Missing values are a common challenge in data analysis, and properly reporting them is a critical step in understanding your data. By examining the patterns and proportions of missing values, you can assess the potential impact on your analysis and decide how to handle them effectively.
The attached image, created using the VIM package in R, illustrates the proportion of missing values across variables.
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