J Korean Med Sci.  2021 Dec;36(47):e326. 10.3346/jkms.2021.36.e326.

Drawing Guideline for JKMS Manuscripts (03): Plots for Categorical Data

• Kim J
• Lee JS
• Kim S

• KMID: 2523243
• DOI: http://doi.org/10.3346/jkms.2021.36.e326

Abstract

The appropriate plot effectively conveys the author's conclusions to the readers. JKMS will provide a series of special articles to show you how to make consistent and excellent plots easier. In this article, we will cover plots with categorical data. We will show what ‘Bubble Plot,’ ‘Matrix Bubble Plot,’ and ‘Matrix Bar Plot’ are and how to make them.

Keyword

Plot; Categorical Data

Figure

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  Fig. 1 The sample data for Bubble Plot.

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  Fig. 2 Applying Bubble Plot.

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  Fig. 3 Theme and color palette of bubbles can be changed by need.

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  Fig. 4 Plot theme can be downloaded and converted into an editable form.

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  Fig. 5 The Bubble Plot data arranged in 4 columns of categories and 1 column of frequencies.

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  Fig. 6 The Bubble Plot shows the frequency in size and colors of circles.

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  Fig. 7 The sample categorical data for bar chart.

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  Fig. 8 The straightforward bar chart in expressing frequencies.

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  Fig. 9 The sample tool for converting frequency data into original data, and vice versa.

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  Fig. 10 You can find the changed data in the ‘converted data’ tab.

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  Fig. 11 One row represents one person.

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  Fig. 12 The data are organized with a frequency column in the ‘converted data’ tab.

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  Fig. 13 You can use your own data to plot the graph as well.

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  Fig. 14 The sample data for combination count plot with 2 variables.

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  Fig. 15 The 2 variables are arranged into 5 bundles of combinations.

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  Fig. 16 The more variables, the more bundles of combinations.

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  Fig. 17 The combination count plot can analyze more than 4 variables compared to the other tools discussed above.

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  Fig. 18 The Excel can easily organize the similar plots as well.