Nowadays, data visualization is much more than just listing numbers in a table. Infographics and interactive charts perhaps best describe the need for the modern presentation of results. Such visualization is meant to make findings intuitively intelligible and easily understandable at a glance, even to the non-expert. At the same time, it should give the resources to interactively dig deeper into the details for those interested or those evaluating the merits. Let the science-based graphic design kick in the artist in you!
Table of contents
1. Introduction to Scientific Graphic Design
- 1.1 Raster Graphics Tools
- 1.2 Vector Graphics Tools
- 1.3 Adobe Creative Cloud
- 1.4 Template-based Web Tools
2. Introduction to Scientific Graphing
- 2.1 Gnuplot – Creating Plots in the UNIX Shell
- 2.2 Plotly-Dash – Data Processing & Interactive Plotting with Python
- 2.3 RStudio – Data Processing & Plotting with R