E-Commerce-Analysis

This repository contains code archives for E-Commerce Analysis.

Deployment

Link deployment for public: https://e-commerce-analysis-by-ika.streamlit.app/

Directory Structure

E-Commerce-Analysis/
│
├── SS/                 
│   ├── SS1.png
│   ├── SS2.png
│   ├── SS3.png
│   ├── SS4.png
│   ├── SS5.png
│   └── SS6.png
│
├── dashboard/                 
│   ├── e-commerce.png
│   ├── dashboard.py
│   └── main_data
│       ├── category_translation_cleaned.csv
│       ├── customers_cleaned.csv
│       ├── geolocation_cleaned.csv
│       ├── order_items_cleaned.csv
│       ├── order_payments_cleaned.csv
│       ├── order_reviews_cleaned.csv
│       ├── orders_cleaned.csv
│       ├── products_cleaned.csv
│       └── sellers_cleaned.csv
│
├── data/
│   ├── customers_dataset.csv
│   ├── geolocation_dataset.csv
│   ├── order_items_dataset.csv
│   ├── order_payments_dataset.csv
│   ├── order_reviews_dataset.csv
│   ├── orders_dataset.csv
│   ├── product_category_name_translation.csv
│   ├── products_dataset.csv
│   └── sellers_dataset.csv
│
├── LICENSE.txt
├── README.md
├── requirements.txt
└── url.txt

Project Setup / Installation Instructions

1. Clone the repository from GitHub:

   git clone https://github.com/ikanurfitriani/E-Commerce-Analysis.git
   

2. Navigate to the project directory:

   cd E-Commerce-Analysis
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Navigate to the dashboard directory:

   cd dashboard
   

5. Run the Streamlit application:

   streamlit run dashboard.py
   

Screen Capture

The following is a screen capture from the E-Commerce Analysis dashboard:

• SS
  
  
  

Author

@Ika Nurfitriani