Professor essentially doing a dance to show data visualisation:
“Hey pay attention! I’m trading my dignity for your education”

@lazyDev reminded me of the time my bid for a project was rejected because I'm a white man. Never mind the fact that I have built my career around data management, visualisation and modelling and the only other competing bid was from someone who had experience in mobile development and little else. I checked up on the company and the project just now, and they've posted the project up again. I've made a bid just like I did before, only this time I've tripled my price. Let's see if they change their minds.

Generally devs who are too arrogant to accept help or constructive criticism. There’s this data visualisation library that missed a specific feature that psychologists use quite frequently, so I added it myself and opened a PR. The maintainer closed it because people should use whatever he’d already implemented. It’s like not giving someone the option to listen to disco because rock music is better. Yeah, cool story bro. Now all my visualisation projects depend on my fork instead. Same with the now abandoned Material Design Library devs. They didn’t have a drop down with free input, so I opened a PR with my solution. Closed as it was out of scope, simply because Google didn’t specifically include that in the Material specs, only an input and a drop down separately which my solution matched. I also opened a PR for an obviously missing feature (being able to validate forms via JS), closed as this behaviour wasn’t in the Material specs either. No wonder MDL died before it was ever finished.

What's your favourite Data analytics/ visualisation tool? and why ?

Was using an open source piece of software for data storage and visualisation to work with the loggers my company makes. When importing old data for historical views, some of the csv imports would fail without any specific error messages.

It took me a couple of hours but after looking at their csv parser and making my own little one to test with, I eventually found out that it was all down to the way datatime (I think it was?) in java deals with DST, which apparently was to just fuck shit up.

Anyhow, a few simple lines added into the parser later and it all works just fine.

Was super proud of that one as it was the first time I actually looked somewhat good in front of my senior dev.

Power BI: wonderful tool, pretty graphics, and can do a lot of powerful stuff.

But it’s also quite frustrating when you want to do advanced things, as it’s such a closed platform.

* No way to run powerquery scripts in a command line
* Unit testing is a major pain, and doesn’t really test all the data munging capabilities
* The various layers (offline/online, visualisation, DAX, Powerquery, Dataset, Dataflow) are a bit too seamless: locating where an issue is happening when debugging can be pain, especially as filtering works differently in Query Editing mode than Query Visualisation mode.

And my number 1 pet peeve:
* No version control

It’s seriously disconcerting to go back to a no version control system, especially as you need to modify “live code” sometimes in order to debug a visual.

At best, I’ve been looking into extracting the code from the file, and then checking that into git, but it’s still a one-way street that means a lot of copying and pasting back into the program in order to roll back, and makes forking quite difficult.

It’s rewarding to work with the system, but these frustrations can really get to me sometimes

Multiple questions :
Who shall do the d3 driven data visualisation - which role?
Where are the asp.net people?
Why automation companies work preferably in asp.net?