Found this interesting website: insideairbnb.com/get-the-data/

Thanks! Yes, I had the zip, I just wanted to know where to find the original source

Hi, I was looking at your AirBnB chart/code. Is there a source for AirBnB datasets? I dont see any mentioned in your code and was wondering if I could get more AirBnB data

In addition to Maloney, Kelly and Foecke, I thought that Annika Albrecht and Sydney Townsend also had two rings, am I wrong?

I dont think any of us thought of it as spamming!
Is that one of the @dslc.io‬ book clubs? They look so good and I am always wanting to join them but so far I havent found the time.

Well, I must say I hadn't seen this before. This conversation has turned out to be very educative. I can see a visualization that 1st shows the whole plot, and then a close up like this one. Thanks for the pic.

Thanks! The cream makes for a wonderful background color in contrast with the black and the scarlet. Also Daniel Heikkinen's Nebraska font looks pretty good. www.dafont.com/daniel-heikk...

the scoring opportunities for the pins, and most of the point will always come for the pins. But, do teams with more active MBs win more and more importantly win championships? Is this accepted "wisdom" correct? I think that could be the topic of a much more interesting chart in the future 😀

but to show that is is *more* for the Spring matches with the new coach than at any point in the previous season. How much more? Doesn't really matter, there is no set number in volleyball for this strategy to be effective. It is a common belief that if the MBs get more sets, this will increase +

So thinking more about this, I guess I could add grid lines to make it easier to see how much the black bars have changed. I could also include the % number inside each bar. The point of the vizualization however was not emphasize if the attack % has increased or decrease a few % points+

Thanks for the comment. Now that you mention it, I don't think I have seen any bar plot zoomed-in.

Hi. Sorry moving day for my son and I am "helping"--but I would take a look at this later today and try different settings. But take a look at the code if you can and play with it.

Hi. Not sure what you mean. y-axis start at 0 and goes to 100 (I guess it could go to 80, if one wants), but it is fixed and cannot change over time. the x-axis is the dates and those cover only the time period corresponding to the regular volleyball season. Not sure this answers your question.

I feel I should clarify that this is not the the % of kills (points) produced by position. We are instead looking at how frequently the diff positions are set to attack by the Nebraska setters.

The NCAA volleyball season is going to start in a couple of weeks. And the Nebraska media (@volleyballpod.bsky.social) is making a big deal of how much more the new coach is going to be using the middle blockers, so instead of a TidyTuesday viz, here is a look at the Nebraska's attack %

Gotta learn how to add info inside my bars.

This is really good.