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Analyze OFX Data in R

Use standard R functions and the development environment of your choice to analyze OFX data with the CData JDBC Driver for OFX.

Access OFX data with pure R script and standard SQL on any machine where R and Java can be installed. You can use the CData JDBC Driver for OFX and the RJDBC package to work with remote OFX 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 OFX and visualize OFX data by calling standard R functions.

Install R

You can match the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running open R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open 3.2.3, which is preconfigured to install packages from the Jan. 1, 2016 snapshot of the CRAN repository. This snapshot ensures reproducibility.

Load the RJDBC Package

To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:

library(RJDBC)

Connect to OFX as a JDBC Data Source

You will need the following information to connect to OFX as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.ofx.OFXDriver
  • Classpath: Set this to the location of the driver JAR. By default this is the lib subfolder of the installation folder.

The DBI functions, such as dbConnect and dbSendQuery, provide a unified interface for writing data access code in R. Use the following line to initialize a DBI driver that can make JDBC requests to the CData JDBC Driver for OFX:

driver <- JDBC(driverClass = "cdata.jdbc.ofx.OFXDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.ofx.jar", identifier.quote = "'")

You can now use DBI functions to connect to OFX and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

The OFXUser and OFXPassword properties, under the Authentication section, must be set to valid OFX user credentials. In addition to this, you will need to configure FIURL, FIOrganizationName, and FIID, which will be specific for the financial institution. You will also need to provide application-specific settings, including OFXVersion, ApplicationVersion, and ApplicationId.

To connect to some services, you will need to provide additional account information such as AccountId, AccountType, BankId, BrokerId, and CCNumber.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the OFX JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.ofx.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample dbConnect call, including a typical JDBC connection string:

conn <- dbConnect(driver,"jdbc:ofx:OFXUser=myUser;OFXPassword=myPassword;FIID=myFIID;")

Schema Discovery

The driver models OFX APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:

dbListTables(conn)

Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the OFX API:

invbalances <- dbGetQuery(conn,"SELECT Id, Amount FROM InvBalances")

You can view the results in a data viewer window with the following command:

View(invbalances)

Plot OFX Data

You can now analyze OFX 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(invbalances$Amount, main="OFX InvBalances", names.arg = invbalances$Id, horiz=TRUE)