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Related Concept Videos

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Histogram01:05

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The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
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Review and Preview01:13

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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...
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Time-Series Graph00:54

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Bar Graph01:07

Bar Graph

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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...
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Methods of Documentation IV: Focus Charting01:26

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Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
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What Data Do and Do Not Represent: Visualizing the Archive of Slavery.

Shiyao Li, Margy Adams, Tanvi Sharma

    IEEE Computer Graphics and Applications
    |March 20, 2025
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    Summary

    This study visualizes trans-Atlantic slave trade data, focusing on humanistic insights to highlight enslaved individuals and data limitations. It emphasizes resistance acts, honoring the people behind historical records.

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    Area of Science:

    • Digital Humanities
    • Data Visualization
    • History

    Background:

    • The trans-Atlantic slave trade generated vast datasets, often abstracting the human experience.
    • Historical scholarship and humanistic theory offer frameworks for interpreting and visualizing such sensitive data.
    • Existing data visualizations may fail to represent the full humanity and agency of enslaved individuals.

    Purpose of the Study:

    • To design a humanistically-informed data visualization of the trans-Atlantic slave trade.
    • To use quantitative data (1565-1858) alongside historical scholarship to represent the enslaved people.
    • To explore what data can and cannot represent regarding historical violence and resistance.

    Main Methods:

    • Reviewing the histories of slavery and data collection.
    • Applying theories on the archive of slavery, historical violence, and representation.
    • Developing a design approach for data visualization informed by humanistic principles.

    Main Results:

    • A design report for a data visualization focusing on the human element of the slave trade.
    • Identification of theoretical frameworks for ethical and meaningful data representation.
    • Emphasis on visualizing acts of resistance, both recorded and unrecorded, by the enslaved.

    Conclusions:

    • Data visualization can be a powerful tool for humanistic inquiry when guided by ethical considerations.
    • Visualizing the trans-Atlantic slave trade requires attention to historical context, theoretical underpinnings, and the limitations of data.
    • The design aims to honor the enslaved by highlighting their agency and resistance, moving beyond mere data points.