summarize_trend: Summarize trend for either participants or churn

In southwick-associates/sadash: Prepare Agency Dashboard Data for state-level dashboards

Description

To be run from run_visual_dive for preparing data for plot_trend

Usage

summarize_trend(
  priv,
  down = "None",
  across = "None",
  metric = "participants",
  pct = 10
)

Arguments

priv	data for one permission
down	variable name for optional facetting down. If "None", no facetting will be done.
across	variable name for optional facetting across. If "None", no facetting will be done.
metric	name of metric to summarize, either "participants" or "churn"
pct	sample size (in whole percentage points) for hist_samp

See Also

Other data dive functions: drop_state_code(), filter_demo(), get_county_map_dive(), load_cust_samp(), plot_county_dive(), plot_dist(), plot_trend(), run_visual_dive(), set_nonres_county_na(), set_other_county_na()

Examples

data(hist_samp)
priv <- dplyr::filter(hist_samp, priv == "all_sports")
summarize_trend(priv, pct = 1)
summarize_trend(priv, "sex", "age", pct = 1)

summarize_trend(priv, metric = "churn")
summarize_trend(priv, "age", metric = "churn")

southwick-associates/sadash documentation built on Jan. 6, 2022, 5:17 p.m.