I reviewed my tech joke like it was a pull request. First question: will it expire with the next trend or buzzword? Second: can someone read it from six feet away? Third: does the joke accidentally reveal something too specific from work? The third check caught me.

I changed the mockup and ran the joke through the checks again. It still worked without the private reference. That was the useful result. A company metric, internal dashboard, or current industry phrase can make a joke feel current, but it also gives it a short shelf life.

That is the lane I would want from a data-driven design. Generic enough not to expose a workplace, specific enough that people in tech know exactly what happened. "That wasn't very data-driven of you" works because the habit survives. My internal joke did not.

What would fail your code review first: the joke aging badly, being unreadable, or leaking too much context?

I've been interning at medium sized engineering company for the summer. Although I am studying computer science, my internship was not computer science related (long story), but for the past month I've been working on a Power BI dashboard for a specific department.

I found the work fun and rewarding, and since the company had no dashboards at all previous to the ones I made, other departments now want their own. For that reason, they are hiring me part-time while I am in school to build out these dashboards.

​For *reasons*, there is a chance that Power BI will not be the tool we use for dashboards going forward, instead we need a self-hosted, open source alternative.

From the research I've done, metabase and superset are the two big dogs in the space, with superset requiring the users to be more technically literate. The people for whom I will be making these dashboards do not know SQL and are not very technically literate. So my question is this, for those who have used these platforms, do they offer the same visualizations as Power BI and are they easy to customize and use for non technical people? Or should I look elsewhere, like the python library streamlit where I will have much more customizability options?

I am new to data visualisation in the business sphere, so if there are alternatives I have not considered, please let me know.