R/create_period_scatter.R
create_period_scatter.Rd
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.
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"
)
A Standard Person Query dataset in the form of a data frame.
HR Variable by which to split metrics. Accepts a character vector, defaults to "Organization" but accepts any character vector, e.g. "LevelDesignation"
Character string containing the name of the metric, e.g. "Collaboration_hours"
Character string containing the name of the metric, e.g. "Collaboration_hours"
Start date of "before" time period in YYYY-MM-DD
End date of "before" time period in YYYY-MM-DD
Start date of "after" time period in YYYY-MM-DD
End date of "after" time period in YYYY-MM-DD
String to specify a label for the "before" period. Defaults to "Period 1".
String to specify a label for the "after" period. Defaults to "Period 2".
Numeric value setting the privacy threshold / minimum group size. Defaults to 5.
Character vector specifying what to return, defaults to "plot". Valid inputs are "plot" and "table".
Returns a 'ggplot' object showing two scatter plots side by side representing the two periods.
This is a general purpose function that powers all the functions in the package that produce faceted scatter plots.
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_inc()
,
create_line_asis()
,
create_line()
,
create_rank()
,
create_sankey()
,
create_scatter()
,
create_stacked()
,
create_tracking()
,
create_trend()
,
email_dist()
,
email_fizz()
,
email_line()
,
email_rank()
,
email_summary()
,
email_trend()
,
external_dist()
,
external_fizz()
,
external_line()
,
external_network_plot()
,
external_rank()
,
external_sum()
,
hr_trend()
,
hrvar_count()
,
hrvar_trend()
,
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_density()
,
create_dist()
,
create_fizz()
,
create_hist()
,
create_inc()
,
create_line_asis()
,
create_line()
,
create_rank()
,
create_sankey()
,
create_scatter()
,
create_stacked()
,
create_tracking()
,
create_trend()
,
period_change()
Other Time-series:
IV_by_period()
,
create_line_asis()
,
create_line()
,
create_trend()
,
period_change()
# 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")
#> Warning: `guides(<scale> = FALSE)` is deprecated. Please use `guides(<scale> = "none")` instead.
# Return a summary table
create_period_scatter(sq_data, before_end = "2019-12-31", return = "table")
#> Warning: `guides(<scale> = FALSE)` is deprecated. Please use `guides(<scale> = "none")` instead.
#> # A tibble: 30 × 5
#> group Multitasking_meeting_hours Meeting_hours Period n
#> <chr> <dbl> <dbl> <chr> <int>
#> 1 Biz Dev 0.257 6.82 Period 1 75
#> 2 Customer Service 0.436 8.60 Period 1 61
#> 3 Facilities 0.484 9.08 Period 1 72
#> 4 Finance-Corporate 0.310 8.19 Period 1 68
#> 5 Finance-East 0.789 11.4 Period 1 70
#> 6 Finance-South 0.617 8.91 Period 1 81
#> 7 Finance-West 0.765 10.5 Period 1 73
#> 8 Financial Planning 0.372 8.24 Period 1 75
#> 9 G&A Central 0.572 9.03 Period 1 57
#> 10 G&A East 0.329 7.70 Period 1 65
#> # … with 20 more rows