Box Plot Maker

Create interactive box plots for statistical data analysis.

Group Color Actions
Data Points
Group Value Actions

Supported formats: CSV, TXT

Group,Value,Color Group A,15,#2c7da0 Group A,22,#2c7da0 Group A,18,#2c7da0 Group A,25,#2c7da0 Group A,30,#2c7da0 Group B,42,#a9d6e5 Group B,38,#a9d6e5 Group B,45,#a9d6e5 Group B,50,#a9d6e5 Group B,55,#a9d6e5 Group C,75,#01497c Group C,80,#01497c Group C,85,#01497c Group C,90,#01497c Group C,95,#01497c
Chart Appearance
Box Plot Customization
Export Options

About Box Plots

Box plots (also known as box-and-whisker plots) are standardized ways of displaying data distributions based on a five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

Best Practices: Use box plots to compare distributions between groups. Show outliers clearly. Use consistent scales for comparison. Include data points when sample sizes are small.

When to Use Box Plots

  • Distribution Comparison: Compare distributions across groups
  • Outlier Detection: Identify outliers in datasets
  • Skewness Identification: Visualize data skewness
  • Statistical Summary: Show key statistical measures
  • Data Symmetry: Assess symmetry of distributions

Box Plot Components

  • Median: Middle value of the dataset
  • Quartiles: Q1 (25th percentile) and Q3 (75th percentile)
  • Interquartile Range (IQR): Distance between Q1 and Q3
  • Whiskers: Extend to 1.5*IQR from the quartiles
  • Outliers: Points beyond the whiskers
  • Notches: Confidence intervals around the median

Box Plot Design Tips

Element Design Tip
Boxes Use distinct colors for different groups
Whiskers Make them clearly visible but not distracting
Outliers Use a contrasting color to highlight them
Median Line Make it bold and clearly visible
Axis Labels Clearly label both axes

Common Box Plot Types

Type Description Best For
Standard Box Plot Basic box plot with whiskers and outliers Most distribution comparisons
Notched Box Plot Includes notches for confidence intervals Statistical significance comparison
Violin Box Plot Combines box plot with violin plot Showing distribution density
Grouped Box Plot Multiple box plots grouped by category Comparing multiple factors
Horizontal Box Plot Box plot with horizontal orientation Long group names or many groups

Data Preparation Tips

  • Data Cleaning: Remove or handle missing values
  • Group Definition: Define clear comparison groups
  • Outlier Handling: Decide how to handle outliers
  • Data Scaling: Ensure appropriate scale for comparison
  • Sample Size: Include sufficient data points per group

Box Plot Examples

Single Group

Multiple Groups

With Outliers

With Notches

Where Box Plots are Used

  • Scientific Research
  • Statistical Analysis
  • Quality Control
  • Medical Studies
  • Educational Research