People coming from spreadsheets are blown away with how easy and powerful it is to manipulate tabular data with R. In this course, you will learn the fundamental building blocks of how to work with the R data frame.
Data preparation is one of the most difficult and time-consuming tasks for data professionals. In this course, Manipulating Dataframes in R, you will learn foundational knowledge of the R dataframe. First, you will explore the basics of the data frame. Next, you will discover how to access certain fields in your data. Finally, you will learn how to do these same tasks with the powerful dplyr package. When you’re finished with this course, you will have the skills and knowledge of data manipulation in R needed to succeed at getting your data into the proper form for analysis.
Course Overview Hello. My name is Chase DeHan, and welcome to my course, Manipulating Dataframes in R. I'm currently the lead data scientist at Tesorio and hold a PhD in economics from the University of Utah. One of the most time-consuming parts of my job as a data scientist is taking raw data and converting it into a form that will work for modeling and analysis. This time-consuming step can be a lot of work, but if you're proficient, it can unleash a lot of productivity. First, we're going to talk about how to create dataframes from scratch, and then we're going to go into how to slice a dataframe to obtain the desired values. This will be followed by a detailed discussion about how to filter a dataframe to keep certain values based on conditional logic. And then we're going to wrap it up by introducing the dplyr package, which provides for a really easy work of wrangling data after we have built some of these fundamentals. By the end of this course, you'll have the foundational knowledge to get your data into an appropriate form for whatever task you're working on. Before beginning this course, you should be familiar with the basics of the R programming language. I hope you'll join me on this journey with the Manipulating Dataframes in R course, at Pluralsight.