Chart selection
Which Charts Are Actually Useful for a CSV?
More charts do not automatically create more insight. The best CSV dashboard uses the smallest set of views that explains the question, then leaves the underlying rows available for verification.
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Understand
Start with the brief and evidence.
Act
Ask, edit, filter, and export.
Use a line chart for change over time
A date or time field paired with a numeric metric can show direction, spikes, and seasonality. If the file has no reliable time field, do not invent a timeline just to fill a chart slot.
Use bars to compare groups
Bar charts work well for categories, products, outlets, statuses, or segments when the labels remain readable. Sort the values and limit the first view to the most useful groups; let the user inspect the full data separately.
Use distributions and tables to check the story
A distribution helps reveal spread and outliers, while a table answers the exact-row question. On a phone or tablet, tap-to-inspect values and a View Data fallback matter more than hover-only tooltips.
Common questions
Should every CSV get the same charts?
No. The available columns and the user’s question should determine which views are useful.
How do mobile users read chart details?
The mobile experience should use tap-to-inspect details, readable summaries, and a table fallback rather than relying on a mouse cursor.
Keep exploring
See what your own CSV is saying.
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