Data Visualisation Flashcards

1
Q

Adjacent value (2)

A

–On a box plot
–The first value of the data set inside either outer fence

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2
Q

What do the X and Y axis represent in a bar chart?

A

X-axis: usually a categorical variable

Y-axis: frequency, average, %, etc.

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3
Q

Box plot (3)

A

Exploratory data chart that shows:
1. Median
2. Central spread
3. Position of relative extremes

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4
Q

Cumulative frequency (2)

A

–Distribution (table or chart
–Shows # of cases that have occurred up to and including the specified category

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5
Q

Exploratory data analysis (2)

A

–Tukey
–Closely examine data for patterns before significance testing

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6
Q

Frequency polygon (2)

A

–Histogram
–Shows only peaks of class intervals

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7
Q

Hinge position (3)

A

–In box plots
–Top of data set where 1st quartile is
–Bottom of data set where 3rd quartile is

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8
Q

Hinge spread (2)

A

–Box plot
–Distance between lower and upper hinges

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9
Q

Histogram (3)

A

–Chart
–Contains an entire continuous data set
–Divided into proportional class intervals

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10
Q

Line chart

A

Joins continuous data points in a single line

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11
Q

Lower hinge

A

–Box plot
–First quartile

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12
Q

Outer fence (4)

A

–Box plot
–Extreme position
–Lower hinge - 1.5 x the hinge spread
–Upper hinge + 1.5 x the hinge spread

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13
Q

Stem and leaf chart (3)

A

–Exploratory data analysis tool
–Shows every value in a data set
–Organised into class intervals to give a histogram shape

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14
Q

Time series

A

–Line chart
–Shows measures of a variable at different time intervals

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15
Q

Upper hinge

A

–Box plot
–Third quartile

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16
Q

What two factors do you have to balance when deciding whether to visualise data?

A

–Efficiency
–Transparency

17
Q

What can bar charts hide?

A

Continuous data

18
Q

Where should I look to find style guides for tables and charts?

A

APA style guides

19
Q

What four factors make up the anatomy of a table?

A
  1. Numbered sequentially, informative title
  2. Informative row/column headers
  3. Note for more information, like abbreviations
  4. No vertical lines
20
Q

What four factors make up the anatomy of a figure?

A
  1. Numbered sequentially with an informative title
  2. Mention what features like error bars represent
  3. Note for more information, like abbreviations
  4. Informative axis labels so readers can understand without reading the main text
21
Q

Give an example of a common visual illusion in data visualisation?

A

Truncated y-axis

22
Q

What is a truncated y-axis?

A

–Y-axis that doesn’t start at 0
–Makes people think there’s a bigger difference between values

23
Q

What common visual confusion should I be aware of?

A

Colour coding that colourblind people can’t see

24
Q

Why should I use visual grouping?

A

Highlight comparisons I want readers to make

25
Q

Give an example of a common assumption people have about how to interpret different features of graphs.

A

Lower numbers at bottom of y-axis, higher numbers at top.

26
Q

What do tables help you do?

A

Efficiently communicate large amounts of data

27
Q

What do figures help you do?

A

Highlight key patterns & messages