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Using Python to perform exploratory data analysis on scraped Airbnb dataset. This multi-faceted analysis was selected by University Master program director for the data portal (link in Readme.md).

Home Page: https://nbviewer.org/github/ibtassam1/Airbnb/blob/main/DATA_601_Final_Report_v2.ipynb

Jupyter Notebook 100.00%
data-visualization datacleaning datawrangling jupyter-notebook matplotlib nlp nlp-keywords-extraction plotly python3 seaborn

airbnb's Introduction

Airbnb Project

This was a deep EDA of the Airbnb data for 8 metropolitan cities to find out the factors that affect bookability of an Airbnb listing. We also looked at whether review scores of host played a part in this decision.

Since the code file is too large, it is not rendering on GitHub. However, I have used Nbviewer to display this file online.

https://nbviewer.org/github/ibtassam1/Airbnb/blob/main/DATA_601_Final_Report_v2.ipynb

This project was one of the two projects selected by UofC MDSA director for showcasing on the university data portal, Dataverse.

Dataverse link

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