{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Case1-4: 経済指標と為替、株価の相関を確認してみる\n",
    "Correlation between economic indicator and exchange rate/stock price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-09-17T13:47:17.867245",
     "start_time": "2016-09-17T13:47:16.453178"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 日経新聞社のサイトのExcelファイルをDataFrameへ変換\n",
    "Convert Excel file @ vdata.Nikkei.com into DataFrame\n",
    "\n",
    "> * 日経新聞社 掲載指標ダッシュボード  \n",
    ">   Nikkei.com Economic Dashboard  \n",
    "> https://vdata.nikkei.com/economicdashboard/macro/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-09-17T13:47:19.129251",
     "start_time": "2016-09-17T13:47:17.870169"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Real Gross Domestic Product\n",
    "try:\n",
    "    gdp = pd.read_excel('https://vdata-stats-data.s3.amazonaws.com/xls/NA04Q.xls', index_col=0)\n",
    "except Exception:\n",
    "    gdp = pd.read_excel('data/NA04Q.xls', index_col=0)\n",
    "# Diffusion Index\n",
    "try:\n",
    "    di = pd.read_excel('https://vdata-stats-data.s3.amazonaws.com/xls/NA21M.xls', index_col=0)\n",
    "except Exception:\n",
    "    di = pd.read_excel('data/NA21M.xls', index_col=0)\n",
    "# Nikkei index\n",
    "try:\n",
    "    n225 = pd.read_excel('https://vdata-stats-data.s3.amazonaws.com/xls/NE51M.xls', index_col=0)\n",
    "except Exception:\n",
    "    n225 = pd.read_excel('data/NE51M.xls', index_col=0)\n",
    "# USD/JPY\n",
    "try:\n",
    "    usd_jpy = pd.read_excel('https://vdata-stats-data.s3.amazonaws.com/xls/NE11M.xls', index_col=0)\n",
    "except Exception:\n",
    "    usd_jpy = pd.read_excel('data/NE11M.xls', index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-09-02T10:12:44.018438",
     "start_time": "2016-09-02T10:12:44.013436"
    }
   },
   "source": [
    "## 各DataFrameを一つのDataFrameに結合\n",
    "merge each DataFrames into one DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-09-17T13:47:19.153191",
     "start_time": "2016-09-17T13:47:19.132170"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Add \"axis=1\" to merge in horizontal direction\n",
    "df = pd.concat([gdp.iloc[:, 0], di.iloc[:, 0], n225.iloc[:, 0], usd_jpy.iloc[:, 0]], axis=1)\n",
    "df.columns = ['GDP', 'DI', 'n225', 'USD/JPY']\n",
    "# remove nan value\n",
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## seabornで可視化\n",
    "visualize by seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-09-17T13:47:22.173187",
     "start_time": "2016-09-17T13:47:19.158171"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fbe7bafb1d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ud955hyYegGWM5JFLyTDUTnBh9dTIv4e6+cysGfkq9oyP094AGCcUDuv1dz6x1MF4a3sP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\nf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dGunWK1W7t2itXMdhNZPLY5Uh8Oh19JSdF/mC9J48Yly+n88Kd4zd6G4bZv1fspMzMt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\n7+rqUnNzs7xerySpublZjY2Nc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p5qa2tVWFioZcuWRR2P3x9Qb29iJVV9iG14hhJbzgAD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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbe7bafb128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 相関\n",
    "correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-09-17T13:47:22.201173",
     "start_time": "2016-09-17T13:47:22.176172"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GDP</th>\n",
       "      <th>DI</th>\n",
       "      <th>n225</th>\n",
       "      <th>USD/JPY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GDP</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.574783</td>\n",
       "      <td>0.773079</td>\n",
       "      <td>0.771475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DI</th>\n",
       "      <td>0.574783</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.380856</td>\n",
       "      <td>0.303481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>n225</th>\n",
       "      <td>0.773079</td>\n",
       "      <td>0.380856</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.985945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USD/JPY</th>\n",
       "      <td>0.771475</td>\n",
       "      <td>0.303481</td>\n",
       "      <td>0.985945</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              GDP        DI      n225   USD/JPY\n",
       "GDP      1.000000  0.574783  0.773079  0.771475\n",
       "DI       0.574783  1.000000  0.380856  0.303481\n",
       "n225     0.773079  0.380856  1.000000  0.985945\n",
       "USD/JPY  0.771475  0.303481  0.985945  1.000000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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