Analyze and Visualize Data from 'Microsoft Viva Insights'

Documentation for package ‘vivainsights’ version 0.6.2

Help Pages

-- A --

afterhours_dist	Distribution of After-hours Collaboration Hours as a 100% stacked bar
afterhours_fizz	Distribution of After-hours Collaboration Hours (Fizzy Drink plot)
afterhours_line	After-hours Collaboration Time Trend - Line Chart
afterhours_rank	Rank groups with high After-Hours Collaboration Hours
afterhours_sum	Summary of After-Hours Collaboration Hours
afterhours_summary	Summary of After-Hours Collaboration Hours
afterhours_trend	After-Hours Time Trend
analysis_scope	Create a count of distinct people in a specified HR variable
anonymise	Anonymise a categorical variable by replacing values
anonymize	Anonymise a categorical variable by replacing values
any_idate	Identify whether variable is an IDate class.

-- C --

camel_clean	Convert "CamelCase" to "Camel Case"
check_inputs	Check whether a data frame contains all the required variable
check_query	Check a query to ensure that it is suitable for analysis
collaboration_area	Collaboration - Stacked Area Plot
collaboration_dist	Distribution of Collaboration Hours as a 100% stacked bar
collaboration_fizz	Distribution of Collaboration Hours (Fizzy Drink plot)
collaboration_line	Collaboration Time Trend - Line Chart
collaboration_rank	Collaboration Ranking
collaboration_sum	Collaboration Summary
collaboration_summary	Collaboration Summary
collaboration_trend	Collaboration Time Trend
collab_area	Collaboration - Stacked Area Plot
collab_dist	Distribution of Collaboration Hours as a 100% stacked bar
collab_fizz	Distribution of Collaboration Hours (Fizzy Drink plot)
collab_line	Collaboration Time Trend - Line Chart
collab_rank	Collaboration Ranking
collab_sum	Collaboration Summary
collab_summary	Collaboration Summary
comma	Add comma separator for thousands
copy_df	Copy a data frame to clipboard for pasting in Excel
create_bar	Mean Bar Plot for any metric
create_bar_asis	Create a bar chart without aggregation for any metric
create_boxplot	Box Plot for any metric
create_bubble	Create a bubble plot with two selected Viva Insights metrics (General Purpose), with size representing the number of employees in the group.
create_density	Create a density plot for any metric
create_dist	Horizontal 100 percent stacked bar plot for any metric
create_dt	Create interactive tables in HTML with 'download' buttons.
create_fizz	Fizzy Drink / Jittered Scatter Plot for any metric
create_hist	Create a histogram plot for any metric
create_inc	Create an incidence analysis reflecting proportion of population scoring above or below a threshold for a metric
create_incidence	Create an incidence analysis reflecting proportion of population scoring above or below a threshold for a metric
create_itsa	Estimate an effect of intervention on every Viva Insights metric in input file by applying single-group Interrupted Time-Series Analysis (ITSA)
create_IV	Compute Information Value for Predictive Variables
create_line	Time Trend - Line Chart for any metric
create_line_asis	Create a line chart without aggregation for any metric
create_lorenz	Calculate the Lorenz Curve and Gini Coefficient in a Person Query
create_period_scatter	Period comparison scatter plot for any two metrics
create_rank	Rank all groups across HR attributes on a selected Viva Insights metric
create_rank_combine	Create combination pairs of HR variables and run 'create_rank()'
create_sankey	Create a sankey chart from a two-column count table
create_scatter	Create a Scatter plot with two selected Viva Insights metrics (General Purpose)
create_stacked	Horizontal stacked bar plot for any metric
create_tracking	Create a line chart that tracks metrics over time with a 4-week rolling average
create_trend	Heat mapped horizontal bar plot over time for any metric
cut_hour	Convert a numeric variable for hours into categorical

-- E --

email_dist	Distribution of Email Hours as a 100% stacked bar
email_fizz	Distribution of Email Hours (Fizzy Drink plot)
email_line	Email Time Trend - Line Chart
email_rank	Email Hours Ranking
email_sum	Email Summary
email_summary	Email Summary
email_trend	Email Hours Time Trend
export	Export 'vivainsights' outputs to CSV, clipboard, or save as images
external_dist	Distribution of External Collaboration Hours as a 100% stacked bar
external_fizz	Distribution of External Collaboration Hours (Fizzy Drink plot)
external_line	External Collaboration Hours Time Trend - Line Chart
external_rank	Rank groups with high External Collaboration Hours
external_sum	External Collaboration Summary
external_summary	External Collaboration Summary
extract_date_range	Extract date period
extract_hr	Extract HR attribute variables

