sumRevenue: Sum revenue by group

In chrischizinski/huntfishapp: Exploratory Data Analysis Application for Hunting, Fishing, and Outdoor Recreation

Description

Calculate total revenue by group. Total revenue is the sum price variable.

Usage

sumRevenue(df, groupVars = NULL)

Arguments

df	A data frame
groupVars	A character vector of variable names to group by

Value

A dataframe with columns for grouping variables and a column named revenue for total revenue

See Also

Other analysis functions: calcChurn, calcGenderProportion, calcParticipation, calcRecruitment, countCustomers, countItems, itemGroupCount

Examples

# Demo data: Calculate revenue each year from fishing licenses between 2010
# and 2017
filterData(
  dataSource = "csv",
  activeFilters = list(itemType = "Fish", itemYear = c(2010, 2017))
) %>%
  sumRevenue(c("itemYear", "itemType"))
## Not run: 
# Database connection. Suggest using keyring package to avoid hardcoding
# passwords
myConn <- DBI::dbConnect(odbc::odbc(),
  dsn = "HuntFishApp", # Your datasource name
  uid = keyring::key_get("HuntFishAppUID"), # Your username
  pwd = keyring::key_get("HuntFishAppPWD")
) # Your password

# SQL Backend: Calculate revenue each year from fishing licenses between 2010
# and 2017
filterData(
  dataSource = "sql",
  conn = myConn,
  activeFilters = list(itemType = "Fish", itemYear = c(2010, 2017))
) %>%
  sumRevenue(c("itemYear", "itemType"))

## End(Not run)

chrischizinski/huntfishapp documentation built on Sept. 7, 2020, 12:14 p.m.