https://github.com/akashvarma26/data-analysis-on-imbd-using-sqlite3

Data Analysis on IMDb dataset using sqlite3 and Pandas in Jupyter notebook.
https://github.com/akashvarma26/data-analysis-on-imbd-using-sqlite3

data-analysis jupyter-notebook pandas-dataframe sqlite

Last synced: about 2 months ago
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Data Analysis on IMDb dataset using sqlite3 and Pandas in Jupyter notebook.

• Host: GitHub
• URL: https://github.com/akashvarma26/data-analysis-on-imbd-using-sqlite3
• Owner: Akashvarma26
• Created: 2023-07-24T13:46:48.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-07-24T14:08:21.000Z (almost 3 years ago)
• Last Synced: 2025-01-29T11:14:05.062Z (over 1 year ago)
• Topics: data-analysis, jupyter-notebook, pandas-dataframe, sqlite
• Language: Jupyter Notebook
• Homepage:
• Size: 1.16 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Data_Analysis-on-IMBd-using-sqlite3   

By above Analysis we can see that :-     

    1) Pirates of the Caribbean: On Stranger Tides is the highest budget film.    

    2) Avatar got the highest revenue.     

    3) Steven Spielberg has highest number of movies directed and he generated highest revenue.    

    4) The most popular movie is Minions.      

    5) Most bankable movie is Pirates of the Caribbean: On Stranger Tides.