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The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.
R:Base 4.5 rolled out another new file format and greatly improved capacity. OBDC drivers were rolled out to allow interchange of data with Microsoft Windows-based applications without running the DOS-based File Gateway utility. While number of records in a database was "limited only by disk space," in practice, some users found there were ...
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...
While in General settings, click the My Data tab. Click Export. Choose a location to save the export file and click save. By default it will save the file in your My Documents folder named AOL Desktop Backup and the date the backup was created. For added security, you have the option to create a password for your export file.
tidyr – help transform data specifically into tidy data, where each variable is a column, each observation is a row; each row is an observation, and each value is a cell. readr – help read in common delimited, text files with data; purrr – a functional programming toolkit; tibble – a modern implementation of the built-in data frame data ...
The code chunks can be regarded as R-scripts that load data, performs data processing and; creates output data (e.g. descriptive analysis) or output graphics (e.g. boxplot diagram). The implementation of logical conditions in R can provide text elements for the dynamic report depended on the statistical analysis. For example:
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R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.