Means of building interactive charts https://plot.ly/r/ that students can use to see how theoretical equations are influenced by changes in inputs, hopefully so they develop a greater intuition and understanding of how the charts work.
In the case where multiple variables can be changed, say when moving through the Production model to Solow-Romer model, you can use multiple sliders here: https://plot.ly/r/sliders/#mulitple-slider-controls
One would do this firstly by representing the fundamental equation(s) of the models in code (not too difficult), then using a loop to generate a number of observations that would be able to be plotted on a graph.
That is, for instance, setting up a loop that gets Y values over a range of Time values (X-axis).
What I don't know is if you can do multiple graphs with this method, say firstly showing a time series graph's ramification of how a Solow-Romer model changes the production function but in a pie chart off to the side (in the same environment), show how much of the labor force is dedicated to the production of objects versus ideas.
Use outside Economics
This same thing (generating interactive graphs) could be used to illustrate changes in other domains, too.
If enough of these get made and the code is open source, this could be replicated across many domains.
Regarding Using Jupyter Notebooks
It's cool to be able to work with the code in the environment where it'll eventually be run by end users that won't want to see code; I think this keeps me focused on that I need to make the solutions simple, usable, and not overwhelming.