Analyze Autify Data in R

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Autify ODBC Driver

The Autify ODBC Driver is a powerful tool that allows you to connect with live Autify data, directly from any applications that support ODBC connectivity.

Access Autify testing senarios and results from virtually anywhere through a standard ODBC Driver interface.



Create data visualizations and use high-performance statistical functions to analyze Autify data in Microsoft R Open.

Access Autify data with pure R script and standard SQL. You can use the CData ODBC Driver for Autify and the RODBC package to work with remote Autify 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 Autify data and visualize Autify data in R.

Install R

You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).

Connect to Autify as an ODBC Data Source

Information for connecting to Autify follows, along with different instructions for configuring a DSN in Windows and Linux environments.

In order to authenticate, you must specify the Autify API Key and Project ID:

  • ApiKey: Log into your account and go to Configurations/Personal Settings and create "New personal access token".
  • ProjectId: ID of the project in your account URL. For ex: If URL is "https://app.autify.com/projects/343/scenarios", 343 is your ProjectId.

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 Autify 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 Autify Source] Driver = CData ODBC Driver for Autify Description = My Description ProjectId = 255 ApiKey = M9e88D3s31b35347EgNVa

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

Load the RODBC Package

To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.

After installing the RODBC package, the following line loads the package:

library(RODBC)

Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.

library(checkpoint) checkpoint("2016-01-01")

Connect to Autify Data as an ODBC Data Source

You can connect to a DSN in R with the following line:

conn <- odbcConnect("CData Autify Source")

Schema Discovery

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

sqlTables(conn)

Execute SQL Queries

Use the sqlQuery function to execute any SQL query supported by the Autify API.

scenarios <- sqlQuery(conn, "SELECT Name, ProjectURL FROM Scenarios WHERE Id = '46292'", believeNRows=FALSE, rows_at_time=1)

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

View(scenarios)

Plot Autify Data

You can now analyze Autify 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(scenarios$ProjectURL, main="Autify Scenarios", names.arg = scenarios$Name, horiz=TRUE)