{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "18ebfee9",
   "metadata": {},
   "source": [
    "# JavaScript::D3 \n",
    "\n",
    "Anton Antonov   \n",
    "[JavaScript::D3 Raku package](https://github.com/antononcube/Raku-JavaScript-D3)   \n",
    "December 2022"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c5c9020",
   "metadata": {},
   "source": [
    "-----\n",
    "\n",
    "## Load packages"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72a38ef9",
   "metadata": {},
   "source": [
    "Here we load some packages that are used to generate, summarize, and modify datasets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "33790f34",
   "metadata": {},
   "outputs": [],
   "source": [
    "use Data::Generators;\n",
    "use Data::Reshapers;\n",
    "use Data::Summarizers;\n",
    "use Data::ExampleDatasets;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b45e79ad",
   "metadata": {},
   "source": [
    "This loads the [\"JavaScript::D3\"](https://github.com/antononcube/Raku-JavaScript-D3) package:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a3889136",
   "metadata": {},
   "outputs": [],
   "source": [
    "use JavaScript::D3;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e109649",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "## Setup\n",
    "\n",
    "Here we use a JavaScript cell that allows the visualization of with [D3.js](https://d3js.org) in Jupyter notebooks:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1a68ef26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "require.config({\n     paths: {\n     d3: 'https://d3js.org/d3.v7.min'\n}});\n\nrequire(['d3'], function(d3) {\n     console.log(d3);\n});"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%% javascript\n",
    "require.config({\n",
    "     paths: {\n",
    "     d3: 'https://d3js.org/d3.v7.min'\n",
    "}});\n",
    "\n",
    "require(['d3'], function(d3) {\n",
    "     console.log(d3);\n",
    "});"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ce6e9d3",
   "metadata": {},
   "source": [
    "The code above can be obtained with the package function `js-d3-config`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8858ce09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "require.config({\n",
       "     paths: {\n",
       "     d3: 'https://d3js.org/d3.v7.min'\n",
       "}});\n",
       "\n",
       "require(['d3'], function(d3) {\n",
       "     console.log(d3);\n",
       "});\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "js-d3-config()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5176af5d",
   "metadata": {},
   "source": [
    "Verify that a D3 plot is obtained via a JavaScript cell (taken from [SF1]):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "626c434f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {   \n        var data = [1, 2, 4, 8, 16, 8, 4, 2, 1]\n\n        var svg = d3.select(element.get(0)).append('svg')\n            .attr('width', 400)\n            .attr('height', 200);\n        svg.selectAll('circle')\n            .data(data)\n            .enter()\n            .append('circle')\n            .attr(\"cx\", function(d, i) {return 40 * (i + 1);})\n            .attr(\"cy\", function(d, i) {return 100 + 30 * (i % 3 - 1);})\n            .style(\"fill\", \"#1570a4\")\n            .transition().duration(2000)\n            .attr(\"r\", function(d) {return 2*d;})\n        ;\n}) })(element);"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%javascript\n",
    "(function(element) { require(['d3'], function(d3) {   \n",
    "        var data = [1, 2, 4, 8, 16, 8, 4, 2, 1]\n",
    "\n",
    "        var svg = d3.select(element.get(0)).append('svg')\n",
    "            .attr('width', 400)\n",
    "            .attr('height', 200);\n",
    "        svg.selectAll('circle')\n",
    "            .data(data)\n",
    "            .enter()\n",
    "            .append('circle')\n",
    "            .attr(\"cx\", function(d, i) {return 40 * (i + 1);})\n",
    "            .attr(\"cy\", function(d, i) {return 100 + 30 * (i % 3 - 1);})\n",
    "            .style(\"fill\", \"#1570a4\")\n",
    "            .transition().duration(2000)\n",
    "            .attr(\"r\", function(d) {return 2*d;})\n",
    "        ;\n",
    "}) })(element);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a26410f",
   "metadata": {},
   "source": [
    "-------\n",
    "\n",
    "## ListPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0207c479",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"top\":40,\"bottom\":40,\"left\":40,\"right\":40},\n    width = 600 - margin.left - margin.right,\n    height = 500 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"rgb(30,70,110)\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"Yellow points\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = 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xMin = Math.min.apply(Math, data.map(function(o) { return o.x; }))\nvar xMax = Math.max.apply(Math, data.map(function(o) { return o.x; }))\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// X scale and Axis\nvar x = d3.scaleLinear()\n    .domain([xMin, xMax])\n    .range([0, width]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\n// Add dots\nsvg\n  .selectAll(\"whatever\")\n  .data(data)\n  .enter()\n  .append(\"circle\")\n    .attr(\"cx\", function(d){ return x(d.x) })\n    .attr(\"cy\", function(d){ return y(d.y) })\n    .attr(\"r\", 3)\n    .attr(\"color\", \"blue\")\n    .attr(\"fill\", \"yellow\")\n\n}) })(element);\n\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%% > js\n",
    "say js-d3-list-plot(random-real(12,1000), height=>500, background=>'rgb(30,70,110)', color=>'yellow', title => \"Yellow points\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ca0beddf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1200 2)\n"
     ]
    },
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"top\":40,\"bottom\":40,\"right\":40,\"left\":40},\n    width = 600 - margin.left - margin.right,\n    height = 500 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"white\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = 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xMin = Math.min.apply(Math, data.map(function(o) { return o.x; }))\nvar xMax = Math.max.apply(Math, data.map(function(o) { return o.x; }))\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// X scale and Axis\nvar x = d3.scaleLinear()\n    .domain([xMin, xMax])\n    .range([0, width]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\n// Add dots\nsvg\n  .selectAll(\"whatever\")\n  .data(data)\n  .enter()\n  .append(\"circle\")\n    .attr(\"cx\", function(d){ return x(d.x) })\n    .attr(\"cy\", function(d){ return y(d.y) })\n    .attr(\"r\", 3)\n    .attr(\"color\", \"blue\")\n    .attr(\"fill\", \"orange\")\n\n}) })(element);\n"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%% js\n",
    "my @ds2 = random-tabular-dataset(1200, <x y>, \n",
    "    generators=> { \n",
