Data Visualisation

Question 1

Tabular Data

Answer 1

Data on a table

e.g. all movies

Question 2

Cross Tabular

Answer 2

Linked Categorised tables
e.g. SQL, directors

Question 3

Perceiving

Answer 3

Colours, the natural impact of a graph.

Question 4

Interpreting

Answer 4

Is there enough information to understand what the graph is doing?

E.g. axis labels, scale, title

Question 5

Comprehending

Answer 5

What the data means

Question 6

TNOIR

Answer 6

Qualitative
.Textual
.Nominal
.Ordinal

Quantitative
.Interval
.Ratio

Question 7

Textual

Answer 7

Describing in words e.g. written reviews

Question 8

Nominal

Answer 8

Categorisation without order e.g. the books are in: English, French, German etc.

Question 9

Ordinal

Answer 9

Categorisation with order e.g. the coffee was: Good, Medium, Bad

Question 10

Interval

Answer 10

Scale with an arbitrary zero value e.g. temperature, shoe size, dates

Question 11

Ratio

Answer 11

Scale with a non-arbitrary zero value e.g. distance, age, speed etc.

Question 12

Temporal

Answer 12

To do with time,

Question 13

Cleaning data

Answer 13

Getting rid of nulls, rows with nothing in them, typos, incorrect data types

Question 14

Marks

Answer 14

visual elements such as bars or points

Question 15

Attributes

Answer 15

characteristics of marks
e.g. size, colour

Question 16

Colour

Answer 16

Differentiating data using colour

Question 17

Saturation

Answer 17

Differentiating data using saturation

Question 18

Scale

Answer 18

Differentiating data using scale

Question 19

Quantising

Answer 19

Converting continuous data to discrete.
E.g. 1-100 age scale becomes 10 groups 1-10,11-20,21-30 etc.

Question 20

Distortion

Answer 20

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.

Question 21

Integrity

Answer 21

Source, access, change transparency

Question 22

Linking Data

Answer 22

Clicking on a piece of data and moving to another graph

Question 23

Constraints around data visualisation

Answer 23

Software, training, budget, staff, time, data, hardware, format

Question 24

Purpose map

Answer 24

helps with design of visualisation, target audience
decides whether visualisation is: Exhibatory, exploratory, or explanatory

Question 25

Accessibility

Answer 25

What data can be interpreted from a graph, who has access to that data

Question 26

Functional harmony

Answer 26

Data that is related should have similar formatting, font, aesthetic etc.

Question 27

MetaData

Answer 27

Data about the data, provides context / enhances understanding

Question 28

Continuous

Answer 28

data that can be an infinite number of values within a certain range e.g. temperature, time, weight

Question 29

Discrete

Answer 29

data that has distinct values, cant be a fraction e.g. shoe size,

Question 30

Integer

Answer 30

whole number with not decimal parts

Question 31

Boolean

Answer 31

True/False

Question 32

Float

Answer 32

both integer and fractional

Question 33

String

Answer 33

alphanumeric characters

Question 34

Date/Time

Answer 34

dates and time

Question 35

Smallint

Answer 35

stores integers within a specific range (16 bit), For when memory is a limitation

Question 36

Complex

Answer 36

Complexity is the amount of information displayed in a graph

Question 37

Complicated

Answer 37

Complication is the result of too much complexity, it is confusion caused by unclear information

Question 38

Functional harmony

Answer 38

ensuring that visual elements work together cohesively and effectively convey information

Question 39

Constraints

Answer 39

limitations or restrictions that influence the design of a visualisation

Question 40

Histogram

Answer 40

a Barchart showing continuous data (no gaps between bars)

Question 41

Clustered Bar

Answer 41

a bar chart that shows more than one set of data within each category (two bars, per x-axis label)

Question 42

ordered bar

Answer 42

bars are ordered by size

Question 43

unordered bar

Answer 43

bars aren't ordered, or are ordered by an independent factor e.g. months

Question 44

scatter and line difference

Answer 44

(see picture)

Question 45

polar chart

Answer 45

(see picture)

Question 46

waffle

Answer 46

(see picture) House of Commons

Question 47

bubble chart

Answer 47

(see picture)

Question 48

area graph

Answer 48

(see picture)

Question 49

word cloud

Answer 49

(see picture)

Question 50

tree map

Answer 50

(see picture), like hard drive visualiser (winDirStat)

Question 51

radar chart

Answer 51

(see picture) like a polar chart but shows relationships

Question 51

web chart

Answer 51

(see picture)

Question 52

box plot

Answer 52

(see picture) median, maximum, minimum, outliers