SciRuby/gnuplotrb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing data from Daru containers\n",
    "DARU (Data Analysis in RUby) is a library for storage, analysis, manipulation and visualization of data. You can find information about daru in its [repository](https://github.com/v0dro/daru).\n",
    "\n",
    "GnuplotRB takes from Daru::Vector or Daru::DataFrame *name* as dataset's *title* and *index* column as *xtic*. Example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th colspan=\"5\">Daru::DataFrame:33875020  rows: 4  cols: 4<tr><th></th><th>Build</th><th>Deploy</th><th>Test</th><th>Overall</th></tr><tr><td>Run A</td><td>312</td><td>215</td><td>525</td><td>1052</td></tr><tr><td>Run B</td><td>630</td><td>441</td><td>1050</td><td>2121</td></tr><tr><td>Run C</td><td>315</td><td>370</td><td>701</td><td>1386</td></tr><tr><td>Run D</td><td>312</td><td>220</td><td>514</td><td>1046</td></tr></table>"
      ],
      "text/plain": [
       "\n",
       "#<Daru::DataFrame:33875020 @name = 96be5f7b-9b2f-4fc8-bc38-7c0098d1cc76 @size = 4>\n",
       "                Build     Deploy       Test    Overall \n",
       "     Run A        312        215        525       1052 \n",
       "     Run B        630        441       1050       2121 \n",
       "     Run C        315        370        701       1386 \n",
       "     Run D        312        220        514       1046 \n"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "require 'daru'\n",
    "require 'gnuplotrb'\n",
    "include GnuplotRB\n",
    "include GnuplotRB::Fit\n",
    "\n",
    "df = Daru::DataFrame.new({\n",
    "  Build: [312, 630, 315, 312],\n",
    "  Test: [525, 1050, 701, 514],\n",
    "  Deploy: [215, 441, 370, 220]\n",
    "  },\n",
    "  index: ['Run A', 'Run B', 'Run C', 'Run D']\n",
    ")\n",
    "df[:Overall] = df[:Build] + df[:Test] + df[:Deploy]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you pass DataFrame to Plot.new it uses every column of DataFrame as a dataset with column name as dataset title:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"  standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg \n",
       " width=\"600\" height=\"480\"\n",
       " viewBox=\"0 0 600 480\"\n",
       " xmlns=\"http://www.w3.org/2000/svg\"\n",
       " xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
       ">\n",
       "\n",
       "<title>Gnuplot</title>\n",
       "<desc>Produced by GNUPLOT 5.0 patchlevel rc2 </desc>\n",
       "\n",
       "<g id=\"gnuplot_canvas\">\n",
       "\n",
       "<rect x=\"0\" y=\"0\" width=\"600\" height=\"480\" fill=\"none\"/>\n",
       "<defs>\n",
       "\n",
       "\t<circle id='gpDot' r='0.5' stroke-width='0.5'/>\n",
       "\t<path id='gpPt0' stroke-width='0.222' stroke='currentColor' d='M-1,0 h2 M0,-1 v2'/>\n",
       "\t<path id='gpPt1' stroke-width='0.222' stroke='currentColor' d='M-1,-1 L1,1 M1,-1 L-1,1'/>\n",
       "\t<path id='gpPt2' stroke-width='0.222' stroke='currentColor' d='M-1,0 L1,0 M0,-1 L0,1 M-1,-1 L1,1 M-1,1 L1,-1'/>\n",
       "\t<rect id='gpPt3' stroke-width='0.222' stroke='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<rect id='gpPt4' stroke-width='0.222' stroke='currentColor' fill='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<circle id='gpPt5' stroke-width='0.222' stroke='currentColor' cx='0' cy='0' r='1'/>\n",
       "\t<use xlink:href='#gpPt5' id='gpPt6' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt7' stroke-width='0.222' stroke='currentColor' d='M0,-1.33 L-1.33,0.67 L1.33,0.67 z'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt8' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt9' stroke='currentColor' transform='rotate(180)'/>\n",
       "\t<use xlink:href='#gpPt9' id='gpPt10' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt3' id='gpPt11' stroke='currentColor' transform='rotate(45)'/>\n",
       "\t<use xlink:href='#gpPt11' id='gpPt12' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt13' stroke-width='0.222' stroke='currentColor' d='M0,1.330 L1.265,0.411 L0.782,-1.067 L-0.782,-1.076 L-1.265,0.411 z'/>\n",
       "\t<use xlink:href='#gpPt13' id='gpPt14' fill='currentColor' stroke='none'/>\n",
       "\t<filter id='textbox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='white' flood-opacity='1' result='bgnd'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='bgnd' operator='atop'/>\n",
       "\t</filter>\n",
       "\t<filter id='greybox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='lightgrey' flood-opacity='1' result='grey'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='grey' operator='atop'/>\n",
       "\t</filter>\n",
       "</defs>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,422.4 L89.2,422.4 M571.0,422.4 L562.0,422.4  '/>\t<g transform=\"translate(71.9,426.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,338.7 L89.2,338.7 M571.0,338.7 L562.0,338.7  '/>\t<g transform=\"translate(71.9,343.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 500</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,255.0 L89.2,255.0 M571.0,255.0 L562.0,255.0  '/>\t<g transform=\"translate(71.9,259.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1000</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,171.3 L89.2,171.3 M571.0,171.3 L562.0,171.3  '/>\t<g transform=\"translate(71.9,175.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1500</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,87.6 L89.2,87.6 M571.0,87.6 L562.0,87.6  '/>\t<g transform=\"translate(71.9,92.1)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 2000</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,422.4 L80.2,413.4 M80.2,54.1 L80.2,63.1  '/>\t<g transform=\"translate(80.2,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run A</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M243.8,422.4 L243.8,413.4 M243.8,54.1 L243.8,63.1  '/>\t<g transform=\"translate(243.8,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run B</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M407.4,422.4 L407.4,413.4 M407.4,54.1 L407.4,63.1  '/>\t<g transform=\"translate(407.4,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run C</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M571.0,422.4 L571.0,413.4 M571.0,54.1 L571.0,63.1  '/>\t<g transform=\"translate(571.0,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run D</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,54.1 L80.2,422.4 L571.0,422.4 L571.0,54.1 L80.2,54.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(17.6,238.3) rotate(270)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Time, s</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(325.6,471.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Number of test</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(325.6,31.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Time spent to run deploy pipeline</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>Build</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(503.9,76.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Build</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M512.2,72.1 L554.4,72.1 M80.2,370.2 L243.8,316.9 L407.4,369.7 L571.0,370.2  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_2\" ><title>Deploy</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(503.9,94.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Deploy</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M512.2,90.1 L554.4,90.1 M80.2,386.4 L243.8,348.6 L407.4,360.5 L571.0,385.6  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_3\" ><title>Test</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(503.9,112.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Test</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M512.2,108.1 L554.4,108.1 M80.2,334.5 L243.8,246.6 L407.4,305.0 L571.0,336.4  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_4\" ><title>Overall</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(503.9,130.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Overall</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(230, 159,   0)'  d='M512.2,126.1 L554.4,126.1 M80.2,246.3 L243.8,67.3 L407.4,190.4 L571.0,247.3  '/></g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb(230, 159,   0)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,54.1 L80.2,422.4 L571.0,422.4 L571.0,54.1 L80.2,54.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x000000040d2b78 @options=Hamster::Hash[:style_data => \"lines\", :xlabel => \"Number of test\", :ylabel => \"Time, s\", :title => \"Time spent to run deploy pipeline\", :yrange => 0..2200], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000040d2880 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d26f0 @stored_in_file=false, @data=\"\\\"Run A\\\" 312\\n\\\"Run B\\\" 630\\n\\\"Run C\\\" 315\\n\\\"Run D\\\" 312\\n\">, @options=Hamster::Hash[:title => :Build, :using => \"2:xtic(1)\"]>, #<GnuplotRB::Dataset:0x000000040d1d90 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d1c00 @stored_in_file=false, @data=\"\\\"Run A\\\" 215\\n\\\"Run B\\\" 441\\n\\\"Run C\\\" 370\\n\\\"Run D\\\" 220\\n\">, @options=Hamster::Hash[:title => :Deploy, :using => \"2:xtic(1)\"]>, #<GnuplotRB::Dataset:0x000000040d12a0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d1110 @stored_in_file=false, @data=\"\\\"Run A\\\" 525\\n\\\"Run B\\\" 1050\\n\\\"Run C\\\" 701\\n\\\"Run D\\\" 514\\n\">, @options=Hamster::Hash[:title => :Test, :using => \"2:xtic(1)\"]>, #<GnuplotRB::Dataset:0x000000040d07b0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d0620 @stored_in_file=false, @data=\"\\\"Run A\\\" 1052\\n\\\"Run B\\\" 2121\\n\\\"Run C\\\" 1386\\n\\\"Run D\\\" 1046\\n\">, @options=Hamster::Hash[:title => :Overall, :using => \"2:xtic(1)\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from_daru = Plot.new(\n",
    "    df,\n",
    "    style_data: 'lines',\n",
    "    yrange: 0..2200,\n",
    "    xlabel: 'Number of test',\n",
    "    ylabel: 'Time, s',\n",
    "    title: 'Time spent to run deploy pipeline'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"  standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg \n",
       " width=\"600\" height=\"480\"\n",
       " viewBox=\"0 0 600 480\"\n",
       " xmlns=\"http://www.w3.org/2000/svg\"\n",
       " xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
       ">\n",
       "\n",
       "<title>Gnuplot</title>\n",
       "<desc>Produced by GNUPLOT 5.0 patchlevel rc2 </desc>\n",
       "\n",
       "<g id=\"gnuplot_canvas\">\n",
       "\n",
       "<rect x=\"0\" y=\"0\" width=\"600\" height=\"480\" fill=\"none\"/>\n",
       "<defs>\n",
       "\n",
       "\t<circle id='gpDot' r='0.5' stroke-width='0.5'/>\n",
       "\t<path id='gpPt0' stroke-width='0.222' stroke='currentColor' d='M-1,0 h2 M0,-1 v2'/>\n",
       "\t<path id='gpPt1' stroke-width='0.222' stroke='currentColor' d='M-1,-1 L1,1 M1,-1 L-1,1'/>\n",
       "\t<path id='gpPt2' stroke-width='0.222' stroke='currentColor' d='M-1,0 L1,0 M0,-1 L0,1 M-1,-1 L1,1 M-1,1 L1,-1'/>\n",
       "\t<rect id='gpPt3' stroke-width='0.222' stroke='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<rect id='gpPt4' stroke-width='0.222' stroke='currentColor' fill='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<circle id='gpPt5' stroke-width='0.222' stroke='currentColor' cx='0' cy='0' r='1'/>\n",
       "\t<use xlink:href='#gpPt5' id='gpPt6' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt7' stroke-width='0.222' stroke='currentColor' d='M0,-1.33 L-1.33,0.67 L1.33,0.67 z'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt8' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt9' stroke='currentColor' transform='rotate(180)'/>\n",
       "\t<use xlink:href='#gpPt9' id='gpPt10' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt3' id='gpPt11' stroke='currentColor' transform='rotate(45)'/>\n",
       "\t<use xlink:href='#gpPt11' id='gpPt12' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt13' stroke-width='0.222' stroke='currentColor' d='M0,1.330 L1.265,0.411 L0.782,-1.067 L-0.782,-1.076 L-1.265,0.411 z'/>\n",
       "\t<use xlink:href='#gpPt13' id='gpPt14' fill='currentColor' stroke='none'/>\n",
       "\t<filter id='textbox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='white' flood-opacity='1' result='bgnd'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='bgnd' operator='atop'/>\n",
       "\t</filter>\n",
       "\t<filter id='greybox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='lightgrey' flood-opacity='1' result='grey'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='grey' operator='atop'/>\n",
       "\t</filter>\n",
