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 GOALS

  • 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

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