31:T4d3,md`In your own words, describe each level of visualization design presented in the paper. 1. Domain Problem and Data Characterization: - learning about a certain audience's tasks and data in a certain field - existing termininology and workflow used to describe data and how it is used - needs accurate interpretations of information instead of assumptions made by researchers/designers - output: set of q's about actions carried out by audience to properly collect data 2. Operation and Data Type Abstraction: - transition from domain-specific terminology to overall realm of computer science - output: description of operations, data types - operations => generic descriptions of tasks instead of domain-specific ones - raw data => data types that data vis can use - hardest to get right - skip 1st level - first abstraction is correct one - jump to third level becauseit is only worthwhile thing 3. Visual Encoding and Interaction Design - sorta self-explanatory - mutually interdependent 4. Algorithm Design - creation of algorithm to carry out encoding and interaction - issues of design are not only present in visualization, but in many (if not all) parts of computer science `32:T9e0,md`## Visualization Analysis For **two visualizations**, you are going to use the Nested Model of visualization design to describe what _you believe_ to be the intention of the work. For each one, you should first _display the visualization_ (either by importing it from a Notebook, or putting an \`\` or \`