### Exercises & Videos
Try to complete this by beginning of class, but it's fine if you push it until after we meet. I'll be discussing some of this during that session.
**1. Using Binder & Jupyter Notebooks (*required*): 30 minutes**
* This lesson is required. It will cover the basics of what Binder is, what Jupyter Notebooks are, and how to use them.
* Launch the Using Binder & Jupyter Notebooks Jupyter Notebook at [](https://mybinder.org/v2/gh/ciakovx/ciakovx.github.io/master?filepath=using_jupyter_notebooks.ipynb)
* Watch the [Using Jupyter Notebooks](https://www.youtube.com/watch?v=3EKe_4zU4B0) video tutorial (25 min.):
@[youtube](https://www.youtube.com/watch?v=3EKe_4zU4B0)
**2. Introduction to R (*optional*): 30 minutes**
* No Jupyter Notebook or video tutorial for this lesson
* Skim the [Introduction to R](https://ciakovx.github.io/IntroductionToR.html) webpage for information on what R is, how it applies to librarianship, what R Studio is, and some useful help resources. We will not be using R Studio in this class; instead, we will be working entirely with Jupyter Notebooks, but if you are going further in your R journey you will want to use R Studio.
* Review the [Intro to R slides](https://osf.io/2y9q4/)
@[osf](2y9q4)
**3. R Basics: 30 minutes**
* This lesson is required. It will cover getting data into R, exploring and transforming data, particularly using `dplyr`. Some of these functions will be used in the `rcrossref` and `rorcid` tutorials, but they will be explained as we are running through them.
* Launch the R Basics Jupyter Notebook at [](https://mybinder.org/v2/gh/ciakovx/ciakovx.github.io/master?filepath=RBasics.ipynb)
Skim the R Basics webpage <https://ciakovx.github.io/RBasics.html>. Most of this content is covered in the R Basics Jupyter Notebook.
* Watch the [R Basics video tutorial](https://youtu.be/f1wkanaYhVA) (30 min.)
@[youtube](https://youtu.be/f1wkanaYhVA)
Note the solution to the problem at the end I couldn't figure out. It happens to all of us!
> NY <- state.name == "New York
> which(NY)
[1] 32
**4. Data Exploration (*required*): 1 hour**
* This lesson is required. It will cover getting data into R, exploring and transforming data, particularly using `dplyr`. Some of these functions will be used in the `rcrossref` and `rorcid` tutorials, but they will be explained as we are running through them.
* Launch the Data Exploration Jupyter Notebook at [](https://mybinder.org/v2/gh/ciakovx/ciakovx.github.io/master?filepath=DataExploration.ipynb)
* Skim the Data Exploration webpage at <https://ciakovx.github.io/DataExploration.html>.
* Watch the [Data Exploration video tutorial](https://youtu.be/O8q7fg1dFUU) (1 hour).
@[youtube](https://youtu.be/O8q7fg1dFUU)
