https://github.com/namratha2301/python-dashboard-streamlit

Experimenting with Streamlit. Streamlit app provides an interactive visualization of the best-selling books, showcasing trends, top-selling books, top authors, genre distributions, and sales by decade.
https://github.com/namratha2301/python-dashboard-streamlit

css dashboard data-analysis pandas plotly python seaborn streamlit

Last synced: 13 days ago
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Experimenting with Streamlit. Streamlit app provides an interactive visualization of the best-selling books, showcasing trends, top-selling books, top authors, genre distributions, and sales by decade.

• Host: GitHub
• URL: https://github.com/namratha2301/python-dashboard-streamlit
• Owner: Namratha2301
• Created: 2024-11-03T22:53:50.000Z (14 days ago)
• Default Branch: main
• Last Pushed: 2024-11-03T23:19:24.000Z (14 days ago)
• Last Synced: 2024-11-04T00:16:31.862Z (14 days ago)
• Topics: css, dashboard, data-analysis, pandas, plotly, python, seaborn, streamlit
• Language: Python
• Homepage: https://python-dashboard-app.streamlit.app
• Size: 18.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Best Selling Books Dashboard

Streamlit app provides an interactive visualization of the best-selling books, showcasing trends, top-selling books, top authors, genre distributions, and sales by decade.



## Demo

You can view the live dashboard here: [Best Selling Books Dashboard](https://python-dashboard-app.streamlit.app/)

## Features

- **Sales Trend**: Visualizes the relationship between the publication year and the sales of the best-selling books.

- **Top Selling Books**: Displays a bar chart of the top 10 best-selling books.

- **Top Authors**: Shows a bar chart of the top 10 authors based on total sales.

- **Genre Distribution**: Illustrates the distribution of the top 10 genres among best-selling books.

- **Sales by Decade**: Visualizes total sales per decade in a bar chart.

## Technologies Used

- **Python**: The programming language used for building the app.

- **Streamlit**: A framework for creating web apps with Python.

- **Pandas**: Used for data manipulation and analysis.

- **Matplotlib** and **Seaborn**: Libraries for data visualization.

## Requirements

Make sure you have the following installed in your environment:

- Python 3.6 or later

- Streamlit

- Pandas

- Matplotlib

- Seaborn

You can install the required packages using pip:

```bash

pip install streamlit pandas matplotlib seaborn