Box Plots

Box plots are useful for visualizing the distribution of a single numeric variable and identifying potential outliers. They are particularly effective 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, and whiskers, which typically extend from the quartiles to the minimum and maximum values within 1.5 times the interquartile range. These components make box plots an excellent tool for summarizing data distributions clearly and concisely.

Opgave

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Import the seaborn library with the sns alias.
Import the pyplot module of the matplotlib library with the plt alias.
Generate three arrays with 100 observations each, with standard deviations (std) ranging from 1 to 4, exclusive.
Use the appropriate seaborn function to create a box plot.
Display the resulting plot.

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Kursusindhold

Gaining Insights with Data Visualization

Introduction Box Plots Line Plots Bar Plots Bar Plots: Hue Scatter Plots Histograms Subplots Heat Maps Interactive Graphs (Bonus)