Big data visualisation
Find below the excerpt of the presentation.
You can download the presentation hereDEFINE 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?
- 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
- 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?
- Nominal
- Categorial
- Ordinal
- Interval
- Temporal
- Geographical
- Relational
- 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
- Inherent properties
- Learned conventions
- Visual display of data
- Monitor conditions
- Facilitate understanding
- Desire to control
- Short term memory / single screen
- Option to drill down
- Splitting info between tabs
About the authors
A real veteran of UX by having 18 years of experience. Strong focus on business needs and innovation. András Rung has worked for various institutions and companies since 2002. He is the co-author of the first Hungarian usability book and author of the usability blog Ergomania.
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