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Data Analysis Project

Overview

This Django-based web application allows users to upload CSV files, perform data analysis, and visualize the results. The application utilizes popular libraries such as pandas for data manipulation and seaborn for creating visualizations.

Features

  • File Upload: Upload CSV files for analysis.
  • Data Analysis: Automatically handle missing values and provide basic data statistics.
  • Visualizations: Generate and display histograms for numerical columns in the dataset.

Prerequisites

Ensure you have the following installed:

  • Python 3.x
  • pip (Python package installer)

Setup Instructions

  1. Clone the Repository:

    • git clone {repository-url}
    • cd {repository-directory}
  2. Install Dependencies: pip install -r requirements.txt

  3. Apply Migrations: python manage.py migrate

  4. Run the Development Server: python manage.py runserver

  5. Access the Application: Open your web browser and go to http://127.0.0.1:8000/ to use the application.

Usage

Upload Data File: Navigate to the homepage and upload a CSV file using the provided form. View Results: After uploading, you will be redirected to a results page showing basic statistics and a preview of the data. Visualizations: Click on the “View Visualizations” button to see generated histograms for the numerical columns in your dataset.

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