Man pages for vivainsights
Analyze and Visualize Data from 'Microsoft Viva Insights'
| afterhours_dist | Distribution of After-hours Collaboration Hours as a 100%... |
| afterhours_fizz | Distribution of After-hours Collaboration Hours (Fizzy Drink... |
| 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_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... |
| 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... |
| 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... |
| create_period_scatter | Period comparison scatter plot for any two metrics |
| create_rank | Rank all groups across HR attributes on a selected Viva... |
| create_rank_combine | Create combination pairs of HR variables and run... |
| create_sankey | Create a sankey chart from a two-column count table |
| create_scatter | Create a Scatter plot with two selected Viva Insights metrics... |
| create_stacked | Horizontal stacked bar plot for any metric |
| create_tracking | Create a line chart that tracks metrics over time with a... |
| 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... |
| external_dist | Distribution of External Collaboration Hours as a 100%... |
| external_fizz | Distribution of External Collaboration Hours (Fizzy Drink... |
| 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... |
| flag_em_ratio | Flag Persons with unusually high Email Hours to Emails Sent... |
| flag_extreme | Warn for extreme values by checking against a threshold |
| flag_outlooktime | Flag unusual outlook time settings for work day start and end... |
| 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... |
| 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... |
| hrvar_trend | Track count of distinct people over time in a specified HR... |
| 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... |
| 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... |
| identify_tenure | Tenure calculation based on different input dates, returns... |
| 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 |
| jitter_metrics | Jitter metrics in a data frame |
| keymetrics_scan | Run a summary of Key Metrics from the Standard Person Query... |
| 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... |
| 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... |
| pad2 | Create the two-digit zero-padded format |
| pairwise_count | Perform a pairwise count of words by id |
| pipe | Pipe operator |
| 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... |
| tm_freq | Perform a Word or Ngram Frequency Analysis and return a... |
| 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... |
| tstamp | Generate a time stamp |
| us_to_space | Replace underscore with space |
| validation_report | Generate a Data Validation report in HTML |
| vivainsights-package | vivainsights: Analyze and Visualize Data from 'Microsoft Viva... |
| wrap | Add a character at the start and end of a character string |
| wrap_text | Wrap text based on character threshold |
