Data Visualisation Flashcards
Tabular Data
Data on a table
e.g. all movies
Cross Tabular
Linked Categorised tables
e.g. SQL, directors
Perceiving
Colours, the natural impact of a graph.
Interpreting
Is there enough information to understand what the graph is doing?
E.g. axis labels, scale, title
Comprehending
What the data means
TNOIR
Qualitative
.Textual
.Nominal
.Ordinal
Quantitative
.Interval
.Ratio
Textual
Describing in words e.g. written reviews
Nominal
Categorisation without order e.g. the books are in: English, French, German etc.
Ordinal
Categorisation with order e.g. the coffee was: Good, Medium, Bad
Interval
Scale with an arbitrary zero value e.g. temperature, shoe size, dates
Ratio
Scale with a non-arbitrary zero value e.g. distance, age, speed etc.
Temporal
To do with time,
Cleaning data
Getting rid of nulls, rows with nothing in them, typos, incorrect data types
Marks
visual elements such as bars or points
Attributes
characteristics of marks
e.g. size, colour
Colour
Differentiating data using colour
Saturation
Differentiating data using saturation
Scale
Differentiating data using scale
Quantising
Converting continuous data to discrete.
E.g. 1-100 age scale becomes 10 groups 1-10,11-20,21-30 etc.
Distortion
Making data less easy to read in order to distort its meaning. E.g. a 3D pie chart where the slice closets to the observer looks bigger than it is.
Integrity
Source, access, change transparency
Linking Data
Clicking on a piece of data and moving to another graph
Constraints around data visualisation
Software, training, budget, staff, time, data, hardware, format
Purpose map
helps with design of visualisation, target audience
decides whether visualisation is: Exhibatory, exploratory, or explanatory
Accessibility
What data can be interpreted from a graph, who has access to that data
Functional harmony
Data that is related should have similar formatting, font, aesthetic etc.
MetaData
Data about the data, provides context / enhances understanding
Continuous
data that can be an infinite number of values within a certain range
e.g. temperature, time, weight
Discrete
data that has distinct values, cant be a fraction
e.g. shoe size,
Integer
whole number with not decimal parts
Boolean
True/False
Float
both integer and fractional
String
alphanumeric characters
Date/Time
dates and time
Smallint
stores integers within a specific range (16 bit),
For when memory is a limitation
Complex
Complexity is the amount of information displayed in a graph
Complicated
Complication is the result of too much complexity, it is confusion caused by unclear information
Functional harmony
ensuring that visual elements work together cohesively and effectively convey information
Constraints
limitations or restrictions that influence the design of a visualisation
Histogram
a Barchart showing continuous data (no gaps between bars)
Clustered Bar
a bar chart that shows more than one set of data within each category (two bars, per x-axis label)
ordered bar
bars are ordered by size
unordered bar
bars aren’t ordered, or are ordered by an independent factor e.g. months
scatter and line difference
(see picture)
polar chart
(see picture)
waffle
(see picture)
House of Commons
bubble chart
(see picture)
area graph
(see picture)
word cloud
(see picture)
tree map
(see picture), like hard drive visualiser (winDirStat)
radar chart
(see picture) like a polar chart but shows relationships
web chart
(see picture)
box plot
(see picture)
median, maximum, minimum, outliers
