Airbnb Data Analysis and Visualization

Application Link : https://yab-analysis-of-airbnb.streamlit.app/

Demo dataset : https://github.com/YABASEIMMANUEL/Yab-Analysis-of-AirBNB/blob/main/Dataset

Overview

The Airbnb Data Analysis and Visualization project is an extensive effort focused on data exploration and presentation. This project encompasses data collection, preprocessing, ETL (Extract, Transform, Load) operations, and the development of an interactive Streamlit user interface. Its primary goal is to deliver insights and make Airbnb data more comprehensible and accessible.

Features

• Data Collection: Gathered Airbnb data from various sources, including MongoDB.
• Data Preprocessing: Cleaned and prepared the data for thorough analysis.
• ETL (Extract, Transform, Load): Converted data from MongoDB into structured DataFrames.
• Exploratory Data Analysis (EDA): Conducted detailed analysis and visualization of Airbnb data.
• Interactive Streamlit UI: Developed a user-friendly interface for data exploration and presentation.
• PowerBI Dashboard: Created an engaging and interactive dashboard with dynamic filters.

Methods

• Data Collection: Utilized web scraping, API access, and database queries to obtain data.
• Data Preprocessing: Employed techniques for data cleaning, handling missing values, and feature engineering.
• ETL Work: Extracted data from MongoDB and transformed it into structured formats using Pandas.
• EDA: Applied visualization tools such as Matplotlib, Seaborn, and Plotly for data exploration.
• Streamlit UI: Used the Streamlit library to build an interactive web application.
• PowerBI: Developed dashboards and visualizations to present data effectively.

Skills Covered

• Data collection and integration
• Data cleaning and preprocessing
• ETL techniques for data transformation
• Exploratory Data Analysis (EDA)
• Data visualization
• Web application development with Streamlit
• Dashboard creation with PowerBI

Results

The project delivers a comprehensive, user-friendly interface for exploring Airbnb data. It showcases insights and trends within the Airbnb market through interactive charts and visualizations. The data is well-organized and prepared for further analysis.