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

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Presentation on theme: "Data Science for Homelessness Data: QlikView, Tableau, & TIBCO Spotfire Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community."— Presentation transcript:

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

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

3 Averages Hide Information: Analysis of the US Homeless Population 29 March 2015 by Michael O'Connell: O'Connellhttp://www.tibco.com/blog/?p=

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 4

5 UK Government Homelessness Statistics: Statutory Homelessness 5 https://www.gov.uk/government/statistics/statutory-homelessness-in-england-october-to-december-2014

6 Homeless Analytics Initiative: Dashboard 6

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

8 Homelessness Analytics Initiative Methodology: Data.HUD.gov Data Sets 8 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 9 My Note: See Data Tables Below

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

11 Data Science for Homeless Data: Excel Knowledge Base 11

12 Data Science for Homeless Data: Spotfire Cover Page 12 Web Player

13 Data Science for Homeless Data: Spotfire United Kingdom Homelessness 13 Web Player

14 Data Science for Homeless Data: Spotfire Homelessness Analytics Initiative 14 Web Player

15 Data Science for Homeless Data: Spotfire Fairfax Virginia County 15 Web Player

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 1 st 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. 16


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