IMDB Movie Analysis
IMDB Movie Analysis
DURATION
1 Month
DURATION
1 Month
CLIENT
Behind the Scenes: What Makes a Movie Successful on IMDB?
CLIENT
Behind the Scenes: What Makes a Movie Successful on IMDB?
Data Science
Data Science
Movie Trends
Movie Trends
Predictive Analytics
Predictive Analytics
EDA
EDA
PROJECT OVERVIEW
PROJECT OVERVIEW
Explored the key factors influencing a movie's IMDB rating through data cleaning, genre & duration analysis, and insight-driven storytelling.
Explored the key factors influencing a movie's IMDB rating through data cleaning, genre & duration analysis, and insight-driven storytelling.


The Challenge
The Challenge
Breaking down multi-genre classifications and interpreting their impact on ratings required careful data manipulation and meaningful aggregation.
Breaking down multi-genre classifications and interpreting their impact on ratings required careful data manipulation and meaningful aggregation.






WHAT WE DID
WHAT WE DID
Cleaned and prepared the dataset, then conducted detailed analysis using Excel to explore how genre, duration, and other variables affect IMDB scores. Used storytelling and visualization techniques to present insights for industry stakeholders like producers and directors.
Cleaned and prepared the dataset, then conducted detailed analysis using Excel to explore how genre, duration, and other variables affect IMDB scores. Used storytelling and visualization techniques to present insights for industry stakeholders like producers and directors.




๐ What I Learned / Gained:
Gained deep insights into exploratory data analysis and correlation patterns between ratings, genres, and revenue.
Strengthened my ability to clean, process, and visualize large datasets using Python.
๐ ๏ธ Tools & Technologies Used:SQL (Advanced Queries) | PostgreSQL/MySQL | Excel | Data Cleaning | Analytical Thinking
๐ What I Learned / Gained:
Gained deep insights into exploratory data analysis and correlation patterns between ratings, genres, and revenue.
Strengthened my ability to clean, process, and visualize large datasets using Python.
๐ ๏ธ Tools & Technologies Used:SQL (Advanced Queries) | PostgreSQL/MySQL | Excel | Data Cleaning | Analytical Thinking
Tannu Antil
Tannu Antil
