Generate a box-and-whisker plot showing the five-number summary and outliers for each numeric column in a CSV file.
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Supports single file (.csv,text/csv)
Upload or paste a CSV file to begin.
Visualize the distribution of any numeric column from a CSV file as an adjustable-bin histogram.
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Convert code between 40+ programming languages — Python, JavaScript, Java, C++, Go, Rust, and more. Private, browser-based.
Upload a CSV file and instantly get count, mean, median, standard deviation, min, and max for every numeric column.
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Renders a box-and-whisker plot for each numeric column, showing the five-number summary (minimum, first quartile, median, third quartile, maximum) and flagging outliers — any value more than 1.5×IQR (interquartile range) beyond the box — using the standard convention from exploratory data analysis.
Box plots are especially useful for quickly comparing the spread and skew of multiple columns side by side, which is harder to do at a glance with a full histogram per column.
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