Skip to content

Instantly share code, notes, and snippets.

@hyeshik

hyeshik/1226 Burger Index.ipynb.json

Last active September 1, 2022 01:36
Show Gist options
  • Star 10 You must be signed in to star a gist
  • Fork 3 You must be signed in to fork a gist
  • Save hyeshik/cf9f3d7686e07eedbfda to your computer and use it in GitHub Desktop.
Save hyeshik/cf9f3d7686e07eedbfda to your computer and use it in GitHub Desktop.
Download ZIP
An IPython notebook for analysis of the distributions of fast-food hamburger shops.
Raw
1226 Burger Index.ipynb.json
This file has been truncated, but you can view the full file.
{
"metadata": {
"name": "",
"signature": "sha256:f99925a6f73a1e36bc91415d84266705e3bdf72304d8dba7bcfb6c94ca7b270a"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# \"\ubc84\uac70 \uc9c0\uc218\"\ub294 \uc9c4\uc9dc \ub3c4\uc2dc\uc758 \ubc1c\uc804 \uc218\uc900\uc744 \ubc18\uc601\ud560\uae4c?\n",
"by Hyeshik on Dec 26, 2014\n",
"\n",
"2015\ub144 1\uc6d4 26\uc77c 1\ucc28 \uac1c\uc815"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ubc10\ud3ed\ub3c4 @Godtsune_miku\n",
"\n",
"\"\ud55c \ub3c4\uc2dc\uc758 \ubc1c\uc804 \uc218\uc900\uc740 (\ubc84\uac70\ud0b9\uc758 \uac1c\uc218+\ub9e5\ub3c4\ub0a0\ub4dc\uc758 \uac1c\uc218+KFC\uc758 \uac1c\uc218)/\ub86f\ub370\ub9ac\uc544\uc758 \uac1c\uc218\ub97c \uacc4\uc0b0\ud558\uc5ec \ub192\uac8c \ub098\uc62c\uc218\ub85d \ub354 \ubc1c\uc804\ub41c \ub3c4\uc2dc\ub77c\uace0 \ud560 \uc218 \uc788\ub2e4\"\n",
"\n",
"https://twitter.com/godtsune_miku/status/513648274406789120\n",
"\n",
"\uc0ac\ub78c\uc774 \uc801\uc740 \uacf3\uc77c \uc218\ub85d \ub86f\ub370\ub9ac\uc544\uc758 \uac1c\uc218\uac00 \ub9ce\uc740 \uac83 \uac19\uae34 \ud55c\ub370.. \uc9c4\uc9dc\ub85c \uadf8\ub7f4\ub824\ub098?\n",
"\n",
"\uc790 \uadf8\ub7fc..\n",
"\n",
"$\\xi=\\frac {B+M+K} {L}$\n",
"\uc744 \uacc4\uc0b0\ud574 \ubcf4\uc790. \uc2dc\uad70\uad6c \ub2e8\uc704\ub85c. ($\\xi$\ub294 \ubc84\uac70\uc758 \uc606\ubaa8\uc2b5\uc744 \ub2ee\uc544\uc11c..\u314b)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\uc77c\ub2e8 \uc900\ube44~"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import urllib.request\n",
"import json\n",
"import pandas as pd\n",
"import bs4"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \ubc84\uac70\ud0b9 \ub9e4\uc7a5 \ub370\uc774\ud130\ub97c \ubc1b\uc544\uc640\uc11c \ubd84\uc11d\ud55c\ub2e4."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc544\uc8fc \uc4f0\uae30 \uc88b\uac8c JSON\uc73c\ub85c \ub531 \uc81c\uacf5\ud574 \uc900\ub2e4. \ub9cc\uc138 '\u3141'/"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"response = urllib.request.urlopen('http://www.burgerking.co.kr/api/store/searchmap/empty/?areacd=')\n",
"bgk_data = json.loads(response.read().decode('utf-8'))\n",
"bgk_tbl = pd.DataFrame(bgk_data)\n",
"bgk_tbl.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>AllHour</th>\n",
" <th>CloseCleaning</th>\n",
" <th>ClosePeakSeason</th>\n",
" <th>CloseWeekday</th>\n",
" <th>Delivery</th>\n",
" <th>DriveThrough</th>\n",
" <th>Morning</th>\n",
" <th>NewAddr</th>\n",
" <th>NewAddr2</th>\n",
" <th>OpenTime</th>\n",
" <th>PhoneNumber</th>\n",
" <th>PointX</th>\n",
" <th>PointY</th>\n",
" <th>StoreNM</th>\n",
" <th>StoreSQ</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> N</td>\n",
" <td> </td>\n",
" <td> </td>\n",
" <td> 22:00</td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uae08\ucc9c\uad6c \uac00\uc0b0\ub514\uc9c0\ud1381\ub85c </td>\n",
" <td> 168 \uc6b0\ub9bc\ub77c\uc774\uc628\uc2a4\ubc38\ub9ac A\ub3d9</td>\n",
" <td> 9:00</td>\n",
" <td> 02-853-0332</td>\n",
" <td> 37.479965</td>\n",
" <td> 126.882637</td>\n",
