The post is about R Programming MCQs Quiz with Answers. The quiz covers, MCQs about Rstudio, Data Analysis in R, and Some Basics of R Programming Languages. Let us start with the R Programming MCQs Quiz.
Online Multiple Choice Questions about R Programming Language
Online R Programming MCQs Quiz
- Programming involves ___________ a computer to perform an action or set of actions.
- What are the benefits of using a programming language to work with your data?
- The R programming language can be used for which of the following tasks?
- What type of software application is RStudio?
- RStudio includes which of the following panes?
- If you write code directly in the R source editor, RStudio can save your code when you close your current session.
- What tool gives data analysts the highest level of control over their data analysis?
- A data analyst is searching for a tool that will allow them to communicate instructions that a computer can run. What tool should they use?
- What are the benefits of using a programming language for data analysis?
- Many data analysts prefer to use a programming language for which of the following reasons?
- A data analyst wants to use a programming language that they can modify. What type of programming language should they use?
- A data analyst is searching for an open-source tool that will allow them to reproduce every step of their analysis, including data cleaning and transformations, calculations, and visualizations. What tool is the best option?
- When using RStudio, what is the installed.packages()function do?
- In data analytics, what is CRAN?
- Why do analysts use comments In R programming?
- An analyst includes the following calculation in their R programming: midyear_sales <- (quarter_1_sales + quarter_2_sales) – overhead_costsWhich variable will the total from this calculation be assigned to?
- Which of the following are the benefits of open-source code?
- A data analyst needs to quickly create a series of scatterplots to visualize a large dataset. What should they use for the analysis?
- A data analyst wants to write R code that they can access again after they close their current session in RStudio. Where should they write their code?
- A data analyst is working with spreadsheet data. The analyst imports the data from the spreadsheet into RStudio. Where in RStudio can the analyst find the imported data?