    "        x => { random-variate(NormalDistribution.new(30,12), $_)}, \n",
    "        y => { random-variate(NormalDistribution.new(800,70), $_)}});\n",
    "say dimensions(@ds2);\n",
    "\n",
    "js-d3-list-plot(@ds2, height=>500, background=>'white', color=>'orange');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93b633c9",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "## ListLinePlot\n",
    "\n",
    "### Single-line "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ca38aeae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"left\":60,\"bottom\":40,\"top\":80,\"right\":40},\n    width = 600 - margin.left - margin.right,\n    height = 500 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"white\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"List line plot\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", 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xMin = Math.min.apply(Math, data.map(function(o) { return o.x; }))\nvar xMax = Math.max.apply(Math, data.map(function(o) { return o.x; }))\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// X scale and Axis\nvar x = d3.scaleLinear()\n    .domain([xMin, xMax])\n    .range([0, width]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\n// prepare a helper function\nvar lineFunc = d3.line()\n  .x(function(d) { return x(d.x) })\n  .y(function(d) { return y(d.y) })\n\n// Add the path using this helper function\nsvg.append('path')\n  .attr('d', lineFunc(data))\n  .attr(\"stroke-width\", 1.5)\n  .attr('stroke', \"lightblue\")\n  .attr('fill', 'none');\n\n}) })(element);\n"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%% js\n",
    "js-d3-list-line-plot(@ds2.sort({ $_<x> }), \n",
    "height=>500, \n",
    "background=>'white', color=>'lightblue', \n",
    "title => \"List line plot\",\n",
    "x-axis-label=>'X coordinates',\n",
    "y-axis-label=>'Y coordinates',\n",
    "margins => %(top=>80, left=>60)\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a7c1e41",
   "metadata": {},
   "source": [
    "### Multi-line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2a1168c3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(400 3)\n",
      "Vector(Struct([group, x, y], [Str, Num, Num]), 400)\n"
     ]
    }
   ],
   "source": [
    "my @dsXYG = random-tabular-dataset(400, <x y group>,\n",
    "        generators => { x => { random-real(100, $_) },\n",
    "                        y => { random-real(10, $_) },\n",
    "                        group => <a b c d> });\n",
    "                        \n",
    "@dsXYG = @dsXYG.map( -> $r { given $r<group> {\n",
    "    when 'a' { $r<y> = 1.2*$r<x> + $r<y> }\n",
    "    when 'b' { $r<y> = 5*sqrt($r<x>) + $r<y>}\n",
    "    when 'c' { $r<y> = $r<y> - $r<x>/3 + 50 }\n",
    "  };\n",
    "  $r\n",
    "});\n",
    "say dimensions(@dsXYG);\n",
    "say deduce-type(@dsXYG);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3d07ae72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"left\":40,\"right\":60,\"bottom\":40,\"top\":40},\n    width = 600 - margin.left - margin.right,\n    height = 400 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"white\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = 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xMin = Math.min.apply(Math, data.map(function(o) { return o.x; }))\nvar xMax = Math.max.apply(Math, data.map(function(o) { return o.x; }))\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// X scale and Axis\nvar x = d3.scaleLinear()\n    .domain([xMin, xMax])\n    .range([0, width]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\n// group the data: I want to draw one line per group\nvar sumstat = d3.group(data, d => d.group);\n\n// Add a scale for line color\nvar myColor = d3.scaleOrdinal()\n    .domain(data.map(function(o) { return o.group; }))\n    .range(d3.schemeSet2);\n\n// Draw the line\nsvg.selectAll(\".line\")\n      .data(sumstat)\n      .join(\"path\")\n        .attr(\"fill\", \"none\")\n        .attr(\"stroke\", function(d){ return myColor(d[0]) })\n        .attr(\"stroke-width\", 1.5)\n        .attr(\"d\", function(d){\n          return d3.line()\n            .x(function(d) { return x(d.x); })\n            .y(function(d) { return y(+d.y); })\n            (d[1])\n        })\n\n// create a list of keys\nvar keys = data.map(function(o) { return o.group; })\nkeys = [...new Set(keys)];\n\n// Add one dot in the legend for each name.\nsvg.selectAll(\"mydots\")\n  .data(keys)\n  .enter()\n  .append(\"circle\")\n    .attr(\"cx\", width + 3*12)\n    .attr(\"cy\", function(d,i){ return 0 + i*25}) // 100 is where the first dot appears. 25 is the distance between dots\n    .attr(\"r\", 6)\n    .style(\"fill\", function(d){ return myColor(d)})\n\n// Add one dot in the legend for each name.\nsvg.selectAll(\"mylabels\")\n  .data(keys)\n  .enter()\n  .append(\"text\")\n    .attr(\"x\", width + 3*12 + 12)\n    .attr(\"y\", function(d,i){ return 0 + i*25}) // 100 is where the first dot appears. 25 is the distance between dots\n    .style(\"fill\", function(d){ return myColor(d)})\n    .text(function(d){ return d})\n    .attr(\"text-anchor\", \"left\")\n    .style(\"alignment-baseline\", \"middle\")\n    .style(\"font-size\", \"12px\")\n    .attr(\"font-family\", \"Courier\")\n\n}) })(element);\n"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%js\n",
    "js-d3-list-line-plot(@dsXYG.sort({ $_<x> }))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a72ddc4b",
   "metadata": {},
   "source": [
    "-------\n",
    "\n",
    "##  Bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c666b27b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------+------------------------------+\n",
      "| Country      | Value                        |\n",
      "+--------------+------------------------------+\n",
      "| UA      => 3 | Min    => 12.526969888975048 |\n",
      "| BG      => 2 | 1st-Qu => 37.36829211544143  |\n",
      "| PL      => 2 | Mean   => 54.34345039167076  |\n",
      "| CH      => 1 | Median => 53.2452138507842   |\n",
      "| ES      => 1 | 3rd-Qu => 71.95311337298517  |\n",
      "| DK      => 1 | Max    => 90.21550174232574  |\n",
      "| FR      => 1 |                              |\n",
      "| (Other) => 1 |                              |\n",
      "+--------------+------------------------------+\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(12 2)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my @dsTest2 = random-tabular-dataset(12, <Country Value>, generators=>{Country => <USA UK UA RU CH BG FR GE ES PL DK SW>, Value => { random-real(100, $_) } }  );\n",
    "records-summary(@dsTest2);\n",
