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.
| Version: |
1.8.0 |
| 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 |
| Suggests: |
knitr, extrafont, leiden, lifecycle, fst, glue, flexdashboard, lmtest, sandwich, testthat (≥ 3.0.0) |
| Published: |
2022-07-05 |
| Author: |
Martin Chan [aut, cre],
Carlos Morales [aut],
Mark Powers [ctb],
Ainize Cidoncha [ctb],
Rosamary Ochoa Vargas [ctb],
Tannaz Sattari [ctb],
Lucas Hogner [ctb],
Jasminder Thind [ctb],
Simone Liebal [ctb],
Aleksey Ashikhmin [ctb],
Ellen Trinklein [ctb],
Microsoft Corporation [cph] |
| Maintainer: |
Martin Chan <martin.chan at microsoft.com> |
| BugReports: |
https://github.com/microsoft/wpa/issues/ |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/microsoft/wpa/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
wpa results |