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  1. Jul 31, 2023 · Box plots visually show the distribution of numerical data and skewness by displaying the data quartiles (or percentiles) and averages. Box plots show the five-number summary of a set of data: including the minimum score, first (lower) quartile, median, third (upper) quartile, and maximum score.

  2. May 20, 2013 · In the comparative distribution chart we are only looking at 5 different customer segments. If you had hundreds or thousands of segments, then the box plot is probably a better solution. I will explain how I created it in a separate post.

    • Is a box plot better than a comparative distribution chart?1
    • Is a box plot better than a comparative distribution chart?2
    • Is a box plot better than a comparative distribution chart?3
    • Is a box plot better than a comparative distribution chart?4
    • Is a box plot better than a comparative distribution chart?5
  3. Jan 4, 2021 · Box plots are useful because they allow us to gain a quick understanding of the distribution of values in a dataset. They’re also useful for comparing two different datasets. When comparing two or more box plots, we can answer four different questions: 1. How do the median values compare?

  4. Box plots truly shine when comparing data distributions across different groups. Their compact design offers a neat summary of data, making it a breeze to compare distributional properties of the groups through the positioning of box and whisker markings.

    • Visualize the Distribution of Values in a Dataset. Suppose a basketball coach wants to visualize the distribution of points scored by players on his team so he creates the following box plot
    • Compare Two or More Distributions. Suppose a sports analyst wants to compare the distribution of points scored by basketball players on three different teams so he creates the following box plots
    • Identify Outliers. Suppose a basketball coach wants to know if any of his players are outliers in terms of points scored. He decides to create the following box plot to visualize the distribution of points scored by his players
  5. Histograms are particularly useful in determining the underlying probability distribution of a dataset, while box plots are more useful when comparing between multiple datasets. They are less detailed than histograms and take up less space.

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  7. A box plot (aka box and whisker plot) uses boxes and lines to depict the distributions of one or more groups of numeric data. Box limits indicate the range of the central 50% of the data, with a central line marking the median value.

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