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Copy file name to clipboardExpand all lines: README.md
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@@ -5,13 +5,13 @@ When: 7th March 2024, 1700-1830 UTC (convert to local time)
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Where: Register to receive the Zoom link: https://events.humanitix.com/integrating-sql-into-r-analytical-workflows-using-dbplyr
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Summary: In this workshop, we will discuss why you might consider a relational database to store environmental data. We will go over how to insert data in and retrieve data from a database using R and duckDB. We will focus on how to use the R dbplyr package to integrate databases into tidyverse-focused analytical workflows.
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Summary: In this workshop, we will discuss why you might consider a relational database to store environmental data. We will go over how to insert data in and retrieve data from a database using R and duckDB](https://duckdb.org/). We will focus on how to use the R [dbplyr](https://dbplyr.tidyverse.org/) package to integrate databases into tidyverse-focused analytical workflows.
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This workshop will cover these main points:
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- Introduce concepts of a database and discuss why you might want to have/want to use one
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- How to integrate the use of a database into an R analytical workflow
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- Hands-on exercise using duckDB, dbplyr and how it can be used to learn some SQL basics
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- Hands-on exercise using [duckDB](https://duckdb.org/), [dbplyr](https://dbplyr.tidyverse.org/) and how it can be used to learn some SQL basics
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