# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages
# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats
# For example, here's several helpful packages to load in 

library(ggplot2) # Data visualization
library(readr) # CSV file I/O, e.g. the read_csv function
library(data.table)

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory

list.files("../input")




# Any results you write to the current directory are saved as output.

phone <- fread('../input/PhoneRequestsStream.tsv')
head(phone)

phone<- phone[1:110000, ]
write.csv(phone,"phone.csv")