" <td> \uac00\uc0b0\ub514\uc9c0\ud138\uc810</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> N</td>\n",
" <td> </td>\n",
" <td> / \uae08, \ud1a0: 11:00~24:00</td>\n",
" <td> 22:30</td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uae08\ucc9c\uad6c \ub514\uc9c0\ud138\ub85c </td>\n",
" <td> 10\uae38 9 \ud604\ub300\uc544\uc6b8\ub81b 6\uce35</td>\n",
" <td> 11:00</td>\n",
" <td> 02-2136-9962</td>\n",
" <td> 37.477620</td>\n",
" <td> 126.889053</td>\n",
" <td> \uac00\uc0b0\ud604\ub300\uc544\uc6b8\ub81b\uc810</td>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> N</td>\n",
" <td> </td>\n",
" <td> </td>\n",
" <td> 23:30</td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\uc11c\uad6c \uc591\ucc9c\ub85c</td>\n",
" <td> 559 \uc774\ub9c8\ud2b83\uce35 (\uac00\uc591\ub3d9)</td>\n",
" <td> 10:00</td>\n",
" <td> 02-3664-0221</td>\n",
" <td> 37.558193</td>\n",
" <td> 126.861816</td>\n",
" <td> \uac00\uc591\uc774\ub9c8\ud2b8\uc810</td>\n",
" <td> 3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> Y</td>\n",
" <td> \uc14b\uc9f8\uc8fc \uc6d4\uc694\uc77c 02:00~08:00 Close</td>\n",
" <td> </td>\n",
" <td> </td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> Y</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc7a0\uc6d0\ub85c</td>\n",
" <td> 69</td>\n",
" <td> </td>\n",
" <td> 02-595-9042</td>\n",
" <td> 37.509400</td>\n",
" <td> 127.007309</td>\n",
" <td> \uac15\ub0a8NC\uc810</td>\n",
" <td> 11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> Y</td>\n",
" <td> \ub458\uc9f8\uc8fc \uc6d4\uc694\uc77c 02:00~08:00 Close</td>\n",
" <td> </td>\n",
" <td> </td>\n",
" <td> N</td>\n",
" <td> N</td>\n",
" <td> Y</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc0ac\ud3c9\ub300\ub85c </td>\n",
" <td> 371 \uc601\ud48d\ube4c\ub5291\uce35 (\ubc18\ud3ec\ub3d9)</td>\n",
" <td> </td>\n",
" <td> 02-517-0236</td>\n",
" <td> 37.504570</td>\n",
" <td> 127.023590</td>\n",
" <td> \uac15\ub0a8\uad50\ubcf4\uc810</td>\n",
" <td> 4</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 2,
"text": [
" AllHour CloseCleaning ClosePeakSeason CloseWeekday \\\n",
"0 N 22:00 \n",
"1 N / \uae08, \ud1a0: 11:00~24:00 22:30 \n",
"2 N 23:30 \n",
"3 Y \uc14b\uc9f8\uc8fc \uc6d4\uc694\uc77c 02:00~08:00 Close \n",
"4 Y \ub458\uc9f8\uc8fc \uc6d4\uc694\uc77c 02:00~08:00 Close \n",
"\n",
" Delivery DriveThrough Morning NewAddr NewAddr2 \\\n",
"0 N N N \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uae08\ucc9c\uad6c \uac00\uc0b0\ub514\uc9c0\ud1381\ub85c 168 \uc6b0\ub9bc\ub77c\uc774\uc628\uc2a4\ubc38\ub9ac A\ub3d9 \n",
"1 N N N \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uae08\ucc9c\uad6c \ub514\uc9c0\ud138\ub85c 10\uae38 9 \ud604\ub300\uc544\uc6b8\ub81b 6\uce35 \n",
"2 N N N \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\uc11c\uad6c \uc591\ucc9c\ub85c 559 \uc774\ub9c8\ud2b83\uce35 (\uac00\uc591\ub3d9) \n",
"3 N N Y \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc7a0\uc6d0\ub85c 69 \n",
"4 N N Y \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc0ac\ud3c9\ub300\ub85c 371 \uc601\ud48d\ube4c\ub5291\uce35 (\ubc18\ud3ec\ub3d9) \n",
"\n",
" OpenTime PhoneNumber PointX PointY StoreNM StoreSQ \n",
"0 9:00 02-853-0332 37.479965 126.882637 \uac00\uc0b0\ub514\uc9c0\ud138\uc810 1 \n",
"1 11:00 02-2136-9962 37.477620 126.889053 \uac00\uc0b0\ud604\ub300\uc544\uc6b8\ub81b\uc810 2 \n",
"2 10:00 02-3664-0221 37.558193 126.861816 \uac00\uc591\uc774\ub9c8\ud2b8\uc810 3 \n",
"3 02-595-9042 37.509400 127.007309 \uac15\ub0a8NC\uc810 11 \n",
"4 02-517-0236 37.504570 127.023590 \uac15\ub0a8\uad50\ubcf4\uc810 4 "
]
}
