Can you describe a scenario where you would need to handle missing values when calculating the median in R?

  • Analyzing survey data with missing responses
  • Calculating the median income with missing income values
  • Working with a dataset that contains NA values
  • All of the above
All of the mentioned scenarios may require handling missing values when calculating the median in R. For example, when analyzing survey data, it's common to have missing responses that need to be handled appropriately. Similarly, when calculating the median income, missing income values should be accounted for. Handling missing values ensures accurate median calculations and prevents biased results.
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