| Distribution of After-hours Collaboration Hours as a 100% stacked bar | afterhours_dist |
| Distribution of After-hours Collaboration Hours (Fizzy Drink plot) | afterhours_fizz |
| After-hours Collaboration Time Trend - Line Chart | afterhours_line |
| Rank groups with high After-Hours Collaboration Hours | afterhours_rank |
| Summary of After-Hours Collaboration Hours | afterhours_sum afterhours_summary |
| After-Hours Time Trend | afterhours_trend |
| Anonymise a categorical variable by replacing values | anonymise anonymize |
| Identify whether variable is an IDate class. | any_idate |
| Convert "CamelCase" to "Camel Case" | camel_clean |
| Check whether a data frame contains all the required variable | check_inputs |
| Check a query to ensure that it is suitable for analysis | check_query |
| Collaboration - Stacked Area Plot | collaboration_area collab_area |
| Distribution of Collaboration Hours as a 100% stacked bar | collaboration_dist collab_dist |
| Distribution of Collaboration Hours (Fizzy Drink plot) | collaboration_fizz collab_fizz |
| Collaboration Time Trend - Line Chart | collaboration_line collab_line |
| Collaboration Ranking | collaboration_rank collab_rank |
| Collaboration Summary | collaboration_sum collaboration_summary collab_sum collab_summary |
| Collaboration Time Trend | collaboration_trend |
| Add comma separator for thousands | comma |
| Copy a data frame to clipboard for pasting in Excel | copy_df |
| Mean Bar Plot for any metric | create_bar |
| Create a bar chart without aggregation for any metric | create_bar_asis |
| Box Plot for any metric | create_boxplot |
| Create a bubble plot with two selected Viva Insights metrics (General Purpose), with size representing the number of employees in the group. | create_bubble |
| Create a density plot for any metric | create_density |
| Horizontal 100 percent stacked bar plot for any metric | create_dist |
| Create interactive tables in HTML with 'download' buttons. | create_dt |
| Fizzy Drink / Jittered Scatter Plot for any metric | create_fizz |
| Create a histogram plot for any metric | create_hist |
| Create an incidence analysis reflecting proportion of population scoring above or below a threshold for a metric | create_inc create_incidence |
| Estimate an effect of intervention on every Viva Insights metric in input file by applying single-group Interrupted Time-Series Analysis (ITSA) | create_itsa |
| Compute Information Value for Predictive Variables | create_IV |
| Time Trend - Line Chart for any metric | create_line |
| Create a line chart without aggregation for any metric | create_line_asis |
| Calculate the Lorenz Curve and Gini Coefficient in a Person Query | create_lorenz |
| Period comparison scatter plot for any two metrics | create_period_scatter |
| Radar Chart for multiple metrics | create_radar |
| Radar Chart (Calculation) | create_radar_calc |
| Radar Chart (Visualization) | create_radar_viz |
| Rank all groups across HR attributes on a selected Viva Insights metric | create_rank |
| Create combination pairs of HR variables and run 'create_rank()' | create_rank_combine |
| Generate Rogers Adoption Curve plots for Copilot usage | create_rogers |
| Create a sankey chart from a two-column count table | create_sankey |
| Create a Scatter plot with two selected Viva Insights metrics (General Purpose) | create_scatter |
| Horizontal stacked bar plot for any metric | create_stacked |
| Kaplan–Meier Survival Curve | create_survival |
| Kaplan–Meier Survival Curve (Calculation) | create_survival_calc |
| Prepare Survival Data from a Panel Dataset | create_survival_prep |
| Kaplan–Meier Survival Curve (Visualization) | create_survival_viz |
| Create a line chart that tracks metrics over time with a 4-week rolling average | create_tracking |
| Heat mapped horizontal bar plot over time for any metric | create_trend |
| Convert a numeric variable for hours into categorical | cut_hour |
| Distribution of Email Hours as a 100% stacked bar | email_dist |
| Distribution of Email Hours (Fizzy Drink plot) | email_fizz |
| Email Time Trend - Line Chart | email_line |
| Email Hours Ranking | email_rank |
| Email Summary | email_sum email_summary |
| Email Hours Time Trend | email_trend |
| Export 'vivainsights' outputs to CSV, clipboard, or save as images | export |
| Distribution of External Collaboration Hours as a 100% stacked bar | external_dist |
| Distribution of External Collaboration Hours (Fizzy Drink plot) | external_fizz |
| External Collaboration Hours Time Trend - Line Chart | external_line |
| Rank groups with high External Collaboration Hours | external_rank |
| External Collaboration Summary | external_sum external_summary |
| Extract date period | extract_date_range |
| Extract HR attribute variables | extract_hr |
| Flag unusual high collaboration hours to after-hours collaboration hours ratio | flag_ch_ratio |
