Exploratory Data Analysis of Airbnb Listings Using Python

This project focuses on analyzing Airbnb listings data using Python to uncover insights about pricing, availability, and property characteristics.

The analysis includes data cleaning, handling missing values, and performing exploratory data analysis (EDA) to understand patterns within the dataset.

Several visualizations were created to explore relationships between variables such as price distribution, room types, location, and number of reviews.

Technologies used:

Python

Pandas

NumPy

Matplotlib

Seaborn

Jupyter Notebook

This project demonstrates my ability to analyze real-world datasets, clean data, extract insights, and present findings through data visualization.

Arabic Description:

في هذا المشروع قمت بتحليل بيانات Airbnb باستخدام لغة Python لاستخراج معلومات مهمة حول الأسعار وأنواع الغرف وتوفر الإقامات. شمل المشروع تنظيف البيانات ومعالجة القيم المفقودة وإجراء تحليل استكشافي للبيانات مع إنشاء رسوم بيانية لعرض النتائج.