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daltoolboxdp
View on CRAN: Click
here
Download and install daltoolboxdp package within the R console
Install from CRAN:
install.packages("daltoolboxdp")
Install from Github:
library("remotes")
install_github("cran/daltoolboxdp")
Install by package version:
library("remotes")
install_version("daltoolboxdp", "1.0.787")
Attach the package and use:
library("daltoolboxdp")
Maintained by
Eduardo Ogasawara
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.daltoolboxdp . https://github.com/cefet-rj-dal/daltoolboxdp/issues . https://cefet-rj-dal.github.io/daltoolboxdp/ . https://github.com/cefet-rj-dal/daltoolboxdp . daltoolboxdp results . daltoolboxdp.pdf . daltoolboxdp_1.0.787.tar.gz . daltoolboxdp_1.0.787.zip . daltoolboxdp_1.0.787.zip . daltoolboxdp_1.0.787.zip . daltoolboxdp_1.0.787.tgz . daltoolboxdp_1.0.787.tgz . daltoolboxdp_1.0.787.tgz . daltoolboxdp_1.0.787.tgz . daltoolboxdp archive . https://CRAN.R-project.org/package=daltoolboxdp .
First Published: 2024-03-27
Latest Update: 2024-03-27
Description:
An important aspect of data analytics is related to data management support for artificial intelligence. It is related to preparing data correctly. This package provides extensions to support data preparation in terms of both data sampling and data engineering. Overall, the package provides researchers with a comprehensive set of functionalities for data science based on experiment lines, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) .
How to cite:
Eduardo Ogasawara (2024). daltoolboxdp: Python-Based Extensions for Data Analytics Workflows. R package version 1.0.787, https://cran.r-project.org/web/packages/daltoolboxdp. Accessed 29 Apr. 2025.
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