Most data analysis focuses on the analysis and presentation of data, as if the data are somehow divine. Most people remain blissfully unaware of the fact that all data has to be sourced and that sourcing requires the application of a measurement process. The measurement process always introduces discrepancies between the expected result and the actual result. This talk presents examples of bad data presentation and then shows you how to make measurement discrepancies explicit.

April 11, 2020