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DTSTAMP:20260715T224529Z
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DTSTART:20241209T090000Z
DTEND:20241210T170000Z
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/2023
 1019_FSWIR). Participants should be able to read and import data files\, a
 s well as select subsets of data\, but do not need to know how to create p
 lots in R. . \n\n\n### ***Technical***\nYou are required to bring your own
  laptop with a wifi connection\, and the following software installed BEFO
 RE the 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
  **1000 CHF** for for-profit companies. While participants are registered 
 on a first come\, first served basis\, exceptions may be made to ensure di
 versity and equity\, which may increase the time before your registration 
 is confirmed.\n\nYou will be informed by email of your registration confir
 mation. Upon reception of the confirmation email\, participants will be as
 ked to confirm attendance by paying the fees within 5 days.\n\nApplication
 s close as soon as the course is full. Deadline for free-of-charge cancell
 ation is set to *25/11/2024*. Cancellation after this date will not be rei
 mbursed. Please note that participation to SIB courses is subject to our [
 general conditions](https://www.sib.swiss/training/terms-and-conditions).\
 n\n# Venue and Time\nThe course will take place in Lausanne.\n\nThe course
  will start at 9:00 and end around 17:00. \n\nMore information will be pro
 vided to the registered participants in due time. \n\n#  Additional inform
 ation\nCoordination: Valeria Di Cola\, SIB Training.\n\nWe will recommend 
 0.5 ECTS credits for this course (given a passed exam at the end of the co
 urse).\n\nYou are welcome to register to the SIB courses mailing list to b
 e informed of all future courses and workshops\, as well as all important 
 deadlines using the form [here](https://lists.sib.swiss/mailman/listinfo/c
 ourses).\n\nPlease note that participation in SIB courses is subject to ou
 r [general conditions](https://www.sib.swiss/training/terms-and-conditions
 ).\n\nSIB abides by the [ELIXIR Code of 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 information\, please contact [trainin
 g@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Data Visualisation with R
URL;VALUE=URI:https://www.sib.swiss/training/course/20241209_DATVS
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