檳榔嶼

4x4 model for knowledge content

  1. Getting the right people to the right content at the right time
  2. Explosion of content
  3. People are generally empowered by choice and access to information online : question the accuracy

Channel Your Audience : Feel their pain, want to be them
  1. Culture
  2. Level of Expertise
  3. Consumption Context/Channel
  4. Accessibility
  5. The Believers or Skeptics?
  6. Action

So what is data visualization

ASK : what makes a good data visualization


Visual perception
  1. Figure/Ground : 
  2. Proximity
  3. Similarity
  4. Parallelism
  5. Common Fate
  6. Closure and Continuity

Understanding (Your) Data
  - Well enough to spot mistakes
  - Without succumbing to bias
  - 3 Key Concepts
    1. Mean/Median

    2. 

    3. 



Explatory
  1. Explantory

  - Explortory

The six Ws


Three more Ws :
  1. What's wanting (missing)?
    1. Keep calm and power on
    2. Go back to the source
    3. Generate more data
  2. What in the world?
    1. More data from other sources
    2. Provide context
    3. Complete the picture
  3. What's wild?
    1. Unique visual approach
    2. Unexpected contextual data
    3. Out-of-the-box interactive experience

Explore your data : Visual exploration
Explore your data : Indexes and ratios
Convert your data : Indexes and ratios
  - Common Data Adjustments
    1. Calculating indexes and ratios
    2. Calculating percentiles
    3. Aggregating
    4. Regrouping
    5. Converting from Excel/CSV to JSON/XML/MySQL

Convert your data : Percentiles
Convert your data : Aggregating
Convert your data : Group
Convert your data  : Data formats