Interactive Box Plot Generator
Visualize your data distribution with an interactive box plot. Enter your data and explore quartiles, medians, and outliers.
Separate each data point with a comma.
Box Plot Visualization
Understanding Box Plots
A box plot, also known as a box and whisker plot, is a graphical representation of the distribution of numerical data. It displays the five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.
- Minimum: The smallest value in the dataset.
- First Quartile (Q1): The 25th percentile, meaning 25% of the data falls below this value.
- Median (Q2): The middle value of the dataset, also the 50th percentile.
- Third Quartile (Q3): The 75th percentile, meaning 75% of the data falls below this value.
- Maximum: The largest value in the dataset.
- Whiskers: Extend from the box to the min and max values that are within 1.5 IQR of the quartiles.
- Outliers: Data points outside the whiskers, often marked as individual points.
Box plots are useful for identifying the center, spread, and skewness of data, and for detecting outliers. They are particularly effective for comparing distributions between different datasets or groups.
Source: Wikipedia - Box Plot