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Get the Report →Analyze Authorize.Net Data in R
Create data visualizations and use high-performance statistical functions to analyze Authorize.Net data in Microsoft R Open.
Access Authorize.Net data with pure R script and standard SQL. You can use the CData ODBC Driver for Authorize.Net and the RODBC package to work with remote Authorize.Net data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to Authorize.Net data and visualize Authorize.Net data in R.
Install R
You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).
Connect to Authorize.Net as an ODBC Data Source
Information for connecting to Authorize.Net follows, along with different instructions for configuring a DSN in Windows and Linux environments.
You can obtain the necessary connection properties on the Security Settings -> General Settings page after logging into your Merchant Account.
- UseSandbox: The Authorize.Net API to be used to process transactions. If you are using a production account, this property can be left blank. If you are using a developer test account, set this to 'TRUE'.
- LoginID: The API login Id associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions. Note that this value is not the same as the login Id that you use to log in to the Merchant Interface.
- TransactionKey: The transaction key associated with your payment gateway account. This property is used to authenticate that you are authorized to submit website transactions.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Windows
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Linux
If you are installing the CData ODBC Driver for Authorize.Net in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.
/etc/odbc.ini
[CData AuthorizeNet Source]
Driver = CData ODBC Driver for Authorize.Net
Description = My Description
LoginId = MyLoginId
TransactionKey = MyTransactionKey
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Load the RODBC Package
To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.
After installing the RODBC package, the following line loads the package:
library(RODBC)
Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.
library(checkpoint)
checkpoint("2016-01-01")
Connect to Authorize.Net Data as an ODBC Data Source
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData AuthorizeNet Source")
Schema Discovery
The driver models Authorize.Net APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Execute SQL Queries
Use the sqlQuery function to execute any SQL query supported by the Authorize.Net API.
settledbatchlist <- sqlQuery(conn, "SELECT MarketType, TotalCharge FROM SettledBatchList", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(settledbatchlist)
Plot Authorize.Net Data
You can now analyze Authorize.Net data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:
par(las=2,ps=10,mar=c(5,15,4,2))
barplot(settledbatchlist$TotalCharge, main="Authorize.Net SettledBatchList", names.arg = settledbatchlist$MarketType, horiz=TRUE)