Package index • vivainsights

All functions

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() afterhours_sum(): Summary of After-Hours Collaboration Hours

afterhours_trend(): After-Hours Time Trend

anonymise() anonymize(): 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() collab_area(): Collaboration - Stacked Area Plot

collaboration_dist() collab_dist(): Distribution of Collaboration Hours as a 100% stacked bar

collaboration_fizz() collab_fizz(): Distribution of Collaboration Hours (Fizzy Drink plot)

collaboration_line() collab_line(): Collaboration Time Trend - Line Chart

collaboration_rank() collab_rank(): Collaboration Ranking

collaboration_sum() collab_sum() collaboration_summary() collab_summary(): 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_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_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_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_tracking() experimental: 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_sum(): 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_summary(): 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() heat_colors(): Generate a vector of n contiguous colours, as a red-yellow-green palette.

hr_trend(): Employee count over time

hrvar_count() analysis_scope(): Create a count of distinct people in a specified HR variable

hrvar_count_all() experimental: 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() experimental: Identify date frequency based on a series of dates

identify_habit() experimental: 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() experimental: 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_sum(): 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() experimental: 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() experimental: 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() one2one_summary(): 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