Amazon Product Data Explorer

A simple web application for performing Exploratory Data Analysis (EDA) on an Amazon sales dataset. The backend is built with Flask (Python) and the frontend uses HTML, CSS, and JavaScript.

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Features

• One-Click Analysis: Start analyzing the dataset instantly from the web interface.

• Dynamic Visualizations: View clear tables and interactive bar charts.

• Comprehensive Overview:

  • Preview of the first few rows of data.
  • Dataset schema with column names and non-null counts.
  • Missing value detection.
  • Descriptive statistics for numerical columns.
  • Bar chart of Top 10 product categories.
  • Bar chart of average user ratings for those top categories.
  • Insights into the relationship between discounts and ratings.

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How to Run

1. Prerequisites

• Python 3.6+
• pip (Python package installer)

2. Setup

a. Organize the Project Ensure your files are structured like this:

amazon-eda-project/
│
├── app.py
├── requirements.txt
├── static/
├── templates/
├── data/
│   └── amazon.csv

b. Download the Dataset

1. Download the dataset from Kaggle: Amazon Sale Dataset
2. Rename the downloaded file to:

amazon.csv

3. Place it inside the data/ folder.

c. Install Dependencies In your terminal or command prompt, navigate to the project folder and run:

pip install -r requirements.txt

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3. Run the Application

python app.py

4. Open in Browser

Go to:

http://127.0.0.1:5000

You’ll now be able to explore the Amazon dataset interactively.

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