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Related Concept Videos

Pie Chart01:04

Pie Chart

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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.
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...
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Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

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Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
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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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Review and Preview01:13

Review and Preview

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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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Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

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Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
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Multiple Bar Graph01:07

Multiple Bar Graph

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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...
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Updated: Oct 19, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Activity Worksheets for Teaching and Learning Data Visualization.

Vetria Byrd, Nicole Dwenger

    IEEE Computer Graphics and Applications
    |September 24, 2021
    PubMed
    Summary

    This study introduces the Data Visualization Activity (DVA) worksheet method to teach data visualization. These worksheets guide instructors and students through the data visualization process, aiding curriculum development.

    Area of Science:

    • Data Science Education
    • Information Visualization Pedagogy

    Background:

    • Novice instructors and students often lack formal training in data visualization and pedagogy.
    • Effective teaching methods are crucial for building data visualization capacity across disciplines.

    Purpose of the Study:

    • To present the Data Visualization Activity (DVA) worksheet method for teaching and learning data visualization.
    • To provide a structured approach for developing data visualization curriculum and course work.
    • To support data visualization capacity building for educators and learners.

    Main Methods:

    • Development of a series of activity worksheets guiding users through the data visualization process.
    • Worksheets designed to focus on individual steps, allowing for tailored, discipline-specific application.

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  • Evolution from paper-based to semi-automated worksheets, implemented in Fall 2020.

    • Main Results:

    • The DVA worksheet method provides a flexible framework for learning and teaching data visualization.
    • Worksheets can be used individually or as a collection to enhance data visualization skills.
    • The transition to semi-automated worksheets improved the process in Fall 2020.

    Conclusions:

    • The DVA worksheet method effectively supports novice instructors and students in learning data visualization.
    • The approach facilitates curriculum design and capacity building in data visualization.
    • Future work will focus on further improvements and refinements to the worksheet method.