Basic histogram with plt.hist in Matplotlib - Mini Project: Build & Apply

Basic histogram with plt.hist

📖 Scenario: You have collected the ages of a group of people at a community event. You want to see how these ages are spread out to understand the age distribution.

🎯 Goal: Build a simple histogram using plt.hist to visualize the distribution of ages.

📋 What You'll Learn

Create a list called ages with the exact values: 22, 25, 29, 22, 24, 30, 27, 25, 29, 31

Create a variable called bins and set it to 5

Use plt.hist with ages and bins to create the histogram

Use plt.show() to display the histogram

💡 Why This Matters

🌍 Real World

Histograms help us understand how data like ages, heights, or test scores are spread out in a group.

💼 Career

Data scientists use histograms to quickly see patterns and distributions in data, which helps in making decisions or building models.

1

Create the data list

Create a list called ages with these exact values: 22, 25, 29, 22, 24, 30, 27, 25, 29, 31

Matplotlib

# Create the list ages 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

Matplotlib

ages = [22, 25, 29, 22, 24, 30, 27, 25, 29, 31]
# 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 histogram

Import matplotlib.pyplot as plt and use plt.hist with ages and bins to create the histogram

Matplotlib

ages = [22, 25, 29, 22, 24, 30, 27, 25, 29, 31]
bins = 5
# Import matplotlib.pyplot as plt
# Use plt.hist with ages and bins
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt to import. Then call plt.hist(ages, bins=bins).

4

Display the histogram

Use plt.show() to display the histogram

Matplotlib

import matplotlib.pyplot as plt

ages = [22, 25, 29, 22, 24, 30, 27, 25, 29, 31]
bins = 5

plt.hist(ages, bins=bins)
# Use plt.show() to display the histogram
# Your code here

Need a hint?

Call plt.show() after creating the histogram to see the plot.