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Summary Statistics¶
Calculate a comprehensive set of descriptive statistics for your numeric data, with optional box plot and dot plot charts.
What is Summary Statistics?¶
Summary Statistics produces a table of descriptive statistics for each selected data column, including count, mean, median, standard deviation, percentiles, and more. It can also display a box plot and dot plot alongside the table, giving you both a numeric summary and a visual picture of your data distribution.
Additional capabilities include confidence intervals for the mean and standard deviation, normality testing (Anderson-Darling, Shapiro-Wilk, or Kolmogorov-Smirnov), and custom percentiles.
When to Use Summary Statistics¶
- When you need a comprehensive numeric summary of your data
- When you want to assess whether your data follows a normal distribution
- When you need confidence intervals for the mean or standard deviation
- When you want descriptive statistics alongside visual distribution charts (box plot and dot plot)
Example Output¶
A typical output shows a formatted statistics table with all selected measures, plus a box plot and dot plot to the right of the table. When analyzing multiple columns, each column appears as a separate section in the table.
Learn More¶
- Examples — Step-by-step tutorials for different scenarios
- Preparing Your Data — Data types, layouts, and the behavior matrix
- Options — All statistics, confidence intervals, normality tests, and display settings