VizHealth

 Data Visualization with Vizhealth

Vizhealth

Vizhealth is a website used to make data visualizations for experiments.  Like other tools, it uses different colors and images to convey the story. I used the Risk Calculator and Icon Array Generator to create some visuals. They both work well for different forms of data visualization, and can help tell the story behind a data set. 

Risk Calculator

The risk calculator determines the probability of developing cardiovascular disease in the near future. They ask specific questions to determine gender, height, weight, age range, blood pressure level, prior history of diabetes, and if you are a smoker or not. There are very low, low, moderate, and high risk categories of cardiovascular disease. The range is from 0-40% on the X-axis to determine the risk factor's percentage. At high risk, it advises patient to see a doctor. In Figure 1.1, the age range is the lowest possible on the menu (30-34), and this person is female, not a smoker of have any prior history with high blood pressure or diabetes, and measures 5'9'' weighs 165 lbs. She has a very low risk of developing cardiovascular disease. In Figure 1.2, the person is male, ages 45-49, semi high cholesterol, 130-139 blood pressure, a smoker, has diabetes, and same height/weight. He has a moderate risk of developing cardiovascular disease. In Figure 1.3, this person is a male, ages 60-64, high cholesterol, 130-139 blood pressure, taking medication, a smoker, and has diabetes. He came up with the highest risk of developing the disease.

The risk calculator is an effective tool to determine risk factors for cardiovascular disease. It can be measuring the categories of risk factors. This is easy for the audience to understand, but also interactive. 

Figure 1.1

  

Figure 1.2

Figure 1.3

Icon Array

The icon array is an array of different symbols and ranges of numbers. The symbol options include solid rectangle, females, males, and gender neutral symbols. This icon array measures how many women develop Polycystic Ovary Syndrome (PCOS). In Figure 1.4, the array demonstrates about 1 in 10 women develop PCOS in their lifetime.