5.0 / 5
We will cover the following tasks in 41 minutes:
This is where we lay the ground work for the rest of the lesson. We will discuss what we will learn, I will show you quickly how to use the technology, and then a short bio about me your instructor.
Getting to work!
You don’t want to miss this section because we’re going to go over the Grammar of Graphics. We’re going to build our first plot, add some points and then finish off with a couple trend-lines.
Slicing and Dicing the Graphs
Of course you can filter the data.frame to get the reduction in data that you need for the graphs. But… There’s an easier way. I’ll show you in this section. Come on in.
Two Ways to do Titles and Axis labels
Titles and Axis labels. I’ll show you two ways. You choose. Clean titles are so important because we spend all this time with our data and we want our work to have the best effect. Take this section and you’ll see some ways to make your graphs stand out.
Point Colors and Sizes (Important!)
Maybe your the artist type. Or maybe not. But whatever the case we’re going to splash some color on our graphs. And even better, we are going to change our graph from two dimensions to three. Come in and see.
Axis Texts and Ticks
It’s a pain. Formatting the Tick marks the way you want. It’s one of the last things you’ll do. Don’t miss this section. I make your life much easier.
Scaling the Axis Tick Marks
This is part two. We will talk about the scales package. This is how you add dollar signs and percents to the axis.
There are custom themes built into ggplot. We will go over a couple. It’s a must see section. We end here as well.
Congratulations! I will share a couple final thoughts in this chapter before sending you off to the next tutorial! You did good.
About the Host (Chris Shockley)
I am an R enthusiast, hiker, and amateur astronomer. My favorite hike is located in Mt. Rainier National Park, my favorite Deep Sky Object is Alberio, and my favorite R package is dplyr (since I use it everyday). I have a dog named Coog (Lllasa Apso), and I love talking about Coog (as you'll find out soon). I work as a Data Analyst/Financial Analyst for a Metals Co. located in Seattle, WA. I have been in my current position for 4 years. I work primarily in R for Analytics and R Shiny for Deployment. I have built numerous apps over the past few years. My hope is that I can help you in learning R. Yes, the Rhyme Interface will help you. But. You also must take what you learn and practice, practice, practice. So... Let's get after it. See you soon.