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What is Data Cleaning about?

The document outlines a data cleaning workflow using Jamovi, detailing steps from data input to finalizing a cleaned dataset. It emphasizes the importance of identifying and handling extreme values, missing data, and assessing normality through descriptive statistics and visualizations. The analysis reveals significant outliers and skewness in the data, leading to the removal of an extreme value to improve data integrity for further analysis.

Author

mithakshara.r

Language

EN