Let's start at the beginning - bits to character encoding in R
summary
Covers how characters become numbers: a byte is 8 bits, ASCII uses 7 bits, and UTF-8 maps Unicode code points into 1–4 bytes per character to cover over 1 million code points. Notes that R 4.2.0 makes UTF-8 native in R 4.2.0 on supporting OSes, reducing NLP headaches. Shows practical R tools: encoding() and Sys.getlocale(), the i_convert/iconv conversion path, and the tidyverse string work via stringr built on stringi, including an example that applies random encodings.
AI-written summary · about
chapters (5)
- 0:00Start
- 1:54ASCII, Latin1, and Unicode
- 2:22ASCII, Latin1, and UTF-8
- 2:48Character String Encoding in R
- 4:16Character encoding, Tidyverse style
related talks
38mInvalid byte sequence in UTF-8
01h 24mUnicode: From First Principles to Practical Implementation
45mI ♥ Unicode
01h 10mInteresting Characters
48mUnicode: Going Down the Rabbit Hole
11mLightning Talk: Encoding - Understanding the Basics
54mSTRINGS ATTACHED: FROM ASCII TO 🙊🙈🙉
32mHow to Become an Encoding Champion