],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub2e4\ub978 \uac74 \uadf8\ub2e5 \ud544\uc694 \uc5c6\uace0, \uc8fc\uc18c\ub9cc \uad6c\ub2e8\uc704\uae4c\uc9c0 \ucd94\ub9b0\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgk_locs = pd.DataFrame(bgk_tbl['NewAddr'].apply(lambda v: v.split()[:2]).tolist(),\n",
" columns=('d1', 'd2'))\n",
"bgk_locs.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uae08\ucc9c\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uae08\ucc9c\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\uc11c\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ucd08\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ucd08\uad6c</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": [
" d1 d2\n",
"0 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uae08\ucc9c\uad6c\n",
"1 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uae08\ucc9c\uad6c\n",
"2 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\uc11c\uad6c\n",
"3 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c\n",
"4 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uad11\uc5ed\ub2e8\uccb4 \uc774\ub984\uc774 \uc81c\ub300\ub85c \ub3fc \uc788\ub098 \ud655\uc778."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgk_locs['d1'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": [
"array(['\uc11c\uc6b8\ud2b9\ubcc4\uc2dc', '\uc11c\uc6b8\uc2dc', '\uacbd\uae30\ub3c4', '\uc218\uc6d0\uc2dc', '\uc778\ucc9c\uad11\uc5ed\uc2dc', '\uac15\uc6d0\ub3c4', '\ucda9\uccad\ub0a8\ub3c4', '\ucda9\ub0a8', '\ub300\uc804\uad11\uc5ed\uc2dc',\n",
" '\ucda9\uccad\ubd81\ub3c4', '\ubd80\uc0b0\uad11\uc5ed\uc2dc', '\uc6b8\uc0b0\uad11\uc5ed\uc2dc', '\ub300\uad6c\uad11\uc5ed\uc2dc', '\uacbd\ubd81', '\uacbd\uc0c1\ubd81\ub3c4', '\uacbd\ub0a8', '\uacbd\uc0c1\ub0a8\ub3c4',\n",
" '\uc804\ub77c\ub0a8\ub3c4', '\uc804\ub0a8', '\uad11\uc8fc\uad11\uc5ed\uc2dc', '\uad11\uc8fc\uc2dc', '\uc804\ub77c\ubd81\ub3c4', '\uc804\ubd81', '\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4'], dtype=object)"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc904\uc5ec \uc4f4 \uc774\ub984\ub4e4\uc740 \ud480\uc5b4 \uc368\uc900\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d1_aliases = \"\"\"\uc11c\uc6b8\uc2dc:\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ucda9\ub0a8:\ucda9\uccad\ub0a8\ub3c4 \uac15\uc6d0:\uac15\uc6d0\ub3c4 \uacbd\uae30:\uacbd\uae30\ub3c4 \ucda9\ubd81:\ucda9\uccad\ubd81\ub3c4 \uacbd\ub0a8:\uacbd\uc0c1\ub0a8\ub3c4 \uacbd\ubd81:\uacbd\uc0c1\ubd81\ub3c4\n",
"\uc804\ub0a8:\uc804\ub77c\ub0a8\ub3c4 \uc804\ubd81:\uc804\ub77c\ubd81\ub3c4 \uc81c\uc8fc\ub3c4:\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4 \uc81c\uc8fc:\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4 \ub300\uc804\uc2dc:\ub300\uc804\uad11\uc5ed\uc2dc \ub300\uad6c\uc2dc:\ub300\uad6c\uad11\uc5ed\uc2dc \uc778\ucc9c\uc2dc:\uc778\ucc9c\uad11\uc5ed\uc2dc\n",
"\uad11\uc8fc\uc2dc:\uad11\uc8fc\uad11\uc5ed\uc2dc \uc6b8\uc0b0\uc2dc:\uc6b8\uc0b0\uad11\uc5ed\uc2dc\"\"\"\n",
"d1_aliases = dict(aliasset.split(':') for aliasset in d1_aliases.split())\n",
"bgk_locs['d1'] = bgk_locs['d1'].apply(lambda v: d1_aliases.get(v, v))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgk_locs['d1'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"array(['\uc11c\uc6b8\ud2b9\ubcc4\uc2dc', '\uacbd\uae30\ub3c4', '\uc218\uc6d0\uc2dc', '\uc778\ucc9c\uad11\uc5ed\uc2dc', '\uac15\uc6d0\ub3c4', '\ucda9\uccad\ub0a8\ub3c4', '\ub300\uc804\uad11\uc5ed\uc2dc', '\ucda9\uccad\ubd81\ub3c4',\n",
" '\ubd80\uc0b0\uad11\uc5ed\uc2dc', '\uc6b8\uc0b0\uad11\uc5ed\uc2dc', '\ub300\uad6c\uad11\uc5ed\uc2dc', '\uacbd\uc0c1\ubd81\ub3c4', '\uacbd\uc0c1\ub0a8\ub3c4', '\uc804\ub77c\ub0a8\ub3c4', '\uad11\uc8fc\uad11\uc5ed\uc2dc', '\uc804\ub77c\ubd81\ub3c4',\n",
