Data
visualisation
Summary
Latumalea DD, Djakim
,Inhoudsopgave
Hf 1 Informaton Visualisaton....................................................................................................2
Hf 2 Prerequisites for enlightening analysis...............................................................................3
Hf 3 Thinking with our eyes........................................................................................................3
Hf 4 Analytical interaicton and navigaton..................................................................................5
Hf 5 Analytical teichniques and praictices....................................................................................8
Hf 6 Analytical paterns.............................................................................................................10
Hf 7 Time-series analysis...........................................................................................................12
Hf 8 Part-to-whole and ranking analysis...................................................................................15
Hf 9 Deviaton analysis..............................................................................................................17
Hf 10 Distributon analysis........................................................................................................18
Hf 11 Correlaton analysis.........................................................................................................22
Hf 12 Multvariate analysis........................................................................................................26
Djakim Latumalea
, Hf 1 Information Visualisation
Modern informaton visualisaton: possible beicause of graphiics-icapable icomputers and lots
of readily aicicessible data.
Analysis: the proicess of breaking something into its elements or icomponents.
Data analysis: making sense of data.
Visualisaton can have diferent meaning in diferent contexts (Stuart Card, Jock Mackinlay,
and Ben shneiderman):
Data visualisaton: all types of visual representatons that support the exploraton,
examinaton, and icommuniicaton of data.
o Informaton visualisaton: the use of icomputer-supported, interaictve, visual
representatons of abstraict data to amplify icogniton.
o Sicientiic visualisaton: visual representaton of sicientiic data that are usually
physiical in nature, rather than abstraict. (like MRI.)
Data visualisaton
Activities: exploraton, sense-making icommuniicaton.
Technologies: informaton visualisaton, sicientiic visualisaton graphiical
presentaton.
Immediate goal: understanding.
End goal: good deicisions.
Computer-supported: the visualisaton is displayed by a icomputer, usually on sicreen.
Interactve: the visualisaton ican be manipulated simply and direictly in a free-fowing
manner, inicluding aictons suich as iltering the data and drilling down to foicus on details.
Visual representatons: the informaton is displayed in visual form using a piicture of the data
and thereby allow us to see paterns, trends and exiceptons.
Abstract data: informaton suich as quanttatve data, proicesses, or relatonships is
iconsidered abstraict, in icontrast to visual representatons of physiical objeicts, suich as
geography or the human body. Beicause abstraict informaton has no physiical form,
visualisatons must iconneict or map the data to visual icharaicteristics, suich as shapes and
icolours represent the data in periceptble and meaningful ways.
Amplify cogniton: interaictng with these visualisatons extends our ability to think about
informaton by assistng memory and representng the data in ways that our brains ican easily
icomprehend.
“Our seeings, it seems, are not all they seem. This, then, is the Grand illusion.”
Visual working memory has a icapaicity of only three ichunks.
History
2500 BCE, Babylonia: the table emerged as a way to keep reicords of transaictons and
assets.
Djakim Latumalea
visualisation
Summary
Latumalea DD, Djakim
,Inhoudsopgave
Hf 1 Informaton Visualisaton....................................................................................................2
Hf 2 Prerequisites for enlightening analysis...............................................................................3
Hf 3 Thinking with our eyes........................................................................................................3
Hf 4 Analytical interaicton and navigaton..................................................................................5
Hf 5 Analytical teichniques and praictices....................................................................................8
Hf 6 Analytical paterns.............................................................................................................10
Hf 7 Time-series analysis...........................................................................................................12
Hf 8 Part-to-whole and ranking analysis...................................................................................15
Hf 9 Deviaton analysis..............................................................................................................17
Hf 10 Distributon analysis........................................................................................................18
Hf 11 Correlaton analysis.........................................................................................................22
Hf 12 Multvariate analysis........................................................................................................26
Djakim Latumalea
, Hf 1 Information Visualisation
Modern informaton visualisaton: possible beicause of graphiics-icapable icomputers and lots
of readily aicicessible data.
Analysis: the proicess of breaking something into its elements or icomponents.
Data analysis: making sense of data.
Visualisaton can have diferent meaning in diferent contexts (Stuart Card, Jock Mackinlay,
and Ben shneiderman):
Data visualisaton: all types of visual representatons that support the exploraton,
examinaton, and icommuniicaton of data.
o Informaton visualisaton: the use of icomputer-supported, interaictve, visual
representatons of abstraict data to amplify icogniton.
o Sicientiic visualisaton: visual representaton of sicientiic data that are usually
physiical in nature, rather than abstraict. (like MRI.)
Data visualisaton
Activities: exploraton, sense-making icommuniicaton.
Technologies: informaton visualisaton, sicientiic visualisaton graphiical
presentaton.
Immediate goal: understanding.
End goal: good deicisions.
Computer-supported: the visualisaton is displayed by a icomputer, usually on sicreen.
Interactve: the visualisaton ican be manipulated simply and direictly in a free-fowing
manner, inicluding aictons suich as iltering the data and drilling down to foicus on details.
Visual representatons: the informaton is displayed in visual form using a piicture of the data
and thereby allow us to see paterns, trends and exiceptons.
Abstract data: informaton suich as quanttatve data, proicesses, or relatonships is
iconsidered abstraict, in icontrast to visual representatons of physiical objeicts, suich as
geography or the human body. Beicause abstraict informaton has no physiical form,
visualisatons must iconneict or map the data to visual icharaicteristics, suich as shapes and
icolours represent the data in periceptble and meaningful ways.
Amplify cogniton: interaictng with these visualisatons extends our ability to think about
informaton by assistng memory and representng the data in ways that our brains ican easily
icomprehend.
“Our seeings, it seems, are not all they seem. This, then, is the Grand illusion.”
Visual working memory has a icapaicity of only three ichunks.
History
2500 BCE, Babylonia: the table emerged as a way to keep reicords of transaictons and
assets.
Djakim Latumalea
