In this post, I am building on the code I wrote in a previous post where l try to find the best hospital in a state given a condition such as heart attack, heart failure or pneumonia. The upgrade code is to find either the best or the worst for each of the state and […]
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 […]
