Visualizing Health and Healthcare Data Creating Clear and Compelling Visualizations to See How You're Doing.

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rowell, Katherine
Otros Autores: Brown, Cambria, Betzendahl, Lindsay
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2020.
Temas:
Medical statistics > Data processing.
Medical statistics > Data processing
Acceso en línea:Texto completo
Texto completo
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Section I Establishing a Framework and Process
  • Chapter 1 Health and Healthcare Data Visualizations of Historical Importance
  • Chapter 2 Stop Hunting Unicorns and Start Building Teams and Know The Data
  • Search for Characteristics and Core Competencies
  • Get to Know the Data
  • Classifications, Intent, Purpose, and Lineage
  • Two Types of Data
  • Qualitative/Categorical Data
  • Quantitative/Numerical Data
  • Scales/Levels of Measure
  • Nominal
  • Ordinal
  • Interval
  • Ratio
  • Summary
  • Chapter 3 Requirements-Gathering andDesign Methods
  • Design Thinking Foundational Concepts
  • Design Methods
  • Contextual Inquiry
  • Mental Models
  • Personas
  • Persona Creation Guide
  • Graphic Organizers
  • Guided Analytics Framework
  • Summary Overview Dashboard
  • Supporting Focused Reports
  • Details
  • Multidimensional Exploratory Displays (MEDs™)
  • Sketching
  • Prototyping
  • Testing
  • Summary
  • Section II Perceiving the Best Practices of Data Visualization
  • Chapter 4 The Research
  • Research Informs Data Visualization Best Practices
  • Preattentive Attributes
  • Preattentive Attributes at Work
  • Gestalt Principles
  • Color Theory
  • The Power of White Space
  • Where People Look
  • Summary
  • Chapter 5 Table Design Checklist
  • Fundamentals of Table Design
  • Organization/Categorization
  • Non-Data Ink
  • Fonts
  • Number Alignment and Formatting
  • Labels
  • Summary
  • Chapter 6 Powerful Visualizations in Four Shapes
  • Bars, Lines, Points, and Boxes
  • Shape One: Bars
  • Bar Basics
  • Using Bars To: See How You're Doing
  • Distributions
  • Histograms
  • Population Pyramid (Paired Bars)
  • Ranking
  • Change over Time
  • Comparing Multiple Data Points
  • Proportions | Part-to-Whole
  • Challenging the 100% Myth
  • Deviation (Difference, Variation)
  • Ranges and Comparative Values
  • Displaying the Vital Few: Pareto Charts
  • Bars Are Not Boring
  • Shape Two: Lines
  • Line Basics
  • Using Lines To: See How You're Doing
  • As a Reference | Comparison
  • Change over Time
  • Change over Time | Sparklines
  • Change over Time | Deviation Graphs
  • Distributions
  • Distributions | The Empirical Rule and Control Charts
  • Statistical Process Control Charts (SPCs) and Geometric (G) Charts
  • Relationships | Correlations
  • Shape Three: Points
  • Point Basics
  • Using Points To: See How You're Doing
  • Distributions
  • Revealing Details
  • Change over Time
  • Correlation
  • Hierarchy Quadrant
  • Location Details
  • Shape Four: Boxes
  • Box Basics
  • Using Boxes To: See How You're Doing
  • Distribution
  • Multiple Values
  • Change over Time and Utilization Rates
  • Hierarchical Data
  • Other Shapes
  • Summary
  • Chapter 7 Maps
  • Using Maps to Gain Insights
  • Geographic Maps
  • Choropleth Maps
  • Hex-Tile Maps
  • Symbol/Dot-Density Maps
  • Proportional Symbol Maps
  • When Not to Use a Map
  • Summary

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