Create a line chart that tracks metrics over time with a 4-week rolling average

Create a two-series line chart that visualizes a set of metric over time for the selected population, with one of the series being a four-week rolling average.

Usage

create_tracking(
  data,
  metric,
  plot_title = us_to_space(metric),
  plot_subtitle = "Measure over time",
  percent = 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" percentage signs. Defaults to FALSE.

plot_title

An option to override plot title.

plot_subtitle

An option to override plot subtitle.

percent

Logical value to determine whether to show labels as percentage signs. Defaults to FALSE.

Value

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

• "plot": 'ggplot' object. A time-series 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_trend(), email_dist(), email_fizz(), email_line(), email_rank(), email_summary(), 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 Flexible: create_bar(), create_bar_asis(), create_boxplot(), create_bubble(), create_density(), create_dist(), create_fizz(), create_hist(), create_inc(), create_line(), create_line_asis(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_trend()

Examples

pq_data %>%
  create_tracking(
    metric = "Collaboration_hours",
    percent = FALSE
  )