dplyr Intermediate

This is a great course. We will be going over so much. Did you know that a Cow sleeps 4 hours a day? Or the human brain weighs 1.32 ounces? We will find these little tidbits out while we practice with the mutate function and others. Come in and get some more work in dplyr.

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dplyr Intermediate

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Task List


We will cover the following tasks in 41 minutes:


Final Thoughts

To be good at analytics you need to be fast. And to be fast you need to practice. Don’t spend a day without using dplyr for the first year. Play with data sets, play with the functions, have fun, and memorize these verbs. R takes the cake when it comes to quick slicing and dicing of data frames. Why? Dplyr.

Final Thoughts

Heavier Lifting with Mutate

In this lesson we’re going to up the ante and learn some more mutate tricks.

Heavier Lifting with Mutate

More Mutate

Let’s go over a few more examples before we start ramping up the complexity.

More Mutate

Introduction

We’re going to lay out the framework in this lesson. I’ll show you how to use the Virtual Machine, load the data, I’ll give you a quick bio and then we’ll be ready to get to work.

Introduction

Mutate with an If Else Statement

This is a great tool for creating user specified columns. Don’t miss this one.

Mutate with an If Else Statement

Final Thoughts

Final Thoughts

Mutate_All

This is a special function. When scraping data (after you take my rvest course) you can use mutate all to clean the data in quick fashion. Come in and I’ll show you.

Mutate_All

Mutating Rows as opposed to Columns

Yes we can mutate rowwise. In this lesson I will show you how. I will also give you a story about the day that you go to R as your tool of choice for analytics and how what we’re doing will help you make that transition easier.

Mutating Rows as opposed to Columns

Mutate Refresher

In this chapter we’re going to be spend time going over the dplyr verb Mutate. Remember this is the dplyr verb that allows us to create new variables. Come on in and we’ll get started.

Mutate Refresher

Watch Preview

Note: The actual session is completely hands-on where you interact with the software while watching the host's (Chris Shockley) instructions. You can preview the instructions here

Chris Shockley

About the Host


I am a 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 am single too. Maybe because I spend too much time playing? I have a dog named Coog (Lllasa Apso), who would rather be outside than inside, which means I have to take him on a lot of walks. 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. My hope is that I can help you, even if its with my enthusiasm. Yes you can learn R and 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.



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Frequently Asked Questions


In Rhyme, all sessions are completely hands-on. You don't just passively watch someone else use the software. You use the software directly. While following the host's (Chris Shockley) instructions. Using the software is the only way to understand a software!
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