Effective Use Mobile Apps for Consumer Health Informatics Research Project

       

Folder Directory

• code: Python Code subfolder contains py and ipynb scripts. R Code subfolder contains r and rmd scripts.
• data: contains data collected from google scraper
• literature: contains papers and research manuscripts pertaining to the project

 

This github repository was originally created by Timoteo Kelly for an emergency weather alert and mHealth applications research project with Dr. Bonaretti at Nova Southeastern University, between January 2022 and May 2023.

It contains several scripts and guides for scraping and storing google application reviews in Python, processing, analysis and data viz in R, and text classification with MonkeyLearn.

 

Repository Table of Contents

How to Scrape and Store Google Reviews from Multiple Apps with Python and SQLite

How to Scrape and Store Google Reviews from Multiple Apps with Python and MongoDB

Data Cleaning, Manipulation, Visualizations, Exploratory Analysis in R

Most of the guides have been created in jupyter notebooks so I recommend you download the files and open them in Google Colab if you do not already have jupyter notebook installed. (Google Colab requires no installation, just a google account).

  _{This code was adapted from:}