This paper explores visual information flows (VIFs) in infographics through the automatic analysis of a large dataset of infographics. The authors develop a method to extract visual elements from infographics and construct VIFs. They define a taxonomy of main VIF design patterns categorized by dimensions like backbone shape and content placement. The goal is to understand common infographics design patterns to support novice designers. The paper contributes an analysis method, VIF taxonomy, search system, and large annotated infographic dataset. However, the datasets and tools mentioned are now unavailable.