Practical visualisation: Interpreting abstract data/information into comprehensible graphics
Visualization is the method to represent abstract data or idea as graphics that can aid in understanding the meaning of such data or idea.
A number of practical methodologies can be used in represent data, ideas, information in easy-to-understand visual formats in daily work and life. For example, presentation slides, infographics, and UI design all make communication significantly efficient.
Methodology
First of all, a design brief can help to define the goal. Then, the methodology contains two major works: analyzing and presenting.
In the analysis phase, understanding the data/information and determining its characteristics is the key. The following characteristics are the fundamentals to start with:
- Time – sequence, e.g. timeline or journey map
- Location – site, route, area, or space, e.g. map, object distribution, or network
- Category – groups, e.g. industries or human resource
- Hierarchy – parent/child relationship or tree structure, e.g. organization chart
- Mix – more than 2 attributes, e.g. workflows or supply chain chart
Distinguishing the key point and highlighting the necessary piece of information or concept also help audiences grasp the primary message.
Presentation in this context means to design appropriate stylistic interpretation of the meaning:
- Based on the characteristics, sketch the logic behind, e.g. liner, 2D/3D space, similarity/difference, structure… etc.
- Find metaphor or utilize geometry shape
- Design shape (including layout and scale), color, and texture; emphasize the key point by contrast
- Illustrate context if needed
Sometimes this could be as simple as choosing a chart or graph type. Searching for examples is also a good method to find inspiration.
Last, iteration is the only way to get closer to being perfect.
Use Cases
Not only successful cases, I would also like to share some common mistakes I made, which might save you some time to avoid the unexpected result. Ask the following questions or consider these points:
- Who’s the audience?
- Wrong data/information type
- Overkill vs. over simplifying?
- Using color carefully
Major take-away for attendees
After this session, take this practical methodology with some guidance and reference to apply in work and/or life, whether you are a visual designer or not.
