docs: make branding replacements

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Martin Chan 2021-11-15 15:16:39 +00:00
Родитель 821384f150
Коммит 5a22ba6065
14 изменённых файлов: 27 добавлений и 29 удалений

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@ -6,11 +6,10 @@
#' @title Generate a Capacity report in HTML
#'
#' @description
#' The function generates an interactive HTML report using the
#' Standard Person Query data as an input. The report contains a series
#' of summary analysis and visualisations relating to key **capacity**
#' metrics in Workplace Analytics,including length of week and
#' time in after-hours collaboration.
#' The function generates an interactive HTML report using the Standard Person
#' Query data as an input. The report contains a series of summary analysis and
#' visualisations relating to key **capacity** metrics in Viva
#' Insights,including length of week and time in after-hours collaboration.
#'
#' @template spq-params
#' @param path Pass the file path and the desired file name, _excluding the file extension_.

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@ -8,7 +8,7 @@
#' @description
#' The function generates an interactive HTML report using Standard Person Query
#' data as an input. The report contains a series of summary analysis and
#' visualisations relating to key **coaching** metrics in Workplace Analytics,
#' visualisations relating to key **coaching** metrics in Viva Insights,
#' specifically relating to the time spent between managers and their direct
#' reports.
#'

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@ -27,7 +27,7 @@
#'
#' @param data Person Query as a dataframe including date column named `Date`.
#' This function assumes the data format is MM/DD/YYYY as is standard in a
#' Workplace Analytics query output.
#' Viva Insights query output.
#' @param before_start Start date of 'before' time period in MM/DD/YYYY format
#' as character type. Before time period is the period before the intervention
#' (e.g. training program, re-org, shift to remote work) occurs and bounded by

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@ -3,9 +3,8 @@
# Licensed under the MIT License. See LICENSE.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
#' @title Create a bubble plot with two selected Workplace Analytics metrics
#' (General Purpose), with size representing the number of employees in the
#' group.
#' @title Create a bubble plot with two selected Viva Insights metrics (General
#' Purpose), with size representing the number of employees in the group.
#'
#' @description Returns a bubble plot of two selected metrics, using size to map
#' the number of employees.

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@ -3,11 +3,12 @@
# Licensed under the MIT License. See LICENSE.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
#' @title Rank all groups across HR attributes on a selected Workplace Analytics metric
#' @title
#' Rank all groups across HR attributes on a selected Viva Insights metric
#'
#' @description
#' This function scans a standard Person query output for groups with high
#' levels of a given Workplace Analytics Metric. Returns a table with all groups
#' levels of a given Viva Insights Metric. Returns a table with all groups
#' (across multiple HR attributes) ranked by the specified metric.
#'
#' @author Carlos Morales Torrado <carlos.morales@@microsoft.com>

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@ -3,7 +3,8 @@
# Licensed under the MIT License. See LICENSE.txt in the project root for license information.
# --------------------------------------------------------------------------------------------
#' @title Create a Scatter plot with two selected Workplace Analytics metrics (General Purpose)
#' @title
#' Create a Scatter plot with two selected Viva Insights metrics (General Purpose)
#'
#' @description
#' Returns a scatter plot of two selected metrics, using colour to map
@ -94,7 +95,7 @@ create_scatter <- function(data,
y = !!sym(metric_y),
colour = !!sym(hrvar))) +
geom_point(alpha = 0.5) +
labs(title = paste0(clean_x, " and ", clean_y),
labs(title = paste0(clean_x, " and ", clean_y),
subtitle = paste("Distribution of employees by", tolower(camel_clean(hrvar))),
caption = extract_date_range(data, return = "text")) +
xlab(clean_x) +

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@ -6,7 +6,7 @@
#' @title Heat mapped horizontal bar plot over time for any metric
#'
#' @description
#' Provides a week by week view of a selected Workplace Analytics metric. By
#' Provides a week by week view of a selected Viva Insights metric. By
#' default returns a week by week heatmap bar plot, highlighting the points in
#' time with most activity. Additional options available to return a summary
#' table.

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@ -34,11 +34,10 @@ generated in the working directory. No outputs are directly returned by the
function.
}
\description{
The function generates an interactive HTML report using the
Standard Person Query data as an input. The report contains a series
of summary analysis and visualisations relating to key \strong{capacity}
metrics in Workplace Analytics,including length of week and
time in after-hours collaboration.
The function generates an interactive HTML report using the Standard Person
Query data as an input. The report contains a series of summary analysis and
visualisations relating to key \strong{capacity} metrics in Viva
Insights,including length of week and time in after-hours collaboration.
}
\seealso{
Other Reports:

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@ -36,7 +36,7 @@ function.
\description{
The function generates an interactive HTML report using Standard Person Query
data as an input. The report contains a series of summary analysis and
visualisations relating to key \strong{coaching} metrics in Workplace Analytics,
visualisations relating to key \strong{coaching} metrics in Viva Insights,
specifically relating to the time spent between managers and their direct
reports.
}

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@ -18,7 +18,7 @@ create_ITSA(
\arguments{
\item{data}{Person Query as a dataframe including date column named \code{Date}.
This function assumes the data format is MM/DD/YYYY as is standard in a
Workplace Analytics query output.}
Viva Insights query output.}
\item{before_start}{Start date of 'before' time period in MM/DD/YYYY format
as character type. Before time period is the period before the intervention

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@ -2,9 +2,8 @@
% Please edit documentation in R/create_bubble.R
\name{create_bubble}
\alias{create_bubble}
\title{Create a bubble plot with two selected Workplace Analytics metrics
(General Purpose), with size representing the number of employees in the
group.}
\title{Create a bubble plot with two selected Viva Insights metrics (General
Purpose), with size representing the number of employees in the group.}
\usage{
create_bubble(
data,

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@ -2,7 +2,7 @@
% Please edit documentation in R/create_rank.R
\name{create_rank}
\alias{create_rank}
\title{Rank all groups across HR attributes on a selected Workplace Analytics metric}
\title{Rank all groups across HR attributes on a selected Viva Insights metric}
\usage{
create_rank(
data,
@ -62,7 +62,7 @@ plot output if \code{mode} is set to \code{"combine"}.
}
\description{
This function scans a standard Person query output for groups with high
levels of a given Workplace Analytics Metric. Returns a table with all groups
levels of a given Viva Insights Metric. Returns a table with all groups
(across multiple HR attributes) ranked by the specified metric.
}
\examples{

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@ -2,7 +2,7 @@
% Please edit documentation in R/create_scatter.R
\name{create_scatter}
\alias{create_scatter}
\title{Create a Scatter plot with two selected Workplace Analytics metrics (General Purpose)}
\title{Create a Scatter plot with two selected Viva Insights metrics (General Purpose)}
\usage{
create_scatter(
data,

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@ -38,7 +38,7 @@ Returns a 'ggplot' object by default, where 'plot' is passed in \code{return}.
When 'table' is passed, a summary table is returned as a data frame.
}
\description{
Provides a week by week view of a selected Workplace Analytics metric. By
Provides a week by week view of a selected Viva Insights metric. By
default returns a week by week heatmap bar plot, highlighting the points in
time with most activity. Additional options available to return a summary
table.