Solution 8.1

Please use the following steps to complete the activity:

1. Open a new Jupyter notebook.
2. Import the pandas, numpy, and matplotlib packages:

   import pandas as pd
   import numpy as np
   import matplotlib.pyplot as plt

3. Load the CSV file as a DataFrame:

   file_url = 'PUF2020final_v1coll.csv'
   data_frame = pd.read_csv(file_url)

4. Import the pandas, numpy, and matplotlib packages:

   data_frame = data_frame[["REGION", "SQFT", "BEDROOMS", "PRICE"]]

5. Display the first 10 rows of the DataFrame:

   data_frame.head(10)

The output will be as follows:

Figure 15.28 – Placeholder

6. Plot a histogram chart for PRICE:

   data_frame.PRICE.plot(kind = 'hist');

The output will be as follows:

Figure 15.29 – Placeholder

It seems that most of the properties have a sale price centered around 50k-150k. There are also a few outliers with a high sale price of over...