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Email Summary

Source: R/email_summary.R
email_summary.Rd

Provides an overview analysis of weekly email hours. Returns a bar plot showing average weekly email hours by default. Additional options available to return a summary table.

Usage

email_summary(data, hrvar = "Organization", mingroup = 5, return = "plot")

email_sum(data, hrvar = "Organization", mingroup = 5, return = "plot")

Arguments

data

A Standard Person Query dataset in the form of a data frame.

hrvar

String containing the name of the HR Variable by which to split metrics. Defaults to "Organization". To run the analysis on the total instead of splitting by an HR attribute, supply NULL (without quotes).

mingroup

Numeric value setting the privacy threshold / minimum group size. Defaults to 5.

return

String specifying what to return. This must be one of the following strings:

  • "plot"

  • "table"

See Value for more information.

Value

A different output is returned depending on the value passed to the return argument:

  • "plot": 'ggplot' object. A bar plot for the metric.

  • "table": data frame. A summary table for the metric.

See also

Other Visualization: afterhours_dist(), afterhours_fizz(), afterhours_line(), afterhours_rank(), afterhours_summary(), afterhours_trend(), collaboration_area(), collaboration_dist(), collaboration_fizz(), collaboration_line(), collaboration_rank(), collaboration_sum(), collaboration_trend(), create_bar(), create_bar_asis(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_inc(), create_line(), create_line_asis(), create_period_scatter(), create_rank(), create_rogers(), create_sankey(), create_scatter(), create_stacked(), create_tracking(), create_trend(), email_dist(), email_fizz(), email_line(), email_rank(), email_trend(), external_dist(), external_fizz(), external_line(), external_rank(), external_sum(), hr_trend(), hrvar_count(), hrvar_trend(), keymetrics_scan(), meeting_dist(), meeting_fizz(), meeting_line(), meeting_rank(), meeting_summary(), meeting_trend(), one2one_dist(), one2one_fizz(), one2one_freq(), one2one_line(), one2one_rank(), one2one_sum(), one2one_trend()

Other Emails: email_dist(), email_fizz(), email_line(), email_rank(), email_trend()

Examples

# Return a ggplot bar chart
email_summary(pq_data, hrvar = "LevelDesignation")


# Return a summary table
email_summary(pq_data, hrvar = "LevelDesignation", return = "table")
#> # A tibble: 4 × 3
#>   group          Email_hours     n
#>   <chr>                <dbl> <int>
#> 1 Executive             8.83    37
#> 2 Junior IC             8.72   136
#> 3 Senior IC             8.82    87
#> 4 Senior Manager        8.70    40