wek 6.1 IRM
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Questions and Answers

Which type of data visualization displays the median, the interquartile range, and the range of the data for one factor/variable?

  • Box plot (correct)
  • Density plot
  • Violin plot
  • Histogram

    • What is the main difference between a density plot and a histogram?

  • Density plots show the distribution of multiple variables
  • Density plots are smoother than histograms (correct)
  • Histograms display the median and interquartile range
  • Histograms are used for continuous data

    • Which type of data visualization displays the density of data for one variable/factor, similar to a box plot?

  • Histogram
  • Density plot
  • Violin plot (correct)
  • Box plot

    • Which data visualization principle suggests that we should not only show summary statistics, but also show the distribution of the data?

    <p>Principle of variance</p> Signup and view all the answers

    What is one reason why visualizing data is important according to the text?

    <p>To communicate and tell a story</p> Signup and view all the answers

    True or false: A histogram represents the distribution of two factors/variables.

    <p>False</p> Signup and view all the answers

    True or false: A density plot is a type of smoothed scatter plot.

    <p>False</p> Signup and view all the answers

    True or false: A violin plot can detect outliers in the data.

    <p>True</p> Signup and view all the answers

    True or false: Florence Nightingale invented the 'polar' or 'arctic' plot to visualize data on cause of death during the Crimean war.

    <p>True</p> Signup and view all the answers

    True or false: Aesthetics, such as the choice of colors, have no impact on data visualization.

    <p>False</p> Signup and view all the answers

    Match the following data visualisation types to their descriptions:

    <p>Histogram = Represents distribution of one factor/variable Density Plot = A 'smoothed' histogram Box Plot = Displays the median, the interquartile range, and the range of the data from one factor/variable Violin Plot = Similar to a box plot but also displays the density of data for one variable/factor</p> Signup and view all the answers

    Match the following data visualisation types to what they can display or represent:

    <p>Histogram = Distribution of a single variable Density Plot = Smoothed view of data distribution Box Plot = Median, interquartile range, and range of a single variable Violin Plot = Density and distribution of data for a single variable</p> Signup and view all the answers

    Match the following data visualisation types to the aspects they can detect or show:

    <p>Histogram = Distribution Density Plot = Smoothed distribution Box Plot = Outliers Violin Plot = Density of data</p> Signup and view all the answers

    Match the following individuals with their contributions to data visualization:

    <p>Florence Nightingale = Invented the 'polar' or 'artic' plot and linked deaths to poor sanitisation Dr John Snow = Mapped cholera outbreaks from nineteenth century London, linking the disease to a contaminated water pump Professor Hannah Keage = Delivered a lecture on data visualisation, covering its principles and common methods</p> Signup and view all the answers

    Match the following principles of data visualization with their descriptions:

    <p>Guided by scientific questions = The visualization should aim to answer specific research questions, not just present data randomly Aesthetics = Attention should be given to colours, taking into account factors like colour blindness Show the distribution = Rather than just showing summary statistics like the mean, the distribution of data should be displayed</p> Signup and view all the answers

    Match the following reasons for visualising data with their explanations:

    <p>Discover patterns = Visualization allows us to identify trends and regularities in the data Thinking deeply about the data = Visualization encourages a more profound understanding of the data See differences between groups and individuals = Visualization can highlight disparities and similarities within and between data subsets Communication = Visualization serves as a medium for telling a story and presenting findings to others</p> Signup and view all the answers

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