OHSU Big Data to Knowledge (BD2K)

Open Educational Resources (OERs) Project

Welcome to our beta site and modules! This website and the modules are under development and we welcome any feedback on this website and on the individual modules.

Visualization and Interpretation

Description

This module will help define the importance of visualization, help you describe your data’s quantitative and qualitative properties, identify the major types of visual properties that are used when we create data visualization, and learn how to encode your data using appropriate visual properties.

Objectives

At the completion of this component, the learner will be able to:

  • Understand why visualization important
  • Be able to describe data and how its intrinsic properties can be used to create a visualization
  • Identify major types of visual properties
  • Understand the steps used to create a visualization

Team

  • Team Lead(s): Jackie Wirz

GitHub

Module Materials

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Supplemental Material for Topic

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Introduction to Visualization

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Parts of the course

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