Normalized histograms in Matplotlib - Mini Project: Build & Apply

Normalized histograms

📖 Scenario: You are analyzing the heights of a group of people. You want to see how the heights are spread out using a histogram. But instead of just counting how many people fall into each height range, you want to see the relative frequency so you can compare it easily with other groups.

🎯 Goal: Create a normalized histogram of the heights data using matplotlib. This means the histogram bars will show proportions instead of counts.

📋 What You'll Learn

Create a list called heights with exact values

Create a variable called bins to set the number of bins

Use matplotlib's hist() function with density=True to create a normalized histogram

Display the histogram with plt.show()

💡 Why This Matters

🌍 Real World

Normalized histograms help compare data distributions fairly, especially when sample sizes differ. For example, comparing heights of people from different cities.

💼 Career

Data scientists use normalized histograms to visualize and compare data distributions clearly, which helps in making data-driven decisions.

1

Create the heights data

Create a list called heights with these exact values: 160, 165, 170, 160, 175, 180, 170, 165, 160, 175.

Matplotlib

# Create the list heights with the given values
# Your code here

Need a hint?

Use square brackets to create a list and separate numbers with commas.

2

Set the number of bins

Create a variable called bins and set it to 5 to divide the heights into 5 groups.

Matplotlib

heights = [160, 165, 170, 160, 175, 180, 170, 165, 160, 175]
# Create the variable bins and set it to 5
# Your code here

Need a hint?

Just assign the number 5 to the variable bins.

3

Create the normalized histogram

Import matplotlib.pyplot as plt. Then use plt.hist() with the heights list and bins variable. Set density=True to normalize the histogram.

Matplotlib

heights = [160, 165, 170, 160, 175, 180, 170, 165, 160, 175]
bins = 5
# Import matplotlib.pyplot as plt
# Create a normalized histogram using plt.hist with density=True
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt and call plt.hist() with the right arguments.

4

Display the histogram

Use plt.show() to display the normalized histogram plot.

Matplotlib

import matplotlib.pyplot as plt

heights = [160, 165, 170, 160, 175, 180, 170, 165, 160, 175]
bins = 5

plt.hist(heights, bins=bins, density=True)
# Display the plot
# Your code here

Need a hint?

Call plt.show() to see the histogram window.