Large datasets are becoming increasingly common in science and elsewhere. Summarizing these data with effective, elegant figures often requires flexible ways to make graphics. Mainstream data analysis languages (Python, R, etc.) have powerful graphics packages, but were really not built for graphics and often have limitations that restrict how you can convey information. Processing is a java-like programming language that caters to creative image design and is capable of rendering 2D, 3D, and interactive graphics. This tutorial will introduce Processing’s capabilities with a few simple examples using genomic sequencing data.

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Meets in Second Floor Classroom, 212A.