1. Director and Senior Data Scientist/Data Journalist
Data Science for Homelessness Data: QlikView, Tableau, & TIBCO Spotfire
Dr. Brand Niemann
Director and Senior Data Scientist/Data Journalist
Semantic Community
June 1, 2015

2. GartnerBI analyst JoshParenteau: BI MagicQ: "buyers are buying ease-of-use: Tableau, QlikView & TIBCO Spotfire are easy to use"

3. Averages Hide Information: Analysis of the US Homeless Population
29 March 2015 by Michael O'Connell:

4. 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

5. UK Government Homelessness Statistics: Statutory Homelessness

6. Homeless Analytics Initiative: Dashboard

7. Homelessness Analytics Initiative Methodology: Data.HUD.gov

8. Homelessness Analytics Initiative Methodology: Data.HUD.gov Data Sets
Google Chrome Find: Homeless
Found Spreadsheet and Shape Files

9. Highlights from the 2014 Point-in-Time Count of People Experiencing Homelessness in Fairfax Virginia County
My Note: See Data Tables Below

10. Data Science for Homeless Data: MindTouch Knowledge Base
My Note: Use Google Chrome Find
Data Science for Homeless Data

11. Data Science for Homeless Data: Excel Knowledge Base

12. Data Science for Homeless Data: Spotfire Cover Page
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13. Data Science for Homeless Data: Spotfire United Kingdom Homelessness
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14. Data Science for Homeless Data: Spotfire Homelessness Analytics Initiative
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15. Data Science for Homeless Data: Spotfire Fairfax Virginia County
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16. 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.