Twitter Analysis of Tweets - Time Series Plots #Python #rstats #ggplot2 #plotly

TimeSeries of Actual Tweets for @IndiGo6E and @flyspicejet

#Plotly

require(plotly)

require(ggplot2)

#

ZZ <- read.csv("C:/STAT/foo.csv")

#

pp <- ggplot(ZZ, aes(x=Time_Slot, y= Count_of_Tweets, group=Tweet_Category))

pp + geom_line(aes(colour = Tweet_Category)) 

#

QQ<-ggplotly(pp+geom_line(aes(colour = Tweet_Category)))

QQ

Links to live interactive plots -- 

http://rpubs.com/rohitdhankaranalytics/Indigo_JetAirways_Spicejet_08FEB

http://rpubs.com/rohitdhankaranalytics/Indigo_and_Spicejet_01FEB

Comparison SpiceJet and IndiGo6E 

                 

                   Comparison SpiceJet and IndiGo6E