Population graph
I've developed a more automated template for population growth charts (intended for census data on geographical articles) at the Vietnamese Wikipedia. If anyone's interested, I'd be happy to port vi:Mô đun:Thời biểu dân số over to this wiki; just contact me. – Minh Nguyễn (talk, contribs) 16:53, 31 March 2013 (UTC)
- i gave it a cursory look. first of all - very nice! second - the Vietnamese version currently is limited to a single dataset, so i am not sure it's The Answer™ (although it maybe can be used to develop "The Answer"). However, one thing that the Vietnamese module linked above did right (and i went wrong), is actually using mw:Extension:Timeline (i used divs with position:absolute - quite a disaster). for me personally, timeline has one huge deficiency that tramps (almost) anything else: its RTL support sucks (thogh, maybe Lua can help even here? i'll have to ponder it a bit). i am not all that familiar with the "Timeline" syntax, but it may actually be better.
- So next mission is to develop a line-graph using the timeline syntax.
- peace - קיפודנחש (aka kipod) (talk) 19:55, 31 March 2013 (UTC)
- Hmmm. I was actually hoping that your next project would be developing a set of Lua modules to make the EasyTimeline extension obsolete. I've always found its output to be pretty awful (ugly rasterized image). --MZMcBride (talk) 02:05, 1 April 2013 (UTC)
- Actually, Thời biểu dân số supports any arbitrary years (even BC), as seen at vi:Bản mẫu:Thời biểu dân số#Thành phố New York. I brought it up because it allows you to enter each data point as
| yyyy = nnnn, so editors don't have to learn a special syntax. But obviously you're thinking about broader charting needs, and I would welcome any effort to obsolete EasyTimeline, because its un-antialiased fonts are hideous. – Minh Nguyễn (talk, contribs) 06:31, 2 April 2013 (UTC)
- Actually, Thời biểu dân số supports any arbitrary years (even BC), as seen at vi:Bản mẫu:Thời biểu dân số#Thành phố New York. I brought it up because it allows you to enter each data point as