COURSERA : Introduction to R Programming for Data Science by IBM

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1. Introduction to R Programming for Data Science
2. Week 1
3. Practice Quiz

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• • Video: VideoIntroduction to R Language

    . Duration: 2 minutes2 min
  • Video: VideoBasic Data Types

    . Duration: 5 minutes5 min
  • Video: VideoMath, Variables, and Strings

    . Duration: 4 minutes4 min
  • Video: VideoR Environment

    . Duration: 4 minutes4 min
  • Video: VideoIntroduction to RStudio

    . Duration: 3 minutes3 min
  • Ungraded App Item: Ungraded App ItemHello World with R using RStudio

    . Duration: 15 minutes15 min
  • Video: VideoWriting and Running R in Jupyter Notebooks

    . Duration: 4 minutes4 min
  • Ungraded App Item: Ungraded App ItemBasic Math with R using Jupyter Notebook

    . Duration: 15 minutes15 min
  • Reading: ReadingSummary & Highlights

    . Duration: 5 minutes5 min
  • Practice Quiz: Practice Quiz

    6 questions
  • Quiz: Graded Quiz

    6 questions

Practice Quiz

Practice Quiz12 minutes • 12 min

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Practice Quiz Week 1

Practice Quiz. • 12 min. • 6 total points available.6 total point

1.

Question 1

Which of the following are examples of predictive analysis? Select two answers.

1 / 1 point

Returning a summary of descriptive statistics for data.

Pandemic trends prediction.

Correct

This is an example of predictive analysis.

Understanding human languages.

Correct

This is an example of predictive analysis.

Dashboards.

2.

Question 2

Which of the following statements about numeric and integer values are true? Select three values.

0.75 / 1 point

The converted value of a numeric to an integer is always equal to the original numeric value.

An integer can be converted to a numeric value.

Correct

An integer can always be converted to a numeric value.

The converted value of an integer to a numeric is always equal to the original integer value.

A numeric value can be converted to an integer.

Correct

A numeric to integer conversions is allowed but note that precision is reduced.

You didn’t select all the correct answers

3.

Question 3

What is the result of the R expression 4 + 3 * 25?

1 / 1 point

79

103

175

74

Correct

This answer correctly interprets the order of operations for expressions in R.

4.

Question 4

Which R function saves a workspace to a .RData file?

1 / 1 point

save.image()

save.workspace()

save.file()

save.data()

Correct

The save.image() function saves a workspace to a .RData file.

5.

Question 5

In RStudio, which of the following statements about writing code in the File Editor and the Console are true? Select two answers.

1 / 1 point

You write code in the Console when you want to try out R commands or to run a few lines of code.

Correct

Use the Console for trying out R commands and seeing the results immediately. Use the File Editor for writing/editing script files and then executing them in batch mode to see the results.

Code in the File Editor executes immediately as you type it so you can see the results quickly.

Only files containing R code can be edited in the File Editor

You write code, usually for multiple lines of code, in the File Editor and execute them in batch mode.

Correct

Use the Console for trying out R commands and seeing the results immediately. Use the File Editor for writing/editing script files and then executing them in batch mode to see the results.

6.

Question 6

Complete the statement: A Jupyter Notebook is made up of a series of _______________ that you can use to write, run, and interact with your code.

1 / 1 point

Files

Workspaces

Objects

Cells

Correct

A cell in a Jupyter Notebook is a multiline text input field where you can enter many types of text.