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.
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.
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.
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.
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.
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.
One CSV per pipeline run. Multi-file join is on the roadmap.
Nowhere — analysis runs in your browser. Verify in DevTools → Network.