Reading the percentage values for Strongly Disagree.Comparing the combination of Agree and Strongly Agree percentages.Comparing the combination of Strong Disagree and Disagree percentages.Comparing Strongly Disagree percentages.
This particular design does work well for the following purposes: Our discussion focused primarily on the following graph that appears in her book as an exemplar of graphical communication. She graciously welcomed the opportunity, so I began the discussion via email later in the week. When Cole and I met for lunch last week, shortly before departing I asked if she would be interested in discussing matters on which we apparently disagree and suggested 100% stacked bar graphs as our opening topic. I was prompted to write about this when I recently read the book titled “Storytelling with Data” by Cole Nussbaumer Knafic. I’ve found that 100% stacked bar graphs are only useful in three specific situations, which I’ll describe in a moment. Therefore, they would never be appropriate when information about totals and the parts of which they are made are both of interest, though normal stacked bars often work well in this scenario. Consequently, when multiple 100% stacked bars appear in a graph, they only provide information about the parts of some whole, never about the wholes and how they differ. Unlike normal stacked bars, the lengths of 100% stacked bars never vary, for they always add up to 100%. I’ve found that 100% bar graphs, designed in the conventional way, are only useful for a limited set of circumstances. I’ll begin this blog article by answering the question that appears in the title.
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