Data Visualization Practitioner's Guide

Name: Data Visualization Practitioner's Guide
Author: Michel Dekker

EDF certification handout

E-book Pdf met watermerkbeveiliging Engels 2024 1e druk 9789401811712

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To harness the potential of data, it is crucial for data professionals to present it in a visual format that is both interactive and comprehensible to management and decision makers. The human brain has a strong inclination towards visual information, making data visualization an incredibly powerful tool for the efficient analysis, interpretation, and communication of data.

The Data Visualization Practitioner’s Guide, functions as textual add on to a Certified Data Visualization Course. The EDF Data Visualization certification demonstrates qualified professionals that have mastered the required skills to visualize data effectively, ensuring that important results will not escape their notice.

The training consists of six modules, each with its own weight towards the certification exam:
- Introduction to the data visualization field and basic quantitative thinking.
- Human perception 20%; About the principal components of visual perception, to optimize our visualizations for human consumption.
- Visualizing data 30%; About applying the knowledge of our visual perception to data visualization and the introduction of the CHRTTS model to select chart types.
- Data viz design 25%; About the detailed choices we need to consider when designing our visuals. We also look at the management dashboard and the important role of color.
- Storytelling 15%; How to make use of our capacity to tell and consume stories to process data insights.
- Workflow 10%; How to implement the effective data visualization practices in our daily work.

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Specificaties

ISBN13:9789401811712

Taal:Engels

Bindwijze:e-book

Beveiliging:watermerk

Bestandsformaat:pdf

Aantal pagina's:102

Uitgever:Van Haren Publishing

Druk:1

Verschijningsdatum:15-5-2024

Hoofdrubriek:IT-management / ICT

Serie:Courseware

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Inhoudsopgave

1 COURSE OVERVIEW 4

2 INTRODUCTION 8
2.1 Why do we visualize data? 8
2.2 Quantitative thinking 12
2.2.1 Correlation vs causation 12
2.2.2 The power of context 13
2.2.3 Summarizing data 14
2.2.4 Charts 15

3 HUMAN PERCEPTION 17
3.1 Pre-attentive attributes 18
3.2 Memory 21
3.3 Gestalt principles 22
3.4 Thinking, fast and slow 23

4 VISUALIZING DATA 25
4.1 Start with WHY?! 25
4.2 Table or chart? 26
4.3 CHRTTS 27
4.3.1 Categorical 28
4.3.2 Hierarchical 29
4.3.3 Relational 30
4.3.4 Temporal 31
4.3.5 Tabular 33
4.3.6 Spatial 34

5 DATAVIZ DESIGN 36
5.1 Categorical 36
5.1.1 Bar/column chart 36
5.1.2 Bullet graph 40
5.1.3 Don’t use a third dimension! 41
5.2 Hierarchical 42
5.2.1 Pie chart 42
5.2.2 100% stacked bar/column chart 44
5.2.3 Tree map 45
5.3 Relational 45
5.3.1 Scatter plot 46
5.3.2 Merged bar chart 47
5.3.3 Bubble chart 48
5.3.4 Heat map 49
5.4 Temporal 49
5.4.1 Line chart 50
5.4.2 Sparkline 52
5.5 Tabular 53
5.5.1 Table 53
5.5.2 Fonts 55
5.6 Spatial 58
5.6.1 Choropleth map 59
5.6.2 Dot map 59
5.7 Color 60
5.8 Designing management dashboards 64
5.8.1 Visual hierarchy 65
5.8.2 Common mistakes 67

6 STORYTELLING 72
6.1 Explore to explain 72
6.1.1 The data cut 75
6.1.2 The data cameo 76
6.1.3 The data decoration 77
6.2 Storytelling arc 78

7 WORKFLOW 80
7.1 Effective approach 81
7.2 Five Design Sheet Method 82
7.2.1 Sheet 1: Brainstorm 82
7.2.2 Sheets 2,3,4: Initial designs 83
7.2.3 Sheet 5: Realization design 83
7.3 Style guide 84

8 FURTHER READING 85

9 GLOSSARY 86