You can compare data much quicker. Box plots make it faster to identify data trends and differences. If outliers are important data in your studies, then box plots are one of the best methods to use. They show outliers. Many traditional graphs do not show outliers. Using quartile groups, you can identify which category each set of data falls into. Whereas other graphs show you individual changes among data, you can use box and whisker plots to identify trends as a whole. This is useful when comparing large amounts of data in which the information could lose its meaning using other types of graphs. They take up less space. Box and whisker plots use less space when compared to other types of data graphs and charts. If these numbers are far away from the averages, you can use dots to represent them.īox and whisker plots offer the following advantages: The highest and lowest numbers in your data can sometimes be outliers. Whiskers are lines that identify numbers outside of the average results. You draw boxes to connect the first quartile to the third quartile, with the boxes representing the averages of your data. Dividing the information in this way helps you input the data onto the plot. When you create a box and whisker plot, separate your data into quarters, called quartiles. It also helps determine outliers in your data. It takes a large amount of numbers and simplifies them into averages so data is easily understood. Related: Research Associate Resumes What is a box and whisker plot?Ī box and whisker plot, or box plot, is a diagram that visually displays data. In this article, we explain the purpose of box and whisker plots and the steps that you can take to create one.
#What is a box and whisker plot how to
Once you learn how to create box and whisker plots and how to interpret them, you may find your data to be more digestible. Box and whisker plots are one method of organizing data that makes information easier to consume. A large amount of data can be best understood through a visual representation.
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