________ refers to the proportion of missing values in a dataset.
- Data Density
- Data Imputation
- Data Missingness
- Data Sparsity
Data Missingness refers to the proportion of missing values in a dataset. It indicates the extent to which data points are absent or not recorded for certain variables. Understanding data missingness is crucial for data analysis and modeling as it can affect the validity and reliability of results. Techniques such as data imputation may be used to handle missing data effectively.
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