Paris Airbnb Market Analysis

Paris Airbnb Market Analysis

Analyzed Airbnb listings data for Paris using Python, Pandas, NumPy, Matplotlib, and Seaborn.

Performed data cleaning and preprocessing, including handling missing values and converting date fields for time-based analysis.

Explored pricing patterns across neighborhoods to identify the most expensive areas and accommodation trends by guest capacity.

Conducted time-series analysis on host activity by tracking the number of new hosts and average prices over multiple years.

Created visualizations such as bar charts, line charts, and dual-axis plots to communicate market trends and pricing behavior.

Generated insights on how market regulations impacted host growth and pricing stability over time.

Tools & Technologies:

Python, Pandas, NumPy, Matplotlib, Seaborn