https://github.com/ojas-arora/filmdatahub

https://github.com/ojas-arora/filmdatahub

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/ojas-arora/filmdatahub
• Owner: Ojas-Arora
• License: apache-2.0
• Created: 2024-07-03T17:04:29.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-08-12T18:00:58.000Z (10 months ago)
• Last Synced: 2024-12-30T05:54:10.935Z (5 months ago)
• Language: Python
• Homepage: https://appapppy-rvbjjsaxxkdycfsw5axoe6.streamlit.app/
• Size: 2.91 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Codeowners: .github/CODEOWNERS

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README

        
                                                  🎬 FilmDataHub

Welcome to FilmDataHub! This project provides an interactive visualization app featuring data from [The Movie Database (TMDB)](https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata). [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://appapppy-rvbjjsaxxkdycfsw5axoe6.streamlit.app/). Explore the world of cinema and discover insights into movie genres and box office performance over the years.

![image](https://github.com/user-attachments/assets/766e8ea2-1c61-42de-9d36-8938e473ef0b)

I. Features

1. Interactive Visualizations: Dive into detailed charts and graphs showing genre trends, gross earnings, and more.

2. Customizable Analysis: Select specific genres and years to tailor your exploration.

3. Data Source: Utilizes data from TMDB to provide accurate and up-to-date insights.

II. Installation

To run FilmDataHub locally:

1. Clone this repository:

git clone https://github.com/yourusername/FilmDataHub.git

cd FilmDataHub

2. Install dependencies:

pip install -r requirements.txt

3. Run the Streamlit app:

streamlit run app.py

Open your web browser and go to http://localhost:8501.

III. Usage

Select genres using the multiselect widget to filter data.

Use the slider to choose specific years for analysis.

Explore summary statistics, line charts, bar charts, and bubble charts showcasing movie genre insights.

IV. Screenshots

V. Contributing

Contributions are welcome! Please fork the repository and submit pull requests to contribute to FilmDataHub.

VI. License

This project is registered under the MIT License