7 data quality issues and how to clean them in SPSS
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- čas přidán 14. 07. 2024
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Your ability to trust the results from your data largely depends on the quality of the data. It's garbage-in, garbage-out! In this tutorial, I will demonstrate to you how you can clean data in SPSS, from removing irrelevant cases, to converting data types, detecting and removing duplicates, fixing structural issues like typos, generating value sets from text variables, fixing outliers and dealing with missing values.
Download the dataset for practice: datafordev.com/wp-content/upl...
Sections
01:00 Irrelevant data
3:28 Incorrect data formats
04:50 Duplicates
06:42 Structural issues
08:57 Generating value sets
10:53 Outliers
14:14 Missing values
Exploring relationships between variables in SPSS: • Exploring relationship...
I just fell in love with statistics,,,, you made it so smooth and easy to understand
I am an Industrial Engineering student, and this video helped my group a lot in understanding how to clean data using SPSS. 10/10 would recommend everyone to view this video.
Thank you so much for the excellent video!
Thank you. I find this video very helpful.
This was really helpful. Thanks
Sir, thanks for your video. Kindly upload videos about various tools like correlation, regression used in statistics.
Very much informative. Love from Pakistan❤
very helpful: thanks so much
Hey, Thanks for the very informative video. Any tips on refreshing data if making any changes after analysis? To rerun or update the data? thank you
awsome!!
Alex I want to learn data like you where do I start from?
Nice
How to delete analysis in out put file
Very helpful video. Well delivered presentation. could make out the sweet GH₵ accent.