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Get the Report →How to connect to YouTube Analytics Data from MS Excel on Mac OS X
Create a Data Source Name in iODBC with the CData ODBC Driver for YouTube Analytics and work with YouTube Analytics data in Microsoft Excel on Mac OS X.
Microsoft Excel features calculations, graphing tools, pivot tables, and a macro programming language that allows users to work with data in many of the ways that suit their needs, whether on a Windows machine or a Macintosh machine. This article walks through creating a DSN for YouTube Analytics data in iODBC and accessing YouTube Analytics data in Microsoft Excel, all on a machine running Mac OS X.
Installing the CData ODBC Drivers on Mac OS X
The CData ODBC Driver for YouTube Analytics is preconfigured for the iODBC driver manager, as are many other products like Microsoft Excel. This makes the driver easy to use with these tools.
Licensing the Driver
In a terminal run the following commands to license the driver. To activate a trial license, omit the key input.
cd "/Applications/CData ODBC Driver for YouTube Analytics/bin" sudo ./install-license <key>
Defining a DSN for iODBC with odbc.ini
You can define ODBC data sources in sections in the odbc.ini file. User data sources can only be accessed by the user account whose home folder the odbc.ini is located in. System data sources can be accessed by all users. You can find the correct odbc.ini in the following paths:
Privileges | Path | |
---|---|---|
User | /Users/myuser/Library/ODBC/odbc.ini | |
System | /Library/ODBC/odbc.ini |
Modifying iODBC's system-wide settings requires elevated permissions; to do so, you can use following to open a text editor from the terminal:
sudo nano /Library/ODBC/odbc.ini
YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.
In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.
If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.
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.
In addition to the connection properties required to connect to YouTube Analytics, the Driver property specifies either a driver definition in the odbcinst.ini file or the path to the driver library. Place your connection properties at the beginning of odbc.ini:
[CData YouTube Analytics Sources] Driver = CData ODBC Driver for YouTube Analytics ContentOwnerId = MyContentOwnerId ChannelId = MyChannelId
If you wish to authenticate using OAuth, you will need to add an additional connection property to ensure that the OAuth flow can execute properly:
Other = CheckPromptMode=False
Mac OS validates our drivers separately so you need to copy the license file to the appropriate path as well. After you have configured odbc.ini, run the following command.
sudo cp /Applications/CData ODBC Driver for YouTube Analytics/lib/CData.ODBC.YouTubeAnalytics.lic /Users/<YOUR_USER>/Library/Containers/com.microsoft.Excel/Data/.cdata/
Additionally, in the ODBC Data Sources section, the DSN must be set to a driver defined in the odbcinst.ini file. For example, below is the entry for the DSN created during the driver install:
[ODBC Data Sources]
CData YouTube Analytics Source = CData ODBC Driver for YouTube Analytics
Registering a DSN for iODBC with odbcinst.ini
You may need to modify the installed driver definition if you change the path to the driver library. To register an ODBC driver, modify the odbcinst.ini file. With iODBC, drivers can be available to only one user account or drivers can be available system wide. You can find the correct odbcinst.ini in the following paths:
Privileges | Path | |
---|---|---|
User | /Users/myuser/Library/ODBC/odbcinst.ini | |
System | /Library/ODBC/odbcinst.ini |
Drivers are defined in sections in the odbcinst.ini file. The section name specifies the name of the driver. In this section, the Driver property specifies the path to the driver library. The driver library is the .dylib file located in the lib subfolder of the installation directory, by default in /Applications/CData ODBC Driver for YouTube Analytics.
[CData ODBC Driver for YouTube Analytics]
Driver = /Applications/CData ODBC Driver for YouTube Analytics/lib/libyoutubeanalytics.odbc.dylib
The ODBC Drivers section must also contain a property with the driver name, set to "Installed".
[ODBC Drivers]
CData ODBC Driver for YouTube Analytics = Installed
Testing the Connection
You can test your connection using the iODBC administrator.
- Open a terminal and enter the following command to start the iODBC Administrator with the necessary permissions:
sudo /Applications/iODBC/iODBC\ Administrator64.app/Contents/MacOS/iODBC\ Administrator64
- On the Users tab, select CData YouTube Analytics Source.
- Click the Test button.
Accessing YouTube Analytics Data from Microsoft Excel
You can use the DSN configured above to access YouTube Analytics data from Microsoft Excel.
- Open Microsoft Excel and open a spreadsheet (new or existing).
- Navigate to the data ribbon, click the drop down next to "Get Data (Power Query)," and select "From Database (Microsoft Query)"
- Select the User or System DSN that you previously configured and click OK.
- Build your SQL query in the Microsoft Query wizard:
- Click Return Data to execute the query and pull data into Excel.
Using the CData ODBC Driver for YouTube Analytics, you can easily pull your YouTube Analytics data directly into Excel. Once there, you can leverage all of the powerful features native to Excel to analyze, report, transform your YouTube Analytics data, and more!