Best Practices Building and Designing Data Visualizations · Best Practices Building and Designing...

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#mstrworld Best Practices Building and Designing Data Visualizations Gianthomas Volpe

Transcript of Best Practices Building and Designing Data Visualizations · Best Practices Building and Designing...

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Best Practices Building and Designing Data Visualizations

Gianthomas Volpe

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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The Need for Data Visualization

Why do we visualize data?

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“The purpose of data visualization – any data

visualization - is to illuminate data. To show

patterns and relationships that are otherwise

hidden in an impenetrable mass of numbers” -Robert Simmon, OpenVis Conference 2014

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The Need for Data Visualization

Data Visualization makes hidden trends and patterns in the data easily visible

How many times does the number 89 appear?

78 42 71 43 84 27 83 91 39 18 80 15 44 66 79

32 15 68 40 35 54 93 47 22 77 87 85 35 17 62

99 47 44 19 39 12 78 87 99 75 21 75 65 43 66

41 56 22 66 62 29 96 21 41 55 48 7 25 85 9

91 67 53 33 34 28 28 24 6 33 94 68 81 24 89

67 70 18 97 40 46 29 0 36 28 17 44 83 17 31

0 96 95 39 60 81 24 56 27 4 36 22 38 9 12

83 6 94 92 47 70 94 50 18 67 80 13 56 25 96

65 78 41 89 42 33 53 37 10 35 82 40 71 18 34

58 79 58 33 99 59 33 68 4 34 19 78 11 23 1

46 8 43 89 91 57 3 45 7 87 22 1 7 79 97

21 92 34 39 4 47 8 84 30 19 38 46 48 70 77

22 68 58 23 59 18 94 49 47 30 5 22 60 73 93

64 15 20 46 79 47 43 55 52 48 31 46 25 49 38

55 16 29 91 93 61 86 87 4 83 87 91 58 7 30

27 43 8 91 12 48 74 41 45 30 17 83 20 66 11

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The Need for Data Visualization

Data Visualization makes hidden trends and patterns in the data easily visible

How many times does the number 89 appear?

78 42 71 43 84 27 83 91 39 18 80 15 44 66 79

32 15 68 40 35 54 93 47 22 77 87 85 35 17 62

99 47 44 19 39 12 78 87 99 75 21 75 65 43 66

41 56 22 66 62 29 96 21 41 55 48 7 25 85 9

91 67 53 33 34 28 28 24 6 33 94 68 81 24 89

67 70 18 97 40 46 29 0 36 28 17 44 83 17 31

0 96 95 39 60 81 24 56 27 4 36 22 38 9 12

83 6 94 92 47 70 94 50 18 67 80 13 56 25 96

65 78 41 89 42 33 53 37 10 35 82 40 71 18 34

58 79 58 33 99 59 33 68 4 34 19 78 11 23 1

46 8 43 89 91 57 3 45 7 87 22 1 7 79 97

21 92 34 39 4 47 8 84 30 19 38 46 48 70 77

22 68 58 23 59 18 94 49 47 30 5 22 60 73 93

64 15 20 46 79 47 43 55 52 48 31 46 25 49 38

55 16 29 91 93 61 86 87 4 83 87 91 58 7 30

27 43 8 91 12 48 74 41 45 30 17 83 20 66 11

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Why We Visualize Good Visualizations Should Make Data Actionable

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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Types and Functions of Data Visualization

Tables vs. Graphs

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• Tables – Interact primarily with verbal system.

• Graphs – Interact primarily with visual system.

• Who is your audience?

• What are they

expecting?

• How will they interact

with the data?

Goals

• What is the purpose of

your visualization?

• What kind of insight

are sharing?

• How much data do you

have?

• What kind of data?

3 Factors to consider:

Audience Data

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Types and Functions of Data Visualization

What is the purpose of your visualization?

Exploratory

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Explanatory

Interactive

Static

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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Understand Your Data

Know your data to visualize it correctly

Data Types

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Nominal Data • Defines, Describes or Identifies

Ordinal Data • Indicates Position or Order

Cardinal Data • Quantifies, Counts or Measures

Qualitative (Attributes)

Quantitative (Metrics)

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Data that can be counted and ordered, but not aggregated

Understand Your Data

Qualitative Data Types - Attributes

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Ordinal Data

• Date – 1/1/2015, 1/2/2015, 1/3/2015

• Rank – Like, Neutral, Dislike

• Grade – C, C+, B-, B, B+, A-, A, A+

Examples

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Data that be counted, but not ordered or aggregated.

Understand Your Data

Qualitative Data Types - Attributes

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Nominal Data

Examples

• Product – Books, Movies, Magazines

• Gender – Male, Female

• City – Los Angeles, New York, Arlington

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Data that can be counted, ordered, and aggregated.

