https://github.com/ishmal793/business-dshboard-
Streamlit-based dashboard for business data analysis and visualization.
https://github.com/ishmal793/business-dshboard-
altair analytics business-intelligence data-analytics data-visualization interactive-ui pandas plotly python-dashboard streamlit
Last synced: 1 day ago
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Streamlit-based dashboard for business data analysis and visualization.
- Host: GitHub
- URL: https://github.com/ishmal793/business-dshboard-
- Owner: Ishmal793
- Created: 2024-12-27T19:48:07.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-06T17:31:37.000Z (3 months ago)
- Last Synced: 2025-06-02T04:43:43.604Z (23 days ago)
- Topics: altair, analytics, business-intelligence, data-analytics, data-visualization, interactive-ui, pandas, plotly, python-dashboard, streamlit
- Language: Python
- Homepage: https://7cbmp7dwyw245fwtgpxeqv.streamlit.app/
- Size: 31.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Streamlit Analytics Dashboard
This project is an interactive and dynamic analytics dashboard built using **Python**, **Streamlit**, **Pandas**, **Altair**, and **Plotly**. It helps visualize and explore business data through intuitive charts and metrics.
---
## 🚀 Project Overview
The dashboard allows users to:
- Explore data using powerful filters
- View summarized **business metrics** like total revenue, product performance, and price stats
- Visualize data using **bar charts**, **dot plots**, **scatter plots**, and **histograms**
- Understand sales trends with **monthly breakdowns**
---
## 📌 Features
- ✅ Data filtering with search capability
- 📈 Interactive bar and scatter charts (Altair, Plotly)
- 🧮 Auto-calculated metrics (total, max, min, range)
- 🎨 Visually appealing and responsive UI
- 📅 Date parsing and monthly insights
---
## 🛠️ Tech Stack
- Python
- Streamlit
- Pandas
- Altair
- Plotly
- streamlit-extras
---
## 📂 Folder Structure
```bash
├── data.csv # Sample dataset used for analysis
├── app.py # Main Streamlit app code
├── README.md # Project documentation