transform_customers: Modify the customers data.

In shahreyar-abeer/nadinewestr: Specific for Nadine West data analysis works

Description

Adds customer history to the customers data by joining the 4 data sets. Cleans some variables and also makes some new ones.

Usage

transform_customers(customers, customers_styles, address, income)

Arguments

customers	Data frame, from the customers.rds file
income	Data frame, from the median_income_by_zipcode.csv file
customer_styles	Data frame, from the customers_styles.rds file
addresses	Data frame, from the addresses.rds file

Details

Modifies/ Cleans:

• Modifies the top_quality & jewelry_quality columns in the customers data

• Cleans the style and the address

• Also cleans shipping_period & changed_periods

Adds:

• No_sh_periods, number of changed shipment periods

• age, fixes the birthdate

• age_group, groups them into categories

Value

Returns the customers data (a data frame) with the aforementioned modifications.

Examples

customers = readRDS('Data/Main_data/customers.rds')
customer_styles <- readRDS('Data/Main_data/customer_styles.rds')
addresses <- readRDS('Data/Main_data/addresses.rds')
income <- read.csv('Data/Auxiliary_data/median_income_by_zipcode.csv')
transformed_customers_data <- transform_customers(customers, customer_styles,
                                                  addresses, income)

shahreyar-abeer/nadinewestr documentation built on May 27, 2019, 1:06 a.m.