7 data quality issues and how to clean them in SPSS

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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: https://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

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