# objetivo: Plot de demanda nacional de electricidad del Reino Unido
# proceso : Dos procesamientos:
# - Agrupar por año y contar demanda total
# - Demanda cada 30 minutos entre 2014 y 2016
# objetivo: Plot de demanda nacional de electricidad del Reino Unido
# proceso : Dos procesamientos:
# - Agrupar por año y contar demanda total
# - Demanda cada 30 minutos entre 2014 y 2016
There are now so many "backends" for {dplyr}—duckdb with {duckplyr}, polars with {tidypolars}, various database engines with {dbplyr}, {data.table} with {dtplyr}. Is there a blog post or flow chart somewhere with pros and cons of each? Like, comparisons of memory requirements, speed, and how likely they are to "just work"?
My latest article covers it all! Learn how to choose the right method for your data needs.
Read it here: https://www.spsanderson.com/steveondata/posts/2025-02-24/ and let me know what you think!
My latest article covers it all! Learn how to choose the right method for your data needs.
Read it here: https://www.spsanderson.com/steveondata/posts/2025-02-24/ and let me know what you think!
#rstats #tidyverse #dplyr I have tried to resolve this error in few days back but looks weird. The error in 5 was thrown up when the function in 1 was called. The traceback of the error is 4 which points to an object in 3 that was created in 2. No error shows when the codes are run in sequence.
JAN. 31. (credit: Melissa Wiederrecht )
#genuary31 #genuary #genuary2025
#Pixel sorting, by weight, size, age, etc.
Interesting to try out the DataFrame module in #haskell with some #dplyr familiarity https://github.com/mchav/dataframe - it's definitely not somewhere I'd start for analysing data, but I've been curious as to whether or not it was even possible with strict typing. It looks like it is!
Visit https://www.spsanderson.com/steveondata/posts/2024-11-12/ and share your thoughts in the comments!
Check it out at https://www.spsanderson.com/steveondata/posts/2024-11-12/ and let us know your favorite method!
The sequential evaluation of parameters in #Rstats #dplyr is a lovely stone of syntactic sugar. :heart:
https://mamot.fr/media/HFOmtCRA9NOIZYMTLng