Poem Viewer is the result of the International Digging into Data Challenge carried out by a team comprising computer scientists, a linguist from the University of Oxford, and poets and academics from the University of Utah. In this talk, we will demonstrate how we sketched out initial results using visualization techniques, and how we carried out the evaluation process at the different stages of the application development. Poem Viewer has provides scholars with a tool to examine 26 different poetic attributes with the ability to make “moment-by-moment choices” as they explore the visualizations. Using a scientific jargon, scholars can now perform “multivariate data analysis” during close reading.