CS 7643 QUIZ 2 PREP SET 2026 TESTED
QUESTIONS WITH RATIONALE
◉ Analysis. Answer: Facilitate data understanding and help raise
new questions to generate insights
◉ Presentation. Answer: Using data to tell a story to make a point
◉ Nominal, Ordinal, and Interval. Answer: Three basic types of data
attributes
◉ Interval data attribute. Answer: continuous numeric (age,
performance, etc)
◉ Nominal data attribute. Answer: 2+ categories no specific order
◉ Ordinal data attribute. Answer: 2+ categories that are ordered or
on a spectrum (how confident are you: very, somewhat, not so much,
not at all)
◉ Data Marks. Answer: graphical elements that encode data values
(size, shape, color, orientation, position, thickness, etc)
,◉ Data Values, Data Marks. Answer: Visualization is about the visual
mapping between _____ and _____
◉ Visual Encoding Channels. Answer: visual measurements of
magnitude - building blocks of visualizations
◉ Position, Size, Orientation, and Color. Answer: What are the 4
visual encoding channels (from most to least precise)
◉ Position visual encoding channel. Answer: Most precise channel,
uses x and y axis
◉ true. Answer: We are very imprecise when it comes to comparing
areas
◉ people can manipulate the meaning of area encodings for
exaggeration and understatement. Answer: what is one downfall of
area encodings
◉ 1D Length, 2D Area, 3D Volume, Numeracy. Answer: What are the
categories of size visual encoding
◉ Numeracy for size encoding. Answer: representing values with
arrays of icons
, ◉ Orientation visual encoding. Answer: Uses angle or direction of
graphical marks
◉ Saturation, Brightness, and Hue. Answer: What are the categories
of Color visual encoding
◉ Hue. Answer: selecting a color
◉ Saturation. Answer: the intensity of a hue from gray tone (no
saturation) to a pure, vivid color (high saturation)
◉ Brightness. Answer: the relative lightness or darkness of a
particular color
◉ Size (2D). Answer: What visual encoding is pie chart using
◉ position. Answer: what visual encoding is a black scatterplot using
◉ none. Answer: what visual encoding is a table using
◉ one for each data attribute. Answer: how many different visual
encodings should I use in one visualization
QUESTIONS WITH RATIONALE
◉ Analysis. Answer: Facilitate data understanding and help raise
new questions to generate insights
◉ Presentation. Answer: Using data to tell a story to make a point
◉ Nominal, Ordinal, and Interval. Answer: Three basic types of data
attributes
◉ Interval data attribute. Answer: continuous numeric (age,
performance, etc)
◉ Nominal data attribute. Answer: 2+ categories no specific order
◉ Ordinal data attribute. Answer: 2+ categories that are ordered or
on a spectrum (how confident are you: very, somewhat, not so much,
not at all)
◉ Data Marks. Answer: graphical elements that encode data values
(size, shape, color, orientation, position, thickness, etc)
,◉ Data Values, Data Marks. Answer: Visualization is about the visual
mapping between _____ and _____
◉ Visual Encoding Channels. Answer: visual measurements of
magnitude - building blocks of visualizations
◉ Position, Size, Orientation, and Color. Answer: What are the 4
visual encoding channels (from most to least precise)
◉ Position visual encoding channel. Answer: Most precise channel,
uses x and y axis
◉ true. Answer: We are very imprecise when it comes to comparing
areas
◉ people can manipulate the meaning of area encodings for
exaggeration and understatement. Answer: what is one downfall of
area encodings
◉ 1D Length, 2D Area, 3D Volume, Numeracy. Answer: What are the
categories of size visual encoding
◉ Numeracy for size encoding. Answer: representing values with
arrays of icons
, ◉ Orientation visual encoding. Answer: Uses angle or direction of
graphical marks
◉ Saturation, Brightness, and Hue. Answer: What are the categories
of Color visual encoding
◉ Hue. Answer: selecting a color
◉ Saturation. Answer: the intensity of a hue from gray tone (no
saturation) to a pure, vivid color (high saturation)
◉ Brightness. Answer: the relative lightness or darkness of a
particular color
◉ Size (2D). Answer: What visual encoding is pie chart using
◉ position. Answer: what visual encoding is a black scatterplot using
◉ none. Answer: what visual encoding is a table using
◉ one for each data attribute. Answer: how many different visual
encodings should I use in one visualization
