ɘigɘnstil
boosted
#30DayMapChallenge day 15 (Fire) with #RStats
An animation of global fires in 2024 using #MODIS data.
#30DayMapChallenge day 15 (Fire) with #RStats
An animation of global fires in 2024 using #MODIS data.
ɘigɘnstil
boosted
Day 13 #30DayMapChallenge - How far can you walk from Birmingham City's stadium? The Blues had to feature (as always!) and this time it's to answer the question how far can you walk in 10 mins. I may update this in the future to show all pubs within a reasonable walking distance! #rstats #dataviz
Day 13 #30DayMapChallenge - How far can you walk from Birmingham City's stadium? The Blues had to feature (as always!) and this time it's to answer the question how far can you walk in 10 mins. I may update this in the future to show all pubs within a reasonable walking distance! #rstats #dataviz
ɘigɘnstil
boosted
🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
🗺️ Day 14 of #30DayMapChallenge — Rome OSM Data in R
Clean palette for highways, rivers, hospitals and bus stops and a simple setup:
• getbb("Rome, Italy")
• opq() + add_osm_feature()
• geom_sf() to layer the city
#rstats #dataviz #geospatial
Robyn
boosted
Robyn
boosted
Get one of my other courses for free if you register for my online course on Missing Data Imputation in R by November 19: https://statisticsglobe.com/online-course-missing-data-imputation-r
Get one of my other courses for free if you register for my online course on Missing Data Imputation in R by November 19: https://statisticsglobe.com/online-course-missing-data-imputation-r
Robyn
boosted
Never really liked the old-style anonymous functions using ~ and . and .x. New style makes much more sense to me. #rstats
replace specific character with na
fecking bracket placement important
1. old style
mutate(across(site:fuel, ~ifelse(. == "[x]", NA, .)))
2. new style
mutate(across(site:fuel, (x) ifelse(x == "[x]", NA, x)))
and repeated using set_units on character column
d |> mutate(across(start:end, (x) x |> as.integer() |> set_units("Year")))
Never really liked the old-style anonymous functions using ~ and . and .x. New style makes much more sense to me. #rstats
replace specific character with na
fecking bracket placement important
1. old style
mutate(across(site:fuel, ~ifelse(. == "[x]", NA, .)))
2. new style
mutate(across(site:fuel, (x) ifelse(x == "[x]", NA, x)))
and repeated using set_units on character column
d |> mutate(across(start:end, (x) x |> as.integer() |> set_units("Year")))