CSV data analysis in one browser tab.
Most CSV analysis ends up in Excel or a Jupyter notebook. csvtodashboard sits between them: more capable than a spreadsheet, faster to start than a notebook, and free without signup.
Ask questions in SQL.
Real SQL against your CSV — SELECT, WHERE with AND/OR, ORDER BY, LIMIT. No database, no schema definition, no upload. The query engine runs locally in your browser.
Auto-summaries on every CSV.
Every tool page shows an Insight Strip below the output — KPIs (rows, columns, totals, missing values), three deterministic observations (concentration, trend, outliers, correlations), and a suggested chart. No AI, no API call.
Chain operations into a reproducible workflow.
Validate, clean, query, and export — in any sequence. Re-runs instantly as you change parameters. Useful for iterating on what you're really looking for.
Build an interactive dashboard.
Auto-generated KPIs, time-series chart with forecast, category breakdowns, geographic bubble map for country/region columns, scatter plot with correlation, and a sortable Excel-like data table.
Common questions.
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Is this a replacement for Excel pivot tables?
For many cases, yes — the dashboard's pivot mode covers row × column × value crosstabs with sum/avg/count. For very complex multi-pivot workbooks, Excel is still better.
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Can it handle multiple files?
One CSV per pipeline run. Multi-file join is on the roadmap.
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Where does the data go?
Nowhere — analysis runs in your browser. Verify in DevTools → Network.