CSV Data Analyzer

A Streamlit-based web application for performing Exploratory Data Analysis (EDA) on CSV datasets.

🚀 Live Demo

https://csv-data-analyzer-by-vaibhav-barman.streamlit.app/

Features

• Upload and analyze CSV files

• Dataset overview metrics

  • Total rows
  • Total columns
  • Missing values count
  • Duplicate rows count

• Data quality analysis

  • Missing values per column
  • Data types inspection

• Statistical summary of numeric columns

• Interactive histogram visualization

• Correlation analysis

• Interactive scatter plot analysis

• Outlier detection using box plots

• Dataset filtering

• Download analyzed dataset

Technologies Used

• Python
• Streamlit
• Pandas
• Plotly

Project Structure

CSV-Data-Analyzer/
├── example_screenshots/
│   ├── correlation_heatmap.png
│   ├── data_visualization.png
│   ├── dataset_overview.png
│   ├── download_dataset_button.png
│   ├── filtering_dataset.png
│   ├── outlier_detection.png
│   ├── scatter_plot_analysis.png
│   └── statistical_summary.png
├── app.py
├── requirements.txt
├── README.md
└── .gitignore

Installation

1. Clone the repository

git clone https://github.com/vaibhav-barman/CSV-Data-Analyzer
cd csv-data-analyzer

2. Create a virtual environment

python -m venv venv

3. Activate the virtual environment

Windows:

venv\Scripts\activate

Linux/Mac:

source venv/bin/activate

4. Install dependencies

pip install -r requirements.txt

5. Run the application

streamlit run app.py

Screenshots

Dataset Overview

Statistical Summary

Data Visualization

Correlation Analysis

Scatter Plot Analysis

Outlier Detection

Dataset Filtering

Dataset Export

Future Improvements

• Correlation heatmap visualization
• Data cleaning operations
• Sidebar navigation
• PDF report generation
• Machine learning integration

Author

Vaibhav Barman