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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 beginners in
  R\, for instance those who have attended any of the SIB courses on [First
  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 con
 nection\, and the following software installed BEFORE the course: R and R 
 Studio. A list of packages will be provided in due time. \n# Application\n
 Registration fees are **120 CHF** for academics and **600 CHF** for for-pr
 ofit companies. While participants are registered on a first come\, first 
 served basis\, exceptions may be made to ensure diversity and equity\, whi
 ch may increase the time before your registration is confirmed.\n\nYou wil
 l be informed by email of your registration confirmation. Upon reception o
 f the confirmation email\, participants will be asked to confirm attendanc
 e by paying the fees within 5 days.\n\nApplications close on *02/03/2023* 
 or as soon as the course is full. Deadline for free-of-charge cancellation
  is set to *09/03/2023*. Cancellation after this date will not be reimburs
 ed. Please note that participation to SIB courses is subject to our [gener
 al conditions](http://www.sib.swiss/training/terms-and-conditions).\n\n# V
 enue and Time\nThe course will take place at the University of Lausanne (M
 etro M1 line\, Sorge station). \n\nThe course will start at 9:00 and end a
 round 17:00. \n\nMore information will be provided to the registered parti
 cipants in due time. \n\n#  Additional information\nCoordination: Patricia
  Palagi\n\nWe will recommend 0.5 ECTS credits for this course (given a pas
 sed 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 workshop
 s\, as well as all important deadlines using the form [here](https://lists
 .sib.swiss/mailman/listinfo/courses).\n\nPlease note that participation in
  SIB courses is subject to our [general conditions](http://www.sib.swiss/t
 raining/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduc
 t](https://elixir-europe.org/events/code-of-conduct). Participants of SIB 
 courses are also required to abide by the same code.\n\nFor more informati
 on\, please contact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20230323_DATVS
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