@CommerceDataService

Commerce Data Service

We're the U.S. Department of Commerce's data research and technology consultancy, focused on advising and building data products in America's Data Agency.

  • Washington DC
  • A web resource for getting started with US Dept of Commerce data

    JavaScript 2 7 Updated Nov 27, 2017
  • Website for visualizing and exploring Census income data.

    CSS 5 9 Updated Oct 25, 2017
  • Tutorial for using nighttime imagery from Suomi NPP's VIIRS instrument

    R 11 7 Updated Sep 27, 2017
  • The Opportunity Project

    CSS 55 Updated Sep 21, 2017
  • Project to develop a bot that is built to push Census data to Wikidata

    Python 4 4 MIT Updated Aug 15, 2017
  • Experimental CPC to NAICS crosswalk developed using NLP techniques.

    CSS 3 MIT Updated May 2, 2017
  • A quick script to process CPC code definition XML files

    Python 1 Updated Apr 5, 2017
  • This repo contains code for the Commerce Data Academy website.

    HTML 4 4 Updated Mar 28, 2017
  • Web crawler to get relevant information about Census website parent and child topics.

    Python 2 Updated Mar 22, 2017
  • User-friendly javascript SDK for US Census Bureau data, including simple integrations to facilitate mash-up of other open datasets.

    JavaScript 6 146 Updated Mar 22, 2017
  • The website for the Commerce Data Service - A startup within the Department of Commerce

    JavaScript 3 13 Updated Mar 17, 2017
  • As part of an EU-US Transatlantic Open Data Partnership, the eu.us.opendata R library was developed to provide access to comparable datasets from the EU and the US. This version is in alpha. Feedback welcome -- submit an issue via this repo!

    R 23 8 EUPL-1.1 Updated Mar 10, 2017
  • The CDAC provides expert guidance and insight to the Department of Commerce's data leadership, covering a wide range of pressing issues in data and technology.

    CSS 12 Updated Feb 10, 2017
  • Source Files from NetZero

    CSS 6 Updated Jan 23, 2017
  • Power disaggregation model for Net-Zero Energy Residential Test Facility (NZERTF)

    HTML 2 Updated Jan 12, 2017
  • Data Usability Project tutorial on getting started with NOAA's global weather forecasting data. Produced by Mapbox

    CSS 12 9 Updated Nov 30, 2016
  • Revised Data Usability project website

    1 Updated Nov 22, 2016
  • HTML 6 Updated Nov 17, 2016
  • As part of the Commerce Data Usability Project, experts from Deloitte and Datawheel have created a tutorial that explores United States traffic congestion through the Data USA platform.

    CSS 1 1 Updated Nov 1, 2016
  • This is a set of scripts to download Patent Trials and Appeals Board data, munge, and load into a Solr instance.

    Python 6 11 Updated Oct 14, 2016
  • CSS 1 Updated Sep 13, 2016
  • Using the Census Bureau's Business Dynamics API, DataScience.com has developed a tutorial on business survival rates using Python

    HTML 2 4 Updated Sep 13, 2016
  • Earth Genome describes how environmental data can be used to inform industry decision making and illustrates how to get started with Digital Elevation Model (DEM) data

    HTML 2 3 Updated Sep 1, 2016
  • read an xls file to create the image

    JavaScript 1 Updated Sep 1, 2016
  • Using NYC 311 data, Jonathan Auerbach and Chris Eshleman show how to use Bayesian methods to understand government service demand using storms, which serve as cleanly defined natural experiments. Part one in a two-part brings together NYC 311 data and Census data to set the stage for powerful statistical research.

    HTML 1 Updated Aug 15, 2016
  • Part 2 of a Commerce Data Usability Project tutorial on animating atmospheric rivers on web maps. Produced by Mapbox.

    HTML 2 2 Updated Jul 15, 2016
  • Python 1 11 Updated Jul 13, 2016
  • Template for formatting a CDUP Tutorial

    CSS 7 Updated Jul 5, 2016
  • Course materials offered by the Commerce Data Academy

    CSS 7 13 Updated Jun 28, 2016
  • Using NYC 311 data, Jonathan Auerbach and Chris Eshleman show how to use Bayesian methods to understand government service demand using storms, which serve as cleanly defined natural experiments. Part two brings together uncovers valuable insight for municipal policymakers.

    HTML Updated Jun 28, 2016