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Related Concept Videos

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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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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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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.
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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.
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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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The Stories We Tell About Data: Surveying Data-Driven Storytelling Using Visualization.

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    Data-driven storytelling uses familiar narratives to explain complex data. This study introduces a media-type taxonomy, revealing untapped potential in areas like spoken word and video games for enhanced data communication.

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    Area of Science:

    • Information Science
    • Data Visualization
    • Human-Computer Interaction

    Background:

    • Data-driven storytelling (DDS) translates complex data into understandable narratives.
    • Current DDS often employs slideshows, videos, and comics.
    • There is a need to expand the media repertoire for DDS.

    Purpose of the Study:

    • To propose a taxonomy of media types for data-driven storytelling.
    • To identify underutilized media formats in current DDS practices.
    • To explore novel DDS mechanisms based on the proposed taxonomy.

    Main Methods:

    • Conducted a survey of existing data-driven storytelling practices.
    • Developed a classification system focused on media types.
    • Explored new storytelling mechanisms using the taxonomy as a generative tool.

    Main Results:

    • Identified that current DDS practices do not fully utilize available media types.
    • Highlighted underused media such as spoken word, e-learning, and video games.
    • Proposed three novel storytelling mechanisms: live streaming, gesture-driven presentations, and data-driven comics.

    Conclusions:

    • The proposed taxonomy broadens the scope of DDS by including diverse media formats.
    • Designers can leverage a wider range of tools for more effective data communication.
    • Future DDS can integrate emerging media for richer, more engaging data narratives.