Description Usage Arguments See Also
Percent of customers: (based on deduplicated count) with extra
rows in the raw customer ID table. This will give a lower percentage
than check_dups
because it only counts duplicated
customers once. I consider this to be a more meaningful measure of the
customer duplication rate.
1 | cust_dup_pct(cust, cust_dup, return_msg = TRUE)
|
cust |
input customer table |
cust_dup |
table of customers (with dups) produced by
|
return_msg |
If TRUE, returns a message with the duplication percentage, otherwise, the duplication percentage measure |
Other finalize production data:
cust_dup_demo_plot()
,
cust_dup_demo()
,
cust_dup_identify()
,
cust_dup_nomissing()
,
cust_dup_pull()
,
cust_dup_samp()
,
cust_dup_year()
,
res_id
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