Please answer these 2 questions. After completing and generating a scatter plot - standardize ormalize the data from the first question(#5 refers to the first part problem).

Please use python for solving the program and don't copy from another place. Also, please do not provide wrong /random solutions.

 Please dont provide this wrong answer: "import numpy as np import matplotlib.pyplot as plt colors = ['b', 'c', 'y', 'm', 'r', 'g'] # twoV x = np.array([8, 6, 9, 8.5, 7.5, 6]) y = np.array([9, 10, 11, 8.5, 11.5, 11]) plt.scatter(x, y, c = colors[0], label = "2V") # threeV x = np.array([3, 5, 4, 0, 10, 2]) y = np.array([0, 10, 20, 0, 9, 3]) plt.scatter(x, y, c = colors[1], label = "3V") # fourV x = np.array([13, 12, 11, 12, 12, 10]) y = np.array([11, 8, 4, 4, 10, 1]) plt.scatter(x, y, c = colors[2], label = "4V")"

Make a set of data with 4 variables. For 2 of the variables, the data should be partially correlated. The other variables should not be correlated. Generate a scatterplot of this data. To show all 4 variables, you will need to use the x-axis, y- axis, color, and size to draw the points in the plot. 80 60 entry b 20 50 10 30 20 entry a Standardize (or normalize) the data from #5 and draw another plot with the scaled data