Az Residential Real Estate Analysis
-Decided on libraries to import. Includes pandas, json, requests, plotly express, hvplot, geopandas, numpy and url.
-Read in a nested json and cvs files of residential properties for sale in PHX and surrounding areas, and sorted through the atrributes to get our dataframes in a clean format.
-Using urlopen, we read other json files into a sperate dataframe to plot and compare with our other data.
-Analyzed and plotted the data using plotly, hvplot, and geopandas.
-Plots included a map of hotspots, a histogram of price, and other maps showing differences in price between neighborhoods.
You can run this locally with the jupyterlab file, as long as you are in a pyviz enviroment.
There is also a powerpoint attached detailing our findings in an easy-to-interpret manner.
Our goal was to