This is the same logic used by Windows OS, for example, in determining what application is associated with a given file type. Specifically, rio uses the file extension of a file name to determine what kind of file it is. The core advantage of rio is that it makes assumptions that the user is probably willing to make. rio aims to unify data I/O (importing and exporting) into two simple functions: import() and export() so that beginners (and experienced R users) never have to think twice (or even once) about the best way to read and write R data.

Faster, simpler, packages with fewer dependencies have been created for many of the file types described in that document. And, despite all of that text, most of the packages described are (to varying degrees) out-of-date. Indeed, R supplies an entire manual describing the process of data import/export. This process is, probably unnecessarily, extremely complex for beginning R users. CSV implementations may not handle such field data or use quotation marks to surround the field.The idea behind rio is to simplify the process of importing data into R and exporting data from R. The basic idea of separating fields with a comma is clear, but that idea gets complicated when the field data may also contain commas or even embedded line-breaks. At a generic level of description, there are two kinds of computer files: text files and binary files.

Text files can contain plain text, but they are not limited to such. Text file refers to a type of container, while plain text refers to a kind of content.

The comma as a field separator is the source of the name for this file format. Each record consists of one or more fields, separated by commas. In computing, a comma-separated values (CSV) file stores tabular data (numbers and text) in plain text. Such files can be viewed and edited on text terminals or in simple text editors. The name text file refers to a file format that allows only plain text content with very little formatting (e.g., no bold or italic types).

Csv to txt converter