    "dimensions(@dsTest2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ca502d09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"right\":40,\"left\":40,\"top\":40,\"bottom\":40},\n    width = 600 - margin.left - margin.right,\n    height = 400 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"rgb(10, 10, 13)\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = [{\"value\":54.66287720805234e0,\"variable\":\"BG\"},{\"value\":29.19841985834193e0,\"variable\":\"UA\"},{\"value\":90.21550174232574e0,\"variable\":\"GE\"},{\"variable\":\"PL\",\"value\":51.14759761548261e0},{\"value\":12.526969888975048e0,\"variable\":\"FR\"},{\"value\":20.7149667678154e0,\"variable\":\"PL\"},{\"variable\":\"ES\",\"value\":45.538164372540926e0},{\"variable\":\"DK\",\"value\":86.37409787243087e0},{\"variable\":\"CH\",\"value\":51.82755049351604e0},{\"value\":66.00903213459792e0,\"variable\":\"UA\"},{\"variable\":\"UA\",\"value\":74.25690922057434e0},{\"variable\":\"BG\",\"value\":69.64931752539601e0}]\n\nvar valueMin = Math.min.apply(Math, data.map(function(o) { return o.value; }))\nvar valueMax = Math.max.apply(Math, data.map(function(o) { return o.value; }))\n\n// X axis\nvar x = d3.scaleBand()\n  .range([ 0, width ])\n  .domain(data.map(function(d) { return d.variable; }))\n  .padding(0.2);\nsvg.append(\"g\")\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n  .selectAll(\"text\")\n    .attr(\"transform\", \"translate(-10,0)rotate(-45)\")\n    .style(\"text-anchor\", \"end\");\n\n// Add Y axis\nvar y = d3.scaleLinear()\n  .domain([0, valueMax])\n  .range([ height, 0]);\nsvg.append(\"g\")\n  .call(d3.axisLeft(y));\n\n// Bars\nsvg.selectAll(\"mybar\")\n  .data(data)\n  .enter()\n  .append(\"rect\")\n    .attr(\"x\", function(d) { return x(d.variable); })\n    .attr(\"y\", function(d) { return y(d.value); })\n    .attr(\"width\", x.bandwidth())\n    .attr(\"height\", function(d) { return height - y(d.value); })\n    .attr(\"fill\", \"rgb(160,70,70)\")\n\n}) })(element);\n"
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%% js\n",
    "rename-columns(@dsTest2, {Country => 'variable', Value => 'value'}) ==> js-d3-bar-chart(background => 'rgb(10, 10, 13)', color => 'rgb(160,70,70)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1fa78187",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"right\":40,\"top\":40,\"left\":40,\"bottom\":40},\n    width = 1000 - margin.left - margin.right,\n    height = 400 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"white\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = [{\"value\":70.23271318604593e0,\"variable\":1},{\"variable\":2,\"value\":114.78697404896486e0},{\"value\":72.53571535731095e0,\"variable\":3},{\"value\":17.42369447450499e0,\"variable\":4},{\"value\":17.036629874694977e0,\"variable\":5},{\"variable\":6,\"value\":39.00756457535685e0},{\"value\":10.965505763476791e0,\"variable\":7},{\"variable\":8,\"value\":114.76805381120958e0},{\"value\":29.963270116464447e0,\"variable\":9},{\"variable\":10,\"value\":43.07048690900771e0},{\"variable\":11,\"value\":32.50370074339322e0},{\"variable\":12,\"value\":38.05894191490424e0},{\"value\":84.71428927303799e0,\"variable\":13},{\"variable\":14,\"value\":40.753824287893906e0},{\"value\":6.328764397846589e0,\"variable\":15},{\"value\":113.22182340680506e0,\"variable\":16},{\"value\":117.70209177656619e0,\"variable\":17},{\"value\":45.325305745563156e0,\"variable\":18},{\"variable\":19,\"value\":68.39738768756008e0},{\"value\":119.86903046066523e0,\"variable\":20},{\"variable\":21,\"value\":39.93101962630656e0},{\"value\":18.586566601137307e0,\"variable\":22},{\"value\":86.62224959229283e0,\"variable\":23},{\"value\":82.26145585714075e0,\"variable\":24},{\"value\":95.96873036240315e0,\"variable\":25},{\"value\":89.72397800989877e0,\"variable\":26},{\"variable\":27,\"value\":112.44820161186925e0},{\"value\":107.90283065511107e0,\"variable\":28},{\"variable\":29,\"value\":48.969146611379514e0},{\"value\":27.985220467497342e0,\"variable\":30},{\"value\":21.755493483104814e0,\"variable\":31},{\"value\":45.150971148839595e0,\"variable\":32},{\"value\":78.31570260187443e0,\"variable\":33},{\"value\":65.6539808531057e0,\"variable\":34},{\"value\":35.30217419205981e0,\"variable\":35},{\"value\":49.86302307261785e0,\"variable\":36},{\"variable\":37,\"value\":115.16619832439929e0},{\"value\":52.06998940565632e0,\"variable\":38},{\"variable\":39,\"value\":25.75799496994311e0},{\"variable\":40,\"value\":76.66487160851798e0},{\"variable\":41,\"value\":51.5878165872766e0},{\"value\":61.62677422402452e0,\"variable\":42},{\"value\":100.1148868512771e0,\"variable\":43},{\"value\":22.981916338371814e0,\"variable\":44},{\"value\":9.856345882482236e0,\"variable\":45}]\n\nvar valueMin = Math.min.apply(Math, data.map(function(o) { return o.value; }))\nvar valueMax = Math.max.apply(Math, data.map(function(o) { return o.value; }))\n\n// X axis\nvar x = d3.scaleBand()\n  .range([ 0, width ])\n  .domain(data.map(function(d) { return d.variable; }))\n  .padding(0.2);\nsvg.append(\"g\")\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n  .selectAll(\"text\")\n    .attr(\"transform\", \"translate(-10,0)rotate(-45)\")\n    .style(\"text-anchor\", \"end\");\n\n// Add Y axis\nvar y = d3.scaleLinear()\n  .domain([0, valueMax])\n  .range([ height, 0]);\nsvg.append(\"g\")\n  .call(d3.axisLeft(y));\n\n// Bars\nsvg.selectAll(\"mybar\")\n  .data(data)\n  .enter()\n  .append(\"rect\")\n    .attr(\"x\", function(d) { return x(d.variable); })\n    .attr(\"y\", function(d) { return y(d.value); })\n    .attr(\"width\", x.bandwidth())\n    .attr(\"height\", function(d) { return height - y(d.value); })\n    .attr(\"fill\", \"steelblue\")\n\n}) })(element);\n"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%% js\n",
    "js-d3-bar-chart(random-real(120,45), width=>1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21a5ea72",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1d3d21b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"right\":40,\"bottom\":40,\"top\":120,\"left\":40},\n    width = 600 - margin.left - margin.right,\n    height = 500 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"#484848\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"Normal distribution example\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"random value\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"counts\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = [123.92061540536776e0,117.32403994877023e0,119.03661765129188e0,128.6808922999396e0,119.37330460362105e0,114.38760236374144e0,119.7299797651351e0,130.7447358836591e0,132.56400699980045e0,114.64355523641042e0,118.11873394705671e0,108.50833855181912e0,126.27208916103325e0,110.03320659573123e0,130.50211503728713e0,120.58047283504976e0,126.37342992475146e0,124.76616705964331e0,134.79372617485484e0,104.11834452349294e0,114.07720237571301e0,118.85937789922805e0,115.24679582811231e0,115.92557126197312e0,126.13277157439788e0,135.17243512244843e0,110.40804982327457e0,133.26930386253036e0,121.51119451841804e0,129.3551104989773e0,120.56004297471117e0,106.79857287178648e0,109.85680392923926e0,117.81210593907433e0,130.61985459917244e0,122.3887428039394e0,137.23268156691736e0,113.1473077024216e0,105.79352357800475e0,127.22046658752622e0,106.37942264789795e0,107.8264357712257e0,109.40088894808898e0,117.64829171833013e0,120.76579631544