22 - 26 March 2021 - ONLINE
09:00 am - 12:00 pm GMT
Introduction
The main objective of the course is learning how to use the software R as a practical tool for data validation, from code to reports and visual representations of results, learning the main workflows for data validation related R-scripts, analysis notebooks, parametrized reports, R markdown. Hence, in following the different production phases as defined in the GSBPM, training in R should provide a sustainable open source solution for statistical production in different fields.
Some of the topics which will be covered include: using R markdown templates and scripts, exploratory data analysis, quantitative and visualizations methods, data validation based on rules and dynamic and parametrized reporting.
The course has a GitHub repository, where participants can raise issues and share code-snippets and useful links: https://github.com/violetacln/learnRval
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ENGLISH | RUSSIAN |
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| Course programme - программа курса | ||
| Course part 1 - часть курса 1 | ||
| Course part 2 - часть курса 2 | ||
| Course part 3 - часть курса 3 | ||
| Requirements - Требования | ||
| .Rmd files for practical sessions - .Rmd файлы для практических занятий | Rmd Practice Files | |
For any question concerning the course, please contact:
EFTA - Mr. Bragi Olafsson (email: bragi.olafsson@ext.ec.europa.eu; tel.: +352 4301 37775)
EFTA - Ms. Elena Friso (email: elena.friso@ext.ec.europa.eu; tel.: +352 4301 33894)
Statistics Iceland - Ms. Violeta Calian (email: violeta.calian@hagstofa.is)