Cleaning and Preparing Data in Python
About
Fix identifiers, types, special codes, duplicates and geometry problems with pandas and GeoPandas
Objectives
- Recognize the common problems of raw tables and layers, and choose a fix for each
- Keep identifiers as text, convert types, and turn special codes into missing values
- Judge the reliability of ACS estimates with the coefficient of variation
- Create points from coordinates, recode categories, and decide what counts as a duplicate
- Check and repair geometries, and confirm each cleaning step with a count, a join or a map
Instructor
Aniket Dev Roy
Discussions
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