sociolinguist interested in pop culture, digital media, and positioning
Data visualisation #ggplot2, mapping and cats.
@unigöttingen
#digitalhumanities
🏳️🌈💚
Ab morgen dann “in echt” in Göttingen, wo ich Anfang Oktober eine neue Stelle am Institut für Digital Humanities begonnen habe. 👋 Eine schöne und traurige und pläneschmiedende letzte Woche war es.
Ab morgen dann “in echt” in Göttingen, wo ich Anfang Oktober eine neue Stelle am Institut für Digital Humanities begonnen habe. 👋 Eine schöne und traurige und pläneschmiedende letzte Woche war es.
🗓 July 22, 2.15 PM
📍Room 110
✨ Listeners are warmly invited!
🗓 July 22, 2.15 PM
📍Room 110
✨ Listeners are warmly invited!
Bitter, wenn er doch Kanzler werden sollte.
Bitter, wenn er doch Kanzler werden sollte.
Lohnt es sich heute schon Folien vorzubereiten oder warte ich die Nachrichten morgen früh ab?
Immerhin: Semester fast rum.
Lohnt es sich heute schon Folien vorzubereiten oder warte ich die Nachrichten morgen früh ab?
Immerhin: Semester fast rum.
gather in Groningen for #12ICOM!
Mark your calendars and check out the call for papers (Deadline: 1 December):
bit.ly/12ICOM
#multimodality
gather in Groningen for #12ICOM!
Mark your calendars and check out the call for papers (Deadline: 1 December):
bit.ly/12ICOM
#multimodality
Special issue coming October 2024.
Special issue coming October 2024.
The 12th International Conference on Multimodality, #12ICOM, will take place on 29-31 October 2025 in Groningen!
Please spread the word. More updates soon via: bit.ly/12ICOM.
The #12ICOM organizing team can’t wait to host you in the capital of the north!
The 12th International Conference on Multimodality, #12ICOM, will take place on 29-31 October 2025 in Groningen!
Please spread the word. More updates soon via: bit.ly/12ICOM.
The #12ICOM organizing team can’t wait to host you in the capital of the north!
and probably the only one I can fit in this week.
Day 15: historical
Tool: Datawrapper
Data: "Es war einmal ... der Mensch" and the rough time periods covered in each episode (wikipedia & IMDB)
and probably the only one I can fit in this week.
Day 15: historical
Tool: Datawrapper
Data: "Es war einmal ... der Mensch" and the rough time periods covered in each episode (wikipedia & IMDB)
Day 12: Reuters Graphics
I took a paragraph from their "collapse of insects" story to create a small infographic 🐝. Full story here: www.reuters.com/graphics/GLO...
Tool: Canva
Day 12: Reuters Graphics
I took a paragraph from their "collapse of insects" story to create a small infographic 🐝. Full story here: www.reuters.com/graphics/GLO...
Tool: Canva
Day 10: Physical
Data: ifpi global music report 2024
Tools: R (ggplot column coord_polar())
Day 10: Physical
Data: ifpi global music report 2024
Tools: R (ggplot column coord_polar())
Day 9 | Major/Minor
Data: Animal Farm (1945, Project Gutenberg)
Tools: AntConc (for distribution), RawGraphs.io
Pig illustration from the Penguin edition (2008)
Day 9 | Major/Minor
Data: Animal Farm (1945, Project Gutenberg)
Tools: AntConc (for distribution), RawGraphs.io
Pig illustration from the Penguin edition (2008)
(#30DayChartChallengebutnoweekends)
Day 8 | Circular
(old!) data from kaggle
Tools: Rawgraphs.io & Canva
(#30DayChartChallengebutnoweekends)
Day 8 | Circular
(old!) data from kaggle
Tools: Rawgraphs.io & Canva
Day 5: diverging
A very quick chart using some data from my PhD. This highlights a neat pattern I found across a number of features and tv series. Britishness in American tv goes with posh, conservative, upper class characters like Richard Gilmore.
Tool: Datawrapper
Day 5: diverging
A very quick chart using some data from my PhD. This highlights a neat pattern I found across a number of features and tv series. Britishness in American tv goes with posh, conservative, upper class characters like Richard Gilmore.
Tool: Datawrapper
Day 4: Waffle
Data: All dialogue from Parks and Rec from kaggle
Tool: R, waffle package & Canva
Day 4: Waffle
Data: All dialogue from Parks and Rec from kaggle
Tool: R, waffle package & Canva
Day 3: Makeover
I'm sticking with TV data and created a new version of a plot I first put together for one of my courses last year.
Ridgeline plot inspiration comes from r-graph-gallery's showcase (by Ansgar Wolsing)
data: bakeoff.netlify.app
tool: R (ggplot2)
Day 3: Makeover
I'm sticking with TV data and created a new version of a plot I first put together for one of my courses last year.
Ridgeline plot inspiration comes from r-graph-gallery's showcase (by Ansgar Wolsing)
data: bakeoff.netlify.app
tool: R (ggplot2)
Day 2: neo
Sticking with TV!
Data: First broadcasts for ZDFneo's tv shows (min. 3 episodes) based on Wikipedia
Tool: Datawrapper
Chart: Mirrored Bar Chart
Day 2: neo
Sticking with TV!
Data: First broadcasts for ZDFneo's tv shows (min. 3 episodes) based on Wikipedia
Tool: Datawrapper
Chart: Mirrored Bar Chart