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Related Concept Videos

Pie Chart01:04

Pie Chart

13.0K
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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Introduction to GIS01:28

Introduction to GIS

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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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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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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Introducing Google Chart Tools and Google Maps API in data visualization courses.

Ying Zhu

    IEEE Computer Graphics and Applications
    |May 9, 2014
    PubMed
    Summary

    This study explored Google Chart Tools and Google Maps for data visualization education. Students found these tools easy to use for creating interactive charts and maps.

    Area of Science:

    • Data Science
    • Educational Technology
    • Information Visualization

    Background:

    • Interactive data visualization is crucial for understanding complex datasets.
    • Educational tools for data visualization are essential for developing analytical skills.
    • Google Chart Tools and Google Maps offer powerful, yet underutilized, visualization capabilities.

    Purpose of the Study:

    • To evaluate the effectiveness of Google Chart Tools and Google Maps in a university-level data visualization course.
    • To assess student perceptions and ease of use of these specific visualization toolkits.
    • To highlight the benefits of integrating accessible online tools into data visualization pedagogy.

    Main Methods:

    • Implementation of Google Chart Tools and Google Maps within a data visualization curriculum at Georgia State University.

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  • Student engagement with the tools for hands-on data visualization projects.
  • Qualitative assessment of student experience and perceived usability.

    • Main Results:

    • Students successfully utilized Google Chart Tools and Google Maps to create diverse interactive data visualizations.
    • The toolkits were perceived as user-friendly, facilitating learning and project completion.
    • The integration demonstrated the practical application of visualization techniques.

    Conclusions:

    • Google Chart Tools and Google Maps are beneficial and accessible resources for data visualization education.
    • These tools can effectively enhance student learning and engagement in data visualization courses.
    • Further adoption of such toolkits in academic settings is recommended for practical skill development.