Scientific Visualisations using R
| 2024_HS_RSciVis | |
| 29.11.2024 - 13.12.2024 | |
| 2 days | |
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Start registration period: 03.06.2024 End of registration period: 08.11.2024 |
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| ETH Zurich, centre | |
| 3 | |
| 16 | |
| Students enrolled in PSC PhD Programs: CHF 0 LSZGS PhD students: CHF 0 All others: CHF 300 | |
| ETHZ, tba | |
| Visualisations can decide about the success of scientific lectures, poster presentations or journal articles. In this course you will get a very brief introduction into general design principles and guidelines for data visualisations. Based on this theoretical framework we will spend most of the course time to learn how to use R as a powerful graphical software to create a wide range of customised graphics that include - but are not limited to - traditional scatter plots, bar plots, mosaic plots, box plots, density plots, violin plots, and interactive graphics as well as grid-based geographic maps and state-of-the-art multipanel conditioning plots (and many more). You will learn about the two pillars of the R graphics systems, i.e. Traditional and Grid graphics. The course focuses on the latter system and more recent developments such as ggplot2 and other advanced libraries based on the “The grammar of graphics”-concept. Depending on the course progress, there will be scope for students to work on small projects and / or their own data sets. | |
| Dr. Jan Wunder | |
| 1 | |
| Open for PhD students. Priority will be given to PhD students of the PhD programs in Plant Sciences and Science & Policy. Postdocs if places available. | |
| Basic knowledge of R / attendance of the course “Introduction to R” | |
| English | |
| Attendance and active participation during the course days (14 hours). In order to obtain the credit points, participants are required to hand in an assignment to be carried out at home (preparation work of 14 hours). The details will be explained during the course. The assignment is due no later than one week after the course has ended. | |
By registering you agree to the PSC course terms and conditions AGBs | |
| Cancellation of a course registration should be arranged with the course coordination office psc_phdprogram@ethz.ch and is possible free of charge up to 2 weeks before the course starts. Later cancellations and failure to attend or incomplete attendance without documented justification will incur a fee of 200 CHF. | |
| Students are required to bring their own computers. | |
| Dr. Bojan Gujas (psc_phdprogram@ethz.ch) | |
| BG_HS24_SciVisR.pdfvertical_align_bottom |