# 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
dtNum <- fread("../input/train_numeric.csv", select = c("Id", "Response"),nrows = 10000)
dtDate <- fread("../input/train_date.csv", nrows = 10000)


system("ls ../input")

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