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PRODID:www.eu-parc.eu
BEGIN:VEVENT
UID:69f3b1debc7e4
DTSTART;VALUE=DATE:20251215
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20251216
SUMMARY:Data Visualisation with R
CLASS:PUBLIC
DESCRIPTION:The SIB Data Visualisation with R course took place on 16-17 De
 cember 2025 in Zurich. It was designed to help scientists create clear\, e
 ffective\, and visually compelling representations of their data. This han
 ds-on training guided participants through the principles of designing dat
 a visualisations for scientific communication. From selecting the most sui
 table type of graph to avoiding common pitfalls such as error bars\, parti
 cipants learned how to tailor their visualisations to specific audiences a
 nd contexts\, whether for scholarly publications\, presentations\, or comp
 lex datasets. The course also included practical sessions using R.Target a
 udienceThis course was best suited for researchers and scientists with bas
 ic experience in R who were looking to deepen their skills in data visuali
 sation.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"657\">The SIB <em>Data Visualisation with R</em> course took p
 lace on 16-17 December 2025 in Zurich. It was designed to help scientists 
 create clear\, effective\, and visually compelling representations of thei
 r data. This hands-on training guided participants through the principles 
 of designing data visualisations for scientific communication. From select
 ing the most suitable type of graph to avoiding common pitfalls such as er
 ror bars\, participants learned how to tailor their visualisations to spec
 ific audiences and contexts\, whether for scholarly publications\, present
 ations\, or complex datasets. The course also included practical sessions 
 using R.</p><p data-start=\"659\" data-end=\"837\" data-is-last-node data-
 is-only-node><strong>Target audience</strong><br>This course was best suit
 ed for researchers and scientists with basic experience in R who were look
 ing to deepen their skills in data visualisation.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194742Z
END:VEVENT
BEGIN:VEVENT
UID:69f3b1debc810
DTSTART;VALUE=DATE:20251216
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20251217
SUMMARY:Data Visualisation with R
CLASS:PUBLIC
DESCRIPTION:The SIB Data Visualisation with R course took place on 16-17 De
 cember 2025 in Zurich. It was designed to help scientists create clear\, e
 ffective\, and visually compelling representations of their data. This han
 ds-on training guided participants through the principles of designing dat
 a visualisations for scientific communication. From selecting the most sui
 table type of graph to avoiding common pitfalls such as error bars\, parti
 cipants learned how to tailor their visualisations to specific audiences a
 nd contexts\, whether for scholarly publications\, presentations\, or comp
 lex datasets. The course also included practical sessions using R.Target a
 udienceThis course was best suited for researchers and scientists with bas
 ic experience in R who were looking to deepen their skills in data visuali
 sation.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"657\">The SIB <em>Data Visualisation with R</em> course took p
 lace on 16-17 December 2025 in Zurich. It was designed to help scientists 
 create clear\, effective\, and visually compelling representations of thei
 r data. This hands-on training guided participants through the principles 
 of designing data visualisations for scientific communication. From select
 ing the most suitable type of graph to avoiding common pitfalls such as er
 ror bars\, participants learned how to tailor their visualisations to spec
 ific audiences and contexts\, whether for scholarly publications\, present
 ations\, or complex datasets. The course also included practical sessions 
 using R.</p><p data-start=\"659\" data-end=\"837\" data-is-last-node data-
 is-only-node><strong>Target audience</strong><br>This course was best suit
 ed for researchers and scientists with basic experience in R who were look
 ing to deepen their skills in data visualisation.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194742Z
END:VEVENT
END:VCALENDAR