       "</defs>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,422.4 L89.2,422.4 M575.0,422.4 L566.0,422.4  '/>\t<g transform=\"translate(71.9,426.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,338.7 L89.2,338.7 M575.0,338.7 L566.0,338.7  '/>\t<g transform=\"translate(71.9,343.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 500</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,255.0 L89.2,255.0 M575.0,255.0 L566.0,255.0  '/>\t<g transform=\"translate(71.9,259.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1000</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,171.3 L89.2,171.3 M575.0,171.3 L566.0,171.3  '/>\t<g transform=\"translate(71.9,175.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1500</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,87.6 L89.2,87.6 M575.0,87.6 L566.0,87.6  '/>\t<g transform=\"translate(71.9,92.1)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 2000</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M179.2,422.4 L179.2,413.4 M179.2,54.1 L179.2,63.1  '/>\t<g transform=\"translate(179.2,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run A</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M278.1,422.4 L278.1,413.4 M278.1,54.1 L278.1,63.1  '/>\t<g transform=\"translate(278.1,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run B</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M377.1,422.4 L377.1,413.4 M377.1,54.1 L377.1,63.1  '/>\t<g transform=\"translate(377.1,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run C</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M476.0,422.4 L476.0,413.4 M476.0,54.1 L476.0,63.1  '/>\t<g transform=\"translate(476.0,444.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run D</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,54.1 L80.2,422.4 L575.0,422.4 L575.0,54.1 L80.2,54.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(17.6,238.3) rotate(270)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Time, s</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(327.6,471.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Number of test</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(327.6,31.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Time spent to run deploy pipeline</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>Build</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,76.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Build</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat1' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat1)' points = '516.2,76.6 558.4,76.6 558.4,67.6 516.2,67.6 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M516.2,76.6 L558.4,76.6 L558.4,67.6 L516.2,67.6 L516.2,76.6 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat2' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat2)' points = '154.4,422.4 171.0,422.4 171.0,370.1 154.4,370.1 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M154.4,422.4 L154.4,370.2 L170.9,370.2 L170.9,422.4 L154.4,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat2)' points = '253.4,422.4 270.0,422.4 270.0,316.8 253.4,316.8 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M253.4,422.4 L253.4,316.9 L269.9,316.9 L269.9,422.4 L253.4,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat2)' points = '352.3,422.4 368.9,422.4 368.9,369.6 352.3,369.6 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M352.3,422.4 L352.3,369.7 L368.8,369.7 L368.8,422.4 L352.3,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat2)' points = '451.3,422.4 467.9,422.4 467.9,370.1 451.3,370.1 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M451.3,422.4 L451.3,370.2 L467.8,370.2 L467.8,422.4 L451.3,422.4 Z  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_2\" ><title>Deploy</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,94.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Deploy</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat3' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t\t<path style='fill:none; stroke:rgb(0,158,115)' d='M0,0 L8,8 M0,8 L8,0'/>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat3)' points = '516.2,94.6 558.4,94.6 558.4,85.6 516.2,85.6 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M516.2,94.6 L558.4,94.6 L558.4,85.6 L516.2,85.6 L516.2,94.6 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat4' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t\t<path style='fill:none; stroke:rgb(0,158,115)' d='M0,0 L8,8 M0,8 L8,0'/>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat4)' points = '170.9,422.4 187.5,422.4 187.5,386.3 170.9,386.3 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M170.9,422.4 L170.9,386.4 L187.4,386.4 L187.4,422.4 L170.9,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat4)' points = '269.9,422.4 286.5,422.4 286.5,348.5 269.9,348.5 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M269.9,422.4 L269.9,348.6 L286.4,348.6 L286.4,422.4 L269.9,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat4)' points = '368.8,422.4 385.4,422.4 385.4,360.4 368.8,360.4 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M368.8,422.4 L368.8,360.5 L385.3,360.5 L385.3,422.4 L368.8,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat4)' points = '467.8,422.4 484.4,422.4 484.4,385.5 467.8,385.5 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M467.8,422.4 L467.8,385.6 L484.3,385.6 L484.3,422.4 L467.8,422.4 Z  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_3\" ><title>Test</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,112.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Test</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat5' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t\t<path style='fill:none; stroke:rgb(86,180,233)' d='M0,0 L8,8 M0,8 L8,0 M0,4 L4,8 L8,4 L4,0 L0,4'/>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat5)' points = '516.2,112.6 558.4,112.6 558.4,103.6 516.2,103.6 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M516.2,112.6 L558.4,112.6 L558.4,103.6 L516.2,103.6 L516.2,112.6 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat6' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t\t<path style='fill:none; stroke:rgb(86,180,233)' d='M0,0 L8,8 M0,8 L8,0 M0,4 L4,8 L8,4 L4,0 L0,4'/>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat6)' points = '187.4,422.4 204.0,422.4 204.0,334.4 187.4,334.4 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M187.4,422.4 L187.4,334.5 L203.9,334.5 L203.9,422.4 L187.4,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat6)' points = '286.4,422.4 303.0,422.4 303.0,246.5 286.4,246.5 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M286.4,422.4 L286.4,246.6 L302.9,246.6 L302.9,422.4 L286.4,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat6)' points = '385.3,422.4 401.9,422.4 401.9,304.9 385.3,304.9 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M385.3,422.4 L385.3,305.0 L401.8,305.0 L401.8,422.4 L385.3,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat6)' points = '484.3,422.4 500.9,422.4 500.9,336.3 484.3,336.3 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M484.3,422.4 L484.3,336.4 L500.8,336.4 L500.8,422.4 L484.3,422.4 Z  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_4\" ><title>Overall</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,130.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Overall</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat7' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t\t<path style='stroke:none; fill:rgb(230,159,0)' d='M0,0 L0,8 L8,8 L8,0 L0,0'/>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat7)' points = '516.2,130.6 558.4,130.6 558.4,121.6 516.2,121.6 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(230, 159,   0)'  d='M516.2,130.6 L558.4,130.6 L558.4,121.6 L516.2,121.6 L516.2,130.6 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<defs>\n",
       "\t\t<pattern id='gpPat8' patternUnits='userSpaceOnUse' x='0' y='0' width='8' height='8'>\n",
       "\t\t\t<path style='stroke:none; fill:rgb(230,159,0)' d='M0,0 L0,8 L8,8 L8,0 L0,0'/>\n",
       "\t\t</pattern>\n",
       "\t</defs>\n",
       "\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat8)' points = '203.9,422.4 220.5,422.4 220.5,246.2 203.9,246.2 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(230, 159,   0)'  d='M203.9,422.4 L203.9,246.3 L220.4,246.3 L220.4,422.4 L203.9,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat8)' points = '302.9,422.4 319.5,422.4 319.5,67.2 302.9,67.2 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(230, 159,   0)'  d='M302.9,422.4 L302.9,67.3 L319.4,67.3 L319.4,422.4 L302.9,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat8)' points = '401.8,422.4 418.4,422.4 418.4,190.3 401.8,190.3 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(230, 159,   0)'  d='M401.8,422.4 L401.8,190.4 L418.3,190.4 L418.3,422.4 L401.8,422.4 Z  '/>\t<g stroke='none' shape-rendering='crispEdges'>\n",
       "\t\t<polygon  fill = 'url(#gpPat8)' points = '500.8,422.4 517.4,422.4 517.4,247.2 500.8,247.2 '/>\n",
       "\t</g>\n",
       "\t<path stroke='rgb(230, 159,   0)'  d='M500.8,422.4 L500.8,247.3 L517.3,247.3 L517.3,422.4 L500.8,422.4 Z  '/></g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb(230, 159,   0)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M80.2,54.1 L80.2,422.4 L575.0,422.4 L575.0,54.1 L80.2,54.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x0000000411f810 @options=Hamster::Hash[:style_data => \"histograms\", :xlabel => \"Number of test\", :ylabel => \"Time, s\", :title => \"Time spent to run deploy pipeline\", :style_fill => \"pattern border\", :yrange => 0..2200], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000040d2880 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d26f0 @stored_in_file=false, @data=\"\\\"Run A\\\" 312\\n\\\"Run B\\\" 630\\n\\\"Run C\\\" 315\\n\\\"Run D\\\" 312\\n\">, @options=Hamster::Hash[:title => :Build, :using => \"2:xtic(1)\"]>, #<GnuplotRB::Dataset:0x000000040d1d90 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d1c00 @stored_in_file=false, @data=\"\\\"Run A\\\" 215\\n\\\"Run B\\\" 441\\n\\\"Run C\\\" 370\\n\\\"Run D\\\" 220\\n\">, @options=Hamster::Hash[:title => :Deploy, :using => \"2:xtic(1)\"]>, #<GnuplotRB::Dataset:0x000000040d12a0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d1110 @stored_in_file=false, @data=\"\\\"Run A\\\" 525\\n\\\"Run B\\\" 1050\\n\\\"Run C\\\" 701\\n\\\"Run D\\\" 514\\n\">, @options=Hamster::Hash[:title => :Test, :using => \"2:xtic(1)\"]>, #<GnuplotRB::Dataset:0x000000040d07b0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040d0620 @stored_in_file=false, @data=\"\\\"Run A\\\" 1052\\n\\\"Run B\\\" 2121\\n\\\"Run C\\\" 1386\\n\\\"Run D\\\" 1046\\n\">, @options=Hamster::Hash[:title => :Overall, :using => \"2:xtic(1)\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from_daru.options(\n",
    "    style_data: 'histograms',\n",
    "    style_fill: 'pattern border'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Datasets may be initialized both with Array or DataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"  standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg \n",
       " width=\"600\" height=\"480\"\n",
       " viewBox=\"0 0 600 480\"\n",
       " xmlns=\"http://www.w3.org/2000/svg\"\n",
       " xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
       ">\n",
       "\n",
       "<title>Gnuplot</title>\n",
       "<desc>Produced by GNUPLOT 5.0 patchlevel rc2 </desc>\n",
       "\n",
       "<g id=\"gnuplot_canvas\">\n",
       "\n",
       "<rect x=\"0\" y=\"0\" width=\"600\" height=\"480\" fill=\"none\"/>\n",
       "<defs>\n",
       "\n",
       "\t<circle id='gpDot' r='0.5' stroke-width='0.5'/>\n",
       "\t<path id='gpPt0' stroke-width='0.222' stroke='currentColor' d='M-1,0 h2 M0,-1 v2'/>\n",
       "\t<path id='gpPt1' stroke-width='0.222' stroke='currentColor' d='M-1,-1 L1,1 M1,-1 L-1,1'/>\n",
       "\t<path id='gpPt2' stroke-width='0.222' stroke='currentColor' d='M-1,0 L1,0 M0,-1 L0,1 M-1,-1 L1,1 M-1,1 L1,-1'/>\n",
       "\t<rect id='gpPt3' stroke-width='0.222' stroke='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<rect id='gpPt4' stroke-width='0.222' stroke='currentColor' fill='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<circle id='gpPt5' stroke-width='0.222' stroke='currentColor' cx='0' cy='0' r='1'/>\n",
       "\t<use xlink:href='#gpPt5' id='gpPt6' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt7' stroke-width='0.222' stroke='currentColor' d='M0,-1.33 L-1.33,0.67 L1.33,0.67 z'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt8' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt9' stroke='currentColor' transform='rotate(180)'/>\n",
       "\t<use xlink:href='#gpPt9' id='gpPt10' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt3' id='gpPt11' stroke='currentColor' transform='rotate(45)'/>\n",
       "\t<use xlink:href='#gpPt11' id='gpPt12' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt13' stroke-width='0.222' stroke='currentColor' d='M0,1.330 L1.265,0.411 L0.782,-1.067 L-0.782,-1.076 L-1.265,0.411 z'/>\n",
       "\t<use xlink:href='#gpPt13' id='gpPt14' fill='currentColor' stroke='none'/>\n",
       "\t<filter id='textbox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='white' flood-opacity='1' result='bgnd'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='bgnd' operator='atop'/>\n",
       "\t</filter>\n",
       "\t<filter id='greybox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='lightgrey' flood-opacity='1' result='grey'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='grey' operator='atop'/>\n",
       "\t</filter>\n",