294e0,108.69568240755108e0,115.42197407772234e0,130.9178066604025e0,111.30493602995526e0,114.4444174465586e0,132.69891982009636e0,122.87720444810402e0,130.4428093628874e0,105.67559495455859e0,112.04050291610653e0,129.20154698769431e0,144.58042522147474e0,120.00745549542061e0,126.64456410599286e0,113.07582949432302e0,126.47180288688149e0,137.61045836600766e0,117.02673439082797e0,136.98014472522595e0,134.27616114875553e0,129.04267088784195e0,117.04874550484132e0,119.88767287595506e0,109.0839770329331e0,118.81693761814446e0,124.63528196995757e0,114.87741681639338e0,118.29290728564597e0,124.53691764845487e0,106.94126680339906e0,132.03211033961603e0,108.8609508732439e0,120.1428390622943e0,117.42653875516734e0,126.84485686483805e0,113.66687460271211e0,135.8518691488579e0,119.91377945790292e0,118.27818062127915e0,121.7047428153862e0,126.5988489469836e0,118.09273990128237e0,116.63606599417362e0,98.84820139265987e0,124.75350409112446e0,127.35084923069846e0,106.40646068054625e0,127.20359154913331e0,106.47402353671409e0,116.35025575729738e0,134.12879040760188e0,110.22862153529681e0,138.208165345399e0,109.49964124212572e0,129.21152883661654e0,125.2262223533709e0,123.74174931831999e0,124.15375508349882e0,133.3851933600397e0,120.39494489273467e0,124.92643121354388e0,123.63155680851587e0,109.17853325770166e0,134.33158668972786e0,111.11730427282492e0,111.58995774676538e0,102.01903855888236e0,133.58491207802774e0,122.2441799606112e0,133.57563167942988e0,111.65289419565752e0,109.18421625196085e0,118.91519729446748e0,115.1616854252375e0,102.339799418434e0,116.76029143997361e0,92.02813031394092e0,110.9515649678779e0,120.61909721745815e0,121.581683270366e0,126.42546181635694e0,140.2825583301974e0,115.58149403293679e0,110.19499612618607e0,111.43946926587324e0,122.30290650816173e0,125.38172251462196e0,125.05798130048855e0,101.70675644984522e0,111.05660347411228e0,126.75595751725523e0,121.86396234494029e0,114.6901338982853e0,120.55390799336035e0,121.29677167483037e0,115.75825629725104e0,131.01644138359669e0,126.31406655404552e0,116.7248433208818e0,124.06484252981457e0,130.97285498970848e0,119.59294005125942e0,128.35178138163133e0,130.0283492911015e0,121.58576470308373e0,102.8470105222317e0,121.47127007454503e0,122.6457670882622e0,132.81663482605887e0,111.33751994504404e0,115.1581590313953e0,117.80326327119081e0,110.5085395457362e0,113.72037443232364e0,106.87489970190995e0,111.11319800686492e0,122.51887903675534e0,115.89373679125842e0,110.78220323606345e0,113.39886373754501e0,123.26011040949454e0,108.98467762691669e0,127.76071135734342e0,103.44819530289351e0,129.24674413378992e0,114.53419715478203e0,145.93514221203776e0,105.79623765576642e0,125.9623763391549e0,123.86320871637152e0,111.2309134880638e0,113.72611185166534e0,110.66143168213681e0,113.66548028483822e0,114.28842271674034e0,117.4393309137527e0,111.85953856784592e0,129.0504992923935e0,116.02865164929312e0,112.08713404364286e0,107.92465742249702e0,130.02567428792497e0,126.05630825454884e0,115.6152336117726e0,117.67816329774094e0,119.96521456720899e0,134.931224719252e0,118.16758881323227e0,125.67476482810308e0,129.7593366712584e0,120.81079276128337e0,126.69356469635026e0,126.83212652597443e0,118.87076200479757e0,133.93048111163245e0,136.7016521692875e0,124.82893534459355e0,111.02390655475291e0,127.94500275548957e0,109.91428620290075e0,130.07573359302842e0,119.69276082111827e0,115.31968618637609e0,99.66907064396734e0,133.1949382844349e0,125.24728707200191e0,111.25189645386148e0,124.79398436234504e0,114.21725034692363e0,137.21223333868943e0,118.26425629110432e0,113.51982113679138e0,118.1646301014095e0,117.26828446338979e0,131.32831727955747e0,102.58176872169368e0,124.98862879658702e0,115.0436532313007e0,112.45707759963118e0,119.54661194169051e0,131.14250322976613e0,134.6828445644144e0,129.8616740694857e0,105.12967263475922e0,123.14918547549905e0,124.3801707418237e0,120.62828266588215e0,119.69602744515095e0,127.217745628175e0,134.1320743698572e0,116.221235258515e0,117.86865157110722e0,120.28331119485478e0,123.17321115197221e0,138.39476679034664e0,119.47399339393353e0,122.92441723529015e0,117.31407618695005e0,111.44611982180683e0,117.3419254055929e0,106.94055796447228e0,124.95627701716045e0,105.08281494762143e0,141.76188913368807e0,118.55094051030731e0,107.05443301614886e0,122.3508533274592e0,101.3924106603531e0,110.73651168469944e0,115.39216364636994e0,133.929230614338e0,119.65315074590418e0,120.82002391431536e0,129.45152711105996e0,131.13667995925638e0,109.29028577654546e0,128.26814065686685e0,126.31326759615808e0,121.26106448352166e0,123.25788436202416e0,133.42429039324657e0,124.12405981958347e0,128.71655098486832e0,122.8378860248228e0,110.71675321590493e0,113.37424668023137e0,111.93128359323192e0,119.40365048621504e0,116.01285364326564e0,114.88292562046749e0,113.88673402256055e0,130.7908299524441e0,95.62496513816629e0,104.73248480407604e0,142.03030059306838e0,108.85213475819334e0,110.38138354806213e0,133.6080790493573e0,100.92695599256976e0,125.0992006774786e0,128.3244688443165e0,121.95713421006447e0,118.52757011056045e0,126.13917008872316e0,110.35324044511881e0,104.7276204492263e0,116.76022880112916e0,122.80578089942648e0,115.71049199274734e0,109.07812681620109e0,125.1185226181918e0,124.53293613568171e0,127.01849840046836e0,98.89006443147127e0,124.88233157197601e0,112.0637734687696e0,121.41501183904094e0,127.41844140251212e0,123.03179347704904e0,111.97329003978376e0,121.41658295673768e0,120.18477197574352e0,115.08485885511884e0,127.16583914159425e0,128.1135981352008e0,120.4298190951056e0,116.18259021385268e0,116.90868315134217e0,116.21443732539653e0,130.07192559443934e0,126.04945386919087e0,134.114644280046e0,138.1883210447832e0,147.38031311009482e0,138.4491169059064e0,115.67168843048896e0,135.56365829073994e0,114.26819603175883e0,98.73999810823912e0,125.18901085389022e0,98.0401723548333e0,125.56496611429384e0,105.90752761250278e0,129.2317857612943e0,139.64594280652153e0,124.04944074432896e0,126.66429621983386e0,106.81933444591994e0,119.61647412040946e0,135.53065557605876e0,125.32029011639936e0,106.57440637755212e0,125.82845770305612e0,139.0151934298314e0,121.6447819468205e0,124.41530505574735e0,121.61361075925946e0,125.0421846982986e0,139.30157401472485e0,135.33559908939063e0,131.1670034863222e0,120.91786684332236e0,131.9842428975593e0,110.36994108668479e0,130.04260245170323e0,133.72072743790437e0,124.56503206405472e0,116.56237562449137e0,131.46944441675817e0,113.17788460078032e0,113.95070040790942e0,116.46450725997686e0,117.84155300915579e0,116.54807605393184e0,101.65090042748513e0,126.47250552870973e0,116.35905985553431e0,119.9588314668411e0,111.11373480518569e0,117.93051951888465e0,110.52084328076235e0,123.39283434847624e0,121.43177407730586e0,112.45062058359868e0,120.50472742883464e0,124.84245011179603e0,119.94284733217592e0,124.41281523786165e0,109.28064834082777e0,126.67719776886499e0,127.38353397829232e0,130.97942007809976e0,123.00786596124745e0,108.07024277338301e0,132.55885762068127e0,126.78039437973912e0,104.62817618609829e0,123.94413023187143e0