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Access Excel data with pure R script and standard SQL. You can use the CData ODBC Driver for Excel and the RODBC package to work with remote Excel 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 Excel data and visualize Excel data in 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).
Information for connecting to Excel follows, along with different instructions for configuring a DSN in Windows and Linux environments.
CData Drivers let you work with Excel files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Set the URI property to local folder path.
To connect to Excel file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended Excel files exist. In addition, at least set these properties:
To connect to Excel file(s) within Box, set the URI property to the URI of the folder that includes the intended Excel file(s). Use the OAuth authentication method to connect to Box.
To connect to Excel file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended Excel file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
To connect to Excel file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended Excel file. Set User, Password, and StorageBaseURL.
To connect to Excel file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended Excel file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
To connect to Excel file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended Excel file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
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.
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.
If you are installing the CData ODBC Driver for Excel 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.
[CData Excel Source] Driver = CData ODBC Driver for Excel Description = My Description URI = 'C:/MyExcelWorkbooks/SampleWorkbook.xlsx'
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
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")
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData Excel Source")
The driver models Excel APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Use the sqlQuery function to execute any SQL query supported by the Excel API.
sheet <- sqlQuery(conn, "SELECT Name, Revenue FROM Sheet", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(sheet)
You can now analyze Excel 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(sheet$Revenue, main="Excel Sheet", names.arg = sheet$Name, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the Excel ODBC Driver to get started:
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👁 Microsoft Excel IconThe Excel ODBC Driver is a powerful tool that allows you to connect with live Excel file data, directly from any applications that support ODBC connectivity.
Access Excel Spreadsheet data like you would a database - read, write, and update data through a standard ODBC Driver interface.