       "</defs>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,444.0 L71.2,444.0 M571.0,444.0 L562.0,444.0  '/>\t<g transform=\"translate(53.9,448.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1000</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,372.8 L71.2,372.8 M571.0,372.8 L562.0,372.8  '/>\t<g transform=\"translate(53.9,377.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1200</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,301.6 L71.2,301.6 M571.0,301.6 L562.0,301.6  '/>\t<g transform=\"translate(53.9,306.1)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1400</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,230.3 L71.2,230.3 M571.0,230.3 L562.0,230.3  '/>\t<g transform=\"translate(53.9,234.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1600</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,159.1 L71.2,159.1 M571.0,159.1 L562.0,159.1  '/>\t<g transform=\"translate(53.9,163.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1800</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,87.9 L71.2,87.9 M571.0,87.9 L562.0,87.9  '/>\t<g transform=\"translate(53.9,92.4)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 2000</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,16.7 L71.2,16.7 M571.0,16.7 L562.0,16.7  '/>\t<g transform=\"translate(53.9,21.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 2200</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,444.0 L62.2,435.0 M62.2,16.7 L62.2,25.7  '/>\t<g transform=\"translate(62.2,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run A</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M231.8,444.0 L231.8,435.0 M231.8,16.7 L231.8,25.7  '/>\t<g transform=\"translate(231.8,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run B</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M401.4,444.0 L401.4,435.0 M401.4,16.7 L401.4,25.7  '/>\t<g transform=\"translate(401.4,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run C</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M571.0,444.0 L571.0,435.0 M571.0,16.7 L571.0,25.7  '/>\t<g transform=\"translate(571.0,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Run D</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,16.7 L62.2,444.0 L571.0,444.0 L571.0,16.7 L62.2,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>Overall</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(503.9,39.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Overall</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M512.2,34.7 L554.4,34.7 M62.2,425.5 L231.8,44.8 L401.4,306.6 L571.0,427.6  '/></g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb(148,   0, 211)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M62.2,16.7 L62.2,444.0 L571.0,444.0 L571.0,16.7 L62.2,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x0000000415ca30 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000415c9b8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000415c828 @stored_in_file=false, @data=\"\\\"Run A\\\" 1052\\n\\\"Run B\\\" 2121\\n\\\"Run C\\\" 1386\\n\\\"Run D\\\" 1046\\n\">, @options=Hamster::Hash[:with => \"lines\", :using => \"2:xtic(1)\", :title => :Overall]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Plot.new([df[:Overall], with: 'lines'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"  standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg \n",
       " width=\"600\" height=\"480\"\n",
       " viewBox=\"0 0 600 480\"\n",
       " xmlns=\"http://www.w3.org/2000/svg\"\n",
       " xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
       ">\n",
       "\n",
       "<title>Gnuplot</title>\n",
       "<desc>Produced by GNUPLOT 5.0 patchlevel rc2 </desc>\n",
       "\n",
       "<g id=\"gnuplot_canvas\">\n",
       "\n",
       "<rect x=\"0\" y=\"0\" width=\"600\" height=\"480\" fill=\"none\"/>\n",
       "<defs>\n",
       "\n",
       "\t<circle id='gpDot' r='0.5' stroke-width='0.5'/>\n",
       "\t<path id='gpPt0' stroke-width='0.222' stroke='currentColor' d='M-1,0 h2 M0,-1 v2'/>\n",
       "\t<path id='gpPt1' stroke-width='0.222' stroke='currentColor' d='M-1,-1 L1,1 M1,-1 L-1,1'/>\n",
       "\t<path id='gpPt2' stroke-width='0.222' stroke='currentColor' d='M-1,0 L1,0 M0,-1 L0,1 M-1,-1 L1,1 M-1,1 L1,-1'/>\n",
       "\t<rect id='gpPt3' stroke-width='0.222' stroke='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<rect id='gpPt4' stroke-width='0.222' stroke='currentColor' fill='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<circle id='gpPt5' stroke-width='0.222' stroke='currentColor' cx='0' cy='0' r='1'/>\n",
       "\t<use xlink:href='#gpPt5' id='gpPt6' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt7' stroke-width='0.222' stroke='currentColor' d='M0,-1.33 L-1.33,0.67 L1.33,0.67 z'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt8' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt9' stroke='currentColor' transform='rotate(180)'/>\n",
       "\t<use xlink:href='#gpPt9' id='gpPt10' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt3' id='gpPt11' stroke='currentColor' transform='rotate(45)'/>\n",
       "\t<use xlink:href='#gpPt11' id='gpPt12' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt13' stroke-width='0.222' stroke='currentColor' d='M0,1.330 L1.265,0.411 L0.782,-1.067 L-0.782,-1.076 L-1.265,0.411 z'/>\n",
       "\t<use xlink:href='#gpPt13' id='gpPt14' fill='currentColor' stroke='none'/>\n",
       "\t<filter id='textbox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='white' flood-opacity='1' result='bgnd'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='bgnd' operator='atop'/>\n",
       "\t</filter>\n",
       "\t<filter id='greybox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='lightgrey' flood-opacity='1' result='grey'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='grey' operator='atop'/>\n",
       "\t</filter>\n",
       "</defs>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,444.0 L62.9,444.0 M575.0,444.0 L566.0,444.0  '/>\t<g transform=\"translate(45.6,448.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >-100</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,401.3 L62.9,401.3 M575.0,401.3 L566.0,401.3  '/>\t<g transform=\"translate(45.6,405.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,358.5 L62.9,358.5 M575.0,358.5 L566.0,358.5  '/>\t<g transform=\"translate(45.6,363.0)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 100</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,315.8 L62.9,315.8 M575.0,315.8 L566.0,315.8  '/>\t<g transform=\"translate(45.6,320.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 200</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,273.1 L62.9,273.1 M575.0,273.1 L566.0,273.1  '/>\t<g transform=\"translate(45.6,277.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 300</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,230.3 L62.9,230.3 M575.0,230.3 L566.0,230.3  '/>\t<g transform=\"translate(45.6,234.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 400</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,187.6 L62.9,187.6 M575.0,187.6 L566.0,187.6  '/>\t<g transform=\"translate(45.6,192.1)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 500</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,144.9 L62.9,144.9 M575.0,144.9 L566.0,144.9  '/>\t<g transform=\"translate(45.6,149.4)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 600</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,102.2 L62.9,102.2 M575.0,102.2 L566.0,102.2  '/>\t<g transform=\"translate(45.6,106.7)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 700</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,59.4 L62.9,59.4 M575.0,59.4 L566.0,59.4  '/>\t<g transform=\"translate(45.6,63.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 800</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L62.9,16.7 M575.0,16.7 L566.0,16.7  '/>\t<g transform=\"translate(45.6,21.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 900</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,444.0 L53.9,435.0 M53.9,16.7 L53.9,25.7  '/>\t<g transform=\"translate(53.9,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M140.8,444.0 L140.8,435.0 M140.8,16.7 L140.8,25.7  '/>\t<g transform=\"translate(140.8,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 5</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M227.6,444.0 L227.6,435.0 M227.6,16.7 L227.6,25.7  '/>\t<g transform=\"translate(227.6,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 10</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M314.5,444.0 L314.5,435.0 M314.5,16.7 L314.5,25.7  '/>\t<g transform=\"translate(314.5,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 15</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M401.3,444.0 L401.3,435.0 M401.3,16.7 L401.3,25.7  '/>\t<g transform=\"translate(401.3,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 20</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M488.2,444.0 L488.2,435.0 M488.2,16.7 L488.2,25.7  '/>\t<g transform=\"translate(488.2,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 25</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M575.0,444.0 L575.0,435.0 M575.0,16.7 L575.0,25.7  '/>\t<g transform=\"translate(575.0,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 30</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L53.9,444.0 L575.0,444.0 L575.0,16.7 L53.9,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>Average value</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,39.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Average value</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M516.2,34.7 L558.4,34.7 M53.9,400.8 L71.3,399.6 L88.6,398.3 L106.0,393.2 L123.4,394.9 L140.8,385.9\n",
       "\t\tL158.1,380.3 L175.5,373.9 L192.9,366.7 L210.2,350.0 L227.6,360.2 L245.0,352.1 L262.3,315.0 L279.7,334.6\n",
       "\t\tL297.1,343.6 L314.5,314.1 L331.8,253.4 L349.2,318.4 L366.6,278.2 L383.9,298.7 L401.3,212.8 L418.7,153.4\n",
       "\t\tL436.0,130.4 L453.4,253.9 L470.8,187.6 L488.2,170.5 L505.5,27.8 L522.9,200.4 L540.3,41.9 L557.6,170.5\n",
       "\t\t '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_2\" ><title>Confidence interval</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,57.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Confidence interval</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M516.2,52.7 L558.4,52.7 M516.2,48.2 L516.2,57.2 M558.4,48.2 L558.4,57.2 M53.9,409.4 L53.9,392.3\n",
       "\t\tM53.9,409.4 L58.4,409.4 M53.9,392.3 L58.4,392.3 M71.3,423.9 L71.3,375.2 M66.8,423.9 L75.8,423.9\n",
       "\t\tM66.8,375.2 L75.8,375.2 M88.6,423.1 L88.6,373.5 M84.1,423.1 L93.1,423.1 M84.1,373.5 L93.1,373.5\n",
       "\t\tM106.0,404.7 L106.0,381.6 M101.5,404.7 L110.5,404.7 M101.5,381.6 L110.5,381.6 M123.4,402.6 L123.4,387.2\n",
       "\t\tM118.9,402.6 L127.9,402.6 M118.9,387.2 L127.9,387.2 M140.8,413.7 L140.8,358.1 M136.3,413.7 L145.3,413.7\n",
       "\t\tM136.3,358.1 L145.3,358.1 M158.1,385.0 L158.1,375.6 M153.6,385.0 L162.6,385.0 M153.6,375.6 L162.6,375.6\n",
       "\t\tM175.5,402.1 L175.5,345.7 M171.0,402.1 L180.0,402.1 M171.0,345.7 L180.0,345.7 M192.9,386.3 L192.9,347.0\n",
       "\t\tM188.4,386.3 L197.4,386.3 M188.4,347.0 L197.4,347.0 M210.2,355.1 L210.2,344.9 M205.7,355.1 L214.7,355.1\n",
       "\t\tM205.7,344.9 L214.7,344.9 M227.6,360.2 M223.1,360.2 L232.1,360.2 M223.1,360.2 L232.1,360.2 M245.0,357.3\n",
       "\t\tL245.0,347.0 M240.5,357.3 L249.5,357.3 M240.5,347.0 L249.5,347.0 M262.3,337.2 L262.3,292.7 M257.8,337.2\n",
       "\t\tL266.8,337.2 M257.8,292.7 L266.8,292.7 M279.7,357.7 L279.7,311.5 M275.2,357.7 L284.2,357.7 M275.2,311.5\n",
       "\t\tL284.2,311.5 M297.1,361.1 L297.1,326.1 M292.6,361.1 L301.6,361.1 M292.6,326.1 L301.6,326.1 M314.5,340.6\n",
       "\t\tL314.5,287.6 M310.0,340.6 L319.0,340.6 M310.0,287.6 L319.0,287.6 M331.8,256.4 L331.8,250.4 M327.3,256.4\n",
       "\t\tL336.3,256.4 M327.3,250.4 L336.3,250.4 M349.2,333.3 L349.2,303.4 M344.7,333.3 L353.7,333.3 M344.7,303.4\n",
       "\t\tL353.7,303.4 M366.6,294.0 L366.6,262.4 M362.1,294.0 L371.1,294.0 M362.1,262.4 L371.1,262.4 M383.9,327.3\n",
       "\t\tL383.9,270.1 M379.4,327.3 L388.4,327.3 M379.4,270.1 L388.4,270.1 M401.3,231.2 L401.3,194.5 M396.8,231.2\n",
       "\t\tL405.8,231.2 M396.8,194.5 L405.8,194.5 M418.7,154.7 L418.7,152.2 M414.2,154.7 L423.2,154.7 M414.2,152.2\n",
       "\t\tL423.2,152.2 M436.0,155.1 L436.0,105.6 M431.5,155.1 L440.5,155.1 M431.5,105.6 L440.5,105.6 M453.4,266.7\n",
       "\t\tL453.4,241.0 M448.9,266.7 L457.9,266.7 M448.9,241.0 L457.9,241.0 M470.8,208.1 L470.8,167.1 M466.3,208.1\n",
       "\t\tL475.3,208.1 M466.3,167.1 L475.3,167.1 M488.2,175.7 L488.2,165.4 M483.7,175.7 L492.7,175.7 M483.7,165.4\n",
       "\t\tL492.7,165.4 M505.5,32.1 L505.5,23.5 M501.0,32.1 L510.0,32.1 M501.0,23.5 L510.0,23.5 M522.9,229.9\n",
       "\t\tL522.9,171.0 M518.4,229.9 L527.4,229.9 M518.4,171.0 L527.4,171.0 M540.3,49.2 L540.3,34.6 M535.8,49.2\n",
       "\t\tL544.8,49.2 M535.8,34.6 L544.8,34.6 M557.6,189.8 L557.6,151.3 M553.1,189.8 L562.1,189.8 M553.1,151.3\n",
       "\t\tL562.1,151.3  '/>\t<use xlink:href='#gpPt1' transform='translate(53.9,400.8) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(71.3,399.6) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(88.6,398.3) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(106.0,393.2) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(123.4,394.9) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(140.8,385.9) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(158.1,380.3) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(175.5,373.9) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(192.9,366.7) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(210.2,350.0) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(227.6,360.2) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(245.0,352.1) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(262.3,315.0) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(279.7,334.6) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(297.1,343.6) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(314.5,314.1) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(331.8,253.4) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(349.2,318.4) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(366.6,278.2) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(383.9,298.7) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(401.3,212.8) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(418.7,153.4) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(436.0,130.4) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(453.4,253.9) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(470.8,187.6) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(488.2,170.5) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(505.5,27.8) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(522.9,200.4) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(540.3,41.9) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(557.6,170.5) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "\t<use xlink:href='#gpPt1' transform='translate(537.3,52.7) scale(4.50)' color='rgb(  0, 158, 115)'/>\n",
