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.
D.3 Basic R colors Data Science for Psychologists
R Colors and a Color Theory Primer, by Data Scientist Dude
Fundamentally different representations of color and motion revealed by individual differences in perceptual scaling
Color Psychology: How Color Affects Your Emotions And Why
How to Choose Colors for Your Data Visualizations, by Michael Yi, Nightingale
D.3 Basic R colors Data Science for Psychologists
D.2 Essentials of color Data Science for Psychologists
Descriptive Statistics: Definition, Overview, Types, Example
Advanced Color Theory - The Guide you Need - Growth Hackers
How To Use Color Psychology In Data Visualization