Box Plot Maker
Create box and whisker plots to visualize the distribution of your data. Box plots display the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.
Understanding Box Plots
A box plot (also called a box-and-whisker plot) is a standardized way of displaying the distribution of data based on the five-number summary. It provides a visual summary of the central tendency, spread, and skewness of a dataset.
Components
- Box: Spans from Q1 (25th percentile) to Q3 (75th percentile)
- Median line: Horizontal line inside the box at the 50th percentile
- Whiskers: Lines extending to show data range (typically 1.5 × IQR)
- Outliers: Individual points beyond the whiskers
Interpreting Box Plots
- The box contains 50% of the data (the interquartile range)
- A median closer to one edge suggests skewness
- Longer whiskers indicate more spread in the tails
- More outliers may indicate unusual observations or non-normal distribution
When to Use Box Plots
- Comparing distributions across groups
- Identifying outliers and extreme values
- Visualizing the spread and skewness of data
- Summarizing large datasets efficiently
