02-AREAS

02-AREAS

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Easily Extracting Information About Your Data • overviewR
Easily Extracting Information About Your Data • overviewR
Makes it easy to display descriptive information on a data set. Getting an easy overview of a data set by displaying and visualizing sample information in different tables (e.g., time and scope conditions). The package also provides publishable LaTeX code to present the sample information.
·cosimameyer.github.io·
Easily Extracting Information About Your Data • overviewR
Column Names as Contracts | Emily Riederer
Column Names as Contracts | Emily Riederer
Using controlled dictionaries for low-touch documentation, validation, and usability of tabular data
·emilyriederer.netlify.app·
Column Names as Contracts | Emily Riederer
Data science as an atomic habit | Malcolm Barrett
Data science as an atomic habit | Malcolm Barrett
Several years ago, I lived at the Zen Center of New York City, a Zen temple focused on supporting lay practitioners (folks who practice but also have jobs, families, and so on). Living at a Zen center is inherently intensive. You follow the temple schedule—morning and evening meditation, work and meals together, and regular meditation retreats—as well as managing your other responsibilities. Yet, there’s an ease to practicing meditation in such a place.
·malco.io·
Data science as an atomic habit | Malcolm Barrett
Artificially-Intelligent/shiny: rocker/rbase docker image with a selection of packages preinstalled geared to support R-Shiny based webapp.
Artificially-Intelligent/shiny: rocker/rbase docker image with a selection of packages preinstalled geared to support R-Shiny based webapp.
rocker/rbase docker image with a selection of packages preinstalled geared to support R-Shiny based webapp. - Artificially-Intelligent/shiny
·github.com·
Artificially-Intelligent/shiny: rocker/rbase docker image with a selection of packages preinstalled geared to support R-Shiny based webapp.