This is a data analysis scenario given that you have lot of data on hospitals across the United States and you want to perform a simple analysis to easily determine which hospital has lower deaths in a given state for a given condition. The data originally used for the analysis was from https://www.medicare.gov/ but l just want […]
In this lesson, l will continue discussion on the dplyr package. I had started introducing basic data manipulations using dplyr in a previous post which can be found here. To continue the discussion, we will go through how we can group data by one or more variables in our data set. We are going to work […]
In this post, l will briefly go over the dplyr package which can make data manipulation very easy in R. First install the package from CRAN by issuing install.packages(“dplyr”). After installing load the package by issuing the command library(dplyr). This tutorial is on dplyr version 0.4.0 or later so check to make sure the requirement […]
I want to quickly go over the basic steps to get git and github working. Years ago l wrote on one of the version control softwares subversion which you can find somewhere on my blog. Version control software are critical in many situations and git is free software you can install on your laptop to […]