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Data Cleaning Techniques
Mar 9 at 3:00 pm - 4:00 pm
You’ve got your data loaded, you start on your analysis, and… WHAM, missing values. WHAM, junk entries. WHAM, capitalization inconsistencies.
Data cleaning often feels like a chore, and we will often do as little as necessary. What if we took a more systemic approach? In this hands-on workshop, we’ll explore some common data issues to look for, tools, and techniques for cleaning it up, giving us better understanding of our data in the process and clearing the path for smoother data analysis and manipulation.
The session will be led by Aidan Feldman, who has been a technologist working with government and non-profits for the past seven years. He also teaches about code and data to public policy students at NYU.