wpa (version 1.4.3)

create_period_scatter: Period comparison scatter plot for any two metrics

Description

Returns two side-by-side scatter plots representing two selected metrics, using colour to map an HR attribute and size to represent number of employees. Returns a faceted scatter plot by default, with additional options to return a summary table.

Usage

create_period_scatter(
  data,
  hrvar = "Organization",
  metric_x = "Multitasking_meeting_hours",
  metric_y = "Meeting_hours",
  before_start = min(as.Date(data$Date, "%m/%d/%Y")),
  before_end,
  after_start = as.Date(before_end) + 1,
  after_end = max(as.Date(data$Date, "%m/%d/%Y")),
  before_label = "Period 1",
  after_label = "Period 2",
  mingroup = 5,
  return = "plot"
)

Arguments

data

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

hrvar

HR Variable by which to split metrics. Accepts a character vector, defaults to "Organization" but accepts any character vector, e.g. "LevelDesignation"

metric_x

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

metric_y

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

before_start

Start date of "before" time period in YYYY-MM-DD

before_end

End date of "before" time period in YYYY-MM-DD

after_start

Start date of "after" time period in YYYY-MM-DD

after_end

End date of "after" time period in YYYY-MM-DD

before_label

String to specify a label for the "before" period. Defaults to "Period 1".

after_label

String to specify a label for the "after" period. Defaults to "Period 2".

mingroup

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

return

Character vector specifying what to return, defaults to "plot". Valid inputs are "plot" and "table".

Value

Returns a 'ggplot' object showing two scatter plots side by side representing the two periods.

Details

This is a general purpose function that powers all the functions in the package that produce faceted scatter plots.

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_bar(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_line_asis(), create_line(), 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_bar(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_hist(), create_line_asis(), create_line(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_trend(), period_change()

Other Time-series: IV_by_period(), create_line_asis(), create_line(), create_trend(), period_change()

Examples

# NOT RUN {
# Return plot
create_period_scatter(sq_data,
                      hrvar = "LevelDesignation",
                      before_start = "2019-11-03",
                      before_end = "2019-12-31",
                      after_start = "2020-01-01",
                      after_end = "2020-01-26")

# Return a summary table
create_period_scatter(sq_data, before_end = "2019-12-31", return = "table")


# }