cust: Sample Standardized Data: 30,000 Customers
In southwick-associates/salic: Prepare Agency Dashboard Data
Description
Sample Standardized Data: 30,000 Customers
Format
A data frame with 3 variables
- cust_id
Customer ID (numeric) (primary key) - Note that IDs can be stored
as character, but this is less efficient.
- sex
Gender (numeric) (1=Male, 2=Female, NA=Unknown)
- birth_year
Year of Birth (numeric) (yyyy, NA=Unknown)
See Also
Salic Function Reference: salic
Other Sample Data: dashboard,
data_salic, history,
lic, metrics,
sale
southwick-associates/salic documentation built on Nov. 5, 2019, 9:13 a.m.
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Description
Sample Standardized Data: 30,000 Customers
Format
A data frame with 3 variables
- cust_id
Customer ID (numeric) (primary key) - Note that IDs can be stored as character, but this is less efficient.
- sex
Gender (numeric) (1=Male, 2=Female, NA=Unknown)
- birth_year
Year of Birth (numeric) (yyyy, NA=Unknown)
See Also
Salic Function Reference: salic
Other Sample Data: dashboard,
data_salic, history,
lic, metrics,
sale
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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