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

With the Twitter ODBC Driver accessing live Tweets, Followers, Messages, Searches, etc. is as easy as querying a database.

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Analyze Twitter Data in R


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

Access Twitter data with pure R script and standard SQL. You can use the CData ODBC Driver for Twitter and the RODBC package to work with remote Twitter 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 Twitter data and visualize Twitter 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 Twitter as an ODBC Data Source

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

All tables require authentication. You can connect using your User and Password or OAuth. To authenticate using OAuth, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can register an app to obtain your own.

If you intend to communicate with Twitter only as the currently authenticated user, then you can obtain the OAuthAccessToken and OAuthAccessTokenSecret directly by registering an app.

See the Getting Started chapter in the help documentation for a guide to using OAuth.

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 Twitter 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 Twitter Source] Driver = CData ODBC Driver for Twitter Description = My Description

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 Twitter Data as an ODBC Data Source

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

conn <- odbcConnect("CData Twitter Source")

Schema Discovery

The driver models Twitter 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 Twitter API.

tweets <- sqlQuery(conn, "SELECT From_User_Name, Retweet_Count FROM Tweets", believeNRows=FALSE, rows_at_time=1)

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

View(tweets)

Plot Twitter Data

You can now analyze Twitter 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(tweets$Retweet_Count, main="Twitter Tweets", names.arg = tweets$From_User_Name, horiz=TRUE)