My problem structure:
For a given order there are item/s which each have a corresponding cost and yield probability. I’m given a set number of tries (launches) to get all of the items and complete the order while trying to minimize extra good product (overrun) by its cost. I’m running monte carlo simulations for various launching strategies to see what results they get.
What I’m trying to represent:
The differences in completion and overrun for various launching strategies for a fixed number of launches and a minimum completion %.
What I’m currently doing:
I have 4 vertical subplots which each have a fixed number of launches (2 to 5 launches) and 5 boxplots which each correspond to a launching strategy. The boxplot has a collection of overrun % and a single average completion %. The x-axis corresponds to overrun % and the y-axis has the corresponding completion %. Each launch strategy is color coded.
My plotly questions:
- How do I make a legend that corresponds a color to the launching strategy without having it repeat or make me label the y-axis by the launching strategy?
- How do I make the y-axis to not sort or autoscale based on the completion %?
- How do I make the overall plot to scale to the entire page (horizontal and vertical or by aspect ratio) so that the boxplots are easier to read, regardless of resolution?