Custom Function and Invoke Function in Power Query | Power BI Tutorial in Hindi | Episode 23
Data_to_Intelligence
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Custom Function and Invoke Function in Power Query | Power BI Tutorial in Hindi | Episode 23
126 просмотров · 7 дн. назад
Data_to_Intelligence
130 подписчиков
126 просмотров · 7 дн. назад
Welcome to Episode 23 of the Power Query Tutorial Series on Data to Intelligence – Learn with Dr. Banshilal Patidar.
🎬 Download dataset :- https://drive.google.com/drive/folder...
In this episode, we will explore two powerful concepts in Power Query: Custom Functions and Invoke Functions. These features help you automate repetitive data transformation tasks, reuse existing logic, and build efficient data preparation workflows in Power BI.
Imagine that you receive 100 Excel files containing monthly sales data. You need to perform the same cleaning operations on every file, such as removing unnecessary columns, changing data types, filtering records, or calculating new values. Would you clean all 100 files manually? Of course not!
With Power Query functions, you can write your transformation logic once and reuse it with different inputs. This is where Custom Functions and Invoke Functions become extremely useful.
📚 What Will You Learn in This Episode?
✅ What is a function in Power Query?
✅ What is a Custom Function?
✅ Introduction to parameters and arguments.
✅ How to create a Custom Function in Power Query.
✅ How to understand the M language syntax used in functions.
✅ What does Invoke Function mean?
✅ How to invoke a function with different input values.
✅ How to create a function using the Advanced Editor.
✅ How to apply a custom function to a table column.
✅ How to reuse transformation logic across multiple datasets.
✅ Practical examples using sales data.
✅ Common errors and troubleshooting techniques.
1. What Is a Custom Function in Power Query?
A Custom Function is a reusable piece of M language code that accepts input values, performs an operation, and returns a result.
Instead of writing the same calculation or transformation repeatedly, you can create a function once and call it whenever required.
2. What Is Invoke Function?
Invoke Function means calling or executing a function by supplying the required input values.
After creating a custom function, you need to invoke it to obtain results.
3. Real-World Use Cases
Custom Functions can help automate tasks such as:
• Cleaning and standardizing text values.
• Applying the same business rules to multiple tables.
• Calculating discounts, taxes, or commissions.
• Transforming data from multiple Excel files.
• Extracting information from text strings.
• Processing API responses.
• Applying reusable logic to monthly or yearly datasets.
For example, if a business receives separate sales files every month, a reusable function can standardize their columns and data types before combining the files.
Power Query's Combine Files feature often creates a sample-file transformation function automatically. Understanding custom functions helps you understand and customize this process.
4. Common Mistakes to Avoid
• Forgetting to supply a required parameter.
• Passing text to a function that expects a number.
• Using an incorrect function or query name.
• Confusing the creation of a function with its execution.
• Ignoring null values or errors in the source data.
• Returning a different data type than expected.
🎯 Why Should You Learn Custom Functions?
Custom Functions and Invoke Functions are important steps towards advanced Power Query development. They help you move from performing individual transformations to designing reusable and automated data workflows.
By understanding these concepts, you will be better prepared to work with large datasets, repetitive data-cleaning tasks, multiple Excel files, and complex business requirements.
👨🎓 Who Should Watch This Video?
This episode is ideal for:
• Beginners learning Power BI and Power Query.
• Aspiring data analysts.
• Excel users transitioning to Power BI.
• Power BI developers who want to learn M language.
• Professionals who work with repetitive data transformations.
• Anyone interested in automating data preparation tasks.
Our goal is to make data analytics easy to understand through real-world examples and hands-on demonstrations.
👍 Like this video if you find it useful.
💬 Question for viewers: If you need to apply the same calculation to 1,000 rows, would you prefer writing the formula repeatedly or creating one reusable function? Share your answer in the comments!
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