       "</g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb(  0, 158, 115)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L53.9,444.0 L575.0,444.0 L575.0,16.7 L53.9,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x0000000419e278 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000419e200 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000419e070 @stored_in_file=false, @data=\"0 1\\n1 4\\n2 7\\n3 19\\n4 15\\n5 36\\n6 49\\n7 64\\n8 81\\n9 120\\n10 96\\n11 115\\n12 202\\n13 156\\n14 135\\n15 204\\n16 346\\n17 194\\n18 288\\n19 240\\n20 441\\n21 580\\n22 634\\n23 345\\n24 500\\n25 540\\n26 874\\n27 470\\n28 841\\n29 540\\n\">, @options=Hamster::Hash[:with => \"lines\", :using => \"1:2\", :title => \"Average value\"]>, #<GnuplotRB::Dataset:0x000000041a3598 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000041a33e0 @stored_in_file=false, @data=\"0 1 20\\n1 4 57\\n2 7 58\\n3 19 27\\n4 15 18\\n5 36 65\\n6 49 11\\n7 64 66\\n8 81 46\\n9 120 12\\n10 96 0\\n11 115 12\\n12 202 52\\n13 156 54\\n14 135 41\\n15 204 62\\n16 346 7\\n17 194 35\\n18 288 37\\n19 240 67\\n20 441 43\\n21 580 3\\n22 634 58\\n23 345 30\\n24 500 48\\n25 540 12\\n26 874 10\\n27 470 69\\n28 841 17\\n29 540 45\\n\">, @options=Hamster::Hash[:with => \"err\", :using => \"1:2:3\", :title => :\"Confidence interval\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rows = (1..30).map do |i|\n",
    "  [i**2 * (rand(4) + 3) / 5, rand(70)]\n",
    "end\n",
    "df = Daru::DataFrame.rows(rows, order: [:Value, :Error], name: 'Confidence interval')\n",
    "\n",
    "random_points = Plot.new(\n",
    "  [df[:Value], with: 'lines', title: 'Average value'],\n",
    "  [df, with: 'err']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ok, and now lets try to fit it with polynomial:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"  standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg \n",
       " width=\"600\" height=\"480\"\n",
       " viewBox=\"0 0 600 480\"\n",
       " xmlns=\"http://www.w3.org/2000/svg\"\n",
       " xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
       ">\n",
       "\n",
       "<title>Gnuplot</title>\n",
       "<desc>Produced by GNUPLOT 5.0 patchlevel rc2 </desc>\n",
       "\n",
       "<g id=\"gnuplot_canvas\">\n",
       "\n",
       "<rect x=\"0\" y=\"0\" width=\"600\" height=\"480\" fill=\"none\"/>\n",
       "<defs>\n",
       "\n",
       "\t<circle id='gpDot' r='0.5' stroke-width='0.5'/>\n",
       "\t<path id='gpPt0' stroke-width='0.222' stroke='currentColor' d='M-1,0 h2 M0,-1 v2'/>\n",
       "\t<path id='gpPt1' stroke-width='0.222' stroke='currentColor' d='M-1,-1 L1,1 M1,-1 L-1,1'/>\n",
       "\t<path id='gpPt2' stroke-width='0.222' stroke='currentColor' d='M-1,0 L1,0 M0,-1 L0,1 M-1,-1 L1,1 M-1,1 L1,-1'/>\n",
       "\t<rect id='gpPt3' stroke-width='0.222' stroke='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<rect id='gpPt4' stroke-width='0.222' stroke='currentColor' fill='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<circle id='gpPt5' stroke-width='0.222' stroke='currentColor' cx='0' cy='0' r='1'/>\n",
       "\t<use xlink:href='#gpPt5' id='gpPt6' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt7' stroke-width='0.222' stroke='currentColor' d='M0,-1.33 L-1.33,0.67 L1.33,0.67 z'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt8' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt9' stroke='currentColor' transform='rotate(180)'/>\n",
       "\t<use xlink:href='#gpPt9' id='gpPt10' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt3' id='gpPt11' stroke='currentColor' transform='rotate(45)'/>\n",
       "\t<use xlink:href='#gpPt11' id='gpPt12' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt13' stroke-width='0.222' stroke='currentColor' d='M0,1.330 L1.265,0.411 L0.782,-1.067 L-0.782,-1.076 L-1.265,0.411 z'/>\n",
       "\t<use xlink:href='#gpPt13' id='gpPt14' fill='currentColor' stroke='none'/>\n",
       "\t<filter id='textbox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='white' flood-opacity='1' result='bgnd'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='bgnd' operator='atop'/>\n",
       "\t</filter>\n",
       "\t<filter id='greybox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='lightgrey' flood-opacity='1' result='grey'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='grey' operator='atop'/>\n",
       "\t</filter>\n",
       "</defs>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,444.0 L62.9,444.0 M575.0,444.0 L566.0,444.0  '/>\t<g transform=\"translate(45.6,448.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >-100</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,401.3 L62.9,401.3 M575.0,401.3 L566.0,401.3  '/>\t<g transform=\"translate(45.6,405.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,358.5 L62.9,358.5 M575.0,358.5 L566.0,358.5  '/>\t<g transform=\"translate(45.6,363.0)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 100</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,315.8 L62.9,315.8 M575.0,315.8 L566.0,315.8  '/>\t<g transform=\"translate(45.6,320.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 200</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,273.1 L62.9,273.1 M575.0,273.1 L566.0,273.1  '/>\t<g transform=\"translate(45.6,277.6)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 300</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,230.3 L62.9,230.3 M575.0,230.3 L566.0,230.3  '/>\t<g transform=\"translate(45.6,234.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 400</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,187.6 L62.9,187.6 M575.0,187.6 L566.0,187.6  '/>\t<g transform=\"translate(45.6,192.1)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 500</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,144.9 L62.9,144.9 M575.0,144.9 L566.0,144.9  '/>\t<g transform=\"translate(45.6,149.4)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 600</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,102.2 L62.9,102.2 M575.0,102.2 L566.0,102.2  '/>\t<g transform=\"translate(45.6,106.7)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 700</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,59.4 L62.9,59.4 M575.0,59.4 L566.0,59.4  '/>\t<g transform=\"translate(45.6,63.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 800</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L62.9,16.7 M575.0,16.7 L566.0,16.7  '/>\t<g transform=\"translate(45.6,21.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 900</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,444.0 L53.9,435.0 M53.9,16.7 L53.9,25.7  '/>\t<g transform=\"translate(53.9,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M140.8,444.0 L140.8,435.0 M140.8,16.7 L140.8,25.7  '/>\t<g transform=\"translate(140.8,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 5</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M227.6,444.0 L227.6,435.0 M227.6,16.7 L227.6,25.7  '/>\t<g transform=\"translate(227.6,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 10</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M314.5,444.0 L314.5,435.0 M314.5,16.7 L314.5,25.7  '/>\t<g transform=\"translate(314.5,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 15</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M401.3,444.0 L401.3,435.0 M401.3,16.7 L401.3,25.7  '/>\t<g transform=\"translate(401.3,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 20</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M488.2,444.0 L488.2,435.0 M488.2,16.7 L488.2,25.7  '/>\t<g transform=\"translate(488.2,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 25</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M575.0,444.0 L575.0,435.0 M575.0,16.7 L575.0,25.7  '/>\t<g transform=\"translate(575.0,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 30</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L53.9,444.0 L575.0,444.0 L575.0,16.7 L53.9,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>Fit formula</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,39.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Fit formula</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(148,   0, 211)'  d='M516.2,34.7 L558.4,34.7 M53.9,398.0 L59.0,399.5 L64.1,400.6 L69.2,401.2 L74.3,401.5 L79.3,401.4\n",
       "\t\tL84.4,401.1 L89.5,400.5 L94.6,399.6 L99.7,398.5 L104.8,397.3 L109.9,395.9 L115.0,394.4 L120.0,392.7\n",
       "\t\tL125.1,391.0 L130.2,389.2 L135.3,387.3 L140.4,385.4 L145.5,383.4 L150.6,381.5 L155.7,379.5 L160.8,377.5\n",
       "\t\tL165.8,375.5 L170.9,373.5 L176.0,371.6 L181.1,369.6 L186.2,367.7 L191.3,365.7 L196.4,363.8 L201.5,361.9\n",
       "\t\tL206.5,360.0 L211.6,358.2 L216.7,356.3 L221.8,354.4 L226.9,352.5 L232.0,350.6 L237.1,348.7 L242.2,346.7\n",
       "\t\tL247.3,344.8 L252.3,342.8 L257.4,340.7 L262.5,338.6 L267.6,336.4 L272.7,334.1 L277.8,331.8 L282.9,329.4\n",
       "\t\tL288.0,326.8 L293.0,324.2 L298.1,321.5 L303.2,318.6 L308.3,315.6 L313.4,312.5 L318.5,309.3 L323.6,305.8\n",
       "\t\tL328.7,302.3 L333.7,298.6 L338.8,294.7 L343.9,290.7 L349.0,286.5 L354.1,282.1 L359.2,277.6 L364.3,272.9\n",
       "\t\tL369.4,268.1 L374.5,263.1 L379.5,257.9 L384.6,252.6 L389.7,247.1 L394.8,241.5 L399.9,235.8 L405.0,230.0\n",
       "\t\tL410.1,224.1 L415.2,218.0 L420.2,212.0 L425.3,205.8 L430.4,199.7 L435.5,193.5 L440.6,187.3 L445.7,181.2\n",
       "\t\tL450.8,175.1 L455.9,169.2 L461.0,163.3 L466.0,157.6 L471.1,152.2 L476.2,146.9 L481.3,142.0 L486.4,137.3\n",
       "\t\tL491.5,133.0 L496.6,129.2 L501.7,125.8 L506.7,122.9 L511.8,120.7 L516.9,119.0 L522.0,118.1 L527.1,117.9\n",
       "\t\tL532.2,118.6 L537.3,120.2 L542.4,122.8 L547.5,126.4 L552.5,131.2 L557.6,137.2  '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_2\" ><title>Average value</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,57.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Average value</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(  0, 158, 115)'  d='M516.2,52.7 L558.4,52.7 M53.9,400.8 L71.3,399.6 L88.6,398.3 L106.0,393.2 L123.4,394.9 L140.8,385.9\n",
       "\t\tL158.1,380.3 L175.5,373.9 L192.9,366.7 L210.2,350.0 L227.6,360.2 L245.0,352.1 L262.3,315.0 L279.7,334.6\n",
       "\t\tL297.1,343.6 L314.5,314.1 L331.8,253.4 L349.2,318.4 L366.6,278.2 L383.9,298.7 L401.3,212.8 L418.7,153.4\n",
       "\t\tL436.0,130.4 L453.4,253.9 L470.8,187.6 L488.2,170.5 L505.5,27.8 L522.9,200.4 L540.3,41.9 L557.6,170.5\n",
       "\t\t '/></g>\n",
       "\t</g>\n",
       "\t<g id=\"gnuplot_plot_3\" ><title>Confidence interval</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,75.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Confidence interval</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb( 86, 180, 233)'  d='M516.2,70.7 L558.4,70.7 M516.2,66.2 L516.2,75.2 M558.4,66.2 L558.4,75.2 M53.9,409.4 L53.9,392.3\n",
       "\t\tM53.9,409.4 L58.4,409.4 M53.9,392.3 L58.4,392.3 M71.3,423.9 L71.3,375.2 M66.8,423.9 L75.8,423.9\n",
       "\t\tM66.8,375.2 L75.8,375.2 M88.6,423.1 L88.6,373.5 M84.1,423.1 L93.1,423.1 M84.1,373.5 L93.1,373.5\n",
       "\t\tM106.0,404.7 L106.0,381.6 M101.5,404.7 L110.5,404.7 M101.5,381.6 L110.5,381.6 M123.4,402.6 L123.4,387.2\n",
       "\t\tM118.9,402.6 L127.9,402.6 M118.9,387.2 L127.9,387.2 M140.8,413.7 L140.8,358.1 M136.3,413.7 L145.3,413.7\n",
       "\t\tM136.3,358.1 L145.3,358.1 M158.1,385.0 L158.1,375.6 M153.6,385.0 L162.6,385.0 M153.6,375.6 L162.6,375.6\n",
       "\t\tM175.5,402.1 L175.5,345.7 M171.0,402.1 L180.0,402.1 M171.0,345.7 L180.0,345.7 M192.9,386.3 L192.9,347.0\n",
       "\t\tM188.4,386.3 L197.4,386.3 M188.4,347.0 L197.4,347.0 M210.2,355.1 L210.2,344.9 M205.7,355.1 L214.7,355.1\n",
       "\t\tM205.7,344.9 L214.7,344.9 M227.6,360.2 M223.1,360.2 L232.1,360.2 M223.1,360.2 L232.1,360.2 M245.0,357.3\n",
       "\t\tL245.0,347.0 M240.5,357.3 L249.5,357.3 M240.5,347.0 L249.5,347.0 M262.3,337.2 L262.3,292.7 M257.8,337.2\n",
       "\t\tL266.8,337.2 M257.8,292.7 L266.8,292.7 M279.7,357.7 L279.7,311.5 M275.2,357.7 L284.2,357.7 M275.2,311.5\n",
       "\t\tL284.2,311.5 M297.1,361.1 L297.1,326.1 M292.6,361.1 L301.6,361.1 M292.6,326.1 L301.6,326.1 M314.5,340.6\n",
       "\t\tL314.5,287.6 M310.0,340.6 L319.0,340.6 M310.0,287.6 L319.0,287.6 M331.8,256.4 L331.8,250.4 M327.3,256.4\n",
       "\t\tL336.3,256.4 M327.3,250.4 L336.3,250.4 M349.2,333.3 L349.2,303.4 M344.7,333.3 L353.7,333.3 M344.7,303.4\n",
       "\t\tL353.7,303.4 M366.6,294.0 L366.6,262.4 M362.1,294.0 L371.1,294.0 M362.1,262.4 L371.1,262.4 M383.9,327.3\n",
       "\t\tL383.9,270.1 M379.4,327.3 L388.4,327.3 M379.4,270.1 L388.4,270.1 M401.3,231.2 L401.3,194.5 M396.8,231.2\n",
       "\t\tL405.8,231.2 M396.8,194.5 L405.8,194.5 M418.7,154.7 L418.7,152.2 M414.2,154.7 L423.2,154.7 M414.2,152.2\n",
       "\t\tL423.2,152.2 M436.0,155.1 L436.0,105.6 M431.5,155.1 L440.5,155.1 M431.5,105.6 L440.5,105.6 M453.4,266.7\n",
