How to import and clean messy data with Power Query #powerbitutorial #powerquerytutorial

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In this video, you will learn how to import and clean messy data from a text (.txt) file.

Topics Covered:
00:00 Introduction
00:58 Review and identify the challenge at hand
06:30 Connect .txt file using Get Data
08:00 Launch Power Query to Transform Data
09:56 Remove the unwanted header rows
11:33 Promote top row as headers
11:55 Remove blank rows
13:22 Remove the repeated column headers
14:25 Remove the unwanted blank columns
16:50 Change data types manually
17:37 USING LOCALES - Change data type for [Price Each] and [Order Date] columns
19:37 Split Order Date column into separate [Order Date] and [Order Time] columns
21:14 Split [Purchase Address] column to get [City], [State Code] and [Post Code]
25:12 Check the Data Quality and Data Distribution across columns
26:26 Insert [Index] column
30:20 Close & Apply changes to commit the transformations
31:07 Save changes and create the .pbix file
32:31 Recap of the key learning points
33:37 What's next...

Thanks for watching. If you have any comments regarding the topics covered in this video, then pease leave a comment.

#powerquery #powerquerytutorial #powerbitutorial #biwithgurpreet
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Amazing teaching sir..Thanks for sharing Practice file

jaitiwari
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Understandable and to the point. Big help for those of us starting to work with PBI and have no clue how things are done. Thank you.👍

dr.drakeramore
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Very good description of the process. Clear and on the point. Easy to follow and understand. Thanks for this great intro.

patrickstoeckmann
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Learned a lot from you Gurpreet in this half hour session. Please keep it up. I have one humble request: Can I scrape the video thumbnail please. I want to work as a freelancer and I just love your thumbnail. So please if you allow me to use it. Thanks

qasimjan
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In-depth knowledge and teaching skills are Marvels.... thank you for providing knowledge for Asperint

deeproar
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Can you please share video on DAX language

taizoondean
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