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View gist:b9a8bf21f921b3bd01e306d94beee11b
# SCRAPE STATS
library(RCurl)
library(XML)
# Set URL (make sure to use 'getURL' for https/secure sites)
nebrasketball2017_url <- getURL("https://www.sports-reference.com/cbb/schools/nebraska/2018-schedule.html")
# Pull data from second table on the page into a data frame for analysis
nebrasketball2017 <- readHTMLTable(nebrasketball2017_url, header = T, as.data.frame = T)[[2]]
View gist:04bc9aa38a1037b93c1ef16982011eec
# Access Twitter API using twitterR
# Need to have a Twitter account and can access keys, secrets, tokens by creating an app at apps.twitter.com
# Include the single quotes around your access codes
tw_consumer_key <- 'your_consumer_key'
tw_consumer_secret <- 'your_consumer_secret'
tw_access_token <- 'your_access_token'
tw_access_secret <- 'your_access_secret'
setup_twitter_oauth(tw_consumer_key, tw_consumer_secret, tw_access_token, tw_access_secret)
View gist:3a1d3f731422d258a9efc1492f5b0578
# Install/Library these functions:
library(forecast)
library (tidyr)
library (dplyr)
library (highcharter)
Upload Excel CSV file to R
aa_data <- read.csv("~/[name of file].csv", stringsAsFactors = FALSE, header = TRUE, sep = ",")
# Check data structure of uploaded data