" '\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4'], dtype=object)"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"..! **\uc218\uc6d0\uc2dc**\uac00 \uc788\ub2e4. =.= \uace0\uce58\uc790.."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgk_locs[bgk_locs['d1'] == '\uc218\uc6d0\uc2dc']"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>101</th>\n",
" <td> \uc218\uc6d0\uc2dc</td>\n",
" <td> \uc601\ud1b5\uad6c</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
" d1 d2\n",
"101 \uc218\uc6d0\uc2dc \uc601\ud1b5\uad6c"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgk_locs.iloc[101] = ['\uacbd\uae30\ub3c4', '\uc218\uc6d0\uc2dc']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc2dc\uad70\uad6c \ub2e8\uc704\ub294 \uc81c\ub300\ub85c \ub3fc \uc788\ub098 \ubcf4\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgk_locs['d2'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": [
"array(['\uae08\ucc9c\uad6c', '\uac15\uc11c\uad6c', '\uc11c\ucd08\uad6c', '\uac15\ub0a8\uad6c', '\uad11\uc9c4\uad6c', '\uad00\uc545\uad6c', '\uad6c\ub85c\uad6c', '\uc6a9\uc0b0\uad6c', '\ub3d9\uc791\uad6c',\n",
" '\uc601\ub4f1\ud3ec\uad6c', '\uc911\uad6c', '\uac15\ub3d9\uad6c', '\uc591\ucc9c\uad6c', '\uc1a1\ud30c\uad6c', '\uc131\ubd81\uad6c', '\uc740\ud3c9\uad6c', '\ub9c8\ud3ec\uad6c', '\uc11c\ub300\ubb38\uad6c',\n",
" '\ub3c4\ubd09\uad6c', '\uc885\ub85c\uad6c', '\uc911\ub791\uad6c', '\ub3d9\ub300\ubb38\uad6c', '\uacfc\ucc9c\uc2dc', '\uad11\uba85\uc2dc', '\uad11\uc8fc\uc2dc', '\ud30c\uc8fc\uc2dc', '\ubd80\ucc9c\uc2dc',\n",
" '\uc131\ub0a8\uc2dc', '\uad70\ud3ec\uc2dc', '\uc218\uc6d0\uc2dc', '\uc6a9\uc778\uc2dc', '\uc548\uc0b0\uc2dc', '\uc5ec\uc8fc\uad70', '\uc624\uc0b0\uc2dc', '\uc758\uc815\ubd80\uc2dc', '\uc774\ucc9c\uc2dc',\n",
" '\uace0\uc591\uc2dc', '\uc548\uc591\uc2dc', '\ud558\ub0a8\uc2dc', '\ub0a8\uad6c', '\ubd80\ud3c9\uad6c', '\uc5f0\uc218\uad6c', '\uacc4\uc591\uad6c', '\ud64d\ucc9c\uad70', '\uc6d0\uc8fc\uc2dc', '\ub2f9\uc9c4\uc2dc',\n",
" '\uc544\uc0b0\uc2dc', '\ucc9c\uc548\uc2dc', '\uc11c\uad6c', '\uc720\uc131\uad6c', '\uccad\uc8fc\uc2dc', '\uccad\uc6d0\uad70', '\ub3d9\uad6c', '\ubd80\uc0b0\uc9c4\uad6c', '\ud574\uc6b4\ub300\uad6c',\n",
" '\uc218\uc131\uad6c', '\ub2ec\uc11c\uad6c', '\ubd81\uad6c', '\uc0c1\uc8fc\uc2dc', '\uacbd\uc0b0\uc2dc', '\uad6c\ubbf8\uc2dc', '\uc548\ub3d9\uc2dc', '\ud3ec\ud56d\uc2dc', '\uac70\uc81c\uc2dc', '\ucc3d\uc6d0\uc2dc',\n",
" '\uae40\ud574\uc2dc', '\uc9c4\uc8fc\uc2dc', '\uc21c\ucc9c\uc2dc', '\uc5ec\uc218\uc2dc', '\ubb34\uc548\uad70', '\uad11\uc0b0\uad6c', '\uad70\uc0b0\uc2dc', '\uc775\uc0b0\uc2dc', '\uc804\uc8fc\uc2dc', '\uc81c\uc8fc\uc2dc'], dtype=object)"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc624\uc624\ucf00\uc774. \ub300\ucda9 \uc798 \ub3fc \uc788\uad70~"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"B = bgk_locs.apply(lambda r: r['d1'] + ' ' + r['d2'], axis=1).value_counts()\n",
"B.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 20\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 10\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc1a1\ud30c\uad6c 7\n",
"\uacbd\uae30\ub3c4 \uc218\uc6d0\uc2dc 7\n",
"\uacbd\uae30\ub3c4 \uc131\ub0a8\uc2dc 7\n",
"dtype: int64"
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"B \uacc4\uc0b0\uc774 \ub05d\ub0ac\ub2e4."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \ub9e5\ub3c4\ub0a0\ub4dc \ub9e4\uc7a5 \ub370\uc774\ud130\ub97c \ubc1b\uc544\uc640\uc11c \ubd84\uc11d\ud55c\ub2e4."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub9e5\ub3c4\ub0a0\ub4dc\ub294 JSON\uc740 \ub530\ub85c \uc5c6\uace0 \uadf8\ub0e5 HTML \ud30c\uc2f1\uc744 \ud574\uc57c\ud55c\ub2e4. \uc5ec\ub7ec \ubc88 \uac80\uc0c9\ud55c \uac83\uc744 \ud569\uce58\uba74 \uacb9\uce60 \uc218 \uc788\uc73c\ub2c8\uae4c \uc810\ud3ec \uc774\ub984\ub3c4 \uac19\uc774 \ubaa8\uc544\uc11c \uc911\ucca9 \uac80\uc0ac\ub97c \ud55c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"MCDONALDS_URL = 'http://www.mcdonalds.co.kr/www/kor/findus/district.do?sSearch_yn=Y&skey=2&pageIndex={page}&skeyword={location}'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def search_mcdonalds_stores_one_page(location, page):\n",
