This tutorial is going to demonstrate how we can integrate R and Python code in the same project. Of course, some might say that everything we're about to do can be done entirely in either one of the languages. Personally, I love R for the tidyverse and ggplot2, Python for its unified machine learning (ML) API scikit-learn. I believe there are still many data scientist like me who love to leverage the pros of two languages in their work

Today, we will use a scatter plot to show correlation within a dataset. Let's look at the following scenario: You are given a dataset containing information about various animals. Visualize the correlation between the various animal attributes such as Maximum longevity in years and Body mass in grams

Datasets containing the data from a population study of non-alcoholic fatty liver disease (NAFLD). Subjects with the condition and a set of matched control subjects were followed forward for metabolic conditions, cardiac endpoints, and death.

This is an RMD file written in R and it is rendered to an HTML format if you are viewing it on Rpubs. The purpose of writing this document is to give a brief introduction about meta-analysis using R. My main focus would be the studies in “Health care and Medicine.”