Related Experiment Video
Updated: Oct 11, 2025
07:35
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
7.7K
Drawing Guideline for JKMS Manuscripts (03): Plots for Categorical Data.
Jeehyoung Kim1, Jung Soo Lee2, San Kim1
1Department of Orthopedic Surgery, Seoul Sacred Heart General Hospital, Seoul, Korea.
Journal of Korean Medical Science
|December 7, 2021
Summary
Learn to create effective plots for categorical data, including Bubble Plots, Matrix Bubble Plots, and Matrix Bar Plots, to clearly present research findings.
Area of Science:
- Data Visualization
- Scientific Communication
- Statistical Graphics
Background:
- Effective data visualization is crucial for conveying research findings.
- Categorical data requires specific plotting techniques for clear interpretation.
- Many researchers struggle with creating consistent and impactful plots.
Framework:
- This article introduces three plot types: Bubble Plot, Matrix Bubble Plot, and Matrix Bar Plot.
- These methods are designed for visualizing categorical data effectively.
- The focus is on simplifying the creation of high-quality scientific graphics.
Implementation:
- Step-by-step guidance on constructing Bubble Plots.
- Detailed instructions for generating Matrix Bubble Plots.
- Methodology for creating Matrix Bar Plots.
Implications:
- Improved clarity in presenting research conclusions.
- Enhanced reader comprehension of complex datasets.
- Standardization of excellent plotting practices in scientific publications.
Related Concept Videos
01:12Boxplot
11.8K
Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
11.8K
00:57Modified Boxplots
10.5K
A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
10.5K
01:23Dosage Regimen Designs: Nomograms and Tabulations
20
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
20
01:15Scatter Plot
10.1K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
10.1K
01:07Bar Graph
20.3K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
20.3K
01:13Review and Preview
9.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.9K