Tabular data is present everywhere! And for most analytics, answers are available in a few important columns. Tables can have many columns, but some columns are more significant than others. Each column in a tabular dataset represents a unique feature of the dataset. Once we have identified a column of interest, our goal in this chapter is to make visualizations in Superset that help us to explore and interpret that data.
In this chapter, we will understand columnar data through distribution plots, a point-wise comparison with reference columns, and charts that are just one-line summaries:
- Distribution: Histogram
- Comparison: Distribution box plots for subsets of column values
- Comparison: Compare distributions of columns with values belonging to different scales
- Comparison: Compare metrics and distributions between subsets of column values
- Summary...