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.
A Total Guide to Accessible Colors [Including Palettes & Templates]
The Power of Color, by Elena V Kazakova
Author multidisciplinarity and disciplinary roles in field of study networks, Applied Network Science
A detailed guide to colors in data vis style guides - Datawrapper Blog
How to Use Color Blind Friendly Palettes to Make Your Charts Accessible - Venngage
How to Analyze Data: 6 Useful Ways To Use Color In Graphs
How to pick more beautiful colors for your data visualizations - Datawrapper Blog
Frontiers Effects of colored lights on an individual's affective impressions in the observation process
Red background color biases gender categorization of human faces
RGB color spaces - Wikipedia