tjvananne

#' A word vector is a giant matrix of words, and each word contains a numeric array that represents the semantic
#' meaning of that word. This is useful so we can discover relationships and analogies between words programmatically.
#' The classic example is "king" minus "man" plus "woman" is most similar to "queen"


# function definition --------------------------------------------------------------------------

    # input .txt file, exports list of list of values and character vector of names (words)
    proc_pretrained_vec <- function(p_vec) {

tjvananne

# generic data dictionary creation using base-R

#' a couple notes: this could of course be done much faster using
#' third party packages, but I like to provide base-R solutions before
#' branching out into packages just in case they aren't available
#' 
#' Also, this could be done in a much less verbose and modular way,
#' but I did want to also demonstrate the "Functional Programming" 

tjvananne

# references:
# https://rud.is/b/2016/02/14/making-faceted-heatmaps-with-ggplot2/ 
# This is basically the TL;DR and it also uses a built-in dataset to foster reproducibility


library(ggplot2)
library(viridis)

gg <- ggplot(airquality, aes(x=Day, y=Month, fill=Temp))
gg <- gg + geom_tile(color='White', size=0.1)