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Related Concept Videos

pV-Diagrams01:18

pV-Diagrams

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The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
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Interpreting R Charts01:22

Interpreting R Charts

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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...
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Residual Plots01:07

Residual Plots

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A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
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Scatter Plot01:15

Scatter Plot

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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:
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Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Modified Boxplots00:57

Modified Boxplots

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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...
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Exploring Reproducibility in Visualization.

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    The National Academies report highlights challenges in scientific reproducibility and replicability. This viewpoint discusses these issues for the visualization community and offers recommendations for improvement.

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    Area of Science:

    • Computer Science
    • Information Science
    • Scientific Research Methodology

    Background:

    • The National Academies of Sciences, Engineering, and Medicine (NASEM) released a report on "Reproducibility and Replicability in Science."
    • This report has spurred discussions across disciplines regarding the adoption and challenges of reproducible research.
    • Key areas of concern include publishing reproducible results and developing effective improvement strategies.

    Purpose of the Study:

    • To initiate a discussion on reproducibility challenges within the visualization community.
    • To address how these specific challenges can be overcome.
    • To summarize findings from the NASEM report and a panel discussion.

    Main Methods:

    • Summarizing key findings from the NASEM report.
    • Analyzing discussions from a panel at the IEEE VIS conference 2019.
    • Outlining recommendations tailored for the visualization community.

    Main Results:

    • Identified specific reproducibility and replicability challenges faced by researchers in the visualization field.
    • Highlighted the current state of adoption and barriers to publishing reproducible visualization research.
    • Synthesized expert opinions and NASEM report insights.

    Conclusions:

    • The visualization community faces unique hurdles in achieving reproducibility and replicability.
    • Actionable recommendations are proposed to enhance the adoption of reproducible practices.
    • Fostering a culture of reproducibility is crucial for scientific advancement in visualization.