Marcelo Carvalho dos Anjos

library(scales) demo_continuous(c(-50,50), labels = label_percent(scale = 1, style_positive = "plus", style_negative = "minus") ) hope this help

Thank you so much Julia. I think this video and content is great as intuitive explanation of PCA and how to implement and visualize it well in RStudio.

It works! thank you so much for that ! ``` library(tidyverse) library(ggQC) df % arrange(desc(cost)) %>% mutate(type_nc = fct_reorder(type_nc, desc(cost))) %>% ggplot(aes(x = type_nc, y = cost))+ stat_pareto(point.color = "darkgray",...

In RStudio there is a very useful option to show data/plots/viewer/console without having to split panels, it just expands the panels using shortcut keys. Tools>Modify Keyboard Shortcuts>Zoom. It's really fast....