IMDB MOVIE ANALYSIS
By
Jipson o s
OVERVIEW
IMDB Movie Analysis
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PROJECT DESCRIPTION
This project is about the analyse of the given dataset which includes the collection of movies and their details. In this project, first, we will clean the dataset and will find the following
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APPROACH & TECH-STACK USED
After downloading the dataset, I imported it to my personal MS Excel and analysed what these columns and rows mean. First I clean the data which is removing duplicate values, dropping columns etc I answered all the Questions one by one using MS excel. I imported all the answers Like tables and charts from MS Excel to PowerPoint. I modified the tables and charts by increasing the font size and colouring the tables and charts to more engagement with the users more. The tech-Stack used for making this project is MS Excel(which includes pivot tables, charts, and functions), PowerPoint and Google drive.
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IMDB MOVIE ANALYSIS
1. Clean the Data
In this process, I clean the data in the following order
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2. Movies with the highest profit
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budget vs profit graph
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3. Top IMDB movies
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3. Top IMDB foreign films
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4. Best Directors
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Director name | mean of IMDB score |
Charles Chaplin | 8.60 |
Tony Kaye | 8.60 |
Alfred Hitchcock | 8.50 |
Damien Chazelle | 8.50 |
Majid Majidi | 8.50 |
Ron Fricke | 8.50 |
Sergio Leone | 8.43 |
Christopher Nolan | 8.43 |
Richard Marquand | 8.40 |
S.S. Rajamouli | 8.40 |
5. Best Genres
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Genres | popular genres |
Drama | 153 |
Comedy|Drama|Romance | 151 |
Comedy|Drama | 147 |
Comedy | 145 |
Comedy|Romance | 135 |
Drama|Romance | 119 |
Crime|Drama|Thriller | 82 |
Action|Crime|Thriller | 55 |
Action|Crime|Drama|Thriller | 50 |
Action|Adventure|Sci-Fi | 46 |
6(1). Audience favourite actor
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Actors | Mean of num_critic_for_reviews |
Brad Pitt | 245 |
Leonardo DiCaprio | 330 |
Meryl Streep | 181 |
Actors | mean of num_user_for_reviews |
Brad Pitt | 742 |
Leonardo DiCaprio | 914 |
Meryl Streep | 297 |
6(2). Number of votes users per decade
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INSIGHTS
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RESULTS
This project helped me a lot by engaging with the Advanced PowerPoint features and I feel by completing this project my presentation skills are now really improved. Also, My skills in MS Excel improved by doing this project and also get a chance to engage more with pivot tables, functions, formulas and different types of charts/graphs. This project gives a good example of how to extract and clean data.
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EXCEL WORKBOOK LINK
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Thank you��Jipson o s�jipson00716@gmail.com
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