Bibliografia
Principal
- Tamara Munzner
(2014)
Visualization analysis & design.
ISBN: 978-1-4665-0891-0
- Yau, N.
(2013)
Data Points: Visualization That Means Something.
Wiley.
- Cairo, A.
(2016)
The Truthful Art: Data, Charts, and Maps for Communication.
New Riders.
- Tufte, E. R.
(2001)
The Visual Display of Quantitative Information.
Graphics Press.
- Few, S.
(2012)
Show Me the Numbers: Designing Tables and Graphs to Enlighten.
Analytics Press.
- Sam Lau, Joseph Gonzalez et al.
(2023)
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
978-1-098-11300-1
- McKinney, W.
(2022)
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter.
O'Reilly Media.
- Healy, K.
(2018)
Data Visualization: A Practical Introduction.
Princeton University Press
Secundária
Não foi definida bibliografia secundária