DATA VIZ

IE, Sandra Becker MAD 05/2018

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INTRO DATAVIZ

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WHY DO WE NEED DATA VIZ?

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"THE PURPOSE OF DATA VISUALIZATION ARE INSIGHTS NOT PICTURES."

BEN SCHNEIDERMAN

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"LET MY DATASET CHANGE YOUR MINDSET."

HANS ROSLING

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"IT'S NOT WHAT YOU LOOK AT THAT MATTERS, IT'S WHAT YOU SEE ."

HENRY DAVID THOREAU

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"ABOVE ALL ELSE SHOW THE DATA ."

EDWARD TUFTE

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WHAT IS DATA VIZ?

 

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BIG

DATAVIZ

 

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REALTIME

DATAVIZ

 

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DYNAMIC

DATAVIZ

 

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SMART

DATAVIZ

 

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DIMENSIONAL

DATAVIZ

 

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ART

DATAVIZ

 

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DATAVIZ PRACTICE

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HOW TO CREATE A DATA VIZ?

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#1 OBJECTIVE DEFINE

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#2 DATA EXPLORE

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#3 IDEA DESIGN

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VIZ TYPES

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CHOOSE THE RIGHT VIZ TYPE?

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VIZ ENCODING

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#4 TOOL EXECUTION

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PROGRAMMING

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LOCATION

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EXPLORE

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#5 RESULT REVIEW

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U X

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HUMAN PERCEPTION

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GOODVIZ

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BADVIZ

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WTFVIZ

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ALGORITHM VIZ

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ASSIGNMENT01

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PART01

VIZEVALUATION

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01 CHOOSE A DATA VIZ PROJECT

02 DISCUSS THE QUESTION CATALOGUE

03 SUMMARISE YOUR EVALUATION

 

 

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Q1 WHAT IS THE OBJECTIVE?

Q2 WHAT IS THE CLASS (DATA VIZ OR INFOGRAPHIC)?

Q3 WHAT IS THE VIZ TYPE, IS THE CHOICE ACCURATE?

Q4 WHAT VIZ ENCODING ARE USED, IS THE CHOICE ACCURATE?

Q5 WHAT ARE THE POSSIBILITIES TO INTERACT?

Q6 ANY PROBLEMS REGARDING HUMAN PERCEPTION?

Q7 ANY IMPROVEMENTS REGARDING THE UX?

Q8 IS IT A GOOD DATA VIZ? WHY/WHY NOT?

 

 

 

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PART02

VIZCREATION

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01 CHOOSE ONE EXAMPLE

02 DEFINE OBJECTIVES & EXPLORE THE DATA

04 TRY DIFFERENT VIZ TYPES AND VIZ ENCODINGS

05 CHOOSE THE MOST ACCURATE DATA VIZ

06 SUMMARISE YOUR CREATIONS

07 EXPLAIN THE REASONS FOR YOUR CHOICE 




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PERCEPTION DESIGN

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ANSCOMBE'S QUARTET

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SEEING = UNDERSTANDING

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WEBER'S LAW

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PRESENTING TRUTH

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#1 show the data

#2 tell the truth

#3 help the viewer to think about the information rather than the design

#4 encourage the eye to compare the data

#5 make large dataset coherent

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COLOR

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danger

passion

blood

love

agressive

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environment

nature

permission

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sun

happiness

playful

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water

cool

quietness

hope

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death

luxury

sophistication

 

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wedding

pure

innocent

 

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POSITION

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REDUNDANT

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INTERACTIVITY

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NAVEGAR

IDENTIFICAR

COMPROBAR

REDUCIR

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LOCATION VIZ CARTO

PART 1

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VISUALIZE ANALYSE VISUALIZE ANALYSE VISUALIZE ANALYSE VISUALIZE

VISUALIZE ANALYSE VISUALIZE ANALYSE VISUALIZE

VISUALIZE ANALYSE VISUALIZE ANALYSE 

VISUALIZE ANALYSE VISUALIZE

VISUALIZE ANALYSE 

VISUALIZE

STOP!

 

 

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HOW TO DEAL WITH BIG DATASETS?

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AGGREGATE HEXAGONAL BINNING & CLUSTERING

FILTER EXTREM & TARGET GROUPS

STYLE SIZE & OPACITY

 

 

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01 CUSTOMER CONCENTRATION HEATMAP

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02 EXTREM GROUP    FILTER

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03 SPEND SEGMENTS 

CLUSTERS

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04 TARGET GROUP

STYLING

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ALL IN 1 MAP

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LOCATION VIZ CARTO

PART 2

SHOP AREA PERFORMANCE

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01 TARGET GROUP

STYLING BY VALUE & ICON

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02 AREA OF INFLUENCE

CREATE TRAVEL OR DISTANCE BUFFERS

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02 AREA OF INFLUENCE

INTERSECT WITH THE SECOND LAYER & AGGREGATE & STYLE BY VALUE

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ASSIGNMENT02

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01 CHOOSE A DATASET

02 EXPLORAR THE DATA USING CARTO

03 CREAT ONE FINAL MAP & INTERPRETATION

04 EXPLAIN YOUR PROCESS AND CHOICE

 

 

 

 

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DYNAMIC VIZ D3.JS

PART 1

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DYNAMIC VIZ D3.JS

PART 2

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EXPLORATIVE VIZ GGPLOT2

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NETWORK VIZ

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VIZ STORYTELLING

Part 1

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VIZ STORYTELLING

Part 2

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FUTURE VIZ

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THANK YOU.

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