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funky-graphs

v1.0.14

Published

A JavaScript library for creating non-standard or advanced data visualizations in the browser.

Downloads

110

Readme

🎨📈 funky-graphs

A JavaScript library for creating advanced, interactive 3D data visualizations in the browser. Built with various JavaScript libraries for stunning visual effects.

Installation and Setting Up Your Environment

Install via npm (write this in the terminal): npm install funky-graphs Set up an HTML file and create a div to host your graph:

<!DOCTYPE html>
<html>
<head>
    <title>My Data Visualization</title>
    <style>
        #plotContainer {
            width: 800px;
            height: 600px;
            border: 1px solid #eee;
            margin: 20px auto;
        }
    </style>
</head>
<body>
    <h1>Revenue Over Time</h1>
    <div id="plotContainer"></div>
    <script type="module" src="./app.js"></script>
</body>
</html>

Create a javascript file and import the graph(s) of your choice:

import { createWaterfallPlot } from 'funky-graphs';
Call the function and pass the relevant data and parameters in!
createWaterfallPlot('./data.csv', 'chart-container', 'light', 'Time', 'Revenue');

Example Usage

Radial Histogram

Check out the documentation

createRadicalHistogram('/src/data.json',
    "radial-histogram",
    'dark',
    600,
    600,
    150,
    "genre"
    );

Butterfly Chart

Check out the documentation

import { createButterflyChart } from 'funky-graphs';

createButterflyChart({
  containerSelector: '#chart',            // html div id for chart
  statusSelector: '#statusMsg',           // id for status text
  sortButtonSelector: '#sortBtn',         // id for sort button
  labels: { left: 'Exports', right: 'Imports' }, // left and right axis labels
  dataSource: {
    type: 'csv',                          // data file type
    url: 'countries.csv',                 // name of csv file
    categoryCol: 'country',               // category name column
    leftCol: 'exports',                   // left side values
    rightCol: 'imports',                  // right side values
    rightScale: 1                         // scale factor for right side
  },
  chartTitle: 'Exports vs Imports by Country', // chart title text
  initialMode: 'dark'                     // color theme
});

Pictorial Graph

Check out the documentation

import { createPictorialGraph } from './index.js';

const shapes = {
  person: {
    name: 'Human',
    value: 5.7,
    color: '#8a8affff',
    paths: { definition: 'M28.64-6.248c-.352-3.984-3.56-7.656-7.632-8.032-2.2-.2-4.488-.232-6.816-.192C21.752-18.64 19.408-33.128 8.416-31.928c-9.776 1.064-10.448 13.608-3.52 17.464-2.392-.04-4.76-.016-7.016.192-4.072.376-7.28 4.048-7.632 8.032-.768 8.592.568 18.272 0 26.984.664 4.304 6.472 4.432 7.344.168l.016-23.008.312-.448 1.2-.024v64.064c0 .128.336 1.248.416 1.464.608 1.568 2.008 2.456 3.544 2.968h1.696c1.6-.56 2.904-1.304 3.56-2.944.088-.224.4-1.16.4-1.296v-37.928c.16-.2.432-.304.712-.32.28.008.544.112.712.32v37.928c0 .144.312 1.072.4 1.296.656 1.64 1.968 2.384 3.56 2.944h1.696c1.536-.512 2.936-1.4 3.544-2.968.088-.216.416-1.344.416-1.464V-2.576l1.2.024.312.448.016 23.008c.872 4.264 6.68 4.128 7.344-.168-.568-8.704.76-18.392 0-26.984Z', max: 5.7 }
  },

  animal1: {
    name: 'Cat (Animal)',
    value: 1.0,
    color: '#8bff8bff',
    paths: { definition: 'M41.4 51.8c0 0 0 .6-.3.8-1.3 1.7-4.9 1.4-6.8 1s-1.3-.6-1.7-.6-1 .5-1.5.6c-2.3.4-6.1.7-7.2-1.9-4 .5-8.2.4-12.1-.8-13.5-4.1-11.9-18.7-8.5-29.5s5.5-12.1 4.2-17-4.5-3.8-2.7-7.1 6.6-.3 8 2.2c7.4 13-11.5 30.2-1 42.4s3 3 4.2 2c-2.5-5.5-5.7-13.3-2.6-19.1s2.9-3.1 4-4.9c.3-8.9 1.5-17.3 3.2-26s2.5-8.6 2-11.2-2.1-3.8-2.7-5.7c-.9-2.7 0-5.1 0-7.9s-.6-3.6-.7-5.3-.2-6.9 1.1-7.3c2.4-.8 5.3 3.9 6.8 5.1s2.1.7 4.2.6 3.7.4 5 .4 3.8-3.5 5.3-4.7 2.7-2 3.6-1.2c2 1.7.2 10.3.1 12.8s.6 3.7.5 5.5c-.3 2.7-2.5 5.6-3 8.3s1.2 7.2 1.7 10c1.3 6.5 2.4 13 2.9 19.6s0 4.9.3 6.7 2.4 2.7 3.2 3.7c4.4 5.8 1.1 14.3-1.6 20.2s-1.9 3.1-2.2 4', max: 1.0 }
  },

