npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

reactjs-d3-universal

v0.1.1

Published

For all of your progressive data visualization needs

Downloads

25

Readme

CI

  • [Build Status

Why are we here?

  • ReactJS + D3 = data viz happiness

See demo here

Chart Types

  • Bar Chart
  • Pie Chart
  • Scatter Plot
  • Line Chart
  • Table
  • Force-Directed Graph
  • Pack Chart

Coming Soon

  • classnames for everything
  • default CSS styling
  • Radial Stacked Bar
  • stacked bar (currently works with regular bar chart but can be improved)
  • histogram
  • combination chart
  • tooltips (with filtering)
  • legends (with filtering)
  • filtering
  • interactivity
  • animations

Requirements

  1. Universal/Isomophoric rendering
  2. React handles all node creation (sans axis)
  3. Responsive design
  4. accessible
  5. semantic
  6. configurable with sensible defaults

Examples

  import Chart from 'reactjs-d3-universal';
  import React from 'react';

  const margins = {
    bottom: 20,
    left: 60,
    right: 60,
    top: 20,
  };

  const data = [
    {
      gender: 'Male',
      lastName: 'Hall',
      total: 141.92,
    }, {
      gender: 'Female',
      lastName: 'Jenny',
      total: 149.79,
    }, {
      gender: 'Klingon',
      lastName: 'Warf',
      total: 134.23,
    },
  ];

example table

  <Chart
    chartType='table'
    data={data}
    filterable={true}
    id='paying-customers-table'
    sortable={true}
  />

example bar

  <Chart
    chartType='bar'
    colorScaleScheme='schemeCategory20'
    colorScaleType='basic'
    data={data}
    datumLabels={['totalEmployees']}
    xAxis={true}
    xAxisLabel='company locations'
    xScale={true}
    xValue='location'
    yAxis={true}
    yAxisLabel='total employees'
    yValue='totalEmployees'
    yScale={true}
    id='employees-at-each-location'
    margins={{
      bottom: 60,
      left: 50,
      right: 10,
      top: 10,
    }}
  />

example pie

  <Chart
    chartType='pie'
    colorScaleScheme='schemeCategory20'
    colorScaleType='basic'
    data={data}
    datumLabels={['status', 'total']}
    id='open-issues'
    margins={{
      bottom: 40,
      left: 80,
      right: 80,
      top: 40,
    }}
    xAxis={true}
    xAxisLabel='ISSUES BY TYPE'
    yValue='total'
  />

example line

  <Chart
    chartDataGroupBy='type'
    chartType='line'
    colorScaleScheme='schemeCategory10'
    colorScaleType='basic'
    data={data}
    datumLabels={['total']}
    id='paying-customers'
    xAxis={true}
    xAxisLabel='Date'
    xScale={true}
    xScaleTime={true}
    xScaleTimeFormat='%Y/%m/%d'
    xValue='date'
    yAxis={true}
    yAxisLabel='Total Paying Customers'
    yScale={true}
    yValue='totalPayingCustomers'
    margins={{
      bottom: 70,
      left: 70,
      right: 10,
      top: 10,
    }}
  />

example force-directed graph

  <Chart
    chartDataGroupBy='id'
    chartType='forceDirectedGraph'
    colorScaleScheme='schemeCategory20'
    colorScaleType='basic'
    data={data}
    id='force-graph'
    margins={{
      bottom: 60,
      left: 50,
      right: 50,
      top: 60,
    }}
  />

example pack chart

  <Chart
    chartType='pack'
    colorScaleScheme='schemeCategory20'
    colorScaleType='basic'
    // you must structure your data like this https://bl.ocks.org/mbostock/7607535
    data={data}
    datumLabels={['name']}
    id='pack'
    margins={{
      bottom: 10,
      left: 10,
      right: 10,
      top: 10,
    }}
  />