Excel Power Query: Importing and Transforming Data from External Sources

Many professionals use these tools daily without taking full advantage of what they offer. This article covers both the fundamentals and the techniques that separate efficient workflows from time-consuming ones.

What Power Query Is and Where to Find It

Compatibility is rarely an issue when sharing files created this way. The features used here are supported in all modern versions of Microsoft Office, including Office for Mac. Recipients using older versions may see minor display differences, but the data and functionality remain intact.

This approach works identically in Office 2019, 2021, and 2024. The interface may look slightly different between versions — Microsoft has gradually updated the ribbon layout — but the underlying functionality has remained stable across all recent perpetual licence versions.

Importing Data from CSV, Web, and Database Sources

Compatibility is rarely an issue when sharing files created this way. The features used here are supported in all modern versions of Microsoft Office, including Office for Mac. Recipients using older versions may see minor display differences, but the data and functionality remain intact.

Most users discover this feature by accident, if they discover it at all. Microsoft includes it in every version of Office but does not prominently advertise it in the default interface. Knowing it exists and understanding when to use it gives you an immediate advantage over the default workflow.

When working with larger datasets, performance becomes a consideration. The techniques described here are optimised for typical business use — spreadsheets with thousands of rows rather than millions. For truly large data volumes, Power Query or a database solution may be more appropriate.

Cleaning Data: Removing Blanks, Fixing Formats, and Splitting Columns

One practical consideration that documentation rarely mentions is the impact on file size. Each additional feature, formula, or formatting rule adds to the workbook’s internal complexity. For files shared via email or stored on limited cloud storage, keeping the file lean matters.

The process begins with your data structure. If the underlying data is well-organised — consistent column headers, no merged cells in critical areas, and clean data types — the feature works reliably every time. If the data is messy, you will spend more time troubleshooting than the feature saves.

Merging and Appending Queries from Multiple Sources

One practical consideration that documentation rarely mentions is the impact on file size. Each additional feature, formula, or formatting rule adds to the workbook’s internal complexity. For files shared via email or stored on limited cloud storage, keeping the file lean matters.

This approach works identically in Office 2019, 2021, and 2024. The interface may look slightly different between versions — Microsoft has gradually updated the ribbon layout — but the underlying functionality has remained stable across all recent perpetual licence versions.

Loading Transformed Data Back into Excel

This approach works identically in Office 2019, 2021, and 2024. The interface may look slightly different between versions — Microsoft has gradually updated the ribbon layout — but the underlying functionality has remained stable across all recent perpetual licence versions.

One practical consideration that documentation rarely mentions is the impact on file size. Each additional feature, formula, or formatting rule adds to the workbook’s internal complexity. For files shared via email or stored on limited cloud storage, keeping the file lean matters.

Refreshing Queries When Source Data Updates

The key consideration here is consistency. When you apply this approach across all your documents and spreadsheets, the cumulative time saving becomes significant. What feels like a small improvement on a single file translates into hours saved over the course of a month.

The process begins with your data structure. If the underlying data is well-organised — consistent column headers, no merged cells in critical areas, and clean data types — the feature works reliably every time. If the data is messy, you will spend more time troubleshooting than the feature saves.

Testing before committing is always advisable. Create a copy of your file, apply the changes to the copy, and verify the results before modifying your original. This habit alone prevents the majority of accidental data loss situations that users encounter.

Conclusion

Taking the time to set this up properly pays for itself quickly. Whether you are working on a single project or establishing a workflow that your team will use for years, the investment in understanding the fundamentals prevents the accumulation of small problems that collectively waste significant time. For an affordable way to access the software discussed in this article, Office 2024 Professional Plus for Windows is available for £29.99 from GetRenewedTech.