https://github.com/ishmal793/bi-dummy-
An interactive and beginner-friendly data dashboard built using Streamlit. Upload your own CSV or Excel file, apply filters, view key statistics, and generate beautiful visualizations with no coding required.
https://github.com/ishmal793/bi-dummy-
data-analytics data-visualization eda pandas plotly python-dashboard streamlit
Last synced: 27 days ago
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An interactive and beginner-friendly data dashboard built using Streamlit. Upload your own CSV or Excel file, apply filters, view key statistics, and generate beautiful visualizations with no coding required.
- Host: GitHub
- URL: https://github.com/ishmal793/bi-dummy-
- Owner: Ishmal793
- Created: 2024-12-25T15:49:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-09T17:15:00.000Z (about 1 year ago)
- Last Synced: 2025-06-23T15:49:55.423Z (11 months ago)
- Topics: data-analytics, data-visualization, eda, pandas, plotly, python-dashboard, streamlit
- Language: Python
- Homepage: https://ogr3xrsreymmuqspkdtapp8.streamlit.app/
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 📊 Interactive Data Dashboard using Streamlit
This is an interactive web-based data dashboard built using **Streamlit**, designed to simplify exploratory data analysis (EDA) for data analysts and beginners. Users can upload CSV or Excel files, apply filters, view data summaries, and generate a variety of visualizations—all without writing a single line of code.
---
## 🚀 Features
- 📁 Upload CSV or Excel files
- 📑 View data table with statistics
- 🧮 Automatically detects numerical and categorical columns
- 🔍 Filter data using checkboxes, sliders, and multiselects
- 📊 Visualizations include:
- Bar Chart
- Line Chart
- Pie Chart
- Scatter Plot
- Gauge Chart
- Area Chart
- 🧠 Summary metrics (Max, Min, Average) for numerical columns
- 🖱️ Easy navigation using sidebar
---
## 🌐 Live Dashboard
👉 Try the app live: [Interactive Dashboard](https://ogr3xrsreymmuqspkdtapp8.streamlit.app/)
---
## 📂 How to Run Locally
1. Clone the repository:
```bash
git clone https://github.com/your-username/your-repo-name.git
cd your-repo-name