IV_report               Generate a Information Value HTML Report
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_summary      Summary of After-Hours Collaboration Hours
afterhours_trend        After-Hours Time Trend
anonymise               Anonymise a categorical variable by replacing
                        values
any_idate               Identify whether variable is an IDate class.
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_trend     Collaboration Time Trend
comma                   Add comma separator for thousands
copy_df                 Copy a data frame to clipboard for pasting in
                        Excel
create_IV               Compute Information Value for Predictive
                        Variables
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_itsa             Estimate an effect of intervention on every
                        Viva Insights metric in input file by applying
                        single-group Interrupted Time-Series Analysis
                        (ITSA)
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_radar            Radar Chart for multiple metrics
create_radar_calc       Radar Chart (Calculation)
create_radar_viz        Radar Chart (Visualization)
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_rogers           Generate Rogers Adoption Curve plots for
                        Copilot usage
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_survival         Kaplan–Meier Survival Curve
create_survival_calc    Kaplan–Meier Survival Curve (Calculation)
create_survival_prep    Prepare Survival Data from a Panel Dataset
create_survival_viz     Kaplan–Meier Survival Curve (Visualization)
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
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_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
extract_date_range      Extract date period
extract_hr              Extract HR attribute variables
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
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
heat_colours            Generate a vector of 'n' contiguous colours, as
                        a red-yellow-green palette.
hr_trend                Employee count over time
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
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_retention      Identify Retention Rate Between Two Time
                        Periods
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
jitter_metrics          Jitter metrics in a data frame
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
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_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
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
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_trend           Manager 1:1 Time Trend
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
read_preamble           Read preamble
rgb2hex                 Convert rgb to HEX code
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
us_to_space             Replace underscore with space
validation_report       Generate a Data Validation report in HTML
wrap                    Add a character at the start and end of a
                        character string
wrap_text               Wrap text based on character threshold
xicor                   Calculate Chatterjee's Rank Correlation
                        Coefficient
