[ { "path": ".gitignore", "content": "dist/\nnode_modules\njest.config.js\nexamples/\n.cache\n.eslintrc\n.vscode/\npackage-lock.json" }, { "path": "LICENSE", "content": "Copyright (c) 2020 Jared Wilber\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n" }, { "path": "README.md", "content": "\"roughViz.js\"
\n\n**roughViz.js** is a reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser, based on D3v5, roughjs, and handy.\n\n\n\"roughViz.js\"\n\n\n### Why?\nUse these charts where the communication goal is to show intent or generality, and not absolute precision. Or just because they're fun and look weird.\n\n\n### Chart Types\n\n| Chart Type | API |\n| -------------- | ----------------------------------------------------- |\n| Bar | roughViz.Bar |\n| Horizontal Bar | roughViz.BarH |\n| Donut | roughViz.Donut |\n| Line | roughViz.Line |\n| Pie | roughViz.Pie |\n| Scatter | roughViz.Scatter |\n| Stacked Bar | roughViz.StackedBar |\n\nVisit [this link](https://observablehq.com/d/6d3209e2f7f114de) for interactive examples of each chart.\n\n### Features\n\nApply the features of `roughjs` to each chart:\n\n**roughness**:\n\n\"roughness\n\nfillStyle\n\"fillStyle\n\n\n**fillWeight**\n\"fillStyle\n\n\nAs well as additional chart-specific options ([see API below](#API))\n\n\n### Installation\n\nVia CDN (expose the `roughViz` global in `html`):\n\n```html\n\n```\n\nVia `npm`:\n\n```sh\nnpm install rough-viz\n```\nWant to use with `React`? [There's a wrapper!](https://github.com/Chris927/react-roughviz):\n\n```sh\nnpm install react-roughviz\n```\n\nWant to use with `Vue`? [There's a wrapper!](https://github.com/jolo-dev/vue-roughviz):\n\n```sh\nnpm install vue-roughviz\n```\n\nWant to use it with `Python`? [Go crazy](https://github.com/charlesdong1991/py-roughviz):\n\n```sh\npip install py-roughviz\n```\n\n\n### How to use\n\nIf you're using ESM, make sure to import the library:\n\n```\nimport roughViz from \"rough-viz\";\n```\n\nCreate some container elements, one for each chart:\n\n```html\n\n
\n
\n```\nIn the javascript, just create charts, referencing the desired container:\n```js\n// create Bar chart from csv file, using default options\n new roughViz.Bar({\n element: '#viz0', // container selection\n data: 'https://raw.githubusercontent.com/jwilber/random_data/master/flavors.csv',\n labels: 'flavor',\n values: 'price'\n});\n\n// create Donut chart using defined data & customize plot options\nnew roughViz.Donut(\n {\n element: '#viz1',\n data: {\n labels: ['North', 'South', 'East', 'West'],\n values: [10, 5, 8, 3]\n },\n title: \"Regions\",\n width: window.innerWidth / 4,\n roughness: 8,\n colors: ['red', 'orange', 'blue', 'skyblue'],\n stroke: 'black',\n strokeWidth: 3,\n fillStyle: 'cross-hatch',\n fillWeight: 3.5,\n }\n);\n```\n\n

