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Data Science for Homelessness Data: QlikView, Tableau, & TIBCO Spotfire
Dr. Brand NiemannDirector and Senior Data Scientist/Data Journalist
Semantic Communityhttp://semanticommunity.info/
http://www.meetup.com/Virginia-Big-Data-Meetup/ http://www.meetup.com/Federal-Big-Data-Working-Group/
http://www.meetup.com/Northern-Virginia-Semantic-Web-Meetup/ http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup
June 1, 2015
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GartnerBI analyst JoshParenteau: BI MagicQ: "buyers are buying ease-of-use:
Tableau, QlikView & TIBCO Spotfire are easy to use"
https://twitter.com/moc_tib
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Averages Hide Information: Analysis of the US Homeless Population
29 March 2015 by Michael O'Connell: http://www.tibco.com/blog/?p=15773
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Homelessness Data Sources• UK Government Homelessness Statistics:
– Statutory homelessness– Homelessness prevention and relief– Rough sleeping– Live tables
• Homeless Analytics Initiative:– Dashboard– Homelessness Analytics Initiative Methodology
• Fairfax Virginia County:– Data from the Community Partnership to Prevent and End Homelessness– Highlights from the 2014 Point-in-Time Count of People Experiencing
Homelessness
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UK Government Homelessness Statistics: Statutory Homelessness
https://www.gov.uk/government/statistics/statutory-homelessness-in-england-october-to-december-2014
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Homeless Analytics Initiative: Dashboard
http://homelessnessanalytics.org/map/
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Homelessness Analytics Initiative Methodology: Data.HUD.gov
http://data.hud.gov/
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Homelessness Analytics Initiative Methodology: Data.HUD.gov Data Sets
http://data.hud.gov/data_sets.html
Google Chrome Find: HomelessFound Spreadsheet and Shape Files
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Highlights from the 2014 Point-in-Time Count of People Experiencing Homelessness in Fairfax Virginia County
http://www.fairfaxcounty.gov/homeless/point-in-time/pit-2014.htm
My Note: See Data Tables Below
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Data Science for Homeless Data: MindTouch Knowledge Base
Data Science for Homeless Data
My Note: Use Google Chrome Find
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Data Science for Homeless Data: Excel Knowledge Base
http://semanticommunity.info/%40api/deki/files/33160/HomelessnessData.xls?origin=mt-web
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Data Science for Homeless Data: Spotfire Cover Page
Web Player
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Data Science for Homeless Data: Spotfire United Kingdom Homelessness
Web Player
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Data Science for Homeless Data: Spotfire Homelessness Analytics Initiative
Web Player
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Data Science for Homeless Data: Spotfire Fairfax Virginia County
Web Player
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Some Conclusions and Recommendations
• The Gartner Business Intelligence & Analytics Summit, March 29, 2015, in Las Vegas, NV, featured a BI Bake Off: Visual Data Discovery with Qlik, SAS, Tableau and TIBCO.
• Michael O’Connell, Chief Data Scientist, TIBCO Software, has provided his results, but the data set is proprietary.
• The author has provided an open data set for a Bakeoff at the June 1st Federal Big Data Working Group Meetup.
• The data set is documented in a knowledge base and the results for UK, US HUD-VA HAI, and Fairfax Virginia County are shown in a TIBCO Spotfire file.
• Homeless data analytics and visualizations can inform decision makers and the public about the statistics and geographic “hot spots” of this serious social problem.
http://blogs.gartner.com/cindi-howson/2015/03/11/bi-bake-comes-gartner/