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Related Concept Videos

Bar Graph01:07

Bar Graph

23.4K
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...
23.4K
Multiple Bar Graph01:07

Multiple Bar Graph

10.3K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
10.3K
Pie Chart01:04

Pie Chart

16.7K
A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
16.7K
Pareto Chart00:52

Pareto Chart

7.9K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.9K
Interpreting R Charts01:22

Interpreting R Charts

376
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
376
The R Chart01:02

The R Chart

443
In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
443

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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

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Data visualization, bar naked: A free tool for creating interactive graphics.

Tracey L Weissgerber1, Marko Savic2, Stacey J Winham3

  • 1From the Division of Nephrology and Hypertension and weissgerber.tracey@mayo.edu.

The Journal of Biological Chemistry
|October 5, 2017
PubMed
Summary
This summary is machine-generated.

Bar graphs often misrepresent continuous data in small studies. New interactive tools offer better data visualization, promoting transparency and reproducibility in biomedical research.

Keywords:
bar graphsdata visualizationinteractive graphicsopen sciencetransparency

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Area of Science:

  • Biomedical Research
  • Data Visualization
  • Scientific Communication

Background:

  • Bar graphs are frequently used for continuous data, despite being designed for categorical data.
  • This practice can obscure data distributions and lead to misinterpretations, especially with small sample sizes.
  • Journal policies increasingly mandate the visualization of data distributions to enhance clarity.

Purpose of the Study:

  • Introduce free, web-based tools for creating interactive data visualizations.
  • Provide alternatives to traditional bar graphs for presenting continuous data.
  • Enhance transparency and reproducibility in basic biomedical research.

Main Methods:

  • Developed a web-based tool for creating interactive dot plots, scatterplots, box plots, and violin plots.
  • The tool requires no programming expertise and allows customization.
  • A second tool facilitates visualization of data from repeated independent experiments.

Main Results:

  • The tools enable the creation of interactive graphics, including overlaid individual data points.
  • Features support the visualization of subgroups and non-independent data.
  • Interactive plots facilitate comparison of continuous variables across study groups.

Conclusions:

  • Interactive visualization tools offer a superior alternative to bar graphs for continuous data.
  • These tools promote critical evaluation of data and summary statistics.
  • Adoption of these tools can advance transparency, reproducibility, and open science principles.