,130.51341125104352e0,112.11187597824602e0,118.13498734869206e0,117.40478972519978e0,118.06618332381521e0,114.43012744369813e0,119.7844196094713e0,128.42968348339227e0,113.2169314691703e0,112.45620601135198e0,116.61901366876035e0,112.19583119466621e0,125.11423522546362e0,127.84423996524751e0,129.37209045052762e0,117.90176834624246e0,139.2981681401345e0,126.11008705978264e0,122.00502223991973e0,126.5456046486971e0,113.60301378295057e0,118.45116033848264e0,119.09914453445741e0,112.60140189761304e0,126.60342815025646e0,95.57992857827453e0,112.96547855390278e0,122.28316110755566e0,103.25736232260874e0,118.39933657601955e0,123.2357897740608e0,128.90353172396945e0,98.44481347059326e0,126.29051818406691e0,123.77664801393452e0,127.42110303106512e0,118.02025398536465e0,122.04732882945271e0,111.32429966602693e0,133.41046517272014e0,132.6591846622917e0,117.41797527902281e0,120.6330803829291e0,114.81461822846768e0,110.82705930075382e0,125.36716217463866e0,113.53136005873489e0,114.8730104967428e0,105.91724771839108e0,118.5782433817226e0,106.03866562302524e0,109.37225740700441e0,129.12044624820945e0,114.56322038713162e0,115.98551297899407e0,105.81763247384174e0,113.96461654136422e0,112.96425516072503e0,122.10176186848888e0,115.98805727426944e0,123.4012933720165e0,142.39639132973605e0,130.6900068923997e0,127.12048381502308e0,124.9767851373063e0,118.40505857247199e0,125.44372114453921e0,98.57214242435816e0,122.09660142553714e0,121.81960203617076e0,114.69864956032023e0,132.58665946404042e0,125.68853564317104e0,108.24892639633966e0,97.39608007282528e0,118.61015356891939e0,131.01121354354117e0,133.01174516336482e0,113.31270039529235e0,123.77024316098813e0,125.97625497184907e0,124.60125041010603e0,137.5502114857201e0,125.62285458037825e0,119.34362981607812e0,122.83819516758187e0,134.4740579450958e0,131.04660477697766e0,101.63889178251401e0,114.39856104855089e0,111.49549769384643e0,114.75519342558557e0,106.7000969351359e0,119.90240853558697e0,128.0012404567968e0,98.96943442998096e0,122.13248353311627e0,117.64365747455953e0,120.27546905898522e0,136.93029968129386e0,97.37190096865865e0,108.82663541320396e0,123.71104361159462e0,127.41704896863426e0,117.10309416507681e0,132.26927686894882e0,125.60589473540136e0,119.29889184672817e0,117.44611294557403e0,127.31889173334574e0,136.41314717469012e0,119.67483586932933e0,133.5837277441159e0,114.46204255931274e0,119.8813270452297e0,117.67796966204152e0,105.15094444430419e0]\n\nvar valueMin = Math.min.apply(Math, data)\nvar valueMax = Math.max.apply(Math, data)\n\n// X axis: scale and draw:\nvar x = d3.scaleLinear()\n      .domain([valueMin, valueMax])\n      .range([0, width]);\nsvg.append(\"g\")\n      .attr(\"transform\", \"translate(0,\" + height + \")\")\n      .call(d3.axisBottom(x));\n\n// set the parameters for the histogram\nvar histogram = d3.histogram()\n      .value(function(d) { return d; })  // I need to give the vector of value\n      .domain(x.domain())  // then the domain of the graphic\n      .thresholds(x.ticks(70)); // then the numbers of bins\n\n// And apply this function to data to get the bins\nvar bins = histogram(data);\n\n// Y axis: scale and draw:\nvar y = d3.scaleLinear()\n      .range([height, 0]);\n      y.domain([0, d3.max(bins, function(d) { return d.length; })]);   // d3.hist has to be called before the Y axis obviously\nsvg.append(\"g\")\n      .call(d3.axisLeft(y));\n\n// append the bar rectangles to the svg element\nsvg.selectAll(\"rect\")\n      .data(bins)\n      .enter()\n      .append(\"rect\")\n        .attr(\"x\", 1)\n        .attr(\"transform\", function(d) { return \"translate(\" + x(d.x0) + \",\" + y(d.length) + \")\"; })\n        .attr(\"width\", function(d) { return x(d.x1) - x(d.x0) -1 ; })\n        .attr(\"height\", function(d) { return height - y(d.length); })\n        .style(\"fill\", \"steelblue\")\n\n}) })(element);\n\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%% > js\n",
    "say js-d3-histogram(\n",
    "    random-variate(NormalDistribution.new(120,10), 500), \n",
    "    height=>500, \n",
    "    background=>'#484848', \n",
    "    title=>'Normal distribution example',\n",
    "    x-axis-label=>'random value',\n",
    "    y-axis-label=>'counts', margins => {top=>120} );"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db37a5eb",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "## Bubble chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "071b2d02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Vector(Vector(Atom((Numeric)), 3), 100)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my $nPoints = 100;\n",
    "my @arr3d = transpose( (random-real(12, $nPoints), random-real(12, $nPoints), random-real(12, $nPoints)) );\n",
    "deduce-type(@arr3d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "742f8a30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"bottom\":40,\"left\":40,\"top\":40,\"right\":40},\n    width = 600 - margin.left - margin.right,\n    height = 400 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"rgb(50,56,65)\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = 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xMin = Math.min.apply(Math, data.map(function(o) { return o.x; }))\nvar xMax = Math.max.apply(Math, data.map(function(o) { return o.x; }))\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// X scale and Axis\nvar x = d3.scaleLinear()\n    .domain([xMin, xMax])\n    .range([0, width]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\nvar zMin = Math.min.apply(Math, data.map(function(o) { return o.z; }))\nvar zMax = Math.max.apply(Math, data.map(function(o) { return o.z; }))\n\n// Add a scale for bubble size\nconst z = d3.scaleLinear()\n    .domain([zMin, zMax])\n    .range([1, 40]);\n\n// Add dots\nsvg.append('g')\n    .selectAll(\"dot\")\n    .data(data)\n    .join(\"circle\")\n      .attr(\"cx\", d => x(d.x))\n      .attr(\"cy\", d => y(d.y))\n      .attr(\"r\",  d => z(d.z))\n      .style(\"fill\", \"rgb(255,180,0)\")\n      .style(\"opacity\", \"0.7\")\n      .attr(\"stroke\", \"black\")\n\n}) })(element);\n"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%js \n",
    "js-d3-bubble-chart(@arr3d, \n",
    "color=>'rgb(255,180,0)', \n",
    "background=>'rgb(50,56,65)', \n",
    "tooltip=>Whatever)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "048365d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------------------+------------------------------+-------------------------------+---------------+\n",
      "| x                             | y                            | z                             | group         |\n",
      "+-------------------------------+------------------------------+-------------------------------+---------------+\n",
      "| Min    => 0.28563882358593196 | Min    => 58.657594428180005 | Min    => 0.17337140098472048 | aspirin => 35 |\n",
      "| 1st-Qu => 6.17639542295039    | 1st-Qu => 164.17644575647307 | 1st-Qu => 11.932531777303495  | cookie  => 35 |\n",
