javiegal/covid19-simulation

Data analysis project with simulated COVID-19 data developed for the Data Processes course of the Master's Programme in Data Science of UPM

covid19-simulation

Description

Project developed for the Data Processes course of the Master's Programme in Data Science of UPM.

This repository contains all the work done for the Data Processes assignment described in the assignment guide.

Deliverables

• Project plan placed in the docs folder.
• Technical report placed in the docs folder.
• Python script with the data analysis.
• KNIME package with the prediction model.

Requirements

The data analysis has been developed using the following software:

• Python 3.8.10
• Pandas 1.3.3
• Scikit-learn 1.0
• matplotlib 3.4.3
• Seaborn 0.11.2
• Lifelines 0.26.4

Prediction models have been developed using the following software:

• KNIME 4.5.0

Usage

To reproduce the data analysis performed, extract the content of the zip file in a folder and execute the following command:

$ python FOLDER_PATH

This execution will produce the console output, images (in covid19-simulation/imgs folder) and processed data (in covid19-simulation/data folder) explained in the technical report.

Authors

• María Ayuso Luengo (@mariaayuso)
• Doga Cengiz (@dogacengiz)
• Javier Gallego Gutiérrez (@javiegal)
• Pablo Hernández Carrascosa (@pablohdez98)