ESA 2020 Data Help Desk: Difference between revisions

ESA 2020 Data Help Desk (view source)

53 bytes added , 10 August 2020

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 | ''asynchronous''
 | Deborah Paul (iDigBio), Jeanette Clark (Arctic Data Center)
-| [[Media:2020_DataCleaningForAnalysisAndPublication_PaulClark.pdf|Cleaning data and creating tidy data structures to facilitate reproducible research]]
+| Cleaning data and creating tidy data structures to facilitate reproducible research ([[Media:2020_DataCleaningForAnalysisAndPublication_PaulClark.pdf|PDF]])
 | Join us to learn how tidy data concepts can make your analysis easier and improve reproducibility. This session describes how to deal with inconsistencies, missing values, entry errors, multiple values in single columns, and many other data issues. Demonstrations will use R and Open Refine.
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 | ''asynchronous''
 | [mailto:ekrimmel@fsu.edu Erica Krimmel] (iDigBio)
-| [[Media:20200805 ESA CC-Intro-to-APIs.pdf|Reading data directly into your analysis script: Introduction to APIs]]
+| Reading data directly into your analysis script: Introduction to APIs ([[Media:20200805 ESA CC-Intro-to-APIs.pdf|PDF]])([https://vimeo.com/444924504 recording])
 | Do you write scripts to analyze your data? An Application Programming Interface (API) can provide direct access to data and metadata in online repositories, saving you time and increasing the reproducibility of your analyses. This talk will provide an introduction in R to using APIs from several repositories of ecological data.
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