" response = urllib.request.urlopen(\n",
" MCDONALDS_URL.format(location=urllib.parse.quote(location.encode('utf-8')), page=page))\n",
" mcd_data = response.read().decode('utf-8')\n",
" soup = bs4.BeautifulSoup(mcd_data)\n",
" \n",
" ret = []\n",
" for storetag in soup.findAll('dl', attrs={'class': 'clearFix'}):\n",
" storename = storetag.findAll('a')[0].contents[-1].strip()\n",
" storeaddr = storetag.findAll('dd', attrs={'class': 'road'})[0].contents[0].split(']')[1]\n",
" storeaddr_district = storeaddr.split()[:2]\n",
" ret.append([storename] + storeaddr_district)\n",
"\n",
" return pd.DataFrame(ret, columns=('store', 'd1', 'd2')) if ret else None\n",
"\n",
"# \uc5ec\ub7ec \ud398\uc774\uc9c0\ub97c \ucb49 \ucc3e\uc544\uc11c \uc548 \ub098\uc62c \ub54c \uae4c\uc9c0 \ud569\uce5c\ub2e4.\n",
"def search_mcdonalds_stores(location):\n",
" from itertools import count\n",
" \n",
" found = []\n",
" for pg in count():\n",
" foundinpage = search_mcdonalds_stores_one_page(location, pg+1)\n",
" if foundinpage is None:\n",
" break\n",
" found.append(foundinpage)\n",
"\n",
" return pd.concat(found)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"search_mcdonalds_stores('\uc804\ub77c\ubd81\ub3c4').head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>store</th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> \uad70\uc0b0 \ub098\uc6b4DT\uc810</td>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uad70\uc0b0\uc2dc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> \uc774\ub9c8\ud2b8 \uad70\uc0b0\uc810</td>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uad70\uc0b0\uc2dc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> \uc775\uc0b0\uc601\ub4f1DT\uc810</td>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uc775\uc0b0\uc2dc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> \uc775\uc0b0\uc6d0\uad11\ub300\uc810</td>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uc775\uc0b0\uc2dc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> \uc804\uc8fc\ub355\uc9c4DT\uc810</td>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uc804\uc8fc\uc2dc</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": [
" store d1 d2\n",
"0 \uad70\uc0b0 \ub098\uc6b4DT\uc810 \uc804\ub77c\ubd81\ub3c4 \uad70\uc0b0\uc2dc\n",
"1 \uc774\ub9c8\ud2b8 \uad70\uc0b0\uc810 \uc804\ub77c\ubd81\ub3c4 \uad70\uc0b0\uc2dc\n",
"2 \uc775\uc0b0\uc601\ub4f1DT\uc810 \uc804\ub77c\ubd81\ub3c4 \uc775\uc0b0\uc2dc\n",
"3 \uc775\uc0b0\uc6d0\uad11\ub300\uc810 \uc804\ub77c\ubd81\ub3c4 \uc775\uc0b0\uc2dc\n",
"4 \uc804\uc8fc\ub355\uc9c4DT\uc810 \uc804\ub77c\ubd81\ub3c4 \uc804\uc8fc\uc2dc"
]
}
],
"prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc774\uc81c \uc804\uccb4 \uc9c0\uc5ed\uc5d0 \ub300\ud574\uc11c \ucc3e\uc544\uc11c \ubaa8\ub450 \ud569\uce68. \uc2dc\ub3c4\uba85\uc740 \ubc84\uac70\ud0b9 \ubaa9\ub85d\uc744 \uc774\uc6a9."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"found = []\n",
"for distr in bgk_locs['d1'].unique():\n",
" found.append(search_mcdonalds_stores(distr))\n",
"mcd_tbl = pd.concat(found)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"mcd_tbl['store'].value_counts().head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
"\uc591\uc8fc\ud734\uac8c\uc18cDT 2\n",
"\uac00\uc0b0\ub514\uc9c0\ud138\uc810 1\n",
