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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_line()
Time Trend - Line Chart for any metric
create_line_asis()
Create a line chart without aggregation for any metric
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
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()
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_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
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()
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() 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
pq_data
Sample Person Query dataset
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