In this blog post, I show how to do PSM using R. A more comprehensive PSM guide can be found under: “A Step-by-Step Guide to Propensity Score Matching in R“. Creating two random dataframes Since we don’t want to use real-world data in this blog post, we need to emulate the ...
Thesectorsthat have adopted the use of data analytics include the travel and hospitality industry where turnarounds can be quick. This industry can collect customer data and figure out where problems, if any, lie and how to fix them. Healthcare combines the use of high volumes of structured ...
Read More:How to Use Analyze Data in Excel Feature 2 – Correlation Analysis In statistics, correlation or correlation coefficient is the parameter to show coherence between two variables in response to the continuous fluctuating quantity of another. Its value ranges from-1to+1. It has three stat...
a lot of the standard R functions for working with and summarizing data have been optimized for use with ff dataframes and vectors. The upshot of this is that working with data stored in ffdf format seems to be a pretty similar experience compared to w...
The role has become increasingly popular, which comes as no surprise with the massive amount of data we create in the modern world. Companies in all sectors need specialists who can harness data, analyze it, extract meaningful data-driven insights from it, and use those insights to help ...
Learn how to become a data analyst and launch your career in data analytics, including the necessary skills you need to succeed. Read on to take your next steps.
For importing data in the R programming environment, we have to set our working directory with the setwd() function. For example: setwd("C:/Users/intellipaat/Desktop/BLOG/files") To read a csv file, we use the in-built function read.csv() that outputs the data from the file as a da...
Given that R is a statistical language, it provides a lot of tools that you can use for data analysis as well as predictive models that you can train and use to generate predictions. Using your favorite search engine, you can locate all of the packages and functions in packages that you ...
Learn more: How much do data analysts make? Data analysts may use different techniques depending on the project they are working on. These techniques include various forms of analysis, each serving a specific purpose. Regression analysis: Predictions, cause-and-effect analysis, trend identification ...
RStudio in the cloud? Find out how it works and how you can get started for free. Our comprehensive guide shows you why you should move R and RStudio to the cloud.