       "\t\tL453.4,241.0 M448.9,266.7 L457.9,266.7 M448.9,241.0 L457.9,241.0 M470.8,208.1 L470.8,167.1 M466.3,208.1\n",
       "\t\tL475.3,208.1 M466.3,167.1 L475.3,167.1 M488.2,175.7 L488.2,165.4 M483.7,175.7 L492.7,175.7 M483.7,165.4\n",
       "\t\tL492.7,165.4 M505.5,32.1 L505.5,23.5 M501.0,32.1 L510.0,32.1 M501.0,23.5 L510.0,23.5 M522.9,229.9\n",
       "\t\tL522.9,171.0 M518.4,229.9 L527.4,229.9 M518.4,171.0 L527.4,171.0 M540.3,49.2 L540.3,34.6 M535.8,49.2\n",
       "\t\tL544.8,49.2 M535.8,34.6 L544.8,34.6 M557.6,189.8 L557.6,151.3 M553.1,189.8 L562.1,189.8 M553.1,151.3\n",
       "\t\tL562.1,151.3  '/>\t<use xlink:href='#gpPt2' transform='translate(53.9,400.8) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(71.3,399.6) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(88.6,398.3) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(106.0,393.2) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(123.4,394.9) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(140.8,385.9) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(158.1,380.3) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(175.5,373.9) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(192.9,366.7) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(210.2,350.0) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(227.6,360.2) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(245.0,352.1) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(262.3,315.0) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(279.7,334.6) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(297.1,343.6) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(314.5,314.1) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(331.8,253.4) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(349.2,318.4) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(366.6,278.2) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(383.9,298.7) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(401.3,212.8) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(418.7,153.4) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(436.0,130.4) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(453.4,253.9) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(470.8,187.6) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(488.2,170.5) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(505.5,27.8) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(522.9,200.4) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(540.3,41.9) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(557.6,170.5) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "\t<use xlink:href='#gpPt2' transform='translate(537.3,70.7) scale(4.50)' color='rgb( 86, 180, 233)'/>\n",
       "</g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb( 86, 180, 233)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L53.9,444.0 L575.0,444.0 L575.0,16.7 L53.9,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x00000003d84980 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d84bd8 @type=:math_function, @data=\" 7.70558*x**0 + -14.1263*x**1 + 6.85537*x**2 + -0.726019*x**3 + 0.0344296*x**4 + -0.000555304*x**5 \", @options=Hamster::Hash[:title => \"Fit formula\"]>, #<GnuplotRB::Dataset:0x0000000419e200 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000419e070 @stored_in_file=false, @data=\"0 1\\n1 4\\n2 7\\n3 19\\n4 15\\n5 36\\n6 49\\n7 64\\n8 81\\n9 120\\n10 96\\n11 115\\n12 202\\n13 156\\n14 135\\n15 204\\n16 346\\n17 194\\n18 288\\n19 240\\n20 441\\n21 580\\n22 634\\n23 345\\n24 500\\n25 540\\n26 874\\n27 470\\n28 841\\n29 540\\n\">, @options=Hamster::Hash[:with => \"lines\", :using => \"1:2\", :title => \"Average value\"]>, #<GnuplotRB::Dataset:0x000000041a3598 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000041a33e0 @stored_in_file=false, @data=\"0 1 20\\n1 4 57\\n2 7 58\\n3 19 27\\n4 15 18\\n5 36 65\\n6 49 11\\n7 64 66\\n8 81 46\\n9 120 12\\n10 96 0\\n11 115 12\\n12 202 52\\n13 156 54\\n14 135 41\\n15 204 62\\n16 346 7\\n17 194 35\\n18 288 37\\n19 240 67\\n20 441 43\\n21 580 3\\n22 634 58\\n23 345 30\\n24 500 48\\n25 540 12\\n26 874 10\\n27 470 69\\n28 841 17\\n29 540 45\\n\">, @options=Hamster::Hash[:with => \"err\", :using => \"1:2:3\", :title => :\"Confidence interval\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poly = fit_poly(df, degree: 5)\n",
    "random_points.add_dataset(poly[:formula_ds])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\"  standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg \n",
       " width=\"600\" height=\"480\"\n",
       " viewBox=\"0 0 600 480\"\n",
       " xmlns=\"http://www.w3.org/2000/svg\"\n",
       " xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
       ">\n",
       "\n",
       "<title>Gnuplot</title>\n",
       "<desc>Produced by GNUPLOT 5.0 patchlevel rc2 </desc>\n",
       "\n",
       "<g id=\"gnuplot_canvas\">\n",
       "\n",
       "<rect x=\"0\" y=\"0\" width=\"600\" height=\"480\" fill=\"none\"/>\n",
       "<defs>\n",
       "\n",
       "\t<circle id='gpDot' r='0.5' stroke-width='0.5'/>\n",
       "\t<path id='gpPt0' stroke-width='0.222' stroke='currentColor' d='M-1,0 h2 M0,-1 v2'/>\n",
       "\t<path id='gpPt1' stroke-width='0.222' stroke='currentColor' d='M-1,-1 L1,1 M1,-1 L-1,1'/>\n",
       "\t<path id='gpPt2' stroke-width='0.222' stroke='currentColor' d='M-1,0 L1,0 M0,-1 L0,1 M-1,-1 L1,1 M-1,1 L1,-1'/>\n",
       "\t<rect id='gpPt3' stroke-width='0.222' stroke='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<rect id='gpPt4' stroke-width='0.222' stroke='currentColor' fill='currentColor' x='-1' y='-1' width='2' height='2'/>\n",
       "\t<circle id='gpPt5' stroke-width='0.222' stroke='currentColor' cx='0' cy='0' r='1'/>\n",
       "\t<use xlink:href='#gpPt5' id='gpPt6' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt7' stroke-width='0.222' stroke='currentColor' d='M0,-1.33 L-1.33,0.67 L1.33,0.67 z'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt8' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt7' id='gpPt9' stroke='currentColor' transform='rotate(180)'/>\n",
       "\t<use xlink:href='#gpPt9' id='gpPt10' fill='currentColor' stroke='none'/>\n",
       "\t<use xlink:href='#gpPt3' id='gpPt11' stroke='currentColor' transform='rotate(45)'/>\n",
       "\t<use xlink:href='#gpPt11' id='gpPt12' fill='currentColor' stroke='none'/>\n",
       "\t<path id='gpPt13' stroke-width='0.222' stroke='currentColor' d='M0,1.330 L1.265,0.411 L0.782,-1.067 L-0.782,-1.076 L-1.265,0.411 z'/>\n",
       "\t<use xlink:href='#gpPt13' id='gpPt14' fill='currentColor' stroke='none'/>\n",
       "\t<filter id='textbox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='white' flood-opacity='1' result='bgnd'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='bgnd' operator='atop'/>\n",
       "\t</filter>\n",
       "\t<filter id='greybox' filterUnits='objectBoundingBox' x='0' y='0' height='1' width='1'>\n",
       "\t  <feFlood flood-color='lightgrey' flood-opacity='1' result='grey'/>\n",
       "\t  <feComposite in='SourceGraphic' in2='grey' operator='atop'/>\n",
       "\t</filter>\n",
       "</defs>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,408.4 L62.9,408.4 M575.0,408.4 L566.0,408.4  '/>\t<g transform=\"translate(45.6,412.9)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,337.2 L62.9,337.2 M575.0,337.2 L566.0,337.2  '/>\t<g transform=\"translate(45.6,341.7)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0.2</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,266.0 L62.9,266.0 M575.0,266.0 L566.0,266.0  '/>\t<g transform=\"translate(45.6,270.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0.4</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,194.7 L62.9,194.7 M575.0,194.7 L566.0,194.7  '/>\t<g transform=\"translate(45.6,199.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0.6</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,123.5 L62.9,123.5 M575.0,123.5 L566.0,123.5  '/>\t<g transform=\"translate(45.6,128.0)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0.8</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,52.3 L62.9,52.3 M575.0,52.3 L566.0,52.3  '/>\t<g transform=\"translate(45.6,56.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 1</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M97.3,444.0 L97.3,435.0 M97.3,16.7 L97.3,25.7  '/>\t<g transform=\"translate(97.3,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M184.2,444.0 L184.2,435.0 M184.2,16.7 L184.2,25.7  '/>\t<g transform=\"translate(184.2,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 20</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M271.0,444.0 L271.0,435.0 M271.0,16.7 L271.0,25.7  '/>\t<g transform=\"translate(271.0,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 40</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M357.9,444.0 L357.9,435.0 M357.9,16.7 L357.9,25.7  '/>\t<g transform=\"translate(357.9,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 60</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M444.7,444.0 L444.7,435.0 M444.7,16.7 L444.7,25.7  '/>\t<g transform=\"translate(444.7,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 80</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M531.6,444.0 L531.6,435.0 M531.6,16.7 L531.6,25.7  '/>\t<g transform=\"translate(531.6,466.5)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 100</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L53.9,444.0 L575.0,444.0 L575.0,16.7 L53.9,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>Scatter example</title>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(507.9,39.2)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"12.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Scatter example</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<use xlink:href='#gpPt5' transform='translate(97.3,374.5) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(101.7,122.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(106.0,135.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(110.4,235.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(114.7,318.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(119.0,108.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(123.4,192.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(127.7,178.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(132.1,291.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(136.4,305.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(140.8,348.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(145.1,112.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(149.4,359.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(153.8,57.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(158.1,73.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(162.5,166.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(166.8,144.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(171.1,274.9) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(175.5,90.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(179.8,231.9) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(184.2,64.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(188.5,134.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(192.9,295.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(197.2,334.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(201.5,302.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(205.9,250.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(210.2,164.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(214.6,329.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(218.9,163.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(223.3,280.5) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(227.6,140.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(231.9,345.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(236.3,241.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(240.6,232.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(245.0,305.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(249.3,94.9) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(253.7,159.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(258.0,250.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(262.3,259.5) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(266.7,141.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(271.0,279.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(275.4,126.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(279.7,133.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(284.1,242.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(288.4,219.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(292.7,255.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(297.1,262.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(301.4,102.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(305.8,141.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(310.1,395.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(314.5,176.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(318.8,344.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(323.1,133.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(327.5,298.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(331.8,242.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(336.2,275.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(340.5,403.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(344.8,234.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(349.2,259.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(353.5,224.