Some thoughts:
Consider a data-and-code solution as opposed to one that involves custom-editing each and every table.
In approx. the same time it takes you to mark up each table you could instead be logging each table (say giving each table an id (or probably better, a class), it’s column count, and preferred column sizing)
There are a number of ways to go about doing this. ( I prefer a JS-coded approach, but at very least you could create a central .css file that effectively lists all your table classes and their customized td widths. )
A number of interesting things come from this approach:
a) You get a centralized overview of all your tables.
b) When you want to make changes you don’t have to again edit all your tables, just the centralized file.
c) You typically discover patterns in your datasets and even your website you weren’t previously aware of, and you can start to think about how to leverage those discoveries in efficient, innovative ways.
d) You open up the possibility — if it makes a difference — of extracting the data out of all the html files into more data-friendly contexts (databases, JSON, etc)
> On Nov 26, 2019, at 07:25, Andrew Brown <
li...@c18.org> wrote:
>
> All custom, Harvey. — A.
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