nikdata

The basic steps are:

• Configuration
  • ZSH
  • SSH
  • Git
• Applications
  • Brew
  • iTerm2
• R/RStudio

nikdata

Brave Browser

https://brave.com/linux/

Base R & RStudio

1. key link: https://cran.r-project.org
2. add a file called jranke.asc with contents from here: https://keyserver.ubuntu.com/pks/lookup?op=get&search=0xe19f5f87128899b192b1a2c2ad5f960a256a04af
3. then add jranke.asc to gpg with sudo apt-key add jranke.asc
4. blog: http://wentoday.com/wp/2020/03/02/installing-the-latest-r-and-rstudio-on-a-chromebook/
5. reddit: https://www.reddit.com/r/Crostini/comments/fiee9e/installing_rstudio_2020/

nikdata

# Load libraries
library(shiny)
library(dplyr)
library(tidyr)
library(ggplot2)
library(palmerpenguins)

# data used for minimium reproducible example (reprex)
df <- penguins %>% 
  tidyr::drop_na() %>% 

nikdata

Google AI Platform Notebook tips

AI Notebooks vs Colab

Google Colab: https://colab.research.google.com/

• Free compute! and interesting, fixed cost, 10$/month Google Colab Pro version.
• Notebooks are very easy to share, with ability to control permissions (integration in google drive/doc ecosystem).
• Instant availability. No requirement other than a regular google account.
• Idle time limit : 1h in free version.

nikdata

fetch_xwd <- function(date) {
  
  if(missing(date)) {
    cur_date <- Sys.Date()
  } else {
    cur_date <- date
  }
  
  dayofweek <- as.character(lubridate::wday(cur_date, label = TRUE))
  

nikdata

library(reticulate)
library(palmerpenguins)
library(dplyr)
library(ggplot2)
library(extrafont)

df_pgs <- palmerpenguins::penguins

dplyr::glimpse(df_pgs)