CSV Data Visualizer

A free in-browser CSV and Excel data visualizer that turns raw tabular data into clean, publication-ready charts without uploading a single byte. Paste CSV text directly into the editor or drag in a .csv file — the parser auto-detects headers, infers column types, and lets you pick an X-axis column and one or more Y-value columns before rendering. Four chart types cover the most common visualization needs. Bar charts are ideal for comparing categorical quantities — sales by region, bugs by severity, votes by option. Line charts reveal trends across an ordered axis such as time series, session numbers, or sequential experiment IDs. Pie charts show part-to-whole proportions for a single snapshot — market share, budget allocation, traffic sources. Scatter plots expose correlations between two numeric variables — height vs weight, price vs rating, study time vs score. Every chart is drawn from scratch using the HTML5 Canvas API — no Chart.js, D3, or external libraries are loaded, so the page stays lightweight and your data never leaves the browser. After rendering you can download the chart as a transparent-background PNG at full resolution for slides, reports, or documentation. Workflow: 1) Paste CSV or upload a file. 2) Confirm the detected header row. 3) Pick a chart type. 4) Select X and Y columns. 5) Download the PNG or tweak and re-render. The tool handles quoted fields, commas inside quotes, semicolons and tabs as delimiters, and skips malformed rows gracefully so a single bad line never blocks the whole dataset.