#' trendfinder
#'
#' For the purposes of this program, "banner" refers to the columns of a crosstab (i.e. answer choices
#' running along the top) and "stem" refers to the rows (answer choices running down the left side). The stem answers
#' can be thought of as "autoweighted" segments.
#'
#' For some reason I thought camelCase was the sort of default for Python coders, and since I was intending to start
#' using Jupyter Notebooks around the time I created the trendfinder package using older versions of the code where
#' I defaulted to snake_case, you will see a random mix of snake_case and modified camelCase* in the package. The
#' case of a variable is, therefore, not in any way intended to be descriptive or show some sort of class (read: my
#' consistency is very bad). Sadly, I learned after I was done that most Python coders use snake_case most of the time
#' unless there's a valid reason (internal consistency or other accepted standards for variable names).
#'
#' Speaking of there being a trendfinder package--there's a trendfinder package! It's my first one and it is fairly
#' involved, and I didn't take the trouble to learn proper documentation, create vignettes, or fully grok the interplay
#' of libraries/dependencies, functions, params, etc. I mean, even this documentation of an empty function as a sort
#' of readme file is highly suspect. I'm happy to do things correctly if time allows and it is deemed necessary, but as
#' this is something of a stop-gap I'm not going to do it presently.
#'
#' *I wanted to include acronyms in my variable names, which I guess is generally frowned upon but when it's
#' something like "US Geography" I think it's not too vague. However, I kept coming across cases like "US Adults".
#' USAdults, usAdults, UsAdults all look strange to me. Enter: gonCase. gonCase emphasizes readability of obvious
#' abbreviations by requiring capitalization of the abbreviation and that any leading or trailing letters are lower case.
#' gonCase: whenAcronymsAreDesiredAndUnderscoresAreLoathedWithLessWTFfactor
#'
#' @param so many
#' @return all the insights
#' @examples such example
trendfinder <- function() {
2 + 2 # = 5
# find the trends
}
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