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Data Science for Ecologist in R: Tidy Data - Self-Learning Video Series
Data Science for Ecologist in R: Tidy Data - Self-Learning Video Series
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Description

The two-part self-study series "Data Science for Ecologists in R" teaches researchers from the fields of biology and ecology how to use the free programming language R. The first part gives an introduction to what tidy data is and why it is a great way of mapping the meaning of a dataset to its structure. The second part focuses on Linear Models in R.
Details

URL: https://www.youtube.com/playlist?list=PL06Unzn1hDrjw4nOQk7ZfZmZ8vJ48aDy_Communities:Disciplines:Target Groups:
  • Phd Student
  • Researcher
Proficiency Levels:
  • Novice
  • Advanced Beginner

Importing data in R - Tidy Data part 3
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Importing data in R - Tidy Data part 3This video is part of the Data Science for Ecologists in R series and gives an introduction on what tidy data is and why we should use tidy data. Links: https: https://www.r-project.org RStudio: https://www.rstudio.com/products/rstu... Git Repository: https://github.com/DataScience4Ecolog...
File Format
Unknown
Languages
English
Publication Date
2021-11-12
License
CCBY
Authors
Keywords
#R#Data Science
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity Data
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity DataThe NFDI4Biodiversity Self-Study Unit (SSU) provides in-depth knowledge for both students and researchers specializing in biodiversity and environmental sciences. This learning is based on the online learning unit "Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials)" of the Hessian Research Data Infrastructures. Developed in collaboration between several partners within NFDI4Biodiversity, the SSU offers essential domain-specific knowledge in research data management.
Learning Resource Type
Assessment, Course
File Format
Unknown
Languages
English
Media Type
Text, Video
Publication Date
2023-12-23
License
CCBYSA
Authors
Keywords
#Research Data Management#Biodiversity#Data Life Cycle#Ecologist
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Data preparation - Tidy Data part 2
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Data preparation - Tidy Data part 2This video is part of the Data Science for Ecologists in R series and gives an introduction on what tidy data is and why we should use tidy data. Links: https: https://www.r-project.org RStudio: https://www.rstudio.com/products/rstu... Git Repository: https://github.com/DataScience4Ecolog...
File Format
Unknown
Languages
English
Publication Date
2021-11-08
License
CCBY
Authors
Keywords
#R#Data Science
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Forschungsdatenmanagement für Agrarwissenschaftler und Biologen
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Forschungsdatenmanagement für Agrarwissenschaftler und BiologenPresentation slides for a Workshop about research data management for students and researchers of agricultural sciences and biology. Workshop held at Humboldt-Universität zu Berlin, 12 May 2016.
Learning Resource Type
Lecture
File Format
PPTX, ODP, PDF
Languages
German
Media Type
Presentation
Publication Date
2016-05-27
License
CCBY
Authors
Keywords
#Research Data Management#Data Journals#Data Paper#Metadata#Pangaea#Repositories#Research Data#re3data
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Introduction to Tidy data - Tidy Data part 1
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Introduction to Tidy data - Tidy Data part 1This video is part of the Data Science for Ecologists in R series and gives an introduction on what tidy data is and why we should use tidy data. Links: https: https://www.r-project.org RStudio: https://www.rstudio.com/products/rstu... Git Repository: https://github.com/DataScience4Ecolog...
File Format
Unknown
Languages
English
Publication Date
2021-09-10
License
CCBY
Authors
Keywords
#R#Data Science
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Tidy Data 4 - Importing Data into R Structuring and summarizing Data
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Tidy Data 4 - Importing Data into R Structuring and summarizing DataThis video is part of the Data Science for Ecologists in R series and gives an introduction on what tidy data is and why we should use tidy data. Links: https: https://www.r-project.org RStudio: https://www.rstudio.com/products/rstu... Git Repository: https://github.com/DataScience4Ecolog...
File Format
Unknown
Languages
English
Publication Date
2022-07-18
License
CCBY
Authors
Keywords
#R#Data Science
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