1) R language command: How many men (male) who are Caucasian (cn) has more than 1 child (ch) in the DataSet? (Assume mosaic package is used)

		tally(~male+cn|ch>1, data=[DataFrameName],margins=TRUE)
		tally(~male+cn|ch>=1, data=[DataFrameName],margins=TRUE)
		tally(~male+cn|ch=1, data=[DataFrameName],margins=TRUE)
		tally(~male+cn|ch>1, data=[DataFrameName],margins=TRUE, format=perc)

2)

R language command: What proportion of men (male) who are Caucasian (cn) exist in the DataSet? (Assume mosaic package is used)

		tally(~cn, data=[DataFrameName],margins=TRUE)
		tally(~male+cn, data=[DataFrameName],margins=TRUE, format=perc)
		tally(~male+cn, data=[DataFrameName],margins=TRUE, format=prop)
		tally(~male, data=[DataFrameName],margins=TRUE)

3)

Match the encoding data properties and features.

- A. B. C. D.	Point
- A. B. C. D.	Line
- A. B. C. D.	Area
- A. B. C. D.	Form
- A. B. C. D.	Position
- A. B. C. D.	Size
- A. B. C. D.	Angle/Slope
- A. B. C. D.	Quantity
- A. B. C. D.	Color: Saturation
- A. B. C. D.	Color: Lightness
- A. B. C. D.	Pattern
- A. B. C. D.	Motion
- A. B. C. D.	Symbol/Shape
- A. B. C. D.	Color: Hue
- A. B. C. D.	Connection/Edge
- A. B. C. D.	Containment

A.	Relational Attributes
B.	Marks
C.	Categorical Attributes
D.	Quantitative Attributes

4)

R language command: What percentage of men (male) who are Caucasian (cn) are married (m) and has 2 children (ch) in the DataSet? (Assume mosaic package is used)

		tally(~male+cn+m|ch=2, data=[DataFrameName], margins=TRUE, format=perc)
		tally(~male+cn+m|ch>=2, data=[DataFrameName], margins=TRUE, format=perc)
		tally(~male+cn+m|ch=2, data=[DataFrameName], margins=TRUE)
		tally(~male+cn+m|ch=2, data=[DataFrameName], margins=TRUE, format=prop)

5)

Match the graphs and the data types.

- A. B. C. D.	Pie Charts
- A. B. C. D.	Bar Plots
- A. B. C. D.	Histograms
- A. B. C. D.	Box Plots
- A. B. C. D.	Scatter Plots

A.	2 Categorical Groups
B.	Continuous Data by a Categorical Group
C.	2 Continuous Data Groups
D.	Continuous Data

6)

Match the chart types.

- A. B. C. D. E.	Categorical
- A. B. C. D. E.	Hierarchical
- A. B. C. D. E.	Relational
- A. B. C. D. E.	Temporal
- A. B. C. D. E.	Spatial

A.	Comparing categories and distributions of quantitative values
B.	Mapping spatial patterns through overlays and distortions
C.	Showing trends and activities over time
D.	Charting part-to-whole relationships and hierarchies
E.	Graphing relationships to explore correlations and connections

7) Visualizers are doing the reverse through visual ____________, assigning visual properties to data values.

8) Viewers perceiving a visual display of data are ____________ the various shapes, sizes, positions and colors to form an understanding of the values represented.

9)

Based on Kirks (2016) scoring system of assessment of charts, what score would you assign the following: Charts you can make but involve a greater amount of time and effort?

		0
		3
		2
		1