Methods to get a grip on working with remote 'tbl' sources ('SQL' databases,
'Spark') through 'dplyr'.  Adds convenience functions to make such tasks more like
working with an in-memory 'data.frame'.  Results do depend on which 'dplyr' data service you use.
testthat, knitr, rmarkdown, tidyr, RSQLite, DBI, ggplot2

testthat, knitr, rmarkdown, tidyr, RSQLite, ggplot2

Fluid Use of 'dplyr' and Parametric Arguments
testthat, knitr, rmarkdown, RSQLite, ggplot2, lazyeval

Methods to get a grip on working with remote 'tbl' sources ('SQL' databases,
'sparklyr' 'Spark' 2.0.0 and above) through 'dplyr'.  Adds convenience functions to make such tasks more like
working with an in-memory 'data.frame'.  Results do depend on which 'dplyr' data service you use.
testthat, knitr, rmarkdown, RSQLite, sparklyr, ggplot2,
lazyeval, babynames, magrittr

Methods to get a grip on working with remote data sources ('SQL' databases,
'sparklyr' 'Spark' 2.0.0 and above) through 'dplyr'.  Adds convenience functions to make such tasks more like
working with an in-memory 'data.frame'.  Results do depend on which 'dplyr' data service you use.

Methods to diligently use 'dplyr' remote data sources ('SQL' databases,
'Spark' 2.0.0 and above).
Adds convenience functions to make such tasks more like
working with an in-memory R 'data.frame'.
testthat, knitr, rmarkdown, sparklyr, ggplot2, babynames,
magrittr, RPostgreSQL

testthat, knitr, rmarkdown, sparklyr, ggplot2, babynames,
magrittr, RPostgreSQL, DiagrammeR, igraph, htmlwidgets,
webshot, magick, grid

testthat, knitr, rmarkdown, sparklyr, ggplot2, RPostgreSQL,
DiagrammeR, igraph, htmlwidgets, webshot, magick, grid

testthat, knitr, rmarkdown, sparklyr (>= 0.6.2), ggplot2,
RPostgreSQL, DiagrammeR, igraph, htmlwidgets, webshot, magick,
grid

Methods to use 'dplyr' remote data sources ('SQL' databases,
'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning
user code works similarly on all such sources, without needing per-source
adaption).
Adds convenience functions to make such tasks more like
working with an in-memory R 'data.frame'.
testthat, knitr, rmarkdown, sparklyr (>= 0.6.2), dbplyr,
ggplot2, RPostgreSQL, DiagrammeR, igraph, htmlwidgets, webshot,
magick, grid