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DTSTAMP:20260617T041710Z
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DTSTART:20251215T090000Z
DTEND:20251216T170000Z
DESCRIPTION:# Overview\nScientific results are mostly conveyed through grap
 hics and tables\, and representing data graphically in a clear way is an i
 mportant task for any scientist.  \n\nHowever\, creating graphs is far fro
 m a straightforward task\, and selecting an appropriate visualization can 
 prove to be quite intricate. The process of designing an effective graph h
 inges on numerous factors\, including but not limited to the nature of the
  data\, the researcher's intended message\, the intended context for the g
 raph (such as whether it will appear in a scholarly article or presentatio
 n slides)\, the target audience\, and various other elements that need to 
 be considered. \n\nDuring this course\, we will present different ways for
  representing data\, how to choose among them\, why you should avoid using
  error bars\, how to design efficient graphs\, which tools to use (and whi
 ch tools to avoid !)\, how to design graphs for specific media\, good prac
 tices for plotting data\, common mistakes to avoid\, and advanced techniqu
 es for showing complex data during presentations. Along the way\, we will 
 consider many examples\, both good and bad\, including those proposed by t
 he participants. \n\nThis course will also include practicals using the R 
 statistical software\; in particular\, we will discuss and introduce the d
 ifferent models for creating graphics in R (including base R and ggplot2).
   \n# Audience\nThis course is addressed to scientists who need to produce
  data visualisation and who have already used the R software before. \n# L
 earning outcomes\nAt the end of the course\, the participants are expected
  to be able to: \n\n* apply data visualisation methods to represent their 
 data and get their message across \n\n* choose the right method to represe
 nt a dataset graphically \n\n* use the R software (base R and ggplot2) to 
 produce data visualisations \n\n# Prerequisites\n### ***Knowledge / compet
 encies***\nThis course is designed for scientists who know at least the ba
 sics of R programming\, for instance those who have attended any of the SI
 B courses on [First Steps in R](https://www.sib.swiss/training/course/2025
 1013_FSWR). Participants should be able to read and import data files\, as
  well as select subsets of data\, but do not need to know how to create pl
 ots in R.\n\n\n### ***Technical***\nYou are required to bring your own lap
 top with a wifi connection\, and the following software installed BEFORE t
 he course: R and R Studio. A list of packages will be provided in due time
 . \n# Application\nRegistration fees are **200 CHF** for academics and **1
 000 CHF** for for-profit companies.\n\nWhile participants are registered o
 n a first come\, first served basis\, exceptions may be made to ensure div
 ersity and equity\, which may increase the time before your registration i
 s confirmed.\n\nApplications close as soon as the places will be filled up
 \, until **03/12/2025**. Deadline for free-of-charge cancellation is set t
 o **30/11/2025**. Cancellation after this date will not be reimbursed.\n\n
 You will be informed by email of your registration confirmation. Upon rece
 ption of the confirmation email\, participants will be asked to confirm at
 tendance by paying the fees within 5 days.\n\n\n\n# Venue and Time\nThe co
 urse will take place in Zurih\, at the ETH Hönggerberg campus.\n\nThe cou
 rse will start at 9:00 and end around 17:00. \n\nMore information will be 
 provided to the registered participants in due time. \n\n#  Additional inf
 ormation\n\nCoordination: Diana Marek\, SIB Training group\, in collaborat
 ion with the ETHZ Zurich [Chemistry | Biology | Pharmacy Information Cente
 r](https://chab.ethz.ch/en/the-department/services/infozentrum.html)\n\n\n
 \nWe will recommend 0.5 ECTS credits for this course (given a passed exam 
 at the end of the course).\n\nYou are welcome to register to the SIB cours
 es mailing list to be informed of all future courses and workshops\, as we
 ll as all important deadlines using the form [here](https://lists.sib.swis
 s/postorius/lists/courses.lists.sib.swiss/).\n\nPlease note that participa
 tion in SIB courses is subject to our [general conditions](https://www.sib
 .swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code o
 f Conduct](https://elixir-europe.org/events/code-of-conduct). Participants
  of SIB courses are also required to abide by the same code.\n\nFor more i
 nformation\, please contact [training@sib.swiss](mailto://training@sib.swi
 ss).
SUMMARY:Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20251215_DATVS
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