Being able to work with streams of data is critical for any data scientist. One of the major innovations in data manipulation is the tidyverse package, which the rest of this workshop will rely upon exclusively. This topic makes a brief introduction to the tidyverse constellation of libraries and helps you gain foundational skills in using it.

Lecture Content

For this topic, I will be spending a bit of time covering the broad foundation in data analysis. To do so, you have access to the following slide set1.

The content of the slides are based upon a larger narrative document, which is embedded below2. You can use this narrative document as a general work-flow for this topic. It has all the code necessary to perform the basic operations covered in the talk and reinforced in the activity included below.

And the link to the video of the lecture is here.

Supplemental Materials

In addition to this lecture content, you may find the following information helpful as you go though these exercises.


Here is the activity associated with this particular project

If you would like to see how I answered these quiestions, here is a link to the notebook.

  1. This is a presentation writing in Xaringan, an RMarkdown presentation type. It is an active embed in this page (and hosted elsewhere). It can be extracted my clicking on the slide and hitting the c key on your keyboard—to clone it into its own window (more commands available using ? for viewing).↩︎

  2. This is an R-Notebook document you can download directly to your computer. To do so, pull down the Code menu on the top right and right-click the Download RMD option and save it to your Landscape Genetics Project folder.↩︎