data analysis with r programming weekly challenge 1
1. A data analyst uses words and symbols to give instructions to a computer. What are the words and symbols known as?
- Coded language
- Function language
- Programming languages
- Syntax languages
2. Many data analysts prefer to use a programming language for which of the following reasons? Select all that apply.
- To save time
- To clarify the steps of an analysis
- To easily reproduce and share an analysis
- To choose a topic for analysis
3. Fill in the blank: _____ code is freely available and may be modified and shared by the people who use it.
- Open-ended
- Open-source
- Open-access
- Open-syntax
4. Which of the following are benefits of using R for data analysis? Select all that apply.
- Create high-quality data visualizations
- Define a problem and ask the right questions
- Process lots of data
- Reproduce and share an analysis
5. Fill in the blank: A data analyst wants to quickly create visualizations and then share them with a teammate. They can use _____ for the analysis.
- the R programming language
- a dashboard
- structured query language
- a database
6. RStudio’s integrated development environment includes which of the following? Select all that apply.
- A console for executing commands
- An area to manage loaded data
- A viewer for playing videos
- An editor for writing code
7. Fill in the blank: When you execute code in the source editor, the code automatically also appears in the _____.
- R console
- plots tab
- environment pane
- files tab
8. 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?
- Source editor pane
- Environment pane
- R console pane
- Plots tab
9. Fill in the blank: _____ are the words and symbols you use to write instructions for computers.
- Code languages
- Programming languages
- Syntax languages
- Variable languages
10. A data analyst wants to use a programming language that they can modify. What type of programming language should they use?
- Console-based
- Data-centric
- Community-oriented
- Open-source
11. A data analyst needs to quickly create a series of scatterplots to visualize a very large dataset. What should they use for the analysis?
- A dashboard
- The R programming language
- A slide presentation
- Structured query language
12. What type of software is RStudio?
- Integrated development environment
- Programming language
- Syntax
- Pane
13. A data analyst wants to write R code where they can access it again after they close their current session in RStudio. Where should they write their code?
- R console
- Files tab
- History tab
- Source editor
14. What are the benefits of using a programming language for data analysis? Select all that apply.
- They store steps of your analysis for future use.
- They have no specific syntax.
- They save time cleaning data.
- It does not require data cleaning
15. Which of the following statements about the R programming language are correct? Select all that apply.
- It can create world-class visualizations
- It makes analysts spend more time cleaning data and less time analyzing
- It can process large amounts of data
- It relies on spreadsheet interfaces to clean and manipulate data
16. A data analyst is searching for a tool that gives them the most power to customize the visualizations they use in their analysis. What tool should they use?
- The R Programming language
- Tableau
- Spreadsheets
- SQL
17. Which of the following statements about RStudio’s integrated development environment are correct? Select all that apply.
- R studio is unable to produce visualizations.
- R studio is built specifically for working with R.
- The layout of panes in R studio is fixed.
- R studio helps with file management.
18. R users share custom solutions they have developed for data problems. Where can you find this information in RStudio?
- Packages tab
- History tab
- Environment tab
- R console
19. What tool gives data analysts the highest level of control over their data analysis?
- Spreadsheet
- SQL
- Tableau
- Programming language
20. Using a programming language can help you with which aspects of data analysis? Select all that apply.
- Visualize your data
- Ask the right questions about your data
- Transform your data
- Clean your data
21. What is the term for programming code that is freely available and may be modified and shared by the people who use it?
- Open-source
- Open-ended
- Data-centric
- Open-data
22. For what reasons do many data analysts choose to use R? Select all that apply.
- R can quickly process lots of data.
- R is a data-centric programming language.
- R can create high quality visualizations.
- R is a closed source programming language.
23. What is a benefit of using the R programming language for data analysis? Select all that apply.
- It is the most popular machine-learning language.
- It is a general-purpose programming language.
- It can create world-class visualizations.
- It can work with large amounts of data
24. RStudio’s integrated development environment lets you perform which of the following actions? Select all that apply.
- Install R packages
- Import data from spreadsheets
- Create data visualizations
- Stream online videos
25. Fill in the blank: In RStudio, the _____ is where you can find all the data you currently have loaded, organize it, and save it.
- source editor pane
- environment pane
- R console pane
- plots pane
26. Which of the following are benefits of open-source code? Select all that apply.
- Anyone can pay a fee for access to the code.
- Anyone can use the code for free.
- Anyone can fix bugs in the code.
- Anyone can create an add-on package for the code.
27. A data analyst is searching for an open-source tool that will allow them to work with very large amounts of data. What tool is the best option?
- Spreadsheet
- JSON
- R
- Tableau
28. In RStudio, where can you find and manage all the data you currently have loaded?
- R console pane
- Plots tab
- Source editor pane
- Environment pane
29. What are the benefits of using a programming language for data analysis? Select all that apply.
- Clarify the steps of the analysis
- Easily reproduce and share the analysis
- Automatically choose a topic for analysis
- Efficiently save time
30. What attribute of the R programming language makes it an open-source programming language?
- The code is designed to be data-centric.
- The code is open to processing large amounts of data.
- The code is distributed by a company named “Open-Source.”
- The code can be modified and shared by anyone who uses it.
31. In which two parts of RStudio can you execute code? Select all that apply.
- The environment pane
- The source editor pane
- The R console pane
- The plots pane
32. How do data analysts refer to the words and symbols they use to write instructions for computers?
- Programming languages
- Syntax languages
- Code languages
- Variable languages
33. A data analyst wants to write R code in RStudio that will go away after they close their current session. Where should they write their code?
- Environment tab
- Source editor
- Plots tab
- R console
34. What are the benefits of using a programming language for data analysis? Select all that apply.
- It does not require data cleaning
- It is faster to clean data.
- It is easy to share code.
- It does not require specific syntax.
35. In RStudio, where can you find a list of all of the R commands you have run in your current sessions?
- Help tab
- Files tab
- Source editor
- History tab
36. What is a type of application that brings together all the tools a data analyst may want to use in a single place?
- Spreadsheet
- Integrated development environment
- Database
- Dashboard
