journal week 1

Prior to completing this journal,

Read

Chapter 1: Data Visualization: A Primer from the course text, The Big Book of Dashboards

A Guide to Creating Dashboards People Love to Use: Translating Delicious Data Into a Beautiful Design

  • Links to an external site.
  • Watch

    The Value of Data Visualization

    Links to an external site.

    Review

    Graph Selection Matrix

    Download Graph Selection Matrix

    You have spent a lot of time reviewing resources on data visualization. You have had an opportunity to create a data visualization using a simple data set. You have also had an opportunity to discuss data analytics as it relates to data visualizations and address concerns and challenges you foresee for the final project. Now it is time to start thinking about what you want to do for your final project. Throughout each week, you will spend some time reflecting on your work creating your data  visualizations for your final project by writing a journal in a Word  document.

    In this week’s journal,

  • Identify a health topic or subject you are passionate about.
  • Identify a potential data set you would like to use for your final project as it relates to the topic or subject you selected.

    You can explore data sets by visiting the webpages listed in the final project.

    Answer the following questions:

    What story do you want to communicate in your final project? Why?

    Who is your audience?

    In  Week 2, you will submit an official proposal for your final project.  This journal is intended to help you get started on that proposal.

    Links to an external site.

    Parts 1 and 2 (pp. 2-22)

  • Visualization for Quality Healthcare: Patient Flow Exploration
  • Links to an external site.

    A Detailed Study on Temporal Data Visualization Techniques in Electronic Health Records

    Links to an external site.

    What Is Data Visualization

    Links to an external site.

    History of Data Visualization

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    Visual Perception

    Links to an external site.

    Building Blocks of Data Visualization

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    Compare and Contrast

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    Data Quality

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