Data Flow Map Data tracks what happens. Every analysis follows a repeatable pattern of motions — source the data, focus on what matters, build the answer. A Data Flow Map documents that path so it can be read, shared, and repeated.
Get raw data, mix it with other contexts, and fix it for analysis.
Select the columns, rows, and order that matter.
Categorize and size the data into meaningful results, then ship them.
| Symbol | Name | Meaning |
|---|---|---|
| O | Get | Source a single location of data |
| X | Fix | Format, reorder, or extract useful data |
| + | Mix | Incorporate other sources |
| v | Cut | Drop the unwanted data |
| ^ | Keep | Keep the data that matters |
| \ | Sort | Order most to least important |
| ] | Box | Summarize the data into buckets |
| # | Size | Measure the size of the buckets |
| = | Ship | Deliver final results |
Steps group into flows — named sequences of motions. Each flow gets
an @tag so a map reads like a table of contents for the analysis.
This is a real map, rendered by the same component the product uses:
Monthly pipeline for the sales dashboard