why do analysts use comments in r programming select all that apply ?

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https://github.com › m3redithw › Google-Data-Analytics › blob › main › course-7-Data-Analysis-with-R-Programming › week_2_practice_quiz

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Google-Data-Analytics/week_2_practice_quiz at main – GitHub
Why do analysts use comments In R programming? Select all that apply. # To make an R Script more readable # To explain their code: Question 2: What should you use to assign a value to a variable in R? # An operator // You should use an operator to assign a value to a variable in R. You should use operators such as <- after a variable to assign a value to it.

https://r-lang.com › comment-in-r

https://r-lang.com › comment-in-r
Comment in R: How to Use Comments in R Programming – R-Lang
Comments can be used to explain the code, and to make it more readable. The comments can also be used to prevent execution when testing alternative code. Comment in R Comments in R are generic English sentences used for code readability, prevent code execution, including resources, or explanation of the code or Metadata of the project.

https://www.geeksforgeeks.org › comments-in-r

https://www.geeksforgeeks.org › comments-in-r
Comments in R – GeeksforGeeks
Comments in R. As stated in the Note provided above, currently R doesn’t have support for Multi-line comments and documentation comments. R provides its users with single-lined comments in order to add information about the code. Single-Line Comments in R. Single-line comments are comments that require only one line. They are usually drafted to explain what a single line of code does or what it is supposed to produce so that it can help someone referring to the source code.

https://github-wiki-see.page › m › sj50179 › Google-Data-Analytics-Professional-Certificate › wiki › 7.2.1.Explore-coding-in-R

https://github-wiki-see.page › m › sj50179 › Google-Data-Analytics-Professional-Certificate › wiki › 7.2.1.Explore-coding-in-R
7.2.1.Explore coding in R – sj50179/Google-Data-Analytics-Professional …
Why do analysts use comments In R programming? Select all that apply. To provide names for variables; To make an R Script more readable; To explain their code; To act as functions; Correct. In R programming, comments are used to explain your code and to make an R Script more readable. Question 2. What should you use to assign a value to a variable in R? A vector

https://www.coursehero.com › file › 170906712 › practice-quiz-programming-conceptsmd

https://www.coursehero.com › file › 170906712 › practice-quiz-programming-conceptsmd
practice-quiz-programming-concepts.md – # L2 Programming…
## L2 Programming concepts ### Question 1 Why do analysts use comments In R programming? Select all that apply. * **To make an R Script more readable** * **To explain their code** * To act as functions* To provide names for variables > In R programming, comments are used to explain your code and to make an R Script more readable. ### Question 2

https://supervisorbullying.com › google-data-analytics-professional-certificate-data-analysis-with-r

https://supervisorbullying.com › google-data-analytics-professional-certificate-data-analysis-with-r
Data Analysis with R -Google Data Analytics Course 7 answers
Why do analysts use comments In R programming? Select all that apply. To make an R Script more readable; To explain their code; To act as functions; To provide names for variables; In R programming, comments are used to explain your code and to make an R Script more readable. Question 2. What should you use to assign a value to a variable in R? A vector

https://www.quizerry.com › 2021 › 09 › for-what-reasons-do-many-data-analysts-choose-to-use-r-select-all-that-apply

https://www.quizerry.com › 2021 › 09 › for-what-reasons-do-many-data-analysts-choose-to-use-r-select-all-that-apply
For what reasons do many data analysts choose to use R? Select all that …
Many data analysts choose to use R because it can quickly process lots of data and create high quality visualization. R is also a data-centric programming language, designed to work with data. A data analyst finishes analyzing data for a marketing project. The results are clear, so they present findings and recommendations to the client.

https://github-wiki-see.page › m › brendensong › Google-Data-Analytics-Professional-Certificate › wiki › 7.1.2.Weekly-challenge-1

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7.1.2.Weekly challenge 1 – brendensong/Google-Data-Analytics …
A data analyst needs to quickly create a series of scatterplots to visualize a very large dataset. What should they use for the analysis? R programming language; A slide presentation; A dashboard; Structured query language; Correct. The analyst should use the R programming language to quickly create a series of scatterplots to visualize a very large dataset. R can quickly process lots of data and create high quality visualizations.

https://quizlet.com › 678808516 › 7-data-analysis-with-r-programming-flash-cards

https://quizlet.com › 678808516 › 7-data-analysis-with-r-programming-flash-cards
7. Data Analysis with R Programming Flashcards | Quizlet
1. instructing 2. updating 3. training 4. filtering 1. instructing What are the benefits of using a programming language to work with your data? Select all that apply. 1. Easily reproduce and share your work 2. Choose a business task for analysis 3. Save time 4. Clarify the steps of your analysis 1. Easily reproduce and share your work 3. Save time

https://quizlet.com › 714271193 › week-1-quiz-flash-cards

https://quizlet.com › 714271193 › week-1-quiz-flash-cards
week 1 quiz Flashcards | Quizlet
Study with Quizlet and memorize flashcards containing terms like A data analyst uses words and symbols to give instructions to a computer. What are the words and symbols known as?, Many data analysts prefer to use a programming language for which of the following reasons? Select all that apply., What is the term for programming code that is freely available and may be modified and shared by the people who use it? and more.

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