Data Visualisation Flashcards
(27 cards)
Adjacent value (2)
–On a box plot
–The first value of the data set inside either outer fence
What do the X and Y axis represent in a bar chart?
X-axis: usually a categorical variable
Y-axis: frequency, average, %, etc.
Box plot (3)
Exploratory data chart that shows:
1. Median
2. Central spread
3. Position of relative extremes
Cumulative frequency (2)
–Distribution (table or chart
–Shows # of cases that have occurred up to and including the specified category
Exploratory data analysis (2)
–Tukey
–Closely examine data for patterns before significance testing
Frequency polygon (2)
–Histogram
–Shows only peaks of class intervals
Hinge position (3)
–In box plots
–Top of data set where 1st quartile is
–Bottom of data set where 3rd quartile is
Hinge spread (2)
–Box plot
–Distance between lower and upper hinges
Histogram (3)
–Chart
–Contains an entire continuous data set
–Divided into proportional class intervals
Line chart
Joins continuous data points in a single line
Lower hinge
–Box plot
–First quartile
Outer fence (4)
–Box plot
–Extreme position
–Lower hinge - 1.5 x the hinge spread
–Upper hinge + 1.5 x the hinge spread
Stem and leaf chart (3)
–Exploratory data analysis tool
–Shows every value in a data set
–Organised into class intervals to give a histogram shape
Time series
–Line chart
–Shows measures of a variable at different time intervals
Upper hinge
–Box plot
–Third quartile
What two factors do you have to balance when deciding whether to visualise data?
–Efficiency
–Transparency
What can bar charts hide?
Continuous data
Where should I look to find style guides for tables and charts?
APA style guides
What four factors make up the anatomy of a table?
- Numbered sequentially, informative title
- Informative row/column headers
- Note for more information, like abbreviations
- No vertical lines
What four factors make up the anatomy of a figure?
- Numbered sequentially with an informative title
- Mention what features like error bars represent
- Note for more information, like abbreviations
- Informative axis labels so readers can understand without reading the main text
Give an example of a common visual illusion in data visualisation?
Truncated y-axis
What is a truncated y-axis?
–Y-axis that doesn’t start at 0
–Makes people think there’s a bigger difference between values
What common visual confusion should I be aware of?
Colour coding that colourblind people can’t see
Why should I use visual grouping?
Highlight comparisons I want readers to make
