The job of a data journalist is to turn data into a story. If you start with a spreadsheet of cancer rates, the story might be "people living near oil refineries had three times the rate of lung cancer." Or it might not be, because you could be mis-interpreting the data in some way. This recorded talk is about how not to get fooled when you go looking for stories in your data.
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This lecture was given as part of the 15th Annual Science Immersion Workshop for Journalists at the Metcalf Institute for Marine & Environmental Reporting, Rhode Island. The slides are here, and the Github repo with all the R code needed to reproduce the examples in the talk is here.
###Interpreting data
A data journalism story is usually ab