What is Data Storytelling?

Data storytelling is not data visualization

Data storytelling connects your narrative with data visualization

Data Storytelling makes data meaningful for the audience

It works on the why aspect of data - why is the data relevant to your audience? What should they do with it?

Current context of data revolution. There is too much information. If you want to make an impact, you have to contextualize your data.

Data storytelling is personal, relevant and useful

Concepts

 

Exploratory/Explanatory

Iconic/Short Term/Long Term

Simple Text

Tables?

Heat Map: Colour Intensity

Scatter Plot: Relations

Line: Time/Change

Slope: Change between two points

 

BAR GRAPHS

Visualise

Effort in processing?

 

Attention is divided?

Visualise

Heatmapping - Great for picking up big differences, not so great for minor ones

 

Bar Graph: See the change

 

Line Graph: Best for end point comparisons

 

 

 

Visualise

Avoid clutter to reduce cognitive load

 

Leverage white space and align elements

 

Use contrast strategically - tell your audience where to look

 

Gestalt Principles: Proximity, Similarity, Enclosure, Closure, Continuity and Connection

 

 

 

Gestalt Principles

Proximity: Cluster, Tie in

 

Similarity: Of colour. Visually tie data points to description

 

Closure: We automatically fill in gaps between elements. (IBM, WWF)

 

Common Region: Group elements in the same closed region

 

UX/UI

 

Declutter

Declutter

Declutter

Declutter

 

Data over time... line graph maybe?

Less ink, cleaner design

24 bars - 2 lines

Put data labels next to lines

Orient graph title

Remove colour from title

Put the goal in the graph!

Focus attention on takeaways

 

Pre-attentive Attributes

Orientation

Shape

Line Length

Line Width

Size

Curvature

Added Marks

Enclosure

Hue

Intensity

Spatial Position

Motion