Diabetes R Data
In this blog, we demonstrated the data wrangling and analysis capability of r and ore for the diabetes data set. a workable dataset was successfully created from the raw data. based on the dataset, a clustering and decision tree based analysis and visualization provided important insights into the data, which can be useful for evaluation of the effect of the treatment for diabetes patients. The app’s main page shows five selection features in the left sidebar: intro, studies info, annual data, sponsor data, and map. the intro presents videos that provide background information about diabetes and the difference between a clinical trial and an observational study. i will describe selected insights in the following app features. Since the patients may have different levels of symptoms and also vary in treatment (such as insulin dose), we first conduct a clustering analysis to see if there are underlying groups. for now, we ignore the timestamps and just do an aggregation on the patient le...