Interactive CSV & Excel Data Explorer

A web application built with Streamlit and Pandas that allows users to upload a CSV or Excel file and perform basic data exploration.

This tool provides a user-friendly interface to quickly get insights from a dataset without writing any code.

Features

• File Upload: Securely upload CSV and Excel files directly in the browser.
• Data Preview: View the first 10 rows of your dataset in a clean, interactive table.
• Summary Statistics: Instantly generate and display descriptive statistics for all numeric columns.
• Data Types: See the data type for each column.
• Interactive Visualization: Select from multiple chart types (Bar, Line, Scatter) to visualize your data.

Tech Stack

• Streamlit: For the web application framework and user interface.
• Pandas: For data manipulation and analysis.
• OpenPyXL: For reading Excel files.

Installation & Setup

1. Clone the repository:

   git clone [https://github.com/aayush-0131/streamlit-data-explorer.git](https://github.com/aayush-0131/streamlit-data-explorer.git)
   cd csv-explorer

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

To run the application, navigate to the project directory in your terminal and execute the following command:

streamlit run app.py

Your default web browser will automatically open a new tab with the running application.