4.9 / 5
We will cover the following tasks in 36 minutes:
In this task there will be an explanation of the Project. There will also be a quick discussion of the Rhyme Interface at the same time the virtual machine will be set up. The Instructor will provide a short bio as well.
Filter is a dplyr verb that allows the R user to filter rows by a user specified definition. In this Task the Instructor will go over how to use it and then provide couple examples to practice.
The Pipe is from the magittr package and is used to create a fluidity among the dplyr verbs. Instead of doing a separate Filter and Select statement the student can run the two verbs together. In this Task we will cover how this is done through examples.
Group By and Summarise
Group By allows the user the ability to group by certain factors within a variable. Group_By in conjunction with Summarise allow the student the ability to do analytics that would have been difficult prior in excel or SQL.
Mutate and Arrange
Mutate allows the user to create new data columns or variables. The student can create their own functions to pass through (circumventing a for loop) or use one that is pre built in, which can be seen on the dplyr cheet sheet on Rstudio’s website. Arrange allows the student to organize the data (numerically or alphebetically) based on a single or multiple columns.
It is fine but I'm glad I have an ultrawide display so I can have both screens a reasonable size. The video by default is too small. I do also find the examples a bit complicated for a beginner.
This will need a committed learner to finish it in one sitting. It would be great if they was a way to resume the course where left. I understand this needs storage of the session, however giving a day to complete even after leaving the session would be a great value add
a comment or a question section would be very helpful. I was not able to reach the data set (mpg), and I got an error message in stead
I used to run Coursera classes splitting my screen in 2, one for the console, one for the video. This is in line. But, one has to rapidly test the same on his / her local machine to gain confidence it can be done
Allow a little time in the cloud session beyond the total length of the lecture to facilitate some pausing (slow typing).
Thank you :)
A nice overview and the interface made it easy to practice while listening.
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)., I work as a Data Analyst/Financial Analyst for a Metals Co. located in Seattle, WA. I have been in my current position for 5 years. I work in SQL, R, R Shiny, QGIS. Because I have traveled the roads you are on I believe I will be an asset and will add value to your programming repertoire. We will walk through multiple examples and get to know each other through the process. Don't take my word for it though. Come on in and take a Project or two. Regards, Chris Shockley