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.

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

8 Ways to Use Color Psychology in Marketing (With Examples)

The Psychology behind Data Visualization Techniques, by Elena V Kazakova

The Psychology behind Data Visualization Techniques, by Elena V Kazakova

D.2 Essentials of color Data Science for Psychologists

Color Theory - Understanding the 7 fundamentals of color

Stroop effect - Wikipedia

Color wheel - Wikipedia

Scientific method - Wikipedia

Why Links Between Colors and Emotions May Be Universal