Pa652 Unit 1 Application And Integration #1

Assignment Information The purpose of these assignments is to get you actively engaged in the content, with hands-on experience working with data and data visualizations. These assignments will include utilizing R and R Studio to visualize data and run stats. It will also help prepare you for the lab experiences, so please consider reviewing and attempting this assignment prior to live class/lab. You are encouraged to work together on these assignments but you are required to submit work that represents your unique, individual work and contributions. Any work that is exactly the same as a peers is unacceptable and will result in a zero. The value in working with others is to hear alternative explanations or understanding. Moving through difficulties together. We are a team, work together but be sure you are turning in work that represents your own work and work product. 1. For this assignment, you should read the two sections in the Grolemund & Wichkam (2017) book, as follows: Grolemund, G., & Wickham, H. (2017). R for Data Science. O’Reilly Media. • Introduction and pre-requisites Links to an external site. • Whole game Links to an external site. 2. In addition to those short readings, you will also work through the examples found here: https://sydney-informatics-hub.github.io/lessonbmc/02-BMC_R_Day1_B/index.html Links to an external site. • The first readings will first walk you through how to install R and R Studio and begin using it, as well as provide logic for data analysis. • The second resource will introduce the various data types. These reflect the different kinds of data we might encounter. Though the names may be different, these do indeed parallel each other and are important to understand. 3. Once R and R Studio are installed, create a .R script that contains all the code that is presented in these sections. Comment your code appropriately. • Please watch the Code with me video below for additional support on this assignment. Transcript Download Transcript Assignment Guidelines For credit for this assignment, you will need to: • turn in a .R file that has the appropriate header • is commented appropriately throughout • runs without error. • Please include any questions that you might have in comments • Refer to the rubric below for further guidance.