Paris-Airbnb-2022-data-analysis

This analysis was done to digg deeper into bookings made in Paris between 2022-06-06 and 2022-06-07 on Airbnb.

The goal of this analysis is to find answers for three questions that will be mentioned below:

• What are the most booked neighborhoods in Paris?
• What are the most expensive and the cheapest neighborhoods in Paris?
• What are the factors that interfere with the price?

Table of Contents

1. Installation
2. File Descriptions
3. Local running instructions
4. Results
5. Licensing, Authors, and Acknowledgements

Installation

• First, you need to clone the repository :

git clone [email protected]:aminebennaji19/Paris-Airbnb-2022-data-analysis.git

• After cloning the repository, use this command to install the project requirements:

pip3 install -r requirements.txt

PS: This project was developed using:

- **Python 3.9.12**
- **Jupyter-notebook**

File Descriptions

In this repository, there are three notebooks to answer the questions mentioned above:

• What is the most booked neighbourhood in Paris ?.ipynb: A notebook with a data analysis related to the most booked neighborhoods in Paris.

• What are the cheapest and the most expensive neighbourhoods ?.ipynb: A notebook with a data analysis related to the most expensive and the cheapest neighborhoods in Paris.

• What are the factors that affect the bookings price ?.ipynb: A notebook with a data analysis related to the facotors interfering with listing prices in Paris.

Local running instructions

• Use this command to run the notebooks:

jupyter notebook 

Results

The results and findings of this analysis were mentioned in a blog that I wrote on Medium. Check it out for more details.

Licensing, Authors, Acknowledgements

This analysis was made thanks to the Inside Airbnb website and especially the section for Paris, Île-de-France, France containing listings and calendar files that we used.

PS Don't forget to open issues, comment or suggest any improvements!