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.Quantitative AttributesB.Categorical AttributesC.MarksD.Relational Attributes

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2 points   

Based on Kirk’s (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?        3             1            2             0

1 points   

R language command: What proportion of men (male) who are Caucasian (cn) exist in the DataSet? (Assume “mosaic” package is used)tally(~male+cn, data=[DataFrameName],margins=TRUE, format=”prop”)tally(~male+cn, data=[DataFrameName],margins=TRUE, format=”perc”)tally(~male, data=[DataFrameName],margins=TRUE)tally(~cn, data=[DataFrameName],margins=TRUE)

1 points   

Visualizers are doing the reverse through visual —————— , assigning visual properties to data values.

1 points   

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

1 points   

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 PlotsA.2 Continuous Data GroupsB.Continuous DataC.2 Categorical GroupsD.Continuous Data by a Categorical Group

1 points   

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”)

1 points   

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. SpatialA.Comparing categories and distributions of quantitative valuesB.Charting part-to-whole relationships and hierarchiesC.Showing trends and activities over timeD.Graphing relationships to explore correlations and connectionsE.Mapping spatial patterns through overlays and distortions

1 points   

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”)

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