DataQuest July (2025) (Dr. Martins Zaumanis)

[FaridKhan]

Dr. Martins Zaumanis 2021

Poor data charts and graphics are hindering the effective transfer of knowledge in academia. To get your research noticed and respected, this step-by-step guide will demonstrate essential techniques for creating informative scientific visualizations . By reading this book, you will learn:
✓ Eight bulletproof progressions for turning research data into convincing charts
✓ Eleven graphical features for converting scientific concepts into self-explanatory diagrams and scientific illustrations
✓ Straightforward visualization principles that help to interpret research results
The straightforward approaches presented in this book are designed with efficiency in mind. By reviewing a variety of good and bad examples, you will learn how to include scientific visualization in your research communication routine. No artistic talent required.
Clear data charts and informative graphics draw citations to papers, make presentations memorable, and encourage reviewers to approve research proposals . This book will show you how to make it happen.

What's included:
1) Web resources , including a comparison of different software and online tools for data visualization and scientific illustrations
2) Two printable cheat sheets that summarize the advice from the book
3) A book full of actionable advice for efficiently creating convincing data charts and illuminating scientific graphics

About the author
My name is Martins Zaumanis and I am obsessed with finding ways to communicate science visually. For example, during the last half a year of my Ph.D., I spent almost every evening hand-drawing my research just so that I could present a memorable TEDx talk. But I don't expect you to become obsessed. Quite the opposite: I developed an approach that will allow you to create great data charts and scientific illustrations without taking away time from what you love most - research

Contents of Download:
DataQuest July 2025.pdf (Dr. Martins Zaumanis) (2021) (64.44 MB)

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️ DataQuest July (2025) (64.44 MB)

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