NYCPlanning/labs-migration-viz

Name: labs-migration-viz

Owner: NYC Planning

Description: A single-page interactive visualization of historic U.S. Census migration data for New York City

Created: 2017-06-15 16:50:19.0

Updated: 2017-12-28 18:29:36.0

Pushed: 2017-12-26 21:11:29.0

Homepage: https://migration.planning.nyc.gov/

Size: 175

Language: JavaScript

GitHub Committers

UserMost Recent Commit# Commits
Andy Cochran2017-12-21 16:03:55.014
Chris Whong2017-12-26 21:11:12.068
Matt Gardner2017-12-20 17:29:16.05
Andrew Feierman2017-06-26 22:16:48.02
kschmidtDCP2017-06-27 19:44:09.04

Other Committers

UserEmailMost Recent Commit# Commits

README

NYC Historic Migration Data Visualization

A single-page interactive visualization of historic U.S. Census migration data for New York City built with the guidance of NYC Planning's Population Division

The project's goals are as follows:

  1. To create a compelling web experience for exploring NYC migration trends data, in support of a broader initiative by the population division highlighting migration patterns.
  2. To create a re-usable template for future single-page dataviz projects, and a fully-functional project that can be used for learning basic web development and data visualization with d3.js.

Screenshot

How we work

NYC Planning Labs takes on a single project at a time, working closely with our customers from concept to delivery in a matter of weeks. We conduct regular maintenance between larger projects.

How you can help

In the spirit of free software, everyone is encouraged to help improve this project. Here are some ways you can contribute.

Read more about contributing.

Requirements

You will need the following things properly installed on your computer.

Local Development
Architecture

This project uses Bootstrap for layout, and a custom D3.js chart.

Deployment

This project can be deployed on any static web server.

Contact Us

You can find us on Twitter at @nycplanninglabs, or comment on issues and we'll follow up as soon as we can. If you'd like to send an email, use labs_dl@planning.nyc.gov


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.