      "| Mean   => 9.93982614234913    | Mean   => 198.87279903218416 | Mean   => 19.125657121928466  | biscuit => 30 |\n",
      "| Median => 9.577108853714691   | Median => 195.37934456337763 | Median => 17.854686316624154  |               |\n",
      "| 3rd-Qu => 14.653302817677424  | 3rd-Qu => 228.75774234863587 | 3rd-Qu => 25.419818857852356  |               |\n",
      "| Max    => 19.886081343128687  | Max    => 342.7947990427373  | Max    => 61.07119845114756   |               |\n",
      "+-------------------------------+------------------------------+-------------------------------+---------------+\n",
      "Vector(Struct([group, x, y, z], [Str, Num, Num, Num]), 100)\n"
     ]
    }
   ],
   "source": [
    "my @ds3DGroups = random-tabular-dataset(100, <x y z group>, \n",
    "generators => { x => { random-real(20, $_) }, \n",
    "                y => { random-variate(NormalDistribution.new(200,50), $_) },\n",
    "                z => { random-variate(NormalDistribution.new(20,12), $_) },\n",
    "                group => <aspirin biscuit cookie>\n",
    "              } );\n",
    "records-summary(@ds3DGroups, field-names=><x y z group>);\n",
    "say deduce-type(@ds3DGroups);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4085f6fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(element) { require(['d3'], function(d3) {\n\n// set the dimensions and margins of the graph\nvar margin = {\"right\":132,\"top\":60,\"left\":60,\"bottom\":40},\n    width = 600 - margin.left - margin.right,\n    height = 400 - margin.top - margin.bottom;\n\n// append the svg object to the body of the page\nvar svg = d3\n   .select(element.get(0))\n  .append(\"svg\")\n    .attr(\"width\", width + margin.left + margin.right)\n    .attr(\"height\", height + margin.top + margin.bottom)\n    .style(\"background\", \"\")\n  .append(\"g\")\n    .attr(\"transform\",\n          \"translate(\" + margin.left + \",\" + margin.top + \")\")\n\n// Obtain title\nvar title = \"Bubble chart over groups\"\n\nif ( title.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", 0 - (margin.top / 2))\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", \"16px\")\n        //.style(\"text-decoration\", \"underline\")\n        .text(title);\n}\n\n// Obtain x-axis label\nvar xAxisLabel = \"x coordinates\"\nvar xAxisLabelFontSize = 12\n\nif ( xAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"x\", (width / 2))\n        .attr(\"y\", height + margin.bottom - xAxisLabelFontSize/2)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", xAxisLabelFontSize.toString() + \"px\")\n        .text(xAxisLabel);\n}\n\n// Obtain y-axis label\nvar yAxisLabel = \"Normal distribution\"\nvar yAxisLabelFontSize = 12\n\nif ( yAxisLabel.length > 0 ) {\n    svg.append(\"text\")\n        .attr(\"transform\", \"rotate(-90)\")\n        .attr(\"x\", - (height / 2))\n        .attr(\"y\", 0 - margin.left + yAxisLabelFontSize)\n        .attr(\"text-anchor\", \"middle\")\n        .style(\"font-size\", yAxisLabelFontSize.toString() + \"px\")\n        .text(yAxisLabel);\n}\n\n// Obtain data\nvar data = [{\"z\":25.026735374540756e0,\"x\":7.724766700805034e0,\"y\":147.01519898469127e0,\"group\":\"biscuit\"},{\"z\":17.776104962227535e0,\"y\":194.695547199703e0,\"group\":\"biscuit\",\"x\":15.76418629130691e0},{\"z\":15.078310753676048e0,\"x\":19.591455469152258e0,\"group\":\"biscuit\",\"y\":211.59887999950115e0},{\"y\":67.33949645871229e0,\"z\":17.51375082373835e0,\"x\":19.13426660125853e0,\"group\":\"cookie\"},{\"y\":184.8312837221809e0,\"x\":1.4333013191970356e0,\"group\":\"biscuit\",\"z\":0.296727763478259e0},{\"y\":151.11605068395227e0,\"z\":25.812902341163955e0,\"x\":12.725929287528867e0,\"group\":\"aspirin\"},{\"z\":15.160075242884929e0,\"group\":\"aspirin\",\"y\":184.6715363181719e0,\"x\":15.578829498379488e0},{\"x\":13.973490842310412e0,\"group\":\"cookie\",\"y\":270.6311294071627e0,\"z\":8.090348063605173e0},{\"group\":\"aspirin\",\"z\":2.0179658395999063e0,\"x\":10.172136783534132e0,\"y\":191.6777276506242e0},{\"x\":19.886081343128687e0,\"group\":\"cookie\",\"z\":33.254663123766974e0,\"y\":186.62740578375815e0},{\"y\":180.15516893906033e0,\"z\":10.659932918805062e0,\"x\":0.3883833884645216e0,\"group\":\"cookie\"},{\"y\":229.7644875156355e0,\"x\":12.532114966836822e0,\"group\":\"cookie\",\"z\":22.731241782371548e0},{\"y\":188.59426265118094e0,\"z\":14.343853872632952e0,\"group\":\"biscuit\",\"x\":7.913197862655117e0},{\"x\":9.132324201045146e0,\"z\":17.78450076939844e0,\"y\":189.04766427393298e0,\"group\":\"biscuit\"},{\"group\":\"aspirin\",\"x\":13.48322658664353e0,\"y\":86.90308980560768e0,\"z\":19.138169858175388e0},{\"group\":\"biscuit\",\"z\":0.17337140098472048e0,\"x\":16.849920009028448e0,\"y\":158.23575135618702e0},{\"x\":19.31359254458691e0,\"z\":19.647371802368628e0,\"group\":\"aspirin\",\"y\":188.54849270989035e0},{\"x\":0.7145054206628965e0,\"group\":\"cookie\",\"z\":11.356184913866851e0,\"y\":240.21841916586152e0},{\"group\":\"biscuit\",\"z\":13.52281438149466e0,\"x\":11.344480882331592e0,\"y\":196.06314192705224e0},{\"z\":17.87488688796043e0,\"x\":15.670437128788901e0,\"group\":\"cookie\",\"y\":241.69271396259433e0},{\"y\":203.33805050685822e0,\"group\":\"cookie\",\"z\":38.85397111309208e0,\"x\":3.6195461684918007e0},{\"x\":15.572896176940576e0,\"y\":205.24134536605314e0,\"group\":\"biscuit\",\"z\":15.423511295359948e0},{\"y\":239.2011079019951e0,\"z\":14.851457498812078e0,\"x\":10.26814979431515e0,\"group\":\"aspirin\"},{\"x\":3.0506804887884975e0,\"group\":\"biscuit\",\"y\":164.03353351870825e0,\"z\":24.193205952265927e0},{\"z\":12.152935388201126e0,\"x\":3.4295532888112445e0,\"y\":221.369810607018e0,\"group\":\"biscuit\"},{\"z\":15.438371977700996e0,\"y\":311.7569604953944e0,\"group\":\"cookie\",\"x\":9.950544072604243e0},{\"z\":20.303082569297455e0,\"group\":\"aspirin\",\"x\":7.212536236905844e0,\"y\":259.40230448001455e0},{\"y\":285.1734027008143e0,\"group\":\"biscuit\",\"x\":4.035620332733609e0,\"z\":34.28679084145632e0},{\"z\":11.326271870615965e0,\"group\":\"cookie\",\"y\":233.57643087780278e0,\"x\":16.88093266863326e0},{\"group\":\"cookie\",\"x\":5.476871190443857e0,\"z\":6.321725673051592e0,\"y\":193.3550619051143e0},{\"group\":\"biscuit\",\"x\":11.868578096381196e0,\"y\":242.14998869754385e0,\"z\":18.656538033936165e0},{\"z\":17.83448574528788e0,\"y\":232.1253922812067e0,\"x\":6.844506484353237e0,\"group\":\"cookie\"},{\"x\":17.16894413021191e0,\"y\":158.92737747542515e0,\"z\":14.459471721109221e0,\"group\":\"aspirin\"},{\"z\":26.927007969173317e0,\"x\":8.625321518780131e0,\"y\":121.20279206135794e0,\"group\":\"cookie\"},{\"z\":29.3730343083085e0,\"y\":183.4069118566773e0,\"group\":\"aspirin\",\"x\":11.270820872910774e0},{\"y\":156.45732423101867e0,\"z\":19.48048488643021e0,\"x\":10.054621526377176e0,\"group\":\"cookie\"},{\"x\":10.554009008505323e0,\"group\":\"cookie\",\"y\":238.174530957128e0,\"z\":32.67963955814071e0},{\"y\":271.5482616372494e0,\"z\":16.217462151189512e0,\"group\":\"cookie\",\"x\":12.198353412224726e0},{\"y\":150.922496468914e0,\"z\