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Box Plot Maker

Data

箱ひげ図作成

CSVや数値リストから、中央値・四分位数・外れ値をまとめて可視化できます。

統計表

グループ 件数 最小 Q1 中央値 Q3 最大 IQR 平均 外れ値

About Box Plot Maker

A box plot is a compact chart for understanding variation, median, quartiles, interquartile range, whiskers, and outliers at a glance. It is useful when comparing distributions across groups such as department sales, test scores, measurements, processing times, or survey results.

This Box Plot Maker reads CSV-style "group, value" data or row-based lists such as "A: 12, 15, 18" and renders an SVG box plot directly in your browser. It automatically calculates median, Q1, Q3, IQR, whisker bounds, outliers, mean, and sample count, then shows the same values in a statistics table. You can toggle outlier markers, edit the chart title, change the main color, save the SVG, and copy statistics as CSV for reports or follow-up analysis.

All processing happens locally in the browser. That makes it suitable for internal KPI data, research notes, classroom examples, and personal measurements that should not be uploaded to an external service. Use it as a quick preview before building a spreadsheet chart, or as a lightweight way to inspect skew, spread, and possible outliers.

How to use Box Plot Maker

  1. Paste CSV data in group,value format, or use row-based lists like A: 12, 15, 18.
  2. The box plot updates automatically. Adjust the chart title, color, and outlier display as needed.
  3. Check count, min, Q1, median, Q3, max, IQR, mean, and outliers in the statistics table.
  4. Save the SVG or copy the statistics CSV for reports and further analysis.

Benefits of Box Plot Maker

  • Visualize median and interquartile range quickly, making distribution differences clearer than averages alone.
  • Compare multiple groups side by side for department, condition, or period-based analysis.
  • Detect outliers automatically and show them in the table, helping identify unusual values or input mistakes.
  • Runs entirely in the browser. Paste CSV, inspect the chart, and export SVG without extra software.

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