API

\n\n### `roughViz.Bar`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Data with which to construct chart.\nCan be either an object or string.\n\n - If object: must contain `labels` and `values` keys:\n\n ```js\n new roughViz.Bar({\n element: '.viz',\n data: {labels: ['a', 'b'], values: [10, 20]}\n })\n ```\n\n - If string: must be a path/url to a `csv` or `tsv`, and you must also specify the `labels` and `values` as separate attributes that represent columns in said file:\n ```js\n new roughViz.Bar({\n element: '#viz0',\n data: 'stringToDataUrl.csv',\n labels: 'nameOfLabelsColumn',\n values: 'nameOfValuesColumn',\n })\n ```\n\nOptional\n- `axisFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `axisRoughness` [number]: Roughness for x & y axes. Default: `0.5`.\n- `axisStrokeWidth` [number]: Stroke-width for x & y axes. Default: `0.5`.\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `color` [string]: Color for each bar. Default: `'skyblue'`.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.5`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `highlight` [string]: Color for each bar on hover. Default: `'coral'`.\n- `innerStrokeWidth` [number]: Stroke-width for paths inside bars. Default: `1`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `labelFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `padding` [number]: Padding between bars. Default: `0.1`.\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `stroke` [string]: Color of bars' stroke. Default: `black`.\n- `strokeWidth` [number]: Size of bars' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'1rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n- `xLabel` [string]: Label for x-axis.\n- `yLabel` [string]: Label for y-axis.\n\n\n### `roughViz.BarH`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Data with which to construct chart.\nCan be either an object or string.\n\n - If object: must contain `labels` and `values` keys:\n\n ```js\n new roughViz.BarH({\n element: '.viz',\n data: {labels: ['a', 'b'], values: [10, 20]}\n })\n ```\n\n - If string: must be a path/url to a `csv` or `tsv`, and you must also specify the `labels` and `values` as separate attributes that represent columns in said file:\n ```js\n new roughViz.BarH({\n element: '#viz0',\n data: 'stringToDataUrl.csv',\n labels: 'nameOfLabelsColumn',\n values: 'nameOfValuesColumn',\n })\n ```\n\nOptional\n- `axisFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `axisRoughness` [number]: Roughness for x & y axes. Default: `0.5`.\n- `axisStrokeWidth` [number]: Stroke-width for x & y axes. Default: `0.5`.\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `color` [string]: Color for each bar. Default: `'skyblue'`.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.5`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `highlight` [string]: Color for each bar on hover. Default: `'coral'`.\n- `innerStrokeWidth` [number]: Stroke-width for paths inside bars. Default: `1`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `labelFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `padding` [number]: Padding between bars. Default: `0.1`.\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `stroke` [string]: Color of bars' stroke. Default: `black`.\n- `strokeWidth` [number]: Size of bars' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'1rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n- `xLabel` [string]: Label for x-axis.\n- `yLabel` [string]: Label for y-axis.\n\n\n### `roughViz.Donut`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Data with which to construct chart.\nCan be either an object or string.\n\n - If object: must contain `labels` and `values` keys:\n\n ```js\n new roughViz.Donut({\n element: '.viz',\n data: {labels: ['a', 'b'], values: [10, 20]}\n })\n ```\n\n - If string: must be a path/url to a `csv`, `json`, or `tsv`, and you must also specify the `labels` and `values` as separate attributes that represent columns in said file:\n ```js\n new roughViz.Donut({\n element: '#viz0',\n data: 'stringToDataUrl.csv',\n labels: 'nameOfLabelsColumn',\n values: 'nameOfValuesColumn',\n })\n ```\n\nOptional\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `colors` [array]: Array of colors for each arc. Default: `['coral', 'skyblue', '#66c2a5', 'tan', '#8da0cb', '#e78ac3', '#a6d854', '#ffd92f', 'tan', 'orange']`.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.85`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `highlight` [string]: Color for each arc on hover. Default: `'coral'`.\n- `innerStrokeWidth` [number]: Stroke-width for paths inside arcs. Default: `0.75`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `legend` [boolean]: Whether or not to add legend. Default: `'true'`.\n- `legendPosition` [string]: Position of legend. Should be either `'left'` or `'right'`. Default: `'right'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `padding` [number]: Padding between bars. Default: `0.1`.\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `strokeWidth` [number]: Size of bars' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'1rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n\n\n### `roughViz.Line`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Must be a path/url to a `csv` or `tsv`, and you must also specify the each `y` as separate attributes that represent columns in said file. Each attribute prefaced with `y` (except `yLabel`) will receive its own line:\n ```js\n new roughViz.Line({\n element: '#viz0',\n data: 'https://raw.githubusercontent.com/jwilber/random_data/master/profits.csv',\n y1: 'revenue',\n y2: 'cost',\n y3: 'profit'\n })\n ```\n\nOptional\n- `axisFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `axisRoughness` [number]: Roughness for x & y axes. Default: `0.5`.\n- `axisStrokeWidth` [number]: Stroke-width for x & y axes. Default: `0.5`.\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `circle` [boolean]: Whether or not to add circles to chart. Default: `true`.\n- `circleRadius` [number]: Radius of circles. Default: `10`.\n- `circleRoughness` [number]: Roughness of circles. Default: `2`.\n- `colors` [array or string]: Array of colors for each arc. Default: `['coral', 'skyblue', '#66c2a5', 'tan', '#8da0cb', '#e78ac3', '#a6d854', '#ffd92f', 'tan', 'orange']`. If string (e.g. `'blue'`), all circles will take that color.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.5`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `labelFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `legend` [boolean]: Whether or not to add legend. Default: `true`.\n- `legendPosition` [string]: Position of legend. Should be either `'left'` or `'right'`. Default: `'right'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `stroke` [string]: Color of lines' stroke. Default: `this.colors`.\n- `strokeWidth` [number]: Size of lines' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'0.95rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n- `xLabel` [string]: Label for x-axis.\n- `yLabel` [string]: Label for y-axis.\n\n\n### `roughViz.Pie`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Data with which to construct chart.\nCan be either an object or string.\n\n - If object: must contain `labels` and `values` keys:\n\n ```js\n new roughViz.Pie({\n element: '.viz',\n data: {labels: ['a', 'b'], values: [10, 20]}\n })\n ```\n\n - If string: must be a path/url to a `csv`, `json`, or `tsv`, and you must also specify the `labels` and `values` as separate attributes that represent columns in said file:\n ```js\n new roughViz.Pie({\n element: '#viz0',\n data: 'stringToDataUrl.csv',\n labels: 'nameOfLabelsColumn',\n values: 'nameOfValuesColumn',\n })\n ```\n\nOptional\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `colors` [array]: Array of colors for each arc. Default: `['coral', 'skyblue', '#66c2a5', 'tan', '#8da0cb', '#e78ac3', '#a6d854', '#ffd92f', 'tan', 'orange']`.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.85`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `highlight` [string]: Color for each arc on hover. Default: `'coral'`.\n- `innerStrokeWidth` [number]: Stroke-width for paths inside arcs. Default: `0.75`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `legend` [boolean]: Whether or not to add legend. Default: `true`.\n- `legendPosition` [string]: Position of legend. Should be either `'left'` or `'right'`. Default: `'right'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `padding` [number]: Padding between bars. Default: `0.1`.\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `strokeWidth` [number]: Size of bars' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'1rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n\n\n### `roughViz.Scatter`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Data with which to construct chart.\nCan be either an object or string.\n\n - If object: must contain `x` and `y` keys:\n\n ```js\n new roughViz.Scatter({\n element: '.viz',\n data: {x: [1, 2, 35], y: [10, 20, 8]}\n })\n ```\n\n - If string: must be a path/url to a `csv` or `tsv`, and you must also specify the `x` and `y` as separate attributes that represent columns in said file:\n ```js\n new roughViz.Scatter({\n element: '#viz0',\n data: 'stringToDataUrl.csv',\n x: 'nameOfLabelsColumn',\n y: 'nameOfValuesColumn',\n })\n ```\n\nOptional\n- `axisFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `axisRoughness` [number]: Roughness for x & y axes. Default: `0.5`.\n- `axisStrokeWidth` [number]: Stroke-width for x & y axes. Default: `0.5`.\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `colors` [array or string]: Array of colors for each arc. Default: `['coral', 'skyblue', '#66c2a5', 'tan', '#8da0cb', '#e78ac3', '#a6d854', '#ffd92f', 'tan', 'orange']`. If string (e.g. `'blue'`), all circles will take that color.\n- `colorVar` [string]: If input data is `csv` or `tsv`, this should be an ordinal column with which to color points by.\n`curbZero` [boolean]: Whether or not to force (x, y) axes to (0, 0). Default: `false`.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.5`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `highlight` [string]: Color for each bar on hover. Default: `'coral'`.\n- `highlightLabel` [string]: If input data is `csv` or `tsv`, this should be a column representing what value to display on hover. Otherwise, `(x, y)` values will be shown on hover.\n- `innerStrokeWidth` [number]: Stroke-width for paths inside circles. Default: `1`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `labelFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `radius` [number]: Circle radius. Default: `8`.\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `stroke` [string]: Color of circles' stroke. Default: `black`.\n- `strokeWidth` [number]: Size of circles' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'0.95rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n- `xLabel` [string]: Label for x-axis.\n- `yLabel` [string]: Label for y-axis.\n\n\n### `roughViz.StackedBar`\nRequired\n- `element` [string]: Id or class of container element.\n- `data`: Data with which to construct chart. Should be an object.\n- `labels`: String name of label key in `data` object.\n\n ```js\n new roughViz.StackedBar({\n element: '#vis0',\n data: [\n {month:'Jan', A:20, B: 5},\n {month:'Feb', A:25, B: 10},\n ],\n labels: 'month',\n })\n ```\n\nOptional\n- `axisFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `axisRoughness` [number]: Roughness for x & y axes. Default: `0.5`.\n- `axisStrokeWidth` [number]: Stroke-width for x & y axes. Default: `0.5`.\n- `bowing` [number]: Chart bowing. Default: `0`.\n- `colors` [string]: Array of colors for each bar grouping.\n- `fillStyle` [string]: Bar fill-style. Should be one of [fillStyles](#fillStyle) shown above.\n- `fillWeight` [number]: Weight of inner paths' color. Default: `0.5`.\n- `font`: Font-family to use. You can use `0` or `gaegu` to use `Gaegu`, or `1` or `indie flower` to use `Indie Flower`. Or feed it something else. Default: `Gaegu`.\n- `highlight` [string]: Color for each bar on hover. Default: `'coral'`.\n- `innerStrokeWidth` [number]: Stroke-width for paths inside bars. Default: `1`.\n- `interactive` [boolean]: Whether or not chart is interactive. Default: `true`.\n- `labelFontSize` [string]: Font-size for axes' labels. Default: `'1rem'`.\n- `margin` [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70, left: 100}`\n- `padding` [number]: Padding between bars. Default: `0.1`.\n- `roughness` [number]: Roughness level of chart. Default: `1`.\n- `simplification` [number]: Chart simplification. Default `0.2`.\n- `stroke` [string]: Color of bars' stroke. Default: `black`.\n- `strokeWidth` [number]: Size of bars' stroke. Default: `1`.\n- `title` [string]: Chart title. Optional.\n- `titleFontSize` [string]: Font-size for chart title. Default: `'1rem'`.\n- `tooltipFontSize` [string]: Font-size for tooltip. Default: `'0.95rem'`.\n- `xLabel` [string]: Label for x-axis.\n- `yLabel` [string]: Label for y-axis.\n\n\n\n### Contributors\n- [Jared Wilber](https://twitter.com/jdwlbr)\n- [Laimonas Andriejauskas](https://github.com/laimonasA)\n- [Dave Slutzkin](https://github.com/daveslutzkin)\n- [JoLo](https://github.com/jolo-dev)\n- [Lucas Wilber](https://github.com/lucasjwilber)\n\n### Acknowledgements\nThis library wouldn't be possible without the following people:\n\n- [Mike Bostock](https://twitter.com/mbostock) for [D3.js](https://d3js.org/).\n- [Preet Shihn](https://twitter.com/preetster) for [rough.js](https://roughjs.com/).\n- [Jo Wood](https://www.city.ac.uk/people/academics/jo-wood) for [handy](https://www.gicentre.net/software/#/handy/) processing lib.\n\n\n### License\nMIT License\n\nCopyright (c) 2019 Jared Wilber\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n" }, { "path": "package.json", "content": "{\n \"name\": \"rough-viz\",\n \"version\": \"2.0.5\",\n \"description\": \"Hand drawn, rough, sketchy data visualization in svg.\",\n \"jsdelivr\": \"dist/roughviz.umd.js\",\n \"main\": \"dist/roughviz.cjs.js\",\n \"module\": \"dist/roughviz.es.js\",\n \"unpkg\": \"dist/roughviz.umd.js\",\n \"scripts\": {\n \"dev\": \"vite\",\n \"build\": \"vite build\",\n \"serve\": \"vite preview\",\n \"test\": \"jest --env=jsdom\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/jwilber/roughViz.git\"\n },\n \"keywords\": [\n \"chart\",\n \"graph\",\n \"rough\",\n \"hand-drawn\",\n \"sketchy\",\n \"dataviz\",\n \"data visualization\"\n ],\n \"author\": \"jwilber\",\n \"license\": \"MIT\",\n \"bugs\": {\n \"url\": \"https://github.com/jwilber/roughViz/issues\"\n },\n \"homepage\": \"https://github.com/jwilber/roughViz#readme\",\n \"dependencies\": {\n \"d3-array\": \"^2.3.1\",\n \"d3-axis\": \"^1.0.12\",\n \"d3-fetch\": \"^1.1.2\",\n \"d3-force\": \"^3.0.0\",\n \"d3-format\": \"^1.4.1\",\n \"d3-scale\": \"^3.2.0\",\n \"d3-scale-chromatic\": \"^1.5.0\",\n \"d3-selection\": \"^1.4.0\",\n \"d3-shape\": \"^1.3.5\",\n \"roughjs\": \"^4.0.0\"\n },\n \"devDependencies\": {\n \"eslint\": \"^6.3.0\",\n \"eslint-config-strongloop\": \"^2.1.0\",\n \"jest\": \"^24.9.0\",\n \"rollup-plugin-terser\": \"^7.0.2\",\n \"vite\": \"^4.4.9\"\n }\n}\n" }, { "path": "src/Bar.js", "content": "import { max } from \"d3-array\";\nimport { axisBottom, axisLeft } from \"d3-axis\";\nimport { csv, tsv } from \"d3-fetch\";\nimport { format } from \"d3-format\";\nimport { scaleBand, scaleLinear } from \"d3-scale\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\n/**\n * Bar chart class, which extends the Chart class.\n */\nclass Bar extends Chart {\n /**\n * Constructs a new Bar instance.\n * @param {Object} opts - Configuration object for the bar chart.\n */\n constructor(opts) {\n super(opts);\n\n // load in arguments from config object\n this.data = opts.data;\n this.margin = opts.margin || { top: 20, right: 10, bottom: 20, left: 20 };\n this.color = opts.color || \"red\";\n this.highlight = opts.highlight || \"coral\";\n this.roughness = roughCeiling({ roughness: opts.roughness });\n this.stroke = opts.stroke || \"black\";\n this.strokeWidth = opts.strokeWidth || 1;\n this.axisStrokeWidth = opts.axisStrokeWidth || 0.5;\n this.axisRoughness = opts.axisRoughness || 0.5;\n this.innerStrokeWidth = opts.innerStrokeWidth || 1;\n this.fillWeight = opts.fillWeight || 0.5;\n this.axisFontSize = opts.axisFontSize;\n this.labels = this.dataFormat === \"object\" ? \"labels\" : opts.labels;\n this.values = this.dataFormat === \"object\" ? \"values\" : opts.values;\n this.xValueFormat = opts.xValueFormat;\n this.yValueFormat = opts.yValueFormat;\n this.padding = opts.padding || 0.1;\n this.xLabel = opts.xLabel || \"\";\n this.yLabel = opts.yLabel || \"\";\n this.labelFontSize = opts.labelFontSize || \"1rem\";\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n window.addEventListener(\"resize\", this.resizeHandler.bind(this));\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n select(this.el).select(\".tooltip\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.color = opts.color || this.color;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n this.title = opts.title || this.title;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n }\n\n /**\n * Created scales required for chart.\n */\n addScales() {\n const that = this;\n\n this.xScale = scaleBand()\n .rangeRound([0, this.width])\n .padding(this.padding)\n .domain(\n this.dataFormat === \"file\"\n ? this.data.map((d) => d[that.labels])\n : this.data[that.labels]\n );\n\n this.yScale = scaleLinear()\n .rangeRound([this.height, 0])\n .domain(\n this.dataFormat === \"file\"\n ? [0, max(this.data, (d) => +d[that.values])]\n : [0, max(this.data[that.values])]\n );\n }\n\n /**\n * Create x and y labels for chart.\n */\n addLabels() {\n // xLabel\n if (this.xLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", this.height + this.margin.bottom / 2)\n .attr(\"dx\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.xLabel);\n }\n // yLabel\n if (this.yLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"transform\", \"rotate(-90)\")\n .attr(\"y\", 0 - this.margin.left / 1.4)\n .attr(\"x\", 0 - this.height / 2)\n .attr(\"dy\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.yLabel);\n }\n }\n\n /**\n * Create x and y axes for chart.\n */\n addAxes() {\n const xAxis = axisBottom(this.xScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.xValueFormat ? format(this.xValueFormat)(d) : d;\n });\n\n const yAxis = axisLeft(this.yScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.yValueFormat ? format(this.yValueFormat)(d) : d;\n });\n\n // x-axis\n this.svg\n .append(\"g\")\n .attr(\"transform\", \"translate(0,\" + this.height + \")\")\n .call(xAxis)\n .attr(\"class\", `xAxis${this.graphClass}`)\n .selectAll(\"text\")\n .attr(\"transform\", \"translate(-10,0)rotate(-45)\")\n .style(\"text-anchor\", \"end\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.8, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n )\n .style(\"opacity\", 0.9);\n\n // y-axis\n this.svg\n .append(\"g\")\n .call(yAxis)\n .attr(\"class\", `yAxis${this.graphClass}`)\n .selectAll(\"text\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n )\n .style(\"opacity\", 0.9);\n\n // hide original axes\n selectAll(\"path.domain\").attr(\"stroke\", \"transparent\");\n }\n\n makeAxesRough(roughSvg, rcAxis) {\n const xAxisClass = `xAxis${this.graphClass}`;\n const yAxisClass = `yAxis${this.graphClass}`;\n const roughXAxisClass = `rough-${xAxisClass}`;\n const roughYAxisClass = `rough-${yAxisClass}`;\n\n select(`.${xAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughXAxis = rcAxis.path(pathD, {\n fillStyle: \"hachure\",\n });\n roughXAxis.setAttribute(\"class\", roughXAxisClass);\n roughSvg.appendChild(roughXAxis);\n });\n selectAll(`.${roughXAxisClass}`).attr(\n \"transform\",\n `translate(0, ${this.height})`\n );\n\n select(`.${yAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughYAxis = rcAxis.path(pathD, {\n fillStyle: \"hachure\",\n });\n roughYAxis.setAttribute(\"class\", roughYAxisClass);\n roughSvg.appendChild(roughYAxis);\n });\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 2)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 5)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n selectAll(this.interactionG)\n .data(this.dataFormat === \"file\" ? this.data : this.data.values)\n .append(\"rect\")\n .attr(\"x\", (d, i) => {\n return this.dataFormat === \"file\"\n ? this.xScale(d[this.labels])\n : this.xScale(this.data[this.labels][i]);\n })\n .attr(\"y\", (d, i) => {\n return this.dataFormat === \"file\"\n ? this.yScale(+d[this.values])\n : this.yScale(this.data[this.values][i]);\n })\n .attr(\"width\", this.xScale.bandwidth())\n .attr(\"height\", (d, i) => {\n return this.dataFormat === \"file\"\n ? this.height - this.yScale(+d[this.values])\n : this.height - this.yScale(this.data[this.values][i]);\n })\n .attr(\"fill\", \"transparent\");\n\n // create tooltip\n const Tooltip = select(this.el)\n .append(\"div\")\n .style(\"opacity\", 0)\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"background-color\", \"white\")\n .style(\"border\", \"solid\")\n .style(\"border-width\", \"1px\")\n .style(\"border-radius\", \"5px\")\n .style(\"padding\", \"3px\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"pointer-events\", \"none\");\n\n // event functions\n let mouseover = function (d) {\n Tooltip.style(\"opacity\", 1);\n };\n const that = this;\n\n let mousemove = function (d) {\n const attrX = select(this).attr(\"attrX\");\n const attrY = select(this).attr(\"attrY\");\n const mousePos = mouse(this);\n // get size of enclosing div\n Tooltip.html(`${attrX}: ${attrY}`)\n .style(\"opacity\", 0.95)\n .style(\n \"transform\",\n `translate(${mousePos[0] + 10 + that.margin.left}px, \n ${\n mousePos[1] -\n 10 -\n (that.height + that.margin.top + that.margin.bottom / 2)\n }px)`\n );\n };\n\n let mouseleave = function (d) {\n Tooltip.style(\"opacity\", 0);\n };\n\n // d3 event handlers\n selectAll(this.interactionG).on(\"mouseover\", function () {\n mouseover();\n select(this).select(\"path\").style(\"stroke\", that.highlight);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth + 1.2);\n });\n\n selectAll(this.interactionG).on(\"mouseout\", function () {\n mouseleave();\n select(this).select(\"path\").style(\"stroke\", that.color);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth);\n });\n\n selectAll(this.interactionG).on(\"mousemove\", mousemove);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.axisStrokeWidth,\n roughness: this.axisRoughness,\n },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n fill: this.color,\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n strokeWidth: this.innerStrokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n\n // Add barplot\n this.data.values.forEach((d, i) => {\n const node = this.rc.rectangle(\n this.xScale(this.data[this.labels][i]),\n this.yScale(+d),\n this.xScale.bandwidth(),\n this.height - this.yScale(+d),\n {\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n }\n );\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", this.data[this.labels][i]);\n roughNode.setAttribute(\"attrY\", +d);\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n\n // Add barplot\n this.data.forEach((d) => {\n const node = this.rc.rectangle(\n this.xScale(d[this.labels]),\n this.yScale(+d[this.values]),\n this.xScale.bandwidth(),\n this.height - this.yScale(+d[this.values]),\n {\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n }\n );\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", d[this.labels]);\n roughNode.setAttribute(\"attrY\", +d[this.values]);\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n}\n\nexport default Bar;\n" }, { "path": "src/BarH.js", "content": "import { max } from \"d3-array\";\nimport { axisBottom, axisLeft } from \"d3-axis\";\nimport { csv, tsv } from \"d3-fetch\";\nimport { format } from \"d3-format\";\nimport { scaleBand, scaleLinear } from \"d3-scale\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\n/**\n * BarH chart class, which extends the Chart class.\n */\nclass BarH extends Chart {\n /**\n * Constructs a new BarH instance.\n * @param {Object} opts - Configuration object for the horizontal bar chart.\n */\n constructor(opts) {\n super(opts);\n\n // load in arguments from config object\n // this.data = opts.data;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 50, left: 100 };\n this.color = opts.color || \"red\";\n this.highlight = opts.highlight || \"coral\";\n this.roughness = roughCeiling({ roughness: opts.roughness });\n this.stroke = opts.stroke || \"black\";\n this.strokeWidth = opts.strokeWidth || 1;\n this.axisStrokeWidth = opts.axisStrokeWidth || 0.5;\n this.axisRoughness = opts.axisRoughness || 0.5;\n this.innerStrokeWidth = opts.innerStrokeWidth || 1;\n this.fillWeight = opts.fillWeight || 0.5;\n this.axisFontSize = opts.axisFontSize;\n this.labels = this.dataFormat === \"object\" ? \"labels\" : opts.labels;\n this.values = this.dataFormat === \"object\" ? \"values\" : opts.values;\n this.xValueFormat = opts.xValueFormat;\n this.yValueFormat = opts.yValueFormat;\n this.padding = opts.padding || 0.1;\n this.xLabel = opts.xLabel || \"\";\n this.yLabel = opts.yLabel || \"\";\n this.labelFontSize = opts.labelFontSize || \"1rem\";\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n window.addEventListener(\"resize\", this.resizeHandler.bind(this));\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.stroke = opts.stroke || this.stroke;\n this.color = opts.color || this.color;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n }\n\n addScales() {\n const that = this;\n this.yScale = scaleBand()\n .rangeRound([0, this.height])\n .padding(this.padding)\n .domain(\n this.dataFormat === \"file\"\n ? this.data.map((d) => d[that.labels])\n : this.data[that.labels]\n );\n\n this.xScale = scaleLinear()\n .rangeRound([0, this.width])\n .domain(\n this.dataFormat === \"file\"\n ? [0, max(this.data, (d) => +d[that.values])]\n : [0, max(this.data[that.values])]\n );\n }\n\n /**\n * Create x and y labels for chart.