Am 23.05.2016 um 23:22 schrieb John MACFARLANE <jgm-TVLZxgkOlNX2fBVCVOL8/A@public.gmane.org>:

But the Markdown philosophy is not about being "simple but
powerful."  It's about having source files that are
human-readable text files.

Quoting from John Gruber's original Markdown syntax page:

The overriding design goal for Markdown’s formatting syntax
is to make it as readable as possible. The idea is that a
Markdown-formatted document should be publishable as-is, as
plain text, without looking like it’s been marked up with
tags or formatting instructions.

CSV is simple (though not as flexible as HTML formatting).
But it doesn't pass this test.

This design goal is really important to keep in mind when
comparing Markdown to alternatives, which are often easier
to write (because, for example, sublists are indicated by
`**` instead of indentation), but don't look as natural
to read.

John, you are right, and I will rephrase. I think that seemless integration of markdown and CSV would make a lot of sense for many use cases. A Pandoc CSV reader is a good first step. The second step is then combining multiple Pandoc documents into one. This can of course be done already, but maybe extending the ![]() syntax would make it easier to import other documents (e.g. a number of tables in CSV format) into markdown documents instead of appending multiple documents into one. The only requirement would be that the external file referenced in ![]() would be in a format that Pandoc understands, otherwise it is loaded as binary blob, as for images.

Am 26.05.2016 um 08:42 schrieb Sergio Correia <sergio.correia@gmail.com>:

2) For tables, I would also suggest to take a look at this filter:

http://scorreia.com/software/panflute/guide.html#yaml-code-blocks

It allows markdown like this:

Some text

~~~ csv
title: Some Title
has-header: True
---
Col1, Col2, Col3
1, 2, 3
10, 20, 30
~~~

More text

This combines pure CSV with options set up in YAML, so you can add captions and customize the table.

I like the use of YAML in code blocks, as you frequently need additional metadata to properly understand tabular data (see for example http://data.okfn.org/doc/tabular-data-package). Very cool.

Best,

Martin

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