Airbnb - Personal Analytics Project (in progress)
I am working on a personal analytics project to map Airbnb locations in Tokyo using Python libraries. This project helps travelers plan their Airbnb stays more effectively by providing insights into key factors such as:
Price Analysis – Identifying the most and least expensive neighborhoods.
Best Locations – Highlighting areas with the best balance of price and convenience.
Optimal Stay Duration – Estimating how long visitors typically stay in different areas.
Interactive Mapping – Visualizing all available Airbnbs on a map of Tokyo.
The table below ranks neighborhoods by average price in yen, from the most expensive to the least expensive, helping travelers make informed booking decisions.
Tableau Project
info in progress... Please see GitHub for additional projects. Thank you!!!
Tableau - CO2 Emissions by Country 2000-2011
info in progress..
Data Visualization: Graduate Course Final Project - CSE 578
Multiple Regression to Predict Miles per gallon on Cars for a Rental Car Company
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