The function performs Overlap analysis by combining information from multiple
inputs into an analytic data set by providing counts of overlapping key
fields among pairs of inputs. For example, if an analytic data set is being
built to describe customers, it is useful to know whether the customer,
account, and transaction tables that provide information about customers
refer to the same customers.
Given inputs and corresponding column names, the Overlap analysis determines the number of instances of that column which each pair-wise combination of inputs has in common. The same can also be performed for multiple columns taken together.
Overlap analysis is used to process any data type that is comparable except those containing byte data.
td_overlap_valib(data1, columns1, ...)
Specifies the additional data and columns arguments that can be used with "data1" and "columns1" for Overlap analysis.
Function returns an object of class "td_overlap_valb" which is a
named list containing object of class "tbl_teradata".
Named list member can be referenced directly with the "$" operator using name: result.
# Notes: # 1. To execute Vantage Analytic Library functions, set option # 'val.install.location' to the database name where Vantage analytic # library functions are installed. # 2. Datasets used in these examples can be loaded using Vantage Analytic # Library installer. # Set the option 'val.install.location'. options(val.install.location = "SYSLIB") # Get remote data source connection. con <- td_get_context()$connection # Create and print objects of class "tbl_teradata". customer <- tbl(con, "customer") customer_analysis <- tbl(con, "customer_analysis") checking_tran <- tbl(con, "checking_tran") credit_tran <- tbl(con, "credit_tran") savings_tran <- tbl(con, "savings_tran") print(customer) print(customer_analysis) print(checking_tran) print(credit_tran) print(savings_tran) # Example 1: Run Overlap analysis on 'cust_id' column present in the # input objects 'customer' and 'customer_analysis' of class # "tbl_teradata". overlap_obj <- td_overlap_valib(data1=customer, data2=customer_analysis, columns1=c("cust_id"), columns2="cust_id") # Print the results. print(overlap_obj$result) # Example 2: Run Overlap analysis on columns 'cust_id' and 'tran_id' present # in the input objects 'checking_tran', 'credit_tran' and # 'savings_tran' of class "tbl_teradata". overlap_obj <- td_overlap_valib(data1=checking_tran, data2=credit_tran, data3=savings_tran, columns1=c("cust_id", "tran_id"), columns2=c("cust_id", "tran_id"), columns3=c("cust_id", "tran_id")) # Print the results. print(overlap_obj$result)