![]() ![]() Besides, a quarter of all students were involved in business, administration and law studies. There were 19.8 million tertiary students that year, women accounted for 54% of that number although the majority of the students following doctoral titles were men. Next figure is related with statistics of tertiary education in the European Union (EU-28) in 2017. 3: stacked bar graph with the same data as Fig. The quantity of each subcategory is shown by the length or height of those rectangular bars that are located side by side forming a cluster, with gaps between clusters slightly wider than a single standard bar.įig. Each principal category is divided into a cluster of bars representing subcategories of the second categorical variable. The axis with numerical values must have a scale with its corresponding measurements units.ĬBC are represented by means of sets of rectangular bars that can be oriented horizontally or vertically. ![]() The axis where the categories are indicated does not have a scale to highlight that it refers to discrete (mutually exclusive) groups. How: as usual with bar charts, CBC are two-dimensional with two axes: one axis shows categories, the other axis shows numerical values. They should not be used for Relationship or Distribution analysis. They allow to visualize how subgroups change over time, but the chart becomes difficult to read with the extension in time and with the increase in the number of subcategories. They enable to make comparisons across subcategories whilst Stacked Bar Graphs make comparisons within subcategories. CBC are particularly effective when a whole is divided into multiple parts. Unlike Stacked Bar Graphs, the elements that make up the subcategories may be diffusely related. Similar to Stacked Bar Graphs, they should be used for Comparisons and Proportions but with emphasis on Composition. Why: Clustered Bar Charts (CBC) display numerical information about the relative proportion that exists between a main category and its subgroups that belongs to a second categorical variable.
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