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Hello, I welcome you all to the project - 9 exercise video. In this video, we are going to get a brief overview of the questions mentioned in this project - 9 exercise. In this project -9 exercise, I have mentioned some questions for data analysis and data visualization from a very well-known real-world dataset. IMDB movie dataset. This dataset is available on Kaggle. Link: https://www.kaggle.com/PromptCloudHQ/imdb-data You can also download this exercise notebook from my Github account. Link:https://github.com/PRIYANG-BHATT/Datasets-Youtube-Pandas/tree/main/DS all right, As you can see in this video, I have mentioned 23 questions for this exercise. Just go ahead and just follow the directions and try your best to answer the questions. Always feel free to reference the solutions provided in the next video. Most of the tasks can be solved in different ways. So don't take the solution as the only way to solve it. so what you are going to do. just going along and follow the questions, that are highlighted in bold. you have some empty cells to work with. Below these cells, you can output what you should expect. Just create a cell above before solving the questions otherwise it will overwrite the expected output. As you go along the questions get gradually harder and harder. Best of Luck. This is all about this project - 9 exercises. In the next video, we will walk through the solutions to these exercises. 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
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