Understand Your Data

Quantitative Data Types - Metrics

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Cardinal Data

Examples

• KPIs – Revenue, Cost, Profit

• Counts – Number of Employees, Number of Units

• Measures – Distance, Time, Temperature

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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Getting to Know The Visualizations

Selecting a Visualization

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Comparisons Distribution Geospatial

Part-to-whole Relationships Time

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Getting to Know The Visualizations

Comparison Visualizations

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Comparisons

Few Categories Many Categories

Many Items

Clustered Bar Chart Bar Chart Bar Chart Matrix

Few Items

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Getting to Know The Visualizations

Comparison Visualizations – To Avoid

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Avoid Using

Line Charts Implies Continuity

between points.

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Getting to Know The Visualizations

Distribution Visualizations

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Distribution

Column Histogram Line Histogram Scatter Plot

Single Variable Two Variables

Many Items Few Items

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Getting to Know The Visualizations

Geospatial Visualizations

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Geography

Bubble Map Density Map Area Map Marker Map

Few Data Points Many Data Points

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Getting to Know The Visualizations

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Part-to-whole

Few Categories Many Categories Parts of Categories

Pie Chart Heat Map 100% Stacked Bar

Part-to-whole Visualizations

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Getting to Know The Visualizations

Relationship Visualizations

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Network Graph Scatter Plot Bubble Chart

Relationship

Two Variables Three Variables Related Elements

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Getting to Know The Visualizations

Time Visualizations

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Line Graph Clustered Bar Chart Line Graph

Time

Few Periods

Many Categories Single of Few Categories

Many Periods

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Getting to Know The Visualizations

Time Visualizations

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Avoid Using

Pie Chart Removes Ordinality

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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Color and Formatting

Using color and size to enhance your visualization

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Formatting your visualization with colors and sizing can help you

communicate the insights in your data and improve user experience.

Hue Saturation

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Color and Formatting

Hues - Using color bands

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Hues can be used to create bands of contrasting colors. Apply the banding on

attributes to visualize trends and insights for attribute elements.

Use opposing colors to increase contrast between attributes elements.

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Color and Formatting

Saturation - Using color gradients

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Saturation can be used to visualize additional quantitative data (metrics). Use

the metrics to color visualization elements by an additional measure.

Use less saturation for lower values, and more saturation for higher values.

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Color and Formatting

Using the right number of colors

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Use Fewer Than 6 Colors

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Color and Formatting

Using colors to emphasize and contrast

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Use Opposing Colors for Comparisons

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Color and Formatting

Using colors to emphasize and contrast

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Use Opposing Cool Colors for Backgrounds, Warm Colors for Data

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Color and Formatting

Color Blindness Affects 10-18% of the Male Population

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12

42

2

6

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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Shapes and Labels

The right shapes for your insights

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Bar Pie

Tick Square

Circle Ring

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Shapes and Labels

Labels add fundamental context

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Context is important - always label your axes

Label data points if more context is needed and you don’t too many

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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Building a Dashboard

Guiding the dashboard consumer

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Primary

Optical Area

Weak

Fallow Area

Terminal

Area

Strong

Fallow Area

Reading Gravity

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Building a Dashboard

Guiding the dashboard consumer

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Primary

Optical Area

Weak

Fallow Area

Terminal

Area

Strong

Fallow Area

Reading Gravity

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Building a Dashboard

Guiding the dashboard consumer

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Present Information Hierarchically

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Building a Dashboard

Guiding the dashboard consumer

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Present Information Hierarchically

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Agenda

• The Need for Data Visualization

• Types and Functions of Data Visualization

• The Data You Have

• Getting to Know the Visualizations

• Color and Formatting

• Shapes and Labels

• Building a Dashboard

• Next Steps

• Questions and Answers

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5 Rules for Successful Data Visualization

1.Don’t present too much information

2.Avoid using too many colors

3.Don’t distort the data

4.Organize the visualizations

5.Provide Context and Label Correctly

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Questions and Answers

MicroStrategy World 2015

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Self-Service Analytics

MicroStrategy World 2015

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Enterprise Data Discovery Hands-On Workshop

Track 13

Intro to

Enterprise Data Discovery

Advanced Enterprise

Data Discovery

Integrating R into

Enterprise Data Discovery

• Connect to Advanced Data Sources

• Scrape data from web pages

• Create Advanced Metrics & Integrate D3 library

• Connect to Server for Governed Data Discovery

• Build Metrics using 300+ inbuilt Analytical Functions

• Set up and use R Advanced Analytics Functions

• Visualize Advanced Analytics with D3 Visualizations

• Access Any Data and Prepare for Analysis

• Analyze Your Data and Visualize the Insights

• Share Your Dashboard and Collaborate

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Early Adopter Program

MicroStrategy 10 Self-Service Capabilities

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BRAND NEW HTML 5 UX FOR FASTER EXPERIENCE

MicroStrategy

Modeled Data

Personal/Departmental

Cloud

Databases

Big Data

4

6

Data Wrangling

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Visualization Challenge

Exhibit Hall

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MicroStrategy 9s

Free recommended Security upgrade

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Contact us to find out what programs we have for you.


