I’ve created a script that monitors a table in a SQL Server database. I’m only interested in one column in the table: TimeStamp. If the maximum (newest) value in TimeStamp is more than 30 ...

A good way to think about when and why to use Power Query is to consider its relationship to PivotTables. While analysis is best done in PivotTables, Power Query cleans the data for best use by ...

Put the structure of your data, a few sample rows, or both into a single text string. Craft a “prompt” to the AI with that information plus your natural language question.

So the first thing we need to do is to open it in the Power Query Editor. Select the data source and click on the From Table/Range option within the Get & Transform Data section under the Data tab.

Data comes from all kinds of sources and Microsoft Power Query can you when you need to combine foreign data. It’s a bit easier than trying to do so in Microsoft Excel sometimes.

When this is the case, you can use Power Query’s Extract and Split Column features to extract delimited strings into their components. I’m using Microsoft 365 Desktop and Power Query in ...

Power Query’s versatility ensures that, regardless of your skill level, you can efficiently transform and unstack your data to meet your analytical needs. Media Credit: Excel Off The Grid.

For Power Query to properly transform the data, you must correctly identify and specify the delimiter. For example, in our case, a less than sign (<) separates the names and the email addresses.

Excel Power Query is a powerful tool that can help you streamline your data manipulation and automation tasks. By leveraging its features effectively, you can save time, reduce errors, and enhance ...

In the past, natural language processing advocates have called for new methods that do away with SQL’s standardized and clunky approach. However, these attempts have ended up with methods that ...