Android：以英寸为单位设置View的宽度（在英寸和dp之间转换）(Android: Setting width of View in inches (converting between inches and dp))

 如果没有帮助，您无法为Google Analytics设置BigQuery。 首先，您需要与高级支持经理https://support.google.com/analytics/answer/3437618联系，并向他提供两项信息： 
 
 
 
 应该接收数据的BigQuery项目ID 
 
 
 Google Analytics视图ID 
 
 
 您的Google Analytics帐户可以处理多个媒体资源，每个媒体资源都可以拥有多个视图。 视图是为单个属性收集的数据的子集（由自定义过滤器定义）。 默认情况下，每个属性都有一个包含该属性的所有数据的视图。 目前，Google Analytics仅支持将每个属性的单个视图导出到BigQuery，因此您很可能希望将此未过滤的视图推送到BigQuery，因为这样您就可以对属性的所有数据运行查询。 提交此请求时，系统会指示您修改项目的ACL，以便Google Analytics可以将数据写入项目。 具体而言，系统会要求您为该帐户的项目添加编辑权限： analytics-processing-dev@system.gserviceaccount.com 
 
 完成此操作后，支持会更新您的帐户配置，以便夜间作业将您的数据推送到项目中。 将创建一个数据集，其名称等于您在请求中指定的视图ID，并且在该数据集中，将在一天结束后的某个时间创建每日表。 表格具有以下命名模式： ga_sessions_YYYYMMDD 
 
 幸运的是 ， 您可以尝试使用此功能，而无需完成所有此设置，甚至无法注册高级帐户 。 Google Analytics小组提供了一个示例数据集，您可以使用该数据集来了解生成的数据的性质。 您可以使用项目菜单（项目名称旁边的下拉菜单，切换到项目➪显示项目）添加项目google.com:analytics-bigquery将此数据添加到BigQuery UI中的视图中。 或者，您可以导航到BigQuery UI链接https://bigquery.cloud.google.com/project/google.com:analytics-bigquery添加项目后，示例数据集（LondonCycleHelmet）将显示在导航面板中。 它包含两个表： 
 
 
 
 ga_sessions_20130910 
 
 
 refunds_201309 
 
 
 现在你可以忽略第二个表。 第一个表是示例表，其中包含与用户与网络媒体资源互动时Google Analytics收集的数据相对应的数据。 选择表将显示具有大量字段的复杂模式 

You cannot set up BigQuery for Analytics without assistance. To start you need to contact your Premium support manager https://support.google.com/analytics/answer/3437618 and give him two bits of information:
 
 
 
BigQuery project ID that should receive your data
 
 
Google Analytics view ID
 
 
Your Google Analytics account can handle multiple properties and each property can have more than one view. A view is a subset of the data (defined by custom filters) collected for a single property. By default, every property has a single view that contains all the data for the property. Currently Google Analytics supports only exporting a single view per property to BigQuery, so most likely you want to have this unfiltered view pushed into BigQuery because then you can run queries over all the data for your property. When you submit this request, you will be instructed to modify the ACL of your project so that Google Analytics can write data to your project. Specifically, you will be asked to add edit permissions on the project for the account: analytics-processing-dev@system.gserviceaccount.com
 
After you have done this, support updates your account configuration so that a nightly job pushes your data into the project. A dataset will be created with a name equal to the view ID you specified in the request, and within that dataset a daily table will be created some time after the end of the day. The tables have the following naming pattern:ga_sessions_YYYYMMDD
 
Fortunately, you can experiment with this feature without going through all this setup or even signing up for a Premium account. The Google Analytics team provides a sample dataset that you can use to understand the nature of the data generated. You can add this data to your view in the BigQuery UI by adding the project google.com:analytics-bigquery using the project menu (the drop-down next to the project name, Switch to Project ➪ Display Project). Alternately, you can navigate to the BigQuery UI link https://bigquery.cloud.google.com/project/google.com:analytics-bigquery After you add the project, the sample dataset (LondonCycleHelmet) appears in the navigation panel. It contains two tables:
 
 
 
ga_sessions_20130910
 
 
refunds_201309
 
 
For now you can ignore the second table. The first table is the sample table that contains data that corresponds to what Google Analytics collects when users interact with a web property. Selecting the table displays a complicated schema that has a large number of fields