Guided path
Turn a Small Dataset into a Source-backed Story
A short path for inspecting one small data file, finding geographic context, and publishing a source-aware summary.
Leave with one inspected dataset, one saved context source, and one short summary that names its limits.
This rabbit hole is deliberately small. The goal is not to become a data journalist in half an hour; it is to avoid the common mistake of summarizing a dataset before you have inspected its shape, limits, and context.
Keep the final paragraph modest. A good source-backed summary says what you saw, where the source came from, what filter you used, and what the data does not prove.
Best for
- Curious users and builders who found a CSV but do not yet know whether it contains a useful story.
- Developers who want a source-aware data workflow before building charts or asking an AI assistant.
Before you start
- One small CSV or SQLite file that can be opened locally or in the browser.
- A place to save URLs, query notes, and the assumptions you are making while inspecting the source.
What you leave with
- A filtered table view or query note that captures the useful slice of the dataset.
- A short source-backed paragraph that states what the data can and cannot support.
Common pitfalls
- Jumping to a chart before checking column meanings, missing values, and source limits.
- Treating a map or API response as neutral context without checking attribution and coverage.
Follow-up moves
- Turn the inspected file into a small Datasette project if people need to browse it again.
- Add a diagram of the data flow when collaborators need to review how the source became a summary.
Route
- 01
Inspect the file first
Load a small CSV or SQLite file in Datasette Lite and identify the table, key columns, and one useful filter.
Datasette Lite - 02
Add place context
If the data includes locations, check one place in OpenStreetMap and preserve the attribution trail.
OpenStreetMap - 03
Make it browsable
If the data deserves repeat visits, move the cleaned file into regular Datasette for a stable browsing surface.
Datasette - 04
Diagram the source path
Use Mermaid to describe how the source file, filters, and context checks produced the final summary.
Mermaid
Tools and sources in this path
Datasette LiteOpen Datasette Lite with one small local CSV and try a filter before installing anything.
OpenStreetMapOpen OpenStreetMap and start with the About page, then inspect one familiar place on the map.
DatasetteOpen Datasette and start here: Put one cleaned CSV into SQLite.
MermaidOpen the Mermaid Live Editor and modify one example diagram before reading the full syntax guide.