Weighted Medians for Weighted Data in Tableau

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Weighted Medians for Weighted Data in Tableau

There are two ways weighted medians get talked about in Tableau: The first type of weighted median is the one we covered in our earlier Padawan Dojo: Weighted Averages and Weighted Medians post where we’re aggregating a data set and we want to make sure the median is computed over the underlying records. This post is about the second type of weighted median when the data itself has a weight, for example in survey data where each respondent has an assigned weight and we want to find the weighted median value of responses.

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Padawan Dojo: Weighted Averages and Medians in Tableau

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Padawan Dojo: Weighted Averages and Medians in Tableau

This is the first of two posts on weighted averages and medians, this one introduces a problem we've seen multiple times where reference lines aren't properly weighted. We need to use a different set of options in Tableau to get the desired results and are helped by an understanding of the different levels of detail that Tableau uses to aggregate measures.

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Concatenating Rows into String Lists in Tableau for #VisualizeNoMalaria

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Concatenating Rows into String Lists in Tableau for #VisualizeNoMalaria

As part of the Tableau Foundation/PATH/Zambia Ministry of Health #VisualizeNoMalaria project to eliminate malaria in Zambia by 2020 we had a request to build a “report” to show when health facilities have not submitted malaria incidence data so that administrators and staff can be notified in an easy-to-ready way.   element (such as all the product categories a customer has purchased), etc. Read on for how to do this yourself and learn a bit more about the different levels of detail of data that we work with in Tableau.

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