Add conclusion and data sourcing

popcorn.qmd

@@ -451,6 +451,17 @@ upheavals in the kernel releases (of a magnitude like the removal of
 [bcachefs](https://en.wikipedia.org/wiki/Bcachefs)) or major stability issues,
 this seems a reasonable assumption to me.
 
+## Conclusion
+
+That's it for the main look at the packages and kernel versions in use in the
+Void Linux community, currently and in the past.
+
+There are of course more observations to be made.
+One that still interests me is the development of the dominant packages over time ---
+were the top packages relatively static or did they evolve from others?
+
+<!-- Another interesting analysis that comes to mind is the... [TODO:] -->
+
 ## Appendix: Odds and Ends
 
 The above graphics are the main ones that I think could be useful, entertaining, or somewhere in between.
@@ -606,29 +617,32 @@ is not called out in the main article. As it is --- an interesting fact, and,
 where this a more rigorous investigation, perhaps worthy of taking into account
 as biasing the result, but for our purposes not too bad.
 
-## Outline
+### The code and the data
 
-- intro
-- filesize
-- unique installations reported from
-- packages -> perhaps find new subcategories
-  - global
-  - relative (pkg/unique)
-  - top packages
-  - rare packages?
-  - install distribution
-- packages per time unit (find clever title, e.g. 'accumulated packages')
-  - per year?
-  - weekday
-  - month of year (combine with weekday?)
-- kernels
-  - overall kernel version installations
-  - kernels over time
+All the data used in the previous sections originally comes from
+<https://popcorn.voidlinux.org>. The collected data, in csv form, is available
+from [this repository](https://git.martyoeh.me/datasci/ds-voidlinux-popcorn).
 
-- misc
-  - missing days
-  - moved days
+If you want to take a closer look at the functions creating the plots and
+tables above, they are all available in [this repository]() in the
+`notebooks/popcorn.py` file. It is the first project I have mostly written
+using [marimo](https://github.com/marimo-team/marimo) instead of jupyter, and I
+have to say I really enjoy its workflow.
 
-- things we can't see (limitations)
-  - packages on offer in the repositories
-    - this could shed light on the bumps of users and relative package ownership
+To figure out which function creates which plot, just look up the function name
+in the relevant cell imported in the `popcorn.qmd` quarto file in the
+repository root, and search for it in the marimo notebook file.
+
+Feel free to use any files or parts of this analysis for your own purposes. All
+my own content, including this analysis is released under
+[CC BY-NC 4.0](http://creativecommons.org/licenses/by-nc/4.0/).
+
+If you have any ideas of further analysis, don't hesitate to let me know.
+If you spot any errors or there are other issues, of course also let me know.
+
+I assume most people reading this will be very familiar with and using it
+already, but if not and any of this piques your interest, feel free to also
+take [Void Linux](https://voidlinux.org/) for a spin. Don't forget to install
+and enable
+[PopCorn](https://github.com/void-linux/void-packages/tree/master/srcpkgs/PopCorn)
+so that you too can contribute to the future statistics above ;-)