Condition for Visualizing Data Using Boxplot in Python
Description:
A box plot is a graphical representation that shows the distribution of a dataset based on
five summary statistics:
1) the minimum,
2) first quartile (Q1),
3) median,
4) third quartile (Q3),
5) and maximum.
It also highlights outliers. Box plots are very useful for visualizing the spread and
skewness of the data, as well as for comparing different datasets.
Step-by-Step Process
Install Required Libraries:
Make sure you have `matplotlib` and `seaborn` installed.
Prepare the Data:
Use a numeric dataset (can be random or real).
Create the Plot:
Use `matplotlib` or `seaborn` to plot the box plot.
Interpret the Results:
Use the plot to understand the distribution and detect outliers.