If people are interesting exploring artists from different countries, I built a tool a few month ago that uses wikidata und simple sql queries to get for example a random female artist from Germany: https://piebro.github.io/wikidata-extraction/random.html
Cool project! I tackled the same problem a few weeks ago to plot some nice Christmas cards. I will have a look at your skeletonization approach, because I was struggling with that.
There is a small typo in this sentence: "As long as we’re willing to say that Carbon is is about reducing the reliance on the C++ Standard Committee ...". There are two "is".
Oh nice, I didn't know one could print Lithophanes. If you mount a pen in your 3D Printer and the right settings it should also work as a pen plotter. But I don't know how practical that is.
The map2stl tool is also cool. I created a similar tool [0] for pen plotters using OpenStreetMap Data a while ago, which is fun to play around with.
The python code was running in the browser using pyodide before. It took a while to load and was kind of messy to use. But it worked well once loaded which was pretty cool.
I actually printed a few designs and hung them up in frames in my home. Maybe I'll add the idea and some links to the readme. Can you recommend a printing service?
I think it's not possible to access the actual file upload using the galaxy hall of fame (https://www.factorio.com/galaxy) or I just can't find them. Otherwise it would be pretty cool.
Oh yeah, I like the mod idea. That should also be quite doable, thanks.
Thanks, pen plotting was my motivation for doing this as an SVG and not on a canvas. I never got around plotting an actual factory though, but I might do it this time.
It's not very fast but make the whole development process a lot easier because I can use pandas to query the data.
When I played around with the data, I also tried most skipped artists, but it was hard to interpret, because my most skipped artists were also my most listened to artists, because I get more chances to skip song from them if I listen more to them. If you download the dataset as CSV it's also quite easy to do your own queries with pandas or other software.
Yes, I think sharing and comparing it with friends is the most fun part. There is a download plot button at the bottom to download the plots and tables as images. That's the only way I could think of to make it easily shareable.
> The main provider of map data is TomTom, but data is also supplied by Automotive Navigation Data, Getchee, Hexagon AB, IGN, Increment P, Intermap Technologies, LeadDog, MDA Information Systems, OpenStreetMap, and Waze.
Here is a map to see where people affiliated with apple are contributing to openstreetmap: https://piebro.github.io/openstreetmap-statistics/#e19b
it seems they use OSM data everywhere but in North America and most of Europe.
Looking at all edits done by osm member affiliated with Grab from that wiki list (https://piebro.github.io/openstreetmap-statistics/#b34d) it seems they contributed a lot of edits (21M in total, sixth largest company contributor). The amount of edits slowed down on the last year though.
Here is an overview of which corporation contribute how many edits based on the osm account names affiliated with the corporations: https://piebro.github.io/openstreetmap-statistics/#b34d Lyft is the eleventh most active company by edit count with a total of 4M edits and 1.5M edits in the last year.
Maybe to give some more context to the use of "Map builder" as editing Software in OSM, we can look at some statistics from osm changeset. (Disclaimer: I created the statistics and website)
Looking at the usage, there was 1 contributor in 2021 (Map Builder User [1]), 1506 contributors in 2022 and 890 contributors in January 2023. In total, 2376 contributors used Map builder. As of January 2023, it's the 24th most used tool by total contributor count. [2]
Looking at the edit count: Map builder is the 98th most used editing software with 3768 edits in 2021, 69618 in 2022, 38954 in January 2023 and a total of 112340 edits. [3]
It has gained in popularity in the last year. I hope these statistics can help with the discussion.