Hi Bluesky Statistics Team, I am encountering the follow error for missing values analysis where my Missing Value Count per Variable does not Match Row Numbers.
Please see following:
In analyzing the Missing Values for a dataset, the "Missing Value (NAs) Count Per Variable" highlights accurately the 8 NAs from 2 different variables but the corresponding table from "Row Numbers for Variables that have NAs" from the same output for this function returns the WRONG variables but right row numbers.
Why is this the case?
See attached photo for reference. "Row Numbers for Variables that have NAs" should display FVC: 67, 68 and CHOLEST: 31, 39, 47, 69, 72 ,78 instead (have verified these were missing in the original data set)
The same sort of error repeats for other data sets
Appreciate the help, thank you!
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Thanks for sharing this detailed analysis. It's really helpful for understanding the inconsistency in missing value reporting. It reminds me how crucial accurate data processing is, especially when relying on analytics for decision-making. For those working on academic reports or data-driven papers, partnering with affordable essay writers can also help ensure clarity and correctness in presenting such findings. Looking forward to the Bluesky Statistics team's insights on this issue.
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