Limitations of paper size when presenting comprehensive visualisations of results When writing a PhD thesis or an academic paper, you tend to be limited in how you can present results by the physical paper size, e.g. A4 for a thesis and often much tighter when targeting journals or conference proceedings.
This seems needlessly restrictive in this day and age, but perhaps that's a different discussion about the whole academic publishing machinery and its implications for good research.
My question is: how do you approach presenting data in a way that doesn't lose detail and impact, but fits in 15 x 25 cm (if you're lucky)?
I'll use an example to illustrate - after one set of experiments I have a plot that looks like this:

This plot could be really useful in drawing out lots of conclusions and further questions.  As it is, it only covers a sample of the actual results, but shows important trends and differences.
I've had a few ideas about how I might present this.  I could:

Make an interactive visualisation available online and refer to it in the printed paper - printing just a small sample there but referring to the full results in the commentary.
Summarise the findings using tabulated numbers and perhaps just present one example (corresponding to one column of the image above).
Just squeeze it in somehow to give a &quot;big picture&quot; and then explain and point to full results elsewhere.

I wondered if this is a common problem and what good practice exists out there.
What do you want your readers to take from your 66 plots? You did alot of work? Great so has everyone else.
You say your plots could be used to &quot;be really useful in drawing out lots of conclusions and further questions&quot;. Well that is your job as the author to do in the first place. As a reader if i see that in a paper, then that tells me you haven't analyzed your data and are leaving it to me to understand what your data shows.
Instead i'd either pick a couple of the most interesting/relevant plots to show, or work out how to combine all the plots in to one bigger plot.
I expect a lot of the trends could be presented more concisely simply as text. Are all 66 plots/parameters equally interesting to a reader? Probably not, they might be interesting to someone who is looking to repeat your work in which case i'd just put that data in a table (and put that in the supplementary material).