Moodle Exam Review Quiz

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Questions and Answers

A Chernoff Face glyph

Is only good for visualising very low dimensional data sets

Is made up of graphical elements that can interfere with each other, in representing independent dimensions (correct)

Should only be used to represent information about a person

The Gestalt laws

Are ranked in order (top three): proximity, similarity, connectedness (correct)

Only relate to static images

Relate to bottom-up and top-down visual processing (correct)

An example of 'focus and context' system in a visualisation is

A fisheye distortion of a map (correct)

A timeline view of data, plotting all occurrences of an event against a time axis (correct)

A zoomed-in view of a scatterplot, where a subset of the data takes up the full screen (correct)

Colour

Is defined by hue, value, saturation, and brightness Signup and view all the answers

In relation to data encoding, which statement is correct?

The expressivity of a channel is dependent on its effectiveness Signup and view all the answers

In the context of data collection, which statement is true?

Preference data is related to perception data because they are both qualitative Signup and view all the answers

How many scatterplots are in a SPLOM, used to present 9-dimensional data?

81 Signup and view all the answers

Which statement about large graphs is correct?

They can be explored using interactive graph visualization techniques Signup and view all the answers

What does a single-axis composition generally mean?

Aligning several separate visualizations, based on one dimension that they all share Signup and view all the answers

Which representation would be most effective for certain wildlife park data?

A scatterplot, with X1 and X2 used for the orthogonal x-y axes, and 6 hues used for the values of X3 Signup and view all the answers

In the context of data collection, which statement is false?

A diagram created by a participant is qualitative and objective data Signup and view all the answers

Roughly how long will each iteration of the spring model take if using 10,000 objects instead of 5,000?

16 times longer than before Signup and view all the answers

Stevens’ power law describes?

How perceived sensation varies as physical intensity changes, for a given medium Signup and view all the answers

With respect to the things a viewer might find interesting in a visualization, which statement is true?

A viewer is usually interested in particular 'targets' Signup and view all the answers

Successful methods of drawing graphs typically?

Typically try to conform to a subset of well-known aesthetic principles Signup and view all the answers

When creating a declarative query using a map to select a rectangular area of data, what will happen in a linked bar chart?

The selected items could be in any combination of bars Signup and view all the answers

What does the Visualization Pipeline highlight?

The importance of transforming data Signup and view all the answers

If you consider an additional data set option in your design, how much bigger will the design space be?

5 times bigger Signup and view all the answers

In semiotic terms, is a grey cloud on a weather map a?

Icon Signup and view all the answers

An example of 'query relaxation' in general selection is?

Highlighting all objects that belong to the same category as a selected object Signup and view all the answers

When depicting bivariate data, what is a good representation choice?

A bar chart could be a good depiction if the zero bar height matches the minimum quantitative value Signup and view all the answers

Which description applies to data sets A and B according to Munzner’s classification?

Two multidimensional tables Signup and view all the answers

Which algorithm would not be a good choice for analyzing complex data with fine-grained local detail and high-level clusters?

Spring model Signup and view all the answers

Data collected by questionnaire is easy to collect, but not always valuable?

True Signup and view all the answers

Is data collected by observation always subjective?

False Signup and view all the answers

Which database attributes are most appropriate for managing qualitative data from interviews?

ParticipantID, InterviewText, ProofOfWorthMeasure, InterviewNumber Signup and view all the answers

Summative evaluation focuses on which of the following?

Focuses on the extent to which specified criteria are satisfied Signup and view all the answers

In justifying design, parallel coordinates visualizations are useful because?

They are useful in describing design space Signup and view all the answers

Using SQL to define queries over a large database allows the user to?

See data objects that match the query with varying levels of accuracy Signup and view all the answers

Bertin's visual variables can be characterized as?

Either unordered or quantitative Signup and view all the answers

Study Notes

Quiz Overview

Duration: 90 minutes time limit
Format: 30 multiple choice questions, each with three options
Scoring: Each question worth up to 2 marks; -1 penalty for incorrect answers
Total score scaled to 70% of overall mark for the course

Data Collection and Analysis

Performance data is often quantitative; preference and perception data are generally qualitative.
A single axis composition involves aligning or overlaying visualizations based on one shared dimension.
SPLOM (Scatterplot Matrix) displays multiple scatterplots to analyze high-dimensional data.

Visual Representation Techniques

Heat maps and scatterplots are effective for visualizing relationships between variables.
Large graphs can be simplified using clustering techniques while maintaining structural details.
Query relaxation in data visualizations allows for broadening selection criteria, enhancing interactivity.

Evaluation Methodologies

Summative evaluation assesses whether specified criteria are met, while formative evaluation focuses on improvement suggestions.
Database attributes for qualitative analysis should include participant ID, interview text, and numerical measures for tracking efficacy.

Visualization Concepts

Gestalt laws explain how viewers perceive visual data through principles like proximity and connectedness.
Focus and context systems like fisheye distortion enable detailed analysis of specific data segments while maintaining an overview.
Bertin's visual variables underlie many aspects of effective data representation.

Data Representation Challenges

Bivariate data can have various suitable representation methods depending on if the variables are qualitative, quantitative, or categorical.
Spring models are less effective when high-level clusters need to be preserved alongside fine-grained details.
Chernoff faces visualize low-dimensional datasets using distinct graphical elements to represent different dimensions.

Cognitive and Perceptual Elements

Stevens’ power law describes how physical intensity impacts perceived sensation differently across individuals.
Interesting aspects in visualizations often include paths correlating attributes, focusing on specific targets, and investigating outliers.

Interaction Techniques

SQL interactions allow users to see results of queries with varying detail levels, enhancing data exploration capabilities.
Visualizations must consider audience perception and the cognitive load associated with interpreting complex data structures.

Miscellaneous Concepts

Data classification may vary, with aspects like dimensional tables or simple relational tables being relevant for organizing data sets.
A focus on detail versus macro-level understanding is crucial in designing algorithms for data analysis.

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