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https://github.com/swethajoseph/netflix-powerbi-interactive-dashboard

Created an interactive Netflix Power BI dashboard to analyze and visualize Netflix's content library, uncovering trends in content type, genre distribution, and global reach
https://github.com/swethajoseph/netflix-powerbi-interactive-dashboard

data-analysis data-visualization interactive-visualizations powerbi powerbi-dashboards powerbi-report

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Created an interactive Netflix Power BI dashboard to analyze and visualize Netflix's content library, uncovering trends in content type, genre distribution, and global reach

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# Netflix-PowerBI-Interactive-Dashboard

Netflix

## Overview
Netflix is a popular streaming platform offering a vast library of movies, TV shows, and documentaries to a global audience. This project involves the analysis of Netflix data using a Power BI dashboard to provide insights into the streaming platform's content library and user engagement. The analysis aims to uncover trends in content type, genre distribution, release years, and user preferences, helping to inform strategic decisions for content development and user retention.

## Dataset Description
The dataset used in this project contains detailed information about Netflix's content library. It includes the following key attributes:

* Title: The name of the content.
* Type: Whether the content is a movie or a TV show.
* Director: The director of the content.
* Cast: Main actors involved in the content.
* Country: The country of origin of the content.
* Date Added: The date the content was added to Netflix.
* Release Year: The year the content was originally released.
* Rating: The content rating (e.g., PG, R, etc.).
* Duration: The duration of the content (in minutes or number of seasons for TV shows).
* Genre: The genre(s) of the content.
* Description: A brief description of the content.

## Netflix Dashboard

Netflix Dashboard

## Project Components
## Power BI Dashboard
Interactive Visualizations: The Power BI dashboard provides interactive visualizations to explore the dataset, including:
* Content Type Distribution: Breakdown of content into movies and TV shows.
* Genre Distribution: Visualization of the most popular genres on Netflix.
* Content Release Trends: Analysis of content release years and trends over time.
* Country of Origin: Geographic distribution of content based on country of origin.
* Rating Analysis: Distribution of content by rating category.

## Data Analysis
* Content Trends: Analyzed the trends in content addition over the years, identifying peaks in content release.
* Genre Insights: Explored genre preferences and the dominance of certain genres in the Netflix library.
* Geographic Distribution: Assessed the diversity of content origins, highlighting the global nature of Netflix's offerings.
* User Engagement: Investigated potential user engagement trends based on the type and genre of content.

## Tools Used
* Power BI: For creating the interactive dashboard and visualizing data insights.
* Excel: For data preprocessing and cleaning if necessary.
* Netflix Dataset: Provided as a CSV file, containing detailed information about Netflix titles.

## Insights
* Genre and Rating Analysis: Identified which genres are most popular and which age ratings are most common on Netflix.
* Regional Content Trends: Analyzed content distribution across different countries, revealing insights into regional preferences and market focus.
* Time-Series Analysis: Tracked content addition over the years, providing insights into Netflix’s content acquisition strategy.

## Conclusion
The Netflix Dashboard offers a comprehensive analysis of the streaming platform's content library, enabling stakeholders to understand trends in content production, viewer preferences, and regional content distribution. This tool can be used to guide content strategy, marketing, and expansion efforts.

For any questions or suggestions, please reach out to [LinkedIn | Swetha Kizhavana Joseph](https://www.linkedin.com/in/swetha-kizhavana-joseph-04b68721b/)