Big data visualisation

Rung András’s presentation at Data-driven Leadership Bootcamp.
Find below the excerpt of the presentation.

You can download the presentation here

DEFINE YOUR AUDIENCE

• What do colours mean?
• Which direction the reader used to reading?
• Which icons is the user familiar with?
• Readers are inside or outside industry?

 

CONTEXT OF USE

• What information do readers need in order to be successful?
• How much detail do they need?
• How long does she have to make it effective?
• Service design, holistic approach

 

UNDERSTANDING THE DATA STRUCTURE

• Is it a time-series? A hierarchy?
• How many dimensions does it have?
• Which are the most important ones?
• What sort of relationships do they have (e.g., one-to-one or many-to-many)?
• How variable are they?
• Are the values categorical? Discrete or continuous? Linear or non-linear? How are they bounded?
• How many categories are there?

 

DATA TYPES

• Nominal
• Categorial
• Ordinal
• Interval
• Temporal
• Geographical
• Relational

 

DEFINE BETTER GO ALS

• Show the sales figures / Show which product lines are performing the best and the worst in each region, for each of the last five quarters
• Compare the demographics of Twitter and Facebook users / Compare the ages, education, and income levels of Twitter and Facebook users
• Show a timeline of the performance of every NFL team for the 2011 season / Allow users to compare individual performance metrics for any pair of teams or for the entire league for the 2011 season

 

REPRESENATION AND REALITY

• Inherent properties
• Learned conventions

 

WHAT IS A DASHBOARD?

• Visual display of data
• Monitor conditions
• Facilitate understanding

 

PSYCHOLOGICAL MOTIVATION

• Desire to control
• Short term memory / single screen
• Option to drill down
• Splitting info between tabs