This is a wrapper function that combines summary_sale and
summary_churn
summary_initial(sale)
| sale | data frame: Table holding sales by year with a minimum of 2 variables (cust_id, year) |
|---|
Other functions for validating license data: check_dups,
count_lines_textfile,
summary_churn, summary_sale
data(sale) summary_initial(sale)#> Summarize Sales, Customers, & Churn: #> (Typical Churn: hunting: 20-45% --- fishing: 35-60%) #> (USFWS: https://wsfrprograms.fws.gov/Subpages/LicenseInfo/LicenseIndex.htm) #> ---------------------------------------------------------------------------- #> year churn change_cust customers change_sales sales #> 2009 42.2% 16.2% 7428 18.8% 12,860 #> 2010 45.5% 0.6% 7475 2.6% 13,189 #> 2011 47.8% -2.3% 7306 -4.6% 12,582 #> 2012 47.3% 1.9% 7447 -1.7% 12,364 #> 2013 48.5% -2.7% 7245 17.9% 14,575 #> 2014 46.6% 7.1% 7757 -1.4% 14,368 #> 2015 51.8% -1.3% 7660 0.3% 14,408 #> 2016 53.6% -1.2% 7568 -2.4% 14,066 #> 2017 53.8% 1.4% 7673 7.6% 15,128 #> 2018 55.0% -5.1% 7281 -5.2% 14,343