Automatic charts from your spreadsheet
Instead of hand-picking every series in a chart builder or spending hours in Power BI or Tableau building views from scratch, Sheetavo reads your column names and values, infers the best chart types for your data, and generates a full first-pass dashboard you can refine in minutes. No drag-and-drop canvas. No chart configuration dialogs. Just upload a spreadsheet and see your data visualised.
How automatic chart generation works
Sheetavo analyses every column in your spreadsheet to determine what type of data it contains:
- Date columns trigger line charts and area charts — showing how measures change over time.
- Categorical columns (region, channel, status, department) trigger bar charts, horizontal bar charts, and pie charts — showing breakdowns by group.
- Numeric measures (revenue, spend, count, rate) become KPI card values and chart axes.
- Two or more numeric measures can trigger scatter or bubble charts — showing correlations.
- Multiple measures across categories trigger stacked bar or radar charts — comparing several metrics at once.
An AI model scores the usefulness of each possible chart combination and selects the 5–8 most insightful views for your specific dataset. Chart titles are also AI-generated — they describe what each chart reveals, not just what it plots.
What makes a good input for automatic chart generation
- Clear column names — "Revenue", "Date", "Channel", "Status" are infinitely better than "Col_A", "field2".
- One header row — consistent column names in row 1 with data starting in row 2.
- Consistent data types — numeric columns as real numbers, not mixed with text.
- A date column — enables trend charts, which are usually the most valuable view.
- At least one categorical column — enables breakdowns that explain where totals come from.
Refining the automatic charts
The automatic first pass covers 80% of what you need. The editor handles the rest:
- Swap any chart to a different type — for example, change a bar to a line if it better suits the trend you want to show.
- Rename chart titles and section headings to match your team's language.
- Add views the AI did not include — additional breakdowns, a scatter plot for correlation analysis, or a histogram for distribution.
- Reorder sections to lead with the most important KPIs and charts for your audience.
- Remove views that are not relevant for your specific use case.
After the first pass: sharing and presenting
Once your charts look right, share a view-only link with stakeholders who can use interactive filters — by date range, by category, or by specific dimension values. Use Present mode to step through charts fullscreen in a meeting without switching tools. Enable AI insights on Pro plans to add a written summary of what the charts show.