koushik-l / imdb-movie-rating-analysis

IMDB Movie Analysis with Power BI

Power BI Dashboard Link

https://drive.google.com/file/d/1dBSNHwfjQOpesroFxkUcCMUHwwNqQIDG/view?usp=sharing

Problem Statement

The dataset provided focused on IMDB Movies, aiming to understand the factors influencing a movie's success on IMDB, defined by high ratings. This analysis was crucial for producers, directors, and investors making informed decisions for future projects.

Data Cleaning

• Preprocessed Data: Handled missing values, removed duplicates, converted data types, and performed feature engineering if needed.

Data Analysis

Explored data relationships, considering:

• Explored Correlation: Examined the correlation between IMDB ratings and variables like genre, director, budget, release year, and actors.

Data Analytics

A. Movie Genre Analysis

• Analyzed the distribution of movie genres and their impact on IMDB scores.

B. Movie Duration Analysis

• Analyzed the distribution of movie durations and its impact on IMDB scores.

C. Language Analysis

• Examined the distribution of movies based on language.

D. Director Analysis

• Analyzed the influence of directors on movie ratings.

E. Budget Analysis

• Explored the relationship between movie budgets and financial success.

Result

• With the help of Power BI, created a dashboard and gained useful insights into IMDB ratings for different regional movies. The dependencies on various factors were analyzed.

Tools and Techniques Used

• Python
• Data CLeaning and Preprocessing
• Data Analysis
• Data Visualizaation - Power BI