Information Systems

School of Computer & Information Sciences

ITS530 Analyzing and Visualizing Data

Summary

10/7/18

Analyzing and Visualizing Data Summary

1

Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd. ISBN: 978-1-4739-1214-4

10/7/18

Analyzing and Visualizing Data Summary

2

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Chapter 1 Defining Data Visualization

Definition for Data Visualization

Data

Representation

Presentation

Understanding

Process of Understanding

Perceiving

Interpreting

Comprehending

Principles of Good Visualization Design

Trustworthy

Trust vs Truth

Trust Applies Throughout the Process

Accessible

Useful

Understandable

Unobtrusive

Elegant

Aesthetic

Thorough to last detail

As little design as pssible

10/7/18

Analyzing and Visualizing Data Summary

3

Chapter 2 Visualization Workflow

Four Stages of the Visualization Workflow

Formulating your brief

Working with data

Establishing your editorial thinking

Developing your design solution

Formulating your brief:

Planning

Defining

Initiating your project

Working with data:

Going through the mechanics of gathering

Handling and preparing your data

Establishing your Editorial Thinking

Defining what you will show your audience.

Developing your design solution:

Considering all the design options

Beginning the production cycle.

10/7/18

Analyzing and Visualizing Data Summary

4

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Chapter 3 Formulating your Brief

What is a Brief?

A brief represents a set of expectations and captures all the relevant information about a task or project

Establish your Projects Context

Curiosity/Intrigue: personal, stakeholder, audience, anticipated, potential intrigue

Circumstances

People – Stakeholders, audience

Constraints – Pressures, rules

Consumption (Frequency, Setting)

Deliverables (Quantity, Format, Skills, Technology)

Defining your Projects Purpose

Establish your Project’s Vision

Curiosity, circumstances, consumption, deliverables establish the purpose map

Use “The Purpose Map”

The best fit solution to facilitate the desired purpose!

Experience (Explanatory, Exhibitory, Exploratory)

Tone (Reading, Feeling)

10/7/18

Analyzing and Visualizing Data Summary

5

Chapter 4 Working with Data

Data Assets and Tabulation Types

Qualitative (Textual, Nominal, Ordinal)

Nominal (e.g. Gender) Ordinal (e.g. Survey Q. 1-5)

Quantitative (Interval, Ratio)

Data Acquisition (different sources)

Curated by you

Curated by others (downloaded from web, )

Data Examination

Physical properties: Type, size, condition, age

Meaning: Phenomenon, completeness

Data Transformation

Clean: Resolve data quality

Create: New calculations, conversions

Consolidate Any other data?

Data Exploration

Visual and Statistical Techniques

See data quality

Insights?

10/7/18

Analyzing and Visualizing Data Summary

6

Chapter 5 Establish your Editorial Thinking

Angle

Must be relevant in its potential interest for your audience.

Must have sufficient quantities to cover all relevant views – but no more than required.

Framing

Applying filters to your data to determine the inclusion and exclusion criteria.

Framing decisions must provide access to the most salient content but also avoid any distorting of the view of the data.

Focus

Which features of the display to draw particular attention to?

How to organize the visibility and hierarchy of the content?

10/7/18

Analyzing and Visualizing Data Summary

7

Chapter 6 Data Representation

Introducing Visual Encoding

All Charts based on Marks and Attributes

Marks represent

records for aggregation

Points, lines, areas, shapes, forms

Attributes

Variable values held for each record

Properties: Size, color, connection

Chart Types

Visual encoding is fundamental

Chart types are practical application

Five Families of Chart Types

Categorical

Hierarchical

Relational

Temporal

Spatial

Data Visualization Workflow

Formulate your brief

Work with Data

Establish Editorial Thinking

Develop Design

Trustworthy Design

Accessible Design

Elegant Design

10/7/18

Analyzing and Visualizing Data Summary

8

Chapter 7 Interactivity

Data Adjustments affect what is displayed

Framing,

Navigating,

Animating,

Sequencing,

Customizing

Presentation Adjustments

Focusing,

Annotating,

Orientating

Data Visualization Workflow

Formulate your brief

Work with Data

Establish Editorial Thinking

Develop Design Solution

Trustworthy Design

Accessible Design

Elegant Design

10/7/18

Analyzing and Visualizing Data Summary

9

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Chapter 8 Annotation

Project Annotations helps viewers

Understand project purpose, usage; may include:

Headings, titles, sub-titles, section headings

Introductions: background, aims of the project

User guides: advice or instructions on how to use

Multimedia: add images, videos or illustrations

Footnotes: potentially include data sources, credits, time/date, usage info, references

Chart Annotations

Chart Apparatus: axis lines, grid lines, tick marks

Labels: axis labels, value labels

Legend: detailed keys for color or size associations

Reading guides: instructions on how to read chart

Captions: drawing out key findings

Typography: choice of font-size hierarchy, legibility of type

ITS530 Chapter 8

10

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Chapter 9 Color “Chapter Overview”

Color design decision – most immediate impact!

Key: Meaning first and decoration second

9.1 Overview of Color Theory

RGB – Red, Green Blue – form screen colors

CMYK – Cyan, Magenta, Yellow, Black – print

Hue – the true color

Saturation – colorfulness of Hue

Lightness contrast of a different Hue

Other models (HSV, HSI, HSB, HCL)

Features of Color: Data Legibility

Data Legibility

Editorial Salience

Functional Harmony

Data Legibility

Nominal (Qualitative)

Ordinal (Qualitative)

Interval & Ratio (Quantitative)

9.3 Editorial Salience

9.4 Functional Harmony

Interactive features, annotation, composition

9.5 Visualization Workflow

ITS530 Chapter 9

11

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Chapter 10 Composition

Features of Composition

Project Composition

Chart Composition

10.1 Project Composition

Wireframing or storyboarding

Wireframing involves sketching the layout and size of all the major content across a single-page view

Storyboarding is when you want to establish a high level feel for the overall architecture of content.

10.2 Chart Composition

Chart Size

Chart Scales

Chart Orientation

Chart Value Sorting

Ordinal (Qualitative)

Interval & Ratio (Quantitative)

ITS530 Chapter 10

12

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Chapter 11 Visualization Literacy

Before you begin

Setting, Visual Appeal, Relevance

Initial Scan?

Outside the Chart

The proposition – Format, Shape and Size

What is the project about

What Data?

Interactive Function?

Inside the Chart

Perceiving – Comprehending – Understanding

A More Sophisticated Consumer

Appreciation of context,

Overview then details

Capabilities of the Visualizer

Initiator – overseas the project

Data Scientist – the data miner

Journalist is the storyteller

Computer Scientist is the executor

Designer is the creative one

Cognitive Scientist is the thinker

Communicator is the negotiator

the Project manager

ITS530 Chapter 11

13

http://www.visualisingdata.com/2012/06/article-the-8-hats-of-data-visualisation-design/

Stage 1

Formulating your

Brief

Stage 2

Working with

Data

Stage 3

Establish your Editorial Thinking

Stage 4

Develop your

Design Solution

Questions?

10/7/18

Analyzing and Visualizing Data Summary

14

Order now and get 10% discount on all orders above $50 now!!The professional are ready and willing handle your assignment.

ORDER NOW »»