Talk:Merge and aggregate datasets: Difference between revisions
→..."two datasets as provided in .csv files"...: Is parsing .csv's required?
(→Cleaned Note: The example does need completing though.) |
(→..."two datasets as provided in .csv files"...: Is parsing .csv's required?) |
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::Agreed, I find it very useful to have demos that "just run", and like you I usually add comments that show how to read the exact same stuff from a file. I have also added some links to related tasks. --[[User:Petelomax|Pete Lomax]] ([[User talk:Petelomax|talk]]) 07:25, 8 December 2020 (UTC)
::Of course that "just run" is more than just a little bit handy for repl-it, tio, and the like. --[[User:Petelomax|Pete Lomax]] ([[User talk:Petelomax|talk]]) 02:35, 10 December 2020 (UTC)
:The task says "Either load the data from the .csv files or create the required data structures hard-coded." so I took that to mean it wasn't required. The current implementations cover the full spectrum. Go, SQL, Wren, and now C++ took the hard-coded approach. Perl and Raku parse a text block. Julia, Phix, and R work as-if they are reading a file. Python, REXX, and SPSS actually do read .csv files. To me the interesting part of this task is combining the tables - I think this is the only task to do that. Reading from a .csv is covered by the [[CSV data manipulation]] task. What should be required?
[[User:Garbanzo|Garbanzo]] ([[User talk:Garbanzo|talk]]) 03:49, 5 January 2021 (UTC)
== Cleaned Note ==
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