"\ub300\uad6c\ud76c\ub9ddDT\uc810 1\n",
"\ub300\ub3d9\uc810 1\n",
"\uc591\uc7acSK DT\uc810 1\n",
"dtype: int64"
]
}
],
"prompt_number": 16
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc591\uc8fc\ud734\uac8c\uc18cDT\uac00 \ub450 \ubc88 \ub4e4\uc5b4\uac00 \uc788\ub2e4. (\uc9c0\ub3c4 \ud655\uc778\ud574 \ubcf4\uba74 \uc644\uc804\ud788 \uac19\uc740 \uc704\uce58\uc5d0 \uc788\uc74c) \uc81c\uac70\ud558\uc790.!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"mcd_tbl = mcd_tbl.drop_duplicates(subset=['store'])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"M = mcd_tbl.apply(lambda r: r['d1'] + ' ' + r['d2'], axis=1).value_counts()\n",
"M.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
"\uacbd\uae30\ub3c4 \uc218\uc6d0\uc2dc 13\n",
"\uacbd\uc0c1\ub0a8\ub3c4 \ucc3d\uc6d0\uc2dc 12\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 12\n",
"\ub300\uad6c\uad11\uc5ed\uc2dc \ub2ec\uc11c\uad6c 9\n",
"\uacbd\uae30\ub3c4 \uace0\uc591\uc2dc 9\n",
"dtype: int64"
]
}
],
"prompt_number": 18
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc624! \ubc84\uac70\ud0b9\uacfc \ub2ec\ub9ac \ub9e5\ub3c4\ub0a0\ub4dc\ub294 \uc218\uc6d0\uc774 \uac00\uc7a5 \ub9ce\ub2e4. \ucc3d\uc6d0\ub3c4 \ub208\uc5d0 \ub744\uac8c \ub9ce\ub2e4."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## KFC \ub9e4\uc7a5 \ub370\uc774\ud130\ub97c \ubc1b\uc544\uc640\uc11c \ubd84\uc11d\ud55c\ub2e4.\n",
"KFC\ub294 \uc2dc\ub3c4\ub97c \uba3c\uc800 \uc120\ud0dd\ud558\uace0 \uad70\uad6c\ub97c \uc120\ud0dd\ud574\uc11c \uac80\uc0c9\ud55c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"kfc_dists = \"\uac15\uc6d0 \uacbd\uae30 \uacbd\ub0a8 \uacbd\ubd81 \uad11\uc8fc \ub300\uad6c \ub300\uc804 \ubd80\uc0b0 \uc11c\uc6b8 \uc6b8\uc0b0 \uc778\ucc9c \uc804\ub0a8 \uc804\ubd81 \uc81c\uc8fc \ucda9\ub0a8 \ucda9\ubd81\".split()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"KFC_DISTSEARCH_URL = 'http://www.kfckorea.com/store/store_addr_search.asp?addr_div=gugun&sido={location}'\n",
"\n",
"def kfc_search_subdists(location):\n",
" response = urllib.request.urlopen(\n",
" KFC_DISTSEARCH_URL.format(location=urllib.parse.quote(location.encode('utf-8'))))\n",
" kfc_data = response.read().decode('utf-8')\n",
" soup = bs4.BeautifulSoup(kfc_data)\n",
" return list(filter(None, [tag.attrs['value'] for tag in soup.findAll('option')]))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"kfc_alldist = [(d, subd) for d in kfc_dists for subd in kfc_search_subdists(d)]\n",
"kfc_alldist[:5], len(kfc_alldist)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
"([('\uac15\uc6d0', '\uac15\ub989\uc2dc'), ('\uac15\uc6d0', '\uace0\uc131\uad70'), ('\uac15\uc6d0', '\ub3d9\ud574\uc2dc'), ('\uac15\uc6d0', '\uc0bc\ucc99\uc2dc'), ('\uac15\uc6d0', '\uc18d\ucd08\uc2dc')],\n",
" 251)"
]
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub2e4\ud589\ud788\ub3c4 \uadf8 \ub2e4\uc74c \uac80\uc0c9\uc740 JSON \ub9ac\ud134\uc774\ub2e4! 'o'/"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"KFC_STORESEARCH_URL = ('http://www.kfckorea.com/store/store_search.asp?sales_24_yn_=&'\n",
" 'sales_wifi_yn_=&sales_order_group_yn_=&sales_park_yn_=&sales_subway_yn_=&'\n",
" 'sales_mart_in_yn_=&searchFlag=0&addr_div1={div1}&addr_div2={div2}&keyword=')\n",
"\n",
"def kfc_search_stores_in_dist(d1, d2):\n",
" response = urllib.request.urlopen(\n",
" KFC_STORESEARCH_URL.format(div1=urllib.parse.quote(d1.encode('utf-8')),\n",
" div2=urllib.parse.quote(d2.encode('utf-8'))))\n",
" return json.loads(response.read().decode('utf-8'))['store']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"found = []\n",
"for d1, d2 in kfc_alldist:\n",
" found.extend(kfc_search_stores_in_dist(d1, d2))\n",
