Explore Geographical Relationhips in Microsoft Teams Data with Power Map

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Microsoft Teams ODBC Driver

Microsoft Teams ODBC Driver を使って、ODBC 接続をサポートするあらゆるアプリケーション・ツールからMicrosoft Teams にデータ連携。

Microsoft Teams データにデータベースと同感覚でアクセスして、Microsoft Teams のGroups、Teams、Channels、Messages データに使い慣れたODBC インターフェースで双方向連携。



Create data visualizations with Microsoft Teams data in Power Map.

The CData ODBC Driver for Microsoft Teams is easy to set up and use with self-service analytics solutions like Power BI: Microsoft Excel provides built-in support for the ODBC standard. This article shows how to load the current Microsoft Teams data into Excel and start generating location-based insights on Microsoft Teams data in Power Map.

Create an ODBC Data Source for Microsoft Teams

To connect to Microsoft Teams data, your application will use connection properties defined in the data source name (DSN).

Below is a typical connection string:

InitiateOAuth=GETANDREFRESH;

You can configure the DSN in the built-in Microsoft ODBC Data Source Administrator. This is the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to use the Microsoft ODBC Data Source Administrator to create and configure a DSN for Microsoft Teams data.

Import Microsoft Teams Data into Excel

You can import data into Power Map either from an Excel spreadsheet or from Power Pivot. For a step-by-step guide to use either method to import Microsoft Teams data, see the "Using the ODBC Driver" section in the help documentation.

Geocode Microsoft Teams Data

After importing the Microsoft Teams data into an Excel spreadsheet or into PowerPivot, you can drag and drop Microsoft Teams entities in Power Map. To open Power Map, click any cell in the spreadsheet and click Insert -> Map.

In the Choose Geography menu, Power Map detects the columns that have geographic information. In the Geography and Map Level menu in the Layer Pane, you can select the columns you want to work with. Power Map then plots the data. A dot represents a record that has this value. When you have selected the geographic columns you want, click Next.

Select Measures and Categories

You can then simply select columns: Measures and categories are automatically detected. The available chart types are Stacked Column, Clustered Column, Bubble, Heat Map, and Region.