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.
DataService_WebSite
Forked from timwood/DataCorps_WebSiteThe website for the Commerce Data Service - A startup within the Department of Commerce
Source Files from NetZero
Project to develop a bot that is built to push Census data to Wikidata
This repo contains code for the Commerce Data Academy website.
Power disaggregation model for Net-Zero Energy Residential Test Facility (NZERTF)
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.
A Python wrapper for the US Census API. Thanks to Sunlight Labs.
Data Usability Project tutorial on getting started with NOAA's global weather forecasting data. Produced by Mapbox
Commerce Data Service, Data Science team product focused on identifying use cases of VIIRS satellite imagery
Revised Data Usability project website
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!
A web resource for getting started with US Dept of Commerce data
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.
citysdk
Forked from uscensusbureau/citysdkUser-friendly javascript SDK for US Census Bureau data, including simple integrations to facilitate mash-up of other open datasets.
This is a set of scripts to download Patent Trials and Appeals Board data, munge, and load into a Solr instance.
beaR-1
Forked from us-bea/bea.RbeaR: A library for use with BEA’s API
Repository of slides for the 2016 White House Open Data Innovation Summit - Economic Growth Track.
A series of high value datasets that developers in the private sector can innovate on top of to fuel public good
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
How often should we update our software to stay secure? The National Institute of Standards and Technology (NIST) maintains a database of reported vulnerabilities. We can take a look and try to get some answers.
Hail storms can cause harm to people and property. This R tutorial with leaflet.js + Google Charts integration focuses on getting started with severe weather data to assess and map hail risk around the US. Part of the Commerce Usability Project (CUP).
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.
Predicting Income: Building a Classifier from Census Data, an end-to-end machine learning example using Pandas and Scikit-Learn
Twitter data ingestion tool
Part 2 of a Commerce Data Usability Project tutorial on animating atmospheric rivers on web maps. Produced by Mapbox.
