Box and whisker plot tableau

Build a Box Plot

box and whisker plot tableau

This post shows you how to make and read a box-and-whisker plot in Tableau; an effective visualization choice for illustrating distributions.

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Use box plots, also known as box-and-whisker plots, to show the distribution of values along an axis. Boxes indicate the middle 50 percent of the data that is, the middle two quartiles of the data's distribution. You can configure lines, called whiskers , to display all points within 1. Drag the Segment dimension to Columns. Tableau creates a vertical axis and displays a bar chart the default chart type when there is a dimension on the Columns shelf and a measure on the Rows shelf. Drag the Region dimension to Columns , and drop it to the right of Segment. Now you have a two-level hierarchy of dimensions from left to right in the view, with regions listed along the bottom nested within segments listed across the top.

Tableau Box and whisker plot, also called box plots, are charts that divide their data points into quartiles. It is great at comparing distributions of data for different groups or categories side by side. In this recipe, we will create a Tableau box and whisker plot that shows the spread of points garnered by NBA teams from From Dimensions, drag Year to the Filters shelf and choose years While Year and Points are still selected, expand Show Me.

We have arrived to a special chart type in our Show Me How series. The median is the data value that splits all the values to two parts in a way that half of them is smaller than the median and the other half is bigger. Three quarters of the data values are below the upper quartile Q3 while one quarter of the data values is above it. Q1 is analogous, at the bottom end. At least one measure is required and that measure will be split by a dimension or alternatively, if there is no dimension in the view, the data have to be disaggregated, meaning that Tableau displays the values at record level.

The Box-and-Whisker Plot, or Box Plot, is another effective visualization choice for illustrating distributions. Along with histograms and stacked area charts , Box-and-Whisker plots are among my favorite chart types used for this purpose. As you can see, each set of circles corresponds to the dimension members on the X-axis for the Sub-Category dimension. The level of detail, or most granular level of the analysis, is Month of Order Date. Since the level of detail is month of order date, each Sub-Category column has 12 circles, one for each month of the year. In short, this visualization is showing how the distribution of monthly sales vary between product sub-categories. While I can easily find several insights in this visualization and believe box-and-whisker plots to be among the most effective ways to communicate distributions, I find them to be one of the most misunderstood chart types when I attempt to share them with an external audience.

In fact the simplest box plot in Tableau takes only 4 clicks. Box plots are made of five key components: the median, the upper and lower hinges, and the upper and lower whiskers. The hinges however are harder to work out because they are near the 25th and 75th percentiles but not there exactly and the distance away from these values depends on the size of the data set. The hinges Tableau uses are Tukey inclusionary hinges, so named after John Tukey the person who first created box plots. Tukey hinges are the midway points in the first and second halves of data. If there are an even number of data points then the data is split straight down the middle. However if there are an odd number of data points then the median value is duplicated and used by both halves.



Tableau Essentials: Chart Types Box-and-Whisker Plot

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3 COMMENTS

  1. Aceline L. says:







  2. Millicent L. says:







  3. Runleomsifas says:

    Use box plots, also known as box-and-whisker plots, to show the distribution of values along an axis. Boxes indicate the middle 50 percent of the data (that is.

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