0.1.1 • Published 7 years ago

superspark v0.1.1

Weekly downloads
2
License
MIT
Repository
github
Last release
7 years ago

SuperSpark

Convey your data with small areas.

Install

npm i superspark

Or use yarn.

Use

Pass SuperSpark an array of objects with the property y set to a number.

import React from 'react'
import SuperSpark from 'superspark'

export default () => {
  const data = [{y:1}, {y:4}, {y:9}, {y:7}]
  return (
    <div>
      <h1>Magnificent Spark</h1>
      <SuperSpark data={data} />
    </div>
  )
}

Try it! You can replace everything in App.js of a freash create-react-app with this code. Remember to also run npm i superspark.

Props

  • data - Array of points containing a y property defining a number. (Example [{y:1}, {y:4}, {y:9}, {y:7}])
  • plot - Visualization type, one of 'bars', 'area', 'line' and 'dots' (default: 'bars')
  • color - A fill color string. (default: '#2ebd59')
  • width - In pixels. (default: 160)
  • height - In pixels. (default: 90)

Develop

This project is using Storybook to develop the component. In Storybook we develop the component for the different use cases by passing different props and see how it looks. Together with Storyshots we can test these stories with Jest snapshots. Very nice!

Prettier

Use Prettier, note the file .vscode/settings.json. If you use another editor than VS Code, check the prettier docs for you editor.

Start

Start Storybook on localhost:9009.

npm start

Start test runner(Jest) in watch mode.

npm test

Build

Build the distributed component file and github pages docs, which is the storybook.

npm run build