A web resource for getting started with US Dept of Commerce data
Website for visualizing and exploring Census income data.
Tutorial for using nighttime imagery from Suomi NPP's VIIRS instrument
The Opportunity Project
Project to develop a bot that is built to push Census data to Wikidata
Experimental CPC to NAICS crosswalk developed using NLP techniques.
A quick script to process CPC code definition XML files
This repo contains code for the Commerce Data Academy website.
Web crawler to get relevant information about Census website parent and child topics.
The website for the Commerce Data Service - A startup within the Department of Commerce
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!
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.
Source Files from NetZero
Power disaggregation model for Net-Zero Energy Residential Test Facility (NZERTF)
Data Usability Project tutorial on getting started with NOAA's global weather forecasting data. Produced by Mapbox
Revised Data Usability project website
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.
This is a set of scripts to download Patent Trials and Appeals Board data, munge, and load into a Solr instance.
Using the Census Bureau's Business Dynamics API, DataScience.com has developed a tutorial on business survival rates using Python
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
read an xls file to create the image
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.
Part 2 of a Commerce Data Usability Project tutorial on animating atmospheric rivers on web maps. Produced by Mapbox.
Template for formatting a CDUP Tutorial
Course materials offered by the Commerce Data Academy
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.