tackling the challenge of data visualisation

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Tackling the challenge of data visualisation Scott Abbott 02 Aug 2016

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Page 1: Tackling the challenge of data Visualisation

Tackling the challenge of data visualisationScott Abbott

02 Aug 2016

Page 2: Tackling the challenge of data Visualisation
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3Source: Techcrunch

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Discussion

What is the difference between data visualisation and infographic

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5Source: http://readwrite.com/2011/01/07/difference-between-datavisualization-infographics/

Infographic“I would say that infographics are really a subset of data/info visualisations. An infographic is static by definition. They are graphics.”

Data visualisation“A data/info visualisation may be static, but most often these are interactive and allow the viewer to explore the data/information in different ways.”

Kim Rees, partner at Periscopic.com

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Infographic Explanatory

“What story am I trying to tell”

Data visualisation Exploratory

“What information does the user need”

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Discussion

Why bother visualising?

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Drawing Comparisons Spotting Trends Creating Connections

Breakdowns Managing Vast Quantities

Tracking Progress

What is it used for?

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Linear

HierarchicalNetwork

Types of visualisation

Parallel

to show connections

varies over time or in relation to another factor

to show groupings and importance

to show reach, frequency or shares of a whole

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Gather user needs

Examine data

Understand context

What data is available?

What story does the data tell?

What goals does the user have?

What jobs need to be done?

Why the heck are they here?

Where is it going to appear?

What is the most important information?

Are there any other datasets a user might need?

Start by asking the right questions

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Example

Spending data

A new banking site is looking to help those who struggle with planning, budgeting and financial understanding, such as students.

banko.

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Example

Spending data

“I just don’t know where my money goes…”

Technologically savvy

Financially… not

Main device is for banking is mobile

The user, Sam the student

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Example

Spending data

Historical spending habits

The data

When and where purchases were made

Type of purchase made

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Example

Spending data

Plans later of an app for OSX and Android

The context

Most important information is knowing a breakdown of spending

First delivery will be a website

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Example

Spending data

User Wants to see at a glance a

breakdown of my spending over the month

Data Historical spending habits,When and where purchases

were made, categorisation of purchases

Context Most important information is

current balance, plus predicted balance. Most important information is knowing a breakdown of spending

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5 quick tips

Creating deep interesting Visualisations

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Tip 1 Want more, get more

Time exploring

Info

rmat

ion

det

ail

Static table Interactive visualisationStatic chart

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1. Want more, get more Most important information should be available at a glance

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Yahoo WeatherAt a glance

Current temperature

Current conditions

Highs and lows

Dark skiesAt a glance

Current temperature

Current conditions

Highs and lows

Temperature over next few hours

Chance of rain

Level of rainfall

Fresh airAt a glance

Current temperature

Current conditions

Highs and lows

Temperature over next few hours

Chance of rain

Highs over next few days

Conditions over next few days

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1. Want more, get more Dig in

Source: https://interactivemap.marksandspencer.com

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25Source: https://interactivemap.marksandspencer.com

Page 26: Tackling the challenge of data Visualisation

26Source: https://dribbble.com/shots/2817755-Analytics-Exploration/attachments/577962

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27Source: https://finviz.com/map.ashx?t=sec_all

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1. Want more, get more Tables aren’t evil

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Janus housing limited

TFL Contactless

750.56

3.50

TFL Contactless 3.50

Starbucks 4.92

Tesco 40.51

Janus housing limited

TFL Contactless

750.56

3.50

TFL Contactless 3.50

Starbucks 4.92

Tesco 40.51

25 July 2016

25 July 2016

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Tip 2

Encourage exploration

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31Source: http://visual.ly/london-food-hygiene?view=true

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32Source: http://poly-graph.co/timeless/ Matt Daniels

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33Source: http://polygraph.cool/youtube-election/ Matt Daniels and Jennifer Lee

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2: Encourage exploration

Create meaningful connections

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35Source: Pillow App

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2: Encourage exploration

Allow manipulation

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Tip 3

Design for digital (not desktops)

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Landscape, exploration

Portrait, information

Source: Pillow App

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3: Design for digital Touch, tap, click

Source: Etch https://dribbble.com/shots/808569-Social-Analytics-App-Desktop/attachments/82808

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3: Design for digital Real estate is expensive

1 Source: https://dribbble.com/shots/2251033-Bank-App

2 Source: https://dribbble.com/shots/2485100-Health-App-steps-animation

1 2

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3: Design for digital Adapt

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Tip 4

Data destroys designs

90%

2%2%1%2%12%

13%

34%

41%

Design Reality

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4: Data destroys designs

A bajillion variations

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4: Data destroys designs

Fail fast, fail early

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Tip 5

Use colour cleverly

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5. Use colour cleverly

Connect data and Visuals

Janus housing limited

TFL Contactless

750.56

3.50

Tesco 40.51

25 July 2016

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5. Use colour cleverly

Check your palettes

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51Source: Jeffrey Shaffer http://www.tableau.com/about/blog/2016/4/examining-data-viz-rules-dont-use-red-green-together-53463

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Bonus tip

Tools

d3js.org

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Workshop

Define Intelligent visualisations for Incredifit

incredifit.

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Data set 1 Incredifit nutritional log

Data available:

• Recommended daily intake of various nutrients and calories

• User’s calorie and nutrient goal

• User’s food consumption

• Other user’s intake including friends

• User’s exercise plan & exercise log

Goals:

To see complete log of my nutritional inputs and my progress towards my nutritional goals both today and across various time periods.

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Data set 2 Incredifit exercise plan

Data available:

• Recommended exercises for various parts of the body (ie. Cardio, Arms etc)

• User’s previous exercise logs

• User’s fitness goals

• Other user’s exercise including friends

Goals:

To see complete log of my fitness and exercise goals, to track against them and see my progress.

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Data set 3 Incredifit sleep tracker

Data available:

• Users sleep patterns and quality of sleep per night

• User’s calorie and nutrient goals

• User’s food consumption

• User’s exercise plan

• Users exercise plan & exercise log

Goals:

To see complete log of my sleeping patterns, see the quality of my sleep, and the effect certain parts of my lifestyle may be having on my nights.

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Data set 4 Incredifit stop-smoking aid

Data available:

• Number of cigarettes smoked on a daily level

• Money spent

• User’s exercise log

• User’s sleeping log

• Average risk of smoking related diseases

Goals:

To see track and help me in my stopping smoking journey. To see the improvements on my health and on my finance.

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Dashboard Incredifit health overview dashboard

Data available:

• Users nutritional log

• Recommended daily intake of various nutrients and calories

• User’s calorie and nutrient goals

• User’s food consumption

• Users exercise data

• Recommended exercises for various parts of the body (ie. Cardio, Arms etc)

• User’s previous exercise logs

• User’s fitness goals

• Users sleep tracker

• Users health data

• Stop-Smoking progress

Goals:

To see overview of my total health and fitness statistics.

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3. Design for digital

4. Data destroys designs

2. Encourage exploration

1. Want more, get more

5. Use colour cleverly

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Go create beautiful, usable and above all useful data visuals.

60

Thanks Scott Abbottscottoabbott

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3. Design for digital

4. Data destroys designs

2. Encourage exploration

1. Want more, get more

5. Use colour cleverly

Most important information should be available at a glance | Dig in | Tables aren’t evil

Create meaningful connections | Allow manipulation

Touch, tap, click | Adapt | Real estate is expensive

A billion different variations | Fail fast, fail early

Connect data and visuals | Check your colours

5 quick tips

Creating deep interesting Visualisations

Scott Abbottscottoabbott