Power Query Combine Files with Different Column Names - Super EASY!

TL;DR

Learn how to tackle the challenge of consolidating data with different column names in Power Query, and discover a handy technique for making transformations on tables within a column.

Transcript

power query is amazing at getting data from multiple files in a folder and consolidating it into one sheet however it can be tricky if those files have different column names in this video Phil we'll demonstrate how to solve this problem and in doing so he'll show you a clever way to easily make Transformations on tables in a column which is super ... Read More

Key Insights

• 📁 Power Query is a valuable tool for consolidating and transforming data from multiple files into one sheet.
• 🍵 Handling data sources with changing column names requires techniques such as promoting headers and unpivoting columns.
• 👻 Manipulating tables within columns allows for precise transformations on specific data.
• 🤨 Demoting headers and skipping rows can address inconsistencies in column names during data consolidation.
• 🖐️ Filtering out irrelevant text and renaming columns play crucial roles in cleaning and standardizing data.
• 🛀 Techniques shown in this video are applicable in both Power BI and Excel scenarios.
• 🆘 Experimenting with different approaches can help find the most efficient and effective solution for specific data integration challenges.

Questions & Answers

Q: How does Power Query handle data from CSV files with changing column names?

Power Query may encounter issues with different column names in each file, resulting in staggered columns. This can be resolved by promoting headers and unpivoting the date columns.

Q: Can you manipulate tables within columns in Power Query?

Yes, you can manipulate tables within columns by adding custom columns and referencing them as the target for transformations. This allows for specific operations on individual tables.

Q: What should be done when the first row of a CSV file is not automatically promoted as headers?

In such cases, you need to manually demote the headers by using the "Use first row as headers" and "Use headers as first row" options. This ensures consistency and enables further transformations.

Q: How can you handle columns with different names in Power Query?

There are several approaches, including duplicating the query and renaming columns, demoting headers, unpivoting columns, and skipping rows. The specific method depends on the desired outcome and column name variations.

Summary & Key Takeaways

• Power Query is a powerful tool for combining data from multiple files into one sheet but can be tricky when dealing with different column names.

• This video demonstrates a clever approach to easily handle data transformations on tables within a column, applicable to both Power BI and Excel.

• By leveraging techniques such as promoting headers, unpivoting columns, and removing duplicates, you can successfully merge and clean data sources.