Arsal-Raza / Plotly_Dash

plotly and dash dashboard with python

Video Game Sales Analysis Dashboard

This is a web application built with Dash that allows users to analyze video game sales data through interactive charts and visualizations.

Features

• Select a genre from the dropdown menu to view sales data for that genre.
• Use the year range slider to filter data by specific years.
• Interactive bar, line, area, scatter, and pie charts display sales trends and distributions.

Getting Started

1. Prerequisites: Make sure you have Python and the required libraries installed. You can install the necessary packages using the following command: pip install dash pandas plotly

2. Clone the Repository: Clone this repository to your local machine using Git: git clone https://github.com/Arsal-Raza/Plotly_Dash.git

3. Run the App: Navigate to the project directory and run the app using the following command: python Video_game.py

4. Access the App: Open a web browser and go to http://127.0.0.1:8050/ to access the running app.

Screenshots

Insert screenshots or GIFs of your app in action here.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork this repository.
2. Create a new branch with a descriptive name: git checkout -b feature-name.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature-name.
5. Create a pull request on GitHub.

Acknowledgments

• The data used for this project is sourced from [https://www.kaggle.com/datasets/gregorut/videogamesales].
• Special thanks to Dash for the amazing interactive visualization library.