Exploring a Dataset with Pandas
Less than 1 minute to read
What I learned
- How to inspect the structure and quality of a dataset.
- How to select, filter, group, and aggregate rows.
- How missing values can influence an analysis.
Examples to add
- Loading a CSV into a DataFrame.
- Finding missing and duplicated values.
- Grouping observations and summarizing the results.
Questions to revisit
- When should missing data be removed instead of imputed?
- Which visualizations best communicate the distribution of a feature?