This works great. I am currently looking to get a small DB of related keywords and just beginning to think about how to get them. This is awesome. It needs two cells to get some context. One cell does not work and should be expected.
On a slightly related note, what do people usually do if they want a list of all say, manufacturers of Sunglasses? I usually am way behind the web server in C and recently dabbling into the JS and python world.
I can only speak about Germany, but there still are tons of catalogs, registers and databases (both in print and online), listing companies that supply specific goods. I am not sure about the US equivalent of Handelskammern or Chambre de Commerce.
Here in the US, a place like hoovers.com would be a good starting point for that sort of thing. There's probably also something like the "Sunglass Manufacturer's Industry Association" which probably maintains such a list. There are also government databases of various sorts, and things like the Chamber of Commerce, etc.
I used the Sunglass manufacturers as an example. Did not mean that literally. I was asking for a more general approach to get lists of related things, exactly like Google sets. Did not know it existed while it did.
Right, I was also just using that as an example. You could substitute the "Sunglass Manufacturer's Industry Association" for the "Mechanical Pencil Industry Association" or the "Nuclear Fuel Rod Manufacturing Association" or whatever. :-)
In either case, the point about Hoovers, various government databases, etc., still stands.
On a slightly related note, what do people usually do if they want a list of all say, manufacturers of Sunglasses? I usually am way behind the web server in C and recently dabbling into the JS and python world.