Buying a House During COVID-19

Installation

Clone the repository and follow the directions in prepare the data. Place the dataset in the root of the repository.

Usage

Run a simple Python web server from the root of the repository:

python -m http.server 8000

Navigate to 0.0.0.0:8000 to see the choropleth.

Prepare the Data

COVID Data

To acquire the COVID-19 data, download the google open data. Make sure to grab the main.csv

Housing Data

To acquire the housing data go to Zillow and download the ZHVI by county.

Create the joined dataset

This repository provides the script clean_data to create the joined dataset. It can be run with

./clean_data.py --housing <path_to_housing> --covid <path_to_covid> --output <output_file_name>

The cleaned dataset has the schema

 0   date             1155225 non-null  datetime64[ns]
 1   county_fips      1155225 non-null  object
 2   population       1155225 non-null  Int64
 3   total_confirmed  853236 non-null   Int64
 4   new_confirmed    849995 non-null   Int64
 5   Zhvi             1043100 non-null  float64

Forecast

You can use your favorite method to forecast the data. We used AutoML on AWS.

Create the forecasted dataset

./clean_data.py --housing <path_to_housing> --covid <path_to_covid> --forecast <output_file_name> --output <output_file_name>