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Hubway Data Visualization Challenge: Spotfire Dr. Brand Niemann Director and Senior Data Scientist Semantic Community

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Presentation on theme: "Hubway Data Visualization Challenge: Spotfire Dr. Brand Niemann Director and Senior Data Scientist Semantic Community"— Presentation transcript:

1 Hubway Data Visualization Challenge: Spotfire Dr. Brand Niemann Director and Senior Data Scientist Semantic Community http://semanticommunity.info/ http://datacommunitydc.org/blog/2013/08/cloud-soa-semantics-and-data-science-conference/ https://silverspotfire.tibco.com/us/library#/users/bniemann/Public http://semanticommunity.info/Data_Science/Doing_Data_Science December 7, 2013 1

2 Explanation Discovered the Hubway Data Visualization Challenge while preparing my lectures for teaching a Practical Data Science for Data Scientists class using the new book Doing Data Science. – Every time a Hubway user checks a bike out from a station, the system records basic information about the trip. See if you can answer questions from the data. Decided to take the challenge even though it was over by building a dynamic Knowledge Base instead of the Hubway Seeking Metro- Boston static figure. – See 67 entries and how to submit@hubwaydatachallenge.orgsubmit@hubwaydatachallenge.org Built a Knowledge Base in a spreadsheet (33 data sets) and Spotfire (27 tabs). I used the CSV files and Shapefile (10MB ZIP), the aggregated rebalancing data sample, and the related data (Census, neighborhoods, bike facilities, elevation, etc.) packaged up as Hack Day Treat (100MB ZIP). 2

3 Hubway Data Visualization Challenge http://hubwaydatachallenge.org/ 3

4 Hubway Seeking Metro-Boston Figure 9-17. This is a visualization by Eurry Kim and Kaz Sakamoto of the Hubway shared-bike program 4

5 Knowledge Base: Spreadsheet http://semanticommunity.info/@api/deki/files/27392/DoingDataScience.xlsx 5

6 Knowledge Base: Spotfire 6

7 Exploratory Data Analysis: Metadata 7

8 Exploratory Data Analysis: Trips 8

9 Exploratory Data Analysis: Trips Filter by Registered 9

10 Exploratory Data Analysis: Trips Filter by Casual 10

11 Exploratory Data Analysis: Trips Filter by Female 11

12 Exploratory Data Analysis: Trips Filter by Male 12

13 Exploratory Data Analysis: Stations 1 13

14 Exploratory Data Analysis: Stations 2 14

15 Exploratory Data Analysis: Station Capacity 15

16 Exploratory Data Analysis: Rebalancing 16

17 Exploratory Data Analysis: Census 2010 Blocks 17

18 Exploratory Data Analysis: Somerville Neighborhoods 18

19 Exploratory Data Analysis: Open Space Polygons 19

20 Exploratory Data Analysis: MBTA Stations 20

21 Exploratory Data Analysis: MBTA Lines 21

22 Exploratory Data Analysis: Library Points 22

23 Exploratory Data Analysis: InfoGroup Employers 23

24 Exploratory Data Analysis: Hydro 25k Polygons 24

25 Exploratory Data Analysis: Farmers Markets 25

26 Exploratory Data Analysis: EOT Roads 26

27 Exploratory Data Analysis: Colleges 27

28 Exploratory Data Analysis: Cambridge Neighborhoods 28

29 Exploratory Data Analysis: Boston Neighborhoods 29

30 Exploratory Data Analysis: 2009-2010 Crashes 30

31 Exploratory Data Analysis: VMT 250m Grid 31

32 Exploratory Data Analysis: Hubway Municipalities 32

33 Exploratory Data Analysis: Travel Time to Work 33

34 Exploratory Data Analysis: Race Ethnicity 34

35 Exploratory Data Analysis: Population by Gender and Age 35

36 Exploratory Data Analysis: Median Household Income 36


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