• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

White House open-sources budget data on GitHub

February 3, 2015   Big Data

For the first time, the White House has open-sourced the president’s budget.

Among many other announcements related to the White House’s fiscal year 2016 budget, the administration said that for the first time, it was making the data behind the budget available on GitHub, a data-sharing site.

“This year we are releasing all of the data included in the President’s Fiscal Year 2016 Budget in a machine-readable format here on GitHub,” the White House wrote. “The Budget process should be a reflection of our values as a country, and we think it’s important that members of the public have as many tools at their disposal as possible to see what is in the President’s proposals.”

The White House said it invites anyone to “create their own visualizations or products from the data.”

According to the administration, the budget data repository contains three files that comprise “an extract” of the Office of Management and Budget (OMB) budget database. “These files can be used to reproduce many of the totals published in the budget,” the White House wrote, “and examine unpublished details below the levels of aggregation published in the budget.”

The White House also published the full budget document on Medium.

More information:

GitHub is the best place to build software together. Over 4 million people use GitHub to share code. With the collaborative features of GitHub.com, our desktop and mobile apps, and GitHub Enterprise, it has never been easier for indivi… read more »

Powered by VBProfiles

 


Like this story? Want to learn more? On February 23–24, our fifth annual VentureBeat Mobile Summit will tackle 6 big opportunities for business to leverage mobile to grow. The invitation-only Summit will gather the top 180 executives at the scenic Cavallo Point Resort in Sausalito, Calif., to discuss issues like this. Request an invitation.

Recommended article: Chomsky: We Are All – Fill in the Blank.
This entry passed through the Full-Text RSS service – if this is your content and you’re reading it on someone else’s site, please read the FAQ at fivefilters.org/content-only/faq.php#publishers.

VentureBeat » Big Data News | VentureBeat

budget, data, GitHub, House, opensources, White
  • Recent Posts

    • New Customer Experience Needs and Commerce Trends for 2021
    • A data transformation problem in SQL and Scala: Dovetailing declarative solutions
    • George Wallace Joins Laverne Cox For Comedy Titled ‘Clean Slate’
    • How Microsoft Azure DevOps and Dynamics 365 CRM Work Together to Improve Service Responsiveness
    • The Benefits of Dynamics 365 Online Versus On-Premise
  • Categories

  • Archives

    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited