Welcome to the Movie Lens Project! This repository contains a Power BI report crafted from a vast online film, TV, and streaming content information database. By leveraging smart data handling techniques and creating striking visuals, this project uncovers key trends and insights in the entertainment industry, aiming to elevate decision-making and set a new benchmark for data-driven strategies.
The primary goal of this project is to analyze the Movie Lens dataset to uncover valuable insights and trends in the film and TV industry. The analysis focuses on various aspects such as genres, ratings, popular content, and more, providing a comprehensive view of the entertainment landscape.
- Data Integration: Combined multiple data sources to create a unified dataset.
- Data Cleaning and Preparation: Ensured data quality through preprocessing steps like removing duplicates, handling missing values, and normalization.
- Interactive Dashboards: Developed interactive Power BI dashboards allowing users to explore data dynamically.
- Visualizations: Created compelling visualizations including bar charts, line graphs, and pie charts to represent key metrics and trends.
- Insights and Trends: Identified and analyzed significant trends such as popular genres, top-rated content, and viewing patterns.
- https://drive.google.com/drive/folders/1FHaaueS9cBCyMCc7z7mtY0a4CbnMBvyT?usp=sharing: Folder containing the raw data files used in the project.
- Purpose: Provides a high-level summary of the dataset.
- Key Metrics: Total number of movies, average rating, number of reviews.
- Purpose: Explores the popularity and performance of different genres.
- Key Metrics: Number of movies per genre, average rating per genre, trend analysis.
- Purpose: Highlights the top-rated movies and TV shows.
- Key Metrics: Top 10 movies by rating, top 10 TV shows by rating, user review analysis.