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Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...
Cap'n Proto Encoding Spec: Yes Partial h: No Yes No Yes CBOR: Carsten Bormann, P. Hoffman: MessagePack [2] Yes RFC 8949 Yes No Yes, through tagging CDDL: FIDO2: No Comma-separated values (CSV) RFC author: Yakov Shafranovich — Myriad informal variants RFC 4180 (among others) No Yes No No No No Common Data Representation (CDR) Object Management ...
UTF-8 is also the recommendation from the WHATWG for HTML and DOM specifications, and stating "UTF-8 encoding is the most appropriate encoding for interchange of Unicode" [4] and the Internet Mail Consortium recommends that all e‑mail programs be able to display and create mail using UTF-8.
Dataframe may refer to: A tabular data structure common to many data processing libraries: pandas (software) § DataFrames; The Dataframe API in Apache Spark;
Data Format Description Language (DFDL, often pronounced daff-o-dil) is a modeling language for describing general text and binary data in a standard way. It was published as an Open Grid Forum Recommendation [1] in February 2021, and in April 2024 was published as an ISO standard.
Tab-separated values (TSV) is a simple, text-based file format for storing tabular data. [3] Records are separated by newlines, and values within a record are separated by tab characters.
For example, a table of 128 rows with a Boolean column requires 128 bytes a row-oriented format (one byte per Boolean) but 128 bits (16 bytes) in a column-oriented format (via a bitmap). Another example is the use of run-length encoding to encode a column.
In information theory, data compression, source coding, [1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in ...