About this Tutorial
This is the second in a series of digital learning object modules designed to instruct students on finding, interpreting and utilizing public Open Data. The project integrates Information Literacy curriculum with instruction on data and spatial literacy skills that are increasing essentially across a variety of disciplines. This learning object, entitled "Principles of Data Visualization" integrates video tutorials with exercises and assessment and can be used by itself or in conjuction with other modules.
Assessment and Scoring:
- The tutorial includes twenty-four scored exercises worth 1 point each that contribute to the final score. You must have Javascript turned on in your browser in order for your score to be calculated.
- To print a certificate with your scores or to email your assessment scores to your instructor, click Print Certificate or Email Scores at the end of this tutorial.
Video Tutorials
You can browse or review the component video tutorial independant of this learning module on the project's YouTube playlist:
Oviatt Library - Data VisualizationThe embedded video tutorials are optimized for HD 720p playback. This may cause buffering in some environments, and may not be rendered at high resolution in Internet Explorer. To adjust the quality, follow the instructions on the: YouTube Video Quality Help page
Accessibility
All video tutorials have been captioned and are keyboard-navigable, as are the exercises. To view a transcript of any video or to find text information about an exercise, click the keyhole icon adjacent to it. A comprehensive list of keyboard controls is in the: Student Guide to SoftChalk Lessons.
Technical Support
For more help with this and other learningmodules created using SoftChalk software, see the:
Student Guide to SoftChalk Lessons