\n */\n addLabels() {\n // xLabel\n if (this.xLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", this.height + this.margin.bottom / 2.4)\n .attr(\"dx\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.xLabel);\n }\n // yLabel\n if (this.yLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"transform\", \"rotate(-90)\")\n .attr(\"y\", 0 - this.margin.left / 1.5)\n .attr(\"x\", 0 - this.height / 2)\n .attr(\"dy\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.yLabel);\n }\n }\n\n /**\n * Create x and y axes for chart.\n */\n addAxes() {\n const xAxis = axisBottom(this.xScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.xValueFormat ? format(this.xValueFormat)(d) : d;\n });\n\n const yAxis = axisLeft(this.yScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.yValueFormat ? format(this.yValueFormat)(d) : d;\n });\n\n // x-axis\n this.svg\n .append(\"g\")\n .attr(\"transform\", `translate(0, ${this.height})`)\n .call(xAxis)\n .attr(\"class\", `xAxis${this.graphClass}`)\n .selectAll(\"text\")\n .attr(\"transform\", \"translate(-10,0)rotate(-45)\")\n .style(\"text-anchor\", \"end\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n )\n .style(\"opacity\", 0.85);\n\n // y-axis\n this.svg\n .append(\"g\")\n .call(yAxis)\n .attr(\"class\", `yAxis${this.graphClass}`)\n .selectAll(\"text\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n )\n .style(\"opacity\", 0.85);\n\n // hide original axes\n selectAll(\"path.domain\").attr(\"stroke\", \"transparent\");\n }\n\n makeAxesRough(roughSvg, rcAxis) {\n const xAxisClass = `xAxis${this.graphClass}`;\n const yAxisClass = `yAxis${this.graphClass}`;\n const roughXAxisClass = `rough-${xAxisClass}`;\n const roughYAxisClass = `rough-${yAxisClass}`;\n\n select(`.${xAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughXAxis = rcAxis.path(pathD, {\n stroke: \"black\",\n fillStyle: \"hachure\",\n });\n roughXAxis.setAttribute(\"class\", roughXAxisClass);\n roughSvg.appendChild(roughXAxis);\n });\n selectAll(`.${roughXAxisClass}`).attr(\n \"transform\",\n `translate(0, ${this.height})`\n );\n\n select(`.${yAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughYAxis = rcAxis.path(pathD, {\n stroke: \"black\",\n fillStyle: \"hachure\",\n });\n roughYAxis.setAttribute(\"class\", roughYAxisClass);\n roughSvg.appendChild(roughYAxis);\n });\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 2)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 5)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n // add highlight helper dom nodes\n selectAll(this.interactionG)\n .data(this.dataFormat === \"file\" ? this.data : this.data.values)\n .append(\"rect\")\n .attr(\"x\", 0)\n .attr(\"y\", (d, i) => {\n return this.dataFormat === \"file\"\n ? this.yScale(d[this.labels])\n : this.yScale(this.data[this.labels][i]);\n })\n .attr(\"width\", (d, i) => {\n return this.dataFormat === \"file\"\n ? this.xScale(+d[this.values])\n : this.xScale(this.data[this.values][i]);\n })\n .attr(\"height\", this.yScale.bandwidth())\n .attr(\"fill\", \"transparent\");\n\n // create tooltip\n const Tooltip = select(this.el)\n .append(\"div\")\n .style(\"opacity\", 0)\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"background-color\", \"white\")\n .style(\"border\", \"solid\")\n .style(\"border-width\", \"1px\")\n .style(\"border-radius\", \"5px\")\n .style(\"padding\", \"3px\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"pointer-events\", \"none\");\n\n // event functions\n let mouseover = function (d) {\n Tooltip.style(\"opacity\", 1);\n };\n const that = this;\n\n let mousemove = function (d) {\n const attrX = select(this).attr(\"attrX\");\n const attrY = select(this).attr(\"attrY\");\n const mousePos = mouse(this);\n // get size of enclosing div\n Tooltip.html(`${attrX}: ${attrY}`)\n .style(\"opacity\", 0.95)\n .style(\n \"transform\",\n `translate(${mousePos[0] + that.margin.left}px, \n ${\n mousePos[1] -\n (that.height + that.margin.top + that.margin.bottom / 2)\n }px)`\n );\n };\n let mouseleave = function (d) {\n Tooltip.style(\"opacity\", 0);\n };\n\n // d3 event handlers\n selectAll(this.interactionG).on(\"mouseover\", function () {\n mouseover();\n select(this).select(\"path\").style(\"stroke\", that.highlight);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth + 1.2);\n });\n\n selectAll(this.interactionG).on(\"mouseout\", function () {\n mouseleave();\n select(this).select(\"path\").style(\"stroke\", that.color);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth);\n });\n\n selectAll(this.interactionG).on(\"mousemove\", mousemove);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.axisStrokeWidth,\n roughness: this.axisRoughness,\n },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n fill: this.color,\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n strokeWidth: this.innerStrokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n\n this.data.values.forEach((d, i) => {\n const node = this.rc.rectangle(\n 0,\n this.yScale(this.data[this.labels][i]),\n this.xScale(d),\n this.yScale.bandwidth(),\n {\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n }\n );\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", this.data[this.labels][i]);\n roughNode.setAttribute(\"attrY\", +d);\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n\n // Add barplot\n this.data.forEach((d) => {\n const node = this.rc.rectangle(\n 0,\n this.yScale(d[this.labels]),\n this.xScale(+d[this.values]),\n this.yScale.bandwidth(),\n {\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n }\n );\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", d[this.labels]);\n roughNode.setAttribute(\"attrY\", +d[this.values]);\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n}\n\nexport default BarH;\n" }, { "path": "src/Chart.js", "content": "import { select } from \"d3-selection\";\nimport { addFontGaegu, addFontIndieFlower } from \"./utils/addFonts\";\n\n/**\n * Chart class ABC.\n */\nclass Chart {\n /**\n * Constructs a new Chart instance.\n * @param {Object} opts - Configuration object for the chart.\n */\n constructor(opts) {\n this.el = opts.element;\n this.element = opts.element;\n this.title = opts.title;\n this.titleFontSize = opts.titleFontSize || \"17px\";\n this.font = opts.font || 0;\n this.fillStyle = opts.fillStyle;\n this.tooltipFontSize = opts.tooltipFontSize || \"0.95rem\";\n this.bowing = opts.bowing || 0;\n this.simplification = opts.simplification || 0.2;\n this.interactive = opts.interactive !== false;\n this.dataFormat = typeof opts.data === \"object\" ? \"object\" : \"file\";\n }\n\n setSvg() {\n this.svg = select(this.el)\n .append(\"svg\")\n .attr(\n \"viewBox\",\n `0 0 ${this.width + this.margin.left + this.margin.right}\n ${this.height + this.margin.top + this.margin.bottom}`\n )\n .append(\"g\")\n .attr(\"id\", this.roughId)\n .attr(\n \"transform\",\n \"translate(\" + this.margin.left + \",\" + this.margin.top + \")\"\n );\n }\n\n resolveFont() {\n if (\n this.font === 0 ||\n this.font === undefined ||\n this.font.toString().toLowerCase() === \"gaegu\"\n ) {\n addFontGaegu(this.svg);\n this.fontFamily = \"gaeguregular\";\n } else if (\n this.font === 1 ||\n this.font.toString().toLowerCase() === \"indie flower\"\n ) {\n addFontIndieFlower(this.svg);\n this.fontFamily = \"indie_flowerregular\";\n } else {\n this.fontFamily = this.font;\n }\n }\n}\n\nexport default Chart;\n" }, { "path": "src/Donut.js", "content": "import { csv, tsv, json } from \"d3-fetch\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport { arc, pie } from \"d3-shape\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { colors } from \"./utils/colors\";\nimport { addLegend } from \"./utils/addLegend\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\n/**\n * Donut chart class, which extends the Chart class.\n */\nclass Donut extends Chart {\n /**\n * Constructs a new Donut instance.\n * @param {Object} opts - Configuration object for the donut chart.\n */\n constructor(opts) {\n super(opts);\n\n // load in arguments from config object\n // this.data = opts.data;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 10, left: 20 };\n this.colors = opts.colors || colors;\n this.highlight = opts.highlight;\n this.roughness = roughCeiling({ roughness: opts.roughness, ceiling: 30 });\n this.strokeWidth = opts.strokeWidth || 0.75;\n this.innerStrokeWidth = opts.innerStrokeWidth || 0.75;\n this.fillWeight = opts.fillWeight || 0.85;\n this.labels = this.dataFormat === \"object\" ? \"labels\" : opts.labels;\n this.values = this.dataFormat === \"object\" ? \"values\" : opts.values;\n if (this.labels === undefined || this.values === undefined) {\n console.log(`Error for ${this.el}: Must include labels and values when \\\n instantiating Donut chart. Skipping chart.`);\n return;\n }\n this.legend = opts.legend !== false;\n this.legendPosition = opts.legendPosition || \"right\";\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n window.addEventListener(\"resize\", this.resizeHandler.bind(this));\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.radius = Math.min(this.width, this.height) / 2;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".json\")) {\n return () => {\n json(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 3)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n selectAll(this.interactionG)\n .append(\"g\")\n .attr(\"transform\", `translate(${this.width / 2}, ${this.height / 2})`)\n .data(\n this.dataFormat === \"object\"\n ? this.makePie(this.data[this.values])\n : this.makePie(this.data)\n )\n .append(\"path\")\n .attr(\"d\", this.makeArc)\n .attr(\"stroke-width\", \"0px\")\n .attr(\"fill\", \"transparent\");\n\n // create tooltip\n const Tooltip = select(this.el)\n .append(\"div\")\n .style(\"opacity\", 0)\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"background-color\", \"white\")\n .style(\"border\", \"solid\")\n .style(\"border-width\", \"1px\")\n .style(\"border-radius\", \"5px\")\n .style(\"padding\", \"3px\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"pointer-events\", \"none\");\n\n // event functions\n let mouseover = function (d) {\n Tooltip.style(\"opacity\", 1);\n };\n\n const that = this;\n let thisColor;\n\n let mousemove = function (d) {\n const attrX = select(this).attr(\"attrX\");\n const attrY = select(this).attr(\"attrY\");\n const mousePos = mouse(this);\n // get size of enclosing div\n Tooltip.html(`${attrX}: ${attrY}`)\n .style(\"opacity\", 0.95)\n .style(\n \"transform\",\n `translate(${mousePos[0] + that.margin.left}px, \n ${\n mousePos[1] -\n (that.height + that.margin.top + that.margin.bottom / 2)\n }px)`\n );\n };\n let mouseleave = function (d) {\n Tooltip.style(\"opacity\", 0);\n };\n\n // d3 event handlers\n selectAll(this.interactionG).on(\"mouseover\", function () {\n mouseover();\n thisColor = select(this).selectAll(\"path\").style(\"stroke\");\n that.highlight === undefined\n ? select(this).selectAll(\"path\").style(\"opacity\", 0.5)\n : select(this).selectAll(\"path\").style(\"stroke\", that.highlight);\n });\n\n selectAll(this.interactionG).on(\"mouseout\", function () {\n mouseleave();\n select(this).selectAll(\"path\").style(\"stroke\", thisColor);\n select(this).selectAll(\"path\").style(\"opacity\", 1);\n });\n\n selectAll(this.interactionG).on(\"mousemove\", mousemove);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n fill: this.color,\n strokeWidth: this.innerStrokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n fillWeight: this.fillWeight,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n this.initRoughObjects();\n\n this.makePie = pie();\n\n this.makeArc = arc().innerRadius(0).outerRadius(this.radius);\n\n this.arcs = this.makePie(this.data[this.values]);\n\n this.arcs.forEach((d, i) => {\n if (d.value !== 0) {\n const node = this.rc.arc(\n this.width / 2, // x\n this.height / 2, // y\n 2 * this.radius, // width\n 2 * this.radius, // height\n d.startAngle - Math.PI / 2, // start\n d.endAngle - Math.PI / 2, // stop\n true,\n {\n fill: this.colors[i],\n stroke: this.colors[i],\n }\n );\n node.setAttribute(\"class\", this.graphClass);\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"attrY\", this.data[this.values][i]);\n roughNode.setAttribute(\"attrX\", this.data[this.labels][i]);\n }\n });\n\n const donutNode = this.rc.circle(\n this.width / 2,\n this.height / 2,\n this.radius,\n {\n fill: \"white\",\n strokeWidth: 0.05,\n fillWeight: 10,\n fillStyle: \"solid\",\n }\n );\n this.roughSvg.appendChild(donutNode);\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n\n // ADD LEGEND\n const dataSources = this.data.labels;\n const legendItems = dataSources.map((key, i) => ({\n color: this.colors[i],\n text: key,\n }));\n // find length of longest text item\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n if (this.legend === true) {\n addLegend(this, legendItems, legendWidth, legendHeight);\n }\n\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n }\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n this.initRoughObjects();\n\n this.makePie = pie()\n .value((d) => d[this.values])\n .sort(null);\n\n const valueArr = [];\n this.makeArc = arc().innerRadius(0).outerRadius(this.radius);\n\n this.arcs = this.makePie(this.data);\n\n this.arcs.forEach((d, i) => {\n if (d.value !== 0) {\n const node = this.rc.arc(\n this.width / 2, // x\n this.height / 2, // y\n 2 * this.radius, // width\n 2 * this.radius, // height\n d.startAngle - Math.PI / 2, // start\n d.endAngle - Math.PI / 2, // stop\n true,\n {\n fill: this.colors[i],\n stroke: this.colors[i],\n }\n );\n node.setAttribute(\"class\", this.graphClass);\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"attrY\", d.data[this.values]);\n roughNode.setAttribute(\"attrX\", d.data[this.labels]);\n }\n valueArr.push(d.data[this.labels]);\n });\n\n const donutNode = this.rc.circle(\n this.width / 2,\n this.height / 2,\n this.radius,\n {\n fill: \"white\",\n strokeWidth: 0.05,\n fillWeight: 10,\n fillStyle: \"solid\",\n }\n );\n this.roughSvg.appendChild(donutNode);\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n\n // ADD LEGEND\n const dataSources = valueArr;\n const legendItems = dataSources.map((key, i) => ({\n color: this.colors[i],\n text: key,\n }));\n // find length of longest text item\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n if (this.legend === true) {\n addLegend(this, legendItems, legendWidth, legendHeight);\n }\n\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n}\n\nexport default Donut;\n" }, { "path": "src/Force.js", "content": "import { mouse, select, selectAll } from \"d3-selection\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { colors } from \"./utils/colors\";\nimport { addLegend } from \"./utils/addLegend\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\nimport { forceSimulation, forceCollide, forceCenter } from \"d3-force\";\nimport { min, max } from \"d3-array\";\nimport { scaleLinear } from \"d3-scale\";\n\n/**\n * Force chart class, which extends the Chart class.\n */\nclass Force extends Chart {\n /**\n * Constructs a new Force instance.\n * @param {Object} opts - Configuration object for the force chart.\n */\n constructor(opts) {\n super(opts);\n this.data = opts.data;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 10, left: 20 };\n this.colors = opts.colors || colors;\n this.highlight = opts.highlight;\n this.roughness = roughCeiling({\n roughness: opts.roughness,\n ceiling: 30,\n defaultValue: 0,\n });\n this.strokeWidth = opts.strokeWidth || 0.75;\n this.innerStrokeWidth = opts.innerStrokeWidth || 0.75;\n this.fillWeight = opts.fillWeight || 0.85;\n this.color = opts.color || \"pink\";\n this.collision = opts.collision || 1;\n this.radiusExtent = opts.radiusExtent || [5, 20];\n this.radius = opts.radius || \"radius\";\n this.roughnessExtent = opts.roughnessExtent || [0, 10];\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n const defaultTextCallback = (d) => \"\";\n this.textCallback = opts.textCallback || defaultTextCallback;\n const defaultColorCallback = (d) => this.color;\n this.colorCallback = opts.colorCallback || defaultColorCallback;\n this.legend = opts.legend || false;\n this.legendPosition = opts.legendPosition || \"right\";\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.collision = opts.collision || this.collision;\n this.color = opts.color || this.color;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n this.title = opts.title || this.title;\n const defaultTextCallback = (d) => \"\";\n this.textCallback = opts.textCallback || defaultTextCallback;\n\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 3)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n const that = this;\n let thisColor;\n\n let mouseleave = function (d) {\n select(this).selectAll(\"path:nth-child(1)\").style(\"opacity\", 1);\n select(this).selectAll(\"path:nth-child(1)\").style(\"stroke\", thisColor);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth);\n\n select(this).select(\".node-text\").attr(\"opacity\", 0);\n };\n\n let mouseover = function (d) {\n thisColor = select(this).selectAll(\"path\").style(\"stroke\");\n select(this).raise();\n that.highlight === undefined\n ? select(this).selectAll(\"path:nth-child(1)\").style(\"opacity\", 0.4)\n : select(this)\n .selectAll(\"path:nth-child(1)\")\n .style(\"stroke\", that.highlight);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth + 1.2);\n\n select(this).select(\".node-text\").attr(\"opacity\", 1);\n\n select(this).select(\".node-text\").raise();\n };\n\n selectAll(\".nodeGroup\")\n .on(\"mouseover\", mouseover)\n .on(\"mouseleave\", mouseleave);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.innerStrokeWidth,\n fill: this.color,\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n const that = this;\n let radiusScale;\n let roughnessScale;\n\n if (typeof this.radius === \"number\") {\n radiusScale = scaleLinear()\n .domain([0, 1])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n } else {\n const dataMin = min(this.data, (d) => +d[this.radius]);\n const dataMax = max(this.data, (d) => +d[this.radius]);\n\n // Create a scale based on data's min and max values\n radiusScale = scaleLinear()\n .domain([dataMin, dataMax])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n }\n\n if (typeof this.roughness === \"number\") {\n roughnessScale = scaleLinear()\n .domain([0, 1])\n .range([this.roughnessExtent[0], this.roughnessExtent[1]]);\n } else {\n const roughnessMin = min(this.data, (d) => +d[this.radius]);\n const roughnessMax = max(this.data, (d) => +d[this.radius]);\n\n // Create a scale based on data's min and max values\n roughnessScale = scaleLinear()\n .domain([roughnessMin, roughnessMax])\n .range([this.roughnessExtent[0], this.roughnessExtent[1]]);\n }\n\n this.initRoughObjects();\n\n let nodeGroups = this.svg.selectAll(\".nodeGroup\").data(this.data);\n\n let nodeGroupsEnter = nodeGroups\n .enter()\n .append(\"g\")\n .attr(\"class\", \"nodeGroup\");\n\n nodeGroups = nodeGroups.merge(nodeGroupsEnter);\n\n nodeGroups.each(function (d, i) {\n const nodeRadius =\n typeof that.radius === \"number\"\n ? that.radius\n : radiusScale(d[that.radius]);\n\n const nodeRoughness =\n typeof that.roughness === \"number\"\n ? that.roughness\n : roughnessScale(d[that.roughness]);\n\n const node = that.rc.circle(0, 0, nodeRadius, {\n fill: that.colorCallback(d),\n simplification: that.simplification,\n fillWeight: that.fillWeight,\n roughness: nodeRoughness,\n });\n\n const roughNode = this.appendChild(node);\n roughNode.setAttribute(\"class\", that.graphClass + \"_node\");\n\n select(this)\n .append(\"circle\")\n .attr(\"class\", \"node-circle\")\n .attr(\"r\", nodeRadius * 0.5)\n .attr(\"fill\", \"transparent\")\n .attr(\"stroke-width\", 0)\n .attr(\"stroke\", \"none\");\n\n select(this)\n .append(\"text\")\n .attr(\"class\", \"node-text\")\n .attr(\"x\", 0)\n .attr(\"y\", -10) // Adjust 15 based on your needs\n .attr(\"text-anchor\", \"middle\")\n .style(\"pointer-events\", \"none\")\n .attr(\"stroke\", \"black\")\n .attr(\"fill\", \"white\")\n .attr(\"stroke-linejoin\", \"fill\")\n .attr(\"paint-order\", \"stroke fill\")\n .attr(\"stroke-width\", \"5px\")\n .attr(\"opacity\", 0)\n .text((d) => that.textCallback(d));\n });\n\n const simulation = forceSimulation(this.data);\n simulation.alpha(1).restart();\n\n simulation\n .force(\n \"collide\",\n forceCollide().radius((d) => d.radius * this.collision * 1.2)\n )\n .force(\"center\", forceCenter(this.width / 2, this.height / 2));\n\n simulation.on(\"tick\", () => {\n nodeGroups.attr(\"transform\", (d) => `translate(${d.x}, ${d.y})`);\n nodeGroups.attr(\"attrX\", (d) => +d.x);\n nodeGroups.attr(\"attrY\", (d) => +d.y);\n });\n\n selectAll(\".nodeGroup\")\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n\n if (this.interactive === true) {\n this.addInteraction();\n }\n\n if (this.legend) {\n const legendItems = this.legend;\n this.colors = this.legend.map((item) => item.color);\n\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n addLegend(this, legendItems, legendWidth, legendHeight);\n }\n }\n}\n\nexport default Force;\n" }, { "path": "src/Line.js", "content": "import { bisect, extent, max, min, range } from \"d3-array\";\nimport { axisBottom, axisLeft } from \"d3-axis\";\nimport { csv, tsv } from \"d3-fetch\";\nimport { format } from \"d3-format\";\nimport { scaleLinear, scalePoint } from \"d3-scale\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport { line } from \"d3-shape\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { addLegend } from \"./utils/addLegend\";\nimport { colors } from \"./utils/colors\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\nconst allDataExtent = (data) => {\n // get extend for all keys in data\n const keys = Object.keys(data);\n const extents = keys.map((key) => extent(data[key]));\n const dataMin = min(extents, (d) => d[0]);\n const dataMax = max(extents, (d) => d[1]);\n return [dataMin, dataMax];\n};\n\n/**\n * Line chart class, which extends the Chart class.\n */\nclass Line extends Chart {\n /**\n * Constructs a new Line instance.\n * @param {Object} opts - Configuration object for the line chart.\n */\n constructor(opts) {\n super(opts);\n\n // load in arguments from config object\n this.margin = opts.margin || { top: 50, right: 20, bottom: 50, left: 100 };\n this.roughness = roughCeiling({\n roughness: opts.roughness,\n defaultValue: 2.2,\n });\n this.axisStrokeWidth = opts.axisStrokeWidth || 0.5;\n this.axisRoughness = opts.axisRoughness || 0.5;\n this.stroke = opts.stroke || \"black\";\n this.fillWeight = opts.fillWeight || 0.5;\n this.colors = opts.colors;\n this.strokeWidth = opts.strokeWidth || 1;\n this.axisFontSize = opts.axisFontSize;\n this.x = opts.x;\n this.y = this.dataFormat === \"object\" ? \"y\" : opts.y;\n this.xValueFormat = opts.xValueFormat;\n this.yValueFormat = opts.yValueFormat;\n this.legend = opts.legend !== false;\n this.legendPosition = opts.legendPosition || \"right\";\n this.circle = opts.circle !== false;\n this.circleRadius = opts.circleRadius || 10;\n this.circleRoughness = roughCeiling({\n roughness: opts.circleRoughness,\n defaultValue: 2,\n });\n this.xLabel = opts.xLabel || \"\";\n this.yLabel = opts.yLabel || \"\";\n this.labelFontSize = opts.labelFontSize || \"1rem\";\n if (this.dataFormat === \"file\") {\n this.dataSources = [];\n this.yKeys = Object.keys(opts).filter((name) => /y/.test(name));\n this.yKeys.map((key, i) => {\n if (key !== \"yLabel\") this.dataSources.push(opts[key]);\n });\n }\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n window.addEventListener(\"resize\", this.resizeHandler.bind(this));\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n }\n\n addScales() {\n let dataExtent;\n if (this.dataFormat !== \"file\") {\n dataExtent = allDataExtent(this.data);\n } else {\n const extents = this.dataSources.map((key) =>\n extent(this.data, (d) => +d[key])\n );\n const dataMin = min(extents, (d) => d[0]);\n const dataMax = max(extents, (d) => d[1]);\n dataExtent = [dataMin, dataMax];\n }\n // get value domains and pad axes by 5%\n // if this.x is undefined, use index for x\n let xExtent;\n if (this.x === undefined) {\n // get length of longest array\n const keys = Object.keys(this.data);\n const lengths = keys.map((key) => this.data[key].length);\n const maxLen = max(lengths);\n // Need to make xScale, when this.x is given, ordinal.