Page 301 - AI Ver 3.0 Class 11
P. 301

• The scatterplot is a valuable tool for calculating correlation. Variable relationships can be categorised in a variety of
                   ways, including positive or negative, strong or weak, linear or nonlinear.
                    • This graph’s strength lies in its ability to clearly depict trends, clusters, and relationships within datasets.
                 The function scatter() is used to visualise a scatterplot in Python.

                    Program 8: Create a Scatter Plot Graph for number of hours students spend studying per week with respect
                  to percentage scored using Python

                         Study Time        4   3.5   5     2    3   6.5  0.5   3.5  4.5   5    1   1.5   3    5.5


                         percentage        82   82   90   74   40    97   51   75   86   85    62   75   70   91





                 import matplotlib.pyplot as plt


                 # Data
                 study_time = [4, 3.5, 5, 2, 3, 6.5, 0.5, 3.5, 4.5, 5, 1, 1.5, 3, 5.5]
                 percentage = [82, 82, 90, 74, 40, 97, 51, 75, 86, 85, 62, 75, 70, 91]


                 # Create scatter plot using scatter() function
                 plt.scatter(study_time, percentage)


                 # Add title and labels
                 plt.title('Study Time vs. Percentage Scored')
                 plt.xlabel('Study Time (hours)')
                 plt.ylabel('Percentage Scored')


                 # Show plot

                 plt.show()
                 Output:






























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