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(357.9,193.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(362.2,116.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(366.6,135.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(370.9,348.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(375.2,333.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(379.6,340.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(383.9,317.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(388.3,311.3) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(392.6,372.9) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(397.0,231.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(401.3,55.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(405.6,406.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(410.0,372.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(414.3,354.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(418.7,321.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(423.0,239.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(427.4,280.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(431.7,232.5) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(436.0,102.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(440.4,225.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(444.7,323.9) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(449.1,370.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(453.4,206.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(457.8,214.4) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(462.1,157.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(466.4,130.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(470.8,369.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(475.1,369.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(479.5,360.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(483.8,81.8) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(488.2,127.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(492.5,262.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(496.8,343.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(501.2,273.6) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(505.5,385.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(509.9,289.0) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(514.2,326.1) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(518.5,160.5) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(522.9,234.2) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(527.2,246.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "\t<use xlink:href='#gpPt5' transform='translate(537.3,34.7) scale(4.50)' color='rgb(148,   0, 211)'/>\n",
       "</g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb(148,   0, 211)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M53.9,16.7 L53.9,444.0 L575.0,444.0 L575.0,16.7 L53.9,16.7 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x000000040b2f80 @options=Hamster::Hash[:xrange => -10..110, :yrange => -0.1..1.1], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000040b2d50 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040b2788 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n95 95 0.3352920407909651\\n96 96 0.23117438073670282\\n97 97 0.6962284226414635\\n98 98 0.4893256138781812\\n99 99 0.4542176622491768\\n\">, @options=Hamster::Hash[:pt => 6, :ps => 1, :title => :\"Scatter example\", :using => \"2:3\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = Daru::DataFrame.new({\n",
    "    a: Array.new(100) {|i| i}, \n",
    "    b: 100.times.map{rand}\n",
    "  },\n",
    "  name: 'Scatter example'\n",
    ")\n",
    "\n",
    "Plot.new([df, pt: 6, ps: 1, using: '2:3'], xrange: -10..110, yrange: -0.1..1.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/gif;base64, R0lGODlhgALgAeYAAP///wAAAKCgoP8AAADAAACA/8AA/wDu7sBAAMjIAEFp\n",
       "4f/AIACAQMCA/zBggIsAAECAAP+A/3//1KUqKv//AEDg0AAAABoaGjMzM01N\n",
       "TWZmZn9/f5mZmbOzs8DAwMzMzOXl5f////AyMpDukK3Y5vBV8OD//+7dgv+2\n",
       "wa/u7v/XAAD/AABkAAD/fyKLIi6LVwAA/wAAixkZcAAAgAAAzYfO6wD///8A\n",
       "/wDO0f8Uk/9/UPCAgP9FAPqAcumWevDmjL23a7iGC/X13KCAIP+lAO6C7pQA\n",
       "092g3ZBQQFVrL4AUAIAUFIBAFIBAgIBgwIBg/4CAAP+AQP+gQP+gYP+gcP/A\n",
       "wP//gP//wM23nvD/8KC2zcH/wc3AsHz/QKD/IL6+vp+fnx8fH7+/v19fX9/f\n",
       "3z8/PwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\n",
       "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH/C05FVFND\n",
       "QVBFMi4wAwEAAAAh+QQECgD/ACwAAAAAgALgAQAH/oAAgoOEhYaHiImKi4yN\n",
       "jo+QkZKTlJWWl5iZmpucnZ6foKGio6SlpqeoqaqrrK2ur7CxsrO0tba3uLm6\n",
       "u7y9vr/AwcLDxMXGx8jJysvMzc7P0NHS09TV1tfY2drb3N3e3+Dh4uPk5ebn\n",
       "6Onq6+zt7u/w8fLz9PX29/j5+vv8/f7/AAMKHEiwoMGDCBMqXMiwocOHECNK\n",
       "nEixosWLGDNq3Mixo8ePEQOIHEmypMmTKFOqXMmypcuXMGPKnEmzps2bOHPq\n",
       "3Mmzp8+fQGN+C8CKaDaj2JBaU7pUG9NTT48WdUo1aVWrq6JiVaVVWtdoX5+F\n",
       "FXs11dhpZz+lZbZ2Wdtk/m/hlkUVt1ldkHjzmh2qt6/fWXfd/h2cL/Aww3IJ\n",
       "K34kpkwYkWXATCpDiDIxxMEwH9O8uCOYMmIEkQETRnKkMIRQX97KjXPnjWHI\n",
       "FCIzRhDpAGVkA6D9OExtACNrB7fd2zSAMGIeH7pdWpBl0ZZ5B/AtCHlvMclx\n",
       "6w7QeLpxpcyNs+X7urwh5Igay/7sHIxs2r+VIk0emr6gAGN0F7LP/zeAMaEB\n",
       "ENl7YwiXGwAbhHHgBpbhVl9zwA3CH3qjGLGXN66Zd1FyY7hXCGiLkKGafINE\n",
       "NggY8QVoiIm2/dYhACgiIiJwAZLBnWhGBWBcY/eVaFyMoRghpJBQkafhkaON\n",
       "/vEYiMfpl0iOhCAVgH4zRojIlINUeRxpihBF4iA5UjkimGKKYqEgZ5aS4WFH\n",
       "tknIaM1pleBjIvUIJpgm2XnISYNsEMAGhcw5kpV6WskUlPflCQqRaKY5yprC\n",
       "QOrmRTPGZsgYG5CxXaFIqWZIV57OZp1+mGra45d2YinamNWhkqajjxo56WJM\n",
       "ZolarXdKiKieuOZ6SK+CYAqjf0qJ4WWUyNIoYYMlqkjKkIyqKeushJHmIRnJ\n",
       "SZbcepY1N5pjslF4XID2kcFgofuhZy5lyQ0CYHWSfRsbqoaCaB+h5Z5b4YXd\n",
       "SEptQ43RySKMS+rWnW/mEpWcagsTJ1J+6BZyG37h/jpr2cH5+Ulvjgd/R8jE\n",
       "ENs17b8kCwaOv7+gXPLKWYWjci8vsyyztCePPPPNIMW8i84499wPz7kA7fPQ\n",
       "9wh9i9FEJx0P0rUwrfTT6zgNGNRUSyS1LFdXrXXNytD2VtZbh70N2JpY+7XY\n",
       "aBtEdiYQn5322wGtvYnbcNfNj9ya0G333kWLDAnefAceqd+PlCT44eoYPt7f\n",
       "iDfuDuCY6O345OZAfonklGfusjJ8NmK55qC3jGHopI9ueumoszZ26qw3dXrr\n",
       "sJP1euy0c25z7bizOXvuvGd2e+/A6/J5kcEXD/Pvxicfy/CmMK988c6TEv3z\n",
       "vU8vivXU4449KNtnH3v3/p6A7z3r4nNS/viln583+uxzhXz78Jv/fvz0Xz5/\n",
       "/fhLon4m++cveP/2858AA9ivARqQEgC0RAIPmLYFIpCBEHSEAycxwQhWrYKR\n",
       "wKAFn6bBwm3wg5+6HwgF2EEJjvCEJfTcCUeYQka0cIUse2GXYPhBGT6Jhhu0\n",
       "4ZVwaEEd7omHEfRhCIHIQCEWwohELA8SfZVEEoqwid5bYsSgSD8pEoqK+LOi\n",
       "FbHYFy1yMX9e/GL9wijG+JGxjO07IxrRp8Y1RvGJbuRdG+P4vDnSMXl2vCP0\n",
       "4KjH7/Gxj63LIyDl+MdBok6QhqwdIhPpR16EJz1lcBDjGLnHXUzIWS0ikHgW\n",
       "/rFFSoaEFy9q0XnKZEJPAi96llrVKG3lQVNWjxeHMsRnNNlKV+YuerG81HBq\n",
       "aUtFwvKIsjwQGQbmQpL0MnWK00UqdxOq6pBShcf05S5CiSD/DGKZWnJhNKWp\n",
       "CxE9SD9GmeVuqKnNbTbSktdJFgCyIy5omjOQhXwn3xYpT8fRs56Iuyc+/xfP\n",
       "fb5Nn/7cG0ADWreBEvSf/Tzo1gyqULExtKELTShEofbQiVKtohbloEQzSjSM\n",
       "crSjG/1ozzwq0pGGtKQzIylKU3rSla5MpS59aUtj+i+Y0rSmM73ppGyq053m\n",
       "tKdH4ilQg/rToSqxqEbtjFCT+pqlMnUxTn0qYaIq/tW/ULWqXUQqVrO6u63e\n",
       "7KpezZlWwyrWrpJVpmY9K8nAqtaNsLWtGXkrXC8i17lWpK52nQhe8/rJtPJV\n",
       "Q3v9q0MCK1iGELawCjksYhGi2MWqbayOhUhjIzuQyVI2bpC9rGEzq9nEcraz\n",
       "jO3FIw8xzOlYs5yghSovLmmIYcZrA6edYWpVO80fxXYDgDoRL2drVV5gs5kC\n",
       "wuRuectV4QGzEMiJ5IGGS9y84PK4UbLXct3Z3OIGDbpgUhGPJGjM6nYkmbn4\n",
       "7XmctZZOenc1te1TbIUliHaV8rzO5YU317lMo4hIW8TkJHz1Mj12kndZkmTu\n",
       "ft362QHvw7IGhgeCE/y4/gIzuG9+fbBeHSxheiy4wum4MIbPoeENl6PDHh4H\n",
       "iEO8uQiTeCEjPrGJ0aJiiqS4xatbMYwL8uIZq24uNkYxhXNcuR3zmBw1/jGL\n",
       "ZSxkfwS5yNA4MpKdoeQlL66ATj5Ik6OcGChTmSBTvrIxsqxl9Fq5ywDhMph9\n",
       "R+Qxy0PMZvYFmtP8yzKzucFufjM71ixnXNC5zra4M55poec9Y83HfiZcawIN\n",
       "4S8T+syAPnSVB63oefS50aIzNKTb8ehJ0yXRltadpDOdYUxzGhiV/nSs4ixq\n",
       "HEul1InzNKp3pupVX5fUrq5GqGMtP1jT2iuiLc4iwNAW896aibhgrYyUI+Bf\n",
       "/jNaF9QE0q+MNUljl1iZzwyUZHrtbHE8V52E2C61q80142J7VZsqNrevcW1g\n",
       "/ye3VyzmoMa9lO5Cm5VHNAm69cvuTdeCmrCl93vrbepazHdb5k63vvl9anRO\n",
       "579D3DfByd3qhfPr2A53nb0jnuSGU5xmE7+4oGOs8SFnvOO2szXI1Wzxkaul\n",
       "5CbvxKxT/u1+s3wzKH85/2IucwJCvObIWLnMdf5ynrPc5ykHusmFPnKig9zo\n",
       "HUe6xpV+caZT3OkRh7rDpb5wqhPc6vzGer21zm6uj9vr3AZ7tcXubLIb2+y/\n",
       "Rvut1U5rtsfa7a6G+6rljmq6l9ruosb7p/XOab5n/trvlgb8pAUPacI32vCK\n",
       "RvyhFU9oxgfa8X6e3mgNkaCDNxvnOV8teu5FiFLtJr+yxXzm0ytKib0JuDcU\n",
       "/ejfrUpFZHPgqvfyqwNOCNyKO/bHY3XLP/Yc6uJ+cLqnfTUz6O7fC6/4uBBv\n",
       "a9l7eeODGpTGyfeKhOt755N8F/+ub7A2eXvrH60X/k3WSZwUeu9f/+PmbxrN\n",
       "079DkbP/0u5/f/PWL//d37j+6o8//q9H//1Dfs//h2cBWGcDKGcF+GYHyGYJ\n",
       "mGYLaGYNOGYPCGYR2GUTqGUVeGUXSGUZGGUb6GQduGQfiGQhWGQjKGQl+GOH\n",
       "BSv790P6FwnQooIrKHwS/ncKrxKD7Yd+nRAt0WKDMihrqlCDPIhdHEeD0BKE\n",
       "Quhy+2KER1hwSvgKJ8hjT5hjUWhjUzhjVQhjV9hiWahiW3hiXUhiXxhiYehh\n",
       "Y7hhZYhhZ1hhaShha/hgbchgb5hgcWhgczhgdbhfdwhfCzR5qNWErpBAwtaH\n",
       "fjgVyZBssXWDg0iIyKB8gpiID7dlS8iCjhhpMGd/CTeJj1gMuaRudYKJ14N8\n",
       "xcCIsOeJGHcM+HaIkkiK85cM2Ud+qaeKq5gM4adwsMh/LViLjciEuBgKeXhe\n",
       "vehdv1hdwdhcw0hcxchbxzhbyZhaywhazdhZz6hZ0XhZ00hZ1RhZ1+hY2bhY\n",
       "/tuIWN1YWN8oWOH4V+PIV+WYV+doV+k4V4clRO6oiz4Ij7F4c8Rzfx43g/gY\n",
       "j+5zixmEhBVnj7gmj6U4hPAHkGAhkAFpkLbYL0HRkA75kBAZkRI5kRRZkRZ5\n",
       "kRgJkbu4kRzZkR75kSAZkiI5kiRZkiZ5kijJDnzYDJXXTiu5DLz2Mbq2DKVF\n",
       "HScyk8vQHbjyksPgNbKEkwTjHZ0RiMzgea7VXpvXTl1DbPT1INTXkyZiLr9B\n",
       "lMeAIrTUlFhpDGaTLk6JlF2pGIb4DOJRJWHZDKCBFGWJDLanW/9hW8ugfGlJ\n",
       "DG1TCGUZl38hitBQJXipltN2TdFmDMDSJPCWDMq3/peyJ5itZ5j8FYnMsJab\n",
       "KIvMgi4JlFzaAWx7KEyh9JiQ+G27MkWLaYnKwB6SSZOpJCWMmRnSFW49GAxj\n",
       "sEvplkCa2ZkCZ12zuQzSN5rKwHymCZqgpl2RuZq/IE5H+ZohZ5m4SRiKiQy0\n",
       "MW+IyUxuIW/N+XqhiHDJKQyF+ZeaiFykVJ0gcYrQACzeKTttqV65iW7uFZ6E\n",
       "SUroWYnuEn0u4p6L0YrPQE628k3/yEz2yYrN0RimIZ+hiZn9mZSueJj+6Z+K\n",
       "MYtMZhIGk073SV+Wl5PK5SwIqgwTOqGXoSgO2k4WmpIc2qEe+qEgGqIiOqIk\n",
       "WqImeqIomqIquqIs6g6BAQAAIfkEBAoA/wAscAB6AAcABwAABxeAAIJGgoNG\n",
       "h4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACx0AIYABwAHAAAHF4AAgkaCg0aH\n",
       "hACJioqLh4yDhoiFkACBACH5BAQKAP8ALHkA6QAHAAcAAAcXgACCRoKDRoeE\n",
       "AImKiouHjIOGiIWQAIEAIfkEBAoA/wAsfQA6AQcABwAABxeAAIJGgoNGh4QA\n",
       "iYqKi4eMg4aIhZAAgQAh+QQECgD/ACyCAGsABwAHAAAHF4AAgkaCg0aHhACJ\n",
       "ioqLh4yDhoiFkACBACH5BAQKAP8ALIcAvgAHAAcAAAcXgACCRoKDRoeEAImK\n",
       "iouHjIOGiIWQAIEAIfkEBAoA/wAsiwCwAAcABwAABxeAAIJGgoNGh4QAiYqK\n",
       "i4eMg4aIhZAAgQAh+QQECgD/ACyQAB8BBwAHAAAHF4AAgkaCg0aHhACJioqL\n",
       "h4yDhoiFkACBACH5BAQKAP8ALJQALQEHAAcAAAcXgACCRoKDRoeEAImKiouH\n",
       "jIOGiIWQAIEAIfkEBAoA/wAsmQBYAQcABwAABxeAAIJGgoNGh4QAiYqKi4eM\n",
       "g4aIhZAAgQAh+QQECgD/ACydAHAABwAHAAAHF4AAgkaCg0aHhACJioqLh4yD\n",
       "hoiFkACBACH5BAQKAP8ALKIAYgEHAAcAAAcXgACCRoKDRoeEAImKiouHjIOG\n",
       "iIWQAIEAIfkEBAoA/wAspgA5AAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aI\n",
       "hZAAgQAh+QQECgD/ACyrAEkABwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiF\n",
       "kACBACH5BAQKAP8ALK8ApAAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQ\n",
       "AIEAIfkEBAoA/wAstACPAAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAA\n",
       "gQAh+QQECgD/ACy4AA8BBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACB\n",
       "ACH5BAQKAP8ALL0AWQAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEA\n",
       "IfkEBAoA/wAswQDlAAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh\n",
       "+QQECgD/ACzGAEAABwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5\n",
       "BAQKAP8ALMsAhQAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkE\n",
       "BAoA/wAszwAkAQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQE\n",
       "CgD/ACzUAEoBBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQK\n",
       "AP8ALNgAKgEHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA\n",
       "/wAs3QD4AAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/\n",
       "ACzhAKMABwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8A\n",
       "LOYARQEHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAs\n",
       "6gCiAAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACzv\n",
       "ABUBBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALPMA\n",
       "iwAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAs+ABV\n",
       "AQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACz8AO8A\n",
       "BwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALAEB5gAH\n",
       "AAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAsBQEuAQcA\n",
       "BwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACwKAV4ABwAH\n",
       "AAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALA8BnQAHAAcA\n",
       "AAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAsEwH3AAcABwAA\n",
       "BxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACwYAQABBwAHAAAH\n",
       "F4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALBwBiwAHAAcAAAcX\n",
       "gACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAsIQETAQcABwAABxeA\n",
       "AIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACwlAX0ABwAHAAAHF4AA\n",
       "gkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALCoBhAAHAAcAAAcXgACC\n",
       "RoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAsLgHwAAcABwAABxeAAIJG\n",
       "goNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACwzAdgABwAHAAAHF4AAgkaC\n",
       "g0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALDcB/AAHAAcAAAcXgACCRoKD\n",
       "RoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAsPAEDAQcABwAABxeAAIJGgoNG\n",
       "h4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACxAAWYABwAHAAAHF4AAgkaCg0aH\n",