\n xExtent =\n this.dataFormat === \"file\" ? [0, this.data.length] : [0, maxLen];\n } else {\n xExtent = extent(this.x);\n }\n\n const yExtent = dataExtent;\n\n const yRange = yExtent[1] - yExtent[0];\n\n this.xScale =\n this.x === undefined\n ? scalePoint()\n .range([0, this.width])\n .domain([...Array(xExtent[1]).keys()])\n : scalePoint().range([0, this.width]).domain(this.x);\n\n this.yScale = scaleLinear()\n .range([this.height, 0])\n .domain([0, yExtent[1] + yRange * 0.05]);\n }\n\n /**\n * Create x and y labels for chart.\n */\n addLabels() {\n // xLabel\n if (this.xLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", this.height + this.margin.bottom / 1.3)\n .attr(\"dx\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.xLabel);\n }\n // yLabel\n if (this.yLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"transform\", \"rotate(-90)\")\n .attr(\"y\", 0 - this.margin.left / 2)\n .attr(\"x\", 0 - this.height / 2)\n .attr(\"dy\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.yLabel);\n }\n }\n\n /**\n * Create x and y axes for chart.\n */\n addAxes() {\n const xAxis = axisBottom(this.xScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.xValueFormat ? format(this.xValueFormat)(d) : d;\n });\n\n const yAxis = axisLeft(this.yScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.yValueFormat ? format(this.yValueFormat)(d) : d;\n });\n\n // x-axis\n this.svg\n .append(\"g\")\n .attr(\"transform\", \"translate(0,\" + this.height + \")\")\n .call(xAxis)\n .attr(\"class\", `xAxis${this.graphClass}`)\n .selectAll(\"text\")\n .attr(\"transform\", \"translate(-10, 0)rotate(-45)\")\n .style(\"text-anchor\", \"end\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n );\n\n // y-axis\n this.svg\n .append(\"g\")\n .call(yAxis)\n .attr(\"class\", `yAxis${this.graphClass}`)\n .selectAll(\"text\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n );\n\n // hide original axes\n selectAll(\"path.domain\").attr(\"stroke\", \"transparent\");\n\n selectAll(\"g.tick\").style(\"opacity\", 1);\n }\n\n makeAxesRough(roughSvg, rcAxis) {\n const xAxisClass = `xAxis${this.graphClass}`;\n const yAxisClass = `yAxis${this.graphClass}`;\n const roughXAxisClass = `rough-${xAxisClass}`;\n const roughYAxisClass = `rough-${yAxisClass}`;\n\n select(`.${xAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughXAxis = rcAxis.path(pathD, {\n stroke: \"black\",\n fillStyle: \"hachure\",\n });\n roughXAxis.setAttribute(\"class\", roughXAxisClass);\n roughSvg.appendChild(roughXAxis);\n });\n selectAll(`.${roughXAxisClass}`).attr(\n \"transform\",\n `translate(0, ${this.height})`\n );\n\n select(`.${yAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughYAxis = rcAxis.path(pathD, {\n stroke: \"black\",\n fillStyle: \"hachure\",\n });\n roughYAxis.setAttribute(\"class\", roughYAxisClass);\n roughSvg.appendChild(roughYAxis);\n });\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 2)\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(20, Math.min(this.width, this.height) / 4)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n const that = this;\n this.chartScreen = this.svg.append(\"g\").attr(\"pointer-events\", \"all\");\n\n this.dataSources.map((key, idx) => {\n const yValues = this.dataFormat === \"file\" ? this.data : this.data[key];\n const points = yValues.map((d, i) => {\n return this.x === undefined\n ? [this.xScale(i), this.yScale(d[key])]\n : [this.xScale(this.x[i]), this.yScale(+d[key])];\n });\n\n // remove undefined elements so no odd behavior\n const drawPoints = points.filter((d) => d[0] !== undefined);\n\n const lineGen = line()\n .x((d) => d[0])\n .y((d) => d[1]);\n\n // create lines\n this.svg\n .append(\"path\")\n .datum(drawPoints)\n .attr(\"fill\", \"none\")\n .attr(\"stroke\", \"blue\")\n .attr(\"stroke-width\", 1.5)\n .attr(\"d\", lineGen)\n .attr(\"visibility\", \"hidden\");\n\n // create tracking class (for interaction)\n const iClass = key + \"class\";\n\n // create hover text\n this.svg\n .append(\"g\")\n .attr(\"class\", iClass + \"text\")\n .append(\"text\")\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"opacity\", 0)\n .style(\"font-family\", this.fontFamily)\n .attr(\"text-anchor\", \"middle\")\n .attr(\"alignment-baseline\", \"middle\");\n });\n\n const mousemove = function (d) {\n // recover coordinate we need\n const xPos = mouse(this)[0];\n const domain = that.xScale.domain();\n const xRange = that.xScale.range();\n const rangePoints = range(xRange[0], xRange[1] + 1, that.xScale.step());\n const xSpot = bisect(rangePoints, xPos);\n const yPos = domain[xSpot];\n\n that.dataSources.map((key, i) => {\n const hoverData =\n that.dataFormat === \"file\"\n ? that.x === undefined\n ? that.data[yPos]\n : that.data[xSpot]\n : that.data[key][xSpot];\n // resolve select classes for hover effects\n const thatClass = \".\" + key + \"class\";\n const textClass = thatClass + \"text\";\n\n if (that.dataFormat === \"file\") {\n select(textClass)\n .selectAll(\"text\")\n .style(\"opacity\", 1)\n .html(\n that.x === undefined\n ? `(${xSpot},${hoverData[key]})`\n : `(${that.x[xSpot]}, ${hoverData[key]})`\n )\n .attr(\n \"x\",\n that.x === undefined\n ? that.xScale(xSpot)\n : that.xScale(that.x[xSpot])\n )\n .attr(\"y\", that.yScale(hoverData[key]) - 6);\n } else {\n select(textClass)\n .selectAll(\"text\")\n .style(\"opacity\", 1)\n .html(\n that.x === undefined\n ? `(${xSpot}, ${hoverData})`\n : `(${that.x[xSpot]}, ${hoverData})`\n )\n .attr(\n \"x\",\n that.x === undefined\n ? that.xScale(xSpot)\n : that.xScale(that.x[xSpot])\n )\n .attr(\"y\", that.yScale(hoverData));\n }\n });\n };\n\n this.chartScreen\n .append(\"rect\")\n .attr(\"width\", this.width)\n .attr(\"height\", this.height)\n .attr(\"fill\", \"none\")\n .on(\"mousemove\", mousemove)\n .on(\"mouseout\", () => {\n that.dataSources.map((key) => {\n const thatClass = \".\" + key + \"class\";\n const textClass = thatClass + \"text\";\n select(textClass).selectAll(\"text\").style(\"opacity\", 0);\n });\n });\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.axisStrokeWidth,\n roughness: this.axisRoughness,\n },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n strokeWidth: this.strokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n const that = this;\n // set default color\n if (this.colors === undefined) this.colors = colors;\n\n this.dataSources = Object.keys(this.data);\n this.initRoughObjects();\n this.addScales();\n this.dataSources.map((key, idx) => {\n const points = this.data[key].map((d, i) => {\n return this.x === undefined\n ? [this.xScale(i), this.yScale(+d)]\n : [this.xScale(this.x[i]), this.yScale(d)];\n });\n\n // remove undefined elements so no odd behavior\n const drawPoints = points.filter((d) => d[0] !== undefined);\n const node = this.rc.curve(drawPoints, {\n stroke: that.colors.length === 1 ? that.colors[0] : that.colors[idx],\n roughness: that.roughness,\n bowing: that.bowing,\n });\n\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n if (this.circle === true) {\n points.forEach((d, i) => {\n const node = this.rc.circle(d[0], d[1], this.circleRadius, {\n stroke: this.colors[idx],\n fill: this.colors[idx],\n fillStyle: \"solid\",\n strokeWidth: 1,\n roughness: this.circleRoughness,\n });\n this.roughSvg.appendChild(node);\n });\n }\n });\n // ADD LEGEND\n const legendItems = this.dataSources.map((key, i) => ({\n color: this.colors[i],\n text: key,\n }));\n // find length of longest text item\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n if (this.legend === true) {\n addLegend(this, legendItems, legendWidth, legendHeight, 2);\n }\n\n this.addAxes();\n this.addLabels();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n\n if (this.interactive === true) {\n this.addInteraction();\n }\n }\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n // set default colors\n if (this.colors === undefined) this.colors = colors;\n\n this.initRoughObjects();\n this.addScales();\n\n // Add scatterplot\n this.dataSources.map((key, idx) => {\n const points = this.data.map((d, i) => {\n return this.x === undefined\n ? [this.xScale(i), this.yScale(d[key])]\n : [this.xScale(this.x[i]), this.yScale(+d[key])];\n });\n\n // remove undefined elements so no odd behavior\n const drawPoints = points.filter((d) => d[0] !== undefined);\n const node = this.rc.curve(drawPoints, {\n stroke: this.colors[idx],\n strokeWidth: this.strokeWidth,\n roughness: 1,\n bowing: 10,\n });\n\n this.roughSvg.appendChild(node);\n if (this.circle === true) {\n drawPoints.forEach((d, i) => {\n const node = this.rc.circle(d[0], d[1], this.circleRadius, {\n stroke: this.colors[idx],\n fill: this.colors[idx],\n fillStyle: \"solid\",\n strokeWidth: 1,\n roughness: this.circleRoughness,\n });\n this.roughSvg.appendChild(node);\n });\n }\n });\n\n // ADD LEGEND\n const legendItems = this.dataSources.map((key, i) => ({\n color: this.colors[i],\n text: key,\n }));\n // find length of longest text item\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n if (this.legend === true) {\n addLegend(this, legendItems, legendWidth, legendHeight, 2);\n }\n\n this.addAxes();\n this.addLabels();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n\n if (this.interactive === true) {\n this.addInteraction();\n }\n }\n}\n\nexport default Line;\n" }, { "path": "src/Network.js", "content": "import { csv, tsv, json } from \"d3-fetch\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { colors } from \"./utils/colors\";\nimport { addLegend } from \"./utils/addLegend\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\nimport { min, max } from \"d3-array\";\nimport { scaleLinear } from \"d3-scale\";\nimport {\n forceSimulation,\n forceCollide,\n forceCenter,\n forceLink,\n} from \"d3-force\";\n\n/**\n * Network chart class, which extends the Chart class.\n */\nclass Network extends Chart {\n /**\n * Constructs a new Network instance.\n * @param {Object} opts - Configuration object for the network chart.\n */\n constructor(opts) {\n super(opts);\n // load in arguments from config object\n this.data = opts.data;\n this.links = opts.links;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 10, left: 20 };\n this.colors = opts.colors || colors;\n this.highlight = opts.highlight;\n this.roughness = roughCeiling({\n roughness: opts.roughness,\n ceiling: 30,\n defaultValue: 0,\n });\n this.strokeWidth = opts.strokeWidth || 0.75;\n this.innerStrokeWidth = opts.innerStrokeWidth || 0.75;\n this.fillWeight = opts.fillWeight || 0.85;\n this.color = opts.color || \"skyblue\";\n this.collision = opts.collision || 1.4;\n this.radiusExtent = opts.radiusExtent || [5, 20];\n this.radius = opts.radius || \"radius\";\n const defaultTextCallback = (d) => \"\";\n this.textCallback = opts.textCallback || defaultTextCallback;\n const defaultColorCallback = (d) => this.color;\n this.colorCallback = opts.colorCallback || defaultColorCallback;\n this.roughnessExtent = opts.roughnessExtent || [0, 10];\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n this.legend = opts.legend || false;\n this.legendPosition = opts.legendPosition || \"right\";\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data, opts.links);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data, opts.links);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.collision = opts.collision || this.collision;\n this.color = opts.color || this.color;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n this.title = opts.title || this.title;\n const defaultTextCallback = (d) => \"\";\n this.textCallback = opts.textCallback || defaultTextCallback;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data, links) {\n return () => {\n this.data = data;\n this.links = links;\n this.drawFromObject();\n };\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 3)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n const that = this;\n let thisColor;\n\n let mouseleave = function (d) {\n select(this).selectAll(\"path:nth-child(1)\").style(\"opacity\", 1);\n select(this).selectAll(\"path:nth-child(1)\").style(\"stroke\", thisColor);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.innerStrokeWidth);\n\n select(this).select(\".node-text\").attr(\"opacity\", 0);\n };\n\n let mouseover = function (d) {\n select(this).raise();\n thisColor = select(this).selectAll(\"path\").style(\"stroke\");\n that.highlight === undefined\n ? select(this).selectAll(\"path:nth-child(1)\").style(\"opacity\", 0.4)\n : select(this)\n .selectAll(\"path:nth-child(1)\")\n .style(\"stroke\", that.highlight);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth + 1.2);\n\n select(this).select(\".node-text\").attr(\"opacity\", 1);\n };\n\n // selectAll(this.interactionG).on(\"mousemove\", mousemove);\n selectAll(\".nodeGroup\")\n .on(\"mouseover\", mouseover)\n .on(\"mouseleave\", mouseleave);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.innerStrokeWidth,\n fill: this.color,\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n const that = this;\n let radiusScale;\n let roughnessScale;\n\n if (typeof this.radius === \"number\") {\n radiusScale = scaleLinear()\n .domain([0, 1])\n .range([this.extent[0], this.radiusExtent[1]]);\n } else {\n const dataMin = min(this.data, (d) => +d[this.radius]);\n const dataMax = max(this.data, (d) => +d[this.radius]);\n\n // Create a scale based on data's min and max values\n radiusScale = scaleLinear()\n .domain([dataMin, dataMax])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n }\n\n if (typeof this.roughness === \"number\") {\n roughnessScale = scaleLinear()\n .domain([0, 1])\n .range([this.roughnessExtent[0], this.roughnessExtent[1]]);\n } else {\n const roughnessMin = min(this.data, (d) => +d[this.radius]);\n const roughnessMax = max(this.data, (d) => +d[this.radius]);\n\n // Create a scale based on data's min and max values\n roughnessScale = scaleLinear()\n .domain([roughnessMin, roughnessMax])\n .range([this.roughnessExtent[0], this.roughnessExtent[1]]);\n }\n\n this.initRoughObjects();\n\n const linkElements = this.svg\n .selectAll(\".link\")\n .data(this.links)\n .enter()\n .append(\"line\")\n .attr(\"class\", \"link\");\n\n const nodeGroups = this.svg\n .selectAll(\".nodeGroup\")\n .data(this.data)\n .enter()\n .append(\"g\")\n .attr(\"class\", \"nodeGroup\");\n\n nodeGroups.each(function (d, i) {\n const nodeRadius =\n typeof that.radius === \"number\"\n ? that.radius\n : radiusScale(d[that.radius]);\n\n const nodeRoughness =\n typeof that.roughness === \"number\"\n ? that.roughness\n : roughnessScale(d[that.roughness]);\n\n const node = that.rc.circle(0, 0, nodeRadius, {\n fill: that.colorCallback(d),\n simplification: that.simplification,\n fillWeight: that.fillWeight,\n roughness: nodeRoughness,\n });\n\n this.appendChild(node);\n\n node.setAttribute(\"class\", that.graphClass + \"_node\");\n\n select(this)\n .append(\"circle\")\n .attr(\"class\", \"node-circle\")\n .attr(\"r\", nodeRadius * 0.5)\n .attr(\"fill\", \"transparent\")\n .attr(\"stroke-width\", 0)\n .attr(\"stroke\", \"none\");\n\n select(this)\n .append(\"text\")\n .attr(\"class\", \"node-text\")\n .attr(\"x\", 0)\n .attr(\"y\", -10) // Adjust 15 based on your needs\n .attr(\"text-anchor\", \"middle\")\n .style(\"pointer-events\", \"none\")\n .attr(\"stroke\", \"black\")\n .attr(\"fill\", \"white\")\n .attr(\"stroke-linejoin\", \"fill\")\n .attr(\"paint-order\", \"stroke fill\")\n .attr(\"stroke-width\", \"5px\")\n .attr(\"opacity\", 0)\n .text((d) => that.textCallback(d));\n });\n\n const simulation = forceSimulation(this.data);\n simulation.alpha(1).restart();\n\n simulation\n .force(\n \"collide\",\n forceCollide().radius((d) => d.radius * this.collision)\n )\n .force(\"center\", forceCenter(this.width / 2, this.height / 2))\n .force(\"link\", forceLink(this.links).distance(100));\n simulation.on(\"tick\", () => {\n nodeGroups.attr(\"transform\", (d) => `translate(${d.x}, ${d.y})`);\n linkElements\n .attr(\"x1\", (d) => d.source.x)\n .attr(\"y1\", (d) => d.source.y)\n .attr(\"x2\", (d) => d.target.x)\n .attr(\"y2\", (d) => d.target.y);\n });\n\n selectAll(\".nodeGroup\")\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n\n if (this.interactive === true) {\n this.addInteraction();\n }\n\n if (this.legend) {\n const legendItems = this.legend;\n this.colors = this.legend.map((item) => item.color);\n\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n addLegend(this, legendItems, legendWidth, legendHeight);\n }\n }\n}\n\nexport default Network;\n" }, { "path": "src/Pie.js", "content": "import { csv, tsv, json } from \"d3-fetch\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport { arc, pie } from \"d3-shape\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { colors } from \"./utils/colors\";\nimport { addLegend } from \"./utils/addLegend\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\n/**\n * Pie chart class, which extends the Chart class.\n */\nclass Pie extends Chart {\n /**\n * Constructs a new Pie instance.\n * @param {Object} opts - Configuration object for the pie chart.\n */\n constructor(opts) {\n super(opts);\n // load in arguments from config object\n this.data = opts.data;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 10, left: 20 };\n this.colors = opts.colors || colors;\n this.highlight = opts.highlight;\n this.roughness = roughCeiling({\n roughness: opts.roughness,\n ceiling: 30,\n defaultValue: 0,\n });\n this.strokeWidth = opts.strokeWidth || 0.75;\n this.innerStrokeWidth = opts.innerStrokeWidth || 0.75;\n this.fillWeight = opts.fillWeight || 0.85;\n this.labels = this.dataFormat === \"object\" ? \"labels\" : opts.labels;\n this.values = this.dataFormat === \"object\" ? \"values\" : opts.values;\n if (this.labels === undefined || this.values === undefined) {\n console.log(`Error for ${this.el}: Must include labels and values when \\\n instantiating Donut chart. Skipping chart.`);\n return;\n }\n this.legend = opts.legend !== false;\n this.legendPosition = opts.legendPosition || \"right\";\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.radius = Math.min(this.width, this.height) / 2;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n // if data from file, read in\n // else if data from json object, read in\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".json\")) {\n return () => {\n json(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 3)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n selectAll(this.interactionG)\n .append(\"g\")\n .attr(\"transform\", `translate(${this.width / 2}, ${this.height / 2})`)\n .data(\n this.dataFormat === \"object\"\n ? this.makePie(this.data[this.values])\n : this.makePie(this.data)\n )\n .append(\"path\")\n .attr(\"d\", this.makeArc)\n .attr(\"stroke-width\", \"0px\")\n .attr(\"fill\", \"transparent\");\n\n // create tooltip\n const Tooltip = select(this.el)\n .append(\"div\")\n .style(\"opacity\", 0)\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"background-color\", \"white\")\n .style(\"border\", \"solid\")\n .style(\"border-width\", \"1px\")\n .style(\"border-radius\", \"5px\")\n .style(\"padding\", \"3px\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"pointer-events\", \"none\");\n\n // event functions\n let mouseover = function (d) {\n Tooltip.style(\"opacity\", 1);\n };\n\n const that = this;\n let thisColor;\n\n let mousemove = function (d) {\n const attrX = select(this).attr(\"attrX\");\n const attrY = select(this).attr(\"attrY\");\n const mousePos = mouse(this);\n // get size of enclosing div\n Tooltip.html(`${attrX}: ${attrY}`)\n .style(\"opacity\", 0.95)\n .style(\n \"transform\",\n `translate(${mousePos[0] + that.margin.left}px, \n ${\n mousePos[1] -\n (that.height + that.margin.top + that.margin.bottom / 2)\n }px)`\n );\n };\n let mouseleave = function (d) {\n Tooltip.style(\"opacity\", 0);\n };\n\n // d3 event handlers\n selectAll(this.interactionG).on(\"mouseover\", function () {\n mouseover();\n thisColor = select(this).selectAll(\"path\").style(\"stroke\");\n that.highlight === undefined\n ? select(this).selectAll(\"path\").style(\"opacity\", 0.5)\n : select(this).selectAll(\"path\").style(\"stroke\", that.highlight);\n });\n\n selectAll(this.interactionG).on(\"mouseout\", function () {\n mouseleave();\n select(this).selectAll(\"path\").style(\"stroke\", thisColor);\n select(this).selectAll(\"path\").style(\"opacity\", 1);\n });\n\n selectAll(this.interactionG).on(\"mousemove\", mousemove);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n fill: this.color,\n strokeWidth: this.innerStrokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n this.initRoughObjects();\n this.makePie = pie();\n\n this.makeArc = arc().innerRadius(0).outerRadius(this.radius);\n\n this.arcs = this.makePie(this.data[this.values]);\n this.arcs.forEach((d, i) => {\n if (d.value !== 0) {\n const node = this.rc.arc(\n this.width / 2, // x\n this.height / 2, // y\n 2 * this.radius, // width\n 2 * this.radius, // height\n d.startAngle - Math.PI / 2, // start\n d.endAngle - Math.PI / 2, // stop\n true,\n {\n fill: this.colors[i],\n stroke: this.colors[i],\n }\n );\n node.setAttribute(\"class\", this.graphClass);\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"attrY\", this.data[this.values][i]);\n roughNode.setAttribute(\"attrX\", this.data[this.labels][i]);\n }\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n\n const dataSources = this.data.labels;\n // ADD LEGEND\n const legendItems = dataSources.map((key, i) => ({\n color: this.colors[i],\n text: key,\n }));\n // find length of longest text item\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n if (this.legend === true) {\n addLegend(this, legendItems, legendWidth, legendHeight);\n }\n\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n }\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n this.initRoughObjects();\n\n this.makePie = pie()\n .value((d) => d[this.values])\n .sort(null);\n\n const valueArr = [];\n this.makeArc = arc().innerRadius(0).outerRadius(this.radius);\n\n this.arcs = this.makePie(this.data);\n\n this.arcs.forEach((d, i) => {\n if (d.value !== 0) {\n // let c = this.makeArc.centroid(d);\n const node = this.rc.arc(\n this.width / 2, // x\n this.height / 2, // y\n 2 * this.radius, // width\n 2 * this.radius, // height\n d.startAngle - Math.PI / 2, // start\n d.endAngle - Math.PI / 2, // stop\n true,\n {\n fill: this.colors[i],\n stroke: this.colors[i],\n }\n );\n node.setAttribute(\"class\", this.graphClass);\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"attrY\", d.data[this.values]);\n roughNode.setAttribute(\"attrX\", d.data[this.labels]);\n }\n valueArr.push(d.data[this.labels]);\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n\n // ADD LEGEND\n const dataSources = valueArr;\n const legendItems = dataSources.map((key, i) => ({\n color: this.colors[i],\n text: key,\n }));\n // find length of longest text item\n const legendWidth =\n legendItems.reduce(\n (pre, cur) => (pre > cur.text.length ? pre : cur.text.length),\n 0\n ) *\n 6 +\n 35;\n const legendHeight = legendItems.length * 11 + 8;\n\n if (this.legend === true) {\n addLegend(this, legendItems, legendWidth, legendHeight);\n }\n\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n}\n\nexport default Pie;\n" }, { "path": "src/Scatter.js", "content": "import { extent, min, max } from \"d3-array\";\nimport { axisBottom, axisLeft } from \"d3-axis\";\nimport { csv, tsv } from \"d3-fetch\";\nimport { format } from \"d3-format\";\nimport { scaleLinear, scaleOrdinal } from \"d3-scale\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\nconst defaultColors = [\n \"pink\",\n \"skyblue\",\n \"coral\",\n \"gold\",\n \"teal\",\n \"darkgreen\",\n \"brown\",\n \"slateblue\",\n \"orange\",\n];\n\n/**\n * Scatter chart class, which extends the Chart class.\n */\nclass Scatter extends Chart {\n /**\n * Constructs a new Scatter instance.\n * @param {Object} opts - Configuration object for the scatter chart.\n */\n constructor(opts) {\n super(opts);\n\n // load in arguments from config object\n // this.data = opts.data;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 50, left: 100 };\n this.colorVar = opts.colorVar;\n this.roughness = roughCeiling({ roughness: opts.roughness });\n this.highlight = opts.highlight;\n this.highlightLabel = opts.highlightLabel || \"xy\";\n // this.radius = opts.radius || 8;\n this.radiusExtent = opts.radiusExtent || [5, 20];\n this.radius = opts.radius || 20;\n this.axisStrokeWidth = opts.axisStrokeWidth || 0.4;\n this.axisRoughness = opts.axisRoughness || 0.9;\n this.curbZero = opts.curbZero === true;\n this.innerStrokeWidth = opts.innerStrokeWidth || 1;\n this.stroke = opts.stroke || \"black\";\n this.fillWeight = opts.fillWeight || 0.85;\n this.colors = opts.colors || defaultColors;\n this.strokeWidth = opts.strokeWidth || 1;\n this.axisFontSize = opts.axisFontSize;\n this.x = this.dataFormat === \"object\" ? \"x\" : opts.x;\n this.y = this.dataFormat === \"object\" ? \"y\" : opts.y;\n this.xValueFormat = opts.xValueFormat;\n this.yValueFormat = opts.yValueFormat;\n this.xLabel = opts.xLabel || \"\";\n this.yLabel = opts.yLabel || \"\";\n this.labelFontSize = opts.labelFontSize || \"1rem\";\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n this.radiusScale;\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n window.addEventListener(\"resize\", this.resizeHandler.bind(this));\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n // if (opts.title !