ML – Scatter Plot

Scatter Plot
A scatter plot is a diagram where each value in the data set is represented by a dot.
The Matplotlib module has a method for drawing scatter plots, it needs two arrays of the same length,
one for the values of the x-axis, and one for the values of the y-axis:

The x array represents the age of each car.

The y array represents the speed of each car.

import matplotlib.pyplot as plt # pip install matplotlib

x = [5,7,8,7,2,17,2,9,4,11,12,9,6]
y = [99,86,87,88,111,86,103,87,94,78,77,85,86]

plt.scatter(x, y)
plt.show()

Scatter Plot Explained
The x-axis represents ages, and the y-axis represents speeds.
What we can read from the diagram is that the two fastest cars were both 2 years old,
and the slowest car was 12 years old.

Note: It seems that the newer the car, the faster it drives,
but that could be a coincidence, after all we only registered 13 cars.

Scatter plot for 1000 dots.

import numpy
import matplotlib.pyplot as plt

x = numpy.random.normal(5.0, 1.0, 1000)
y = numpy.random.normal(10.0, 2.0, 1000)

plt.scatter(x, y)
plt.show()

Scatter Plot Explained
We can see that the dots are concentrated around the value 5 on the x-axis, and 10 on the y-axis.
We can also see that the spread is wider on the y-axis than on the x-axis.