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Coronavirus and AirBnb bookings

Madrid case study

Motivation

The coronavirus pandemic is changing everything. In this project I show how the AirBnb bookings in Madrid were affected by this world event.

Results

In this blog post I explain the results in a non-technical way.

File descriptions

Madrid_exploratory is an unorganized notebook with loose ideas. The same goes for Barcelona and Hong Kong.

Madrid_analysis is the notebook with the organized analysis with explanatory comments and results. This is the file you should be looking for. Madrid_analysis_2019 have the same analysis for 2019 data.

Data

The data is from here, the files are: calendar and listing for Madrid for two dates: March 17th and February 18th (click on show archived data).

Comparision between 2019 and 2020

In this web app you can find a comparision between 2019 and 2020 data.

Technical details

In this project I conduct a descriptive analysis of the data sets using wrangling techniques, descriptive statistics and visualizations.

Libraries:

  • Pandas
  • Matplotlib
  • Seaborn

For the web app requirements see requirements.txt

Acknowledgments

This project is part of the Udacity's Data Science Nanodegree program.

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