As the field of data analytics continues to grow and evolve, the ability to quickly and accurately analyze data has become an essential skill for businesses and individuals alike. One of the most popular tools for data analysis is Microsoft’s Power BI, which relies heavily on the DAX language to query and manipulate data. However, mastering DAX can be a daunting task, especially for those new to data analytics or programming.
This is where OpenAI’s ChatGPT comes in. As a powerful natural language processing tool, ChatGPT can help you quickly and efficiently master DAX, debug errors, and write more effective queries. With ChatGPT’s assistance, you can spend less time struggling with DAX syntax and more time analyzing data and making informed decisions. Whether you’re a seasoned data analyst or just starting out, ChatGPT can be an invaluable resource in your quest to become a DAX expert.
To really put ChatGPT to work, I pulled several questions from Power BI Community help forum to see how ChatGPT would respond. Here’s how it went down!
A DAX Example
PBI Community Question
Good morning.
On my spreadsheet I have in the same column a part number and the Working hours to replace that specific part number:
Follow an example:
The idea is to seach for the specifc part number "9001" and bring up the average of the time (118) take for replace the part (1.5)
Job Number Part Number Qty 123 9001 1 123 118 2 456 9001 1 456 118 1.5 789 9001 1 789 118 1
ChatGPT Solution (Checked by me)
You can use DAX to calculate the average time taken to replace a specific part number in your spreadsheet. Here’s an example measure that you can create in Power BI or Excel:
AvgTimeToReplace =
AVERAGEX (
FILTER ( 'Table', 'Table'[Part Number] = "9001" ),
'Table'[Working Hours]
)
In this measure, “Table” refers to the name of your table in Power BI or Excel. The FILTER function filters the table to only include rows where the Part Number is “9001”, and the AVERAGEX function calculates the average of the Working Hours for these rows.
You can then display this measure in a table or chart alongside other relevant data.
What About Power Query (M Query Language) Questions?
PBI Community Question
Hi there,
I have a sample table
index V1 V2 V3 V4 V5 1 1 2 3 1 2 2 1 -1 3 1 2 3 1 2 3 1 2 4 -1 2 3 1 2 5 1 2 3 1 2 6 1 2 3 -1 2 7 1 2 3 1 2 8 1 2 3 1 2 9 1 2 3 1 2 10 1 2 3 1 -1 I want to remove rows that have negative value in each column: V1, V2, V3, V4, V5, V6.
My result I want is:
index V1 V2 V3 V4 V5 1 1 2 3 1 2 3 1 2 3 1 2 5 1 2 3 1 2 7 1 2 3 1 2 9 1 2 3 1 2 Currently, I'm using this query, the result is OK but it is very long:
Filter1 = Table.SelectRows(#"Changed Type", each [#"V1"] >= 0) Filter2 = Table.SelectRows(#"Filter1", each [#"V2"] >= 0) Filter3 = Table.SelectRows(#"Filter2", each [#"V3"] >= 0) Filter4 = Table.SelectRows(#"Filter3", each [#"V4"] >= 0) Filter5 = Table.SelectRows(#"Filter4", each [#"V5"] >= 0) Filter6 = Table.SelectRows(#"Filter5", each [#"V6"] >= 0)I will have problem if I have many columns. My idea is I will iterate all column start with V, I'm following this topic https://community.powerbi.com/t5/Power-Query/Remove-rows-based-on-condition-in-different-columns/m-p... and trying another query:
= let #"SelectColumns" = Table.SelectColumns(Source,List.Select( Table.ColumnNames(#"Changed Type"), each Text.Contains(_,"V"))), #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each if Table.SelectColumns(#"SelectColumns") >= 0 then 1 else 0), #"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([Custom] = 1)), #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Custom"}) in #"Removed Columns"
I have a problem with step: #"Added Custom".
How can I fix it? Please help.
ChatGPT Solution (Also Verified)
To fix the issue in your query, you can modify the line where you add the custom column by using the following code instead:
#"Added Custom" =
Table.AddColumn(
#"SelectColumns",
"Custom",
each List.AllTrue(
List.Transform(
Record.ToList(_), each _ >= 0)
),
type logical
)
In this measure, “Table” refers to the name of your table in Power BI or Excel. The FILTER function filters the table to only include rows where the Part Number is “9001”, and the AVERAGEX function calculates the average of the Working Hours for these rows.
You can then display this measure in a table or chart alongside other relevant data.
Authors Word of Advice
As a language model, ChatGPT is a powerful tool for generating code or solving Power BI or DAX problems. However, it is important to use it responsibly in order to ensure the accuracy and reliability of the results it produces.
