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https://github.com/bniladridas/dataanalysis
An open-source Python script for data analysis and exploration using pandas.
https://github.com/bniladridas/dataanalysis
data-analysis flask pandas spreadsheet
Last synced: about 1 month ago
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An open-source Python script for data analysis and exploration using pandas.
- Host: GitHub
- URL: https://github.com/bniladridas/dataanalysis
- Owner: bniladridas
- License: mit
- Created: 2024-01-28T13:45:57.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-09-09T09:12:46.000Z (4 months ago)
- Last Synced: 2024-10-20T05:40:51.557Z (2 months ago)
- Topics: data-analysis, flask, pandas, spreadsheet
- Language: Python
- Homepage:
- Size: 20.5 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🚀 Ultra Premium Data Analysis Tool
An open-source, high-performance Python-based solution for data analysis and exploration, transformed into an interactive web application powered by Flask. Designed for seamless, user-friendly insights into your tabular datasets, all through the browser.
## 🌟 Overview
Unlock the power of **pandas** with this intuitive tool, perfect for anyone from data enthusiasts to professionals. Perform quick exploratory analysis, generate insights, and get a structured understanding of your data—straight from your browser, no coding required!
## ✨ Key Features
- **Descriptive Statistics**: Instantly access a comprehensive summary of your dataset, including means, counts, percentiles, and more, tailored for numerical columns.
- **Dataset Overview**: Get a clear snapshot of your data, including column names, non-null counts, and data types. Missing values? We’ll point them out and offer detailed information on where they exist.
- **Data Preview**: View the first few rows of your dataset to get a quick understanding of its structure, ensuring it’s ready for deeper analysis.
## 🚀 Quick Start Guide
### 🔧 Prerequisites
Make sure you have the following ready:
- **Python 3.x** installed on your system.
- The required Python libraries: `pandas` and `Flask`.
### 📦 Installation
Install dependencies using pip:
```bash
pip install pandas Flask
```
### 🏗️ How to Use
1. **Clone the repository** to your local machine:
```bash
git clone https://github.com/niladrridas/dataanalysis.git
```
2. **Navigate** to the project directory:
```bash
cd dataanalysis
```
3. **Run the Flask application**:
```bash
python app.py
```
4. **Open your browser** and head to:
`http://127.0.0.1:5000/`
5. **Upload your dataset**: Enter the full path of your CSV file in the provided form and click "Explore Data." Instantly analyze your data and get actionable insights.
## 🌐 Web Hosting and Deployment
Want to make the tool accessible to a wider audience? Deploy the application to a web server (like **Heroku**, **AWS**, or **DigitalOcean**) and share your interactive analysis tool with the world. Each platform has its own guidelines—simply follow their steps to get up and running in no time.
## 🛠️ Contributing
We welcome all contributors to elevate this tool even further! Found a bug? Have a feature request? Feel free to:
- Open an [issue](https://github.com/niladrridas/dataanalysis/issues)
- Submit a pull request with your enhancements or fixes
Let’s build something great together!
## 📜 License
This project is open-source and licensed under the **MIT License**. For more details, please see the [License](https://github.com/niladrigithub/dataanalysis/blob/main/LICENSE) file.
---
💻 Developed by [Niladri Das](https://github.com/niladrridas)