Question: Using Python Run the following code cell. By using dfPlot as simulated, write codes to use the functions offered in matplotlib.pyplot and generate a scatterplot

Using Python Using Python Run the following code cell. By using dfPlot as simulated,

Run the following code cell. By using dfPlot as simulated, write codes to use the functions offered in matplotlib.pyplot and generate a scatterplot with "age (yo)" on the x-axis and "income (usd)" on the y-axis, add appropriate labels on both axes, and add an appropriate title to the figure. Variables are explained below - "age (yo)": customer's age as in how many years old on the recent birthday - "income (usd)": customer's total household income (in US dollars) \# Run this cell. DO NOT change anything! import pandas as pd import numpy as np from numpy import nan as NA rgen = np.random. RandomState(random_state) import matplotlib.pyplot as plt \%matplotlib inline dfPlot = pd.DataFrame(\{ 'income (usd)': rgen.randint (10000,100000,100), 'age (yo)': rgen.randint(22, 88, 100) \}, index=range(100)) display(dfPlot.head(), dfPlot.tail())

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