wpa/DESCRIPTION

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Package: wpa
Type: Package
Title: Tools for Analysing and Visualising Viva Insights Data
Version: 1.7.0
Authors@R: c(
person(given = "Martin", family = "Chan", role = c("aut", "cre"), email = "martin.chan@microsoft.com"),
person(given = "Carlos", family = "Morales", role = "aut", email = "carlos.morales@microsoft.com"),
person(given = "Mark", family = "Powers", role = "ctb", email = "mark.powers@microsoft.com"),
person(given = "Ainize", family = "Cidoncha", role = "ctb", email = "ainize.cidoncha@microsoft.com"),
person(given = "Rosamary", family = "Ochoa Vargas", role = "ctb", email = "rosamary.ochoa@microsoft.com"),
person(given = "Tannaz", family = "Sattari", role = "ctb", email = "tannaz.sattari@microsoft.com"),
person(given = "Lucas", family = "Hogner", role = "ctb", email = "lucas.hogner@microsoft.com"),
person(given = "Jasminder", family = "Thind", role = "ctb", email = "jasminder.thind@microsoft.com"),
person(given = "Simone", family = "Liebal", role = "ctb", email = "simone.liebal@microsoft.com"),
person(given = "Aleksey", family = "Ashikhmin", role = "ctb", email = "alashi@microsoft.com"),
person(given = "Ellen", family = "Trinklein", role = "ctb"),
person(given = "Microsoft Corporation", role = "cph")
)
Description: Opinionated functions that enable easier and faster
analysis of Viva Insights data. There are three main types of functions in 'wpa':
(i) Standard functions create a 'ggplot' visual or a summary table based on a specific
Viva Insights metric; (2) Report Generation functions generate HTML reports on
a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover
more specific applications (e.g. Subject Line text mining) of Viva Insights data.
This package adheres to 'tidyverse' principles and works well with the pipe syntax.
'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for
simplicity.
URL: https://github.com/microsoft/wpa/
BugReports: https://github.com/microsoft/wpa/issues/
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends:
R (>= 3.1.2)
Imports:
dplyr,
stats,
utils,
tidyr,
tidyselect (>= 1.0.0),
magrittr,
purrr,
reshape2,
ggplot2,
ggrepel,
scales,
htmltools,
markdown,
rmarkdown,
networkD3,
DT,
tidytext,
ggraph,
igraph,
proxy,
ggwordcloud,
methods,
data.table
RoxygenNote: 7.2.0
Roxygen: list(markdown = TRUE)
Suggests:
knitr,
extrafont,
leiden,
lifecycle,
fst,
glue,
flexdashboard,
lmtest,
sandwich
Language: en-US