The "raster" prompt on #Day7 of the #30DayMapChallenge gave me a chance to look at maps under different grid resolutions using the {stars} #rstats package! 🏴󠁧󠁢󠁳󠁣󠁴󠁿🏴󠁧󠁢🏴󠁧󠁢󠁳

Code: https://github.com/nrennie/30DayMapChallenge/blob/main/2022/scripts/07_raster.R

#15MinuteMaps #DataViz #DataVisualistion #GIS

30DayMapChallenge/07_raster.R at main · nrennie/30DayMapChallenge

Repository containing code for the #30DayMapChallenge. - 30DayMapChallenge/07_raster.R at main · nrennie/30DayMapChallenge

GitHub

Some features I'm already planning on: export any event to .ics (calendar format); sticky menu for filtering by venue or type

I was also curious about tiers/ranking -- in our lab, we have an unofficial "tier" system for considering what counts as a paper that fulfills the candidacy / doctoral requirements of the program (loosely correlated with impact factor). But are these tiers universal? Controversial?

#impactfactor #academia #noxp #dataVisualistion #hci #phd

For the "lines" prompt on #Day2 of the #30DayMapChallenge, I used the {roughsf} #rstats package from
David Schoch to draw some lines to colour in a map of Scotland!

Code: https://github.com/nrennie/30DayMapChallenge/blob/main/2022/scripts/02_lines.R

#15MinuteMaps #DataViz #DataVisualistion

30DayMapChallenge/02_lines.R at main · nrennie/30DayMapChallenge

Repository containing code for the #30DayMapChallenge. - 30DayMapChallenge/02_lines.R at main · nrennie/30DayMapChallenge

GitHub

Inspired by Cara Thompson
to make some cakes for this week's #TidyTuesday using Great British Bake Off data! 🍰 🍰 🍰 The {bakeoff} R package is awesome!

Code: https://github.com/nrennie/tidytuesday/tree/main/2022/2022-10-25

#RStats #DataViz #r4ds #GBBO #DataVisualistion #ggplot2 #DataScience #DataVizualisation

A filterable gallery of more than 100 #ggplot2 extensions. So much fun can be had with this #dataVisualistion ecosystem.

https://exts.ggplot2.tidyverse.org/gallery/

#RStats @rstats