Data visualisation: charts and modelling

9.Arrange the steps in the data visualization process from first to last.

10.Which of the following are examples of information visualization? (Select all that apply)

11.What is the term for a visualization designed to convey a concise version of information to the public in an engaging manner?

12.Data visualization is only concerned with quantitative data.

13.Which of the following is a characteristic of effective data visualization?

14.Which of the following are potential uses of data visualization by data scientists? (Select all that apply)

15.A dataset shows the number of books read by students in a class over a year. Which chart type would be most appropriate to show the trend of books read over the months?

16.A bar chart shows the favourite fruits of 100 students: apples 30, bananas 25, oranges 20, grapes 15, and others 10. If the bar for apples is drawn with a height of 6 cm, what should be the height of the bar for oranges?

17.A line graph is suitable for showing the proportion of parts to a whole.

18.Which of the following are potential problems that can make a data visualization misleading? (Select all that apply)

19.Match each data set to the most appropriate chart type.

20.A bar chart shows the number of books read by students in different months. The bar for January is 5 cm tall and represents 25 books. The bar for February is 3.5 cm tall. How many books were read in February?

21.Arrange the steps for creating an effective data visualization in the correct order.

22.A student creates a bar chart to show the number of hours of sunshine each month. The y-axis starts at 10 hours instead of 0. What is the most likely effect on the reader?

23.Which of the following are appropriate uses of a scatter graph? (Select all that apply)

24.A line graph is always the best choice for showing the proportion of parts to a whole.

25.What is the most likely effect of starting the y-axis at 10?

26.A data scientist uses a visualization to explore a large dataset and identify unusual gaps and missing values. Which type of visualization is most likely being used?

27.In data visualization, visual appeal is more important than accuracy of the data.

28.What is the primary focus of data visualization?

29.Which of the following is an example of a visual format used in data visualization?

30.Data visualization is only concerned with presenting quantitative data.

31.What is the term for a visualization that uses visual elements to tell a story with data?

32.Which of the following are listed as visual tools used in information visualization? (Select all that apply)

33.Effective data visualization should be simple and uncluttered.

34.Information visualization deals only with quantitative data.

35.Which of the following is NOT a characteristic of effective data visualization?

36.Data visualization is an interdisciplinary field that combines design, statistics, and computing skills.

37.Match each type of data visualization to its primary use.

38.Put the steps for creating an effective data visualization in the correct order.

39.Which of the following are examples of misleading visualization techniques? (Select all that apply)

40.Match each visualization type to its main purpose.

41.What term is used for a visualization that conveys a concise version of information to the public in an engaging manner?

42.Fill in the blank: A visualization that combines data analysis, storytelling, and visualization to present information through a structured narrative flow is called ___ visualization.

43.What term describes the practice of using visual elements to tell a story with data?

44.Fill in the blank: Unintentionally poor or intentionally misleading visualizations can function as powerful tools which spread ___.

45.What is the term for the practice of using visual elements to tell a story with data?

46.Complete the sentence:

47.Name the three main types of visualization mentioned in the source.

48.In a dataset of 50 students, a pie chart shows that 30% prefer blue. How many students prefer blue?

49.A pie chart shows the distribution of 200 people by favourite sport: football 40%, basketball 25%, tennis 20%, swimming 15%. How many people chose basketball?

50.Complete the sentence about misleading graphs.

51.A line graph shows the temperature in a city over a week. The y-axis starts at 15°C instead of 0°C. Explain why this could be misleading.

52.A scatter graph shows the relationship between hours studied and test scores. The line of best fit has equation y = 5x + 40, where y is the test score and x is hours studied. Predict the test score for a student who studies 6 hours.

53.Explain why it is important to choose the right chart type for your data.

54.Explain why it is important to consider the target audience when creating a data visualization.

55.A company claims that sales doubled from 2020 to 2021. The graph they show uses a y-axis starting at 100, not zero. Explain why this graph might be misleading and what the company should do to present the data honestly.

56.Explain why a line graph with a y-axis starting at 15°C instead of 0°C could be misleading when showing temperature changes over a week.

57.Explain why starting a bar chart's y-axis at a value greater than zero can be misleading, and describe a situation where it might be acceptable.

58.In a dataset of 50 students, a pie chart shows that 30% prefer blue. How many students prefer blue?

59.A pie chart shows the distribution of 200 people by favourite sport: football 40%, basketball 25%, tennis 20%, swimming 15%. How many people chose basketball?

60.A scatter graph shows the relationship between hours studied and test scores. The line of best fit has equation y = 5x + 40, where y is the test score and x is hours studied. Predict the test score for a student who studies 6 hours.