![]() When performing analysis on sampled data, you can miss interesting outliers, and aggregations can be inaccurate. Sampled data is a random subset of your data. GA restricts the amount of data that it returns from a query and provides sampled data instead. For more information, see Extract Your Data.Īll data vs. You can update the data by refreshing the extract. Tableau Desktop supports only extracts for Google Analytics. After you select the sheet tab, Tableau imports the data by creating an extract. Select the sheet tab to start your analysis. For more information, see Dimensions & Metrics Reference Guide (Link opens in a new window) on the Google developer website. Some dimensions and measures can’t be used together. Step 3 – Add dimensions and measures by using the Add Dimension and Add Measure dropdown menus, or select a predefined set of measures from the Choose a Measure Group dropdown menu. sampled data returned from a query below. If Tableau detects that your GA query might return sampled data, Tableau attempts to bypass the query restriction to return all data instead. When you try to retrieve more data than GA allows in a single query, GA returns sampled data instead. Note: GA restricts the amount of data that it returns in a query. For example, with a segment, you can get results for a specific platform, such as tablets, or for a particular search engine, such as Google. Segments also help prevent sampling to occur by filtering the data as defined by the segment. Default Segments are defined by Google, and Custom Segments are defined by the user on the GA website. Segments are preset filters that you can set for a GA connection. For example, if you choose Last 30 days, data will be retrieved for the last 30-day period ending yesterday.įor Segment, select a segment to filter your data. When selecting a date range, GA can provide complete data only up to the previous full day. Step 2 – Select filters for a date range and a segment.įor Date Range, you can select one of the predefined date ranges or select specific dates. Step 1 – Select an Account, Property, and Profile using the dropdown menus. For example, use a data source naming convention that helps other users of the data source figure out which data source to connect to.įollow the steps at the top of the data source page to complete the connection. (Optional) Select the default data source name at the top of the page, and then enter a unique data source name for use in Tableau. On the data source page, do the following: Select Allow so that Tableau Desktop can access your GA data.Ĭlose the browser window when notified to do so. Sign in to GA using your email or phone, and then select Next to enter your password. In the tab Tableau opens in your default browser, do the following: For a complete list of data connections, select More under To a Server. Start Tableau and under Connect, select Google Analytics. Make the connection and set up the data source For information on how to configure your own OAuth client see, Configure custom OAuth for a site. The option to use your own OAuth client frees you from being tied to Tableau release cycles and Tableau’s OAuth client rotation schedule. You can fully control your OAuth configuration according to your own IT policies with a custom OAuth client. ![]() Recommendation Setup a custom OAuth Client to use your company's IT policies Note:Google Analytics 4 property isn't supported.īefore you begin, gather this connection information: ![]() To Google Analytics (GA) and set up the data source. This article describes how to connect Tableau Note:Tableau adheres to Google’s API Services User Data Policy and Limited Use Requirements when using or transferring information from Google APIs to other apps.
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