When you run the project (run the main.py in the "src" folder) you can navigate through the menues by entering the required input. In the first layer you can choose if you want to explore the dataset or if you want to visualize some data. In the second layer you can then specify from the two options what exactly you want to do.
Our project is all about making a tool for Airbnb 🏠. We're a group of students learning Python in the Course "Programming for Data Science". With this project, we're diving into real data to learn how to analyze it. Our goal is to build a tool that's easy to use and helps people understand Airbnb listings better. We're excited to learn and create something useful for others in the process!
The tool allows users to explore, analyze, and visualize data related to Airbnb listings, empowering them to make informed decisions about pricing, marketing strategies, and more. 📊 📈
The collaborators on this project are Nino Wyssmann, Raphael Reinalter, Martin Schnider and Susanne Liskova. We are Computer Science Students and are excited to start our first Python Project.
Our goal with this coding project is to develop a user-friendly tool that simplifies the process of exploring and analyzing Airbnb data. We aim to provide valuable insights to users, enabling them to optimize their Airbnb rental strategies and improve their business outcomes.
By engaging in this project, we aim to deepen our understanding of data manipulation, analysis, and visualization techniques in Python. Additionally, we aspire to enhance our collaboration and problem-solving abilities by working together as a team to create a functional and valuable tool for exploring Airbnb data.
This project stands out for its simplicity, yet comprehensive functionality. It offers a seamless experience for users to manipulate data, select specific parameters for analysis, and generate dynamic visualizations, thereby providing actionable insights for optimizing Airbnb rental strategies.
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Download Data: Obtain the dataset from Kaggle.
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Installation: Install necessary Python libraries using the following command: pip install -r requirements.txt
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Execution: Run the Python script to start exploring the dataset, selecting data subsets, and generating visualizations.
- Dataset: https://www.kaggle.com/datasets/arianazmoudeh/airbnbopendata?resource=download
- GitHub Repository: All important resources are located in our GitHub repository, link: https://github.com/PythonDataScience24/AirBnB