Bibliografia
Principal
- Lewrick, M., Link, P., Leifer, L. (2018)The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems, ISBN-10: 1119467470, Wile: -- -- --
- Ketonen-Oksi, S., Vigren, M. (2024). Methods to imagine transformative futures. An integrative literature review., Futures, https://doi.org/10.1016/j.futures.2024.103341.: -- -- --
- Lima, M. (2017) The Book of Circles: Visualizing Spheres of Knowledge. Princeton Architectural Press. New York.: -- -- --
- Evergreen, S. (2016). Effective Data Visualization: The Right Chart for the Right Data. SAGE Publications Ltd.: -- -- --
- Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten, Analytics Press.: -- -- --
- Wickham, H. (2015). ggplot2: Elegant Graphics for Data Analysis, Springer, https://ggplot2-book.org/: -- -- --
- Learning by Developing LbD, https://www.laurea.fi/en/laurea/laurea-as-a-university/learning-by-developing-lbd/: -- -- --
Secundária
- Ware, C. (2012). Information Visualization: Perception for Design (3rd ed.), Morgan Kaufmann: -- -- --
- Shneiderman, B. (1996). The eyes have it: a task by data type taxonomy for information visualizations. In Proceedings of the 1996 IEEE Symposium on Visual Languages (pp. 336-343).: -- -- --
- I. Foster, R. Ghani, R. S. Jarmin, F. Kreuter, J. Lane. (2016). Big Data and Social Science: A Practical Guide to Methods and Tools, 1st Edition. CRC Press.: -- -- --
- P. Tattar, T. Ojeda, S. P. Murphy B. Bengfort, A. Dasgupta. (2017). Practical Data Science Cookbook, Second Edition. Packt Publishing.: -- -- --
- P. Mathur. (2018). Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance. Apress.: -- -- --
- Cleveland, W.S. (1987b). Research in statistical graphics, Journal of the American Statistical Association, 82, 419-423.: -- -- --
- Provost. (2013). Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O'Reilly.: -- -- --
- O’Reilly. M. N. Jones, (2016). Big Data in Cognitive Science (Frontiers of Cognitive Psychology), Taylor & Francis. F.: -- -- --
- Chapman & Hall. T. W. Miller. (2015). Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python: -- -- --