https://github.com/dataprofessor/movies-explorer

https://github.com/dataprofessor/movies-explorer

Last synced: 10 months ago
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• Host: GitHub
• URL: https://github.com/dataprofessor/movies-explorer
• Owner: dataprofessor
• Created: 2023-12-14T06:30:42.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-06-24T05:55:35.000Z (about 2 years ago)
• Last Synced: 2025-04-28T07:41:48.030Z (about 1 year ago)
• Language: Python
• Size: 4.12 MB
• Stars: 9
• Watchers: 1
• Forks: 15
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# 🎬 Movies Explorer

What makes a successful movie? Which movie genre performs best at the box office?

These are some of the questions that may be answered by analyzing a large collection of movie data such as the one compiled from The Movie Database (TMDB). It serves as a valuable resource for investigating fundamental questions regarding their success with information on plot details, cast and crew composition, production budgets, box office revenues, etc.

This data app shows a simple demonstration of an interactive data explorer that allow users to adjust parameter widgets and observe in real-time updates to data visualization.

## Demo App

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://movies-explorer.streamlit.app/)

## GitHub Codespaces

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/dataprofessor/movies-explorer?quickstart=1)

## Reference

- [TMDB 5000 Movie Dataset](https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata)