Prepare_Data: Automated data processing and preparation for BBN model...
In supratim1121992/BBNAutoPrep: Automated Data Inspection & Pre-processing
Description
Usage
Arguments
Value
Description
The function reads the input raw data, provides the user a set of options to treat the data and writes out an
aggregated data with all the variables treated.
Usage
1
Prepare_Data(prm = F)
Arguments
prm
Logical. If set to TRUE, the functions filters the data for an additional category. For the US market,
use prm = TRUE to filter for both Retailer and Promo Family. For the India market, can be used to filter for both
Brand and Cluster in case consolidated data for multiple brands is provided in a single file.
Value
A list containing the aggregated processed data, the time period and scope document information along
with the path of the working directory. These are read as input in the Transform_Data function.
supratim1121992/BBNAutoPrep documentation built on Dec. 1, 2019, 4:59 p.m.
R Package Documentation
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Description Usage Arguments Value
Description
The function reads the input raw data, provides the user a set of options to treat the data and writes out an aggregated data with all the variables treated.
Usage
1 | Prepare_Data(prm = F)
|
Arguments
prm |
Logical. If set to TRUE, the functions filters the data for an additional category. For the US market, use prm = TRUE to filter for both Retailer and Promo Family. For the India market, can be used to filter for both Brand and Cluster in case consolidated data for multiple brands is provided in a single file. |
Value
A list containing the aggregated processed data, the time period and scope document information along with the path of the working directory. These are read as input in the Transform_Data function.
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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