1

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

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

3

Averages Hide Information: Analysis of the US Homeless Population

29 March 2015 by Michael O'Connell: http://www.tibco.com/blog/?p=15773

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

https://www.gov.uk/government/statistics/statutory-homelessness-in-england-october-to-december-2014

6

Homeless Analytics Initiative: Dashboard

http://homelessnessanalytics.org/map/

7

Homelessness Analytics Initiative Methodology: Data.HUD.gov

http://data.hud.gov/

8

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

http://data.hud.gov/data_sets.html

Google Chrome Find: HomelessFound Spreadsheet and Shape Files

9

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

10

Data Science for Homeless Data: MindTouch Knowledge Base

Data Science for Homeless Data

My Note: Use Google Chrome Find

11

Data Science for Homeless Data: Excel Knowledge Base

http://semanticommunity.info/%40api/deki/files/33160/HomelessnessData.xls?origin=mt-web

12

Data Science for Homeless Data: Spotfire Cover Page

Web Player

13

Data Science for Homeless Data: Spotfire United Kingdom Homelessness

Web Player

14

Data Science for Homeless Data: Spotfire Homelessness Analytics Initiative

Web Player

15

Data Science for Homeless Data: Spotfire Fairfax Virginia County

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 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/