FMGT 4710 Flashcards

1
Q

Nominal Comparison Data Relationship

A
  • Compares the values of a nominal variable based on the values of a second, numeric variable
  • Compares the sizes of each category
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2
Q
  • Compares the values of a nominal variable based on the values of a second, numeric variable
  • Compares the sizes of each category
A

Nominal Comparison Data Relationship

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3
Q

Nominal Comparison Data Examples

A

Bar charts, column charts, dot plots

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4
Q

Distribution Data Relationship

A

Shows how the values of a numeric variable are distributed, or spread out, by providing the lowest value, the highest value, the medium, the interquartile range, etc.

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5
Q

Shows how the values of a numeric variable are distributed, or spread out, by providing the lowest value, the highest value, the medium, the interquartile range, etc.

A

Distribution Data Relationship

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6
Q

Distribution Data Examples

A

Histograms, violin plots, box-and-whisker charts

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7
Q

Deviation Data Relationships

A
  • Shows how a set of actual values deviated from their reference values, which are budgeted or forecasted values
  • Identifies different when results are higher or more favourable then expected, lower or less favorable than expected, and if targets are unreasonable
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8
Q
  • Shows how a set of actual values deviated from their reference values, which are budgeted or forecasted values
  • Identifies different when results are higher or more favourable then expected, lower or less favorable than expected, and if targets are unreasonable
A

Deviation Data Relationships

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9
Q

Deviation Data Examples

A

Cluster bar and column charts, gauges, bullet charts

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10
Q

Ranking Data Relationship

A

Orders the values of a variable sequentially based on the values of a second variable

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11
Q

Orders the values of a variable sequentially based on the values of a second variable

A

Ranking Data Relationship

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12
Q

Part-to-Whole Relationship

A

Compares parts to the whole and looks at how the different parts compare to each other

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13
Q

Compares parts to the whole and looks at how the different parts compare to each other

A

Part-to-Whole Relationship

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14
Q

Part-to-Whole Examples

A

Pie charts, donut chars, stacked bar charts, treemaps

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15
Q

Correlation Data Relationship

A

Indicated the degree to which two variables move in the same or opposite direction

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16
Q

Indicated the degree to which two variables move in the same or opposite direction

A

Correlation Data Relationship

17
Q

Correlation Data Relationship

A

Scatterplot

18
Q

Time Series Data Relationship

A
  • Defines the values of a variable at sequential points in time
  • A visualization requires a time unit such as a minute, hour, day, or week, and a variable that changes over time
19
Q
  • Defines the values of a variable at sequential points in time
  • A visualization requires a time unit such as a minute, hour, day, or week, and a variable that changes over time
A

Time Series Data Relationship

20
Q

Time Series Data Example

A

Line chart, bar chart, column charts, area charts, waterfall charts, sparkline charts

21
Q

Geospatial Data Relationship

A

Numeric values are assigned to locations and encoded through coloring or shading and the sizing of the bubbles within the visualization

22
Q

Numeric values are assigned to locations and encoded through coloring or shading and the sizing of the bubbles within the visualization

A

Geospatial Data Relationship

23
Q

Geospatial Data Examples

A

Choropleth map, proportional symbol map