Course Content

# Gaining Insights with Data Visualization

Gaining Insights with Data Visualization

## 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.

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

Everything was clear?

Section 1. Chapter 2
AVAILABLE TO ULTIMATE ONLY

Course Content

# Gaining Insights with Data Visualization

Gaining Insights with Data Visualization

## 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.

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