Use the CData ODBC Driver for Strava in SAS for Real-Time Reporting and Analytics

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for Strava, you gain database-like access to live Strava data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for Strava in SAS and create a simple report based on real-time Strava data.

The CData ODBC Driver offers unmatched performance for interacting with live Strava data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to Strava, the driver pushes supported SQL operations, like filters and aggregations, directly to Strava and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can easily visualize and analyze Strava data in SAS.

Connect to Strava as an ODBC Data Source

Information for connecting to Strava follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for Strava must be installed on the machine hosting the SAS System).

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

Using OAuth Authentication

You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:

1. Log into the Strava API Settings page
2. Create a new application or select an existing application
3. Set the "Authorization Callback Domain" to your callback URL domain (e.g. localhost)
4. Note down the Client ID and 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 from your Strava API application.
• OAuthClientSecret: Set this to the Client Secret from your Strava API application.
• CallbackURL: Set this to the redirect URI matching your application's callback domain.

Example connection string:

Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;

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 Strava 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 API Sys]
Driver = CData ODBC Driver for Strava
Description = My Description
Profile = C:\profiles\Strava.apip
AuthScheme = OAuth
InitiateOAuth = GETANDREFRESH
OAuthClientId = your_client_id
OAuthClientSecret = your_client_secret
CallbackURL = http://localhost:33333

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a Strava Library in SAS

Connect to Strava in SAS by adding a library based on the CData ODBC Driver for Strava.

1. Open SAS and expand Libraries in the Explorer pane.
2. In the Active Libraries window, right-click and select New.
3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
4. Set Data Source to the DSN you previously configured and click OK.

Create a View from a Strava Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live Strava data for reports, charts, and analytics.

Using the Query Tool

1. In SAS, click Tools -> Query
2. Select the table sources and the table(s) you wish to pull data from. Then, click OK.
3. Select columns and right-click to add filtering, ordering, grouping, etc.
4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK.

Using PROC SQL

1. In SAS, navigate to the Editor window.
2. Use PROC SQL to query the data and create a local view.
   NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.

   proc sql;
     create view athlete_view as
     select 
       , 
        
     from 
       odbclib.athlete 
     where 
        = '';
   quit;
   

3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Strava Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Strava data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

1. In SAS, navigate to the Editor window.
2. Use PROC PRINT to print an HTML report for the Strava Athlete data.

   proc print data=athlete;
     title "Strava Athlete Data";
   run;
   

   

Print a Chart

1. In SAS, navigate to the Editor window.
2. Use PROC GCHART to create a chart for the Athlete data.

   proc gchart data=athlete;
     pie  / sumvar=
         value=arrow
         percent=arrow
         noheading
         percent=inside plabel=(height=12pt)
         slice=inside value=none
         name='AthleteChart';
   run;