Explore Geographical Relationhips in X-Cart Data with Power Map

詳細情報をご希望ですか?

無償トライアル:

ダウンロードへ

製品の詳細情報へ:

X-Cart ODBC Driver



Create data visualizations with X-Cart data in Power Map.

The CData ODBC Driver for X-Cart 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 X-Cart data into Excel and start generating location-based insights on X-Cart data in Power Map.

Create an ODBC Data Source for X-Cart

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

Below is a typical connection string:

Url=https://example.com/shop;ApiKey=MyApiKey;

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 X-Cart data.

Import X-Cart 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 X-Cart data, see the "Using the ODBC Driver" section in the help documentation.

Geocode X-Cart Data

After importing the X-Cart data into an Excel spreadsheet or into PowerPivot, you can drag and drop X-Cart 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.