Wearable cameras will be ubiquitous. We’ll barely notice.
By 2020, 80% of the world will be in possession of a physically unlimited camera attached (mostly) to an instantaneous global image distribution network. This will also be the screen that allows access the visual experience of the rest of the world.
Smartphones still require a complex series of time-consuming gestures to create and distribute an image. An exponentially increasing appetite for images, as a practical matter, requires exponentially increasing creation. Wearable cameras will take care of that.
But what happens when images are integrated as fully into our reality as time?
Source: As We Become Cameras — Medium
Unique data visualizations are more memorable, and add variety for the audience — even the most clear and straightforward visualization types lose their appeal when repeated over and over again. As visual literacy increases in the general population, data visualization designers will need to continually extend their knowledge of and proficiency across a widening range of visualization approaches to grow their skills alongside audience familiarity and expectations. Even more importantly, broad visualization know-how is essential for matching the data visualization type to the data available, the story to be told, and the question being answered…
Where to start learning if you don’t know the basics.
- Identifying and Framing the Analytical Problem
- Working with Quantitative People
- Understanding Different Types of Data and Their Implications
- Understanding Different Types of Analytics and Their Implications
- Exploring Internal and External Uses of Analytics