Statistics: Statistics for Beginners in Data Science: Theory and Applications of Essential Statistics Concepts using Python by Publishing AI

Author:Publishing, AI [Publishing, AI]
Language: eng
Format: azw3, mobi
Publisher: AI Publishing LLC
Published: 2020-06-20T16:00:00+00:00

Then, we use the same price and area variables that we discssed before in addition to a thrid variable representing the area of the garage.

price = [100,110,120,140,135,141,158,160,180,200,210]

meters_squared = [100,120,122,125,130,140,160,180,200,220,250]

garage_squared = [10,30,22,25,30,40,60,80,90,120,150]

Finally, we use the same function to plot the 3D graph but with an addition of defining the axis as 3D.

fig = pyplot.figure()

ax = Axes3D(fig)

ax.scatter(meters_squared, price, garage_squared)

ax.set_xlabel(‘meters squared’)

ax.set_ylabel(‘Price’)

ax.set_zlabel(‘garage squared’)

pyplot.show()

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