This repository hold the materials used in the workshop "Strik og Kod" (Knit and Code) from AU Library at the Royal Danish Library. The workshop is about drawing parallels between knitting and coding. "Coding" is in our context understood as coding-based data processing and therefore lies within the field of data science. As the workshop is made in context of the humanities the example used will be text mining. When text mining the primary interest is pulling information out of large corpora - which is the exact interest of many humanists.
Another aim of the workshop is to use the library room as a safe space for learning something that is considered incomprehensible by many humanist students and scholars. By using the knitting parallel with hope to defuse this common consideration of coding being off limit for humanists. By doing this in the library instead of the normal class room we hope to create a secure environment where no questions are stupid and the pace makes sure everyone is following along
No recipe is complete without a picture of the final product as one of the first items. And this is no exception. The final result at the end of this document is the visualisation shown just under this paragraph. It shows the most frequently appearing words in old newspaper articles concerning knitting after all stopwords has been removed (it, that, to, and, in - words which bear no larger meaning).
- Tidy Text Mining with R
- Import your own text files to R!
- Danish Newspaper API
- Cheatsheet for searching Mediestream
- Knit, purl and upload: new technologies, digital mediations and the experience of leisure
- Knitting Ourselves Into Being: the Case of Labour and Hip Domesticity on the Social Network Ravelry.com
- Secure Your Home IoT with the CryptoCrochetKey
- Random Stripe Generator, eksports in HTML
- Mariko Kosaka: Knitting for Javascripters
- Code Academy: Learn to Code for Free
- R-Ladies: global organisationwith focus on gender diversity in R-communities – Give them a follow on Twitter
- Text mining courses with Max at Aarhus University Library
Csardi, Gabor, and Tamas Nepusz. 2006. “The Igraph Software Package for Complex Network Research.” InterJournal Complex Systems: 1695. https://igraph.org.
Fellows, Ian. 2018. Wordcloud: Word Clouds. https://cran.r-project.org/web/packages/wordcloud/index.html.
Silge, Julia, and David Robinson. 2016. “Tidytext: Text Mining and Analysis Using Tidy Data Principles in r.” JOSS 1 (3). https://doi.org/10.21105/joss.00037.
Pedersen T (2022). ggraph: An Implementation of Grammar of Graphics for Graphs and Networks. https://ggraph.data-imaginist.com, https://github.com/thomasp85/ggraph.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.