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 [Autogenerated] Hello. My name is Chase de Han and welcome to my course manipulating data frames And are I'm currently the lead data scientist, Pistorio and hold a phD in economics from the University of Utah. One of the most time consuming parts of my job is a data Scientists is taking raw data and converting it into a form that will work for modelling analysis. This time consuming step could be a lot of work, but if you're proficient, it can unleash a lot of productivity. First, we're gonna talk about how to create data frames from scratch, and then we're gonna go into how to slice of data frame to obtain the desired values. This will be followed by a detailed discussion about how to filter a data frame to keep certain values based on conditional logic. And they're gonna wrap it up by introducing the Deep Liar package, which provides for a really easy work of wrangling. Gato, 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 our programming language. I hope you'll join me on this journey with manipulating data frames in our course at plural site.