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This project is for analyze IMDB data using PANDAS Library on JUPITER NOTEBOOK

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Darsh0503/IMDB_data_analyst

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IMDB_data_analyst

. Question_List

  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] .

Screenshot 2023-02-08 at 5 52 31 PM

Screenshot 2023-02-08 at 5 53 41 PM

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This project is for analyze IMDB data using PANDAS Library on JUPITER NOTEBOOK

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