Dirty Data: Cleaning Up the Mess

Data Analysts and developers are often presented with imperfect datasets that require significant effort to prepare them for accurate analysis and trustworthy results. In fact, more time is often spent cleaning up messy data than performing the analysis, and obviously bad data leads to bad conclusions.

This talk will highlight some of the typical “dirty data” problems and will review programmatic solutions to solve them.