About Basel Data Science

BaselDataScience’s purpose is to organize data science events in Basel. Historically mainly focussed on R, we are open for other languages as the landscape is evolving.

Contact and contributions via linkedIn!

Events

Next meeting
When
Where	Unternehmen Mitte, Gerbergasse 30, 4001 Basel
Topics

contributions from events

Footnotes

banner picture (c) CC-BY-4.0 based on https://commons.wikimedia.org/wiki/File:Basel-Muenster-04-gje.jpg ↩︎

--- title: Basel Data Science listing: contents: posts sort: "date desc" type: grid grid-columns: 3 image-height: 200px page-size: 10 categories: true page-layout: full title-block-banner: true image: baseldatasciencelogo.jpeg format: html: toc: true toc-location: left code-fold: true code-tools: true code-summary: "Show the code" df-print: paged font-family: ["Ubuntu", sans-serif] mainfont: "Ubuntu" title-block-banner: baseldatasciencelogo.jpeg editor: markdown: wrap: sentence --- [^1] [^1]: banner picture (c) CC-BY-4.0 based on <https://commons.wikimedia.org/wiki/File:Basel-Muenster-04-gje.jpg> # About Basel Data Science **BaselDataScience**'s purpose is to organize **data science events in Basel**. Historically mainly focussed on R, we are open for other languages as the landscape is evolving. Contact and contributions via [linkedIn](https://www.linkedin.com/groups/12870553/)! # [Events](events.qmd) | Next meeting | | |------------------------------------|------------------------------------| | When | | | Where | Unternehmen Mitte, Gerbergasse 30, 4001 Basel | | Topics | | ### contributions from events ```{r write-redirects} #| echo: false # list names of post folders posts <- list.dirs( path = "posts", full.names = FALSE, recursive = FALSE ) # extract the slugs slugs <- gsub("^.*_", "", posts) # lines to insert to a netlify _redirect file post_redirects <- paste0("/", slugs, " ", "/posts/", posts) # function to extract post categories from index.qmd files get_post_categories <- function(post) { file <- here::here("posts", post) |> fs::path("index.qmd") if(!fs::file_exists(file)) { return(character(0)) } file |> readLines() |> stringr::str_subset("^categories:") |> stringr::str_extract("\\[.*\\]") |> stringr::str_remove_all("[\\[\\]]") |> stringr::str_split(", ") |> unlist() } # extract the categories categories <- purrr::map(posts, get_post_categories) |> unlist() |> unique() # extract categories in nice form keys <- categories |> stringr::str_to_lower() |> stringr::str_replace_all(" ", "-") # extract categories in ugly form values <- categories |> stringr::str_replace_all(" ", "%20") # category redirects category_redirects <- paste0("/category/", keys, " ", "/#category=", values) # write the _redirect file writeLines(c(post_redirects, category_redirects), here::here("_site", "_redirects")) ```

Categories

About Basel Data Science

Events

contributions from events

Claude helps to create an R package

Sun Drives Weather

UVB radiation and vitamin D balance

Nationalratswahlen Basel 2023

Wastewater drug monitoring Europe

rtables

Footnotes