𝗗𝗮𝘁𝗮𝗙𝗼𝗿𝗺𝗮𝘁. 𝗘𝗿𝗿𝗼𝗿: 𝗪𝗲 𝗰𝗼𝘂𝗹𝗱𝗻'𝘁 𝗰𝗼𝗻𝘃𝗲𝗿𝘁 𝘁𝗼 𝗡𝘂𝗺𝗯𝗲𝗿 || POWER QUERY || POWER BI

🟢The Importance of Data Cleaning in Power Query:👇👇👇

A Lesson Learned

As data professionals, we often face the challenge of dealing with messy data. Recently, I encountered an issue in Power Query where transforming
𝗮 𝗱𝗮𝘁𝗲 𝗰𝗼𝗹𝘂𝗺𝗻 𝗿𝗲𝘁𝘂𝗿𝗻𝗲𝗱 𝘁𝗵𝗲 𝗱𝗿𝗲𝗮𝗱𝗲𝗱 𝗲𝗿𝗿𝗼𝗿:
{𝗗𝗮𝘁𝗮𝗙𝗼𝗿𝗺𝗮𝘁. 𝗘𝗿𝗿𝗼𝗿: 𝗪𝗲 𝗰𝗼𝘂𝗹𝗱𝗻'𝘁 𝗰𝗼𝗻𝘃𝗲𝗿𝘁 𝘁𝗼 𝗡𝘂𝗺𝗯𝗲𝗿}.

With over 3 million rows in the dataset, pinpointing the exact problem might seem impossible, but thanks to Power Query's "Keep Errors" feature, I was able to quickly identify the root cause. Surprisingly, just one single row with a problematic value was enough to halt the entire process.


Here's what I did:

Applied "𝗞𝗲𝗲𝗽 𝗘𝗿𝗿𝗼𝗿𝘀": This feature filtered out all the correct data, allowing me to focus solely on the problematic rows.
Analyzed the Error: After narrowing down the data, I identified
𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗲𝗿𝗿𝗼𝗿 𝗶𝗻 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗰𝗮𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗶𝘀𝘀𝘂𝗲.➡️(𝘃𝗶𝗱𝗲𝗼 𝘁𝗵𝘂𝗺𝗯𝗻𝗮𝗶𝗹)

Resolved and Removed: Once identified, I removed the error, allowing the data transformation to proceed smoothly.

💡Key Takeaway: 𝗗𝗮𝘁𝗮 𝗰𝗹𝗲𝗮𝗻𝗶𝗻𝗴 𝗶𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹. Even a 𝘀𝗺𝗮𝗹𝗹 𝗲𝗿𝗿𝗼𝗿 𝗶𝗻 𝗼𝗻𝗲 𝗿𝗼𝘄 (𝘃𝗶𝗱𝗲𝗼 𝘁𝗵𝘂𝗺𝗯𝗻𝗮𝗶𝗹) can lead to major issues. Using tools like "Keep Errors" can save time and effort, helping you maintain data integrity and ensuring

that your analysis is based on accurate information.

Have you faced similar challenges in your data processing journey? How did you overcome them?