Data Vis 2018.01: Examples, Histories, Tools.

Announcements While you’re waiting for class to begin, please take a look at the links as food for thought. Example Vis: Transit Visualization Client, Conversation Concept Map, MIT ML Pantheon Example Data Source: Socioeconomic Data and Applications Center (SEDAC), NYC Open Data Example application of data visualization: The Next America, The Search for High Energy Cosmic Rays, ProPublica Data Example […]

continue reading Data Vis 2018.01: Examples, Histories, Tools.

Data Vis Syllabus 2018

Data Visualization For The Community [Formerly Data Visualization from 2D to 4D] DM-GY 9103-C, Fall 2018 Prof. Arlene Ducao, arlduc [at] nyu.edu Thursdays, 3:30-6:20 PM 2 Metrotech, Room 820 Overview What is data visualization? Why and how do we do it? Who do we do it for? This course will take you through the process […]

continue reading Data Vis Syllabus 2018

NYU Data Vis Session 12: Visit to Viacom

Agenda: Viacom Agenda here. Address: 1515 Broadway, NYC Be prepared to present 3 minutes per person, in this order. 5:20: Grafiti group (Hasan Ansari, Brian (Chi-Hin) Hui, Akash Kumar, Harsh Trivedi) + 2 feedback/questions 5:39: Alex Lotsos 5:42: Garima Negi + 1 feedback/question 5:46: Meshal Alhathal + 1 feedback/question 5:51: Lindsay Abrams AP groups 5:54: Mona (Hayeon) Kim,  Will (Yi-Wei) Hsu 6:00: […]

continue reading NYU Data Vis Session 12: Visit to Viacom

NYU Data Vis Session 11: Final Project Studio Time

Announcements Now up: Good Vis, Bad Vis (from last session) Havas Fellowship: Prototyping the Augmented Island—$5,000 opportunity for NYC graduate students. A+E Networks Mobile AR Prototyping Fellowship—$5,000 opportunity for NYC graduate students Course evaluations are now available. Please be sure to complete your evaluation by December 14. Next Week: Viacom. Agenda here. Address: 1515 Broadway, […]

continue reading NYU Data Vis Session 11: Final Project Studio Time

ClassSourced: Good Vis Bad Vis

GOOD VIS Easy to understand Clean Interactivity Appropriate use of color/shape/intensity Clarity with simple coherent view Fulfills business requirement Real-time depiction of events Titles, Annotations, short description BAD VIS Incorrect information Lack of uniformity Wrong scale Lack of context Unfit for the “business” (audience) requirement They’re trying to do too much in terms of design […]

continue reading ClassSourced: Good Vis Bad Vis