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HEAVY.AI Charting

Dimensional charting built to work natively with crossfilter rendered using d3.js.

Screenshots

Flights Dataset: Brushing on timeline with Bubble Chart and Row Chart

example1

Tweets Dataset: Brushing on timeline and hovering on Pointmap datapoint which displays row information

example2

Tweets Dataset: Using draw-js tool on pointmap to select specific areas on a map

example5

Examples

Visit our examples page for ideas of what can be created with HEAVY.AI Charting

Quick Start

Step 1: Install Dependencies
npm install #downloads all dependencies and devDependencies
Step 2: Run Start Script
npm run start
or
npm run watch

Synopsis

HEAVY.AI Charting is a superfast charting library that works natively with crossfilter that is based off dc.js. It is designed to work with HEAVY.AI Connector and HEAVY.AI Crossfilter to create charts instantly with our HeavyDB SQL Database. Please see examples for further understanding to quickly create interactive charts.

Our Tweetmap Demo was made only using HEAVY.AI Charting.

Documentation

Visit our API Docs for additional information on HEAVY.AI Charting

Testing

New components in HEAVY.AI Charting should be unit-tested and linted. All tests will be in the same folder as the new component.

+-- src
|   +-- /mixins/new-mixin-component.js
|   +-- /mixins/new-mixin-component.unit.spec.js

The linter and all tests run on

npm run test

To check only unit-tests run:

npm run test:unit

Linting

Please lint all your code in @heavyai/charting/. The lint config file can be found in .eslintrc.json. For new components, please fix all lint warnings and errors.

Scripts

Command Description
npm run start Copies files for examples and then serves the example
npm run build Runs webpack and builds js and css in /dist
npm run docs Creates and opens docs
npm run test Runs both linting and unit tests
npm run clean Removes node modules, dist, docs, and example files

Documentation

The charting library uses documentation.js for API documentation. Docs can be built and viewed locally with the npm run docs command.

Contributing

Interested in contributing? We'd love for you to help! Check out Contributing.MD