11. Fill in the blank: A data storage file saved in a JavaScript format, also known as a _____ file, may contain nested objects.

  • JPG
  • spreadsheet
  • J-SON
  • CSV

12. What type of data is gathered from inside a company’s own organization?

  • Second-party
  • Fourth-party
  • Third-party
  • First-party

13. Which of the following statements correctly uses the head() function to return the first 25 rows of a dataset?

  • df.head(rows=25)
  • df.head(25)
  • df.head(25.df)
  • head=25

14. Which of the following statements will assign the name Kuwait Museums to a bar graph in Python?

  • plt.name(“Kuwait Museums”)
  • plt.title(“Kuwait Museums”)
  • plt.xlabel(“Kuwait Museums”)
  • plt.show(“Kuwait Museums”)

15. Fill in the blank: The Python function fig.show() is used to render a _____ of a plot.

  • dashboard
  • mirror image
  • graphic
  • template

16. Which structuring method selects a smaller part of a dataset based on specified parameters, then uses it for analysis?

  • Grouping
  • Organizing
  • Sorting
  • Filtering

17. Fill in the blank: A box plot is a data visualization that depicts the spread, skew, and _____ of groups of values within quartiles.

  • intensity
  • speed
  • locality
  • timing

18. What are some strategies data professionals use to understand the source of a dataset? Select all that apply.

  • Determine where the data originally came from.
  • Confirm the original data owner has no financial stake in the data’s output.
  • Reduce outliers by ensuring data comes from a small sample.
  • Request relevant information from the team members who supplied the data.

Shuffle Q/A 2

19. What are some of the benefits of J-SON files for data professionals? Select all that apply.

  • Small message size
  • Readability in almost any programming language
  • Easily distinguish between strings and numbers
  • Eliminate nested objects within the files

20. Which of the following statements correctly uses the head() function to return the first 10 rows of a dataset?

  • df.head(rows=10)
  • df.head(10)
  • df.head(10.df)
  • head=10

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