| Flag Persons with unusually high Email Hours to Emails Sent ratio | flag_em_ratio |
| Warn for extreme values by checking against a threshold | flag_extreme |
| Flag unusual outlook time settings for work day start and end time | flag_outlooktime |
| Sample Group-to-Group dataset | g2g_data |
| Generate HTML report with list inputs | generate_report |
| Generate HTML report based on existing RMarkdown documents | generate_report2 |
| Generate a vector of 'n' contiguous colours, as a red-yellow-green palette. | heat_colors heat_colours |
| Employee count over time | hr_trend |
| Create a count of distinct people in a specified HR variable | analysis_scope hrvar_count |
| Create count of distinct fields and percentage of employees with missing values for all HR variables | hrvar_count_all |
| Track count of distinct people over time in a specified HR variable | hrvar_trend |
| Identify employees who have churned from the dataset | identify_churn |
| Identify date frequency based on a series of dates | identify_datefreq |
| Identify whether a habitual behaviour exists over a given interval of time | identify_habit |
| Identify Holiday Weeks based on outliers | identify_holidayweeks |
| Identify Inactive Weeks | identify_inactiveweeks |
| Identify Non-Knowledge workers in a Person Query using Collaboration Hours | identify_nkw |
| Identify metric outliers over a date interval | identify_outlier |
| Identify groups under privacy threshold | identify_privacythreshold |
| Identify Retention Rate Between Two Time Periods | identify_retention |
| Identify shifts based on outlook time settings for work day start and end time | identify_shifts |
| Tenure calculation based on different input dates, returns data summary table or histogram | identify_tenure |
| Identify Usage Segments based on a metric | identify_usage_segments |
| Import a query from Viva Insights Analyst Experience | import_query |
| Identify whether string is a date format | is_date_format |
| Generate a Information Value HTML Report | IV_report |
| Jitter metrics in a data frame | jitter_metrics |
| Run a summary of Key Metrics from the Standard Person Query data | keymetrics_scan |
| Run a summary of Key Metrics without aggregation | keymetrics_scan_asis |
| Max-Min Scaling Function | maxmin |
| Distribution of Meeting Hours as a 100% stacked bar | meeting_dist |
| Distribution of Meeting Hours (Fizzy Drink plot) | meeting_fizz |
| Meeting Time Trend - Line Chart | meeting_line |
| Meeting Hours Ranking | meeting_rank |
| Meeting Summary | meeting_sum meeting_summary |
| Generate a Meeting Text Mining report in HTML | meeting_tm_report |
| Meeting Hours Time Trend | meeting_trend |
| Sample Meeting Query dataset | mt_data |
| Create a network plot with the group-to-group query | network_g2g |
| Perform network analysis with the person-to-person query | network_p2p |
| Summarise node centrality statistics with an igraph object | network_summary |
| Distribution of Manager 1:1 Time as a 100% stacked bar | one2one_dist |
| Distribution of Manager 1:1 Time (Fizzy Drink plot) | one2one_fizz |
| Frequency of Manager 1:1 Meetings as bar or 100% stacked bar chart | one2one_freq |
| Manager 1:1 Time Trend - Line Chart | one2one_line |
| Manager 1:1 Time Ranking | one2one_rank |
| Manager 1:1 Time Summary | one2one_sum one2one_summary |
| Manager 1:1 Time Trend | one2one_trend |
| Sample person-to-person dataset | p2p_data |
| Simulate a person-to-person query using a Watts-Strogatz model | p2p_data_sim |
| Create the two-digit zero-padded format | pad2 |
| Perform a pairwise count of words by id | pairwise_count |
| Plot Usage Segments over time | plot_ts_us |
| Sample Person Query dataset | pq_data |
| Prepare variable names and types in query data frame for analysis | prep_query |
| Read preamble | read_preamble |
| Convert rgb to HEX code | rgb2hex |
| Main theme for 'vivainsights' visualisations | theme_wpa |
| Basic theme for 'vivainsights' visualisations | theme_wpa_basic |
| Clean subject line text prior to analysis | tm_clean |
| Analyse word co-occurrence in subject lines and return a network plot | tm_cooc |
| Perform a Word or Ngram Frequency Analysis and return a Circular Bar Plot | tm_freq |
| Generate a wordcloud with meeting subject lines | tm_wordcloud |
| Row-bind an identical data frame for computing grouped totals | totals_bind |
| Fabricate a 'Total' HR variable | totals_col |
| Sankey chart of organizational movement between HR attributes and missing values (outside company move) (Data Overview) | track_HR_change |
| Generate a time stamp | tstamp |
| Replace underscore with space | us_to_space |
| Generate a Data Validation report in HTML | validation_report |
| Add a character at the start and end of a character string | wrap |
| Wrap text based on character threshold | wrap_text |
| Calculate Chatterjee's Rank Correlation Coefficient | xicor |
