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Get the Report →Analyze Microsoft Project Data in R
Use standard R functions and the development environment of your choice to analyze Microsoft Project data with the CData JDBC Driver for Microsoft Project.
Access Microsoft Project 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 Microsoft Project and the RJDBC package to work with remote Microsoft Project 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 Microsoft Project and visualize Microsoft Project 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 Microsoft Project as a JDBC Data Source
You will need the following information to connect to Microsoft Project as a JDBC data source:
- Driver Class: Set this to cdata.jdbc.microsoftproject.MicrosoftProjectDriver
- 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 Microsoft Project:
driver <- JDBC(driverClass = "cdata.jdbc.microsoftproject.MicrosoftProjectDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.microsoftproject.jar", identifier.quote = "'")
You can now use DBI functions to connect to Microsoft Project and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
The User and Password properties, under the Authentication section, must be set to valid Microsoft Project user credentials. In addition, you will need to specify a URL to a valid Microsoft Project server organization root or Microsoft Project services file.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Microsoft Project JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.microsoftproject.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:microsoftproject:User=myuseraccount;Password=mypassword;URL=http://myserver/myOrgRoot;")
Schema Discovery
The driver models Microsoft Project 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 Microsoft Project API:
projects <- dbGetQuery(conn,"SELECT ProjectName, ProjectActualCost FROM Projects")
You can view the results in a data viewer window with the following command:
View(projects)
Plot Microsoft Project Data
You can now analyze Microsoft Project 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(projects$ProjectActualCost, main="Microsoft Project Projects", names.arg = projects$ProjectName, horiz=TRUE)