== \"undefined\") {\n // this.setTitle(opts.title);\n // }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n this.colors = opts.colors || this.colors;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // add this to abstract base\n resolveData(data) {\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n this.drawFromObject();\n };\n }\n }\n\n addScaleLine() {\n let dataExtent;\n if (this.dataFormat !== \"file\") {\n dataExtent = allDataExtent(this.data);\n } else {\n const extents = this.dataSources.map((key) =>\n extent(this.data, (d) => +d[key])\n );\n const dataMin = min(extents, (d) => d[0]);\n const dataMax = max(extents, (d) => d[1]);\n dataExtent = [dataMin, dataMax];\n }\n // get value domains and pad axes by 5%\n // if this.x is undefined, use index for x\n let xExtent;\n if (this.x === undefined) {\n // get length of longest array\n const keys = Object.keys(this.data);\n const lengths = keys.map((key) => this.data[key].length);\n const maxLen = max(lengths);\n // Need to make xScale, when this.x is given, ordinal.\n xExtent =\n this.dataFormat === \"file\" ? [0, this.data.length] : [0, maxLen];\n } else {\n xExtent = extent(this.x);\n }\n\n const yExtent = dataExtent;\n\n const yRange = yExtent[1] - yExtent[0];\n\n this.xScale =\n this.x === undefined\n ? scalePoint()\n .range([0, this.width])\n .domain([...Array(xExtent[1]).keys()])\n : scalePoint().range([0, this.width]).domain(this.x);\n\n this.yScale = scaleLinear()\n .range([this.height, 0])\n .domain([0, yExtent[1] + yRange * 0.05]);\n }\n\n addScales() {\n // get value domains and pad axes by 5%\n const xExtent =\n this.dataFormat === \"file\"\n ? extent(this.data, (d) => +d[this.x])\n : extent(this.data[this.x]);\n const xRange = xExtent[1] - xExtent[0];\n const yExtent =\n this.dataFormat === \"file\"\n ? extent(this.data, (d) => +d[this.y])\n : extent(this.data[this.y]);\n const yRange = yExtent[1] - yExtent[0];\n // todo: why use xRange?\n // todo: why use yRange?\n\n const colorExtent =\n this.dataFormat === \"file\"\n ? extent(this.data, (d) => d[this.colorVar])\n : [1, 1];\n\n if (this.dataFormat === \"file\") {\n const radiusExtent = extent(this.data, (d) => +d[this.radius]);\n const radiusMax = Math.min(this.width, this.height) / 2 / 2;\n this.radiusScale = scaleLinear()\n .range([8, radiusMax])\n .domain(radiusExtent);\n } else {\n this.radiusScale = scaleLinear()\n .domain([0, 20])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n }\n\n // force zero baseline if all data is positive\n if (this.curbZero === true) {\n if (yExtent[0] > 0) {\n yExtent[0] = 0;\n }\n if (xExtent[0] > 0) {\n xExtent[0] = 0;\n }\n }\n\n this.xScale = scaleLinear()\n .range([0, this.width])\n .domain([xExtent[0] - xRange * 0.05, xExtent[1] + xRange * 0.05]);\n\n this.yScale = scaleLinear()\n .range([this.height, 0])\n .domain([yExtent[0] - yRange * 0.05, yExtent[1] + yRange * 0.05]);\n\n this.colorScale = scaleOrdinal().range(this.colors).domain(colorExtent);\n }\n\n /**\n * Create x and y labels for chart.\n */\n addLabels() {\n // xLabel\n if (this.xLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", this.height + this.margin.bottom / 1.3)\n .attr(\"dx\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.xLabel);\n }\n // yLabel\n if (this.yLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"transform\", \"rotate(-90)\")\n .attr(\"y\", 0 - this.margin.left / 2)\n .attr(\"x\", 0 - this.height / 2)\n .attr(\"dy\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.yLabel);\n }\n }\n\n /**\n * Create x and y axes for chart.\n */\n addAxes() {\n const xAxis = axisBottom(this.xScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.xValueFormat ? format(this.xValueFormat)(d) : d;\n });\n\n const yAxis = axisLeft(this.yScale)\n .tickSize(0)\n .tickFormat((d) => {\n return this.yValueFormat ? format(this.yValueFormat)(d) : d;\n });\n\n // x-axis\n this.svg\n .append(\"g\")\n .attr(\"transform\", \"translate(0,\" + this.height + \")\")\n .call(xAxis)\n .attr(\"class\", `xAxis${this.graphClass}`)\n .selectAll(\"text\")\n .attr(\"transform\", \"translate(-10, 0)rotate(-45)\")\n .style(\"text-anchor\", \"end\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n );\n\n // y-axis\n this.svg\n .append(\"g\")\n .call(yAxis)\n .attr(\"class\", `yAxis${this.graphClass}`)\n .selectAll(\"text\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n );\n\n // hide original axes\n selectAll(\"path.domain\").attr(\"stroke\", \"transparent\");\n\n selectAll(\"g.tick\").style(\"opacity\", 1);\n }\n\n makeAxesRough(roughSvg, rcAxis) {\n const xAxisClass = `xAxis${this.graphClass}`;\n const yAxisClass = `yAxis${this.graphClass}`;\n const roughXAxisClass = `rough-${xAxisClass}`;\n const roughYAxisClass = `rough-${yAxisClass}`;\n\n select(`.${xAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughXAxis = rcAxis.path(pathD, {\n stroke: \"black\",\n fillStyle: \"hachure\",\n });\n roughXAxis.setAttribute(\"class\", roughXAxisClass);\n roughSvg.appendChild(roughXAxis);\n });\n selectAll(`.${roughXAxisClass}`).attr(\n \"transform\",\n `translate(0, ${this.height})`\n );\n\n select(`.${yAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughYAxis = rcAxis.path(pathD, {\n stroke: \"black\",\n fillStyle: \"hachure\",\n });\n roughYAxis.setAttribute(\"class\", roughYAxisClass);\n roughSvg.appendChild(roughYAxis);\n });\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 2)\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(20, Math.min(this.width, this.height) / 4)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n // const that = this;\n // add highlight helper dom nodes\n const circles = selectAll(this.interactionG)\n .data(this.dataFormat === \"file\" ? this.data : this.data.x)\n .append(\"circle\")\n .attr(\"cx\", (d, i) => {\n // return 5;\n return this.dataFormat === \"file\"\n ? this.xScale(+d[this.x])\n : this.xScale(+this.data[this.x][i]);\n })\n .attr(\"cy\", (d, i) => {\n return this.dataFormat === \"file\"\n ? this.yScale(+d[this.y])\n : this.yScale(+this.data[this.y][i]);\n });\n\n if (this.dataFormat === \"file\") {\n circles\n .attr(\"r\", (d) =>\n typeof this.radius === \"number\"\n ? this.radius * 0.7\n : this.radiusScale(+d[this.radius]) * 0.6\n )\n .attr(\"fill\", \"transparent\");\n } else {\n circles\n .attr(\"r\", (d, i) => {\n const nodeRadius = this.data[this.radius][i];\n return typeof this.radius === \"number\"\n ? this.radius * 0.7\n : this.radiusScale(nodeRadius);\n })\n .attr(\"fill\", \"transparent\");\n }\n\n // create tooltip\n let Tooltip = select(this.el)\n .append(\"div\")\n .style(\"opacity\", 0)\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"background-color\", \"white\")\n .style(\"border\", \"solid\")\n .style(\"border-width\", \"1px\")\n .style(\"border-radius\", \"5px\")\n .style(\"padding\", \"3px\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"pointer-events\", \"none\");\n\n // event functions\n let mouseover = function (d) {\n Tooltip.style(\"opacity\", 1);\n };\n\n const that = this;\n let thisColor;\n\n let mousemove = function (d) {\n const attrX = select(this).attr(\"attrX\");\n const attrY = select(this).attr(\"attrY\");\n const attrHighlightLabel = select(this).attr(\"attrHighlightLabel\");\n const mousePos = mouse(this);\n // get size of enclosing div\n Tooltip.html(\n that.highlightLabel === \"xy\"\n ? `x: ${attrX}
y: ${attrY}`\n : `${attrHighlightLabel}`\n )\n .attr(\"class\", function (d) {})\n .style(\n \"transform\",\n `translate(${mousePos[0] + that.margin.left}px, \n ${\n mousePos[1] -\n (that.height + that.margin.top + that.margin.bottom / 2)\n }px)`\n );\n };\n let mouseleave = function (d) {\n Tooltip.style(\"opacity\", 0);\n };\n\n // d3 event handlers\n selectAll(this.interactionG).on(\"mouseover\", function () {\n mouseover();\n thisColor = select(this).selectAll(\"path\").style(\"stroke\");\n that.highlight === undefined\n ? select(this).selectAll(\"path:nth-child(1)\").style(\"opacity\", 0.4)\n : select(this)\n .selectAll(\"path:nth-child(1)\")\n .style(\"stroke\", that.highlight);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth + 1.2);\n });\n\n selectAll(this.interactionG).on(\"mouseout\", function () {\n mouseleave();\n select(this).selectAll(\"path\").style(\"opacity\", 1);\n\n select(this).selectAll(\"path:nth-child(1)\").style(\"stroke\", thisColor);\n // highlight stroke back to its color\n select(this).selectAll(\"path:nth-child(2)\").style(\"stroke\", that.stroke);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth);\n });\n\n selectAll(this.interactionG).on(\"mousemove\", mousemove);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.axisStrokeWidth,\n roughness: this.axisRoughness,\n },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n // fill: this.color,\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n strokeWidth: this.innerStrokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n const that = this;\n this.radiusScale = scaleLinear()\n .domain([0, 20])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n\n let radiusScale;\n let roughnessScale;\n\n if (typeof this.radius === \"number\") {\n radiusScale = scaleLinear()\n .domain([0, 1])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n } else {\n const dataMin = min(this.data[this.radius]);\n const dataMax = max(this.data[this.radius]);\n // Create a scale based on data's min and max values\n radiusScale = scaleLinear()\n .domain([dataMin, dataMax])\n .range([this.radiusExtent[0], this.radiusExtent[1]]);\n }\n\n // set default color\n if (typeof this.colors === \"string\") this.colors = this.colors;\n if (this.colors === undefined) this.colors = defaultColors[0];\n\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n\n // Add scatterplot\n this.data.x.forEach((d, i) => {\n const nodeRadius =\n typeof that.radius === \"number\"\n ? that.radius\n : radiusScale(+this.data[that.radius][i]);\n const node = this.rc.circle(\n this.xScale(+d),\n this.yScale(+this.data[this.y][i]),\n nodeRadius,\n {\n fill:\n typeof this.colors === \"string\"\n ? this.colors\n : this.colors.length === 1\n ? this.colors[0]\n : this.colors[i],\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n }\n );\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", d);\n roughNode.setAttribute(\"attrY\", this.data[this.y][i]);\n roughNode.setAttribute(\n \"attrHighlightLabel\",\n this.data[this.highlightLabel]\n );\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n }\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n // set default colors\n if (this.colors === undefined) this.colors = defaultColors;\n\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n\n // Add scatterplot\n this.data.forEach((d, i) => {\n const node = this.rc.circle(\n this.xScale(+d[this.x]),\n this.yScale(+d[this.y]),\n typeof this.radius === \"number\"\n ? this.radius\n : this.radiusScale(+d[this.radius]),\n {\n fill:\n this.colorVar === undefined\n ? this.colors[0]\n : this.colorScale(d[this.colorVar]),\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n }\n );\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", d[this.x]);\n roughNode.setAttribute(\"attrY\", d[this.y]);\n roughNode.setAttribute(\"attrHighlightLabel\", d[this.highlightLabel]);\n });\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n }\n}\n\nexport default Scatter;\n" }, { "path": "src/StackedBar.js", "content": "import { max } from \"d3-array\";\nimport { axisBottom, axisLeft } from \"d3-axis\";\nimport { csv, tsv } from \"d3-fetch\";\nimport { scaleBand, scaleLinear, scaleOrdinal } from \"d3-scale\";\nimport { mouse, select, selectAll } from \"d3-selection\";\nimport rough from \"roughjs/bundled/rough.esm.js\";\nimport Chart from \"./Chart\";\nimport { colors } from \"./utils/colors\";\nimport { roughCeiling } from \"./utils/roughCeiling\";\n\n/**\n * StackedBar chart class, which extends the Chart class.\n */\nclass StackedBar extends Chart {\n /**\n * Constructs a new StackedBar instance.\n * @param {Object} opts - Configuration object for the stacked bar chart.\n */\n constructor(opts) {\n super(opts);\n\n // load in arguments from config object\n this.data = opts.data;\n this.margin = opts.margin || { top: 50, right: 20, bottom: 70, left: 100 };\n this.color = opts.color || \"red\";\n this.highlight = opts.highlight || \"coral\";\n this.roughness = roughCeiling({ roughness: opts.roughness });\n this.stroke = opts.stroke || \"black\";\n this.strokeWidth = opts.strokeWidth || 1;\n this.axisStrokeWidth = opts.axisStrokeWidth || 0.5;\n this.axisRoughness = opts.axisRoughness || 0.5;\n this.innerStrokeWidth = opts.innerStrokeWidth || 1;\n this.fillWeight = opts.fillWeight || 0.5;\n this.axisFontSize = opts.axisFontSize;\n this.labels = opts.labels;\n this.values = opts.values;\n this.stackColorMapping = {};\n this.padding = opts.padding || 0.1;\n this.xLabel = opts.xLabel || \"\";\n this.yLabel = opts.yLabel || \"\";\n this.labelFontSize = opts.labelFontSize || \"1rem\";\n this.responsive = true;\n this.boundRedraw = this.redraw.bind(this, opts);\n // new width\n this.initChartValues(opts);\n // resolve font\n this.resolveFont();\n // create the chart\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n if (opts.title !== \"undefined\") this.setTitle(opts.title);\n window.addEventListener(\"resize\", this.resizeHandler.bind(this));\n }\n\n /**\n * Handles window resize to redraw chart if responsive.\n */\n resizeHandler() {\n if (this.responsive) {\n this.boundRedraw();\n }\n }\n\n /**\n * Removes SVG elements and tooltips associated with the chart.\n */\n remove() {\n select(this.el).select(\"svg\").remove();\n }\n\n /**\n * Redraws the bar chart with updated options.\n * @param {Object} opts - Updated configuration object for the bar chart.\n */\n redraw(opts) {\n // 1. Remove the current SVG associated with the chart.\n this.remove();\n\n // 2. Recalculate the size of the container.\n this.initChartValues(opts);\n\n // 3. Redraw everything.\n this.resolveFont();\n this.drawChart = this.resolveData(opts.data);\n this.drawChart();\n\n if (opts.title !== \"undefined\") {\n this.setTitle(opts.title);\n }\n }\n\n /**\n * Initialize the chart with default attributes.\n * @param {Object} opts - Configuration object for the chart.\n */\n initChartValues(opts) {\n this.roughness = opts.roughness || this.roughness;\n this.stroke = opts.stroke || this.stroke;\n this.strokeWidth = opts.strokeWidth || this.strokeWidth;\n this.axisStrokeWidth = opts.axisStrokeWidth || this.axisStrokeWidth;\n this.axisRoughness = opts.axisRoughness || this.axisRoughness;\n this.innerStrokeWidth = opts.innerStrokeWidth || this.innerStrokeWidth;\n this.fillWeight = opts.fillWeight || this.fillWeight;\n this.fillStyle = opts.fillStyle || this.fillStyle;\n const divDimensions = select(this.el).node().getBoundingClientRect();\n const width = divDimensions.width;\n const height = divDimensions.height;\n this.width = width - this.margin.left - this.margin.right;\n this.height = height - this.margin.top - this.margin.bottom;\n this.roughId = this.el + \"_svg\";\n this.graphClass = this.el.substring(1, this.el.length);\n this.interactionG = \"g.\" + this.graphClass;\n this.setSvg();\n }\n\n // Helper Method to get the Total Value of the Stack\n getTotal(d) {\n for (let x = 0; x < d.length; x++) {\n let t = 0;\n for (let i = 0; i < d.columns.length; ++i) {\n if (d.columns[i] !== this.labels) {\n t += d[x][d.columns[i]] = +d[x][d.columns[i]];\n }\n }\n d[x].total = t;\n }\n return d;\n }\n\n updateColorMapping(label) {\n if (!this.stackColorMapping[label]) {\n // If there isn't a color already mapped to the label then use the next color available\n this.stackColorMapping[label] =\n colors[Object.keys(this.stackColorMapping).length];\n }\n }\n\n // add this to abstract base\n resolveData(data) {\n if (typeof data === \"string\") {\n if (data.includes(\".csv\")) {\n return () => {\n csv(data).then((d) => {\n this.getTotal(d);\n this.data = d;\n this.drawFromFile();\n });\n };\n } else if (data.includes(\".tsv\")) {\n return () => {\n tsv(data).then((d) => {\n this.getTotal(d);\n this.data = d;\n this.drawFromFile();\n });\n };\n }\n } else {\n return () => {\n this.data = data;\n\n // reset total key (need in case resize)\n data = data.map((d) => {\n if (Object.keys(d).includes(\"total\")) {\n d[\"total\"] = 0;\n }\n return d;\n });\n\n for (let i = 0; i < data.length; ++i) {\n let t = 0;\n const keys = Object.keys(data[i]);\n keys.forEach((d) => {\n if (d !== this.labels && d !== \"total\") {\n // exclude \"total\" key from accumulating\n this.updateColorMapping(d);\n t += data[i][d];\n }\n });\n data[i].total = t;\n }\n\n this.drawFromObject();\n };\n }\n }\n\n addScales() {\n this.xScale = scaleBand()\n .rangeRound([0, this.width])\n .padding(this.padding)\n .domain(this.data.map((d) => d[this.labels]));\n\n this.yScale = scaleLinear()\n .rangeRound([this.height, 0])\n .domain([\n 0,\n max(this.data, (d) => {\n return d.total;\n }),\n ])\n .nice();\n\n // set the colors\n const keys =\n this.dataFormat === \"object\"\n ? this.data.map((d) => d[this.labels])\n : this.data.columns;\n this.zScale = scaleOrdinal()\n .range([\n \"#98abc5\",\n \"#8a89a6\",\n \"#7b6888\",\n \"#6b486b\",\n \"#a05d56\",\n \"#d0743c\",\n \"#ff8c00\",\n ])\n .domain(keys);\n }\n\n /**\n * Create x and y labels for chart.\n */\n addLabels() {\n // xLabel\n if (this.xLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", this.height + this.margin.bottom / 2)\n .attr(\"dx\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.xLabel);\n }\n // yLabel\n if (this.yLabel !== \"\") {\n this.svg\n .append(\"text\")\n .attr(\"transform\", \"rotate(-90)\")\n .attr(\"y\", 0 - this.margin.left / 1.4)\n .attr(\"x\", 0 - this.height / 2)\n .attr(\"dy\", \"1em\")\n .attr(\"class\", \"labelText\")\n .style(\"text-anchor\", \"middle\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.labelFontSize)\n .text(this.yLabel);\n }\n }\n\n /**\n * Create x and y axes for chart.\n */\n addAxes() {\n const xAxis = axisBottom(this.xScale).tickSize(0);\n\n // x-axis\n this.svg\n .append(\"g\")\n .attr(\"transform\", \"translate(0,\" + this.height + \")\")\n .call(xAxis)\n .attr(\"class\", `xAxis${this.graphClass}`)\n .selectAll(\"text\")\n .attr(\"transform\", \"translate(-10,0)rotate(-45)\")\n .style(\"text-anchor\", \"end\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.8, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n )\n .style(\"opacity\", 0.9);\n\n // y-axis\n const yAxis = axisLeft(this.yScale).tickSize(0);\n this.svg\n .append(\"g\")\n .call(yAxis)\n .attr(\"class\", `yAxis${this.graphClass}`)\n .selectAll(\"text\")\n .style(\"font-family\", this.fontFamily)\n .style(\n \"font-size\",\n this.axisFontSize === undefined\n ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem`\n : this.axisFontSize\n )\n .style(\"opacity\", 0.9);\n\n // hide original axes\n selectAll(\"path.domain\").attr(\"stroke\", \"transparent\");\n }\n\n makeAxesRough(roughSvg, rcAxis) {\n const xAxisClass = `xAxis${this.graphClass}`;\n const yAxisClass = `yAxis${this.graphClass}`;\n const roughXAxisClass = `rough-${xAxisClass}`;\n const roughYAxisClass = `rough-${yAxisClass}`;\n\n select(`.${xAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughXAxis = rcAxis.path(pathD, {\n fillStyle: \"hachure\",\n });\n roughXAxis.setAttribute(\"class\", roughXAxisClass);\n roughSvg.appendChild(roughXAxis);\n });\n selectAll(`.${roughXAxisClass}`).attr(\n \"transform\",\n `translate(0, ${this.height})`\n );\n\n select(`.${yAxisClass}`)\n .selectAll(\"path.domain\")\n .each(function (d, i) {\n const pathD = select(this).node().getAttribute(\"d\");\n const roughYAxis = rcAxis.path(pathD, {\n fillStyle: \"hachure\",\n });\n roughYAxis.setAttribute(\"class\", roughYAxisClass);\n roughSvg.appendChild(roughYAxis);\n });\n }\n\n /**\n * Set the chart title with the given title.\n * @param {string} title - The title for the chart.\n */\n setTitle(title) {\n this.svg\n .append(\"text\")\n .attr(\"x\", this.width / 2)\n .attr(\"y\", 0 - this.margin.top / 2)\n .attr(\"class\", \"title\")\n .attr(\"text-anchor\", \"middle\")\n .style(\n \"font-size\",\n this.titleFontSize === undefined\n ? `${Math.min(40, Math.min(this.width, this.height) / 5)}px`\n : this.titleFontSize\n )\n .style(\"font-family\", this.fontFamily)\n .style(\"opacity\", 0.8)\n .text(title);\n }\n\n /**\n * Add interaction elements to chart.\n */\n addInteraction() {\n selectAll(this.interactionG)\n // .data(this.data)\n // .append('rect')\n .each(function (d, i) {\n const attr = this[\"attributes\"];\n select(this)\n .append(\"rect\")\n .attr(\"x\", attr[\"x\"].value)\n .attr(\"y\", attr[\"y\"].value)\n .attr(\"width\", attr[\"width\"].value)\n .attr(\"height\", attr[\"height\"].value)\n .attr(\"fill\", \"transparent\");\n });\n\n // create tooltip\n const Tooltip = select(this.el)\n .append(\"div\")\n .style(\"opacity\", 0)\n .attr(\"class\", \"tooltip\")\n .style(\"position\", \"absolute\")\n .style(\"background-color\", \"white\")\n .style(\"border\", \"solid\")\n .style(\"border-width\", \"1px\")\n .style(\"border-radius\", \"5px\")\n .style(\"padding\", \"3px\")\n .style(\"font-family\", this.fontFamily)\n .style(\"font-size\", this.tooltipFontSize)\n .style(\"pointer-events\", \"none\");\n\n // event functions\n const mouseover = function (d) {\n Tooltip.style(\"opacity\", 1);\n };\n const that = this;\n let thisColor;\n\n let mousemove = function (d) {\n const attrX = select(this).attr(\"attrX\");\n const attrY = select(this).attr(\"attrY\");\n const mousePos = mouse(this);\n // get size of enclosing div\n Tooltip.html(`${attrX}: ${attrY}`)\n .style(\"opacity\", 0.95)\n .attr(\"class\", function (d) {})\n .style(\n \"transform\",\n `translate(${mousePos[0] + that.margin.left}px, \n ${\n mousePos[1] -\n (that.height + that.margin.top + that.margin.bottom / 2)\n }px)`\n );\n };\n const mouseleave = function (d) {\n Tooltip.style(\"opacity\", 0);\n };\n\n // d3 event handlers\n selectAll(this.interactionG).on(\"mouseover\", function () {\n mouseover();\n thisColor = select(this).selectAll(\"path\").style(\"stroke\");\n select(this).select(\"path\").style(\"stroke\", that.highlight);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth + 1.2);\n });\n\n selectAll(this.interactionG).on(\"mouseout\", function () {\n mouseleave();\n select(this).select(\"path\").style(\"stroke\", thisColor);\n select(this)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", that.strokeWidth);\n });\n\n selectAll(this.interactionG).on(\"mousemove\", mousemove);\n }\n\n /**\n * Draw rough SVG elements on chart.\n */\n initRoughObjects() {\n this.roughSvg = document.getElementById(this.roughId);\n this.rcAxis = rough.svg(this.roughSvg, {\n options: {\n strokeWidth: this.axisStrokeWidth,\n roughness: this.axisRoughness,\n },\n });\n this.rc = rough.svg(this.roughSvg, {\n options: {\n // fill: this.color,\n stroke: this.stroke === \"none\" ? undefined : this.stroke,\n strokeWidth: this.innerStrokeWidth,\n roughness: this.roughness,\n bowing: this.bowing,\n fillStyle: this.fillStyle,\n },\n });\n }\n\n // Helper Method to create the Stack\n stacking() {\n // Add Stackedbarplot\n this.data.forEach((d) => {\n const keys = Object.keys(d);\n let yStack = 0;\n keys.forEach((yValue, i) => {\n if (i > 0 && yValue !== \"total\") {\n yStack += parseInt(d[yValue], 10);\n const x = this.xScale(d[this.labels]);\n const y = this.yScale(yStack);\n const width = this.xScale.bandwidth();\n const height = this.height - this.yScale(+d[yValue]);\n const node = this.rc.rectangle(x, y, width, height, {\n fill: this.stackColorMapping[yValue] || this.colors[i],\n stroke: this.stackColorMapping[yValue] || this.colors[i],\n simplification: this.simplification,\n fillWeight: this.fillWeight,\n });\n const roughNode = this.roughSvg.appendChild(node);\n roughNode.setAttribute(\"class\", this.graphClass);\n roughNode.setAttribute(\"attrX\", d[this.labels]);\n roughNode.setAttribute(\"keyY\", yValue);\n roughNode.setAttribute(\"attrY\", +d[yValue]);\n // Set Attributes to access them later\n roughNode.setAttribute(\"x\", x);\n roughNode.setAttribute(\"y\", y);\n roughNode.setAttribute(\"width\", width);\n roughNode.setAttribute(\"height\", height);\n }\n });\n });\n }\n\n /**\n * Draw chart from object input.\n */\n drawFromObject() {\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n // Add Stackedbarplot\n this.stacking();\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n\n /**\n * Draw chart from file.\n */\n drawFromFile() {\n this.initRoughObjects();\n this.addScales();\n this.addAxes();\n this.makeAxesRough(this.roughSvg, this.rcAxis);\n this.addLabels();\n // Add Stackedbar\n this.stacking();\n\n selectAll(this.interactionG)\n .selectAll(\"path:nth-child(2)\")\n .style(\"stroke-width\", this.strokeWidth);\n // If desired, add interactivity\n if (this.interactive === true) {\n this.addInteraction();\n }\n } // draw\n}\n\nexport default StackedBar;\n" }, { "path": "src/index.html", "content": "\n\n\n\tParcel\n\n\n\t\n\t