When generating code using ChatGPT, it is important to provide clear and specific instructions to ensure that the generated code is appropriate for the task at hand. It is also important to carefully review and test the code before using it in a production environment to ensure that it works as intended and does not introduce any security or performance issues.
When using ChatGPT to solve Power BI or DAX problems, it is important to have a solid understanding of the underlying concepts and principles in order to effectively evaluate the results produced by the model. It is also important to carefully review and validate the results to ensure that they are accurate and appropriate for the specific problem at hand.
Ultimately, using ChatGPT responsibly requires a combination of technical expertise, critical thinking, and careful review and testing of the results produced by the model. By approaching the tool in a responsible and thoughtful way, users can leverage its power to effectively solve complex problems and generate high-quality code.
How to Maximize Benefit of ChatGPT for Power BI Development
ChatGPT can be an invaluable tool for maximizing learning of DAX, Power Query, and Power BI skills. The model is capable of generating detailed explanations and examples for complex technical concepts, providing learners with a deep understanding of these technologies. By using ChatGPT to answer questions or provide guidance on specific technical challenges, learners can quickly and easily identify gaps in their knowledge and develop a more comprehensive understanding of these technologies.
Additionally, ChatGPT can be used to generate code snippets and templates that learners can use to practice their skills and experiment with different approaches to solving technical challenges. This can help learners develop a more intuitive understanding of these technologies and gain valuable hands-on experience that can be applied in real-world settings.
Overall, by leveraging the power of ChatGPT, learners can maximize their understanding of DAX, Power Query, and Power BI, accelerating their learning and helping them develop the skills needed to succeed in today’s data-driven business environment. Whether used to answer specific technical questions or to provide guidance and support as learners work through complex technical challenges, ChatGPT is a powerful tool for improving learning outcomes and developing expertise in these critical technologies.
Here are 10 questions to start improving you DAX Today!
Here are 10 questions to start improving you DAX Today!
What are the best practices for writing efficient DAX code?
How can I improve my understanding of DAX functions and their syntax?
Can you explain how to use the CALCULATE function in DAX?
How can I optimize my DAX code to improve performance?
Can you provide some examples of complex DAX calculations and how to approach them?
What are the most common mistakes to avoid when writing DAX code?
How can I troubleshoot errors in my DAX formulas?
What resources do you recommend for learning and improving my DAX skills?
How do I use DAX to create measures and calculated columns in Power BI?
How can I use DAX to analyze and visualize data in Power BI?
As you continue to learn and grow your DAX coding skills, don’t hesitate to ask more specific and detailed questions that are tailored to your individual learning goals and needs.
When using ChatGPT to solve Power BI or DAX problems, it is important to have a solid understanding of the underlying concepts and principles in order to effectively evaluate the results produced by the model. It is also important to carefully review and validate the results to ensure that they are accurate and appropriate for the specific problem at hand.
Ultimately, using ChatGPT responsibly requires a combination of technical expertise, critical thinking, and careful review and testing of the results produced by the model. By approaching the tool in a responsible and thoughtful way, users can leverage its power to effectively solve complex problems and generate high-quality code.
You are up! Share your thoughts
Using ChatGPT to answer DAX, Power Query, Excel, Power BI, and other technical code questions can be incredibly time-efficient and improve efficiency in several ways. First, the model is capable of generating answers quickly and accurately, reducing the time needed to search for solutions manually. This can be particularly useful for complex or niche technical problems that are difficult to solve using conventional methods.
Additionally, the ability to generate code automatically can significantly reduce the time and effort required to complete coding tasks, freeing up valuable time to focus on other aspects of the project. This can lead to increased productivity and efficiency, particularly for professionals working on large or complex projects with tight deadlines.
Overall, using ChatGPT for technical code questions can be an incredibly time-efficient way to solve complex problems and complete coding tasks quickly and accurately. By leveraging the power of this advanced language model, professionals can save time and improve efficiency, ultimately leading to better outcomes and increased success in their projects.
When generating code using ChatGPT, it is important to provide clear and specific instructions to ensure that the generated code is appropriate for the task at hand. It is also important to carefully review and test the code before using it in a production environment to ensure that it works as intended and does not introduce any security or performance issues.
When using ChatGPT to solve Power BI or DAX problems, it is important to have a solid understanding of the underlying concepts and principles in order to effectively evaluate the results produced by the model. It is also important to carefully review and validate the results to ensure that they are accurate and appropriate for the specific problem at hand.
Ultimately, using ChatGPT responsibly requires a combination of technical expertise, critical thinking, and careful review and testing of the results produced by the model. By approaching the tool in a responsible and thoughtful way, users can leverage its power to effectively solve complex problems and generate high-quality code.