How to import and clean messy data with Power Query
Автор: Gurpreet Dhindsa
Загружено: 2022-11-18
Просмотров: 3622
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.
Link to the .txt file used in the demo: https://tinyurl.com/2p8y4f3n
Final Power BI (.pbix) file: https://tinyurl.com/biwithgurpreet
#powerquery #powerquerytutorial #powerbitutorial #biwithgurpreet
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