main index

\n\n" }, { "path": "src/index.js", "content": "import Bar from \"./Bar\";\nimport BarH from \"./BarH\";\nimport Donut from \"./Donut\";\nimport Line from \"./Line\";\nimport Network from \"./Network\";\nimport Force from \"./Force\";\nimport Pie from \"./Pie\";\nimport Scatter from \"./Scatter\";\nimport StackedBar from \"./StackedBar\";\n\nexport { Bar, BarH, Donut, Line, Network, Force, Pie, Scatter, StackedBar };\n" }, { "path": "src/utils/addFonts.js", "content": "/* eslint-disable max-len*/\nexport const addFontGaegu = (parent) => {\n parent.append(\"defs\").append(\"style\").attr(\"type\", \"text/css\")\n .text(`@font-face {\n font-family: 'gaeguregular';\n src: url(data:application/font-woff2;charset=utf-8;base64,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) format('woff2'),\n 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yG6YyG6YyG6YyG4oRTdMZDdMZDdMZDdMZDdMZDc1kYScAVYMwmj1YeDD1LO2JREhU9Uhloe6VShAojxWgrGB9hiCDq/KvSr05qdWTlQE0XWKZb0w2i21iyKn2vYGny/6AS/+UUr17CzPsf+Tf+X5X3j2AY3z5XCilts8USsVivcNCkd/5hdqvySUZyZEj3/zFXl6dc22ZjzvCGjyV9yfJy62vY98+B/ENBmhLP+YEfE6gmSSSEYTu2cXm9jF5mMMVOyMPVNnS6Rj7IpThDejF4KXSW6Jn0fxcxk/TwCfILTRISjJoZDVSXDQzCMqZWKPK8TCDJFQgqQFiCxALQVKkc2MVwiagMFJXOD84tJzHM/pGS0jCeW54b4ui+0JLyw/r/Xmbm6YwqitIEy/eFQwVGlueYovfDbxu+T9hlgtndu0RdNo18weydD+abg81turDYXnqntEx28EHy+WTPPeCiL6m9OBNj9f4uXlSL7+mHmfTye+wexjh2JaVqgL/4hpayEIwbuBd8d4lPwhlAM+AHwgxj3gXozvAb4nxieBT8Z4HXg9xueBzxOdFZlMU2dF6KwInRWhsyJ0VoTOitBZETorQmdF6KwInRWhsyJ0VmzqrAidFWnUmmmJMgieBp6O8eZjZFpukeB7P41eC3gtxNdC4CFwEfj4pyQvptFlaWDIj0JHmgeS/5WHBkjCOOSPGaPEEUQXKafhVTK4QC5Pc242qfOKvLh/os1cK4sZXbMEkRMWzwRBWS6zztaGZe0LBF4WPT0tcry1VuJFXhkreZzDciVZaef4tnOfXXdkF38vZIJ9MkLMPTYr8Pxm3hFTxbW8UXvk0CMcqSe0CXYS9lq9c5r9hPkuBL0/5nEWaQ/hcZIQ6hbozzFpXBgpelFVA3EItLsCKQ6pZ2Q/FMTu0OflTl9UO0SEmhkuHxS/KGes6uzhsc5NpT7CdVflSeofJE5M/Bl3gbGZL8SfZ4Ax5PPElgyM4AngiVixdOB6jOdINSLGozQD99iHZCuWkT48QR9kpA8y0gcZ6YOM9EFG+iAjfZCRPshIH2SkDzLSBxnpa8pIH2SkLwq3omoN8efJoXIU3pdGK/D6YFHijyWtw6hXS0ph5cGffSjvVpcRGafPfNHdKhssZ3AJhDGc0C5wntGNgD3JtQtGViW0ZjT2fXxqijkRP3sHnCK11wwlAr1/BvfP4P4Z3D+D+2dw/wzun8H9M7h/BvfP4P4ZrMTg/pnm/TO4f4bev/djJSX2/dZyUV03kqqVdapcdhQ6vn7nWOIY/1dINlPxPfmI5Qm7iUGnroylcaM/nqZmvTI2wxG2J46JqpWf35lzC4VO43RdzPWYks0p79iFQtHRC5x3bFKb6Pb4b5peuO/y+9e59Ue3hPq/elHLe6ZzjZWLm9vnG8E+obD0y095DVKjeZnJJ77Bu4wFm/2v47sZZiRqvXM0zmfhc0h2EHmzfniz/qY368db+uHN+uHN+uHN+uHN+uHN+uHN+uHN+uHN+uHN+uHN+uHN+qk3Y25FXqzr06iqFdyiPAjAgwA8CMCDADwIwIMAPAjAgwA8CMCDADwIwIMAPAiaPAjAgyCWoUQcb/vUEpBgsY9LjBO36PYnBANpKLEGeGInXzbnD4yHXvnymWXRfeiJysMb+8y107P2eccqLedvf/2iwfbIF185+WvcUnj58mknLOb40uaVxTOb5z/ZKoQZPv/YR7f/aPPR2rUzi7e/V10qXZ/7+ttU39aYTfbP+SVQ9AcxRUM8G5W5jih1Is/bgWsdeN4OPG8HnrcDz9uB5+3A83bgeTvwvB143g48bweet6P5vB143g5avd2L1TporXZvxJ294M7eJnf2gjt7QZm94M5ecGcvuLMX3NkL7uwFd/aCO3vBnb3gzl5wZy/lDnsrygoFcEcII1wBrsR4k2tei9vx4lqtt1ttAC+I4UK2FPnVXiTmkRfmfGKIwZ4K1fJI09k/T+tpGEiOz1me1iXAWoqqKEhJXnNsn/cl7eL184reLnlWrpbNudLzjXLRLlZzvNpRv6Ct9pp5dbo+ykvr27EffYVxE1f4BtLd92Me3A9pJ1Jdg7YR28e1FKQJLgGXgN8PfBX4aozfC/zeGI9S4gjfBL5J7OAsItM4HR4E/Qeb9B8E/QdB/0HQfxD0H8QtDIL+g6D/IOg/CPoPgv6DoP8g6E+CXdgREGlogKSIePWFpjBXosySkI6aSCLmlICV8bj80cxEEfbBVFD/RiJjIXFaM5x+Q9O0PVlntl81vEK+PKKLi/vGajWSqalLlVVvfWUuI/R5fko33eK49vqXKqsFfb/hu91C7UJhVl0+bQxljKxkqu5m2WLzIlikSgKflATN0o2ZtaWVunhPuZLeOF1Z7Or1Dak2XbSzueV9E8KGM3WocHE1Vy0Fgvu+vzTAdQmiwPElK+LV9p3txKv8eejApzGvypSksDz7SVcgku00aJtu0jYN2qZB2zRomwZt06BtGrRNg7Zp0DYN2qZB2zRomwZt01S2m7K7v6UqNhlZn0lo4yS0cRLaOIk7mYQ2TkIbJ6GNk9DGSWjjJLRxEto4CW2cbGrjJLRxkkY5DladxaqzcSdj3y1wk/CJcI9kruWIe8khyslKCyfLkaUiaRk4SJJe7g+tp178xcq6v7ktlj97dVM4ezL/lsUKpblZ9TR7ftMYDCp+kDf1dKDMn7y+XDu/Huq22ZuoPzjfL9n1ku25nChx0tIjT08UvPMP9UmBYPZ76XObM4e5lNvvFm217GwcHG8bOr5pLZTDUtIYnjo88V7Ek6t3vs1bfIV5gBVinoyB5ERvci0xA8G5uFPRhte2+JoYX2sSPNcST4y1BHIEr3xKqsMRXgVejWPaoyQOOshMN3VrGvyfbvJ/GjczDf5Pg//T4P80+D8N/k+D/9Pg/zT4Pw3+T4P/0+D/NOX/NJad+pRUyCJ8DvhcjDeAN4AfbFF/gq8BXyP2jOgjiSkFknL5YGgzYBmmRqySRkxJGChAA0dp+GKMEr5HkSfeNB4XLGlIl8mOIg0XeNUua8V0blARRpRcLsn1GLX1nGgW12e0xnxR9afyHwiKvbWyGtozmpFSZaNsXzhNONuJDF3IuL08iSx5fX19OsEGsJyvfUUUq+9eEEVYUynTrTr5xcuPs4rIGvbnL3zpqSqLFAUBbXChITgbP5NWlpZrvHTmgndySXLdw40SL7QpaprIwId3gkSZPw1NeCuWgRIyNWJDV0nfCrLQAwJZIJAFYpV2g3LkEMBngM/E+D7g+4CvxqXlg8RuHqVBD+WtDt7qTd7q4K0O3urgrQ7e6uCtDt7q4K0O3urgrQ7e6uCtDt7qkd1UEinSyoms4gxLdM0fZqkd9UnAT7Jj8jt2lKgaNY59NP4nhWPyxiTtD9HfGuBRQlL92Z39n/VrGVVYfvxa+dGqU64/t2KWeoNJPtknpSQ11y3mNCMsSx2SvHFskTPYvuDSqZwnlaySoFpK9dknTrr5991Kfbm0rHdxppjbO7pQfnRrJTg8MX8PYrfrL5SrbXxF1TKCLMtcuyTylsNxbWBk1+eumTKnhpuNjeoEidVeYUqJCv83jAaiNL1aG+XEx8wCo9DXabwukEz6I2aZeGzAcks/gIusHQdrx8HacbB2HKwdBx5zsHYcrB0Ha8fB2nGwdhysHQdrxzWtHQdrx1Fr1zQBJCbQbzXzNHIDNlOgMUnHbk9hpJgWaEEu6ttRu9eW0VNss0NL3Bgxis0eLimokt+m2MgwGtm/kc9cvHD/hKp8/pq+slTi6udW6+ft4umNcXPxqWOVe7SllQXFVfzFSlA1PEkRHwr2tAnGvuVG1pyZLXdVOK5Svv7F5VNWRd960MjpxzKnXx31lXDz+trii6+/d7LOG/WpPK9mhPTgVN4oGX2S3H6zfMyFymmybnbzeYbG7u9wtxN/DaffzKVqjEt1wW3JtwnuA/eB19S7BQqCl4GXYzwqVtB8z27qgg1dsJu6YEMXbOiCDV2wwXYbumBDF2zogg1dsKELNnTBhi7Y0AWb6kLUC8/QsnRkrsZJPboSFVZplXUgFalGpBE1liTEBtEJmy2Nc38lCYLA7x3yxsQNWVYzvM5P6X6XbCsi51azzwtjc+ncfjlXNPOlnrA4opiKasp25oA4lPgtKSe4gcMr/+zX3n5o+0NBOuMUXru6qTfCK+VNV+niRUHsyvXoEHiWZMUZltSHX7nz9cRb/EvIPerMGtusIx2K2xcWU/yJGghoNk7rbSSPO0xfG7EKZPHKQAIpNQ+Dmoeb1DwMah4GNQ+DmodBzcOg5mFQ8zCoeRjUPAxqHgY1D4Oah0HNw6Am6aEcpuuRHIikakr8E7NbiaI6NY4PHodOjdN/G4BNwGnAM4DPAF4DvAP4EPA1QKxT49CpcapTpAMzdYve9xTue6p531O47ync9xTuewr3PYX7nsJ9T+G+p3DfU7jvKdz3FEMaP98AdEZtkAbuqYF7atA7Iv9uAk4DngF8BvAa4B3Ah4CvAeJ7auCeGnFeq3Bwe1FVkfbuosC90sc2By5Iiy4xlKSVePi88fJ4esgnyouEy+hLlCB4ibfKD944KJupT+YP+p1pe8gwTy5/ofHEC/Mbjyt22RNPlE6ultp48UN3Or+xL/+Me32VHTr/qlzyHzrPysb6zunC99m/3LjY6OPmcrXZfZ6/ulhWtSn/6tby02t5XryyLdTW1k2xaswtLdvOZEIx2e6wEV7bWn1lPf+jF1+9h0+rhfnPF6etcpDN/UbA0BmFl++YiRU+RIB4mHkvlrrlOFNQmIkoCl0LI/Vt2ry1FvfWHlnUdlC6HZRuB6XbQbp2ULodlG4HpdtB6XZQuh2Ubgel20Hp9ial20Hpdsr90diSjrZUxdqBLwJfBK7v9mOh4Yg74oI3KWNVDErulqwAxhQvdUQppI4Q8W6GWlOkwDr31/wbJ97iXd+xClVLH62vhF/nutSiUeS9fF5WcoLqWGIumxGyliEUL2xPc41zWt7LGVY3f7KwWB3vu/RyJ8f9Ics/J+QrlS7rHjuVkJ2+cnhy7NU36+axrRlF5jIIY+T5Rl3iVh45bWtb+bIja1xhEh41DH1x0yvkxJdfCB9mOFZn3mM/SnwLpMgxPxvzIcN0Uj4kmxUbCa6PmAHpxyvsGnRFa+qKhgU06IoGXSGOUoOuaNAVDbqiQVc06IoGXdGgKxp0RaORobYbwJLKcWQxR7PpH6/pfKWYCwrcSGMPT4o7bnfQJ9mmntg2+tfc8uSP5nVD6OrLOWU+U6IzPuqdv2Y/oc/kMMdaO7RdpEPb1TIdoZMLetSyjZ6WmJ2e6KllmD/y1HJL4G397ff7d1QLd2+c+1vLhrtP8AapH86sleRNZTrkuiflKs0Fvnon5P6wTWMK+KHpoUmWaZBui07z1MSQP4TEHjLHUhdDPpb7LlfevrHSUGs5ox4ojeVe05Ctfc67+sUa26jkx7KZ+YcdsVMo8H/KC/ahK+8+d7H0khGcm3eeuZzPq9ZShTUXf21j2Xhig6s3eq3tX6pyCD4QF5QTf5aoEKfIjrXSNUvImGW6d+maIxdyLRdMcsFsudBLLvSSC6SBE1BC9xJCEzP8XTz+f6L1PYiWCKQbsAeAcIxZAmwBzgCeBfw84HXAuwD8PfM7tEp4t6ZK/BYZemsOuzWLKkFLrFDcjQ9Y0h65h97OPbuJFLU0E3jCCViaCViaCViaCViaCViaCViaCViaCViaCViaCViaCViaiaalmYClmWitteZZUmdIsS3lVhr4KtwACR2apoROUWWT2cQ3pLQk3xMW1A3VkOa7fy8szi1qkpnaePmrOd63dHvtV65fKOWNzsKx1YH82dr/HrAs9x24eIHnZIX3zR6J4wTN6E3dPi/wfAI/WFk1JXB8Em+xskTWvnwnz/1pm4Q4gKHxH02oSDm0Wd2HcPkj/jBXGgpZEs+PU4tmZLk/5bJ2zTPMfnN7H4RKc168MH9QOmlkS3nOOvkol5GLr143rtU5A8L9ID/j5kvB29c4zuwJvvveqV8qfsEZWJ+vXL2B9Eg1P/5w8e0TxD986873Ei/z/x6ZzyLzRCxrsyGp6DmRdo6R0cyoojcGzoyBM2PgzBg4MwbOjIEzY+DMGDgzBs6MgTNj4MwYODPW5MwYODNGfcDYbiGqWc38CZseV8hpCkpDY6qA0bAMtVKJl2W7sFCszboSxyfkbMaS0vmFMBz3B61wedOrrc+M9YqZUHDPPHbSOnFlv3v7zXyXyIV2d8GR7b5M4iul9eUZxyt5tqYBgqy5sDhnGHsmVmvljam+nvFDY0p47NGyXNp47IeenuPa+QHLrXJZPALzzTvfa1vnt5DcPcquxXa8yuyjFu1eWBDyepI2pT9G3BxFd93Qo5iWK/TCcZoZkg7Do3GEt4e+Svi5j8ZefaBT/6ckIovwqJpDvcEeeIM9TW+wB9q/B2q9BzexB95gD7zBHniDPfAGe+AN9sAb7IE32ANvsAfeYE8zcvop8HLPbj2IrngcKx7Hisex4nGseBwrHseKx7Hicax4HCsex4rHseJxrHi8ueJxrHi8Wd+m9UCiGLFCVMZLdPgBaaxBO1rlMZrMEhmh0cFg3CCPxipJIKBFsxVtQ340O0EjiHLbugDZGDP2OD3t+nRwyCymz5zp3vmmNeMtWayQ1qeN0by1WvuX26u/9ktP5OoH/8EnF1nnH/E8n+O3b//CzPe3L03rpz/84esr77x47PaZ+vrSdjmD9CBXPTbZx62XHtuqyN5SzTo0mlfkUxeX525zUsYP6jn9C+d6J9bL29+eWS1vX2188Nyxm8fywmXOEcT5zaDy4LGdyRdY5n++Ur3+284Mu7RzIleo2NLcI0+PEv08jbzhB/wa8rFN5plYP0m4tk4sqBpVGAj1VVBfBfVVUF8F9VW8XwX1VVBfBfVVUF8F9VVQXwX11Sb1VVBfpfxUwc/sp8TLRHjUFBsptg3RuTSfKisbNeQrQ2PRsDFLa30woaSRRRry9L+MLiCe9vEHtFJkTCcS3zUUbbrHcr9Uv3hyWVccQ3DNSU7RukTXEvxCIEgFrV0Lp05wguu7ou5ZWQHcS4u3f2AXJg5O6bNzk7IyUS+2K7I6vbJW5aTw7TMIiPlU1lRqn13X1PDrUpdkHFqpC+Z2w945vW24vL25/WpeWlxpiNax7RVZnqxXJDnHMWtPXri5Y7303geNdlkEk/l2Ei+TOZ7XeZMnKcZR5mfYn2/1vnuJK93L9Oz61iK5UCQXPmYu0ikJ0v2fp07tIgh4AQS8QPh0lnabSdl3I9b3LfqmzO6EI+XhWfDwLHh4Fjw8Cx6eBQ/PgodnwcOz4OFZ8PAseHgWPDwLHp5t8vAseHiWdkxsfNJZakHsuKccpezE23pxXmfj6nKUhW3Almw0bckGbMkGbMkGbMkGbMkGbMkG1t2ALdmALdmALdmALdmALdmALdmIPv4P8DB/BohX2cIqW1hlC6tsYZUtrLKFVbawyhZW2cIqW1hlC6tsYZUtGkQ05yrP4t4eB/54jEckjIbVksQsEB1nmyPvxBoMlcejsSqfOPlIEm2OjF/RGC4eoUrSNo1BOwxDaVqvxDokpUuSaXoySyFkqH0pTSd409146bGZ17c30nlNkngejlwUOLmT75Q0mUWsmT1zVt5TqrkrvSo7tf+PXDO4/e/43tF9gT03FUpyR4ewuVXy3Kvsb8lD81slt9Slrh47RuZPvAHvwrkV3l1fLrMnnGOndnz1nl5R9udM1ZREOzezs7YUWHXvxidG2bUUSc4oHUVOzJl1rFd6bN+q77zJNZR8YElduuy9/HPBnjY5le4162d7fzTp7F06u7/QKUmclssm6mtfueTsy6mWJHTbplJuzvhcvfODxPf5JdiUb7TKd5KIczIK0nsghkRCh1o6CUk6S0tHmCuMAfAB5N/9gPsAjwKuAF4AfB7w64DfBHwdEI8wV5g/AXDHWTJD09U0XiMQ/BF84ggEfwSCPwLBH4Hgj0DwRyD4IxD8EQj+CAR/BII/0hT8EQj+yG5rNGomERcwXhlpjtjBM9AqtpDiIANCUifVNkSCdH4xm0l8nyvuW3cuveLPVmtevmgK/v75G/NPN9Tl5WrIlWZnUtWd6TMlo1sH46tOcfnY587vU9KazfIwSRNykdfzfmFzdcle+p2bl9a8ItfRbXgCQr6gsHkxXFSDzZkrD+/r1IP6FbmvK4q53odTKUEh9zE/s1tlk+OQoBDl5KRWT0rKpJvcaGkvjN/66VRjduMvIYnkCtaci6LPEt0/QEYTWTKARmuZZL9CFyHceNzo4XOcu3iqIdRXVo3tJxoyl4cd93s98+aZxSs7DdW1H+K7xzfn8g0pX2t4jhLyiqmv/3Zw6YACSeRuLj956cYxPl8e5uRCUXEyp1j7g7Vv31QNM28Xa+bODbW4Ml2xdeidcOP27+eeff3tffwTxlPHtaWtbRcy/A34xd/kYQ/Ze/6Wufy7NnqYXBiObPTDdCDiY1D9XircD//EdEizw0Pwjk+j4rLY0h4WW8Z89hEj+mlUhL63pXN6727nNMLvB35/GH3WaeCniT/Yjv3BCG616Qd68Muen9qOpO2WCg7BTwA/EZJ5m6TebPTAqQtNc4qoCpwFe9uS0wn37sghG5dhshlyLYsciibIuDoQTfkmyYh7whiFOo2WEq/b7NysXsyYQyn+8bNL4ZIuyToxoLLDFWb3Tbq8fGxnGRkTp/E9E6XSorr4lGKo7e3b13ytPBHKulpYqxdysq0aNdeUBOPcpR2Jm6r5MwYSZlfnqCmWl27Uzr9TXRzYeSz1Ro2X5U6JNINEPuFrOdJdl1ylsbGeq80lMvgLR81IPOm5m98PGueETlEkHaXIFn7rzseJr0IXDzP/IdbEA3FVxoz76J0tXDdbwnIfeP5TInIfMQeArwBfIdwtRD09oqUFaGkBWlqAyhWgpQVoaQFaWoCWFqClBWhpAVpagJYWoKWFppYWoKUFGpUVsLSGpbUwwsmcYKGlglZoaTcW4lI86ffV8FqLe39RlB7VzYUoM6YNeCFDtwRldIOOgI/G1RXCVr1ErzfrQ5APLerE08aSkU18wmmqNFqb0rTXX1TtLp/jOv89X27sN4rewkPVwN+piSwoLjiur/G8INRlWxyvTciiwBdu/JvEt4RO3U6pisudfpRTDb3il3N4G+/raYkTeMFYf0c1lTPT7urZc6bx8tNrebZwRcA/nMMRvj135zxf4E+TGaa26CZHSKW/PAWhTra0XWitZoaOBEPsQ1pDzERjMrSLZowaCGbpVHalj62xJHZN9nF6mWYXGZ331Ax8MBkH+OpDq1vS4ksX9mUdV1EnvPILm39+5oprHypce22zcn6rvP28tnfp1GrdcYyspiWXH/2SnquvZ7tKJ5byGTgEiD1/QxN6xsOODjevmWHmi5KYnDz1/LJ3/YUrvfbsgLU4EIj5gmtxvBXKW6/+qyfPf25Y7OzL27bBypVH85KiZwwolNDlVgszI9rm1jwnKIJp94qpWJ6/yFdAl4vsoVa7yBAzyLRU5DhygWu5MEQuDDV3VbhUBQ7RMdePmEOtbc0earQ+ZnZoEPsxw+N1hwaWfHjXbjarQnzLFEpHy4RnT4sIt3ZZ8y3Voplbdxt7My2BSGV3W2T0/mhcOMKLn0bjXBW6txAQ/22zQzvT0grfatnoQ+7z5K3o9bFbUUD6GPAzZKcVSYIGQtLZC6ONeZGA+UPwi0SYRtLlWLzInjuI4DRexipjcVmDbM6jG4BIjlSC5GWJrYXL9aOJzazF6mR0i2hcNhY7ISdqHCdDg3IvPx4UgrFibVGSoRc514WaEGumc+2yzPOZXinHiVLOWB0ICnZ5+3glLHKawgdWT3e7GIeun9UUW39QddTVFR5BEPnzVx/I1zO3b3OiVqhcNRfyFSsvS/f0LTZCXhaqa4vzheKCphqXd76tdvG8zAlql5yTV85YKxVzsWx+cbvyxhnZTmt5U/YCVyxF9vTKnb/hFL7MLLNzrfLXR6Srr0XcBsiFgZYLceWSyt+euOnboJY0smH8p5GAkVjoAPADZIziVvS7plDtaYmT7tpAyGyKRlVItFo8e6plfiO1+4fUARfggAtNB1yAAy7AARfggAvwDgU44AIccAEOuAAHXIADLsABF+CAC3DABeqACy3jvoUWT0HwEeAjLea6sNspjfDotiNznSSemlRAqDlG+k0qmLR3nGz2N8cr0bDZOBWoaEOwMBBZwBkSz41CkHotfcJVkwIdPRMua7kZ2zxYapc8mOATqzJphwrIc8xANbo7udSTRtnb5m2pI5flVj9nf6u8btUFZ2dWkQ05wwnwn6KkObbkbp01R61tq6gu5beWi5xiylyHoopqpyATebjzhTt/zJ3it8HI5oxFDx39JQmpQHky0dI/nmitD3fEjee7E3qUOS6Y4zaZ44I5LpjjgjkumOOCOS6Y44I5LpjjgjkumOOCOS6Y41LmuC1u3N1lVExwgc4n7faaKtGYC+3sT3HEg/jRNii2FI1Yl0a5da1n/ppmdHJcQp15+KUT5Y3+1WK94a+lFVJacGsvmBKfHT2yGJY4vo2Xw6LPG/ym2qU7vLL55rU10Tm1eOLlh8J0YAsqawXHFt4IprMib6+u/4XNinlB6dLgKjiwCTr2/p3vg1kvMg8xX4tpOh0b7AZep6N9Bv20pkijkH5EIf2w7f2IQvrxnn5EIf3wnP2IQvoRhfQjCulHFNKPKKQfUUh/MwrpRxTSv9u5bZrr/pbJyD0tQwF7WiIR8p6xWx8zk7iLfuocyDj+/K273b7+XUOMqLQ5Okn3vJDCEUviyubOBhKiguI0w6+zZM6MhCIGnTRKkh0yUdNmHGDQnVQJXrA1QcoF7rYl12fLvJwfCVV1pNfg+TYTcSUZphbaOIFt40nQwYsdmucL8LrdztNv/OvzihMub/lcfWVZWjcD7U3r0FLpkqBmOM33ToRCYbwgIK7p4yU7W7q0qk7PVTqKblfh9KS4urUuK7YQFItdqrS8viSuPOXbV8/pxsZb5tbp82F3RrZcT+cK03VlUstnzuUOrS3SWSSmkSjw60yd+cXdjFDabQZ2glCdPzlTUaSKRDlcBIeL4HARHC6Cw0VwuAgOF8HhIjhcBIeL4HARn1MEh4tNDhfB4SKtHPVitSLlFNljO3TrrlZ4zaiRRIb+UJQwuJmxyMvRuJHUWsACiyVlFtISp9lCQrWQFs6sLGmq1fmrpw0paQmCqnApp7coWTybFAVJUqXZ/fOyYnYFp7/Ae6ZK3BWnKF3Wgfybb3Budvs5V+Lnl2sl50tqRmhsrutdW0+Zi3s5/DUvUZ/z1p2vtul8wDxCcmVKu7m4oN6J1zm6A6dnFzsQYywJYZL0bT3MVBzKJHdDGWpreNgavmlreNgaHraGh63hsQwPW8PD1vCwNTxsDQ9bw8PW8LA1PGwNT23NqZYzDUhw0Ymfp2gA8zGddDgVfR6ubOFdW/G7HgD+APBTu/uPyeSsP+DTGIPUY6OmEalthKyu8Agh4BV2e1rT3BiNfP1yfGIAyedp+j7D6rQkSyteJKfXCdqmIoWXcrLAd4icJF1ylz19ZsQtleuFN0S5S5HahCzvWlAq5E5tHNkhL3I5UTGz+sRUNecenQg9pyq+nOnzunJ9HifJnXy3IJusdPPLO95sr//mc2+Fq56zPwhWn1z+z7nti1dOL8uOs1n+bs4uri86vflwvDfd7ft+uUv5K7k2HVbXt93yOxcKvruQ+YTz8p726gFRFsSNR7eV818q2kY8B13lHf4mc4z5s5j3G3RvIJkY62A2Ij5vQSWIKm21JPxbLdtBtug8OOV4AxxvNDneAMcbdFi/CjgAuJ+WZRvgeAMcb4DjDXC8AY43wPEGnachIyhblKukCLAeVVrXse56c911rLuOddex7jrWXce661h3HeuuY911rLuOddex7jrWXafrLmDldaxLZ8+TepyIN01mVG6nhpPKgR+V5snQGd1bGu0yn4qkhwQMdFeYhriTd+DPO1VZNjvkQq3hqrmB4X4nX2zUOD4p8rwiZhzVshBiEt+utHG85rtmYcY51Vi/GaoG3w5p4AVNdixNNjn2k77aL4gpQcznHaHDrK+enDEtr16tTM9vb0r3n9oQSm+e6/D3XbSdyi9te0unX36s2Ch08+r8Sf/asUv/ZiP/4obVY+ZDr5TS5DP/tGTf/q3N4j9AsnKVKfAaH8IlVZi/3J3YjFRYj3vb+m4Tg40CqsHwpzO5HlXiJlqMcXOgnmnxh0zLqS6kcDAcVeuGYZ+HYZ+HYZ+HIR7DYOUw7PMw7PMw7PMw7PMw7PMw7PMw7PNw0z4Pwz4PR9W6OCLxo84L9YB9CWNorM4OJKKdkS3brqc5XnGfkkfuvbL+hd+tc+WtK/PnHyrkS2c3y4jydkSxvL6Tf/n38/PB2oX9pz67U2NfvPys4Hn2Fz5QbPX61z/3SJ8lGFs3v3TG6JeM2z8or5vb710/ePPpD67Un92ueHMPkNnJO68krvE2fNYmuxTzY5yqGuHLUtwTlaPe50FaTiG9j7mm1zoIqhwEVQ7irw7i7w6CKgdBlYOgykFQ5SCochBUOQiqHARVDjapchBUOUjjkoMt/CAFGe1W9No8K8Jv4Yffsv/fis+KGIyvN3ef+ndn3ojUzEFq5ppSMwepmYPUzEFq5iA1c5CaOUjNHKRmDlIzB6mZg9TMQWrmIDVzVGrmsOI0qcnE89bNUyj+zjnsuCqbjzZ2ZqNUM6QMLmcGSJCfGSoTIaiM11g60NiXSNKxU1KsTUZJpJChUw3j4I9shn5QW9ycXZ4jYT4naJmcLiELQCzEdyJm7SzMGOc2/BvbTt6Sz/LJjQv5cP4fcxKXtaZ7t3+X+z2nFJYc14GjMDdONaq+4rm5sXsfLb7SiUg2EPkrlzdrnNgpWbpvK3Yur3mVzUt+UVraduSiaipLF3v4/8B39IZMgnn2zvf4Hf48kwe/t9nnWnNEmWSAcpQBmswYlZZZZpWqtdlSIiBzQltRH2KLMQA+oALYD7gP8CjgCuAFwOcBvw74TcDXabOJ9iG2mD+hLSv2Y7rBgnzUEURc5HWACZujqiHYHzbZH4L9Idgf4i9CsD8E+0OwPwT7Q7A/BPtDsD8E+0OwP6TsD398iLIKka9C5KsQ+Sr1K5uA04BnAJ8BvAZ4B/Ah4GuAWOSrEPlq8/SHI1jlCFY5glWOYJUjWOUIVjmCVY5glSNY5QhWOYJVjmCVI81VjmCVI9HYIz2WIGrnksC70qxU7B5JkIitih9ZFSOeVB4nfxcPQ8aWZkdypNL8Qs7eLG/vVI4szAeLbPXE9aXyI+V8uPjEWt4Ji5puB9WTHOfMPbzw5f9cMy/LheqiG9anV+c2X5W8QtC5MaTu9Xp682PZXFhpOLUE7xXHdaPUZ2YKhya3vnTz228+7iippP3k5750PHf6iZ200eOW2a/DXpV++aXHuz76rfVzv3dze6eAsKPo/ez/wluuxedYyVmY0BFWCtkC6b28f+e9xDf5DWaNOc/8Rav03S2IEZF4gIrC2XgeT2upK1RbCkvV3S0BLNlz6tA/mo+bvD5+NmgYQGpZj9768R2nUbmf9Iub7yIbvqP06afTmo0Gqx7G5+5g1R0aQLrkhCky6upHXZ3m5jU6OxHPVJIS6vhY1AiimwVI+JCJYgs4nGyCVK6IyNDOUDSqkaSZcOKbgsOnuvPOOd4fCXipOl9P+X1SJydqaTtLxqAQsZOTnDq6zSCfb/Tonpe3thtlXjAC36n38vlSng+rfGrP2myxKBfGigrZVczLfKGyePP8Ss7JFkc+L00vL6TJ5pDzP2vofsY4uFqxvm0cuvLuk+ri6nJWMVPmmJ+TeQ6xbLV4cdMJBnzbdCVtZX1JzbL/t2Z3qKXpGVMXRNHenuqVLp+XrdJcVL8K7vz7xBX+t2FL/rfdvcRRhEHqP7QzR6y3Hf50ZtmjqGKppVjUrPWTbHo6ih6moe7TUPdpqPs0LYptAk4DngF8BvAa4B3Ah4Cv0c1AVN2noe7T0Q51erpA3CZto21SEgQatCLZcmTRULQX78c6p0TTs0ZfW+IKOKjIm7f/or6xdHDSr/mnnbDr6tPa9GxVVnKFpe2w9s83fqN+rSjPzoz6wkitlq7sLOeXQmlp5/GHV9ib1cWC1/MJK+e8bnXE8EVPdrrCVLetOucX/NWZsF07eX3+xecNz/AKusP12GbY2PBrF3oEwysubhL+1O/8VeJdnkwJ7sT8GW3ZW948OGG0pco22lpTUuJZU6Wl+Ge1xG/WbmUo2hFFnj+ZBpUy0Tg4OWYBLrhCKsHkuJxkRK4ZNhrTy+iJN/Quebxa4JauOuTAvUSHZmpaSuCQufBiUHhoc64raDf+yetPlsY2Xp1WEl/ikfH23f6vO/9wsuzPWdWGJ/ePhMrKHHf16hcv/gwvSnKS36sqvG3JgsTLaZ3K6QeMm/g+X0Ls9cHuOR1iJJ8k0iAnCtRaMs/pluc1I6kyIVUmpMqEVJmQKhNSZUKqTEiVCakyIVUmpMqEVJmQKrMpVSakyqRS1Sylmi3VodZzDQvxOQd749LF3TMNov3fQ9HU/RA1NtGEBrEwcDWgqh8P/EX7bLOJP1Iszzty/1aw+VKxquc6OV5AXqHypBaum45c+uzm00uERnk9J5FWC8d98Ln/Y2F+I1QXNq+sPH/liYncoZWyaz0wf+4XFXfnocNd8/25/WdfPXl1+3U3rPYEhYxcmiwr6gDZB8MUeQF+Ymx3D3uJRrJxgBZZPToWFR/JQ+6Vp/pkTLdV4hFh3FvW9dN6deRpu5LxuqX1SWu4azms8FxRtm272xDMcnewYzVW9s+GspzTxE7B5mv56zef9tzn1r9R3pfmxc6dL/qH/H9+/h9XC8WVY5v7UrXHCufeNE5ee+Wzf284fGqe4yLbdZrx2r7LF5hHmIH4nk/FPimN11NRLlykU7fxY7RFe8NCsi8/3k0D35AgTDFGDeLgy82jiRKRmFfooSKRU6C/ID1jehTUdzk1092hlOYPLDe63WXXuMdYF81ex8oKqiGK7b6nlwou9yKX0lIFCLPcmRs2PclUJS9weD4tB7LDhYqpp4SqEahlba++8YjUa7t2tyB0urxm3ru1qpf+/isvXdlQSp97RF8pf1Nd3n5ka6HTCVW9c6VbWds+ZrGnzdpU3ZpnexTjxM4iX3t+5bxdyQr71hd5s+ZcPlkXOoL8ZEW6WmqoF4NaZuc/Gvc9dvnkssxF9v9dXkz8kFlhvN06nBYPZ2pMjXpqbXdsq1m6jA9loo3HcpR1g47RHEWWCnRpPN6dEFXvE0lIOi92d6nKLxSubXjrp6+tSmrHjODlPd4tz59YtafXH1/WLXVqtiKHGacueb7N5wYmc8OBI6pWT/4CX1mst7+uOZWtUDZ65W+GL5+snLr2zlUOsjVZLyfz1eWnHzOL+x9dq4TTVfy9sCgOh4PqcCM3GpiWIhUKF7npg4viW3bf5BN49tqdbyS+w59A5tbc+7W/ua+/E0l3nLV14lon7EYnmSkhJQ/YjU7IXifsRifsRifsRifsRifsRifsRmfTbnTCbnRSu9HZsh29s6W/3VpZ7m+J+O+e3NZUP9KhpqmuxTZ71JXoeE1aConHpmFMmgeWcZVs4jty2q1XgkZP8SHS7YDZ1XIpnvbHpvbNK9Jo0bfT1r2hMDE3JctTM2WBy7mexjnFSroE+2v7M9PhTKay4p9b1CqTRVn+l5pXXfGC7Pr1UM3J6iwCE6NWK6VU69IqX56tcHy+mOc5LxyWueLctDxA9XSdmUl8mSfbncIfq/WSmDHad1prKVTd7ZRGpdhkNNlOnTVJ8SrjFZ+GYtFEHH1uNp7eoMfF1ths4nNWSdg4e1L3jP33nyqeNtVvXlopN579N1Z+a2OpW+qwlq+fbPzqCb5t7NDxIekzN+fVM2+Mdb/ypmBX2XaEbEKHwM1ZP7y+vtF4CSa2XbC65GxK0gw5I6mNzZ28+s+/uNqtZyRyPsTmHS/htXmIhP/X3f5EtOfDi6s0iZbnS7Q08KZbOmE/1sALmd7drQtNP9bbEpX3thzi0ru7H5TKKzmbIoS8hpDXEPIaQl5DyGsIeQ0hryHkNYS8hpDXEPIaNuU1hLyGVF7D3RbVSLENOr43qqJRLjR3P4+Rc1gJO4jdT4JLQjxzGB3aFZ1WQHcfOHOuZtr5fjUjJr0h2HeeThgq1vpvb1ps/9XXNTGDSx2S8II2JChiafbb8COkc9fZV/Tc5dr8jcdXU6v/aO3K88rGsUDK2AGnp8q//0X/2ua+xY++/EIKgYfgOpGsxWexuLt+LEt3f+FBmuNytKZMrVXW5rKZLDlqTksc42zVc3sEd2wwJ1n+gfzqylooeEZVmzzmm3sqtfveed4Jaotm9cTKjKU89N7GCy987qGg4T31y6sF896Lb7x0+68gC/ydMvedtjKzb3f3mRbXZ+9p2VcasYslNc7odKyFFgFZoJVaGm8biLeNZrxtIN42IFAG4m0D8baBeNtAvG0g3jYQbxuItw3E2wbibQPxtkHj7dbjfhZa5mQWdus0sDG9u7vNyI6fbCnaXe3Hx48Rxsc7rSejnv5oHKnEQyNZ7vcIP/MXz2ymLXZorKK+YAtpgW+XhBclM91XnHWL5TSEYI9rI0/hPD/NCaRTyJav3FQ2tgOiYXZOEzgxV/z9t1e+tK/x8Zf/vkJ2l7h6hsgCTJYNWViBLJxbVVbfiM5uS7yf+ErbDcj6MzGtB2htIzquITrwhJ6Z19205QlIQwLvT0A3EtCNBHQjAd1IQDcS0I0EdCMB3UhANxLQjURTNxLQjQTVjR87eU/P3u3k0R177mhzDic6quYDztHFfMHn9V9218qXIddKWq2urupCzuxLGaeeOJ34z0j4dDOcLgvyb3mPN97kBalLym3ubOVEd8A89cILtK/8/u1PuD++4yCcf2c3T2unz9reIjrtLUX+9paDuP+/zn+KMnOWdMR2z3/qBZ16Qade0KkXdOoFnXpBp17QqRd06gWdekGnXtCpF3TqbdKpF3Tq/Yk9SUK8I4keYVIh5/1x35Fyqry4NCP54YX5P86ny6fWEBitv8R26be/Qc8/4PlOztMzHeRwgy65O0NqGRcZO/FKogBNWiAnTpKmddQbotso4hNm6dbzeKITsXX066SQiX0jm7im+Zrr6rmCpu6dO73qNcpdqjPQO3YgfHuy0KfaVgauUhQ551d4Qw/W1tYLFdncM5EPyoHbbZtvy12qyylBxnjyhPfcUxs9jpJyNmr5xy+c9mtsZebBJ4qi5zv88/9VP7sp8daBtZNXnaLvZcScP1ucf5jW9dXEImLtIp7jr2NuzsQeMcq6oy5oNATARv3jsSgDH4NFGGtaBHKExxgswhj+aAwWYQwWYQwWYQwWYQwWYQwWYQwWYQwWYQwWYWz39PbFllPb6lF+VAfP6+B5HTyvg+d18LwOntfB8zp4XgfP6+B5HTyvg+f1Js/r4Hk9Os245dz3aISQzLakmToNI8davApMLvSFi48GJ82b8nAbAnE2irabzbtSXyIxHm2SSpK4khRdtCLLtSuFxfoNt7ZmuopGZiTbRQEck13f6jdUWWjjruXte8e9stcTwCsF9WDxd8UO55hz/8Y8V95es6q9Dy7U94wW2KS1PxCnDj9weFJgme2bbqH62OcfrK7qxyQ1JWVyzu2/nNmjT1eDS6c+Psd69XVidy4yWsJKjIFX/7K1oqaSipoabT0cogFAtK+kJ9p62MP8J0C89bAHNqmHzv1MAJYAW4AzgGcBPw94HfAuAH/P/A6gk9RunbtHnDlgl4PPccAuB+xywC4H7HLALgfscsAuB+xywC4H7HKa7HLALieqid49UJ8MaBnUpLtRoSspGNF5tuSc22zCCt66Yj5z9US5Ae157lJ1to+vzDiOc3htyTDZzScelsuPLIgpzfhobTM989wjm19Z1QOjwUoIE0NVtOdONdaKqzulrtkFkR2kuqwkCvxbEJwNVt/dp91LdSBgZneDHwMCY4TkawxmmSA6B+NoGI28tZ6en2g54ao1wEq0RN6JlvO1Ey1ReHH3Y7B2y9jd/kgvSE6wH4TeD0LvB6H3g9D7Qej9IPR+EHo/CL0fhN4PQu8Hofc3Cb0fhN5P9aI5vFdsGYxqnvtZbKmvFlt9clSr1OPjZfRsJipeh6zQMuxZGjVoa8Qfizd9wucMNXeLEXMLxSJvGAex6eQHQi/FSCmemtFP3CC1as1y1eDNY+vXOFlOJER8jNohnl/5e/Wj1SCjvXhhe0ey4KwVozpkNXrrQ/DHXhgqvNBW+j9fd4XZamHt8Vlv32xJDRrj+h7t/PZLUpeo7+3P8Ob0j35rOZPfVywObz+3HDy3JOsdRk+0T//Cna8kdri/RMA5s3vK6J54/6DBjEaVHXLyEilpzbZ0vUZIt+tWlEdVb/10mgzNmZ74fKchmlFVmkNPNrs7J0xP4qLD4oTK0Vga2WOT2LYPbmwG/iMz/vpcXtP8cDbfOGVXV4ozfZuvXRZzR2eDX9x5/j1R9t9d2t74R34GSVj17InN4MS6VS2Ynap56MHHq851Z266mlO73OK8urReDkxFfvEXnxfzIvudy8v1ebPSK4tSJhvPHvbf+X+4V/g/Zh5g/kVsh0gpjNoijdgiLarur9PBM6JWA1StBFCOxfOyYYQ3q1cDLbNNQUtxMWiZc1rflVZaXOzZLS42J8Z74kijp0V3yelCCnUBq3RDR3RuUDTUCEEnvRU3OtpWN8jMBz1Qrs7iM0ByMvU3VBmruPTwJWKpaqxPzwJszkGBB3pWJ0OlzYOaEGHcvCS4hWI3GcxA7puzjA6Oy2nmclHWh5BE93BylxJYapfiqp0Zx9Wd0uqcns4WGoXQJHFnR30xyKa1KveJBJ3JX7n6pKfu7akeMdmsNmbb+/Ny9dIftIu84Jr0q0XIN0j8jbc9LetdqqgautqpdKkrHj8QeGKnPjGIrFuiIxyQfeb2XOI89yfMIeYUm2r1IBnCtQyTJVxbBN8I17Yh1M09E4NRF3AQGjKI3HmQqQD2A+4DPAq4AngB8HnArwN+E/D15qnL/w7In9ChgI/pDMZiZE7JNrTVnzCnq7GrfqRlW8VqyyAqmSq+L1K++6B890H57sN93gfluw/Kdx+U7z4o331QvvugfPdB+e6D8t0H5buvqXz3Qfnuo8pHVn4IKz909zDr6GAtPTp/CzIRqSRp/oLHpLJUobvhhKid14z8ovQECjqepEU+WjZBNBEX/BOn+LZOMm3PyR3WP375keDKEXG0FBSU1I3ty/r8hjmatwSxU1o8815DUq1yoailtp5/fUYpTMy4pql0n9DzuXX3RO0T1sxXLP3EpYsewo5vqY5Bxv9zxkweUWz59Yf/9LGA7bd5x88rRfF0JdGlK+Nzq76k3XfqmFEey3Nd/sADzoIbntmaFM3cqsT+D2pOyPAZ9fwZZbxeTXUMNmrh8QKZ9WK4xDz/JnM0nvf5u8bZ+8mF/kjhV+l2m584ncuKRyYZ2j6gsWQSsWSyGUsmEUsmYSOSsIhJyEcSsWQSsWQSsWQSsWQSsWQSsWSSIZvmvgEgsWSyZcA4uRuyEnftMlb8rUN3ez0/Oby+cOvuCXsLrfORzRJX86y1qAGbjFKs5sgX60+xZESy0vR9Bh0RI18V1DTdSAES8zlT0lISJ3JySuWD1dyRzSVJSCGxCGwdyRbPtSW4NpHUELr6LZ/jcyqRkEKplLHK2RMXTE4QO3yPd9dWdEEd1vKKXRkZSC6zPX4x51ze+rfG1IKeKz64HS73Gv0d3NzGepeoiPoD2w2/9O4NeTKvj/QIVi/Z7nHuemF+/SqxAW8wLnsp8YewoSXmD2L/J1H/R3m1O8tqQb0sqJcF9bKgXhbUy4J6WVAvC+plQb2QEwI+BHwNEKuXBfWyqK6LWC3ihRjlECL4Ljb5LoLvIvgugu8i+C6C7yL4LoLvIvgugu8i+C6C7yL4Lu7mENZu8tjaR4rw3eplnKWBl0Q3E3fPy4u2oEZfCRQf7ko8K3uRcyuGabu+1j4pK3wSjpIMb7i+niUnAsuiauYSXxFkx+NVL63mxa7b/0w0Nup6p+jl8ylJldwVScopzlopPDFdrJfGA5Xh7mzfPsGeSXxAq7gMG93SeDQWmCY3xTnxwTD0dOlo19/Y3VaHkWVto6jnB3LivLBPktZuf08L87alOeHS1V41166oIkc6M0qKlx0r05tYsyXR7s2FtqUqP3pVcT9/+fYHfIem6oZcWPJLyvLJWV8xa+UurfaQH2Tehq5/8c4fJnL8K8y9zGu758yaVGmreA3pNOdyjLGksNTXlBINUqJBSjQ8nQYp0SAlGqREg5RokBINUqJBSjRIiQYp0ZpSokFKNGqEtZYYS2s5n11r2RnvNc/qJ/OYERMNysiIhXQ6lvyPL41GR19myNe5EGoSn0zbANHhUgZy++GZjSljIThG5/DF0M6qgpiUlEyPrQWyqqTkXHB52T8xo9ryR7xfzLcFfmF9Ux++IUhhdet0qN7j5pWxckGUDSll7BzI7Uw/914YKOXJqp7jGycvnJjp1xojS+fc4g+ttapVM9Ka3HlSsPss3ugOVpdzC6D5u4zAnuMvM/fsfudBvtkDSFHiU/qmcC0F+qZA3xTomwJ9U6BvCvRNgb4p0DcF+qboydRfa36F0XeAfD/+CqPU33ISCKdnaAMtKiFBAXQ68E3CnFH2HKdqXRwnKR1EsHi5QynYeW8gJZDiBMd1qrKYURTD5jfkyX1LVm5hYUrLXzi1Knnb48Zet3r+zZPKYqMuc4vbO6bsbpcVlsrY99qKCZF5kmG8XV42D5iIPW48IBHtN/fpoJUfNwGb9S5qgelIJd1kHvV94okZ2kYbMZBMthU9PQMDK3aK7k5NH6+UUmUb/lcysj6eQuy1qo9ag07gkDEtWbTVjCwIotIumHyg255fsLJd9oAbuLm6EiyeWprZXgz1dklkWY7byo0cfLRi7wuKk3Im21l4WUrL5v5CB1+eGbP5qYMrRtntn786F3YIXf6+6WCfdWYptIty8aF7vcbKVnmtEuRXvCBDNmvmcvKXtYmSlwuXCioM9wLfKTsDHSTGfuPOXyR87nvIU9/bPTc1c7fv3BHvWO74iaJ+c9bOuvXTseJ3+82t3fvBlo1hg7sRO2nSxSMu8J7RBGyCfiMaGVtHMBVtlCEHv/n0CxOIqxyKTt0xEr5odPsCfK0i31OumsvnPIibJASaIfOiznWIglM0i1qwHcptglv6nCVJ3+oSKrURm9vc8B1nZqky29d+/7Puscm1Gx7bP1rRw+A/5GoDpeXggGsPcKLsvrPUQ3zglTv/hfsz7l1GB2Wak+xOfFZbihbG2WiYyAt/Wl9O1Axw/Za6gPcTp2Cnb0Xlt95bP61aqNfynTjU52SjJD2aKKuM++PcF0qvKdPrx/JWj73w2MGbl06xP8j7TqPqmdWt6cbCIssGTpbj3YOrpbNl59T2/LGb7/wS+y+0vunt6fD0etnZOveH9Dv6bs8nlrgP6GEUPxYxxkdnZX9yAxpNNir00KOPmcPxBki1pTxYadllWG85Erl+9/sloi3fk7Eu3N8i/4SWgy2xwWDLdsfBeA51sCXXHGyJENMtlZF0y7l5BN//aXyWNN2WTibE6YhCIs8OREPiSSGrx9lB5Jmir4yoNE+YouFhciw6l9tvfstk8/i96QSICIOrNdZWejJSkA9kJZeChxdlPa12EYXgJaHd0mwrK6xfX3r1s5sPHJO6Oxz51CmOSyZEVamfXSu1e8XeTva3O+0Z84g+Epikj8F9II8cfm5D6ssHUrBYO17btoPVmZP2W2Eu6wdF58zV6jYizk1j2DLDsFC1Jc3QOH1xaZ7mjhdvP5ewOLLR6F7mv8Q60xvPIK/EXw7Uu1vEYj+mfaJo7/3ddkGzTjvSwqmRFs6MtEwIj7RwhOAl4KW4vdDsJbW3zPy2757DTLXnALTnALTnALTnAN1UsAk4DXgG8BnAa4B3AB8CvkZ2o0facwDac4Bavvbd76rb7SpQp0RKNbuZH1jach4zNXQZUhMg052J6IR6agTpqShkeDhh8l2KmlFSYElta6lqX17LK9K+s9er5bMFe0+OjPjD1fJI8MR2/jGOU6cX5rVLLz/x8NX/jrv9iqgU1p6YnQmvrRYrlri1adWszasHXS0VFHuMsl0u+StBeM0KSpvIPfKlctpKDIvZlOpklbSc/Pmr5x/n3esn5R7iY9678+fc73GkHLW9+x0xYhSDZOnB6R8x2bjEkm1RzMGW2s1gS91ysGW6bnC34hjF4uQL0IgrULhsFIEnm8EHPU2ZlhGjs2YIRaMCI/d1OS/Im67XCEuFVBuiNU3wDU0kE0dcJ0CSPOOe1HPBjFUIuY9ks8JbZj4Muv/f9q4utm3rCouXFEVTFE1RlGiKphlKoRmGZWhZoVVFlC3/xFEU1nY019C8Ik291E22Zl7WZl6HFR2QBcFQbEGxFeiKrsOKPmxDBuRh6EMR7KUDhmAoWqDbUwt0e+hbH4ahy4phjXd5SclMm20t5r3t4UKCAF/S555z7jnnfvd8oiK4eU6h33WsWV+jC1laYl6iGJKT0naD1erlVYWnE9jO+zs3wTW8nPASv4p7LDxwUHgsx80EP2TCHHck6m1xEAGnsZDyZjTyQKOxY7BmbI/sx7fje1g7RGX0iKXCwsJmLAUERg977iDUAgjvH5XDQCsviAS4RrV1fmmlSYqzrQoB+ElzdIR743lnlZvSvfvM+oO2RtDWg79RLzEs6z5kdFYteh3rvNV4uMLkOYrlhwkuP5KhR5Jdq9DTFuomSVdl4+JcqZZzOElkeVkslTNbo7OoVijsfAheJDbhJvlRXMZqIFK1XycMgZ9ehEV34KeH8sZujC0y+H7/m2EVvju4xYXwwEY/XBahUEUoVBEKVYRCFaFQRShUEQpVhEIVoVBFKFQRClWEQhX7QhWhUEVk9GKMUlj82Elmf7OOn2oasU2EQVDS3aLl8qBbRYxWWOinoSEQT8V2c5sw8J2qwZi3FBQYysEeHdwvCxLBsBFz2B6kCu2jAJ4jSW1x5owMUCWBSOYt6NLpw/UqJStBJ0ToORaabBUzbZ1IN9YBDLAoSaWZYQYA0jehjxFK7CHwJ5rmcjCyJ7I0n5YmLBXQeZprOe1T4n5aMmlezrmb7sy0rpv2QoGgqAxpwKAsOaa1Tm6tCGPE4WZ9yFk3YbaMY2jNX04IeAfnE13sq5Ff4SKANxdrIT4b9OX3UG24zyO5N9iDYEMSIz4TP4zgfDin35/Th3P6cE4fzunDOX04pw/n9OGcPpzTh3P6cE4fzunDOf2w/eY7d/Yqj3OK9Y+145Xs0sAbItX0oGp6UDU9qJoeVE0PqqYHVdODqulB1fSganpQNT2omh5UTa+vmh5UTQ+pphdrjO/FSA7EWAULiyBJYUzhClE9K9748vCA7mP3gGc3AMGijnPVSXwRwFCEp/AkSVqCSANSduW5b+lnt4Ju26wssbzO5TiYJLLGXNU95deyZCELE0Z+WMIJ8aDodnpPnSUypNiolglVtSo5zZQqci23vcVYKkERotN+dJU1mabvF8g0oTiC0a5pTrurW9snYHbNHzLQPrW5cxv3cQ66hUfucu4JfQgiYVL2kIQpBM4O6JNQEN3Ext0B0lDF+oWjAu6DhaakcDTFlzhSNavy3Jjs7BcBk7b5EstnaEId4/evXCpKI9r0LJXlFPCe8MLjlmdpnF7LcxVbO630ujNE2RsdvtIWZKtauH6kXX/y0pYzt/bUVxgFyeDPxC3cCbjig5cLrs+jdoEBc18qJOszBnx9MCaZwRBmDcF8p/rIaeKWsGx+XZ92ZoUjJlW2K45OWzqjlzMMo4zKFJnjM7oqCKXqKvw/pJJZm6SKZSMnnzgL2HvGJgRJxcmzb29X/wg161nn+hXp6NLq8SNsM0vbkzwv+ivzw9z80iJnCc90/vBlFbqQY2s9UWl0H+t2nr62Wd2ee1UNz5Au7PwOfwB8kGgNak5T0f0gGn5OIeOdGoSDqLP9eH+B/2vWgeAh8M/RQ8ZjNafxWAUxuo09HiFsQv6V0EJC8EfUNBY6cBUL+xYEFhXgmcYwEV8HhYy6vND8Ijc7tUHmRhTWFpRC0rw8oxw1yz0XjORo8oLgfU2xOdOoZg3zAbCirrubJC3uO7OmfE/8XOt5WjdHi8xBa3+q/eMN4YguHrUJIinIoCfZq+IBsVa9V5MrF0HXXK8HGLTbZXwDvJyYHXCUtVDjSmQee8d/Et6RxFKRjeBRh9+QjCa8IXs4MpQQuYxyfvgLfLkx4uABcqHCjZsmr5XHHJtIcxqhWHbDauTFqlvhzKlK3RZy/HTTIUW9rnTGVKMm1UlZKIMrCy6x3nMvP6hO3Hv0sDPrzdqAY4ghc7az0T7dYZzJA6maY7e7vN66b4HgrBY7x+innm5cnGQQRu898Db4e6KR2I77kaHAjwyFsUg5IqdB4KaQQI/bM7XbLWSiETACo5obiozDCw7IYPvkFUHVsgpuqAZdPVJjyhu9OXCmTE8rx82fba49qqyuCbS9UbvQ0woTtKzrzNIJ2luok+5zVy9wc/w+K0WRFDNk3COvSsecJ19QqTQwhSw9TDApguFknp90TGo7z9YX5yWxGOKyX9sxwc2kBLM86GdwqM35MGCJqHOjZNVF/clQx4iwU09YsQ5Jd8MSNojYigKrIMErTqdapnmSSBcMlVfTI3Q64ClZP6fola3OPDEE8GGeJNl9QoU5OcFyFI4TYBgUcvbVNQkj3mXzo5Z+Xjwot0etVr2mcVq+Xj4zLddG2emmRfZIWXforflz9OmeMGmzw6xMS0BgTEXQTK8ClJKescnFE6bV0nKIW83fcbHXksGJ/yuRrRxE/gdxVhbvIDWMExrevWUdsqsitKti366KUI+K0K6K0K6K0K6K0K6K0K6K0K6K0K6K0K6K0K6K0K6K0K6KKMYoxm7UFiNfRMW4K6nBdZs+L2lYOC0I/cJb1J4GVUldLyrpRoea2I1UmkCds3MaxfMMQVAkDeg0KBrpILt6jHnk1OIIf6DgPOxITkGqOWrGf3zxem/pONFeX2HM89qxLzzeZTFzQj3pzr2F/PizO3XwQtJMLCVejeR4BB0cY0ED+tLgwlA/jE7dKbMSlFmpL7MSlFkJoQXqcByH4/NwnIPjCTi+C8eP4Pg5HEFHo5twBDIrxWRWioWXpSgwL8VQBKnYsXLwfR5+n3eiO98hpBTFSdElzYhlJmSUxqMjwfx4AAsI7m9CgwgjJxcm+yT4gXOczQbJKcGQv7wqYXbDpSSD5AkslRkxVcFQc6lMoPIytn+x588nqaD/xjBjmyoGeMERxwJN1QyDMsFLlzVaEoYJulI+TxezSq9keq5bZiePn18KwBjTDYvokZJhMxfmzjIPrfEVWwWsIo9QQ3BNPsQuJk+DW1C3N6M1MSOUX6mv4wmk43sZLpEDxsQw00fti9GJeeDSUHAZREvwxViaHna7C3WFrtSnC41Jc7vz7RZFGm5Hs8ZUcWV9pnl4pq0td32J4ngRXOPKWYFvLDsCUbD0dX3hykWiIp04J4/yQwSVd5ZmuuX5056g3clRmvifMIH+/xmf+RlJ5lM8g9hhJW7f/cvHhOkvfef6Fa+y/EitcKj4zLuVb3b2/ednDGU+9gySwZKDh+zTw4dQH4xOqq1f/OT7xpO/v/232z+9/ZdvbLz4xqP2Ay6mYb/e+OsPW/i/4YAlXic6ySeSN6C99OMrYZcDltxbe9olTRCDQAuZzhPAMqUmJQXMG4xBwYyDYyaIq2zNcuT6/EolpNuQkExEgoP726VPww2MoZ5Cn2T7uEFiQ32WjywdsHwI8AUmkp1PsgMD/LWBbOwB74oQgVHx6MBeQEXBPU7Wwl4gZIQLEN/5V9JLfQaZ/iP8MU5xcjdB1z8heRDIHbyO5O4kDgwkv3u6cSAqph56E62AFa3AXflWUndfGPBbMnzfO9al8v6nXq763eidExgCid2C+waeSGS1rAZufUQHI5H4J54fGcF42mNgZGBgAOIg3k7DeH6brwzyHAwgsO+YQzSIvrnIfd7/mH/KnLyse4BcDgYmkCgAGfMKvgAAAHjaY2BkYGAT+fuGgYFL5H/M/3WcvAxAERRQBQCFXwW8eNo1kU8ow2EYx7/v+zy/t7W0luZPS3KhOUjOkpSLUthBSzvIYUmanNDKzcFh/Q5rByLSDtJaWpol7aLk368kt0U5OKg5KBMHzfMb3vr07X3+9zy6gmHI0wcARQVbzdCq8lgPyFhTSJhWFI1GUa8rD63hw4Vn8c5VPOkr5eeq8uqS8lMWYU4jSUNqnHtg8yCiHEeCXlGgMmy6EX9E7G1I6hsVEPy0gZLk+0QPeQqOacc1jyAmdYo8jQSn4NAbLukbDn9hxWI4OoclXaht8hhylELBymOPpT6vS68yCpzHMgeRE7rpGQO8g7z0DRsjdeNie0E/N8ssITVZnzmkmLP40HYtRydYpCOpMyd6K9xhQd+igz2yl2fs6UZs6YZalOaxqxn71j126QpbNI0lKiJDJcnx4YC6ahV9joD0ytA2YlYvYnXfBcLUJ0RxRkE1Kpo2EXy6e6/v8RGwTuUWf6pehAU5zvsfx/LvFJ34jf/HNCmvNyBqs2Ns1WJsOnPVjXXzdRX4AQQOeIN42mNgYNCBQEY5xglMDSw2rNPYXNga2H6xt3BoccpwhnBe4pLhSuLm4T7Hs4Q3j6+A34L/l8AywUdCy4QFhEuE94isEvkk2iV2SLxK4o3kGik/6SIZP5lbclLySvJnFLYphigFKXuoCKhqqWWpV2l4aZzTrNO8oVWl9UN7jY6MziNdJd0ben56F/RNDEQMthluM4owNjHxMjUzfWfmYPbLvMiCy2KHZZJVkLWN9R6bPNsMuwn2QvZVDioOWxzdHHc5xTlrOC8DwhvYoQuXi41LnssClyuuWq5Jrs/cXMAwCACau0+WAAAAAAEAAAB6ALQABQAAAAAAAgAKACAAPAAAAgACGAAAAAB42m2ROU7DUBRFj3FAosBlhKhSpUACDEkRhgYhQQGCCAOpGRJjZGFjmwJWwCooWAsFwwqQWAUr4P74xwyKrO933nTf+zYwwxMuTm0a6OqU7FCXV/IEHgPLLvMUlms0ebQ8ySzPlqfU+2nZo82X5RfqTtPyK76zYfkNz4ktv4vvS/5wmXMe2CIh5Y6MiJBLTW+wgs8yHdGRIn3ZHU5lQ27FXdUmXMk/H1ZvKlqoLlE8/1O5V2ke2lisbCbtRU3wWeeYXXrsi376Fn71jVdr/NM7kWdmR9rhWtmR/nhNcwrdeY0lPbluYe6eKparz6jEsuY2ofIHbKu3J50z/SWjX1QTAukbL1A2HUbbevu0pN2SNe9O9T1XuVDdQD1mb7NBuXVffq4pI+2AG0Ui5TLl4m8tOFUPAHjabc7FTkNhGITh96sbpY67+zmnilOkuLvTBGibEEIgXcAFcEHozbFAzr9kNk8yi8lg4S9fz2T5L08gFrFixYYdB05cuPHgxUcFfioJECREmAhRYlRRTQ211FFPA4000UwLrbTRTgeddNFND7300c8AgwyhoWMQJ0GSFGkyDDPCKGOMM8EkUz/PpplljhzzLLDIEsussMoa62ywyRbb7LDLHvsccMgRx5xwyhnnXJAXm9jFIU5xiVs84hWfVIhfKiUgQQlJmBde+eCTN94lIlGJOQo3j3dF3cRwlm9LmpbVlLO/GpqmKXWloYwrE8qkMqVMKzPKYWXWVFe7uu65LhXK91eX+YeiWRk506RpMjfzDYRNSQgAAAB42mWOKw7CQBRFz7SApOUjkBgIYQSEYCAhGNhCE5ZAEKyguhrZnUzGzNa4paZD3Xsn7953HAdrPANyjtYEplS8eXBlDZxtYMYnIgSy3lFOTRmRifYo5pnrzck6xst7+VzcHJuGGlK2rUPSDEFDxYuCCytF9yobqqxL5GB6R8nPoUvS/5hnpPadHGgdvtgyKTo=) format('woff');\n font-weight: normal;\n font-style: normal;\n}`);\n};\n\nexport const addFontIndieFlower = (parent) => {\n parent.append(\"defs\").append(\"style\").attr(\"type\", \"text/css\")\n .text(`@font-face {\n font-family: 'indie_flowerregular';\n src: url(data:application/font-woff2;charset=utf-8;base64,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) format('woff2'),\n 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) format('woff');\n font-weight: normal;\n font-style: normal;\n\t}`);\n};\n" }, { "path": "src/utils/addLegend.js", "content": "import { select } from \"d3-selection\";\n\nexport const addLegend = (\n parent,\n legendItems,\n legendWidth,\n legendHeight,\n left\n) => {\n parent.svg\n .append(\"svg\")\n .attr(\n \"x\",\n parent.legendPosition === \"left\" ? 5 : parent.width - (legendWidth + 2)\n )\n .attr(\"y\", 0);\n\n // allow custom left-padding where chart overlaps with y-axis\n const leftPadding = left === undefined ? -parent.margin.left + 5 : left;\n\n const nodeLegend = parent.rc.rectangle(\n parent.legendPosition === \"left\"\n ? leftPadding // left\n : parent.width + parent.margin.right - 2 - legendWidth, // right\n -(parent.margin.top / 3), // y\n legendWidth, // width\n legendHeight, // height\n {\n fill: \"white\",\n fillWeight: 0.1,\n strokeWidth: 0.75,\n roughness: 2,\n }\n );\n\n const roughLegend = parent.roughSvg.appendChild(nodeLegend);\n const legendClass = \"rough\" + parent.el.substring(1, parent.el.length);\n roughLegend.setAttribute(\"class\", legendClass);\n\n legendItems.forEach((item, i) => {\n const g = select(\".\" + legendClass)\n .append(\"g\")\n .attr(\n \"transform\",\n `translate(\n ${\n parent.legendPosition === \"left\"\n ? 5\n : parent.width - (legendWidth + 2)\n },\n ${0})`\n );\n\n g.append(\"rect\")\n .style(\"fill\", parent.colors[i])\n .attr(\"width\", 20)\n .attr(\"height\", 8)\n .attr(\n \"x\",\n parent.legendPosition === \"left\" ? leftPadding : parent.margin.right + 5\n )\n .attr(\"y\", 6 + 11 * i - parent.margin.top / 3);\n\n g.append(\"text\")\n .style(\"font-size\", \".8rem\")\n .style(\"font-family\", parent.fontFamily)\n .attr(\n \"x\",\n parent.legendPosition === \"left\"\n ? leftPadding + 25\n : parent.margin.right + 30\n )\n .attr(\"y\", 6 + 11 * i + 8 - parent.margin.top / 3)\n .text(item.text);\n });\n};\n" }, { "path": "src/utils/colors.js", "content": "export const colors = [\n \"coral\",\n \"skyblue\",\n \"#66c2a5\",\n \"tan\",\n \"#8da0cb\",\n \"#e78ac3\",\n \"#a6d854\",\n \"#ffd92f\",\n \"coral\",\n \"skyblue\",\n \"tan\",\n \"orange\",\n];\n" }, { "path": "src/utils/roughCeiling.js", "content": "export const DEFAULT_CEILING = 20;\nexport const DEFAULT_VALUE = 1;\n\nexport const roughCeiling = ({\n roughness,\n ceiling = DEFAULT_CEILING,\n defaultValue = DEFAULT_VALUE,\n}) => {\n if (roughness === undefined || typeof roughness !== \"number\")\n return defaultValue;\n\n return roughness > ceiling ? ceiling : roughness;\n};\n" }, { "path": "src/utils/saveToPng.js", "content": "export saveToPng(filename = \"chart.png\") {\n // 1. Serialize the SVG to a string\n const svgString = new XMLSerializer().serializeToString(document.querySelector(this.el + \" svg\"));\n\n // 2. Convert the SVG string to a Data URL\n const svgDataUri = 'data:image/svg+xml;base64,' + btoa(unescape(encodeURIComponent(svgString)));\n\n // 3. Render the Data URL in an Image Element\n const img = new Image();\n\n img.onload = function() {\n // 4. Draw the Image onto a Canvas\n const canvas = document.createElement('canvas');\n canvas.width = img.width;\n canvas.height = img.height;\n const ctx = canvas.getContext('2d');\n ctx.drawImage(img, 0, 0);\n\n // 5. Save Canvas as PNG\n // For this example, we'll just create a link and click it\n const a = document.createElement('a');\n a.download = filename;\n a.href = canvas.toDataURL('image/png');\n document.body.appendChild(a); // This line is needed for Firefox\n a.click();\n document.body.removeChild(a); // Cleanup for Firefox\n };\n\n img.src = svgDataUri;\n}" }, { "path": "tests/Bar.test.js", "content": "// import roughBars from '../src';\n\ndescribe('Test Chart', () => {\n test('Attributes should correctly propagate', () => {\n\n\n // let padding = barChart.padding;\n const padding = 0.15;\n\n\n // const output = [{ id: 3, url: \"https://www.link3.dev\" }];\n expect(padding).toEqual(0.15);\n });\n});\n" }, { "path": "tests/BarH.test.js", "content": "// import roughBars from '../src';\n\ndescribe('Filter function', () => {\n test('it should filter by a search term (link)', () => {\n // const barChart = new roughBars.BarH({});\n\n // let padding = barChart.padding;\n const padding = 0.15;\n\n\n // const output = [{ id: 3, url: \"https://www.link3.dev\" }];\n expect(padding).toEqual(0.15);\n });\n});\n" }, { "path": "tests/Donut.test.js", "content": "// import roughBars from '../src';\n\ndescribe('Test Chart', () => {\n test('Attributes should correctly propagate', () => {\n\n\n // let padding = barChart.padding;\n const padding = 0.15;\n\n\n // const output = [{ id: 3, url: \"https://www.link3.dev\" }];\n expect(padding).toEqual(0.15);\n });\n});\n" }, { "path": "tests/Pie.test.js", "content": "// import roughBars from '../src';\n\ndescribe('Test Chart', () => {\n test('Attributes should correctly propagate', () => {\n\n\n // let padding = barChart.padding;\n const padding = 0.15;\n\n\n // const output = [{ id: 3, url: \"https://www.link3.dev\" }];\n expect(padding).toEqual(0.15);\n });\n});\n" }, { "path": "tests/Scatter.test.js", "content": "// import roughBars from '../src';\n\ndescribe('Test Chart', () => {\n test('Attributes should correctly propagate', () => {\n\n\n // let padding = barChart.padding;\n const padding = 0.15;\n\n\n // const output = [{ id: 3, url: \"https://www.link3.dev\" }];\n expect(padding).toEqual(0.15);\n });\n});\n" }, { "path": "tests/utils/roughCeiling.test.js", "content": "import { roughCeiling, DEFAULT_CEILING, DEFAULT_VALUE } from '../../src/utils/roughCeiling';\n\ndescribe('roughCeiling', () => {\n test('Should return the value when below the default ceiling', () => {\n const roughness = DEFAULT_CEILING - 4;\n const result = roughCeiling({ roughness });\n\n expect(result).toEqual(roughness);\n });\n\n test('Should return the default ceiling value when above the default ceiling', () => {\n const roughness = DEFAULT_CEILING + 3;\n const result = roughCeiling({ roughness });\n\n expect(result).toEqual(DEFAULT_CEILING);\n });\n\n test('Should return the given ceiling when roughness value is above', () => {\n const ceiling = 12;\n const roughness = ceiling + 3;\n const result = roughCeiling({ roughness, ceiling });\n\n expect(result).toEqual(ceiling);\n });\n\n test('Should return the default value when no values are provided', () => {\n const result = roughCeiling({});\n\n expect(result).toEqual(DEFAULT_VALUE);\n });\n\n test('Should return the given default value when a roughness value is not provided', () => {\n const defaultValue = 4;\n const result = roughCeiling({ defaultValue });\n\n expect(result).toEqual(defaultValue);\n });\n\n test('Should return the value when 0', () => {\n const roughness = 0;\n const result = roughCeiling({ roughness, ceiling: 25, defaultValue: 1 });\n\n expect(result).toEqual(roughness);\n });\n\n test('Should return the default value when roughness is not a number', () => {\n const roughness = '100';\n const result = roughCeiling({ roughness, ceiling: 25 });\n\n expect(result).toEqual(DEFAULT_VALUE);\n });\n});\n" }, { "path": "vite.config.js", "content": "import { defineConfig } from \"vite\";\nimport { terser } from \"rollup-plugin-terser\";\n\nexport default defineConfig({\n build: {\n lib: {\n entry: \"src/index.js\",\n name: \"roughViz\",\n formats: [\"es\", \"umd\", \"cjs\"],\n fileName: (format) => `roughviz.${format}.js`,\n },\n rollupOptions: {\n plugins: [terser()],\n output: {\n globals: {},\n },\n },\n },\n});\n" }, { "path": "website/index.html", "content": "\n\n \n roughViz.js\n \n\n \n \n\n \n \n \n\n \n
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\n

