Bioprocess Data Visualization using Bertin’s Visual Variables
Data is about bacterial growth from experiments of bio engineers at TU Berlin.
Exploring a slice of the dataset
Full dataset
Visual Variables after Bertin
Size
Shape
Value
Color
Orientation
Texture
One Data Point With 6 Visual Variables
This section takes one row from the current random slice and renders it as a single composite mark. The glyph uses position, size, shape, texture, hue, and orientation at the same time.
Comparing a Bertin flavored chart to a classic plot
Position (x: Time, y: Oxygen)
Size (Biomass)
Shape (Induction)
Texture (Glucose)
Hue (Product)
Orientation (Acetate)