Analyze Asana Data in R

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Asana JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Asana.



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

Access Asana 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 Asana and the RJDBC package to work with remote Asana 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 Asana and visualize Asana 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 Asana as a JDBC Data Source

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

  • Driver Class: Set this to cdata.jdbc.asana.AsanaDriver
  • 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 Asana:

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

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

You can optionally set the following to refine the data returned from Asana.

  • WorkspaceId: Set this to the globally unique identifier (gid) associated with your Asana Workspace to only return projects from the specified workspace. To get your workspace id, navigate to https://app.asana.com/api/1.0/workspaces while logged into Asana. This displays a JSON object containing your workspace name and Id.
  • ProjectId: Set this to the globally unique identifier (gid) associated with your Asana Project to only return data mapped under the specified project. Project IDs can be found in the URL of your project's Overview page. This will be the numbers directly after /0/.

Connect Using OAuth Authentication

You must use OAuth to authenticate with Asana. OAuth requires the authenticating user to interact with Asana using the browser. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Built-in Connection String Designer

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

java -jar cdata.jdbc.asana.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:asana:OAuthClientId=YourClientId;OAuthClientSecret=YourClientSecret;CallbackURL='http://localhost:33333';InitiateOAuth=GETANDREFRESH")

Schema Discovery

The driver models Asana 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 Asana API:

projects <- dbGetQuery(conn,"SELECT Id, WorkspaceId FROM projects WHERE Archived = 'true'")

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

View(projects)

Plot Asana Data

You can now analyze Asana 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$WorkspaceId, main="Asana projects", names.arg = projects$Id, horiz=TRUE)