science Bu ürün veya özellik önizleme sürümündedir (GKST öncesi). GKST öncesi ürünler ve özelliklere verilen destek sınırlı olabilir. Ayrıca bu ürünler ve özelliklerde yapılan değişiklikler, GKST öncesi diğer sürümlerle uyumlu olmayabilir. GKST Öncesi Teklifler, Google Haritalar Platformu Hizmete Özgü Şartlar'a tabidir. Daha fazla bilgi için lansman aşamalarının açıklamalarını inceleyin. Places Insights'ı test etmek için kaydolun.
Koleksiyonlar ile düzeninizi koruyun
İçeriği tercihlerinize göre kaydedin ve kategorilere ayırın.
Önizleme sürümünde Places Insights, BigQuery'de şehre özgü veriler sağlar. Places Insights, daha bilinçli iş kararları vermek için ilgi alanları verileriyle ilgili istatistiksel analizlerle kendi verilerinizi geliştirmenize olanak tanır.
Places Insights verilerini sorgulayabilmeniz için önce Places Insights ürününe erişmek üzere kaydolmanız gerekir. Hesabınız kullanıma alındıktan sonra hedef ülkeniz için Places Insights veri kümesine abone olabilirsiniz.
Abone görevlerini gerçekleştirmek için hesabınızın Analytics Hub Abonesi
(roles/analyticshub.subscriber) ve Analytics Hub Aboneliği Sahibi
(roles/analyticshub.subscriptionOwner) rollerine sahip olduğundan emin olun.
Hesabınızın veri kümeleri oluşturmak için BigQuery Kullanıcısı
(roles/bigquery.user) rolüne sahip olduğundan emin olun.
Places Insights verileri, aşağıdaki tabloda listelenen şehirler ve ülkeler için kullanılabilir. Her şehir ve ülkenin kendi veri listelemesi vardır ve bunlara ayrı ayrı abone olmanız gerekir.
Bir listeye abone olmak için:
Aşağıdaki tabloda ilgilendiğiniz şehir için abone ol bağlantısını seçin.
Google Cloud Console'da ilgili ülke için bir iletişim kutusu açılır. Örneğin, ABD'deki New York City listelemesi için:
İletişim kutusunda Abone ol düğmesini seçin.
İletişim kutusunda Proje, Bağlı veri kümesi adı, Birincil bölge ve Kopya bölgeler'i onaylayın veya düzenleyin. Varsayılan liste adını kullanmayı seçebilir veya isteğe bağlı olarak kendi adlandırma kuralınızı kullanmak için adı ayarlayabilirsiniz.
Kaydet'i seçin.
İşlem tamamlandığında tablo aboneliği, Google Cloud Console'daki BigQuery Gezgin panelinde görünür. Verilere erişmek için SQL sorgularınızda aşağıda gösterilen tablo adını kullanın.
Kullanılabilir listelemeler
Aşağıdaki tabloda desteklenen şehirler ve ülkeler listelenmiştir.
