data visualization: the what, the who, and the how (287772413)
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8/20/2019 Data Visualization: The What, the Who, and the How (287772413)
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Top 3 Visualization of All Time?
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March on Moscow – Charles Minard
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GapMinder - Rosling
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ondon Cholera Map – !ohn "now #$%&'(
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O%%ortunities in the Use of $ata Visuali&ation
Objectives:
)n order to get people to use the tools
and ma*e data dri+en decisions, it is+er important the are comforta.lewith the tool/ "imple tools ma*e theadoption of such tools easier in the
enterprise/ Thus, the results will dri+ethe performance of the organizationto a higher le+el/
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User Community
+ $evelo%ers and Programmers
+ on-$evelo%ers
Point to note. /hat 0or!s 0ell for technically
savvy develo%ers may not 0or! for faculty or staff
0ithout those same credentials1
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on-Technical Solutions+ $ata /ra%%er
+ #a0
+ Infogram+ Tableau
Point to note. These %roducts can ta!e basic data and
visuali&e it in charts, gra%hs, and in some cases
geogra%hical ma%s1 These %roducts can be used by faculty
and staff 0ith little intervention from IT, as long as they have
a basic familiarity 0ith s%readsheet data1
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$evelo%ers+ Oracle suite of O2I(( 3Oracle 2usiness Intelligence (nter%rise
(dition4 has been very successful for CSU
+ Cognos 3I254 is another tool that is very %o%ular for develo%ers
and has been used by USG central office
+ $6 37or $ata $riven $ocuments4
+ 7usion Charts
+ Chart 8s
+ Google Charts
Point to note. 'el%ing a %rogrammer or develo%er learn ta!es time
through training1 If he or she can learn by shado0ing a consultant
or an e)%erienced develo%er, learning ha%%ens 9uic!er 1
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#eality of 'igher (d (nvironment and /hy$ata Visuali&ation 5a!es Analytic (asy:
+ As!ing a $ean or Chair to use O2I(( is li!e as!ing a math
ma8or to %erform brain surgery1 2oth e)am%les may get the 8ob accom%lished, ho0ever, both 0ould be a ;bloody; mess1
+ In addition, many times the ;0ait; for a develo%er to %rovide
the data in a dashboard ta!es too long for these non-
technical grou%s1 They 0ant the information no01
+ Once they 3functional users4 get the data, they as! more
9uestions since they don<t !no0 0hat they really 0ant or are
loo!ing for=
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T0o %rimary design goals su%%orted through
$ata Visuali&ation
+ $iscovery and ()%loration
> /hat story is the data telling you
> Identify %atterns and e)ce%tions
+ $ecision-ma!ing
> Com%are, contrast, choose
> ()%lain, ma!e a %oint, decide
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$ata Visuali&ation Strategies. Visual
Analytics Tools Su%%ort $ata $iscovery
()am%les. 'eat ma%s, 0hat-if modeling, %redictive modeling, charts
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$ata Visuali&ation Strategies. Visual
#e%orting Tools Su%%ort $ecision-ma!ing
()am%les. $ashboards,
scorecards, PIs
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Ti%s and 2est Practices
+ $ata is still the !ing
+ no0 your re9uirements
+ #ecogni&e your audience
+ 2alance s%arsity and density
+ Prototy%e-test-iterate
+ ?everage tem%lates > standard loo! and feel
+ Use color for distinction and selection
h 0 i i f A i
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0sing 1ata Visualization
To communicate 2resent more clearl or more forcefull
than would .e accomplished with tet orta.les
Reports, dash.oards, infographics, etc/
To disco+erAllow us to see what would .e di4cult or
impossi.le to see if not presented in auseful +isualization
Realm of research .ut mo+ing into themainstream
Can same +isualization ser+e .oth
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A5 R Actua s72ro ect ons +s/Goals
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Research 9 +s/ "C: Taughthe 0ni+ersit of Arizona
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Curricular ;low – ;orwardhe 0ni+ersit of Arizona
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C)V)TA" <AR=)=G, )=C/ -- C6=;)1<=T)A )=;6RMAT)6=
;or FTIC FT Freshman in their First Term, .oth "AT andACT Math scores ma*e the list with clear tipping points for.oth> "AT Math #&&( and ACT Math #@(/
UA I N S I G H T S
"tudents in thissegment with ACTMath scores greaterthan @ also persist ata rate $ percentagepoints higher than
those .elow @
"tudents in thissegment with "ATMath scores greaterthan && persist at arate $ percentagepoints higher thanthose .elow &&
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1eri+ed )mplicit "ocial =etwor* Tied to Retention
he 0ni+ersit of Arizona
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http>77dash.oardsp/com7dash.oards7'B7intuiti+e-dash.oard-design-reattenti+e-+aria.les
Introduce Pre-Attentive Variables
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Avoid Pie Charts==
http>77www/perceptualedge/com7articles7+isual.usinessintelligence7sa+ethepiesfordessert/pdf
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/hat $o @ou Thin!:
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Avoid Pie Charts * Color Usage
Color 5lindness in the General2opulation
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Initiate Infogra%hics
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he 0ni+ersit of Arizona
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Duestions
"hould we tr to suppl data+isualization tools centrall?
"hould we tr to support good
practices around data +isualization?Ehat organizational unit#s( would .e
responsi.le?
Eh did our information sa++ deansresist our presenting informationgraphicall?
:ow do we connect the research
he 0ni+ersit of Arizona
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uestions * Ans0ers:
# d d #
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#ecommended #esources
"ources for )nspirations>
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