fototo

## Load library:
library("exams")

## exam questions:
myexamlist<-list("pnorm1","sesamplesize1multiplechoice")

## output directory
## create new test dir if one does not exist:
files.list<-system("ls",intern=TRUE)

fototo

#' The single-file, 'source'-able version of https://github.com/hrbrmstr/zellingenach
#' More info here: http://bit.ly/zellingenach
#' By @hrbrmstr (2016)
#' MIT LICENSE 

# NOTE THAT YOU NEED INTERNET ACCESS TO RUN THIS SCRIPT
# it pulls the three necessary files (only once) from my web site

library(V8)
library(dplyr)

fototo

#Load library mass and set seed
library(MASS)
set.seed(100)

# We are going to use 3 random variables
m <- 3

# Number of samples to be drawn
n <- 2000

fototo

fototo

fototo

import pandas as pd
# http://blog.yhathq.com/static/misc/data/WineKMC.xlsx
df_offers = pd.read_excel("./WineKMC.xlsx", sheetname=0)
df_offers.columns = ["offer_id", "campaign", "varietal", "min_qty", "discount", "origin", "past_peak"]
df_offers.head()

df_transactions = pd.read_excel("./WineKMC.xlsx", sheetname=1)
df_transactions.columns = ["customer_name", "offer_id"]
df_transactions['n'] = 1
df_transactions.head()

fototo

require "rubygems"
require "bundler"
require_relative "lib/importer"

Bundler.setup

desc "Import from Trello board"
task :import do
  Importer.new(File.dirname(__FILE__)).import ENV["ISSUE"]
end

fototo

# Drawing a scatter plot of raster images
doInstall <- TRUE  # Change to FALSE if you don't want packages installed.
toInstall <- c("png", "sna")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)

# Go to https://www.gosquared.com/resources/2400-flags, download the ZIP,
# and put the 64 x 64 files into a directory of your choosing.
# Then setwd() to that directory:
setwd("C:/Dropbox/isDotR_Files/flagIcons")

fototo

library(rgdal)
library(rgeos)
library(ggplot2)
library(readr)
library(tidyr)
library(dplyr)
library(grid)

us <- readOGR("us_states_hexgrid.geojson", "OGRGeoJSON")

fototo

• 데이터 출처: https://gist.github.com/cornchz/eb495322b97bd69362a2#file-lotteria-csv
• 주의사항
  • 같은 위경도를 가지는 두 점이 있으면 voronoi가 깨짐
    • 그래서 screen.py로 중복되는 점들 filtering함