-- F --

flag_ch_ratio	Flag unusual high collaboration hours to after-hours collaboration hours ratio
flag_em_ratio	Flag Persons with unusually high Email Hours to Emails Sent ratio
flag_extreme	Warn for extreme values by checking against a threshold
flag_outlooktime	Flag unusual outlook time settings for work day start and end time

-- G --

g2g_data	Sample Group-to-Group dataset
generate_report	Generate HTML report with list inputs
generate_report2	Generate HTML report based on existing RMarkdown documents

-- H --

heat_colors	Generate a vector of 'n' contiguous colours, as a red-yellow-green palette.
heat_colours	Generate a vector of 'n' contiguous colours, as a red-yellow-green palette.
hrvar_count	Create a count of distinct people in a specified HR variable
hrvar_count_all	Create count of distinct fields and percentage of employees with missing values for all HR variables
hrvar_trend	Track count of distinct people over time in a specified HR variable
hr_trend	Employee count over time

-- I --

identify_churn	Identify employees who have churned from the dataset
identify_datefreq	Identify date frequency based on a series of dates
identify_habit	Identify whether a habitual behaviour exists over a given interval of time
identify_holidayweeks	Identify Holiday Weeks based on outliers
identify_inactiveweeks	Identify Inactive Weeks
identify_nkw	Identify Non-Knowledge workers in a Person Query using Collaboration Hours
identify_outlier	Identify metric outliers over a date interval
identify_privacythreshold	Identify groups under privacy threshold
identify_shifts	Identify shifts based on outlook time settings for work day start and end time
identify_tenure	Tenure calculation based on different input dates, returns data summary table or histogram
identify_usage_segments	Identify Usage Segments based on a metric
import_query	Import a query from Viva Insights Analyst Experience
is_date_format	Identify whether string is a date format
IV_report	Generate a Information Value HTML Report

-- J --

jitter_metrics

Jitter metrics in a data frame

-- K --

keymetrics_scan	Run a summary of Key Metrics from the Standard Person Query data
keymetrics_scan_asis	Run a summary of Key Metrics without aggregation

-- M --

maxmin	Max-Min Scaling Function
meeting_dist	Distribution of Meeting Hours as a 100% stacked bar
meeting_fizz	Distribution of Meeting Hours (Fizzy Drink plot)
meeting_line	Meeting Time Trend - Line Chart
meeting_rank	Meeting Hours Ranking
meeting_sum	Meeting Summary
meeting_summary	Meeting Summary
meeting_tm_report	Generate a Meeting Text Mining report in HTML
meeting_trend	Meeting Hours Time Trend
mt_data	Sample Meeting Query dataset

-- N --

network_g2g	Create a network plot with the group-to-group query
network_p2p	Perform network analysis with the person-to-person query
network_summary	Summarise node centrality statistics with an igraph object

-- O --

one2one_dist	Distribution of Manager 1:1 Time as a 100% stacked bar
one2one_fizz	Distribution of Manager 1:1 Time (Fizzy Drink plot)
one2one_freq	Frequency of Manager 1:1 Meetings as bar or 100% stacked bar chart
one2one_line	Manager 1:1 Time Trend - Line Chart
one2one_rank	Manager 1:1 Time Ranking
one2one_sum	Manager 1:1 Time Summary
one2one_summary	Manager 1:1 Time Summary
one2one_trend	Manager 1:1 Time Trend

-- P --

p2p_data	Sample person-to-person dataset
p2p_data_sim	Simulate a person-to-person query using a Watts-Strogatz model
pad2	Create the two-digit zero-padded format
pairwise_count	Perform a pairwise count of words by id
plot_ts_us	Plot Usage Segments over time
pq_data	Sample Person Query dataset
prep_query	Prepare variable names and types in query data frame for analysis

-- R --

read_preamble	Read preamble
rgb2hex	Convert rgb to HEX code

-- T --

theme_wpa	Main theme for 'vivainsights' visualisations
theme_wpa_basic	Basic theme for 'vivainsights' visualisations
tm_clean	Clean subject line text prior to analysis
tm_cooc	Analyse word co-occurrence in subject lines and return a network plot
tm_freq	Perform a Word or Ngram Frequency Analysis and return a Circular Bar Plot
tm_wordcloud	Generate a wordcloud with meeting subject lines
totals_bind	Row-bind an identical data frame for computing grouped totals
totals_col	Fabricate a 'Total' HR variable
track_HR_change	Sankey chart of organizational movement between HR attributes and missing values (outside company move) (Data Overview)
tstamp	Generate a time stamp

-- U --

us_to_space

Replace underscore with space

-- V --

validation_report

Generate a Data Validation report in HTML

-- W --

wrap	Add a character at the start and end of a character string
wrap_text	Wrap text based on character threshold

-- X --

xicor

Calculate Chatterjee's Rank Correlation Coefficient