Data Visualization - Einzelansicht

Moodle

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 aca-demic research to an outside-academia recipient, for example, politics, private founda-tions, 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 cre-ate good visualization of (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 Principles of Data Visualization trains this ability and leads you away from the standard diagrams of common office/statistics packages to clear and concise data representations with the help of many practice-oriented examples. The course consists of 50% lectures and 50% hands-on ses-sions. The methods trained in this course are applicable to all visualization tasks inde-pendent of the applied software package. The exercises in the hands-on sessions are car-ried out in the statistical programming language R. The course assumes no prior knowledge of R, but also consists of an introduction to R. 

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