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histogram

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thumb|In this histogram, height is divided into bins of equal width (5 feet)

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A histogram is a type of chart that shows how often different values appear in a set of data by dividing the data into groups (called bins) and displaying the frequency of each group as a bar. Histograms are useful because they let you quickly see patterns in data, like whether values tend to cluster in certain ranges or how the data is distributed overall.

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~18 min read

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21 sections
Contents
  • Etymology
  • Examples
  • Mathematical definitions
  • Cumulative histogram
  • Number of bins and width
  • Square-root choice
  • Sturges's formula
  • Rice rule
  • Doane's formula
  • Scott's normal reference rule
  • Terrell–Scott rule
  • Freedman–Diaconis rule
  • Minimizing cross-validation estimated squared error
  • Shimazaki and Shinomoto's choice
  • Variable bin widths
  • Remark
  • Applications
  • See also
  • References
  • Further reading
  • External links

thumb|In this histogram, height is divided into bins of equal width (5 feet)

A histogram is a visual representation of the distribution of quantitative data. To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non-overlapping intervals of a variable. The bins (intervals) are adjacent and are typically (but not required to be) of equal size.

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