![]() Multiple series box plots can be created by specifying a Category field and multiple Numeric fields, or by specifying a Split by category field. You can use multiple series box plots to compare distributions of different types, or by different categories. The resulting chartĭisplays a box plot for each state, visualizing theĭistribution of Population2010 for all counties The Category variable for a county dataset. ForĮxample, Population2010 is set as the Numeric field variable and StateName as Method of comparing distributions across categories. When only a single Numeric field variable is added, you have the option of adding a Category variable as a Population2015, for all counties in the dataset. Population2010, and the other visualizing the distribution of The resulting chartĭisplays two box plots, one visualizing the distribution of For example, in a county dataset, Population2010 and Population2015 are added as Numeric field variables. ![]() One box plot visualizing the distribution of the chosen numericįield variables to compare multiple distributions from differentĪttribute fields in a table. Visualize a single distribution, add one Numeric field variable. You can use box plots to visualize one or many distributions. The y-axis is used to measure the minimum, first quartile, median, third quartile, and maximum value in a set of numbers. The x-axis assigns one box for each Category or Numeric field variable. Variablesīox plots are composed of an x-axis and a y-axis. Box plots also illustrate the minimum and maximum data values through whiskers, or lines, extending from the box, and optionally, outliers as points extending beyond the whiskers. A large IQR indicates a large spread in values, while a smaller IQR indicates most values fall near the center. The IQR illustrates the variability in a set of values. The median of the values is depicted as a line splitting the box in half. The box portion of the diagram below illustrates the middle 50 percent of the data values, also known as the interquartile range (IQR). Quartiles are a method of splitting numeric values into four equal groups based on five key values: minimum, first quartile, median, third quartile, and maximum. Box plots allow you to visualize and compare the distribution and central tendency of numeric values through their quartiles.
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