Activity 8.01 – Using data visualization for exploratory data analysis
In this activity, we will apply what we have learned in this chapter to building different types of plots in order to perform an exploratory data analysis on a sale price. We will work on the Manufactured Housing Survey dataset, published by the United States Census Bureau, that can be found in the GitHub repository at https://raw.githubusercontent.com/PacktWorkshops/The-pandas-Workshop/master/Chapter08/Data/PUF2020final_v1coll.csv.
Note
More details about the Ames Housing dataset can be found at https://www.census.gov/data/datasets/2020/econ/mhs/puf.html.
The goal of this activity is to analyze the different factors contributing to a sale price in the housing market. We will use different types of plots in order to achieve it.
Your tasks will be as follows:
- Open a Jupyter notebook.
- Import the pandas, numpy, and matplotlib packages.
- Load the CSV file as a DataFrame.
- For the...