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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
In July 2022, it was announced at the annual company conference, rstudio::conf, that RStudio PBC will be renamed to Posit PBC. The name change was to signal an expansion in focus among its products and services beyond R, such as Python. Previously, the "RStudio" brand made it more difficult for Python users to convert to using their products. [12]
There is also an active R community around the tidyverse. For example, there is the TidyTuesday social data project organised by the Data Science Learning Community (DSLC), [ 16 ] where varied real-world datasets are released each week for the community to participate, share, practice, and make learning to work with data easier. [ 17 ]
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
It will perform automatic code refactoring which is useful when the programs to refactor are outside the control of the original implementer (for example, converting programs from Python 2 to Python 3, or converting programs from an old API to the new API) or when the size of the program makes it impractical or time-consuming to refactor it by ...
One of the biggest decisions anyone has to make for retirement is where to invest money. If you ask 10 different financial advisors, there is a 100% chance you’ll get 10 different answers. This ...
R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
The New Year -- and the entire month of January -- is often the busiest time at the gym. This increase is largely driven by New Year's resolutions as more people set fitness and health goals. Read...