Relatore:
Christophe Bontemps
- Toulouse School of Economics
mercoledì 23 ottobre 2019
alle ore
8.00
Sala 1
Data visualization is an important ingredient of any empirical science as it “forces us to notice what we never expected to see” in a given dataset. The course, through examples and case studies, shows that graphical methods can be powerful tools for revealing not only the structure of the data, but also patterns and (ir)regularities, groups, trends, outliers, etc.
- Referente
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Angelo
Zago
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Referente esterno
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- Data pubblicazione
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21 ottobre 2019
pdf (it, 1631 KB, 21/10/19)