       "hACJioqLh4yDhoiFkACBACH5BAQKAP8ALEUBjAAHAAcAAAcXgACCRoKDRoeE\n",
       "AImKiouHjIOGiIWQAIEAIfkEBAoA/wAsSQGGAQcABwAABxeAAIJGgoNGh4QA\n",
       "iYqKi4eMg4aIhZAAgQAh+QQECgD/ACxOAa4ABwAHAAAHF4AAgkaCg0aHhACJ\n",
       "ioqLh4yDhoiFkACBACH5BAQKAP8ALFMBVAEHAAcAAAcXgACCRoKDRoeEAImK\n",
       "iouHjIOGiIWQAIEAIfkEBAoA/wAsVwGEAAcABwAABxeAAIJGgoNGh4QAiYqK\n",
       "i4eMg4aIhZAAgQAh+QQECgD/ACxcASYBBwAHAAAHF4AAgkaCg0aHhACJioqL\n",
       "h4yDhoiFkACBACH5BAQKAP8ALGAB8AAHAAcAAAcXgACCRoKDRoeEAImKiouH\n",
       "jIOGiIWQAIEAIfkEBAoA/wAsZQEQAQcABwAABxeAAIJGgoNGh4QAiYqKi4eM\n",
       "g4aIhZAAgQAh+QQECgD/ACxpAY4BBwAHAAAHF4AAgkaCg0aHhACJioqLh4yD\n",
       "hoiFkACBACH5BAQKAP8ALG4B6AAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOG\n",
       "iIWQAIEAIfkEBAoA/wAscgEAAQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aI\n",
       "hZAAgQAh+QQECgD/ACx3Ad4ABwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiF\n",
       "kACBACH5BAQKAP8ALHsBvwAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQ\n",
       "AIEAIfkEBAoA/wAsgAF0AAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAA\n",
       "gQAh+QQECgD/ACyEAYYABwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACB\n",
       "ACH5BAQKAP8ALIkBWAEHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEA\n",
       "IfkEBAoA/wAsjQFJAQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh\n",
       "+QQECgD/ACySAVABBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5\n",
       "BAQKAP8ALJcBOQEHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkE\n",
       "BAoA/wAsmwEzAQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQE\n",
       "CgD/ACygAXABBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQK\n",
       "AP8ALKQB5QAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA\n",
       "/wAsqQE3AAcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/\n",
       "ACytAZEBBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8A\n",
       "LLIBcAEHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAs\n",
       "tgFeAQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACy7\n",
       "AT0BBwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALL8B\n",
       "7AAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAsxAEV\n",
       "AQcABwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACzIAeYA\n",
       "BwAHAAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALM0BZgAH\n",
       "AAcAAAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAs0QHeAAcA\n",
       "BwAABxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACzWAUABBwAH\n",
       "AAAHF4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALNsBbgEHAAcA\n",
       "AAcXgACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAs3wHMAAcABwAA\n",
       "BxeAAIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACzkAdQABwAHAAAH\n",
       "F4AAgkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALOgBnAAHAAcAAAcX\n",
       "gACCRoKDRoeEAImKiouHjIOGiIWQAIEAIfkEBAoA/wAs7QGBAAcABwAABxeA\n",
       "AIJGgoNGh4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACzxAWwBBwAHAAAHF4AA\n",
       "gkaCg0aHhACJioqLh4yDhoiFkACBACH5BAQKAP8ALPcBbQEGAAcAAAcUgAAA\n",
       "RoKDRoeEhIKJhYiNho6LhYEAIfkEBAoA/wAs+gFjAQcABwAABxeAAIJGgoNG\n",
       "h4QAiYqKi4eMg4aIhZAAgQAh+QQECgD/ACz/AVEABwAHAAAHF4AAgkaCg0aH\n",
       "hACJioqLh4yDhoiFkACBACH5BAQKAP8ALAMCfgAHAAcAAAcXgACCRoKDRoeE\n",
       "AImKiouHjIOGiIWQAIEAIfkEBAoA/wAsCAIDAQcABwAABxeAAIJGgoNGh4QA\n",
       "iYqKi4eMg4aIhZAAgQAh+QQECgD/ACwMAlMBBwAHAAAHF4AAgkaCg0aHhACJ\n",
       "ioqLh4yDhoiFkACBACH5BAQKAP8ALBECDgEHAAcAAAcXgACCRoKDRoeEAImK\n",
       "iouHjIOGiIWQAIEAIfkEBAoA/wAsFQJ8AQcABwAABxeAAIJGgoNGh4QAiYqK\n",
       "i4eMg4aIhZAAgQAh+QQECgD/ACwaAh0BBwAHAAAHF4AAgkaCg0aHhACJioqL\n",
       "h4yDhoiFkACBACH5BAQKAP8ALB8CQgEHAAcAAAcXgACCRoKDRoeEAImKiouH\n",
       "jIOGiIWQAIEAIfkEBAoA/wAsIwKfAAcABwAABxeAAIJGgoNGh4QAiYqKi4eM\n",
       "g4aIhZAAgQAh+QQECgD/ACwoAucABwAHAAAHF4AAgkaCg0aHhACJioqLh4yD\n",
       "hoiFkACBACH5BAQKAP8ALCwC9AAHAAcAAAcXgACCRoKDRoeEAImKiouHjIOG\n",
       "iIWQAIEAOw==\n",
       "\">"
      ],
      "text/plain": [
       "#<GnuplotRB::Animation:0x000000043bfc50 @plots=Hamster::Vector[#<GnuplotRB::Plot:0x0000000423c798 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000423c720 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000423c248 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000042498d0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004249858 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004249380 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004255978 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004255900 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004255428 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000042608c8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004260850 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004260378 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000427a638 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000427a5c0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000427a0e8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000042970f8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004297080 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004296ba8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000042ae8c0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000042ae848 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000042ae370 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000042c4cb0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000042c4c38 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000042c4760 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000042e9c40 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000042e9bc8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000042e96f0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000043116c8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004311650 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004311178 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004343b78 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004343b00 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004343628 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004368a18 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000043689a0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000043684c8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000043981a0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004398128 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000043a7c18 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000043da168 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000043da0f0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000043d9c18 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004416938 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000044168c0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000044163e8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004455840 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000044557c8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000044552f0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000449edd8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000449ed60 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000449e888 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000044ea990 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000044ea918 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000044ea440 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004534ae0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004534a68 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004534590 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000458d050 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000458cfd8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000458cb00 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000045ff9c0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000045ff948 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000045ff470 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000046506e0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004650668 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004650190 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000046c3640 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000046c35c8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000046c30f0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000045fe980 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000045fe908 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000045fe430 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004460f60 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004460ee8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004460a10 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000043692d8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004369260 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004368d88 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004297530 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000042974b8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004296f68 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003e74b88 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003e74b10 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003e74638 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004169780 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004169708 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004169168 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000407a3b0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000407a338 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004079e38 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003fdcfc0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003fdcf48 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003fdca70 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003f19368 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003f192c8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003f18dc8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003e6c6e0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003e6c668 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003e6c190 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003d8fb00 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d8fa88 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003d8f588 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003cc1908 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003cc1890 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003cc13b8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000032735a0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000032734d8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000032728f8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000030a8a68 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000030a89f0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000030a8478 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002f373f0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000002f37378 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002f36ce8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002a46238 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000002a45fb8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002a44a00 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000289c090 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000289bfa0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000289b780 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002325300 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000023251e8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002324a18 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003d5bcb0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d5bc38 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003d5b760 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000043f20d8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000043f2060 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000043f1b88 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004565ac8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004565a50 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004565578 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000045bd110 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000045bcff8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000045bca58 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000449d488 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000449d410 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000449cf38 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004279c60 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004279be8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004279710 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000411c750 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000411c6d8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004117f48 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003fbd418 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003fbd350 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003fbca18 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003e6c348 