D.3 Basic R colors Data Science for Psychologists

This book provides an introduction to data science that is tailored to the needs of students in psychology, but is also suitable for students of the humanities and other biological or social sciences. This audience typically has some knowledge of statistics, but rarely an idea how data is prepared for statistical testing. By using various data types and working with many examples, we teach strategies and tools for reshaping, summarizing, and visualizing data. By keeping our eyes open for the perils of misleading representations, the book fosters fundamental skills of data literacy and cultivates reproducible research practices that enable and precede any practical use of statistics.

Visualizing Science: How Color Determines What We See - Eos

The Power of Color, by Elena V Kazakova

Color Psychology: How Color Affects Your Emotions And Why

The Psychology behind Data Visualization Techniques, by Elena V Kazakova

Stroop effect - Wikipedia

Frontiers A test of the ecological valence theory of color preference, the case of Arabic

Psychology CUNY Graduate Center

Positive Correlation: Definition, Measurement, Examples

How to Choose Colors for Your Data Visualizations, by Michael Yi, Nightingale

How to Pick Colors to Captivate Readers and Communicate Effectively - Venngage

7 Best Practices for Data Visualization - The New Stack