Dashboard Design
eBook - ePub

Dashboard Design

  1. 290 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Dashboard Design

About this book

Interactive visualization and visual analytics tools have been designed and developed in the past and will be developed in the future as well. In each application domain in which data is measured, generated, and recorded we see a potential candidate for an interactive visualization tool with the goal to find insights and knowledge in the data. This knowledge can be found either visually by humans' interventions or algorithmically by the machine, in the best case by applying both concepts in combination as in visual analytics. One of the easiest ways to get an interactive visualization tool running is by means of dashboards, typically implemented as webpages that can run in a web browser and are accessible online, creating some kind of web-based solution.

This book describes ways to design and implement dashboards based on the programming language Python, the graphics library Plotly, and Dash. The readers can use the provided dashboard codes as a starting point and extend the functionality and features on their desire.

Technical topics discussed in the book include:

  • Design in visualization
  • Interaction principles in information visualization
  • User interface design
  • Linking Python, Dash, and Plotly
  • Coding in Python
  • Dashboard examples with Python code.

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Yes, you can access Dashboard Design by Michael Burch,Marco Schmid in PDF and/or ePUB format, as well as other popular books in Computer Science & UI/UX Design. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. List of Figures
  9. List of Tables
  10. List of Abbreviations/Acronyms
  11. 1. Introduction
  12. 2. Creating Powerful Dashboards
  13. 3. Python, Dash, Plotly, and More
  14. 4. Coding in Python
  15. 5. Dashboard Examples
  16. 6. Challenges and Limitations
  17. 7. Conclusion
  18. References
  19. Index
  20. About the Authors