Exploratory Data Analysis Web App

Welcome to the Exploratory Data Analysis (EDA) Web App! This application is designed to assist users in analyzing datasets through a simple and interactive interface.

Explore the EDA Web App Now

Features

• Data Upload: Upload a CSV file to start the analysis.
• Data Information: View basic information and descriptive statistics of the uploaded data.
• Textual Column Analysis: Analyze unique values, word clouds, and top words for textual columns.
• Numerical Column Analysis: Explore basic statistics, histograms, covariance, pair plots, and correlation matrix for numerical columns.
• Refresh: Option to refresh the app to the initial state.

How to Use

1. Upload Data:

   • Click on "Choose a CSV file" to upload your dataset.
   • Ensure your CSV file contains both textual and numerical columns for a comprehensive analysis.

2. Select Analysis Type:

   • Choose between analyzing textual or numerical columns.
   • For textual columns, select the specific column for analysis.
   • For numerical columns, select one or more columns.

3. Analyze:

   • Explore the various analysis options such as word clouds, histograms, covariance, pair plots, and more.
   • Understand the patterns and relationships within your data.

4. Refresh to Beginning:

   • Use the "Refresh" button to reset the app to its initial state.

Tech Stack

• Streamlit
• Pandas
• Matplotlib
• Seaborn
• WordCloud
• NLTK

Installation

# Clone the repository
git clone https://github.com/Jeetanand/Exploratory_Data_Analysis_webapp.git


# Change directory
cd Exploratory_Data_Analysis_webapp

# Install dependencies
pip install -r requirements.txt

Run the App

streamlit run your_app_name.py

Replace your-username, your-repository, and your_app_name.py with your GitHub details and app file name.

Author

Abhijeet Anand