simplified manner for insights and decision-making, by visualizing complex relationships with PCA web application
Project description
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
- Click here to download the excel file
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
!
Project details
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