Abe Neuwirth yeedle

## hourly-weather.R
library(tidyverse)
library(R.utils)
library(glue)
library(magrittr)
library(weathermetrics)
library(padr)
library(ggExtra)
library(lubridate)
library(scales)
library(hrbrthemes)

## genesis_public_key
041adf4cc10534b649bfaeed80934e4369203cabff2756e57453bb99472c7897beb04d71b16f83217631ea0628d114d4fe78b9e045c885c62205aca860db0c0775;realazthat

## tiobe.R
library(rvest)
library(stringr)
library(tidyverse)

page <- read_html("https://www.tiobe.com/tiobe-index/r/")

script <- page %>%
  html_node("body > section > section > section > article > script") %>%
  html_text()

## keybase.md

      
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                yeedle
                / keybase.md
            
            
              Created
              January 3, 2018 23:22
            
          
    Keybase proof

I hereby claim:

I am yeedle on github.
I am yeedle (https://keybase.io/yeedle) on keybase.
I have a public key ASAAPQHuf4Regji3HsrhtW0tKbOSvMjHlV1lSpxv6zbvPAo

To claim this, I am signing this object:

  
## hourly-weather-london.R
library(tidyverse)
library(R.utils)
library(glue)
library(padr)
library(ggExtra)
library(lubridate)
library(scales)
library(hrbrthemes)

#london

## The Technical Interview Cheat Sheet.md

      
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                yeedle
                / The Technical Interview Cheat Sheet.md
            
            
              Created
              November 13, 2016 04:28
                — forked from tsiege/The Technical Interview Cheat Sheet.md
            
              
                This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
              
          
    Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics.  It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth.  It also will be available as a gist on Github for everyone to edit and add to.
Data Structure Basics

###Array
####Definition:

Stores data elements based on an sequential, most commonly 0 based, index.
Based on tuples from set theory.


## rasmussen-approval-index.r
library(tidyverse)
library(rvest)
library(lubridate)
library(ggalt)

obama_url <- "http://www.rasmussenreports.com/public_content/politics/obama_administration/obama_approval_index_history"
trump_url <- "http://www.rasmussenreports.com/public_content/politics/trump_administration/trump_approval_index_history"

index <- list(obama = obama_url, trump = trump_url) %>%
  map_df(~ read_html(.x) %>%

## hms_reprex.md

      
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                yeedle
                / hms_reprex.md
            
            
              Last active
              May 21, 2017 02:57
            
          
    library(tidyverse)
#> + ggplot2 2.2.1.9000        Date: 2017-05-20
#> + tibble  1.3.1                R: 3.4.0
#> + tidyr   0.6.3               OS: elementary OS 0.4.1 Loki
#> + readr   1.1.1              GUI: X11
#> + purrr   0.2.2.2         Locale: en_US.UTF-8
#> + dplyr   0.5.0.9005          TZ: posixrules
#> + stringr 1.2.0           
#> + forcats 0.2.0

  
## add_images_as_xlabels.R
#' Replace categorical x-axis labels with images
#'
#' Pipe a ggplot2 graph (with categorical x-axis) into this function with the argument of a list of
#' pictures (e.g. loaded via readImage) and it builds a new grob with the x-axis categories
#' now labelled by the images. Solves a problem that you perhaps shouldn't have.
#'
#' @author J. Carroll, \email{jono@@jcarroll.com.au}
#' @references \url{http://stackoverflow.com/questions/29939447/icons-as-x-axis-labels-in-r-ggplot2}
#'
#' @param g     ggplot graph with categorical x axis

## download_windows_binaries.R
getPackages <- function(packs){
  packages <- unlist(
    tools::package_dependencies(packs, available.packages(),
                                which=c("Depends", "Imports"), recursive=TRUE)
  )
  packages <- union(packs, packages)
  packages
}

packages <- getPackages(c("ggplot2", "MASS"))
	library(tidyverse)
	library(R.utils)
	library(glue)
	library(magrittr)
	library(weathermetrics)
	library(padr)
	library(ggExtra)
	library(lubridate)
	library(scales)
	library(hrbrthemes)
	library(rvest)
	library(stringr)
	library(tidyverse)

	page <- read_html("https://www.tiobe.com/tiobe-index/r/")

	script <- page %>%
	html_node("body > section > section > section > article > script") %>%
	html_text()
	#' Replace categorical x-axis labels with images
	#'
	#' Pipe a ggplot2 graph (with categorical x-axis) into this function with the argument of a list of
	#' pictures (e.g. loaded via readImage) and it builds a new grob with the x-axis categories
	#' now labelled by the images. Solves a problem that you perhaps shouldn't have.
	#'
	#' @author J. Carroll, \email{jono@@jcarroll.com.au}
	#' @references \url{http://stackoverflow.com/questions/29939447/icons-as-x-axis-labels-in-r-ggplot2}
	#'
	#' @param g ggplot graph with categorical x axis
	getPackages <- function(packs){
	packages <- unlist(
	tools::package_dependencies(packs, available.packages(),
	which=c("Depends", "Imports"), recursive=TRUE)
	)
	packages <- union(packs, packages)
	packages
	}

	packages <- getPackages(c("ggplot2", "MASS"))