g2g_data

A demo dataset representing a Group-to-Group Query. The grouping
organizational attribute used here is <code>Organization</code>, where the variable have
been prefixed with <code>TimeInvestors_</code> and <code>Collaborators_</code> to represent the
direction of collaboration.

datasets

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.

Martin Chan

Tools for Analysing and Visualising Viva Insights Data

Carlos Morales

Mark Powers

Ainize Cidoncha

Rosamary Ochoa Vargas

Tannaz Sattari

Lucas Hogner

Jasminder Thind

Simone Liebal

Aleksey Ashikhmin

Ellen Trinklein

Microsoft Corporation 

g2g_data function

A data frame with 1417 rows and 7 variables:<dl>
<dt>TimeInvestors_Organization</dt>
<dd></dd><dt>Collaborators_Organization</dt>
<dd></dd><dt>Date</dt>
<dd></dd><dt>Meetings</dt>
<dd></dd><dt>Meeting_hours</dt>
<dd></dd><dt>Email_hours</dt>
<dd></dd><dt>Collaboration_hours</dt>
<dd></dd>
...</dl>

Format

Sample Group-to-Group dataset — g2g_data

A data frame with 1417 rows and 7 variables:<dl>
<dt>TimeInvestors_Organization</dt>
<dd></dd>

<dt>Collaborators_Organization</dt>
<dd></dd>

<dt>Date</dt>
<dd></dd>

<dt>Meetings</dt>
<dd></dd>

<dt>Meeting_hours</dt>
<dd></dd>

<dt>Email_hours</dt>
<dd></dd>

<dt>Collaboration_hours</dt>
<dd></dd>


...

</dl>

Sample Group-to-Group dataset

g2g_data: Sample Group-to-Group dataset

Description

Usage

Arguments

Value

Format

See Also