Code/Tools/aproaches we have seen in class that you saw used ove rthe week
janitor, tidyverse, clean_names, filter ==, %>% pipe, select, rename, mutate, arrange, group_by, summarize, tibble
Code/Tools/aproaches that you enjoyed or that surprised you that we have not seen in class
ggflags plots by @dataR_amateur
geompoint , goem moon, coord_sf @G_abgrall
ggthemes @G_abgrall
ggplot2 by @G_abgrall
glue package, scales package by @cnicault
readr:: read_csv, ungroup, slice_max, annotate by @cnicault
magick package @nrennie35
Data visualizations (figures) that you enjoyed
sf function @G_abgrall
maptools @G_abgrall
cartogram @G_abgrall
colorspace
coordinate cleaner @G_abgrall
ggtext @G_abgrall
gggibbous @G_abgrall
ggflags plots by @dataR_amateur
plots by @sergioaquinocan , @tladeras
Gif plots from @tanya_shapiro
Data Visualization (Figures) that could be improved (and how you would improve them)
plots by @issa_madjid gives headache by just looking at it before trying to make sense / meaning of data. this can be improved by reducing clatter
plots by @FGazzelloni too much noise colour. This can be improved by blending brighter and darker colours
Code/Tools/aproaches we have seen in class that you saw used ove rthe week janitor, tidyverse, clean_names, filter ==, %>% pipe, select, rename, mutate, arrange, group_by, summarize, tibble
Code/Tools/aproaches that you enjoyed or that surprised you that we have not seen in class ggflags plots by @dataR_amateur geompoint , goem moon, coord_sf @G_abgrall ggthemes @G_abgrall ggplot2 by @G_abgrall glue package, scales package by @cnicault readr:: read_csv, ungroup, slice_max, annotate by @cnicault magick package @nrennie35
Data visualizations (figures) that you enjoyed sf function @G_abgrall maptools @G_abgrall cartogram @G_abgrall colorspace coordinate cleaner @G_abgrall ggtext @G_abgrall gggibbous @G_abgrall ggflags plots by @dataR_amateur plots by @sergioaquinocan , @tladeras Gif plots from @tanya_shapiro
Data Visualization (Figures) that could be improved (and how you would improve them) plots by @issa_madjid gives headache by just looking at it before trying to make sense / meaning of data. this can be improved by reducing clatter plots by @FGazzelloni too much noise colour. This can be improved by blending brighter and darker colours