Skip to content

This project aims to analyze the provided IMDB movie dataset to uncover factors influencing movie success. Beginning with data cleaning and manipulation to handle missing values, duplicates, and feature engineering if necessary, the analysis progresses through various tasks.

Notifications You must be signed in to change notification settings

Bmounika4/IMBD-Movie-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

image IMDB Movie Analysis investigate a potential problem, “What factors influence the success of a movie on IMDB. Riposting to this problem is significant for movie producers, directors, and investors who want to understand what makes a movie successful to make informed decisions in their future projects. Here, I will perform Exploratory Data Analysis in which I will investigate the dataset to discover patterns, outliers and generate statistical summary, create various graphical representations to understand the data.

Results

Factors that influence the IMDB ratings are

Which genre most popular among movies – Drama, Thriller, Comedy, Action and Romance. In a common language most people can understand – English, Spanish. Director names with high production qualities i.e., high budget will leave a lasting effect on the users. Movie durations should be average i.e., not too long or too short. Having high IMDB score is not always an indicator for a profitable movie but it can be a successful movie.

About

This project aims to analyze the provided IMDB movie dataset to uncover factors influencing movie success. Beginning with data cleaning and manipulation to handle missing values, duplicates, and feature engineering if necessary, the analysis progresses through various tasks.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages