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airline | voluntary_denied | involuntary_denied | enplaned_ct | involuntary_db_per_10k | year | |
---|---|---|---|---|---|---|
Hawaiian Airlines | 326 | 49 | 10824495 | 0.05 | 2016 | |
Delta Air Lines | 129825 | 1238 | 129281098 | 0.1 | 2016 | |
Virgin America | 2375 | 94 | 7945329 | 0.12 | 2016 | |
Alaska Airlines | 6806 | 931 | 23390900 | 0.4 | 2016 | |
United Airlines | 62895 | 3765 | 86836527 | 0.43 | 2016 | |
Spirit Airlines | 10444 | 1117 | 19418650 | 0.58 | 2016 | |
Frontier Airlines | 2096 | 851 | 14666332 | 0.58 | 2016 | |
American Airlines | 54259 | 8312 | 130894653 | 0.64 | 2016 | |
Jetblue Airways | 1705 | 3176 | 34710003 | 0.92 | 2016 |
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#install.packages("rjson","RCurl") | |
library(RCurl) | |
library(rjson) | |
get_User_subs_page = function(user, after=NULL, cache=c()){ | |
baseurl = "http://www.reddit.com/user/" | |
params = "limit=100" | |
if(!is.null(after)){ | |
params = paste(params, "&after=",after, sep="") |
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# Code to fetch news streams from 5 live sources, process the streams and text | |
# and apply a simple sentiment scoring algorigthm. | |
# | |
# A writeup of the analysis can be found here: | |
# https://www.linkedin.com/pulse/article/20141109035942-34768479-r-sentiment-scoring-hsbc-w-harvard-general-inquirer | |
# Define the packages we want to load: | |
packs = c( | |
"tm", # Text mining | |
"tm.plugin.webmining", # Web-source plugin for text mining |
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set.seed(1234) | |
dat <- data.frame( | |
product=c(rep("Mobile",2), | |
rep(c("Smartphone", "Mobile"),3), | |
rep(c("Video rental shop"),3), | |
rep(c("Video rental shop", | |
"Online movie rental"),2)), | |
year=c(2008:2010, 2010, 2011, 2011, 2012, 2012, | |
2008:2010, 2011, 2011, 2012, 2012), | |
category=c(rep("Phone", 8), rep("Film", 7)), |
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rm(list = ls()) | |
doInstall <- TRUE # Change to FALSE if you don't want packages installed. | |
toInstall <- c("zoo", "tm", "ggplot2", "Snowball") | |
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
lapply(toInstall, library, character.only = TRUE) | |
# From: http://www.cnn.com/2012/10/03/politics/debate-transcript/index.html | |
Transcript <- readLines("https://raw.github.com/dsparks/Test_image/master/Denver_Debate_Transcript.txt") | |
head(Transcript, 20) |