Course Content
Unlocking Insights with Data Visualization: A Hands-On Exploration
Unlocking Insights with Data Visualization: A Hands-On Exploration
Box Plots
Box plots are useful for visualizing the distribution of a single numeric variable and identifying potential outliers. They are particularly useful for comparing the distribution of data across different categories or groups. A box plot consists of a box, which encloses the first and third quartiles of the data, and a line, or whisker, extending from the box to the minimum and maximum values. This is the standard definition of a box plot.
Task
- Import the
seaborn
and thematplotlib
libraries; - Generate some artificial data. Specifically, 3 arrays with 100 observations each;
- Use
seaborn
to generate the boxplot; - Show the plot.
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Section 1. Chapter 2
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