Upsampling surveys is usually a good practice when there might be under (or over) represented groups in your data. By using a scaling factor, we can adjust the influence each individual has in the hopes of better representing the actual distribution, had we sampled indefinitely.

Check out the upsample step for more information.

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Parameters

  • Weights: numeric column with weights representing by how much this particular row’s influence should be scaled
  • Minimum number of rows: number of rows you need to have in your dataset to ensure that the weighted representation accurately reflects the population, even considering the least influential respondent