Thanks to Jon Sidhu @JMSidhu for introducing me to #Mirador, a new free #DataViz tool designed to explore large data sets - especially epidemiological data - to find correlations worth digging into with greater statistical tools.
Great example of how important it is to ukase context when analyzing data. In this case the U.S. Census Bureau adds context by supplementing the old definition of poverty to take into account the cost of obtaining a minimum level of food, clothing and shelter for everyone in a household. And it adjusts the cosveto reflect the real doffs in cost by geography. it also makes other importanad adjustments.
AggData.com provides these free data sets in addition to data sets you can buy. The most useful free data sets are the 2006 list of U.S. Zip codes, the list of Canadian 3-digit post codes with lat and long, the list of all postal codes for all other countries and international dialing codes.
Gabriel Michael, a PhD candidate at George Washington University, subjected the IP Chapter of the secret Trans-Pacific Partnership, leaked by Wikileaks last week to statistical analysis.
Social Network Analysis is useful in many, many different ways. Here a Ph.D. student applied it to the list of which country supported and opposed various proposals in the negotiations. The analysis revealed that the votes of the U.S. (and Canada to a lesser degree) indicated their negotiating positions were isolationist, and more interested in supporting a unilateral position than a multi-national aggrement.
This is a great example of one of many ways social network analyisis can be applied to understanding the interconnection of ideas, people and ideaology.
Colore is a free online editor to create quick data visualization maps in your browser. Paste your data from an excel spreadsheet or send real-time updates.
Thanks to Jon Sidhu @JMSidhu for sharing this data visualization tool for showing geographic data on maps. While it's free, and makes it fairly easy to share and publish your #DataViz, I'm not sure it's easier to learn or use than @Tableau
Link to the actual DataViva site and application. It only has data for Brazil right now. I thought you'd be able to use the app when you visit web sites with other govt data but no. So it's mostly an illustration or tease of what it can do it if collects data from a gov't site.
This is the second post in a series of guest blog entries by Tableau Public authors for Design Month. Ryan Sleeper is the Manager of Data Visualization & Analysis at Evolytics in Kansas City, Missouri.
The Bigfoot Field Researchers Organization mainatins a database of sasquatch sightings. This map features all 3,313 reports from 1921 to 2013:
See how Josh uses bivariate analysis (e.g. sightings and population sparse vs. sightings proportionately rare to population, etc.) to show the number of sitings are unrelated to size of population where they're reported.