Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →Use the CData ODBC Driver for PayPal in SAS JMP
You can use the CData ODBC Driver to integrate PayPal data into the statistical analysis tools available in SAS JMP. This article shows how to use PayPal data in the Graph Builder and Query Builder.
You can use the CData ODBC Driver for PayPal to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the PayPal API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.
This article shows how to access PayPal data into a report and create data visualization. It also shows how to use SQL to query PayPal data from the JMP Query Builder.
Access PayPal Data as an ODBC Data Source
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.
The provider surfaces tables from two PayPal APIs. The APIs use different authentication methods.
- The REST API uses the OAuth standard. To authenticate to the REST API, you will need to set the OAuthClientId, OAuthClientSecret, and CallbackURL properties.
- The Classic API requires Signature API credentials. To authenticate to the Classic API, you will need to obtain an API username, password, and signature.
See the "Getting Started" chapter of the help documentation for a guide to obtaining the necessary API credentials.
To select the API you want to work with, you can set the Schema property to REST or SOAP. By default the SOAP schema will be used.
For testing purposes you can set UseSandbox to true and use sandbox credentials.
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.
Import PayPal Data with the Query Builder
After you have created the PayPal DSN, you can use SQL to invoke the capabilities of the PayPal API. Follow the steps below to execute some supported queries in the Query Builder:
- In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
- Click New Connection.
- On the Machine Data Source tab, select the ODBC DSN you configured and then click Next.
- The Select Tables for Query dialog is displayed and in the Available Tables section, select a table and click Primary. After choosing the primary table, click Build Query to open the Query Builder.
- As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated and you can view the generated SQL Query in the SQL tab.
- Click Run Query to display the data.
- To refresh the results with the current data, right-click Update from Database and click Run Script.
Visualize PayPal Data
After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.
- Drag a dimension column onto the x axis. For example, Date.
- Drag a measure column onto the y axis. For example, GrossAmount.
- Select a chart type. For example, a bar chart.