# Transforming Your Data in R

Join us at R Open Labs tomorrow as Nuvan guides us through various techniques for performing data transformations in R.

February 5, 2020

Join us at R Open Labs tomorrow as Nuvan guides us through various techniques for performing data transformations in R.

January 29, 2020

For tomorrow’s Open Lab, Lorin will introduce us to the basic workflow process we’ll be using for all of our projects in R. Time allowing, there will also be information on data visualization with ggplot. Don’t miss it!

January 13, 2020

Welcome back! For those of you who are planning to attend R Open Labs this semester, our first lab will be on January 23 at the usual time: 2-3:30 PM. Also interested in learning Python? You’re in luck! Python Open … Continued

November 13, 2019

Our next and final Open Lab for Fall 2019 covers Modeling in R. You can learn more about this topic in R for Data Science Chapters 22-25. We look forward to seeing you there!

October 29, 2019

This week’s R Open Lab will be the first in a two-part introduction to scripting. We will start by taking a look at how you can create your own functions in R. Conditionals (if/then/else) will also be covered. More information … Continued

October 15, 2019

There will be no R Open Labs this week. Enjoy your Fall Break!

October 8, 2019

This week we will learn how to merge multiple datasets together along with some methods for reshaping our data. To get a head start, you can read R for Data Science Chapters 12 & 13. We hope to see you … Continued

October 2, 2019

Our next Lab puts a spotlight on text and categorical data as we explore using strings and factors in R. You can read about what we’re going to cover in R for Data Science Chapters 14 and 15. See you … Continued

September 26, 2019

Apologies, everyone! The last post said we would be covering R Markdown in today’s Lab, when in fact we will be covering Exploratory Data Analysis (EDA). Please see the lesson materials and optional reading materials. Sorry for the confusion!

September 25, 2019

Once we’ve written some code in R and gotten our results, what’s the best way to share them with an audience? Join us tomorrow for an introduction to R Markdown: a simple way of working in R that allows us … Continued