data visualization: a picture’s worth a thousand numbers · 4/25/2014 · purposes:...
TRANSCRIPT
The Center for IDEA Early Childhood Data Systems
April 25, 2014
Data Visualization: A Picture’s Worth a Thousand Numbers Nick Ortiz, Alice Ridgway and Robin Nelson
! Why Data Visualiza.on? ! Basic Principles ! Considera.ons for Approach ! Examples ! Community of Prac.ce
Agenda
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! #10: Vision trumps all other senses.
! #9: S.mulate more of the senses at the same .me.
! #4: People don’t pay aHen.on to boring things.
Why Visualization? Brain Rules:
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Slide with nothing at bottom for long lists or graphics
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Slide with nothing at bottom for long lists or graphics
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Slide with nothing at bottom for long lists or graphics
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! Two basic types – Explora.on – find a story in the data – Explana.on – tell a story to an audience
! Represent large quan..es of data in a comprehensible way
! Help the user see rela.onships in the data
The Value of Data Visualization
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Four Pillars of Effective Visualizations
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FormaSng: useful? Structure: correct? Content: (only) the right informa.on Purpose: clear and focused?
! Above all else, show the data ! Maximize the data to ink ra.o
– Data ink is the ink on a graph that represents data
! Erase non-‐data ink ! “Do no harm” with color – color used poorly is worse than no color at all
A Few of Tufte’s Principles
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Maximize Data-Ink Ratio
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Lots of Non-Data Ink
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Erase Non-Data Ink
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Erase Non-Data Ink
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! Inappropriate display choices that distort reality, e.g., pie charts, 3-‐D charts
! Variety for the sake of variety ! Poorly designed display choices that use noisy fill paHerns, line styles, saturated/bright colors
! Inconsistent ordering and placement ! Inconsistent or reversed scales ! Propor.onal axis scaling
Common Data Visualization Issues
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! See Rela.onships Among Data Points – ScaHerplot; Matrix Chart; Network Diagram
! Compare a set of values – Bar Chart; Block Histogram; Bubble Chart
! Track changes (rises/falls) over .me – Line Graph; Stack Graph; Stack Graph for Categories
Visualization Options / Many Eyes
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! See the Parts of a Whole – Pie Chart; Treemap
! Analyze Text – Word Tree; Tag Cloud; Phrase Net; Word Cloud Generator
! See the World – Maps
Visualization Options (continued)
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Factors to Consider for Data Visualizations
Purposes: Data explora.on Establish a conceptual framework for how to understand data Presenta.on PaHern checking Modeling for local programs Repor.ng/public awareness Audiences (internal and external stakeholders): State level staff Families Monitoring groups Local programs Advocacy groups Legislators Level of investment: Free applica.ons, easy-‐to-‐use, quick Free-‐to-‐inexpensive, might have to learn how to do something, more ambi.ous Costs $$$, complex or need to contract with an outside party
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Audience
Purpose
Internal Users
Families General Public
Legislators Research
Internal Users
Families General Public
Legislators Research
Internal Users
Families General Public
Legislators Research
Public ReporKng
Assessment VerificaKon
Training PresentaKon
s
Public ReporKng
Assessment VerificaKon
Training PresentaKon
s
Public ReporKng
Assessment -‐ VerificaKon
Training PresentaKon
s
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Resource List
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Questions
! Alice Ridgway – Accountability and Monitoring Manager – Connec.cut Birth to Three System – [email protected] – (860) 496-‐3073
! Nick Or.z – Implementa.on & Data Consultant, Results MaHer – Colorado Department of Educa.on – [email protected] – (303) 866-‐3368
Contact Information for Presenters
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! Visit the DaSy website at: hHp://dasycenter.org/
! Like us on Facebook: hHps://www.facebook.com/dasycenter
! Follow us on TwiHer: @DaSyCenter
Stay in Touch with DaSy
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The contents of this presenta.on were developed under a grant from the U.S. Department of Educa.on, #H373Z120002. However, those contents do not necessarily represent the policy of the U.S. Department of Educa.on, and you should not assume endorsement by the Federal Government. Project Officers, Meredith Miceli and Richelle Davis.
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