E_Commerce_Data_Analysis

Finding a way to increase sell and knowing what product should be on prioritize and what product should be improve. Using Streamlit to deploy the dashboard with Cloud.

Dashboard Guide, How to Run

1. First of all, clone the repository into local directory, use this command:

  git clone https://github.com/notyouriiz/E_Commerce_Data_Analysis_Bangkit_Academy.git
  cd submission

2. Install Dependencies

The next step is to install all requiered dependencies

pip install -r requirement.txt

3. Run Dashboard with Streamlit

Use the following command

streamlit run dashboard/dashboard.py

Analysis Using Jupyter Notebook

This project also had an analysis using Jupyter Notebook which contain on file name "notebook.ipynb"

Dependencies

1. Pandas: Pandas is a popular open-source data manipulation and analysis library for Python. It provides powerful tools for working with structured data, making it easier to clean, transform, analyze, and visualize data.
2. Numpy: Library for numerical computation, provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
3. Seaborn: Seaborn is a powerful and user-friendly data visualization library for Python built on top of Matplotlib. It is specifically designed to make it easier to create attractive and informative statistical graphics.
4. Matplotlib.pyplot: is a module in the Matplotlib library that provides a MATLAB-like interface for creating static, interactive, and animated visualizations in Python. It is one of the most widely used libraries for data visualization and offers a range of features for creating various types of plots and charts.
5. Streamlit: Streamlit is an open-source framework for building interactive web applications specifically for data science and machine learning projects. It enables data scientists and analysts to create web apps quickly and easily, with minimal coding required.
6. Pillow: Python Imaging Library, is a library in Python that provides extensive capabilities for opening, manipulating, and saving various image file formats. It has been succeeded by a more modern fork called Pillow, which is actively maintained and includes additional features and improvements.

Dashboard URL

Dashboard Link