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Matplotlibdata~30 mins

Why histograms show distributions in Matplotlib - See It in Action

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Why Histograms Show Distributions
📖 Scenario: Imagine you work at a bakery and want to understand how many cookies customers buy each day. You have a list of cookie counts sold daily for a week. You want to see how these sales numbers are spread out.
🎯 Goal: You will create a histogram using matplotlib to visualize the distribution of cookie sales over a week. This will help you see which sales counts happen most often.
📋 What You'll Learn
Create a list called cookie_sales with exact daily sales numbers
Create a variable called bins to set the number of histogram bins
Use matplotlib.pyplot.hist() with cookie_sales and bins
Display the histogram with plt.show()
💡 Why This Matters
🌍 Real World
Histograms help businesses understand patterns in their data, like how often certain sales amounts happen, which can guide decisions.
💼 Career
Data scientists and analysts use histograms to quickly see data distributions and spot trends or outliers.
Progress0 / 4 steps
1
Create the cookie sales data
Create a list called cookie_sales with these exact values: [5, 7, 8, 5, 6, 9, 7] representing cookies sold each day.
Matplotlib
Need a hint?

Use square brackets to create a list with the exact numbers given.

2
Set the number of bins for the histogram
Create a variable called bins and set it to 4 to divide the sales data into 4 groups.
Matplotlib
Need a hint?

Just assign the number 4 to the variable bins.

3
Create the histogram using matplotlib
Import matplotlib.pyplot as plt. Then use plt.hist() with cookie_sales and bins to create the histogram.
Matplotlib
Need a hint?

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

4
Display the histogram
Use plt.show() to display the histogram plot.
Matplotlib
Need a hint?

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