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  • Digital Scholarship
    • DS Methods Overview
      • ¶ Data Visualization
        • Basic Charts
        • Timeline
        • Treemap
        • Network
      • ¶ Mapping
        • GIS
        • Story Maps
        • Maps as Interface
      • ¶ 3D & Immersive Technologies
        • Augmented Reality & Virtual Reality
        • 3D Modeling & Laser Scanning
        • Immersive Games
        • 360 Degree Capturing
      • ¶ Digital Exhibits
        • Example Exhibits
      • ¶ Hypertext
        • Publishing & Presenting
        • Multimedia
        • Narratives & Games
      • ¶ Textual Encoding Initiative
        • What Does TEI Markup Look Like?
        • Facsimiles & Critical Editions
      • ¶ Text Analysis
        • Out of the Box vs Coding and Scripting
        • Text Analysis Examples
    • Introduction to Data
      • ¶ What is Data?
        • Structured & Unstructured Data
        • Quantitative & Qualitative Data
        • Humanities & Data
      • ¶ What is Data Visualization?
      • ¶ DS Data Projects
        • Getting Started Questions
        • Project Examples
        • Visualization Tools
      • ¶ Research Data Lifecycle
        • Data Management Best Practices
      • ¶ Glossary
    • Introduction to Mapping
      • ¶ What is Spatial Data?
      • ¶ Vector and Raster Data
        • Vector and Raster Data Examples
        • File Format Examples
      • ¶ Starting a Mapping Project
        • Getting Started Questions
        • Project Examples
        • Mapping Tools and Platforms
    • Introduction to Digital Exhibits
      • ¶ What is a Digital Exhibit?
        • Related Concepts
      • ¶ Starting a Digital Exhibit
      • ¶ Exhibit Examples
      • ¶ Platforms
  • Digital Pedagogy
    • ¶ What is Digital Pedagogy?
    • ¶ Considerations
    • ¶ Recommendations
    • ¶ Assignment Design
      • Learning Outcomes
      • Mode/Method/Tool Process
      • Assignment Examples
    • ¶ Evaluation
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      • Recommended File Formats
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  1. Digital Scholarship
  2. DS Methods Overview

¶ Data Visualization

PreviousDS Methods OverviewNextBasic Charts

Last updated 3 years ago

Data visualization is the graphical representation of data, which researchers use to identify patterns, trends, outliers, etc., and for creating visual evidence to support a scholarly claim. The range of vary considerably, e.g., scatterplot, bar chart, and line graph. The kind you will see in the examples here are timeline, maptree, and network. GIS, a form of data visualization that uses geospatial data, will be discussed in the mapping section. (To learn more about data and data visualization, see .)

visualization chart types
Introduction to Data