Advanced Boxplot Maker

Box and whisker plot generator

Click the "More Options" button to get more options. Some options, like "excluding outliers" appear only after generating the violin chart.
To download the plot as a PNG file, simply hover your cursor over the top right corner of the chart and click on the camera icon.

Quartiles calculation for odd samples

When you have an odd sample, you may ask the question of how to split the sample into two. There are several valid methods to calculate the quartiles. Statskingdom usually uses option-1.

Following the options that this plot generator provides:

1. Inclusive - the median appears in both lists.
2. Exclusive - the median doesn't appear in either list.
3. Linear¹ - the average of the previous methods, method #10 (“H&L-2”) listed on Quartiles in Elementary Statistics.

Another common option to calculate the quartiles is to use the 25th percentile, 50th percentile, and 75th percentile; however, this option might yield slightly different results. You can use the percentile calculator for this purpose.

Exclude outliers

The violin chart is not sensitive to outliers, but one extreme outlier may change the chart scale dramatically.
If you switch on the exclude outliers, it scales the chart nicely but loses the outliers.
The 'violin plot maker' filters out the outliers before generating the chart.

Boxplot type

• Wiskers and Outliers - the whiskers don't include the outliers. only outlier points, with k=1.5, appear on the chart.
• Suspected Outliers - the whiskers don't include the outliers; the outliers appear as two types of points:
  Outliers with k=3 appear as circle: ●.
  Suspected outliers with k=1.5, appear as open circle: ○.
• Only Whiskers - the whiskers include the outliers.
• All Points - shows all the data as points.

If you activate the 'Exclude outliers' option, the first three choices will yield the same results.

More options for customizing your charts

When creating charts, you have the flexibility to customize various aspects to better suit your needs. Here are some of the options available to you:

• Title - the main header, with font size
• Chart orientation - you can choose between a vertical or horizontal chart.
• Median, Mean and SD
  
  • Median - displays the median line.
  • Mean and median - also adds the mean line.
  • SD, mean, and median - adds the standard deviation as a rhombus.
• Box plot
  
  • Visible - show boxplot.
  • Invisible - hide boxplot.
• Border width - you can adjust the thickness of the box border.
• Category Axis - this is the axis that contains the categories.
• Value Axis - this is the continuous axis; choose its title and font size.
  You can also customize the following options, or leave them empty for automatic calculation:
  Scale - the axis scale, 'linear' or 'log' in log scale the. You may use the log scale for data with a wide range of values, such as biological measurements. By default, it uses a tick interval of 'D2', which employs a base 10 logarithm. In this case, the visualization distance between 1 and 10 will be the same as between 10 and 100.
  First Tick - the value at which numbering starts; for example, 0 for 0, 5, 10, or 1 for 1, 6, 11. Do not use with 'log' scale.
  Tick Interval - the distance between ticks.
  For the 'log' scale, use 'D1', 'D2', or 2, 3, 4, etc.
  
  • D1 - 10, _{2, 3, 4, 5, 6, 7, 8, 9}, 100.
  • D2 - 10, _{2, 5}, 100.
  • 2 - 2, 4, 8, 16, 32, etc.
  • 3 - 3, 9, 27, 81, etc.
  • 10 - 10, 100, 1000, etc.
  Min - the minimum value on the axis.
  Max - the maximum value on the axis.
  
• Chart area - you can choose the color of the entire chart.
• Background - you can choose the color of the chart background.
• Legend - vertical ot horizontal.
• Data / Outliers: by default, the color of the data points and outliers matches the color of the data column. A mild outlier appears as an empty circle, while an extreme outlier appears as a filled circle. However, you can select a uniform color for all data points across all columns. The first color is for data or extreme outliers, and the second is for mild outliers.
  For mild outliers, we use Tukey's Fences with k=1.5, and for extreme outliers, Tukey's Fences with k=3..
  
• Line color: by default, the lines color matches the color of the data column. However, you can select a uniform color for all the lines across all columns.
• Axis Lines: the category axis is located at the minimum of the value axis. By default, we don't show the axis lines. If you want to show them, you should change the field to 'Visible'. You can also change the color and the width.
  
• Zero Line: the zero line is located at the zero value of the value axis. By default, we don't show the zero line. If you want to show it, you should change the field to 'Visible'. You can also change the color and the width.
  
• Grid: By default, we show the grid. If you don't want to show it, you should change the field to 'Invisible'. You can also change the grid color and grid width.
  
• Font: you can customize the font type, size, and color for all labels.
• Mirror categories - you can reverse the order of the groups.
• Mirror axis - you can flip the axis to go from the maximum to the minimum value.
• Black and White - you can customize the chart to be black and white using the following buttons: B/W-1, B/W-2.
• Customize part of a label - you may use the common HTML tags to customize labels, like <i>text</i> for italic
  or <span style="color:red;">Violin Plot</span > for red color.

By utilizing these various options, you can create charts that are tailored to your specific needs and preferences.

Reference

1. Eric Langford (2006) Quartiles in Elementary Statistics, Journal of Statistics Education, 14:3, DOI: 10.1080/10691898.2006.11910589