Data Analysis Projects | Pandas Projects | Data Analysis With Python Pandas | Case Studies - 14. Project - 9 | Data Analysis | IMDB Movie Dataset | Python Pandas Project | Kaggle Dataset

Kaggle Notebook : https://www.kaggle.com/code/priyang/data-analysis-imdb-movie-dataset Project - 9 IMDB Movie Dataset Exercise Solutions | Pandas Project | Kaggle Dataset Dataset Link: https://www.kaggle.com/PromptCloudHQ/imdb-data Questions: 1. Display Top 10 Rows of The Dataset 2. Check Last 10 Rows of The Dataset 3. Find Shape of Our Dataset (Number of Rows And Number of Columns) 4. Getting Information About Our Dataset Like Total Number Rows, Total Number of Columns, Datatypes of Each Column And Memory Requirement 5. Check Missing Values In The Dataset 6. Drop All The Missing Values 7. Check For Duplicate Data 8. Get Overall Statistics About The DataFrame 9. Display Title of The Movie Having Runtime Greater Than or equal to 180 Minutes 10. In Which Year There Was The Highest Average Voting? 11. In Which Year There Was The Highest Average Revenue? 12. Find The Average Rating For Each Director 13. Display Top 10 Lengthy Movies Title and Runtime 14. Display Number of Movies Per Year 15. Find Most Popular Movie Title (Highest Revenue) 16. Display Top 10 Highest Rated Movie Titles And its Directors 17. Display Top 10 Highest Revenue Movie Titles 18. Find Average Rating of Movies Year Wise 19. Does Rating Affect The Revenue? 20. Classify Movies Based on Ratings [Excellent, Good, and Average] 21. Count Number of Action Movies 22. Find Unique Values From Genre 23. How Many Films of Each Genre Were Made? pandas practice projects pandas projects for beginners pandas python projects pandas project ideas python pandas project ideas python projects using pandas pandas project in python python pandas project example python pandas practice projects pandas project python pandas #DataAnalysisProject #PandasProject