":15.277998367006518e0,\"group\":\"biscuit\",\"x\":7.082899979043438e0},{\"x\":12.210376219202509e0,\"z\":17.460970235524147e0,\"y\":236.6381715038246e0,\"group\":\"aspirin\"},{\"group\":\"cookie\",\"y\":160.0970137155083e0,\"z\":21.354393053346534e0,\"x\":18.976520982198764e0},{\"group\":\"biscuit\",\"y\":169.52746886704753e0,\"z\":21.744305839930032e0,\"x\":18.566840577810794e0},{\"y\":274.8539061207438e0,\"x\":18.96453679494889e0,\"z\":20.03875080763705e0,\"group\":\"aspirin\"},{\"y\":227.75099718163622e0,\"z\":4.6408225066406885e0,\"group\":\"aspirin\",\"x\":1.2644623699904134e0},{\"z\":26.208372055450983e0,\"y\":242.3899121763472e0,\"x\":0.28563882358593196e0,\"group\":\"cookie\"},{\"group\":\"cookie\",\"z\":7.1414166308845815e0,\"x\":8.601923498958548e0,\"y\":342.7947990427373e0},{\"x\":1.5888472675237786e0,\"z\":17.492206541060156e0,\"group\":\"cookie\",\"y\":220.3035778134183e0},{\"x\":6.359659243586579e0,\"group\":\"aspirin\",\"y\":296.58137127679714e0,\"z\":19.966397135769775e0},{\"z\":37.28948879393192e0,\"group\":\"a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,\"x\":6.1654220771632655e0},{\"group\":\"cookie\",\"x\":17.724847203340847e0,\"z\":12.250911820816127e0,\"y\":208.94025201013037e0},{\"x\":14.998693494349748e0,\"z\":3.3205333393997414e0,\"y\":150.7403116944195e0,\"group\":\"biscuit\"},{\"x\":7.414199282096927e0,\"z\":19.215839689279612e0,\"group\":\"aspirin\",\"y\":227.64944674624212e0}]\n\nvar xMin = Math.min.apply(Math, data.map(function(o) { return o.x; }))\nvar xMax = Math.max.apply(Math, data.map(function(o) { return o.x; }))\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// X scale and Axis\nvar x = d3.scaleLinear()\n    .domain([xMin, xMax])\n    .range([0, width]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\nvar zMin = Math.min.apply(Math, data.map(function(o) { return o.z; }))\nvar zMax = Math.max.apply(Math, data.map(function(o) { return o.z; }))\n\n// Add a scale for bubble size\nconst z = d3.scaleLinear()\n    .domain([zMin, zMax])\n    .range([1, 40]);\n\n// Add a scale for bubble color\nvar myColor = d3.scaleOrdinal()\n    .domain(data.map(function(o) { return o.group; }))\n    .range(d3.schemeSet2);\n\n// -1- Create a tooltip div that is hidden by default:\nconst tooltip = d3.select(element.get(0))\n    .append(\"div\")\n      .style(\"opacity\", 0)\n      .attr(\"class\", \"tooltip\")\n      .style(\"background-color\", \"black\")\n      .style(\"border-radius\", \"5px\")\n      .style(\"padding\", \"10px\")\n      .style(\"color\", \"white\")\n\n// -2- Create 3 functions to show / update (when mouse move but stay on same circle) / hide the tooltip\nconst showTooltip = function(event, d) {\n    tooltip\n      .transition()\n      .duration(200)\n    tooltip\n      .style(\"opacity\", 1)\n      .html(\"Group: \" + d.group + '<br/>z: ' + d.z.toString() + '<br/>x: ' + d.x.toString() + '<br/>y: ' + d.y.toString())\n      .style(\"left\", (event.x)/2 + \"px\")\n      .style(\"top\", (event.y)/2+10 + \"px\")\n  }\n  const moveTooltip = function(event, d) {\n    tooltip\n      .style(\"left\", (event.x)/2 + \"px\")\n      .style(\"top\", (event.y)/2+10 + \"px\")\n  }\n  const hideTooltip = function(event, d) {\n    tooltip\n      .transition()\n      .duration(200)\n      .style(\"opacity\", 0)\n  }\n\n// Add dots\n  svg.append('g')\n    .selectAll(\"dot\")\n    .data(data)\n    .join(\"circle\")\n      .attr(\"class\", \"bubbles\")\n      .attr(\"cx\", d => x(d.x))\n      .attr(\"cy\", d => y(d.y))\n      .attr(\"r\",  d => z(d.z))\n      .style(\"fill\", d => myColor(d.group))\n      .style(\"opacity\", \"0.5\")\n    // -3- Trigger the functions\n    .on(\"mouseover\", showTooltip )\n    .on(\"mousemove\", moveTooltip )\n    .on(\"mouseleave\", hideTooltip )\n\n// create a list of keys\nvar keys = data.map(function(o) { return o.group; })\nkeys = [...new Set(keys)];\n\n// Add one dot in the legend for each name.\nsvg.selectAll(\"mydots\")\n  .data(keys)\n  .enter()\n  .append(\"circle\")\n    .attr(\"cx\", width + 3*12)\n    .attr(\"cy\", function(d,i){ return 0 + i*25}) // 100 is where the first dot appears. 25 is the distance between dots\n    .attr(\"r\", 6)\n    .style(\"fill\", function(d){ return myColor(d)})\n\n// Add one dot in the legend for each name.\nsvg.selectAll(\"mylabels\")\n  .data(keys)\n  .enter()\n  .append(\"text\")\n    .attr(\"x\", width + 3*12 + 12)\n    .attr(\"y\", function(d,i){ return 0 + i*25}) // 100 is where the first dot appears. 25 is the distance between dots\n    .style(\"fill\", function(d){ return myColor(d)})\n    .text(function(d){ return d})\n    .attr(\"text-anchor\", \"left\")\n    .style(\"alignment-baseline\", \"middle\")\n    .style(\"font-size\", \"12px\")\n    .attr(\"font-family\", \"Courier\")\n\n}) })(element);\n"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%js\n",
    "js-d3-bubble-chart(@ds3DGroups, \n",
    "x-axis-label=>'x coordinates',\n",
    "y-axis-label=>'Normal distribution', \n",
    "plot-label=>'Bubble chart over groups',\n",
    "background=>'', \n",
    "margins => %(left=>60, top=>60),\n",
    "opacity=>0.5):tooltip:legends"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fd04cf5",
   "metadata": {},
   "source": [
    "------\n",
    "\n",
    "## DateListPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7e92cca5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------------------------+--------------------+----------+\n",
      "| value                          | date               | group    |\n",
      "+--------------------------------+--------------------+----------+\n",
      "| Min    => -33.09507540227694   | 2002-07-13 => 1    | a => 604 |\n",
      "| 1st-Qu => -14.866937369813902  | 2003-09-18 => 1    | b => 596 |\n",
      "| Mean   => 0.018421512842551307 | 2000-10-05 => 1    |          |\n",
      "| Median => -0.48072814381940876 | 2002-03-23 => 1    |          |\n",
      "| 3rd-Qu => 14.734912882328251   | 2001-02-24 => 1    |          |\n",
      "| Max    => 33.96569042426868    | 2002-07-24 => 1    |          |\n",
      "|                                | 2000-03-09 => 1    |          |\n",
      "|                                | (Other)    => 1193 |          |\n",
      "+--------------------------------+--------------------+----------+\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1200 3)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my $k=0;\n",
    "my @dsXY = (^1200)>>.rand>>.sqrt.map({ %(x=>$k++, y=>$_) });\n",
    "#records-summary(@dsXY);\n",
    "\n",
    "my $refDate = DateTime.new('2000-01-01');\n",
    "my @dsTS = @dsXY.map({ %( date => ($refDate + $_<x> * 10e4).DateTime, value => $_<y> ) });\n",
    "#records-summary(@dsTS);\n",
    "#say dimensions(@dsTS);\n",
    "\n",
    "my @dsTS2 = @dsTS.map({ %( date => $_<date>.Str.substr(0,10), value => $_<value>, group => <a b>.pick ) }).map({ if $_<group> eq 'a' { $_<value> *= -1 }; $_ });\n",
    "records-summary(@dsTS2);\n",
    "dimensions(@dsTS2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9e4bdd4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",\"value\":-30.94998874920644e0,\"group\":\"a\"},{\"group\":\"a\",\"value\":-31.82618244913974e0,\"date\":\"2003-09-10\"},{\"value\":31.265659414938995e0,\"group\":\"b\",\"date\":\"2003-09-11\"},{\"value\":14.834553795992898e0,\"group\":\"b\",\"date\":\"2003-09-12\"},{\"value\":13.596154032756463e0,\"group\":\"b\",\"date\":\"2003-09-13\"},{\"value\":17.008701552025528e0,\"group\":\"b\",\"date\":\"2003-09-15\"},{\"group\":\"a\",\"date\":\"2003-09-16\",\"value\":-22.58130576758416e0},{\"date\":\"2003-09-17\",\"group\":\"a\",\"value\":-25.39225840581008e0},{\"value\":33.33066889558625e0,\"group\":\"b\",\"date\":\"2003-09-18\"},{\"value\":18.343763565356287e0,\"group\":\"b\",\"date\":\"2003-09-19\"},{\"group\":\"b\",\"date\":\"2003-09-20\",\"value\":33.91066383138376e0},{\"group\":\"a\",\"date\":\"2003-09-21\",\"value\":-30.800817910811066e0},{\"value\":-17.81337285536411e0,\"date\":\"2003-09-23\",\"group\":\"a\"},{\"group\":\"a\",\"value\":-6.604797010542947e0,\"date\":\"2003-09-24\"},{\"value\":24.785853915086964e0,\"group\":\"b\",\"date\":\"2003-09-25\"},{\"date\":\"2003-09-26\",\"group\":\"b\",\"value\":7.2685844198216625e0},{\"group\":\"a\",\"value\":-33.09507540227694e0,\"date\":\"2003-09-27\"},{\"value\":-12.529450359436936e0,\"date\":\"2003-09-28\",\"group\":\"a\"},{\"date\":\"2003-09-30\",\"group\":\"b\",\"value\":30.409500080754036e0},{\"date\":\"2003-10-01\",\"group\":\"b\",\"value\":13.091110797881546e0},{\"value\":21.960391141691897e0,\"group\":\"b\",\"date\":\"2003-10-02\"},{\"date\":\"2003-10-03\",\"value\":-22.86448145522348e0,\"group\":\"a\"},{\"value\":-17.098343167528554e0,\"group\":\"a\",\"date\":\"2003-10-04\"},{\"date\":\"2003-10-05\",\"value\":23.590673373010617e0,\"group\":\"b\"},{\"date\":\"2003-10-07\",\"group\":\"a\",\"value\":-28.427468159196927e0},{\"group\":\"a\",\"value\":-32.3549737993793e0,\"date\":\"2003-10-08\"},{\"group\":\"b\",\"value\":33.96569042426868e0,\"date\":\"2003-10-09\"},{\"group\":\"b\",\"value\":28.73113095692043e0,\"date\":\"2003-10-10\"},{\"group\":\"a\",\"date\":\"2003-10-11\",\"value\":-8.772578985031199e0},{\"date\":\"2003-10-12\",\"group\":\"a\",\"value\":-24.220720807597832e0},{\"group\":\"a\",\"value\":-25.468985348736116e0,\"date\":\"2003-10-13\"},{\"group\":\"a\",\"value\":-9.931149798162734e0,\"date\":\"2003-10-15\"},{\"value\":-27.95387677384186e0,\"group\":\"a\",\"date\":\"2003-10-16\"},{\"group\":\"a\",\"value\":-30.937559283361537e0,\"date\":\"2003-10-17\"},{\"value\":-30.91260710090375e0,\"group\":\"a\",\"date\":\"2003-10-18\"},{\"group\":\"a\",\"value\":-25.63305883625076e0,\"date\":\"2003-10-19\"}]\n\ndata = data.map(function(d){\n  var d2 = d;\n  d2[\"x\"] = d3.timeParse(\"%Y-%m-%d\")(d.date);\n  if ( \"value\" in d ) { d2[\"y\"] = d.value; }\n  return d2\n})\n\nvar yMin = Math.min.apply(Math, data.map(function(o) { return o.y; }))\nvar yMax = Math.max.apply(Math, data.map(function(o) { return o.y; }))\n\n// Add X axis --> it is a date format\nvar x = d3.scaleTime()\n      .domain(d3.extent(data, function(d) { return d.x; }))\n      .range([ 0, width ]);\n\n// Y scale and Axis\nvar y = d3.scaleLinear()\n    .domain([yMin, yMax])\n    .range([height, 0]);\n\nsvg\n  .append('g')\n  .attr(\"transform\", \"translate(0,\" + height + \")\")\n  .call(d3.axisBottom(x))\n\nsvg\n  .append('g')\n  .call(d3.axisLeft(y));\n\n// group the data: I want to draw one line per group\nvar sumstat = d3.group(data, d => d.group);\n\n// Add a scale for line color\nvar myColor = d3.scaleOrdinal()\n    .domain(data.map(function(o) { return o.group; }))\n    .range(d3.schemeSet2);\n\n// Draw the line\nsvg.selectAll(\".line\")\n      .data(sumstat)\n      .join(\"path\")\n        .attr(\"fill\", \"none\")\n        .attr(\"stroke\", function(d){ return myColor(d[0]) })\n        .attr(\"stroke-width\", 1.5)\n        .attr(\"d\", function(d){\n          return d3.line()\n            .x(function(d) { return x(d.x); })\n            .y(function(d) { return y(+d.y); })\n            (d[1])\n        })\n\n// create a list of keys\nvar keys = data.map(function(o) { return o.group; })\nkeys = [...new Set(keys)];\n\n// Add one dot in the legend for each name.\nsvg.selectAll(\"mydots\")\n  .data(keys)\n  .enter()\n  .append(\"circle\")\n    .attr(\"cx\", width + 3*12)\n    .attr(\"cy\", function(d,i){ return 0 + i*25}) // 100 is where the first dot appears. 25 is the distance between dots\n    .attr(\"r\", 6)\n    .style(\"fill\", function(d){ return myColor(d)})\n\n// Add one dot in the legend for each name.\nsvg.selectAll(\"mylabels\")\n  .data(keys)\n  .enter()\n  .append(\"text\")\n    .attr(\"x\", width + 3*12 + 12)\n    .attr(\"y\", function(d,i){ return 0 + i*25}) // 100 is where the first dot appears. 25 is the distance between dots\n    .style(\"fill\", function(d){ return myColor(d)})\n    .text(function(d){ return d})\n    .attr(\"text-anchor\", \"left\")\n    .style(\"alignment-baseline\", \"middle\")\n    .style(\"font-size\", \"12px\")\n    .attr(\"font-family\", \"Courier\")\n\n}) })(element);\n"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%% js\n",
    "js-d3-date-list-plot(@dsTS2, width=>1000);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9fb6778",
   "metadata": {},
   "source": [
    "-------\n",
    "\n",
    "## References"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31831b59",
   "metadata": {},
   "source": [
    "### Articles\n",
    "\n",
    "[OV1] Olivia Vane, \n",
    "[\"D3 JavaScript visualisation in a Python Jupyter notebook\"](https://livingwithmachines.ac.uk/d3-javascript-visualisation-in-a-python-jupyter-notebook), \n",
    "(2020), \n",
    "[livingwithmachines.ac.uk](https://livingwithmachines.ac.uk).\n",
    "\n",
    "[SF1] Stefaan Lippens, \n",
    "[Custom D3.js Visualization in a Jupyter Notebook](https://www.stefaanlippens.net/jupyter-custom-d3-visualization.html), \n",
    "(2018), \n",
    "[stefaanlippens.net](https://www.stefaanlippens.net).\n",
    "\n",
    "### Packages\n",
    "\n",
    "[AAp1] Anton Antonov,\n",
    "[Data::Reshapers Raku package](https://raku.land/zef:antononcube/Data::Reshapers),\n",
    "(2021-2022),\n",
    "[GitHub/antononcube](https://github.com/antononcube/Raku-Data-Reshapers).\n",
    "\n",
    "[AAp2] Anton Antonov,\n",
    "[Text::Plot Raku package](https://raku.land/zef:antononcube/Text::Plot),\n",
    "(2022),\n",
    "[GitHub/antononcube](https://github.com/antononcube/Raku-Text-Plot).\n",
    "\n",
    "[BD1] Brian Duggan,\n",
    "[Jupyter::Kernel Raku package](https://raku.land/cpan:BDUGGAN/Jupyter::Kernel),\n",
    "(2017-2022),\n",
    "[GitHub/bduggan](https://github.com/bduggan/raku-jupyter-kernel).\n",
    "\n",
    "[MLp1] Moritz Lenz,\n",
    "[SVG::Plot Raku package](https://github.com/moritz/svg-plot)\n",
    "(2009-2018),\n",
    "[GitHub/moritz](https://github.com/moritz/svg-plot)."
   ]
  }
 ],
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