mt_data

A dataset generated from a Meeting Query from Workplace Analytics.

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 

mt_data function

A data frame with 2001 rows and 30 variables:<dl>
<dt>MeetingId</dt>
<dd></dd><dt>StartDate</dt>
<dd></dd><dt>StartTimeUTC</dt>
<dd></dd><dt>EndDate</dt>
<dd></dd><dt>EndTimeUTC</dt>
<dd></dd><dt>Attendee_meeting_hours</dt>
<dd></dd><dt>Attendees</dt>
<dd></dd><dt>Organizer_Domain</dt>
<dd></dd><dt>Organizer_FunctionType</dt>
<dd></dd><dt>Organizer_LevelDesignation</dt>
<dd></dd><dt>Organizer_Layer</dt>
<dd></dd><dt>Organizer_Region</dt>
<dd></dd><dt>Organizer_Organization</dt>
<dd></dd><dt>Organizer_zId</dt>
<dd></dd><dt>Organizer_attainment</dt>
<dd></dd><dt>Organizer_TimeZone</dt>
<dd></dd><dt>Organizer_HourlyRate</dt>
<dd></dd><dt>Organizer_IsInternal</dt>
<dd></dd><dt>Organizer_PersonId</dt>
<dd></dd><dt>IsCancelled</dt>
<dd></dd><dt>DurationHours</dt>
<dd></dd><dt>IsRecurring</dt>
<dd></dd><dt>Subject</dt>
<dd></dd><dt>TotalAccept</dt>
<dd></dd><dt>TotalNoResponse</dt>
<dd></dd><dt>TotalDecline</dt>
<dd></dd><dt>TotalNoEmailsDuringMeeting</dt>
<dd></dd><dt>TotalNoDoubleBooked</dt>
<dd></dd><dt>TotalNoAttendees</dt>
<dd></dd><dt>MeetingResources</dt>
<dd></dd><dt>Attendees_with_conflicting_meetings</dt>
<dd></dd><dt>Invitees</dt>
<dd></dd><dt>Emails_sent_during_meetings</dt>
<dd></dd><dt>Attendees_multitasking</dt>
<dd></dd><dt>Redundant_attendees</dt>
<dd></dd><dt>Total_meeting_cost</dt>
<dd></dd><dt>Total_redundant_hours</dt>
<dd></dd>
...</dl>

Format

Sample Meeting Query dataset — mt_data

A data frame with 2001 rows and 30 variables:<dl>
<dt>MeetingId</dt>
<dd></dd>

<dt>StartDate</dt>
<dd></dd>

<dt>StartTimeUTC</dt>
<dd></dd>

<dt>EndDate</dt>
<dd></dd>

<dt>EndTimeUTC</dt>
<dd></dd>

<dt>Attendee_meeting_hours</dt>
<dd></dd>

<dt>Attendees</dt>
<dd></dd>

<dt>Organizer_Domain</dt>
<dd></dd>

<dt>Organizer_FunctionType</dt>
<dd></dd>

<dt>Organizer_LevelDesignation</dt>
<dd></dd>

<dt>Organizer_Layer</dt>
<dd></dd>

<dt>Organizer_Region</dt>
<dd></dd>

<dt>Organizer_Organization</dt>
<dd></dd>

<dt>Organizer_zId</dt>
<dd></dd>

<dt>Organizer_attainment</dt>
<dd></dd>

<dt>Organizer_TimeZone</dt>
<dd></dd>

<dt>Organizer_HourlyRate</dt>
<dd></dd>

<dt>Organizer_IsInternal</dt>
<dd></dd>

<dt>Organizer_PersonId</dt>
<dd></dd>

<dt>IsCancelled</dt>
<dd></dd>

<dt>DurationHours</dt>
<dd></dd>

<dt>IsRecurring</dt>
<dd></dd>

<dt>Subject</dt>
<dd></dd>

<dt>TotalAccept</dt>
<dd></dd>

<dt>TotalNoResponse</dt>
<dd></dd>

<dt>TotalDecline</dt>
<dd></dd>

<dt>TotalNoEmailsDuringMeeting</dt>
<dd></dd>

<dt>TotalNoDoubleBooked</dt>
<dd></dd>

<dt>TotalNoAttendees</dt>
<dd></dd>

<dt>MeetingResources</dt>
<dd></dd>

<dt>Attendees_with_conflicting_meetings</dt>
<dd></dd>

<dt>Invitees</dt>
<dd></dd>

<dt>Emails_sent_during_meetings</dt>
<dd></dd>

<dt>Attendees_multitasking</dt>
<dd></dd>

<dt>Redundant_attendees</dt>
<dd></dd>

<dt>Total_meeting_cost</dt>
<dd></dd>

<dt>Total_redundant_hours</dt>
<dd></dd>


...

</dl>

Sample Meeting Query dataset

mt_data: Sample Meeting Query dataset

Description

Usage

Arguments

Value

Format

See Also