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Visualize your data with simplicity, accuracy and beauty
Author(s) -
Kate Bredbenner
Publication year - 2021
Publication title -
the biochemist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.126
H-Index - 7
eISSN - 1740-1194
pISSN - 0954-982X
DOI - 10.1042/bio_2021_170
Subject(s) - infographic , simplicity , computer science , visualization , beauty , point (geometry) , data visualization , simple (philosophy) , representation (politics) , data science , human–computer interaction , artificial intelligence , aesthetics , data mining , art , epistemology , philosophy , geometry , mathematics , politics , political science , law
Creating a compelling visual representation of your data can be challenging, but it is worth it. Infographics and graphical abstracts are common forms of data visualizations within the world of science, but no matter what you call them, these visuals are short stories meant to be shared widely. When done well, a visualization of your data can attract new readers and quickly tell them the main point of your research. Your visual can get more people to read your paper and engage with you about your research. In this article, we’ll talk through the steps of making a simple, accurate and beautiful visual that is sure to catch the eyes of readers everywhere.

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