Airbnb
In this script, I will employ a few facets of linear and logistic regression analysis to analyze a subset of Airbnb data focused on Asheville. This dataset contains a variety of indicators related to housing factors to predict on the price of a house.
The directory is organized as follows:
| Folder | Description |
|---|---|
| Code | This section includes all of the data wrangling and predictive modeling R code used on the U.S. Crime dataset. |
| Data | This section includes the main dataset used throughout the analyses. |
| Viz | This section includes all of the main visualizations generated by the R Code in the Code section. |
Note: The data can be found in the data folder as well as at the following locations:
https://courses.edx.org/assets/courseware/v1/2569c4a321e0ef4029009b3b4bc20904/asset-v1:GTx+MGT6203x+2T2020+type@asset+block/airbnb_data.csv