# Load the readr package
library(readr)
# Import the csv file: pools
url_csv <- "http://s3.amazonaws.com/assets.datacamp.com/production/course_1478/datasets/swimming_pools.csv"
pools<-read_csv(url_csv)
# Import the txt file: potatoes
url_delim <- "http://s3.amazonaws.com/assets.datacamp.com/production/course_1478/datasets/potatoes.txt"
potatoes<-read_tsv(url_delim)
# Print pools and potatoes
pools
potatoes
# Load the readxl and gdata package
library(readxl)
library(gdata)
# Specification of url: url_xls
url_xls <- "http://s3.amazonaws.com/assets.datacamp.com/production/course_1478/datasets/latitude.xls"
# Import the .xls file with gdata: excel_gdata
excel_gdata<-read.xls(url_xls)
# Download file behind URL, name it local_latitude.xls
download.file(url_xls,destfile="local_latitude.xls")
# Import the local .xls file with readxl: excel_readxl
excel_readxl<-read_excel("local_latitude.xls")
# https URL to the wine RData file.
url_rdata <- "https://s3.amazonaws.com/assets.datacamp.com/production/course_1478/datasets/wine.RData"
# Download the wine file to your working directory
download.file(url_rdata,"wine_local.RData")
# Load the wine data into your workspace using load()
load("wine_local.RData")
# Print out the summary of the wine data
summary(wine)
# Load the httr package
library(httr)
# Get the url, save response to resp
url <- "http://www.example.com/"
resp<-GET(url)
# Print resp
resp
# Get the raw content of resp: raw_content
raw_content<-content(resp,as="raw")
# Print the head of raw_content
head(raw_content)
