| 词条 | Data USA | |||||||||||||||||
| 释义 |
| name = Data USA | title = Data USA | logo = Data USA Logo (blue).png | logo caption = | logo size = | logo alt = | screenshot size = | screenshot alt = | collapsible = | author = Deloitte, MIT Media Lab – Collective Learning, Datawheel | developer = Datawheel | released = {{Start date|2016|04|04}} | screenshot = | caption = Data USA Landing Page | discontinued = | latest release version = | latest release date = | latest preview version = | latest preview date = | status = | programming language = Python | operating system = | platform = | size = | language = English | language footnote = | genre = | license = Affero GPL | alexa = | website = {{URL|datausa.io}} | standard = | AsOf = }}Data USA is a free platform that allows users to collect, analyze, and visualize shared U.S. government data. Launched on April 4, 2016, Data USA is the product of an ongoing partnership between Deloitte, Massachusetts Institute of Technology (MIT) Collective Learning Group, and Datawheel.[1][2][3][4][5] ArchitectureData USA utilizes open data from seven data sources, cleaned and standardized into a PostgreSQL database, accessible via a public API.[6] The back-end of the site is driven by the python framework, Flask. VisualizationsThe visualizations found on Data USA are created in JavaScript using a combination of D3 and D3plus JavaScript libraries.[7][8] Data sourcesThe information and data visualizations found on Data USA make use of a dozen publicly available data sources:[9]
American Community Survey (ACS)The American Community Survey (ACS) is survey conducted regularly by the U.S. Census Bureau. Since 2000, it has replaced the long form U.S. Census that was formerly given once every ten years. Administered on a continuous monthly basis, the ACS aims to provide a steady stream of demographic, housing, social, and economic data.[17] American Community Survey (ACS) Public-Use Microdata Sample (PUMS)Public Use Microdata Sample is a data set made available by the U.S. Census Bureau and includes one year, three year, and five year chronologies. The PUMS is a set of untabulated records regarding individual people and individual housing units. For this reason, PUMS allows for custom data ETL (Extract, Transform, Load) manipulation.[18] Bureau of Economic Analysis (BEA){{empty section|date=May 2016}}Bureau of Labor Statistics (BLS){{empty section|date=May 2016}}University of Wisconsin County Health Rankings (CHR){{empty section|date=May 2016}}Integrated Postsecondary Education Data System (IPEDS){{empty section|date=May 2016}}O*Net Skills{{empty section|date=May 2016}}See also
References1. ^{{cite web|url=http://tech.mit.edu/V136/N12/data.html|title=Media Lab’s ‘Data USA’ aims to make government data easy to use – The Tech|author=Steve Lohr|publisher=}} {{Library-stub}}2. ^{{cite web|url=http://www.digitaltrends.com/web/mit-data-usa/|title=MIT DATA USA Turns U.S. Data into Visual Interface – Digital Trends|author=Bruce Brown|date=5 April 2016|work=Digital Trends}} 3. ^{{cite web|url=http://www.citylab.com/tech/2016/04/this-new-data-tool-brings-city-data-to-the-surface/476661/|title=MIT and Deloitte’s DataUSA Web Tool Makes City Data Easy to Access and Understand – CityLab|author=Tanvi Misra|work=CityLab}} 4. ^{{cite web|url=http://data-informed.com/datausa-visualizes-improved-insight-into-government-data/|title=DataUSA Visualizes Improved Insight into Government Data|work=Data Informed}} 5. ^{{cite web|url=https://www.nytimes.com/2016/04/05/technology/datausa-government-data.html?_r=0|title=Website Seeks to Make Government Data Easier to Sift Through|author=Steve Lohr|work=New York Times}} 6. ^{{cite web|last1=Speiser|first1=Jonathan|title=Data USA API|url=https://github.com/DataUSA/datausa-api/wiki|website=Github|accessdate=18 May 2016}} 7. ^{{cite web|title=D3plus|url=http://d3plus.org|accessdate=4 May 2016}} 8. ^{{cite web|title=D3plus|url=https://github.com/alexandersimoes/d3plus|website=GitHub|accessdate=4 May 2016}} 9. ^{{cite web|title=Data USA – About: Data Sources|url=http://datausa.io/about/datasets/|website=Data USA|accessdate=4 May 2016}} 10. ^{{cite web|url=https://www.census.gov/programs-surveys/acs/about/information-guide.html|title=ACS Information Guide|author=US Census Bureau|website=Census.gov|accessdate=20 May 2016}} 11. ^{{cite web|url=https://www.census.gov/programs-surveys/acs/technical-documentation/pums.html|title=PUMS Documentation|author=US Census Bureauwebsite=Census.gov|accessdate=20 May 2016}} 12. ^{{cite web|url=https://www.bea.gov/about/index.htm|title=About BEA|website=Bea.gov|accessdate=20 May 2016}} 13. ^{{cite web|url=http://www.bls.gov/bls/infohome.htm|title=About BLS|date=9 February 2016|website=Bls.gov|accessdate=20 May 2016}} 14. ^{{cite web|url=http://www.countyhealthrankings.org/|title=County Health Rankings & Roadmaps|work=County Health Rankings & Roadmaps|accessdate=20 May 2016}} 15. ^{{cite web|url=https://nces.ed.gov/ipeds/|title=The Integrated Postsecondary Education Data System|website=Nces.ed.gov|accessdate=20 May 2016}} 16. ^{{cite web|url=https://www.onetonline.org/|title=O*NET OnLine|website=Onetonline.org|accessdate=20 May 2016}} 17. ^{{cite web|author1=U.S. Department of Commerce|title=American Community Survey – Information Guide|url=https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf|website=www.census.gov|accessdate=11 May 2016|pages=2|format=PDF|date=April 2013}} 18. ^{{cite web|title=Public Use Microdata Sample (PUMS) Documentation|url=https://www.census.gov/programs-surveys/acs/technical-documentation/pums.html|website=United States Census Bureau|publisher=U.S. Census Bureau|accessdate=18 May 2016|date=June 22, 2015}} 4 : Internet in the United States|PostgreSQL|Datasets|Federal government of the United States |
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