Download Excel File: https://excelisfun.net/files/EMT1844.xlsx
Learn about how to use the GROUPBY function to make single cell formula reports that can update instantly when source data changes.
Topics:
1. (00:00) Introduction to GROUPBY, PIVOTBY and the new Lambda Replacement Functions
2. (00:58) Compare arguments in GROUPBY and PIVOTBY functions.
3. (01:58) GROUPBY and the 7 arguments.
4. (01:58) 16 New Lambda Replacement Functions.
5. (05:43) New Lambda Replacement Functions as replacement for LAMBDA.
6. (06:17) PERCENTAGE of in GROUPBY Function.
7. (07:04) Why use formulas rather than PivotTables.
8. (07:17) Two Fields in Row Area of Report.
9. (08:05) Problem: No Label for Calculation Column. Look at field_header argument.
10. Continue reading “GROUPBY Excel Worksheet Function. Single Cell Reports Made Easy! 11 Examples. EMT 1844”
Category: Business
Digging deeper into Data Activator in Microsoft Fabric
We look deeper at Data Activator in Microsoft Fabric with Will Thompson. He shows us how to work with real time data and also how you can leverage Power Automate from Power Platform to take action.
What is Data Activator?
https://learn.microsoft.com/fabric/data-activator/data-activator-introduction
Assign data to objects in Data Activator
https://learn.microsoft.com/fabric/data-activator/data-activator-assign-data-objects
Use Custom Actions to trigger Power Automate Flows
https://learn.microsoft.com/fabric/data-activator/data-activator-trigger-power-automate-flows
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Want to take your Power BI skills to the next level? We have training courses available to help you with your journey.
🎓 Guy in a Cube courses: https://guyinacu.be/courses
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— Continue reading “Digging deeper into Data Activator in Microsoft Fabric”
Leverage OneLake with Azure Databricks
Want to start using Azure Databricks with OneLake in Microsoft Fabric? Patrick walks you through how to get this working! Storing the data in OneLake opens up a lot of other possibilities.
Using Azure Databricks with Microsoft Fabric and OneLake
https://blog.fabric.microsoft.com/blog/using-azure-databricks-with-microsoft-fabric-and-onelake
Integrate OneLake with Azure Databricks
https://learn.microsoft.com/fabric/onelake/onelake-azure-databricks
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Want to take your Power BI skills to the next level? We have training courses available to help you with your journey.
🎓 Guy in a Cube courses: https://guyinacu.be/courses
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— Continue reading “Leverage OneLake with Azure Databricks”
Excel – First Look at Amazing GroupBy PivotBy PercentOf Functions in Excel – Episode 2633
Microsoft Excel Tutorial: Three New Functions Debut in Excel: GROUPBY, PIVOTBY, and PERCENTOF.
To download the workbook from today: https://www.mrexcel.com/youtube/6jP7DflN4sw/
Read the Microsoft Announcement: https://techcommunity.microsoft.com/t5/excel-blog/new-aggregation-functions-groupby-and-pivotby/ba-p/3965765
Welcome to episode 2633 of MrExcel’s netcast, where we explore the latest and greatest features of Microsoft Excel. In this episode, we will take a first look at three new functions: GROUPBY, PIVOTBY, and PERCENT OF. These functions are incredibly simple to use, yet offer deep options for data analysis. So let’s dive in and see what they can do!
First up, we have GROUPBY. This function allows us to group data by Continue reading “Excel – First Look at Amazing GroupBy PivotBy PercentOf Functions in Excel – Episode 2633”
Excel New Check Performance To Reduce Excel File Size – Episode 2632
Microsoft Excel Tutorial: A new Check Performance Feature debuts in Excel to clean excess cell formatting that can cause large file sizes.
Welcome to episode 2632 of MrExcel’s Net Cast! In this video, we’ll be discussing a new feature in the Windows version of Excel that has been available in Excel online for some time now. It’s called Check Performance and it can help you clean up unwanted cell formats and reduce file sizes. This feature can be found on the Review tab and is definitely worth checking out for any workbook that you’ve been using for years.
Now, before you go Continue reading “Excel New Check Performance To Reduce Excel File Size – Episode 2632”
Unleash the Potential of Data Activator in Microsoft Fabric
Get ready to unlock the full potential of Power BI with Data Activator in Microsoft Fabric. Join Will Thompson as he walks you through the features and benefits of this powerful tool. Whether you’re a Power BI pro or just starting out, this video has something for everyone.
What is Data Activator?
https://learn.microsoft.com/fabric/data-activator/data-activator-introduction
Get started with Data Activator
https://learn.microsoft.com/fabric/data-activator/data-activator-get-started
Will Thompson:
https://twitter.com/Will_MI77
https://www.linkedin.com/in/will-mi77/
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Want to take your Power BI skills to the next level? We have training courses available to help you with your journey.
🎓 Guy in a Continue reading “Unleash the Potential of Data Activator in Microsoft Fabric”
Why On-Object Editing in Power BI???
Curious about why Power BI introduced On-object editing? Rosie Levasseur joins us to explain why! We’ve come to love it and hope you give it a try.
