Analyze Todoist Data in R

Access Todoist 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 Todoist and the RJDBC package to work with remote Todoist 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 Todoist and visualize Todoist 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:

Connect to Todoist as a JDBC Data Source

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

• Driver Class: Set this to cdata.jdbc.api.APIDriver
• 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 Todoist:

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

Start by setting the Profile connection property to the location of the Todoist Profile on disk (e.g. C:\profiles\Todoist.apip). Next, set the ProfileSettings connection property to the connection string for Todoist (see below).

Todoist API Profile Settings

To authenticate to Todoist, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.

First, you will need to register an OAuth application with Todoist. To do so, go to App Management Console, create a new application and configure a valid OAuth redirect URL. Your Oauth application will be assigned a client id and a client secret.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to the client_id that is specified in you app settings.
• OAuthClientSecret: Set this to the client_secret that is specified in you app settings.
• CallbackURL: Set this to the Redirect URI that is specified in your app settings

Built-in Connection String Designer

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

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:

Schema Discovery

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

Execute SQL Queries

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

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

Plot Todoist Data

You can now analyze Todoist 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: