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https://github.com/mdanwarulkarim/netflix-data-analysis-excel-project

This project analyzes Netflix's content data, emphasizing trends in production and distribution. It addresses business questions through an interactive dashboard, exploring movie and TV show distribution, key contributors, genre trends, and geographic diversity. The analysis provides insights into Netflix's expanding library.
https://github.com/mdanwarulkarim/netflix-data-analysis-excel-project

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This project analyzes Netflix's content data, emphasizing trends in production and distribution. It addresses business questions through an interactive dashboard, exploring movie and TV show distribution, key contributors, genre trends, and geographic diversity. The analysis provides insights into Netflix's expanding library.

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# Netflix-Data-Analysis-Excel-Project



## 📗 Introduction

Netflix is one of the world’s leading video streaming platforms, offering over 8,000 movies and TV shows to a global audience.

This project analyzes Netflix’s extensive content library to uncover insights into its content production, distribution, and performance. Using Excel, the project addresses critical business questions about genre trends, geographic diversity, and the contributions of directors, actors, and production countries. The analysis provides actionable recommendations to help Netflix enhance its content strategy and maintain its leadership in the competitive streaming market.



## Dashboard 

![netflix](https://github.com/user-attachments/assets/51302cd5-2c6f-496e-98ce-281b34354fa9)



## 📗 Purpose of the Project

The primary goal of this project is to analyze Netflix’s content library to gain insights that inform strategic decisions. Specific objectives include:



**Understanding Content Distribution Trends**: Explore how Netflix balances movies and TV shows and identify recent patterns. 


**Identifying Key Contributors**: Highlight directors and actors with significant contributions to Netflix’s library. 


**Exploring Genre Popularity**: Examine dominant genres and their appeal to audiences.


**Assessing Geographic Diversity**: Analyze which countries contribute the most content and how Netflix caters to global audiences. 


**Providing Strategic Recommendations**: Offer insights on expanding TV shows, diversifying genres, and increasing international content. 



## Tools Used

Microsoft Excel



## 📗 Data Overview

The dataset includes the following attributes:



show_id: Unique identifier for each title. 


type: TV Show or Movie.


title: Title of the content.


Director: Director of the movie or TV show.


cast: The main cast of the content.


country: Production country.


date_added: Date the content was added to Netflix.


release_year: Year the content was released.


rating: Content rating.


duration: Duration for movies or number of seasons for TV shows.


listed_in: Genre(s) the content belongs to.


description: Brief description of the content.



## 📗 Data Cleaning and Wrangling

**Removing Duplicates**: Verified that no duplicate entries existed in the dataset.


**Correcting Spelling Errors**: Fixed errors in the country column (e.g., "United states" corrected to "United States").


**Trimming Data**: Removed unnecessary whitespace for consistency.


**Handling Null Values**: Removed rows or columns with significant null values.


**Addressing Inconsistent Data**: Cleaned unreliable or improperly formatted entries.


**Find and Replace**: Replaced incorrect or inconsistent values with reliable, cleaned data.



## 📗 Key Findings

Content Distribution: TV shows and documentaries have seen significant growth, reflecting Netflix’s focus on long-form storytelling.


Genre Trends: Dramas and comedies dominate the library, while documentaries and thrillers are rising in popularity.


Geographic Diversity: The U.S. leads in content production, but Netflix is increasingly diversifying with content from countries like India, South Korea, and Japan.


Key Contributors: Several top directors and actors have a strong presence, contributing significantly to audience engagement.



## 📗 Conclusion

The analysis reveals that Netflix’s strategy of focusing on TV shows and documentaries is driving growth. However, to stay competitive, Netflix should Expand content diversity across genres and geographic regions.

Strengthen partnerships with top directors and actors. Focus on creating more original, long-form series to meet growing demand.



## 📗 Future Enhancements

Perform time-series analysis to track trends in content additions.

Integrate user ratings and reviews to analyze content performance.

Expand analysis to competitor datasets for comparative insights.

Feel free to explore this project and contribute! 🚀