Data management: Tips, tricks, and advanced topics#
Learning Objectives#
After working through this topic, you should be able to:
Explain at which point in the data processing pipeline you want to select the sample for analysis (e.g., imposing restrictions on observations being used)
Use metadata programmatically to avoid repetitive code when cleaning many similar variables
Combine variables from different data sources into a single variable
Apply strategies for handling variables that change their coding over time in a panel dataset
Materials#
Video:
Download the slides.