Use on-object interaction with visuals in your report (preview)
https://learn.microsoft.com/power-bi/create-reports/power-bi-on-object-interaction
Roseanne Levasseur
https://www.linkedin.com/in/roseanne-levasseur/
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#PowerBI #MicrosoftFabric #GuyInACube
FILTER Function to Extract Records by Area Code. Excel Magic Trick 1843
Download Excel File: https://excelisfun.net/files/EMT1843.xlsx
Learn about how to use FILTER and SEARCH to filter a data set by area code.
Topics:
1. (00:00) Introduction
2. (00:05) FILTER and SEARCH functions to filter by Area Code.
3. (02:04) Summary
4. (02:13) Closing, Video Links
#excel #excelisfun #analytics #analysis #dataanalysis #dataanalytics #excelmvp #freeclass #freecourse #freeclasses #excelclasses #microsoftexcel #microsoftmvp #lookup #xlookup #Filter #Search #filterfunction #filterfun
Exploring Ceiling, Floor, Ceiling.Math, and Floor.Math Functions in Excel and Power Query: A Guide
In the realm of numerical precision, Excel provides an array of functions to manipulate data accurately. Among these, Ceiling, Floor, Ceiling.Math, and Floor.Math functions play a pivotal role in rounding numbers to specific intervals. Additionally, when working with extensive datasets, Excel’s Power Query offers an advanced platform for data transformation. In this comprehensive guide, we will explore how to utilize Ceiling, Floor, Ceiling.Math, and Floor.Math functions in both Excel and Power Query, empowering you with enhanced data manipulation techniques.
Understanding Ceiling, Floor, Ceiling.Math, and Floor.Math Functions:
Before we delve into their applications, let’s understand the functionalities of these functions. The Ceiling function rounds a number up, away from zero, to the nearest multiple of significance. The Floor function rounds a number down, towards zero, to the nearest multiple of significance. Ceiling.Math and Floor.Math are specialized versions of these functions, offering precise control over the rounding process.
Ceiling, Floor, Ceiling.Math, and Floor.Math in Excel:
In Excel, employing these functions is straightforward. Consider a dataset with decimal values representing product prices:
- Ceiling Function in Excel:
=CEILING(A2, 1)
This formula rounds up the value in cell A2 to the nearest multiple of 1. - Floor Function in Excel:
=FLOOR(A2, 1)
This formula rounds down the value in cell A2 to the nearest multiple of 1. - Ceiling.Math Function in Excel:
=CEILING.MATH(A2, 1)
This formula rounds up the value in cell A2 to the nearest multiple of 1, similar to the Ceiling function. - Floor.Math Function in Excel:
=FLOOR.MATH(A2, 1)
This formula rounds down the value in cell A2 to the nearest multiple of 1, similar to the Floor function.
Ceiling, Floor, Ceiling.Math, and Floor.Math in Power Query:
In Power Query, these functions extend your data transformation capabilities:
- Ceiling Function in Power Query:
=Table.TransformColumns(Source, {{"Price", each Number.RoundUp(_, 0), type number}})
This formula rounds up the ‘Price’ column to the nearest whole number in the Power Query editor. - Floor Function in Power Query:
=Table.TransformColumns(Source, {{"Quantity", each Number.RoundDown(_, 0), type number}})
This formula rounds down the ‘Quantity’ column to the nearest whole number in the Power Query editor. - Ceiling.Math Function in Power Query:
=Table.TransformColumns(Source, {{"Value", each Number.RoundUp(_, 1), type number}})
This formula rounds up the ‘Value’ column to the nearest multiple of 1 in the Power Query editor. - Floor.Math Function in Power Query:
=Table.TransformColumns(Source, {{"Amount", each Number.RoundDown(_, 1), type number}})
This formula rounds down the ‘Amount’ column to the nearest multiple of 1 in the Power Query editor.
Applications and Benefits:
Understanding how to apply Ceiling, Floor, Ceiling.Math, and Floor.Math functions in both Excel and Power Query empowers you with precise control over numerical data. Whether you’re dealing with financial calculations, inventory management, or scientific analysis, these functions ensure your numbers align perfectly with your specific requirements, providing accuracy and reliability in your calculations.
Conclusion:
Mastering the Ceiling, Floor, Ceiling.Math, and Floor.Math functions in both Excel and Power Query equips you with advanced tools for nuanced data manipulations. By following the examples provided in this guide, you can confidently round numbers up or down, ensuring your data is finely tuned for comprehensive analysis and well-informed decision-making. Embrace the power of these functions in both Excel and Power Query, and elevate your data processing capabilities to new heights. Happy analyzing!
Errors in Excel – Identifying and Overcoming Them Quickly!
Common Errors in Excel and How to Fix Them
Excel is a powerful tool, but it’s not without its quirks. Anyone who has spent time working with spreadsheets has encountered those frustrating error messages. Whether you’re a beginner or an experienced user, understanding and resolving these errors is crucial for accurate data analysis. In this article, we will explore some of the most common Excel errors and provide detailed solutions to fix them.
1. #VALUE! Error: Understanding Invalid Data Types
The #VALUE! error occurs when Excel can’t recognize the data type in a formula or function. This error often happens when you’re trying to perform calculations with incompatible data types.
