An analysis using a Python notebook with a dataset for Airbnb in Amsterdam. The notebook focuses on analyzing the types of properties and their availability. Additionally, slides are created to showcase the results and propose potential solutions.

Welcome to the Airbnb Amsterdam Analysis project! 🏡✨ This analysis aims to provide insights into the Airbnb landscape in Amsterdam.

The Python notebook included in this repository explores the types of properties available and their availability, contributing to a better understanding of the Airbnb market in the city. The project also includes slides summarizing the results and proposing potential solutions.

The Python notebook delves into the dataset, focusing on the types of properties offered on Airbnb in Amsterdam and their availability. 🌈

Key findings from the analysis are documented, shedding light on the property landscape in the city.

To facilitate communication of the analysis results, slides have been created. 🌟

These slides offer a visual representation of the findings, making it easier to share insights and proposed solutions with stakeholders.

To replicate the analysis on your local machine, follow these installation steps: