qc_transactional_data: The customer analytics data format (CADF) relays heavily on...
In CADF: Customer Analytics Data Formatting
View source: R/qc_transactional_data.R
qc_transactional_data R Documentation
The customer analytics data format (CADF) relays heavily on correct input data.
Transactional data must:
1.) be a data frame with two columns
2.) Column one is the customer id
3.) Column 2 is the transaction date. Column 2 must be formatted as a date object in R.
Description
The customer analytics data format (CADF) relays heavily on correct input data.
Transactional data must:
1.) be a data frame with two columns
2.) Column one is the customer id
3.) Column 2 is the transaction date. Column 2 must be formatted as a date object in R.
Usage
qc_transactional_data(x)
Arguments
x
R dataframe representing ..
Value
A number representing whether it passes or not.
CADF documentation built on Oct. 31, 2024, 5:08 p.m.
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View source: R/qc_transactional_data.R
| qc_transactional_data | R Documentation |
The customer analytics data format (CADF) relays heavily on correct input data. Transactional data must: 1.) be a data frame with two columns 2.) Column one is the customer id 3.) Column 2 is the transaction date. Column 2 must be formatted as a date object in R.
Description
The customer analytics data format (CADF) relays heavily on correct input data. Transactional data must: 1.) be a data frame with two columns 2.) Column one is the customer id 3.) Column 2 is the transaction date. Column 2 must be formatted as a date object in R.
Usage
qc_transactional_data(x)
Arguments
x |
R dataframe representing .. |
Value
A number representing whether it passes or not.
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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