Credit: Image by florianric on Flickr. Some rights reserved
DataBasic is a new suite of free tools for uncovering stories in data.

Developed by Rahul Bhargava, a researcher at MIT's Center for Civic Media, and Catherine D’Ignazio, journalism professor at Emerson College, it can be useful both for beginners and those more experienced in data wrangling.

The tools included in the DataBasic package are: WordCounter, for performing textual analysis, which can be particularly useful for fact-checking political speeches and presidential debates; SameDiff, to compare text files and highlight similarities; and WTFcsv, for simpifying complicated spreadsheets.

If you want to know more about how and why DataBasic was built, you can read the full interview on Storybench.

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