Scatter plots are used in science and engineering to look for correlation between two variables. A cloud of points that is roughly circular indicates that the two variables are independent, while a more elliptical arrangement indicates that there may be a relationship between them. In the following example, the x and y coordinates are contrived to make a nice plot. In real life, the x and y coordinates would typically be read in from data files. Enter the following code:

def noisy_line(m, b, x):
    return m * x + b + 0.5 * (random() - 0.5)
    
slope = 1.0
intercept = -0.5
x_coords = [random() for t in range(50)]
y_coords = [noisy_line(slope, intercept, x) for x in x_coords]
sp = scatter_plot(zip(x_coords, y_coords))
sp += line([(0.0, intercept), (1.0, slope+intercept)], color='red')
sp.show()

The result should look similar to this plot. Note that your results won't match exactly, since the point positions are determined randomly.