But what if there was a faster, smarter way to handle all of this, using Power Query. A innovative tool built right into Excel that can transform how you approach data cleaning and analysis.

Have you heard of Power Query in Microsoft Excel but always thought that it's only intended for Excel experts? Let me stop ...

TL;DR Key Takeaways : Power Query is a faster, code-free, and user-friendly alternative to Python for cleaning messy survey data, making it ideal for non-coders or those prioritizing efficiency.

Power Query will load the Power Query table into a new sheet. Don’t worry about this for now. Now, repeat the first set of instructions above to load the data in the February sheet.

This guide discusses combining tables from the same workbook only, not external sources or multiple workbooks. Make sure all the datasets you want to append are formatted as Excel ...

How to load the Excel data into Power Query. When using Microsoft Excel’s Power Query, the first step is to load the Excel data into Power Query. If you’re not working with a Table object, ...

Loading data refers to importing the data into an Excel worksheet or Power BI report. Transforming the data refers to performing data manipulation using the Power Query editor.

Split data into Rows by Delimeter. By default, Power Query will treat the entire cell content as a single value and load it as a single record with one column and one row.

Existing Power BI users can simply click on their data source, point to their MariaDB SkySQL or MariaDB Platform instance, put in their credentials, and get to work.