Challenge: Help Patients
Explore data wrangling techniques in R to clean and transform healthcare patient data. Learn to handle missing values, correct data types, create new columns, and filter patients at risk. This lesson prepares you to make raw medical datasets usable for detailed analysis and decision-making.
We'll cover the following...
We'll cover the following...
Healthcare analysis
Imagine that we are working for a healthcare company and have been given a dataset of patient records. The dataset contains information about each patient, including their age, sex, and various medical measurements such as blood pressure, glucose level, and BMI index. However, upon closer inspection, we notice that the dataset is not in a clean and usable format.
Some of the columns contain missing values, and the data types of some columns are ...