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003e6c2d0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003e67d70 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003ce72c0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003ce71f8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003ce6b18 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003153be8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003153b20 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000031535f8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002e09c80 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000002e09c08 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002e09618 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000028d7960 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000028d78e8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000028d7370 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000221a820 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000221a7a8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000221a028 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000043bf458 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000043bf3e0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000043bef08 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004660e00 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004660d88 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000046608b0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000044f4468 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000044f43f0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000044ebed0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004225458 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000042253e0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004224ee0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000401edf8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000401ed80 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000401e858 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003e64e68 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003e64df0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003e64918 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000032ecab8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000032ec9c8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000032e7d60 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002fb6c40 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000002fb6bc8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002fb61c8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000028d6c40 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000028d6b78 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000028d6448 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000001fa7ac0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000001fa7368 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000001fa5130 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000045d7f10 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000045d7e98 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000045d79c0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004652c38 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004652bc0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000046526e8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004217768 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000042176f0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004217218 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003fba448 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003fba3d0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003fb9ef8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003d552c0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d55248 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003d54d48 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000309ff58 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000309fee0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000309f968 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002930560 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000029304e8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000292fbb0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000041aaaf0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000041aaa78 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000041aa5a0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000040f3030 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000040f2f90 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040f2950 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000431d4a0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000431d428 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000431cf50 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004028fd8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004028f60 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004028a38 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003d8a7b8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d8a740 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003d8a240 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003041430 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000030413b8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003040da0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000284a240 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000284a1a0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002849a98 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004558508 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004558490 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004573f88 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000044aaf48 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000044aaed0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000044aa9f8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000409fa98 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000409fa20 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000409f520 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003d9ca58 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d9c9e0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003d9c4b8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002fe85b0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000002fe8470 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000002fc7b58 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000002390dd0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000002390bf0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000023900b0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004175a30 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000041759b8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004175378 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000004256f80 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004256f08 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000004256a30 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003e9f388 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003e9f310 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003e9ee38 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000031446c0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000031445f8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000031337f8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000284b938 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000284b870 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000284b2a8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000046457e0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000004645768 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000046451a0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000423cba8 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000423cb30 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000423c5e0 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003e6f818 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003e6f7a0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003e6f2c8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000300fa20 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000300f9a8 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000300f3b8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000021a84f0 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000021a8400 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000021a3270 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003d5b008 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003d5af90 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003d5aab8 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n95 95 0.3352920407909651\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x0000000407a900 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x0000000407a888 @type=:datablock, @data=#<GnuplotRB::Datablock:0x0000000407a388 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n95 95 0.3352920407909651\\n96 96 0.23117438073670282\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x00000003007a28 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003007960 @type=:datablock, @data=#<GnuplotRB::Datablock:0x00000003007190 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n95 95 0.3352920407909651\\n96 96 0.23117438073670282\\n97 97 0.6962284226414635\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000028d4f30 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000028d4c88 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000028d4058 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n95 95 0.3352920407909651\\n96 96 0.23117438073670282\\n97 97 0.6962284226414635\\n98 98 0.4893256138781812\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">, #<GnuplotRB::Plot:0x000000040f3080 @options=Hamster::Hash[], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000040f2fe0 @type=:datablock, @data=#<GnuplotRB::Datablock:0x000000040f2900 @stored_in_file=false, @data=\"0 0 0.09507238721609235\\n1 1 0.8021284949851002\\n2 2 0.7667035132916125\\n3 3 0.4850262893158571\\n4 4 0.2539718598416435\\n5 5 0.8436649982506127\\n6 6 0.6058757772506509\\n7 7 0.6467934668181707\\n8 8 0.3291129506414191\\n9 9 0.28948887507236654\\n10 10 0.16834132530087953\\n11 11 0.830631247135278\\n12 12 0.13875742654749146\\n13 13 0.9846955952194104\\n14 14 0.9406329091755029\\n15 15 0.6801900755601676\\n16 16 0.7403435821576598\\n17 17 0.3749344463429458\\n18 18 0.8941271652372954\\n19 19 0.49552389885336134\\n20 20 0.9670632756789613\\n21 21 0.7683457294947156\\n22 22 0.3166876306254166\\n23 23 0.20700478789396926\\n24 24 0.2981230349662236\\n25 25 0.4426954394821754\\n26 26 0.6846590320030342\\n27 27 0.22272888069152796\\n28 28 0.686853911294696\\n29 29 0.3590568796292719\\n30 30 0.7532775210958812\\n31 31 0.17708636841036496\\n32 32 0.46838094063998437\\n33 33 0.49312351663853726\\n34 34 0.2879777559326402\\n35 35 0.8802654507507961\\n36 36 0.6998568541008953\\n37 37 0.444153523411572\\n38 38 0.41802763771522\\n39 39 0.7509461573119502\\n40 40 0.3633166422178359\\n41 41 0.7912276261244482\\n42 42 0.7712527097028963\\n43 43 0.4654595138584625\\n44 44 0.5315809851064842\\n45 45 0.42994540566677586\\n46 46 0.41115324730835734\\n47 47 0.8585591875663888\\n48 48 0.7506272794489095\\n49 49 0.0354474806524141\\n50 50 0.6518897994097912\\n51 51 0.1799658252323597\\n52 52 0.7723697547783597\\n53 53 0.309677257222184\\n54 54 0.4650368491354169\\n55 55 0.3744728667049765\\n56 56 0.012852134790708236\\n57 57 0.4879506581397153\\n58 58 0.41783477129605917\\n59 59 0.5170114513662624\\n60 60 0.6043903627132876\\n61 61 0.8189606854093124\\n62 62 0.7655571914759832\\n63 63 0.1676392494339164\\n64 64 0.21053368675298578\\n65 65 0.19013080606539956\\n66 66 0.25650877694503493\\n67 67 0.27266409078279086\\n68 68 0.09969951092619989\\n69 69 0.49657756308001244\\n70 70 0.9904505638758789\\n71 71 0.006439321915495011\\n72 72 0.09996581192213605\\n73 73 0.15105147132546626\\n74 74 0.24513593717031135\\n75 75 0.475824150222415\\n76 76 0.35833864567599005\\n77 77 0.49402040968135874\\n78 78 0.8588945208105327\\n79 79 0.514960752001192\\n80 80 0.23728134161591063\\n81 81 0.10605452826965456\\n82 82 0.5672696235029081\\n83 83 0.5449217269403778\\n84 84 0.7041700418247342\\n85 85 0.7811874634794227\\n86 86 0.11005126431136114\\n87 87 0.10896401220614205\\n88 88 0.13529325597042563\\n89 89 0.9172532415520761\\n90 90 0.7881688421557086\\n91 91 0.40921189696863014\\n92 92 0.18325101199335336\\n93 93 0.37864530942305685\\n94 94 0.06575528775369832\\n95 95 0.3352920407909651\\n96 96 0.23117438073670282\\n97 97 0.6962284226414635\\n98 98 0.4893256138781812\\n99 99 0.4542176622491768\\n\">, @options=Hamster::Hash[:pt => 6, :using => \"2:3\", :title => :\"Scatter example\", :ps => 1]>], @cmd=\"plot \">], @options=Hamster::Hash[:xrange => -10..110, :yrange => -0.1..1.1]>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frames = 100.times.map do |i|\n",
    "  Plot.new([df.row[0..i], using: '2:3', pt: 6, ps: 1])\n",
    "end\n",
    "\n",
    "Animation.new(*frames, xrange: -10..110, yrange: -0.1..1.1)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Ruby 2.1.2",
   "language": "ruby",
   "name": "ruby"
  },
  "language_info": {
   "file_extension": "rb",
   "mimetype": "application/x-ruby",
   "name": "ruby",
   "version": "2.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}