![]() The box-and-whisker plot is useful for revealing the central tendency and variability of a data set, the distribution (particularly symmetry or skewness) of the data, and the presence of outliers. They can look great in the right opportunity, and I would recommend trying them out on your data to understand what you should be looking at. On the Web: box-and-whisker plot, graph that summarizes numerical data based on quartiles, which divide a data set into fourths. While the box plot is an interesting visualisation, it is important to understand the audience as they might not know what you are trying to show them. ![]() The box plot will rarely look this perfect, however it will still show how our data is distributed and give us some context behind any interesting analysis that we can begin to explore. The graph represents a normal distribution in a data set, with the σ symbol representing a standard distribution. This picture is quite intimidating, but it is just another way of visualising what our box plot is breaking down. Any of the points beyond these whiskers can be classified as outliers, and might be worth exploring This will help us understand how skewed our data is, and in which direction. The lines coming out of the box (known as the whiskers) extent within x1.5 this inter-quartile range. The box is then closed by the upper and lower quartiles meaning that the box will be spanning our inter-quartile range, or the middle 50% of our data. As shown in the video, there are three quartiles that have values larger than ten that means that 3/4 of the quartiles have kids older than 10. That means I had a higher GPA than 75 of students in my graduating class. Think of the box-and-whisker plot as split into four parts (the first, second, third, and fourth quartiles), making each part equal to 1/4 (essentially 25) of the plot. For example, in my high school graduating class, my GPA ranked in the top 25th percentile. Percentiles are frequently used in comparisons in the real-world. These numbers are median, upper and lower quartile, minimum and maximum data value. Let’s define it: A box and whisker plot (also known as a box plot) is a graph that represents visually data from a five-number summary. ![]() Our centre point for this will be the median (middle value) in our data, not the mean. You can learn more in detail about box and whisker plots through this Khan Academy article. Comparative double box and whisker plot example: to see how to compare two data sets with analysis and interpretation. Don't forget to set your marks to circle. If you want to create one from scratch then you will need a measure broken down by a dimension, followed by dragging in the Box Plot in the analytics pane (see example below). This chart type will be one of the few times that you would want to use the show me function in Tableau Desktop, as it can be quite tricky to set this up. The box and whisker plot can be a little confusing to explain in a dashboard, so I will try and summarize the key points. Box plots are a great way of showing the distribution of our data, as well as spotting any outliers.
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