  animal2: {
    name: 'Dog (Animal)',
    value: 1.3,
    color: '#8bff8bff',
    paths: { definition: 'M64 35.9c-2.2-3.2-6.4-3.8-10-3.1.5-.2 1.7-.8 2.5-2.1.6-1 .8-1.9.8-2.4 1.5 1.2 3.8 2.7 7 3.7 4.2 1.3 8.3 1.2 8.4.8 0-.3-2-.5-5.3-2-4.8-2.2-5.8-4.1-6.2-4.8-.5-1-.6-2-.7-2.3-.2-1.3 0-1.8.2-4.6.2-2.1.1-2.9 0-3.1 0-.3-.1-1.5-.4-2.7-.7-2.9-2.8-6-5.9-7.8-.9-.5-1.6-.8-2.1-.9 4-13.3 2.3-21.5-.3-26.5-2.9-5.8-7.3-11.4-5.4-17 .5-1.6 2.2-5.2 1.3-9.4-.2-.8-.6-2.2-.6-2.2-.1 0 1.7 9.9 3.9 9.9.3 0 .6-.2.7-.3 2.7-2.5 5.3-6.7 6-7.7 2.9-4.5 5.1-4.3 5.1-6.6 0-1.4-.9-2-4.6-5.8-6.4-6.5-6.9-7.8-9.3-8.3-2.2-.4-2.9 0-5.8-.4-1.3-.2-3.2-1.3-4.6-1.7-3-.8-5.8-.9-8.9-.2-2.4.5-4.8 1.8-7.2 2-4.4.3-4.9 0-8.4 3-2.6 2.1-6.1 5.1-8.4 7.5-3.5 3.8 1.4 9.6 4.2 12.2 1.5 1.4 3.4 2.5 4.5 4.4.6.9.7 2.4 2.2 2 0 0 .5-.1.9-.6.6-.7 2.4-8.1 2.1-8.2-.2 0-1.1 2.8-.7 5.5.5 2.7 2.1 3.8 2.8 5.3 2.4 4.7-3.9 11.4-6.7 17.2-2.5 5-4.1 13-.1 25.7-1 .4-2.7 1.4-3.1 1.7-5 3.6-6 9.6-4.6 15.3 1.1 4.4 3.7 8.1 6.6 11.5-4-1.4-10.8.6-11.2 5.5 0 .3 0 1.2.4 1.9.5.7 1.4 1.3 5.6 1.5 1.4 0 3.4.1 5.9 0 .1 1.1.6 2 1.3 2.3.4.2.8.2.8.2.4 0 .6-.3 1.1-.2.4 0 1.1.6 1.8.7.7 0 1.4-.2 2.1-.1 1.2 0 1.7.4 3.1 0 .4-.1.7-.4 1.1-.5.4 0 .8.1 1.2.1 1.1 0 1.9-.3 2.4-.8 1.5-1.4-.5-4.9.4-5.4.3-.2 1 0 2.5 1.4h2.7c1.5-1.4 2.1-1.5 2.4-1.3.9.6-.9 3.9.4 5.2.5.5 1.4.8 2.5.8 1.4 0 1 0 2.3.3 1.3.3 2.3-.2 3.2-.1.6 0 1 .3 1.8.2.7 0 1.3-.6 1.8-.7.8-.1 1.1.2 1.6.1.5-.1 1.1-.6 1.6-2.1 3.5.3 6.3 0 8.1-.5 2.8-.6 3.5-1.2 3.8-1.9.6-1.3-.5-2.9-.9-3.5Z', max: 1.3 }
  }};

createPictorialGraph({
  containerId: "container",
  title: "Height Comparison Graph",
  xAxis: { categories: ["Type"] },
  yAxis: { labels: { format: "{value} ft" } },
  legend: { enabled: true },
  shapes,

  buttonsSelector: "#options-wrapper button",
  colorModeSelector: 'input[name="color-mode"]'
});

Waterfall Plot

Check out the documentation

import { createWaterfallPlot } from 'funky-graphs';

createWaterfallPlot("./public/revenues.csv", // path of the csv
    'plotContainer', // html div id
    'dark', // color theme
    'title', // title of graph
    0, 0, 0, // 3d title pos (x,y,z)
    0, 5, 0, // iso title pos (x,y,z)
    'hello', 'Revenue', // x and y labels 
    1, // label distance from axes 
    2, // scaling label size
    1.1 // scaling tick size 
);