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wpa (version 1.4.3)

create_bar: Mean Bar Plot for any metric

Description

Provides an overview analysis of a selected metric by calculating a mean per metric. Returns a bar plot showing the average of a selected metric by default. Additional options available to return a summary table.

Usage

create_bar(
  data,
  metric,
  hrvar = "Organization",
  mingroup = 5,
  return = "plot",
  bar_colour = "default",
  na.rm = FALSE
)

Arguments

data

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

metric

Character string containing the name of the metric, e.g. "Collaboration_hours"

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.

bar_colour

String to specify colour to use for bars. In-built accepted values include "default" (default), "alert" (red), and "darkblue". Otherwise, hex codes are also accepted. You can also supply RGB values via rgb2hex().

na.rm

A logical value indicating whether NA should be stripped before the computation proceeds. Defaults to FALSE.

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_asis(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_line_asis(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_trend(), email_dist(), email_fizz(), email_line(), email_rank(), email_summary(), email_trend(), external_network_plot(), hr_trend(), hrvar_count(), internal_network_plot(), keymetrics_scan(), meeting_dist(), meeting_fizz(), meeting_line(), meeting_quality(), meeting_rank(), meeting_summary(), meeting_trend(), meetingtype_dist_ca(), meetingtype_dist_mt(), meetingtype_dist(), meetingtype_summary(), mgrcoatt_dist(), mgrrel_matrix(), one2one_dist(), one2one_fizz(), one2one_freq(), one2one_line(), one2one_rank(), one2one_sum(), one2one_trend(), period_change(), workloads_dist(), workloads_fizz(), workloads_line(), workloads_rank(), workloads_summary(), workloads_trend(), workpatterns_area(), workpatterns_rank()

Other Flexible: create_bar_asis(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_hist(), create_line_asis(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_trend(), period_change()

Examples

Run this code
# NOT RUN {
# Return a ggplot bar chart
create_bar(sq_data, metric = "Collaboration_hours", hrvar = "LevelDesignation")

# Change bar colour
create_bar(sq_data,
           metric = "After_hours_collaboration_hours",
           bar_colour = "alert")

# Return a summary table
create_bar(sq_data,
           metric = "Collaboration_hours",
           hrvar = "LevelDesignation",
           return = "table")
# }

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