Visualize flexibly mapped primary attribute in graph.

[alexsb]

As discussed in #17, we want to be able to select a primary and a secondary attribute for direct mapping in the graph.

The primary mapping will determine the node color. For categorical values, we will choose a qualitative color scale (black/white for binary categories, this colorbrewer scale for multiple categories) and visualize a legend of the color scale at the bottom of the graph.

For continuous color values, we will use a quantitative color brewer scale, appropriately treating quantitative continuous and diverging scales. Again, we will visualize a legend at the bottom of the graph.

Two components:

• One-node mapping works.
• Legends implemented.

[cnobre]

[alexsb]

We decided to use the node to always encode a binary value (primary phenotype yes/no). When the primary phenotype is binary, this is all that is to do.

In cases where the binary value is derived from a continuous or categorical value, we will use a bar to the left of the node. For categorical values, this will be a color. For numerical values, this will be a bar with a height proportional to the value.

[alexsb]

Works!