Definition and importance of Visualization. Abstraction of data types, visual tags and tasks. Exploratory data analysis. Visual coding and design. Interaction techniques: selection, navigation, filtering, aggregation. Narratives (Data Storytelling). Implementation using D3.js. Animation. Tabular data visualization. Visualization of cartographic data. Temporal data visualization. Visualization of networks and trees. Human perception (pre-attentive processing, Gestalt laws, multiple visual encodings, etc.). Colors (color schemes/spaces, visual impairments, color scales vs. data type, etc.). Visual scalability. Visualization of uncertainties. Coordinated visions. Focus and context. Evaluation of visualization strategies.
Basic Information
Mandatory:
- MURRAY, S. Interactive Data Visualization for the Web, 2 ed. O'Reilly Media, 2017.
- MUNZNER, T. Visualization analysis & design. Boca Raton, Fla. : CRC Press, 2015.
- WARE, C. Information visualization: perception for design. 3 ed. Waltham, Mass.: Morgan Kaufmann, 2013.
- HEER, J.; MORITZ, D.; VANDERPLAS J.; CRAFT, B. Vega-Lite Visualization Notebook Curriculum. 2019. Disponível gratuitamente em: https://observablehq.com/@uwdata/data-visualization-curriculum. Data de acesso: 07/07/2021
Complementary:
- WARD, M.; GRISTEIN, G. KEIM. D. Interactive data visualization : foundations, techniques, and applications. Natick, Mass. : A K Peters, 2010.
- MILANI, A. M. P.; et al. Visualização de dados. Porto Alegre: SAGAH, 2020.
- ZHU, N. Q. Data visualization with D3.js cookbook. Birmingham, Inglaterra : Packt Pub., 2013.
- KIRK, A. Data visualisation: a handbook for data driven design. Los Angeles, Calif.: Sage, 2016.
- BÖRNER, K; POLLEY, D. E. Visual Insights: a practical guide to making sense of data. Cambridge, Mass.: MIT Press, 2014.