🗃 Data Sweeper – Streamlit Web App for Data Cleaning & Conversion

🚀 Overview

Data Sweeper is a Streamlit-based web application that allows users to upload, clean, visualize, and convert CSV and Excel files. It helps streamline data processing by removing duplicates, filling missing values, and converting files between different formats effortlessly.

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✨ Key Features

✅ Upload multiple CSV & Excel files
✅ Preview and clean data (remove duplicates, fill missing values, etc.)
✅ Select specific columns for data processing
✅ Visualize numerical data using interactive charts
✅ Convert and download files in CSV or Excel format

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🛠 Installation & Setup

📌 1. Clone the Repository

git clone https://github.com/zaidrj/Data_Sweeper.git
cd data-sweeper

📌 2. Install Dependencies

pip install -r requirements.txt

📌 3. Run the Streamlit App

streamlit run app.py

🎯 How to Use Data Sweeper

1️⃣ Upload a CSV or Excel file
2️⃣ Preview the data in a clean tabular format
3️⃣ Use the cleaning options (remove duplicates, fill missing values)
4️⃣ Select columns for further processing
5️⃣ Visualize numerical data with interactive charts
6️⃣ Convert and download the cleaned file in CSV/Excel format

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🚀 Deploying on Streamlit Cloud

📌 1. Push the Code to GitHub

Ensure your repository is updated with requirements.txt and app.py.

git add .
git commit -m "First commit"
git push origin main

📌 2. Deploy on Streamlit

1. Go to Streamlit Cloud
2. Click “New App” → Select your GitHub repo
3. Choose the main branch and enter app.py as the entry point
4. Click Deploy

🎉 Your app is now live on Streamlit Cloud!

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📬 Contact & Support

If you have any questions or issues, feel free to open an issue in the repository or contact me at:

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