Programming Using Rstudio introduction

Test your knowledge on programming concepts

1. Why do analysts use comments In R programming? Select all that apply.

2. What should you use to assign a value to a variable in R?

3. Which of the following examples is the proper syntax for calling a function in R?

4. Which of the following examples can you use in R for date/time data? Select all that apply.

Test your knowledge on coding in R

1. An analyst includes the following calculation in their R programming:

midyear_sales <- (quarter_1_sales + quarter_2_sales) – overhead_costs

Which variable will the total from this calculation be assigned to?

2. An analyst is checking the value of the variable x using a logical operator, so they run the following code:

 x > 35 & x < 65

Which values of x would return TRUE when the analyst runs the code? Select all that apply.

3. A data analyst inputs the following code in RStudio:

sales_1 <- 100 * sales_2

Which of the following types of operators does the analyst use in the code? Select all the apply.

test your knowledge on R packages

1. When using RStudio, what does the installed.packages() function do?

2. In data analytics, what is CRAN?

3. What are ggplot2, tidyr, dplyr, and forcats all a part of?

Test your knowledge on the tidyverse

1. When working in R, for which part of the data analysis process do analysts use the tidyr package?

2. Which tidyverse package contains a set of functions, such as select(), that help with data manipulation?

3. An analyst is organizing a dataset in RStudio using the following code:

arrange(filter(Storage_1, inventory >= 40), count)

Which of the following examples is a nested function in the code?

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Data Analysis with R Programming Weekly Challenge 2

1. Which of the following are examples of variable names that can be used in R? Select all that apply.

2. You want to create a vector with the values 12, 23, 51, in that exact order. After specifying the variable, what R code chunk allows you to create the vector?

3. An analyst comes across dates listed as strings in a dataset, for example December 10th, 2020. To convert the strings to a date/time data type, which function should the analyst use?

4. A data analyst inputs the following code in RStudio:

sales_1 <- (3500.00 * 12)

Which of the following types of operators does the analyst use in the code? Select all that apply.

5. Which of the following files in R have names that follow widely accepted naming convention rules? Select all that apply.

6. In R, what includes reusable functions and documentation about how to use the functions?

7. Packages installed in RStudio are called from CRAN. CRAN is an online archive with R packages and other R-related resources.

8. A data analyst is reviewing some code and finds the following code chunk:

What is this code chunk an example of?

9. Fill in the blank: When creating a variable for use in R, your variable name should begin with _____.

10. Which of the following statements about vectors in R are correct? Select all that apply.

11. An analyst runs code to convert string data into a date/time data type that results in the following: “2020-07-10”. Which of the following are examples of code that would lead to this return? Select all that apply.

12. A data analyst needs a system of packages that use a common design philosophy for data manipulation, exploration, and visualization. What set of packages fulfills their need?

13. A data analyst wants to take a data frame named people and filter the data where age is 10, arranged by height, and grouped by gender. Which code snippet would perform those operations in the specified order?

14. A data analyst wants to create functions, documentation, sample data sets, and code test that they can share and reuse in other projects. What should they create to help them accomplish this?

15. A data analyst is reviewing some code and finds the following code chunk:

mtcars %>%

filter(carb > 1) %>%

group_by(cyl) %>%

What is this code chunk an example of?

16.  Which of the following are examples of variable names that can be used in R? Select all that apply.

17. Which of the following are examples of variable names that can be used in R? Select all that apply.

18. If you use the mdy() function in R to convert the string “April 10, 2019”, what will return when you run your code?

19. A data analyst wants to combine values using mathematical operations. What type of operator would they use to do this?

20. A data analyst needs to find a package that offers a consistent set of functions that help them complete common data manipulation tasks like selecting and filtering. What tidyverse package provides this functionality?

21. A data analyst previously created a series of nested functions that carry out multiple operations on some data in R. The analyst wants to complete the same operations but make the code easier to understand for their stakeholders. Which of the following can the analyst use to accomplish this?

22. A data analyst is assigning a variable to a value in their company’s sales data set for 2020. Which variable name uses the correct syntax?

23.  A data analyst has a dataset that contains date strings like “January 10th, 2022.” What lubridate function can they use to convert these strings to dates?

Programming Using Rstudio INTRODUCTION