R (>= 3.5.0), memoise, doParallel, pbapply, SamplingBigData,
glue, methods

Downloads and Tidies the San Francisco Public Utilities
Commission Beach Water Quality Monitoring Program Data
Downloads and tidies the San Francisco Public Utilities Commission Beach Water Quality Monitoring Program data. Data sets can be downloaded per beach, or the raw data can be downloaded. See <https://sfwater.org/cfapps/lims/beachmain1.cfm>.

Tools for Population Health Management Analytics
c(
person("Asif", "Laldin", , "laldin.asif@gmail.com", c("aut", "cre")),
person("Gary", "Hutson", ,"hutsons-hacks@outlook.com", "aut", comment = c(ORCID="0000-0003-3534-6143"))
)
Created for population health analytics and monitoring.
The functions in this package work best when working with patient level Master Patient Index-like datasets .
Built to be used by  NHS bodies and other health service providers.
ggplot2, dplyr, scales, janitor, readr, utils, ggthemes,
magrittr, readxl, ggtext, DBI, odbc
Asif Laldin [aut, cre],
Gary Hutson [aut] (<https://orcid.org/0000-0003-3534-6143>)

ggplot2, dplyr, scales, janitor, readr, utils, ggthemes,
magrittr, readxl, ggtext, DBI, odbc, rlang, tibble
knitr, rmarkdown, testthat (>= 3.0.0), kableExtra

A series of functions designed to aid in the creation of input files for the 'Circos' visualization platform <http://circos.ca/>. Included are two main function types - make_circos_x() and write_circos_x(). The "make" functions are designed to process an input data set, and return a data frame that can be manipulated and filtered to eliminate the need to write Perl scripts within the 'Circos' software platform for data filtering. The "write" functions take processed data frames from the "make" functions, and write .txt files compatible with the 'Circos' platform. In addition to these function types, there are other accessory functions that aid in the manipulation of the make_circos_x() returned data frames to enhance final visual appeal (such as color_circos_links()).
dplyr, tidyr, purrr, readr, tibble, pbapply, randomcoloR,
parallel, grDevices