roughViz.js

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\n Easy, responsive JavaScript library for creating hand-drawn looking\n charts in the browser.
\n \n

\n Star\n
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Components:

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Bar
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BarH
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Donut
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Force
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Line
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Network
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Pie
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Scatter
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\n StackedBar\n
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\n Why? roughViz was built to provide an easy way to create\n interactive, \"sketchy\" plots in the browser. Use these charts where\n the communication goal is to show intent or generality, and not\n absolute precision. Or just because they're fun and look weird!\n

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\n Live, editable examples:\n available on observable.
\n Documentation & API:\n available on GitHub.\n

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Getting Started Is Simple

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\n 1. Import roughViz.js: First, import the library via\n a script tag or via npm:\n

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\n        \n    // Install with cdn:\n    <script src=\"https://unpkg.com/rough-viz@2.0.5\"></script>\n\n    # Install with npm:\n    $ npm install rough-viz \n
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\n 2. Create container: Simply create a container div\n and assign some dimensions (e.g. width and height). By default, the\n roughViz chart will be sized and responsive according to these\n dimensions.\n

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\n        \n   <div id=\"viz0\" style=\"width: 500px; height: 500px;\" ></div>\n
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\n 3. Call chart: Use roughViz to create the desired\n chart, and feed in the required arguments.\n

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\n        \n  // create Donut chart using defined data & customize plot options\n  new roughViz.Donut(\n    {\n      element: '#viz0',\n      data: {\n        labels: ['North', 'South', 'East', 'West'],\n        values: [10, 5, 8, 3]\n      },\n      title: \"Regions\",\n      roughness: 8,\n      colors: ['red', 'orange', 'blue', 'skyblue'],\n      stroke: 'black',\n      strokeWidth: 3,\n      fillStyle: 'cross-hatch',\n      fillWeight: 3.5,\n    }\n  ); \n
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\n If you're using npm, simply import the module and use\n the roughViz namespace:\n

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\n      \n      # Install with npm:\n      $ npm install rough-viz \n    \n      import { Bar, ... } from 'rough-viz';\n
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Made by Jared Wilber

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\n\n \n \n \n \n\n" }, { "path": "website/main.js", "content": "import \"./style.css\";\nimport { Bar } from \"rough-viz\";\n\n// logo\nnew Bar({\n element: \"#vizLogo\", // container selection\n data: { labels: [\"a\", \"b\", \"c\", \"d\"], values: [20, 16, 5, 15] },\n axisFontSize: 0,\n roughness: 3,\n color: \"pink\",\n fillStyle: \"cross-hatch\",\n margin: { top: 10, right: 20, bottom: 15, left: 20 },\n interactive: false,\n});\n" }, { "path": "website/package.json", "content": "{\n \"name\": \"rvtest\",\n \"private\": true,\n \"version\": \"0.0.0\",\n \"type\": \"module\",\n \"scripts\": {\n \"dev\": \"vite\",\n \"build\": \"vite build\",\n \"preview\": \"vite preview\"\n },\n \"devDependencies\": {\n \"@sveltejs/vite-plugin-svelte\": \"^3.0.0\",\n \"vite\": \"^5.0.0\"\n },\n \"dependencies\": {\n \"d3-array\": \"^3.2.4\",\n \"d3-selection\": \"^3.0.0\",\n \"rough-viz\": \"^2.0.3\"\n }\n}\n" }, { "path": "website/roughDemo.js", "content": "import {\n Bar,\n BarH,\n Donut,\n Line,\n Network,\n Force,\n Pie,\n Scatter,\n StackedBar,\n} from \"rough-viz\";\nimport { range } from \"d3-array\";\nimport { select } from \"d3-selection\";\n\nconst anchor = \"#introViz\";\n\n// event listeners for elements\nconst roughSlider = document.getElementById(\"roughness-slider\");\nconst roughLabel = document.getElementById(\"label-roughness-slider\");\n\nconst strokeWidthSlider = document.getElementById(\"strokeWidth-slider\");\nconst strokeWidthLabel = document.getElementById(\"label-strokeWidth-slider\");\n\nconst innerStrokeWidthSlider = document.getElementById(\n \"innerStrokeWidth-slider\"\n);\nconst innerStrokeWidthLabel = document.getElementById(\n \"label-innerStrokeWidth-slider\"\n);\n\nconst fillWeightSlider = document.getElementById(\"fillWeight-slider\");\nconst fillWeightLabel = document.getElementById(\"label-fillWeight-slider\");\n\nconst axisRoughnessSlider = document.getElementById(\"axisRoughness-slider\");\nconst axisRoughnessLabel = document.getElementById(\n \"label-axisRoughness-slider\"\n);\n\nconst colorSlider = document.getElementById(\"color-picker\");\nconst colorLabel = document.getElementById(\"label-color-picker\");\nconst strokeSlider = document.getElementById(\"stroke-picker\");\nconst strokeLabel = document.getElementById(\"label-stroke-picker\");\n\n// const numNodes = 200;\nconst numNodes = 104;\nconst radius = 5;\n\nconst dataLength = 20;\n\nconst scatterData = {\n x: Array.from({ length: dataLength }, () => Math.random() * dataLength),\n y: Array.from({ length: dataLength }, () => Math.random() * dataLength),\n radius: Array.from(\n { length: dataLength },\n () => Math.floor(Math.random() * 20) + 1\n ),\n};\n\nfunction createNodes(numNodes) {\n return range(numNodes).map(() => {\n const randomValue = Math.random();\n\n let multiplier =\n randomValue < 0.05\n ? 5\n : randomValue < 0.6\n ? 1\n : randomValue < 0.8\n ? 2\n : 3;\n\n return {\n radius: multiplier * radius,\n };\n });\n}\n\nfunction createLinks(numNodes) {\n return range(numNodes - 1).map((d, i) => ({\n source: i,\n target: i + 1,\n }));\n}\n\n// resolve slider values\n\nlet roughnessValue = parseFloat(roughSlider.value);\nlet strokeWidthValue = parseFloat(strokeWidthSlider.value);\nlet innerStrokeWidthValue = parseFloat(innerStrokeWidthSlider.value);\nlet fillWeightValue = parseFloat(fillWeightSlider.value);\nlet axisRoughnessValue = parseFloat(axisRoughnessSlider.value);\nlet fillStyleValue = \"hachure\";\nlet colorVal = colorSlider.value;\nlet strokeVal = strokeSlider.value;\n\nfunction getUpdatedValues() {\n colorVal = colorSlider.value;\n strokeVal = strokeSlider.value;\n\n roughnessValue = parseFloat(roughSlider.value);\n\n strokeWidthValue = parseFloat(strokeWidthSlider.value);\n\n innerStrokeWidthValue = parseFloat(innerStrokeWidthSlider.value);\n\n fillWeightValue = parseFloat(fillWeightSlider.value);\n\n axisRoughnessValue = parseFloat(axisRoughnessSlider.value);\n\n fillStyleValue = getCurrentFillStyle();\n}\n\n// starting chart\n\nlet mainViz = new Force({\n element: anchor,\n data: createNodes(numNodes),\n collision: 1.2,\n textCallback: (d) => \"Size: \" + d.radius,\n radiusExtent: [10, 60],\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n});\n\nfunction resolveControls() {\n console.log(\"resolveControls\", selectedViz);\n\n if ([\"Donut\", \"Pie\", \"Force\", \"Network\"].includes(selectedViz)) {\n select(\"#axisRoughness-slider\").style(\"display\", \"none\");\n select(\"#label-axisRoughness-slider\").style(\"display\", \"none\");\n } else {\n select(\"#axisRoughness-slider\").style(\"display\", \"inline-block\");\n select(\"#label-axisRoughness-slider\").style(\"display\", \"inline-block\");\n }\n if ([\"Donut\", \"Pie\", \"StackedBar\", \"Line\"].includes(selectedViz)) {\n select(\"#color-picker\").style(\"display\", \"none\");\n select(\"#label-color-picker\").style(\"display\", \"none\");\n select(\"#stroke-picker\").style(\"display\", \"none\");\n select(\"#label-stroke-picker\").style(\"display\", \"none\");\n } else {\n select(\"#color-picker\").style(\"display\", \"inline-block\");\n select(\"#label-color-picker\").style(\"display\", \"inline-block\");\n select(\"#stroke-picker\").style(\"display\", \"inline-block\");\n select(\"#label-stroke-picker\").style(\"display\", \"inline-block\");\n }\n if (selectedViz === \"Line\") {\n select(\"#fillWeight-slider\").style(\"display\", \"none\");\n select(\"#label-fillWeight-slider\").style(\"display\", \"none\");\n select(\"#innerStrokeWidth-slider\").style(\"display\", \"none\");\n select(\"#label-innerStrokeWidth-slider\").style(\"display\", \"none\");\n select(\"#fillStyle-dropdown\").style(\"display\", \"none\");\n select(\"#label-fillStyle-dropdown\").style(\"display\", \"none\");\n } else {\n select(\"#fillWeight-slider\").style(\"display\", \"inline-block\");\n select(\"#label-fillWeight-slider\").style(\"display\", \"inline-block\");\n select(\"#innerStrokeWidth-slider\").style(\"display\", \"inline-block\");\n select(\"#label-innerStrokeWidth-slider\").style(\"display\", \"inline-block\");\n select(\"#fillStyle-dropdown\").style(\"display\", \"inline-block\");\n select(\"#label-fillStyle-dropdown\").style(\"display\", \"inline-block\");\n }\n}\nresolveControls();\nfunction newChart() {\n getUpdatedValues();\n resolveControls();\n\n mainViz.remove();\n if (selectedViz === \"Force\") {\n mainViz = new Force({\n element: anchor,\n data: createNodes(numNodes),\n collision: 1.2,\n textCallback: (d) => \"Size: \" + d.radius,\n radiusExtent: [10, 60],\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Bar\") {\n mainViz = new Bar({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n highlight: \"steelblue\",\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"BarH\") {\n mainViz = new BarH({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n highlight: \"steelblue\",\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n padding: 0.15,\n });\n }\n if (selectedViz === \"Donut\") {\n mainViz = new Donut({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n highlight: \"steelblue\",\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Pie\") {\n mainViz = new Pie({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Network\") {\n mainViz = new Network({\n element: anchor,\n data: createNodes(35),\n links: createLinks(35),\n collision: 3.05,\n radiusExtent: [10, 60],\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n stroke: strokeVal,\n color: colorVal,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n textCallback: (d) => \"Size: \" + d.radius,\n strokeWidth: strokeWidthValue,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Line\") {\n mainViz = new Line({\n element: anchor,\n data: { y: scatterData[\"y\"], y2: scatterData[\"x\"] },\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n roughness: roughnessValue,\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n circle: false,\n });\n }\n if (selectedViz === \"Scatter\") {\n mainViz = new Scatter({\n element: anchor,\n data: scatterData,\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n colors: colorVal,\n fillStyle: fillStyleValue,\n radius: 20,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"StackedBar\") {\n mainViz = new StackedBar({\n element: anchor,\n data: [\n { month: \"Jan\", A: 20, B: 5, C: 8, D: 12 },\n { month: \"Feb\", A: 25, B: 10, C: 9, D: 5 },\n { month: \"March\", A: 15, B: 5, C: 19, D: 9 },\n ],\n labels: \"month\",\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n}\n\nfunction updateChart() {\n mainViz.remove();\n getUpdatedValues();\n\n updateSliderLabels();\n if (selectedViz === \"Force\") {\n mainViz.redraw({\n element: anchor,\n data: createNodes(numNodes),\n collision: 1.2,\n textCallback: (d) => \"Size: \" + d.radius,\n radiusExtent: [10, 60],\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Bar\") {\n mainViz.redraw({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n highlight: \"steelblue\",\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"BarH\") {\n mainViz.redraw({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Pie\") {\n mainViz.redraw({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Donut\") {\n mainViz.redraw({\n element: anchor,\n data: {\n labels: [\"North\", \"South\", \"East\", \"West\"],\n values: [10, 5, 8, 3],\n },\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Network\") {\n mainViz.redraw({\n element: anchor,\n data: createNodes(35),\n links: createLinks(35),\n collision: 3.05,\n radiusExtent: [10, 60],\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n textCallback: (d) => \"Size: \" + d.radius,\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n if (selectedViz === \"Line\") {\n mainViz.redraw({\n element: anchor,\n data: { y: scatterData[\"y\"], y2: scatterData[\"x\"] },\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n roughness: roughnessValue,\n stroke: strokeVal,\n color: colorVal,\n fillStyle: fillStyleValue,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n circle: false,\n });\n }\n if (selectedViz === \"Scatter\") {\n mainViz.redraw({\n element: anchor,\n data: scatterData,\n x: \"x\",\n y: \"y\",\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n colors: colorVal,\n radius: 20,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n\n if (selectedViz === \"StackedBar\") {\n mainViz.redraw({\n element: anchor,\n data: [\n { month: \"Jan\", A: 20, B: 5, C: 8, D: 12 },\n { month: \"Feb\", A: 25, B: 10, C: 9, D: 5 },\n { month: \"March\", A: 15, B: 5, C: 19, D: 9 },\n ],\n labels: \"month\",\n roughness: roughnessValue,\n fillStyle: fillStyleValue,\n margin: { top: 100, left: 100, right: 100, bottom: 100 },\n stroke: strokeVal,\n color: colorVal,\n strokeWidth: strokeWidthValue,\n axisStrokeWidth: 1,\n innerStrokeWidth: innerStrokeWidthValue,\n fillWeight: fillWeightValue,\n axisRoughness: axisRoughnessValue,\n });\n }\n}\n\nfunction handleDropdownChange(event) {\n const selectedValue = event.target.value;\n\n if (fillStyleValue !== selectedValue) {\n fillStyleValue = selectedValue;\n }\n\n updateChart();\n}\n\nfunction getCurrentFillStyle() {\n const dropdown = document.querySelector('[name=\"fillStyle\"]');\n if (dropdown) {\n return dropdown.value;\n }\n\n return \"null\";\n}\n\nfunction updateSliderLabels() {\n roughLabel.textContent = \"Roughness: \" + roughSlider.value;\n strokeWidthLabel.textContent = \"strokeWidth: \" + strokeWidthSlider.value;\n innerStrokeWidthLabel.textContent =\n \"innerStrokeWidth: \" + innerStrokeWidthSlider.value;\n fillWeightLabel.textContent = \"fillWeight: \" + fillWeightSlider.value;\n axisRoughnessLabel.textContent =\n \"axisRoughness: \" + axisRoughnessSlider.value;\n colorLabel.textContent = \"Color: \" + colorSlider.value;\n strokeLabel.textContent = \"Stroke: \" + strokeSlider.value;\n}\n\n// Assuming the ID of the dropdown is \"fillStyle-dropdown\", add an event listener to handle changes:\ndocument\n .getElementById(\"fillStyle-dropdown\")\n .addEventListener(\"change\", handleDropdownChange);\n\nroughSlider.addEventListener(\"change\", updateChart);\n\nstrokeWidthSlider.addEventListener(\"change\", updateChart);\n\ninnerStrokeWidthSlider.addEventListener(\"change\", updateChart);\n\nfillWeightSlider.addEventListener(\"change\", updateChart);\naxisRoughnessSlider.addEventListener(\"change\", updateChart);\n\ncolorSlider.addEventListener(\"change\", updateChart);\nstrokeSlider.addEventListener(\"change\", updateChart);\n\ndocument.querySelectorAll(\".menuItem\").forEach((item) => {\n item.addEventListener(\"click\", (event) => {\n newChart();\n });\n});\n" }, { "path": "website/style.css", "content": "@import url(\"https://fonts.googleapis.com/css?family=Gaegu\");\n\nmain {\n margin: auto;\n max-width: 1400px;\n}\n\n#viz0, #viz1, #viz2, #viz3, #viz4, #viz5 {\n border: 2px solid black;\n width: 500px;\n height: 250px;\n}\n\n.side {\n display: flex;\n}\n\n\n.wrapper {\n display: flex;\n flex: wrap;\n}\n* {\n font-family: \"Gaegu\";\n}\nh1,\nh4 {\n font-family: \"Gaegu\";\n font-weight: 0.1;\n padding-bottom: 0;\n margin-bottom: 0;\n}\n\n.logo {\n display: flex;\n flex-direction: row;\n margin: auto;\n justify-content: center;\n height: 100%;\n}\n\n#vizLogo {\n width: 10%;\n}\n.wrapper {\n display: flex;\n flex: wrap;\n}\n\nh1,\nh2,\nh4 {\n font-family: \"Gaegu\";\n font-weight: lighter;\n padding-bottom: 0;\n margin-bottom: 0;\n margin-top: 0;\n}\n\nh2 {\n font-family: \"Gaegu\";\n font-size: 2.5rem;\n}\n\np {\n font-family: \"Gaegu\";\n color: black;\n font-size: 18px;\n}\n\n\n\n.project-grid {\n width: 100%;\n display: flex;\n justify-content: center;\n flex-wrap: wrap;\n}\n\n.project-wrapper {\n flex-basis: 25%;\n padding: 1.9rem;\n margin-bottom: 0;\n}\n\n.desc {\n font-size: 1.1rem;\n}\n\nhr {\n max-width: 50%;\n opacity: 0.3;\n}\n\n.start {\n max-width: 45%;\n}\n\nbody {\n background-color: #fff;\n}\n\n.blue {\n color: #4fabc9;\n}\n.red {\n color: coral;\n}\n.purple {\n color: orange;\n}\n.yellow {\n color: #b88747;\n}\n.green {\n color: #4fabc9;\n}\n\n#introViz {\n margin: auto;\n width: 100%;\n height: 80vh;\n}\n.link {\n stroke: black;\n stroke-width: 1;\n}\n\nh3 {\n margin: 2px;\n}\n\n\n\n\ncode {\n display: block;\n text-align: left;\n padding-right: 0.5em;\n overflow-x: auto;\n max-width: 100%;\n border: 1px solid pink;\n font-family: monospace;\n text-align: left;\n width: 100%;\n font-size: 15px;\n padding: 0;\n margin: 0;\n}\n\npre, code {\n margin: 0;\n padding: 0;\n border: none;\n}\n\npre, code {\n white-space: pre-wrap;\n}\n\npre {\n padding: 0 1em;\n border-radius: 5px;\n border: 1.5px solid black;\n background: snow;\n\n}\n\na {\n text-decoration: underline;\n text-decoration-color: pink;\n}\n\n\n" }, { "path": "website/vite.config.js", "content": "import { defineConfig } from \"vite\";\nimport { svelte } from \"@sveltejs/vite-plugin-svelte\";\n\n// https://vitejs.dev/config/\nexport default defineConfig({\n plugins: [svelte()],\n base: \"\",\n});\n" } ]