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.

๐Ÿ” 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.

๐Ÿ› ๏ธ Tools & Technologies Used:
SQL (Advanced Queries) | PostgreSQL/MySQL | Excel | Data Cleaning | Analytical Thinking

๐Ÿ” 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.

๐Ÿ› ๏ธ Tools & Technologies Used:
SQL (Advanced Queries) | PostgreSQL/MySQL | Excel | Data Cleaning | Analytical Thinking

Tannu Antil

Tannu Antil

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