Summarize and Aggregate Data in R
R is a sophisticated statistical programming language. Understanding data often starts with summarization and aggregation. This course will teach you how to use R and the dplyr package to summarize and aggregate your data to gain insights.
What you'll learn
Where do you start looking for insights in your data? Summarizing and aggregating your data is an excellent way to develop a deeper understanding of your data and identify areas for further analysis. In this course, Summarize and Aggregate Data in R, you'll learn how to use R. RStudio, and the dplyr package to explore your data. First, you’ll learn how to group your data by variables. Next, you’ll discover how to apply summary functions to calculate basic statistics such as averages and sums. Finally, you’ll explore how to use grouping and nested summaries to perform multi-level aggregations and identify further insights. When you’re finished with this course, you’ll have the knowledge of R and dplyr needed to ensure that you can prepare meaningful data summaries for your next analytics project!
Table of contents
About the author
Jason Browning is a data and analytics professional with extensive experience in both the public and private sector, currently serving as the chief data officer at Montana State University. As a Tableau Desktop Certified Professional, Jason loves to build data visualizations that both inform and inspire. He is capable of wrangling messy data both inside and outside of Tableau, and using SQL to perform complex queries. He holds a Ph.D. in higher education administration from the University of Wy... more