Text-based data

Introduction
Text based data, AKA plain text. has proven to be very hard to understand. This has not only to do with the infinite ways text based data might be structured, but mainly because you need to know the encoding (eg. UTF-8) before you can start interpreting it.


 * The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)

Text formats and resources

 * AsciiDoc
 * Attribute-Relation File Format
 * Column Delimited
 * CSV (Comma Separated Values; comma-delimited)
 * CSV Dialect Description Format
 * CSV Schema
 * JSON Table Schema
 * Microsoft Office File List (filelist.xml)
 * NestedText
 * Org-mode
 * Softdisk Publishing UDF files
 * Strings File (OS X, iOS) (.strings)
 * Tab delimited
 * Text Encoding Initiative
 * Textile

Links

 * Information wants to be plain text.