Great things are done by a chain of small things brought together.
– Vincent Van Gogh
Helping people find meaning in large, complex datasets is becoming an increasingly important consideration in UX design. While the desire is also clear, the stairs of reworking unprocessed data into effective visualizations aren’t always so apparent. Data are of varied distinctive types, and different data types lend themselves more naturally to certain forms of visual representation than to others. In addition, some visualization designs are more practical than others in summarizing and highlighting various characteristics of knowledge. How do you assess and assemble all the disparate elements within the most informative way? No less than for me, the more familiar I become with different data types and their related depictions, the more confident I THINK in applying and exploring visualization design ideas.