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Method1 Plots.R
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Method1 Plots.R
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library(dplyr)
library(lubridate)
library(ggplot2)
setwd("E:\\Research\\BTP\\My BTP\\BM\\BM whole dataset")
p <- list.files(".",".csv")
#remove extra read names
#remove this for Jalli
p<- p[grep("2016*",p)]
firs <- gsub('.csv','',p[1])
firs <- gsub('[^a-zA-Z]','',firs)
print(firs)
firs <- "brexit"
new = data.frame(DATE=as.Date("2016-10-31"),Unique_Users=0, Unique_Tweets=0,
Total_tweet=0, pos =0)
for( i in 1:length(p)){
a <- read.csv(p[i], stringsAsFactors = FALSE)
uni_user <- length(unique(a$screenName))
#fOR hOLI
#date <- unique(as.Date(a$created, format= "%d-%m-%y"))
#For others
date <- unique(as.Date(a$created))
Ttweet <- nrow(a)
UTweets <- length(which(a$isRetweet== FALSE))
new[i,] <- data.frame(DATE=date, Unique_Users=uni_user,Unique_Tweets=UTweets,
Total_tweet=Ttweet, pos=0)
}
if(which.max(new$Unique_Users)==1){
d <- new$DATE[which.max(new$Unique_Users)]
new[i,] <- data.frame(DATE=d-1, Unique_Users=0,Unique_Tweets=0,
Total_tweet=0, pos=0)
}
new <- arrange(new, DATE)
#new[6,1] <- as.Date("2017-01-17")
#new[8,1] <- as.Date("2017-01-19")
l <- ggplot(new, aes(DATE, Unique_Users)) +
geom_point() + geom_line(aes(group=1))
l
lok <- new
po=as.character.Date(format(strftime(as.Date(new$DATE), "%d-%m-%Y")))
new$DATE <- factor(po, levels = po)
new$pos <- 1: nrow(new)
max_pos <- which.max(new$Unique_Users)
min_pos <- which.min(new$Unique_Users)
x_p <- new$Unique_Users[max_pos]
x_v <- new$Unique_Users[min_pos]
#Finding the minimas in data set
# minima <- c()
# h_pos_min <- c() #position of h in original dataset
# k <- 1
# for( i in 2:(length(new$Unique_Users)-1)){
# if(new$Unique_Users[i] - new$Unique_Users[i-1] <= 0 &&
# new$Unique_Users[i] - new$Unique_Users[i+1] <= 0){
# minima[k] <- new$Unique_Users[i]
# h_pos_min[k] <- new$pos[i]
# k <- k+1
# }
# }
# minima
# h_pos_min
L=75
# mins=h_pos_min[h_pos_min < max_pos]
#
# minless <- c()
# l1 <- 1
# if(length(mins)==0){
# xa=new$Unique_Users[1]
# }else{
# for(i in length(mins):1){
# if(new$Unique_Users[mins[i]] <= (x_p)*L/100){
# minless <- c(minless, mins[i])
# }
# }
# xa <-
# l1 <- minless[1]
# }
#
# maxs=h_pos_min[h_pos_min > max_pos]
#
# l2 <- nrow(new)
# maxgtr <- c()
# if(length(maxs)==0){
# xb=new$Unique_Users[nrow(new)]
# }else{
# for(i in 1:length(maxs)){
# if(new$Unique_Users[maxs[i]] <= (x_p)*L/100){
# maxgtr <- c(maxgtr, maxs[i])
# }
# }
# xb <- new$Unique_Users[new$pos == maxgtr[1]]
# l2 <- maxgtr[1]
# }
xa <- new$Unique_Users[new$DATE == "21-06-2016"]
xb <- new$Unique_Users[new$DATE == "26-06-2016"]
ttt<-61600
df_L <- data.frame(x1=new$DATE[max_pos], y1=0,
x2=new$DATE[max_pos], y2= (x_p)*L/100)
g <-ggplot(new, aes(DATE, Unique_Users)) + ylab("No. of Unique Users") +
xlab("Date")+ geom_point() + geom_smooth() + #theme(axis.text = element_text(face="bold"))+
geom_line(aes(group=1), size=1.0) + theme_bw()+
theme(axis.text.x = element_text(angle = 45, hjust = 1))+
geom_hline(yintercept = x_p, color="black", linetype= "longdash") +
annotate("text", x = new$DATE[(new$pos[1] + new$pos[nrow(new)])/2], y = x_p+ttt/2.5,
label = 'bold("Peak")', colour = "black", parse=TRUE)+
geom_point(aes(x=new$DATE[max_pos],
y=new$Unique_Users[match(x_p, new$Unique_Users) ]),
shape=18, size=4)+
annotate("text", x = new$DATE[max_pos], y = (x_p)+ttt/2,
label = 'x[p]', colour = "black", parse=TRUE)
g <- g + geom_point(aes(x=new$DATE[match(xa, new$Unique_Users) ],
y=new$Unique_Users[match(xa, new$Unique_Users) ]),
shape=15, size=3)+
annotate("text", x = new$DATE[match(xa, new$Unique_Users)],
y = xa+ttt/2, label = 'x[a]', colour = "black", parse=TRUE)+
geom_point(aes(x=new$DATE[match(xb, new$Unique_Users) ],
y=new$Unique_Users[match(xb, new$Unique_Users)]),
shape=17, size=3)+
annotate("text", x = new$DATE[match(xb, new$Unique_Users)],
y = xb + ttt/2, label = 'x[b]', colour = "black", parse=TRUE) +
geom_hline(yintercept = (x_p )*L/100 , color="black",
linetype="dotted") +
annotate("text", x = new$DATE[(new$pos[1] + new$pos[nrow(new)])/2], y = (x_p*L/100)+ttt/2.5,
label = 'threshold', colour = "black", parse=TRUE)
g <- g+annotate("rect", xmin = new$DATE[match(xa, new$Unique_Users)],
xmax = new$DATE[match(xb, new$Unique_Users)],
ymin = 0, ymax = x_p,
alpha = .2) + theme(legend.position="none")
g
setwd("C:\\Users\\LOKESH TODWAL\\Desktop/")
ggsave(g, filename = paste("M12",firs,".png",sep=""))
i <- i+1
#}