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Performed data analysis on a Netflix dataset, answering key questions about content trends, genres, and distribution. The project includes data cleaning, visualizations, and insights into Netflix's catalog using Python, Pandas, and Matplotlib/Seaborn in Google Colab.

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Netflix-Dataset-Analysis

This project involves analyzing the Netflix dataset, exploring various trends, and answering important questions using the data. The analysis focuses on key metrics such as content distribution by genre, release year trends, and country-wise analysis.

Visualizations and graphs are used throughout the project to provide insights into the data and clarify interpretations. The goal of this project is to offer a comprehensive understanding of Netflix's content library through exploratory data analysis (EDA).

Key Features: Data cleaning and preprocessing Detailed analysis of Netflix's content by genre, release year, and country Graphical representations to answer key business questions Insights into popular genres and content growth over time Tools & Libraries: Python Pandas Matplotlib / Seaborn (for data visualization) Google Colab

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Performed data analysis on a Netflix dataset, answering key questions about content trends, genres, and distribution. The project includes data cleaning, visualizations, and insights into Netflix's catalog using Python, Pandas, and Matplotlib/Seaborn in Google Colab.

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