Vizhealth

My Experimentation (what I tried, what changed)

Here are sample experiments I did and how the visualizations responded 

Experiment 1: Low‐Risk Scenario

• Entered low values 

• The icon array reflected this: few icons are “highlighted” to show risk. Most are not.

• The visual makes clearly obvious: “out of 100, only X might have event,” which gives a quick sense of magnitude.

Experiment 2: Higher Risk Scenario

• Increased age / added risk factors (smoker, high cholesterol).

• The icon array then shows many more highlighted icons. The contrast (highlighted vs non‐highlighted) becomes more visually striking.

What Changes in the Visualization:

• The number of icons highlighted (the numerator) changes, obviously.

• The proportion / pattern in the array: how icons are placed matters for perceiving the cluster / spread.

• The color / shading contrast becomes more meaningful when proportion is larger.

• Possibly layout changes (if many are highlighted) make the visual more dense, which can affect how easy it is to quickly see the risk.

using this site was a great way to view the different ways the graph changes according to the information I provided. below I added the low factor risk to show the graph I mentioned. 

Below is the Icon Array that I have created to show Men with Color blindness, I choose this one because my best friend is color blind and I was wondering how rare that might be