Unit 6 Storytelling Flashcards
what is data visualization
Data visualization – the practice of representing data visually
4 use cases for data visualization
to record
To analyze and reveal: Reveal trends / patterns of data
To confirm
To communicate
to transform information with the influence of purposeful design and analytics with the intent of encoding and conveying information otherwise difficult to understand in a meaningful way
Sometimes data visualization is the only way to see and understand data – especially big data
Categories of Data visualization
Exploratory
Explanatory
Hybrid
The Shaffer 4 C’s of Data Visualization
Clear – easily seen; sharpy defined
- Who’s the audience?
- What is the message?
- Clarity more important than aesthetics
Clean – thorough; complete
- Labels, axis, gridlines, formatting, right chart type, color choice, etc.
Concise – brief but comprehensive
- Not minimalist but not verbose
Captivating – to attract and hold by beauty or excellence
- Does it capture attention? Is it interesting? Does it tell a story?
Tufte’s Five Laws of Data-Ink:
- Above all else show the data
- Maximize the data-ink ratio
- Erase non-data ink
- Erase redundant data-ink
- Revise and edit
Dashboard Dos
Content position and size should match importance and frequency of use
Use color and formatting to draw attention where needed, rather to decorate
Visually associate data and content that is related
Use the needs of the user to drive the layout, rather than forcing layout with an inflexible grid
Storytelling with Data process
- Understand the context: Who is your audience? What do you need them to do? How will data help make your point? Articulate your big idea? Create a storyboard
- Choose the approval visual: draw it, iterate and look at data in different ways, seek feedback
- eliminate clutter: identify unnecessary elements and remove them (leverage white space, align elements, avoid diagonal components), lack visual order, Gestalt principle
- draw attention to where you want it
- think like a designer: affordances, accessibility, aesthetics, acceptance
- tell a story
Gestalt principle
Proximity – when things are close together they appear to be more related
Similarity – when things appear to be similar to each other, they will automatically be grouped together
Enclosure – we perceive objects enclosed as groups
Closure – when we view a shape, we prefer when it is complete
Continuity – if an element is arranged on a curve or a line, it is perceived to be more related than other elements not on the line or curve
Connection – connected are perceived more related