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.

Descriptive Statistics: Definition, Overview, Types, Example

How To Use Color Psychology In Data Visualization

The Republic of Color: Science, Perception, and the Making of Modern America, Rossi

What is Color Theory?

The Color Blue: Meaning and Color Psychology

Color Models, Overview & Types - Lesson

Color Theory 101: A Complete Guide to Color Wheels & Color Schemes

The Psychology behind Data Visualization Techniques, by Elena V Kazakova

Coloring Rules for Data Scientists, by Ambar Kleinbort

D.3 Basic R colors Data Science for Psychologists

R Colors and a Color Theory Primer, by Data Scientist Dude

Frontiers Effects of colored lights on an individual's affective impressions in the observation process

Working with Color Data: An Introduction to Colorspaces

D.3 Basic R colors Data Science for Psychologists

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