{"cells":[
 {
  "cell_type": "code",
  "execution_count": null,
  "metadata": {
   "collapsed": false
  },
  "outputs": [],
  "source": "# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages\n# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats\n# For example, here's several helpful packages to load in \n\nlibrary(needs)\n\nneeds(ggplot2,readr,dplyr,MASS)\n\n# loading train\ntrain <- read_csv(\"../input/train.csv\")\n## Checking load\nglimpse(train)\n"
 },
 {
  "cell_type": "code",
  "execution_count": null,
  "metadata": {
   "collapsed": false
  },
  "outputs": [],
  "source": "# Gaining basic understanding of the variables\nsummary(train)\n## Row ID \nlength(unique(train$row_id))\n## Accuracy\ntruehist(train$accuracy)\n## Time\ntruehist(train$time)\n## Place ID\ntruehist(table(train$place_id))\n"
 },
 {
  "cell_type": "code",
  "execution_count": null,
  "metadata": {
   "collapsed": false
  },
  "outputs": [],
  "source": ""
 }
],"metadata":{"kernelspec":{"display_name":"R","language":"R","name":"ir"}}, "nbformat": 4, "nbformat_minor": 0}