Different approaches, methods and tools in visualizing data (2 ects)

The course is particularly important for the PhD students and researchers in humanities field who are interested in visualizing data in a clear, sensible and reproducible way. The course not just focuses on the aesthetics aspects of good data visualizations but, on how their effectiveness is rooted in human perception. At the end of the course, participants will develop a coherent understanding on ways to create visualizations by expressing relationships between the attributes of data and their graphical representation. 

It is believed that analysis in social sciences must be multidimensional and combine various sources of information. Thus, it has become a common practice to collect large massifs of complex data in humanities research. However, this poses several challenges: how to report and illustrate findings from complex data? How to create good data visualizations to make it easier to communicate ideas and findings to other people?

At the University of Oulu, LeaForum provides excellent facilities to collect high-quality and complex data for research. In order to make the most of its potential, it is necessary to help researchers with collecting, analyzing data and reporting their findings. Understanding different possibilities and limitations in visualizing data is essential for selecting the most suitable methods and tools for one’s research.

The course introduces different approaches, methods and tools in visualizing data. Participants’ skills in data visualization are improved with the help of data workshops and hands-on practices. The themes of the course are 1) Getting familiar with basic principles of effective data visualization 2) Creating a range of plots in open-source R software. 3) Refining plots for effective presentation

Maximum number of participants: 30
Course dates: 5,6, 7th of June, 2018
Course language: English

Tentative Program:
DAY 1: Getting familiar with R software, understanding the R grammar, introduction to ggplots2 library in R. Hands-on practices.
DAY 2: Constructing and customizing plots with gglplots2. Aesthetics and geometries of data visualization in ggplots2. Hands-on practices.
DAY 3: Graphical data analysis and special kinds of graphs: heat maps, network graphs, dendrograms and others. Hands-on practices.

The course teacher Dr. Giuseppe Leonardi obtained his MA degree in Psychology from the University of Padua in 1991 and then completed his PhD in Experimental Psychology at the University of Trieste, in Italy, in 1997. As a doctoral student, he studied for two years (1994-1996) at the Center for Complex Systems, Florida Atlantic University, USA.

During these studies he came to master the theoretical basis of Cognitive and Psychological Sciences, and got interested on a dynamical approach to the study of perception-action relations in behavior and linguistic interactions. The interest in a dynamical view of cognitive processes brought him to study in depth the methodological challenges this new approach requires, and together with a good competence in standard statistical methods and statistical programming (R, MATLAB, SPSS, and others). He went on to master some of the most important methods in complexity sciences and specifically Recurrence Quantification Analysis (RQA).

From 2011, when he returned to his scientific interests and activity after working for several years in the private sector as an applied data analyst, he especially concentrated on RQA and its applications to human language and conversation. The products of these efforts are several works dealing with the topic of language development in infants and human interaction.

Persons in charge of the course: Dr. Muhterem Dindar & Dr. Jonna Malmberg, LET. e-mail: firstname.lastname@oulu.fi
Register to the course by filling the REGISTRATION FORM.

Last updated: 23.3.2018