Institution: see Organisers & Supporters

Programme of study: International Research Workshop

Lecturer: Daniel Schnitzlein (Leibniz University Hannover & Inside Statistics)

Date: see Workshop Programme

Max. number of participants: 20

Credit Points: 5 CP for participating in the whole IRWS

Language of instruction: English

Contents: Results of scientific research are often (and increasingly) complex and hard to understand for a non-scientific audience. However, at the same time, the transfer of results from academic research to an outside-academia recipient, for example, politics, private foundations or private firms providing research funding, but also the interested public, gets more and more important. Probably the most important skill in this context is the ability to create good visualization of your main (quantitative data-based) results.

Today, data are everyday companions in almost all scientific and professional fields. The graphical representation of data is both an elementary step in the analysis process and an important component in communicating the results. The course Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise representations with the help of many practice-oriented examples. The course consists of 50% lecture and 50% hands-on session.

Requirement of students: Basic knowledge of empirical (quantitative) social and economic research is beneficial, but not strictly necessary. The methods trained in this course are applicable to all visualization tasks independent of the applied software package. Visualization examples will be based mainly on R. Code examples will be provided within the lecture. A selection of examples will also be available in Excel and Python.

You have to register for the International Research Workshop to participate in this course.