ABSTRACT
Numbers and graphs are two essential modes of scientific communication, complementing, evidencing, and underscoring information communicated through text. This chapter first provides a brief historical overview of data visualization with a focus on their core functions, interaction, and mutual replaceability. Based on this overview, we derive key principles of successful scientific communication which uses statistical and visual presentation of data. Finally, examples of useful statistical and visualization techniques will be offered, including the description and visualization of central tendencies in the data (mean, median, mode), distributions (standard deviation, interquartile range), and more complex inferential statistical models (correlation, regression). Visualization techniques such as histograms, boxplots, and geomapping will also be discussed.
