In the event of missing data, there are typically a series of questions that should be asked:
• Determine the reason for the missing data; what is the process that lead to the data being missing?
• Is the proportion of missing values so high as to invalidate any sort of analysis?
• Is there information in the dataset that would allow you to predict/infer the values of the missing data?
If you want to change selection, open document below and click on "Move attachment"
- (no access) - Exploratory_Data_Analysis_with_R_Peng.pdf, p142
|status||not read|| ||reprioritisations|
|last reprioritisation on|| ||suggested re-reading day|
|started reading on|| ||finished reading on|