This dataset lists monthly average home prices in various US cities from 2008 to 2020 from Zillow. Dataset
Real estate and home prices are things that are constantly on my mind as I try to build up a real estate portfolio. Having quick access to home prices by city is useful in making future plans. This program allows me to analyze the data for patterns and thereby better understand house prices.
- Which cities can the average american afford, based off an average annual income of 54,000 and a 20,000 down payment allowing for a 186,187 budget? I made it possible to filter the data based on a given price.
- What are the 10 least expensive cities to buy a home in? My program uses sorting to show the 10 least expensive cities.
- What is the 2020 average of home prices in a specific city? I can filter the data based on a given city name.
I used PyCharm for my IDE - I like the UI and it's pretty inuitive for me to use.
I wrote the program in Python with the pandas library. Pandas is perfect for the simple data analysis that was needed for this program.
{Make a list of websites that you found helpful in this project}
- My questions don't allow me to take full advantage of the analysis power of pandas. I would like to think of better questions.
- There's a lot more I could do to the data. I would like to add onto the program to take full advantage of the functionality of pandas.
- I want to improve the user experience of this program.