# 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(dplyr)
# library(scales)
# library(treemap)

# 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

system("ls ../input")

# train <- read_csv("../input/train.csv")
#train <- train %>% sample_frac(0.001)
client <- read_csv("../input/cliente_tabla.csv")
product <- read_csv("../input/producto_tabla.csv")
town <- read_csv("../input/town_state.csv")