Fail = Below 70 Visualization Assessment Rubric Minimal Development Moderate Substantial Category Scant Development (1) (2) Development (3) Development (4) Data comes from multiple highly Data from some reputable reputable sources; Data Data is not attributed or even Data source unclear or sources are integrated, is supplemented with Evidence present; No external source of originates from spurious even if there are some references to relevant information identified places lapses in explaining the scholarship; context of the source Methodology behind how the data was collected is explained Insightful prose that Only fragmentary Generally good writing integrates argument, Little or no to explain the sentences or bullet points associated with evidence, scholarship, Context rationale of the visualization to help provide context for visualization that helps the and ideas to the visualization viewer interpret it compliment visualization Some lapses in Data is impeccable in No manipulation of data is Data has been structured manipulation of data, its structure; Column Data evident; Visualization is with an eye for make the visualization headings are and Cleanliness indecipherable because of functionality with appear to be cumbersome identifiable, multiple unstructured data visualization platform or unclear datasets are organized Meticulous care given to colors, design, user No apparent attention given Some questionable or experience, and to choice of of color Acceptable visual confusing choices presentation of Aesthetic coordination, user presentation, but with regarding color, visualization on the Design experience, or some lapses in clarity and visualization type, or blog; The kind of appropriateness of design layout visualization is visualization type appropriate given the data being presented Visualization illuminates changes in Almost no clear argument or time; Makes a clear commentary present; An issue of importance is argument; Puts Intellectual visualization is a facile identified but not clearly An issue of importance is disparate things in Presentation representation of data or fleshed out developed to evident in the visualization relationship to one statistics derived from the full extent another; Underscores another source a social pattern; Develops a clear sense of why the data matter Course Policies Attendance: 4119 Introduction to Data Visualization demands interaction, discussion, and constructive criticism, all of which are compromised when you are not in the classroom. Because this class meets four times throughout the semester, you are expected to attend every session and arrive on
Fail = Below 70 Visualization Assessment Rubric Category Scant Development (1) Minimal Development (2) Moderate Development (3) Substantial Development (4) Evidence Data is not attributed or even present; No external source of information identified Data source unclear or originates from spurious places Data from some reputable sources are integrated, even if there are some lapses in explaining the context of the source Data comes from multiple highly reputable sources; Data is supplemented with references to relevant scholarship; Methodology behind how the data was collected is explained Context Little or no to explain the rationale of the visualization Only fragmentary sentences or bullet points to help provide context for the visualization Generally good writing associated with visualization that helps the viewer interpret it Insightful prose that integrates argument, evidence, scholarship, and ideas to compliment visualization Data Cleanliness No manipulation of data is evident; Visualization is indecipherable because of unstructured data Some lapses in manipulation of data, make the visualization appear to be cumbersome or unclear Data has been structured with an eye for functionality with visualization platform Data is impeccable in its structure; Column headings are and identifiable, multiple datasets are organized Aesthetic Design No apparent attention given to choice of of color coordination, user experience, or appropriateness of visualization type Some questionable or confusing choices regarding color, visualization type, or layout Acceptable visual presentation, but with some lapses in clarity and design Meticulous care given to colors, design, user experience, and presentation of visualization on the blog; The kind of visualization is appropriate given the data being presented Intellectual Presentation Almost no clear argument or commentary present; visualization is a facile representation of data or statistics derived from another source An issue of importance is identified but not clearly fleshed out developed to the full extent An issue of importance is evident in the visualization Visualization illuminates changes in time; Makes a clear argument; Puts disparate things in relationship to one another; Underscores a social pattern; Develops a clear sense of why the data matter Course Policies Attendance: 4119 Introduction to Data Visualization demands interaction, discussion, and constructive criticism, all of which are compromised when you are not in the classroom. Because this class meets four times throughout the semester, you are expected to attend every session and arrive on
PADM-GP.4119.001.docx