Simple Table Normalization - Power Query Challenge 34
Simple Table Normalization - Power Query Challenge 34
In this tutorial, we're tackling a common data challenge that many face when working with mixed data. Often, dates and product names end up in the same column, making it hard to analyze or organize the data properly. If you're just getting started with Power Query, this tutorial is perfect for you! We'll walk through a straightforward, beginner-friendly approach to separate dates from products efficiently, ensuring each product entry has its corresponding date.
By the end of this video, you'll know how to:
Import and inspect your data in Power Query
Use conditional logic to isolate dates
Fill down values to match dates with products
Filter out unnecessary rows to clean up your data
Whether you’re dealing with inventory, sales records, or any other dataset, this step-by-step guide will help you manage mixed data in Power Query with ease. So, let's dive in and see how to transform and clean up your dataset in no time!
Timestamps:
00:00 - Power Query challenge
00:21 - Grabbing Dates
00:53 - Filling down values
01:10 - Filtering blanks
01:31 - Finishing touches
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Links:
Challenge Author: Omid Motamedisedeh
LinkedIn: / omidmot
Youtube: / @omidbi
Website: https://www.omidbi.com/
Power Query Challenge: https://www.linkedin.com/posts/omid-m...
Download Workbook:
https://lnkd.in/gGNzd58V
'Power Query Challenges' Playlist: • Power Query: Challenges
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