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Text encoding differences
Text encoding differences









  1. Text encoding differences manual#
  2. Text encoding differences plus#

It is also slightly more demanding computationally, since it uses division rather than bit shifting. It uses a larger character set, and so it is only compatible with ASCII (unlike Base64, which supports various close relatives of ASCII).

Text encoding differences manual#

It is case insensitive, and uses only letters and numerals - for manual entry this less confusing than Base64 (which is case sensitive and uses punctuation symbols), but more compact than Hex.ĪSCII85 is the most efficient coding system – data size increases by just 20%. If you need a user to manually enter a binary key, for example a product activation code, Base32 is worth considering. There is one area where Base32 is quite useful. In most cases, if you are opting for a slightly more complex algorithm you might as well go for Base64 which produces smaller data. It lacks the simplicity of Hex, but it is less efficient than Base64. Data size is increased by 60%īase32 falls somewhere between Hex and Base64. Base32 can also be used in place of Base64 if there is a danger that the case of letters might be altered. Numbers 0 and 1 are excluded to avoid confusion with letters. The encoding only uses upper case letters and some numerals. The algorithm is more complex than hex encoding, but the data size is only increased by 33%.īase32 uses a more restricted character set than Base64, and is therefore less efficient. The 64 characters are compatible with normal ASCII, as well as older variants of ASCII, and EBCDIC (a predecessor of ASCII). It is not intended to be in any way human readable, but it is designed to be compatible with as many systems as possible. It is the most inefficient scheme, in fact it increases the size of the data by 100%.īase64 uses a larger character set to achieve a more efficient encoding. There is a major downside to these advantages. You can search it, edit it, and if you have spent enough time working with hex files you might even be able to read it, decoding it in your head as you go along. Looking at hex encoded data in a text editor is exactly like looking at binary data in a hex editor. Each byte is encoded as a separate character pair. It is very easy to understand and to implement.

Text encoding differences plus#

Hex encoding has several major plus points. Base32 is less common, and ASCII85 is only really used in the context of PostScript and PDF. Of the main four binary encoding schemes, Hex and Base64 are the most commonly used. Then, by opening a connection using encoding = "native.Categories binary encoding data formats base64 base32 base16 ascii85 yenc How does this work, exactly? The useBytes argument of writeLines() effectively means, “pretend this text is in the native encoding, and perform no translation”. Your gut reaction might be to open a connection and write to it, like the following: write_utf8 <- function ( text, f = tempfile ()) To keep your life simple, you want to ensure that everything you read and write is encoded in the UTF-8 encoding, since that encoding can broadly represent characters from nearly all languages. Let’s suppose that you are a package author who needs to process some text provided by the user. How do I write UTF-8 encoded content to a file? This blog post is an attempt to explore, and answer, the surprisingly difficult question:











Text encoding differences