5.7 Scatter Plots

A data set with a pair of quantitative variables can be displayed with a scatter plot.

Example: Age in years and the corresponding height in centimeters is given below. Draw a scatter plot.

age(yrs)	Height(cm)
5	95
6	100
7	105
8	107
9	110
10	115

Click + Code
Type import matplotlib.pyplot as plt
Type x = [5,6,7,8,9,10]
Type y = [95,100,105,107,110,115]
Type plt.scatter(x,y)
Type plt.suptitle('Scatter Plot Age vs Height')
Type plt.xlabel('Age(yrs)')
Type plt.ylabel('Height(cm)')
Click play button

import matplotlib.pyplot as plt

x = [5,6,7,8,9,10]
y = [95,100,105,107,110,115]

plt.scatter(x,y)

plt.suptitle('Scatter Plot Age vs Height')
plt.xlabel('Age(yrs)')
plt.ylabel('Height(cm)')

Show expected output

Text(0, 0.5, 'Height(cm)')

Scatter plot titled Scatter Plot Age vs Height: six points rising steadily from (5, 95) to (10, 115); axes labeled Age(yrs) and Height(cm).

Adapted from Python for Introductory Statistics, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.