Bootstrapping - use visualizations to create visualizations

Bootstrapping - use visualizations to create visualizations

Visualizations Brian Buehling

Visualizations Brian Buehling

Interpretation and Trust: Designing Model-Driven Visualizations

Interpretation and Trust: Designing Model-Driven Visualizations

Interpretation and Trust: Designing Model-Driven Visualizations for Text …vis.stanford.edu/files/2012-InterpretationTrust-CHI.pdf · 2012-02-07 · Interpretation and Trust: Designing

Interpretation and Trust: Designing Model-Driven Visualizations for Text …vis.stanford.edu/files/2012-InterpretationTrust-CHI.pdf · 2012-02-07 · Interpretation and Trust: Designing

NETx Visualizations

NETx Visualizations

Infoviz Designing Data Visualizations-imgs

Infoviz Designing Data Visualizations-imgs

An introduction to designing and building data visualizations

An introduction to designing and building data visualizations

Introducing Product and Process Visualizations to …feldt/teaching/master_theses/alette-fritzon... · Introducing Product and Process Visualizations to ... and Process Visualizations

Introducing Product and Process Visualizations to …feldt/teaching/master_theses/alette-fritzon... · Introducing Product and Process Visualizations to ... and Process Visualizations

Work visualizations

Work visualizations

Designing Group Annotations and Process Visualizations for Role-Based Collaborationzhang.ist.psu.edu/pdf/SBP08.pdf · 2008-03-27 · Designing Group Annotations and Process Visualizations

Designing Group Annotations and Process Visualizations for Role-Based Collaborationzhang.ist.psu.edu/pdf/SBP08.pdf · 2008-03-27 · Designing Group Annotations and Process Visualizations

Designing with Data: Creating Visualizations to Tell Your Story

Designing with Data: Creating Visualizations to Tell Your Story

visualizations 12_2012

visualizations 12_2012

Designing Functional Visualizations Aircraft …...Designing Functional Visualizations for Aircraft Systems Status Displays Nick Dinadis and Kim J. Vicente Department of Mechanical

Designing Functional Visualizations Aircraft …...Designing Functional Visualizations for Aircraft Systems Status Displays Nick Dinadis and Kim J. Vicente Department of Mechanical

Design of Visualizations for Human-Information Interaction · utility can be found when designing visualizations with interactive possibilities in mind—in other words, designing

Design of Visualizations for Human-Information Interaction · utility can be found when designing visualizations with interactive possibilities in mind—in other words, designing

1/20 Remco Chang (Computer Science) Paul Han (Tufts Medical / Maine Medical) Holly Taylor (Psychology) Improving Health Risk Communication: Designing Visualizations.

1/20 Remco Chang (Computer Science) Paul Han (Tufts Medical / Maine Medical) Holly Taylor (Psychology) Improving Health Risk Communication: Designing Visualizations.

First Day Adminmweigle/courses/cs891-f15/01a-Admin.pdfShow Me the Numbers: Designing Tables and Graphs to Enlighten, Stephen Few Free (on campus) Designing Data Visualizations, Steele

First Day Adminmweigle/courses/cs891-f15/01a-Admin.pdfShow Me the Numbers: Designing Tables and Graphs to Enlighten, Stephen Few Free (on campus) Designing Data Visualizations, Steele

Designing Effective Algorithm Visualizations Sami Khuri Department of Mathematics and Computer Science San José State University .

Designing Effective Algorithm Visualizations Sami Khuri Department of Mathematics and Computer Science San José State University .

BETWEEN AESTHETICS AND UTILITY: DESIGNING AMBIENT INFORMATION VISUALIZATIONS Tobias Skog Sara Ljungblad Lars Erik Holmquist.

BETWEEN AESTHETICS AND UTILITY: DESIGNING AMBIENT INFORMATION VISUALIZATIONS Tobias Skog Sara Ljungblad Lars Erik Holmquist.

Advanced Visualizations

Advanced Visualizations

Best Practices in Data Visualizations - MicroStrategy · Best Practices in Data Visualizations Why We Visualize Understanding Data Visualizations Enhancing Visualizations Visualization

Best Practices in Data Visualizations - MicroStrategy · Best Practices in Data Visualizations Why We Visualize Understanding Data Visualizations Enhancing Visualizations Visualization