In this presentation, Eric Gundersen shows some real life examples of awesomeness that was achieved by opening up public data sets and making this information widely accessibly and talks about how to do this.
This presentation was given as part of the "Building Governmental Transparency" event hosted by the Center for American Progress on Friday, March 19, 2010. More details and video at http://www.americanprogress.org/events/2010/03/sunshine.html.
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Opening Large Data Sets
1. opening large data sets
via 鍖ickr: by www.pictobank.com
Thursday, March 11, 2010
3. Data Sources:
Original Polling Center Master list of 6,969 polling centers from the Independent
Election Commission (IEC).
IEC's election prelim results from September 16th, a 2,500 page PDF.
The Electoral Complaints Commission's (ECC) complaint data (which
aggregates only to the provincial level).
twitter.com/ericg
Thursday, March 11, 2010
4. we needed a data browser
Thursday, March 11, 2010
7. The system geo codes votes down the the district level. The political boundaries for this map covered 400 districts.
Density point visualization shows results based on the Highlighted stations criteria, in this case % of stations effected.
Thursday, March 11, 2010
8. Complex analysis: This Afghan ethnic distribution base layer is overlaid with districts won by Karzai (red dots) and
Abdullah (green dots). Dot size indicates the number of votes. Ethnic data is digitized from the Soviet Atlas Narodov Mira
Thursday, March 11, 2010
9. Interacting with the data: you can quickly drill down to any region, as the map zooms.
Thursday, March 11, 2010
10. Percent Population Urban by District Population by District
(2003-2004) AIMS CSO Population Statistics.
Settled Population by Province (2006-2007) Afghanistan Human
Development Report 2007, Center for Policy and Human
Development, Kabul University
Estimated votes, via IECs Master Polling Center list
Thursday, March 11, 2010
30. Map Data Sources:
Elevation information is from the SRTM (Shuttle Radar Topography Mission)
Road information from OpenStreetMap
Provincial and district data are from AIMS (Afghanistan Information Management
Services)
Thursday, March 11, 2010