Excel Power Query Guide: Split & Combine Rows Easily

Key insights

 

• Excel Power Query techniques include splitting and combining rows to better analyze comma-separated data.
• Wyn Hopkins, an MVP, showcases four core techniques in Excel and Power BI for effective data handling.
• The team at Access Analytic specializes in developing solutions and delivering training globally.
• Wyn Hopkins has authored a book titled "Power BI for the Excel Analyst."
• For more professional insights and connections, reach out to Wyn Hopkins directly.

 

Exploring Excel Power Query's Capabilities

 

Excel Power Query is a powerful tool integral to data analysis in Excel. It allows users to simplify the process of data manipulation by providing features such as splitting rows and combining them back based on specified criteria. This functionality is particularly useful for handling large sets of data that are often separated by delimiters like commas. Wyn Hopkins, an acknowledged Microsoft MVP in this field, leverages these capabilities to demonstrate their practical applications through tailored solutions and global training sessions.

In the informative you_tube_video hosted by Wyn Hopkins, an expert in Microsoft technologies, viewers are taken through the advanced functionalities of Excel's Power Query. Hopkins highlights the impact of using Power Query to manipulate data efficiently, specifically focusing on how to split and combine rows when dealing with comma-separated values.

This tutorial forms part of broader efforts by Access Analytic, where Hopkins works, to develop robust Power BI and similar software solutions for a global clientele. The team's expertise not only encompasses building solutions but also delivering high-caliber training internationally, fostering advanced data handling skills.

Noteworthy is Wyn Hopkins's contribution to the literature with his book titled "Power BI for the Excel Analyst". This publication aims to bridge the gap for Excel users transitioning to or incorporating Power BI into their data analysis toolkit, standing as a testament to his proficiency and commitment to education in the data analysis arena.

Detailed Discussion

Excel Power Query Techniques

• Splitting data rows based on delimiter
• Combining rows for consolidated analysis
• Enhancing data manipulation and workflow efficiency

These techniques are crucial for analysts who handle large datasets and require transformations that go beyond basic Excel functionalities. The ability to split and combine data effectively can greatly reduce processing time and enhance overall analytic capabilities.

Global Training and Development

• Provision of international-level training by Access Analytic
• Deployment of tailored Power BI and Excel solutions

Through extensive training programs, Hopkins and his team help professionals worldwide to capitalize on the advanced features of analytical tools like Excel and Power BI. Their work ensures that businesses can leverage data for strategic decision-making.

Resources and Learning Aids

• Publication of "Power BI for the Excel Analyst"

The book acts as a critical resource for Excel analysts delving into Power BI, bridging knowledge gaps and facilitating smoother transitions to more sophisticated data analysis platforms.

Summary

The video tutorial by Wyn Hopkins is a valuable learning tool for anyone involved in data analytics using Excel and Power BI. By demonstrating powerful techniques within Excel's Power Query, Hopkins not only showcases his expertise but also reflects the commitment of Access Analytic to enhance the skills of clients and learners globally. His literary contribution through his book additionally underscores the resources available to individuals upgrading their analytic tools and methodologies.

Broader Context

The video underlines the integral role that Excel still plays in contemporary data analysis despite the rise of more intricate tools like Power BI. For many analysts, Excel functions as the stepping stone towards more complex data manipulation and reporting techniques. Wyn Hopkins's expertise and educational contributions, like his book and global training initiatives, significantly aid in forwarding the domain of data science.

 

 

People also ask

How do you combine multiple rows into one row in Excel?

To combine multiple rows into a single row in Excel, utilize the Merge Cells add-in. Begin by selecting the desired range of cells. Navigate to the 'Ablebits Data' tab, locate the 'Merge' group, click on the 'Merge Cells' arrow, and then choose 'Merge Rows into One' from the dropdown menu.

How do you split row data into multiple rows in Excel?

You can split row data into multiple rows in Excel by utilising the column delimiter. This approach involves dividing the text at specified delimiter points to distribute the data across multiple rows effectively.

How to merge two rows in Power Query?

In Power Query, you can efficiently merge two rows by performing a simple Merge operation. This feature consolidates the data from the selected rows into a single row.

How to split rows in Excel using Power Query?

To split rows in Excel using Power Query, begin by selecting the Excel file containing your data and clicking 'Transform Data'. In the Power Query Editor, choose the 'Information' column and select 'Split Column' under the 'Transform' tab. Set the delimiter to a Tab character (\t), select 'Split into Rows', and hit OK to apply the changes.

 

Keywords

Excel Power Query, Split to Rows, Combine Rows, Data Transformation Excel, Excel Data Manipulation, Power Query Tutorial, Excel Tips, Power Query Excel Functions