To fix this error, double-check your formulas and ensure that all the data types are compatible. For example, make sure you’re not trying to perform mathematical operations on text cells without converting them to numbers first.
2. #REF! Error: Dealing with Invalid Cell References
The #REF! error indicates an invalid cell reference, often caused by deleting or moving cells that are referred to in formulas. This error can mess up your entire spreadsheet if not addressed promptly.
To fix #REF! errors, carefully review your formulas and check if any cell references are no longer valid. Update the formulas to use the correct cell references, or adjust your data ranges to include the appropriate cells.
Photo by Mikhail Nilov on Pexels.com
3. #DIV/0! Error: Handling Division by Zero
The #DIV/0! error occurs when you’re trying to divide a number by zero. Excel cannot perform this operation, and it displays this error to indicate the problem.
To avoid #DIV/0! errors, you can use the IF function to check if the divisor is zero before performing the division. For example, you can modify your formula like this:
=IF(B2<>0, A2/B2, "Divide by Zero Error")
This formula checks if cell B2 is not zero. If it is, it performs the division; otherwise, it displays a custom error message.
4. #NAME? Error: Fixing Unrecognized Functions or Formulas
The #NAME? error occurs when Excel doesn’t recognize a function or formula name in a cell. This can happen due to misspellings, missing quotation marks, or incorrect syntax.
To fix #NAME? errors, double-check the spelling and syntax of your functions and formulas. Ensure that all function names are spelled correctly and are accompanied by the necessary parentheses and arguments.
5. #N/A Error: Handling Not Available or Missing Data
The #N/A error stands for “Not Available” and occurs when Excel can’t find the value you’re looking for, often in functions like VLOOKUP or MATCH.
To handle #N/A errors, you can use the IFERROR function to display a custom message or value when an error occurs. For instance:
=IFERROR(VLOOKUP(A2, Table, 2, FALSE), "Not Found")
In this formula, if the VLOOKUP function returns an error, it will display “Not Found” instead of #N/A.
6. #NUM! Error: Dealing with Invalid Numerical Values
The #NUM! error in Excel occurs when a numerical calculation is invalid, such as taking the square root of a negative number.
To fix #NUM! errors, review the mathematical operations in your formulas. Check for any calculations that might result in negative numbers where they are not allowed or other mathematically impossible operations.
7. Errors in Excel – Prevention Techniques: Data Validation and Cell Auditing
Preventing errors is as important as fixing them. Excel offers various tools to help you prevent errors before they occur. One such tool is data validation, which allows you to set rules for the type and range of data that can be entered into a cell. By using data validation, you can significantly reduce the likelihood of invalid data causing errors in your spreadsheets.
Another helpful feature is cell auditing, which enables you to trace the precedents and dependents of a cell. By understanding how cells are connected in your spreadsheet, you can identify potential sources of errors and correct them proactively.
8. Excel’s Built-in Error Checking Tools: How to Use Them Effectively
Excel provides built-in error checking options that can automatically detect and highlight potential errors in your spreadsheet. To access these options, go to the “Formulas” tab, click on “Error Checking,” and choose “Error Checking Options.”
Here, you can customize the types of errors Excel should check for and how it should alert you. By utilizing these built-in tools, you can quickly spot errors and address them before they cause significant issues in your calculations.
In conclusion, mastering the art of handling common Excel errors is essential for anyone working with spreadsheets. By understanding the causes of these errors and implementing the provided solutions, you can ensure the accuracy and reliability of your Excel-based analyses. Additionally, utilizing preventive measures and Excel’s error checking tools will empower you to create error-free spreadsheets, saving you time and frustration in your data-driven tasks.
Remember, practice makes perfect. The more you work with Excel and encounter these errors in Excel, the more adept you’ll become at identifying and resolving them efficiently. Happy Excel-ling!
Want to Unlock the Secrets in Your Data? #enterprisedna
Want to Unlock the Secrets in Your Data?
A picture is worth a thousand data points.
Facts or Fiction?
A good visualization distinguishes one from the other.
Numbers Don’t Lie
But they can mislead if presented wrong.
Visual Integrity
Ensure your visuals are as truthful as they are stunning.
Chart Choices
Line, bar, radar. Your choice could redefine your data.
The Human Element
Understand your audience for effective visualization.
Data’s Best Friend
Aim to become indispensable in your organization.
Lead with Visualization
Master the art at Enterprise DNA.
Why Just Good When You Can Be Great? #dataviz #datavisualization #enterprisedna
Why Just Good When You Can Be Great?
Turn your good visualizations into great ones. Find out how.
Do You Speak Data?
Let your data do the talking through visuals that make sense.
Death by Pie Chart
Some visuals can distort your message. Be careful.
Keys to Effective Visualization
Colors, scales, labels—every detail counts.
Size Matters
The scale of your visuals can amplify or dilute your insights.
Story Over Numbers
Your data tells a story. Make sure you’re narrating it well.
Take the Leap
Go beyond conventional graphs. Get creative.
Be a Data Artist
Bring your data to life. Learn how at Enterprise DNA.