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Box Plot Chart
A box plot chart (or box-and-whisker plot) is a statistical visualization used to display the distribution of data and identify potential outliers. It provides a summary of a data set by showing the median, quartiles, and possible outliers. In a box plot with one dimension, one distribution, and one measure, the chart visualizes the spread and central tendencies of the measure across different categories defined by the dimension.
Key Fields of a Box Plot Chart
- Represents the categorical variable that divides the data into different groups or categories. Each category is visualized as a separate box in the plot. It is placed on the X-axis of the box plot, with each category having its own box. Shows how the measure varies across different categories or groups.
- City, Region, Country
- Refers to how the measure is spread out within each category. It is represented by the quartiles and the range of the data. Distribution is visualized within each box, showing the spread of data points for each category. Includes the interquartile range (IQR), median, and potential outliers. It helps in understanding the variability and central tendency within each category.
- Represents the quantitative value that is analyzed within each category. This measure is used to create the box plot and visualize its distribution. The measure is plotted along the Y-axis of the box plot. Provides insight into the central tendency, spread, and distribution of the data within each category.
- Measure: Sales Revenue
You can display a maximum of One Dimension, One Distribution, and One Measure in your chart/table.
When to Use a Box Plot Chart:
- Ideal for comparing the distribution of a measure across different categories, such as comparing sales revenue across various product categories.
- Useful for understanding the spread and variability of data within each category and detecting any outliers.
- Helps in analyzing the central tendency (median) and distribution range within each category.