pca-pwa

pca-pwa, a simplified manner for insights and decision-making by visualizing complex relationships with PCA web application.

The Purpose of the Package

• The purpose of the package is to offer a simple way of visualizing relatationships between items of any given dataset. The user could easily obtain a pca plot without needing to configure or compile the application.

Installation

To install pca_pwa, you can use pip. Open your terminal and run:

pip install pca_pwa

Open IPython or Jupyter Notebook

>>> from pca_pwa import app
>>> app.app.run(debug=True, use_reloader=True, host='0.0.0.0', port=8082)
>>> # * Serving Flask app 'app'
>>> # * Debug mode: on
>>> # * Running on http://127.0.0.1:8082

Open the url: http://127.0.0.1:8082

Upload xslx/slx file (Excel)

• e.g.:
  • Click here to download the excel file
    • Items/Observations should be in rows
    • Variables/Features should in columns

Choose a method of imputation for missing values

Then run the pca by clicking Perform PCA button.

Otherwise you can use git clone:

Here is the Usage:

Clone the github repository

git clone https://github.com/danymukesha/pca-pwa.git

Run the app

cd pca-pwa
python3.1 pca-pwa/app.y

# * Serving Flask app 'app'
# * Debug mode: on
# * Running on http://127.0.0.1:8082

Open the url: http://127.0.0.1:8082

License

This project is licensed under the MIT License.

Credits

Author: MIT © Dany Mukesha

Email: danymukesha@gmail.com

Thank you for using pca_pwa!