"kfc_tbl = pd.DataFrame(found)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"kfc_tbl.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>addr_div1</th>\n",
" <th>addr_div2</th>\n",
" <th>clean_day</th>\n",
" <th>map_url1</th>\n",
" <th>map_url2</th>\n",
" <th>new_addr1</th>\n",
" <th>old_addr1</th>\n",
" <th>phone</th>\n",
" <th>post_no</th>\n",
" <th>sales_time</th>\n",
" <th>shop_code</th>\n",
" <th>shop_location</th>\n",
" <th>shop_name</th>\n",
" <th>shop_seq</th>\n",
" <th>shop_use_div</th>\n",
" <th>use_area</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> </td>\n",
" <td> 37.76419798981757</td>\n",
" <td> 128.87763186572403</td>\n",
" <td> \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc \uc194\uc62c\ub85c 25 \ud604\uc9c4\ube4c\ub529 1\uce35 (\uad50\ub3d9)</td>\n",
" <td> \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc \uad50\ub3d9 1882-3 \ud604\uc9c4\ube4c\ub529 1\uce35</td>\n",
" <td> 033)642-6332</td>\n",
" <td> 210-100</td>\n",
" <td> 10:00 ~ 22:00</td>\n",
" <td> 1410723</td>\n",
" <td> \uad50\ub3d9\uc8fc\uacf5 3\ub2e8\uc9c0 308\ub3d9 \uc606</td>\n",
" <td> \uac15\ub989\uad50\ub3d9</td>\n",
" <td> 162</td>\n",
" <td> Y</td>\n",
" <td> A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> </td>\n",
" <td> 37.52217245343172</td>\n",
" <td> 129.11533830315352</td>\n",
" <td> \uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc \ud55c\uc12c\ub85c 111-7, \ud604\uc9c4\ub86f\ub370\uc2dc\ub124\ub9c8\ud0c0\uc6b4107\ud638~108\ud638 (\ucc9c\uace1\ub3d9)</td>\n",
" <td> \uac15\uc6d0 \ub3d9\ud574\uc2dc \ucc9c\uace1\ub3d9 863\ubc88\uc9c0 \ud604\uc9c4\ub86f\ub370\uc2dc\ub124\ub9c8\ud0c0\uc6b4 107\ud638~108\ud638</td>\n",
" <td> 033)531-4956</td>\n",
" <td> 240-812</td>\n",
" <td> 10:00 ~ 21:30</td>\n",
" <td> 1410680</td>\n",
" <td> \uc2dc\uccad\ub85c\ud130\ub9ac \ub86f\ub370\uc2dc\ub124\ub9c8 1\uce35</td>\n",
" <td> \ub3d9\ud574</td>\n",
" <td> 8</td>\n",
" <td> Y</td>\n",
" <td> A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> 10:00~22:00</td>\n",
" <td> 37.2039550</td>\n",
" <td> 128.8370300</td>\n",
" <td> \uac15\uc6d0\ub3c4 \uace0\ud55c\uc74d \uace0\ud55c\ub9ac \uc0b0289-6 \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 \ubc38\ub9ac\uc2a4\ud0a4 \ud558\uc6b0\uc2a4</td>\n",
" <td> \uac15\uc6d0 \uc815\uc120\uad70 \uace0\ud55c\uc74d \uace0\ud55c\ub9ac \uc0b0289-6 \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 \ubc38\ub9ac\uc2a4\ud0a4 \ud558\uc6b0\uc2a4 3\uce35</td>\n",
" <td> 033)591-9749</td>\n",
" <td> 233-901</td>\n",
" <td> 10:00~22:00 (11\uc6d4 23 \uc77c \uac1c\uc810, \uaca8\uc6b8\uc2dc\uc98c \uc601\uc5c5\uc911)</td>\n",
" <td> 1410696</td>\n",
" <td> \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 \ubca8\ub9ac\uc2a4\ud0a4\ud558\uc6b0\uc2a4 3\uce35</td>\n",
" <td> \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8</td>\n",
" <td> 29</td>\n",
" <td> Y</td>\n",
" <td> A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> </td>\n",
" <td> 37.863814444176135</td>\n",
" <td> 127.71834104991627</td>\n",
" <td> \uac15\uc6d0\ub3c4 \ucd98\ucc9c\uc2dc \uacbd\ucd98\ub85c 2341 \uc774\ub9c8\ud2b8 \ucd98\ucc9c\uc810 1\uce35 \ud478\ub4dc\ucf54\ud2b8 \u5167</td>\n",
" <td> \uac15\uc6d0\ub3c4 \ucd98\ucc9c\uc2dc \uc628\uc758\ub3d9 511\ubc88\uc9c0 \uc774\ub9c8\ud2b8 \ucd98\ucc9c\uc810 1\uce35 \ud478\ub4dc\ucf54\ud2b8 \u5167</td>\n",
" <td> 033)252-3369</td>\n",
" <td> 200-938 </td>\n",
" <td> 10:00~22:00</td>\n",
" <td> 1410714</td>\n",
" <td> \uc774\ub9c8\ud2b8 \ucd98\ucc9c\uc810 1\uce35 \ud478\ub4dc\ucf54\ud2b8 \ub0b4</td>\n",
" <td> \ucd98\ucc9c\uc774\ub9c8\ud2b8</td>\n",
" <td> 152</td>\n",
" <td> Y</td>\n",
" <td> A</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> \uac15\uc6d0</td>\n",
