{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": "true"
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\" style=\"margin-top: 1em;\"><ul class=\"toc-item\"><li><span><a href=\"#英語学習ソフトの開発\" data-toc-modified-id=\"英語学習ソフトの開発-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>英語学習ソフトの開発</a></span></li><li><span><a href=\"#introduction\" data-toc-modified-id=\"introduction-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>introduction</a></span><ul class=\"toc-item\"><li><span><a href=\"#なぜ英語\" data-toc-modified-id=\"なぜ英語-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>なぜ英語</a></span></li><li><span><a href=\"#どこまで\" data-toc-modified-id=\"どこまで-2.2\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>どこまで</a></span></li><li><span><a href=\"#どうする\" data-toc-modified-id=\"どうする-2.3\"><span class=\"toc-item-num\">2.3&nbsp;&nbsp;</span>どうする</a></span></li></ul></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![nol](~/grad_research_2017/yuri/midterm_presentation/スライド6.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 英語学習ソフトの開発\n",
    "\n",
    "# introduction\n",
    "\n",
    "## なぜ英語\n",
    "本社では英語使用が当たり前なんで．．．\n",
    "\n",
    "## どこまで\n",
    "TOEIC 700点以上\n",
    "\n",
    "## どうする\n",
    "\n",
    "はじめ考えた欠点は，reading speedが遅いということであった．\n",
    "そこで，領域実習において学生全員でreading speedの実測を行った．\n",
    "\n",
    "\n",
    "その結果，私の順位はそれほど低くなかった．\n",
    "その後，検討の結果，単語数が圧倒的に少ないということを自覚した．\n",
    "では，「TOEIC 700点をclearするために必要な単語数は?」\n",
    "ということでGoogleと\n",
    "[TOEICで必要な語彙数](http://www.99institute.com/blog/2017/04/toeicで必要な語彙数は？あなたの今の語彙数はどれ.html)\n",
    "にあるとおり，8000語が必要ということがわかった．\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x119e509e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "member = np.array([\"yuri\", \"donkey\", \"nishitani\", \"kowaki\", \"souki\", \"fujimura\"])\n",
    "data1 = np.array([45, 45, 22, 49, 44, 70])\n",
    "plt.bar(member, data1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "matplotlibを参照して，適切なplotを作成してください．"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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