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ramesh636450/Airbnb-Listing-Analysis-Python: Python EDA on Airbnb listing data to analyze pricing trends, location performance, availability patterns, and host behavior using Pandas and Matplotlib. · GitHub

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Airbnb Listing Analysis — Python

Overview

Exploratory data analysis on Airbnb listing data to uncover pricing trends, location-based performance, and availability insights.

Problem Statement

Hosts and analysts need to understand pricing dynamics and demand patterns to make data-driven listing decisions.

Tools Used

  • Python (Pandas, NumPy, Matplotlib, Seaborn)
  • Jupyter Notebook

Key Findings

  • Identified high-demand neighbourhoods and peak pricing periods
  • Analyzed correlation between listing features and price
  • Found availability and review patterns by room type

How to Run

pip install pandas numpy matplotlib seaborn jupyter notebook Airbnb_Analysis.ipynb

About

Python EDA on Airbnb listing data to analyze pricing trends, location performance, availability patterns, and host behavior using Pandas and Matplotlib.

Topics

airbnbdata-analyticsedamatplotlibpandaspricing-analysispythonseaborn

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