Skip to content

Exploratory Data Analysis of IMDB Dataset using Pandasql, Pandas, sqlite3, NumPy, Matplotlib and Seaborn.

Notifications You must be signed in to change notification settings

TechExplorer-AK/IMDB-Data-Analysis-Using-pandasql

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 

Repository files navigation

IMDB-Data-Analysis-Using-pandasql

For this project we will analyze the IMDB Dataset using pandasql.

Dataset Overview:

The IMDb dataset comprises the following columns:

  • id: Unique movie identifier.
  • belongs_to_collection: Collection information for the movie.
  • budget: Production budget.
  • genres: Movie genres.
  • homepage: URL to the movie’s homepage.
  • imdb_id: IMDb unique identifier.
  • original_language: Language of the movie.
  • original_title: Original title.
  • overview: Movie synopsis.
  • popularity: Popularity score.
  • poster_path: Path to the movie poster.
  • production_companies: Companies involved in production.
  • production_countries: Countries of production.
  • release_date: Date of release.
  • runtime: Duration of the movie.
  • spoken_languages: Languages spoken.
  • status: Movie status.
  • tagline: Movie tagline.
  • title: Title of the movie.
  • Keywords: Relevant keywords.
  • cast: Main actors.
  • crew: Main crew members.
  • revenue: Total revenue.

About

Exploratory Data Analysis of IMDB Dataset using Pandasql, Pandas, sqlite3, NumPy, Matplotlib and Seaborn.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy