Data Visualization Concepts Quiz
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Questions and Answers

Which of the following is not a type of attribute?

  • Ordered
  • Linear (correct)
  • Categorical
  • Quantitative

    • Ordered attributes can include items such as shirt sizes.

    True

    What are the two main categories of dataset availability?

    Static and Dynamic

    The primary difference between categorical and ordered attributes is that __________ have an intrinsic order.

    <p>ordered attributes</p> Signup and view all the answers

    Match the following attribute types with their definitions:

    <p>Categorical = Don’t have any order at all Ordinal = Has an intrinsic order Quantitative = Has continuous space Cyclic = Values keep repeating themselves</p> Signup and view all the answers

    What is a primary disadvantage of using a color-coded display for key values in data visualization?

    <p>It is difficult to observe trends.</p> Signup and view all the answers

    A streamgraph can only display data at each timestamp for all keys involved.

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

    What type of data is required for creating a heatmap?

    <p>One quantitative attribute and two key attributes.</p> Signup and view all the answers

    A streamgraph emphasizes __________ continuity.

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

    Match the following data visualization types with their primary purpose:

    <p>Streamgraph = Find trends and part-to-whole relationships Heatmap = Find clusters, outliers, and patterns Bar chart = Compare precise values Pie chart = Represent parts of a whole</p> Signup and view all the answers

    What percentage of information about the environment is received through the eyes?

    <p>90%</p> Signup and view all the answers

    Data visualization focuses primarily on creating aesthetically pleasing graphics.

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

    What are the three main goals of visualization?

    <p>To explore, to analyze, and to present.</p> Signup and view all the answers

    The presence of pictures increases desire to read the text by +/- _____%

    <p>80</p> Signup and view all the answers

    Match the following phases of the Nested Model with their descriptions:

    <p>Data/task abstraction = Describes data in generic terms Visual encoding = Selects visual encodings and defines interactions Algorithm = Concerns layout, ordering, and rendering Domain situation = Focuses on understanding user needs and tasks</p> Signup and view all the answers

    Which of the following statements is true regarding memory retention?

    <p>We remember 10% of what we heard.</p> Signup and view all the answers

    Visualization leads to a misunderstanding of user needs.

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

    What does Information Visualization aim to achieve?

    <p>To amplify cognition through interactive visual representations of abstract data.</p> Signup and view all the answers

    What is a key advantage of using idioms in data visualization?

    <p>They are very scalable.</p> Signup and view all the answers

    The histogram is able to convey both frequency and distribution of data.

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

    What is the downside of using a boxplot?

    <p>It hides a lot of information by aggregating data into five statistical attributes.</p> Signup and view all the answers

    The width of a violin plot encodes the ______ of the attribute.

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

    Match the visualization type to its description:

    <p>Histogram = Shows frequency of a quantitative attribute using bins Boxplot = Displays maximum, minimum, and quartiles of data Violin Plot = Illustrates density of data along with summary statistics Scatter Plot = Visualizes relationship between two quantitative attributes</p> Signup and view all the answers

    Which derived values are explicitly shown in a boxplot?

    <p>Median, min, max, lower quartile, upper quartile</p> Signup and view all the answers

    Both histograms and boxplots help us understand distributions.

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

    What crucial aspect must be considered when creating a histogram?

    <p>Bin size</p> Signup and view all the answers

    Which scatterplot matrix (SPLOM) characteristic helps to understand relationships between pairs of axes?

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

    Parallel coordinate plots (PCPs) can scale to show thousands of attributes.

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

    What does filtering in data reduction aim to achieve?

    <p>Eliminate elements based on their values or eliminate attributes.</p> Signup and view all the answers

    To check for a positive correlation in a SPLOM, the diagonal runs from _____ to _____.

    <p>low, high</p> Signup and view all the answers

    Match the following plots with their characteristics:

    <p>SPLOM = Relationships between pairs of axes PCP = Relationships between adjacent axes Scatterplot = Data with two quantitative attributes Radar Plot = Comparing multiple attributes easily</p> Signup and view all the answers

    What is a major disadvantage of using animation in network visualization?

    <p>It can lead to change blindness.</p> Signup and view all the answers

    Which of the following is true about radar plots?

    <p>Each variable is represented as a polygon.</p> Signup and view all the answers

    The axis ordering in parallel coordinate plots is unimportant.

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

    Integrated approaches provide separate visualizations for each time interval.

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

    What are common synonyms for a time-varying network?

    <p>Time-stamped network, longitudinal network, evolving network, temporal network</p> Signup and view all the answers

    What is the primary use of icons or glyphs in data visualization?

    <p>To map multidimensional data to properties of graphics objects.</p> Signup and view all the answers

    The technique that splits time into intervals for visualization is known as __________.

    <p>small multiples</p> Signup and view all the answers

    In a PCP, segments that intersect at a halfway point indicate a _____ correlation.

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

    How many dimensions can SPLOMs generally render effectively?

    <p>20 dimensions</p> Signup and view all the answers

    Match the following visualization methods with their pros and cons:

    <p>Animation = Easy to spot big changes Small multiples = Difficult to spot patterns Integrated approaches = Often difficult for non-experts to interpret Aggregated results = Loss of context and exploration potential</p> Signup and view all the answers

    Which of the following is NOT a pro of using small multiples?

    <p>Easy to implement</p> Signup and view all the answers

    Aggregating time in a visualization allows for detailed individual node and edge visibility.

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

    What automated methods can be used in integrated approaches for network visualization?

    <p>Clustering nodes and showing changes of clusters over time.</p> Signup and view all the answers

    Study Notes

    Visualization Lecture Notes

    • Visualization is used for data exploration, making the unseen visible, based on human visual perception.
    • Eyes act as a high-bandwidth channel to the brain, leading to intuitive graphical illustrations.
    • Data visualization is not just making pretty pictures, but making useful ones.
    • Visualization aims to explore data, verify or falsify hypotheses, and communicate results.

    Visualization Pipeline

    • Data is processed through a pipeline including: transformation, mapping, projection, and human computer interaction.
    • This pipeline involves filtering data, determining how to display it, and how viewers interact with the visualization.

    Goals of Visualization

    • Explore data when little is known.
    • Analyze data to verify or falsify hypotheses.
    • Present results and data for clear communication.

    Nested Model

    • To perform interviews to understand the user, data, and task.
    • Data and tasks may be described in generic terms.
    • Generic tasks for visualization include search, comparison, trend identification.
    • Visual encoding, design space and interaction are important aspects for visualization design.

    Visual Encoding Design

    • Shows data abstraction (types: items, attributes, links, positions, grids, continuous, spatial).
    • Data sets include tables, networks, geometry, and fields.

    Attribute Types

    • Categorical (no inherent order → fruits, colors, shapes).
    • Ordered (intrinsic order →age, temperature).
    • Ordinal (discontinuous space → shirt sizes, grades).
    • Quantitative (continuous space → height, weight).

    Data Availability

    • Static data (doesn't change much).
    • Dynamic data (changes frequently).

    Data Types

    • Quantitative data measures a physical dimension (e.g., temperature, weight).
    • Ordinal data categorizes variables with implied order (e.g., small, medium, large).
    • Nominal data describes categories with no order (e.g., player type, sport).

    Data Visualization Principles

    • Data is effectively represented via chosen marks, and channels showing attributes in data.
    • Visual encoding principle maps the data to the visualization parameters that effectively communicate the intended interpretation.

    Visual Channels

    • Position (horizontal, vertical, or both).
    • Color.
    • Tilt (angle).
    • Size.
    • Shape.
    • Motion.

    Visual Channel Rankings

    • Visual channels are ranked by accuracy, with position and color highest.

    Visual Perception

    • Human perception is not always linear (e.g., saturation overestimation).
    • Perceptual systems operate with relative judgements.

    Gestalt Principles (Module 3)

    • Proximity: elements near each other are grouped.
    • Similarity: elements that look alike are grouped.
    • Common Region: elements within a region are grouped.
    • Good Figure(simplicity): elements tend to be perceived as a single figure.
    • Closure: incomplete visual elements are perceived as complete.
    • Continuity: elements in a continuous pattern are perceived together.
    • Figure-ground: different portions of shapes are highlighted based on visual context.

    Tufte Principles (Module 3)

    • Maximize data ink ratio.
    • Avoid chartjunk.

    Types of Data Visualizations (Module 4)

    • Bar chart: good if categorical key and 1 numerical value.
    • Stacked bar chart: visualizes multiple keys and one value.
    • Line chart: suitable for showing trends.
    • Pie chart: displays portions of a categorical value.

    Visualizations for Multi-attribute Data

    • Scatterplot: shows bivariate relationships.
    • Parallel coordinate plots: good for multiple key attributes.
    • SPLOM: displays pairwise relationships for multiple attributes in matrix view.
    • Radar plot: good for comparing multiple attributes in circular representations.
    • Cartograms show spatial data using proportionally distorted shapes (sizes).

    Data Reduction (Module 5)

    • Reduce the number of attributes to simplify visualizations, but often at the cost of accuracy.

    Maps (Module 6)

    • Maps are excellent for understanding space and relationships.
    • Key considerations involve relevant spatial data versus visualization.
    • Using a variety of maps or methods for visualization is important to avoid misinterpretations.

    Visualisation of Dynamic Processes (Module 7)

    • Animation: easy implementation, but may lead to visual overload in large datasets.
    • Small multiples: displaying different time slices on the same page to compare.
    • Integrated approach: Combining the first two to show the overview of the network over a specific timeframe.
    • Gantt charts: useful for visualizing project timelines.

    Visualization Validation

    • Validate encoding, task abstraction.
    • Measure usability and user experience using studies, interviews.

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    Related Documents

    Visualization Lecture Notes PDF

    Description

    Test your knowledge on the fundamental concepts of data visualization. This quiz covers attribute types, dataset availability, and the purposes of various visualization techniques. Ideal for students and professionals looking to enhance their understanding of how data can be represented visually.

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