[null,null,["Son güncelleme tarihi: 2025-09-06 UTC."],[],[],null,["In the Preview release, Places Insights provides city-specific data in BigQuery\n[data clean rooms](https://cloud.google.com/bigquery/docs/data-clean-rooms) for\nthe target countries. Data clean rooms provide a security-enhanced environment\nin which multiple parties can share, join, and analyze their data assets without\nmoving or revealing the underlying data.\n\nBefore you can write SQL queries against the data in a clean room, you must\nfirst [sign up](https://docs.google.com/forms/d/e/1FAIpQLSetyVSIJc2U4C8rn7Z2olWhK9MEbD_YPadqHuPO3SE-yL21yg/viewform)\nto get access to the Places Insights product. Once your account\nhas been onboarded, you will be able to **subscribe** to the clean room for your\ntarget country.\n\nPrerequisites\n\nTo access the Places Insights data in a clean room, you must:\n\n1. [Sign up](https://docs.google.com/forms/d/e/1FAIpQLSetyVSIJc2U4C8rn7Z2olWhK9MEbD_YPadqHuPO3SE-yL21yg/viewform)\n to test Places Insights.\n\n2. Have a [Google Cloud](https://cloud.google.com/) account.\n\n If you don't have an account, click the **Get Started** button that links to\n an interactive setup experience in the Cloud console for new\n users:\n\n [Get Started](https://console.cloud.google.com/google/maps-apis/start?utm_source=Docs_GS_Button&ref=https://developers.google.com/maps/&utm_content=Docs_Central)\n3. Enable the BigQuery API. For instructions on enabling BigQuery and for a\n tutorial on using BigQuery, see [Query a public dataset with the Google Cloud console](https://cloud.google.com/bigquery/docs/quickstarts/query-public-dataset-console).\n\n4. Enable the [Analytics Hub API](https://console.cloud.google.com/apis/api/analyticshub.googleapis.com/metrics).\n\n5. Ensure that your account has the [Analytics Hub Subscriber](https://cloud.google.com/bigquery/docs/analytics-hub-grant-roles#ah-subscriber-role)\n (`roles/analyticshub.subscriber`) and [Analytics Hub Subscription\n Owner](https://cloud.google.com/bigquery/docs/analytics-hub-grant-roles#ah-subscription-owner-role)\n (`roles/analyticshub.subscriptionOwner`) roles to perform subscriber tasks\n on the data clean rooms.\n\n6. Ensure that your account has the [BigQuery User](https://cloud.google.com/bigquery/docs/access-control#bigquery.user)\n (`roles/bigquery.user`) role to create datasets.\n\n For more information, see [Additional subscriber\n permissions](https://cloud.google.com/bigquery/docs/data-clean-rooms#additional_subscriber_permissions).\n\nSubscribe to a data clean room\n\nPlaces Insights data is available for the cities and countries listed in the\n[table below](#available-clean-rooms). Each city and country has its own data\nclean room that you must subscribe to individually.\n\nTo subscribe to a clean room:\n\n1. Select the subscribe link for the city of interest from the [table\n below](#available-clean-rooms).\n\n2. A dialog opens for that country in the Google Cloud console. For example\n for the New York City, United States (US) clean room:\n\n3. Select the **Subscribe** button in the dialog.\n\n4. When complete, the table subscription appears in the BigQuery **Explorer**\n panel in the Google Cloud console. In your SQL queries, use the table name\n shown below to access the data.\n\nAvailable clean rooms\n\nThe following table lists the supported cities and countries:\n\n| City, Country | Subscribe link | Table names |\n|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------|\n| Sydney, Australia | [AU](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_AU_sample) | `places_insights___au___sample.places_sample` |\n| Sao Paulo, Brazil | [BR](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_BR_sample) | `places_insights___br___sample.places_sample` |\n| Toronto, Canada | [CA](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_CA_sample) | `places_insights___ca___sample.places_sample` |\n| Paris, France | [FR](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_FR_sample) | `places_insights___fr___sample.places_sample` |\n| Berlin, Germany | [DE](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_DE_sample) | `places_insights___de___sample.places_sample` |\n| London, Great Britian | [GB](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_GB_sample) | `places_insights___gb___sample.places_sample` |\n| Mumbai, India | [IN](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_IN_sample) | `places_insights___in___sample.places_sample` |\n| Jakarta, Indonesia | [ID](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_ID_sample) | `places_insights___id___sample.places_sample` |\n| Rome, Italy | [IT](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_IT_sample) | `places_insights___it___sample.places_sample` |\n| Tokyo, Japan | [JP](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_JP_sample) | `places_insights___jp___sample.places_sample` |\n| Mexico City, Mexico | [MX](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_MX_sample) | `places_insights___mx___sample.places_sample` |\n| Madrid, Spain | [ES](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_ES_sample) | `places_insights___es___sample.places_sample` |\n| Zurich, Switzerland | [CH](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_CH_sample) | `places_insights___ch___sample.places_sample` |\n| New York City, United States | [US](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_US_sample) | `places_insights___us___sample.places_sample` `places_insights___us___sample.brands` |"]]
