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DTSTART:20231102T000000Z
DTEND:20231103T000000Z
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\nCreating such graphs is not a trivial
  task though and choosing the right representation depends on many factors
 : among the most important the data itself\, the message that the research
 er wants to get across\, and the way in which the data is presented (a fig
 ure in an article is completely different from a figure in slides). \n\nDu
 ring 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 which tools to avoid !)\
 , how to design graphs for specific media\, good practices for plotting da
 ta\, and common mistakes to avoid. \n\nThis course will also include pract
 icals using the R statistical software\; during these practicals\, we will
  discuss and introduce the different models for creating graphics in R (in
 cluding base R and ggplot2). \n# Audience\nThis course is addressed to sci
 entists who need to produce data visualisation and who have already used t
 he R software before. \n# Learning outcomes\nAt the end of the course\, th
 e 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 represent a dataset graphically \n\n* use the R softwa
 re (base R and ggplot2) to produce data visualisations \n\n# Prerequisites
 \n### ***Knowledge / competencies***\nThis course is designed for beginner
 s in R\, for instance those who have attended any of the SIB courses on [F
 irst Steps in R](https://www.sib.swiss/training/course/20221010_FSWIR). \n
 \n\n### ***Technical***\nYou are required to bring your own laptop with a 
 wifi connection\, and the following software installed BEFORE the course: 
 R and R Studio. A list of packages will be provided in due time. \n# Appli
 cation\nRegistration fees are **200 CHF** for academics and **1000 CHF** f
 or for-profit companies. While participants are registered on a first come
 \, first served basis\, exceptions may be made to ensure diversity and equ
 ity\, which may increase the time before your registration is confirmed.\n
 \nYou will be informed by email of your registration confirmation. Upon re
 ception of the confirmation email\, participants will be asked to confirm 
 attendance by paying the fees within 5 days.\n\nApplications close as soon
  as the course is full. Deadline for free-of-charge cancellation is set to
  *19/10/2023*. Cancellation after this date will not be reimbursed. Please
  note that participation to SIB courses is subject to our [general conditi
 ons](http://www.sib.swiss/training/terms-and-conditions).\n\n# Venue and T
 ime\nThe course will take place in Zurich.\n\nThe course will start at 9:0
 0 and end around 17:00. \n\nMore information will be provided to the regis
 tered participants in due time. \n\n#  Additional information\nCoordinatio
 n: Valeria Di Cola\, SIB Training.\n\nWe will recommend 0.5 ECTS credits f
 or this course (given a passed exam at the end of the course).\n\nYou are 
 welcome to register to the SIB courses mailing list to be informed of all 
 future courses and workshops\, as well as all important deadlines using th
 e form [here](https://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease
  note that participation in SIB courses is subject to our [general conditi
 ons](http://www.sib.swiss/training/terms-and-conditions).\n\nSIB abides by
  the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-con
 duct). Participants of SIB courses are also required to abide by the same 
 code.\n\nFor more information\, please contact [training@sib.swiss](mailto
 ://training@sib.swiss).
SUMMARY:Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20231102_DATVS
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