" <td> </td>\n",
" <td> 37.87899033651872</td>\n",
" <td> 127.72646272309694</td>\n",
" <td> \uac15\uc6d0\ub3c4 \ucd98\ucc9c\uc2dc \uc911\uc559\ub85c67\ubc88\uae38 4 (\uc911\uc559\ub85c2\uac00)</td>\n",
" <td> \uac15\uc6d0 \ucd98\ucc9c\uc2dc \uc911\uc559\ub85c2\uac00 31</td>\n",
" <td> 033)243-9646</td>\n",
" <td> 200-042</td>\n",
" <td> (\uc8fc\uc911) 11:00~21:00 / (\uc8fc\ub9d0) 10:00~22:00</td>\n",
" <td> 1410621</td>\n",
" <td> \uba85\ub3d9 \ub2ed\uac08\ube44\uace8\ubaa9 \uc778\uadfc \uad6d\ubbfc\uc740\ud589 \ub9de\uc740\ud3b8</td>\n",
" <td> \ucd98\ucc9c1</td>\n",
" <td> 95</td>\n",
" <td> Y</td>\n",
" <td> A</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 24,
"text": [
" addr_div1 addr_div2 clean_day map_url1 map_url2 \\\n",
"0 \uac15\uc6d0 \uac15\uc6d0 37.76419798981757 128.87763186572403 \n",
"1 \uac15\uc6d0 \uac15\uc6d0 37.52217245343172 129.11533830315352 \n",
"2 \uac15\uc6d0 \uac15\uc6d0 10:00~22:00 37.2039550 128.8370300 \n",
"3 \uac15\uc6d0 \uac15\uc6d0 37.863814444176135 127.71834104991627 \n",
"4 \uac15\uc6d0 \uac15\uc6d0 37.87899033651872 127.72646272309694 \n",
"\n",
" new_addr1 \\\n",
"0 \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc \uc194\uc62c\ub85c 25 \ud604\uc9c4\ube4c\ub529 1\uce35 (\uad50\ub3d9) \n",
"1 \uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc \ud55c\uc12c\ub85c 111-7, \ud604\uc9c4\ub86f\ub370\uc2dc\ub124\ub9c8\ud0c0\uc6b4107\ud638~108\ud638 (\ucc9c\uace1\ub3d9) \n",
"2 \uac15\uc6d0\ub3c4 \uace0\ud55c\uc74d \uace0\ud55c\ub9ac \uc0b0289-6 \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 \ubc38\ub9ac\uc2a4\ud0a4 \ud558\uc6b0\uc2a4 \n",
"3 \uac15\uc6d0\ub3c4 \ucd98\ucc9c\uc2dc \uacbd\ucd98\ub85c 2341 \uc774\ub9c8\ud2b8 \ucd98\ucc9c\uc810 1\uce35 \ud478\ub4dc\ucf54\ud2b8 \u5167 \n",
"4 \uac15\uc6d0\ub3c4 \ucd98\ucc9c\uc2dc \uc911\uc559\ub85c67\ubc88\uae38 4 (\uc911\uc559\ub85c2\uac00) \n",
"\n",
" old_addr1 phone post_no \\\n",
"0 \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc \uad50\ub3d9 1882-3 \ud604\uc9c4\ube4c\ub529 1\uce35 033)642-6332 210-100 \n",
"1 \uac15\uc6d0 \ub3d9\ud574\uc2dc \ucc9c\uace1\ub3d9 863\ubc88\uc9c0 \ud604\uc9c4\ub86f\ub370\uc2dc\ub124\ub9c8\ud0c0\uc6b4 107\ud638~108\ud638 033)531-4956 240-812 \n",
"2 \uac15\uc6d0 \uc815\uc120\uad70 \uace0\ud55c\uc74d \uace0\ud55c\ub9ac \uc0b0289-6 \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 \ubc38\ub9ac\uc2a4\ud0a4 \ud558\uc6b0\uc2a4 3\uce35 033)591-9749 233-901 \n",
"3 \uac15\uc6d0\ub3c4 \ucd98\ucc9c\uc2dc \uc628\uc758\ub3d9 511\ubc88\uc9c0 \uc774\ub9c8\ud2b8 \ucd98\ucc9c\uc810 1\uce35 \ud478\ub4dc\ucf54\ud2b8 \u5167 033)252-3369 200-938 \n",
"4 \uac15\uc6d0 \ucd98\ucc9c\uc2dc \uc911\uc559\ub85c2\uac00 31 033)243-9646 200-042 \n",
"\n",
" sales_time shop_code shop_location \\\n",
"0 10:00 ~ 22:00 1410723 \uad50\ub3d9\uc8fc\uacf5 3\ub2e8\uc9c0 308\ub3d9 \uc606 \n",
"1 10:00 ~ 21:30 1410680 \uc2dc\uccad\ub85c\ud130\ub9ac \ub86f\ub370\uc2dc\ub124\ub9c8 1\uce35 \n",
"2 10:00~22:00 (11\uc6d4 23 \uc77c \uac1c\uc810, \uaca8\uc6b8\uc2dc\uc98c \uc601\uc5c5\uc911) 1410696 \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 \ubca8\ub9ac\uc2a4\ud0a4\ud558\uc6b0\uc2a4 3\uce35 \n",
"3 10:00~22:00 1410714 \uc774\ub9c8\ud2b8 \ucd98\ucc9c\uc810 1\uce35 \ud478\ub4dc\ucf54\ud2b8 \ub0b4 \n",
"4 (\uc8fc\uc911) 11:00~21:00 / (\uc8fc\ub9d0) 10:00~22:00 1410621 \uba85\ub3d9 \ub2ed\uac08\ube44\uace8\ubaa9 \uc778\uadfc \uad6d\ubbfc\uc740\ud589 \ub9de\uc740\ud3b8 \n",
"\n",
" shop_name shop_seq shop_use_div use_area \n",
"0 \uac15\ub989\uad50\ub3d9 162 Y A \n",
"1 \ub3d9\ud574 8 Y A \n",
"2 \ud558\uc774\uc6d0\ub9ac\uc870\ud2b8 29 Y A \n",
"3 \ucd98\ucc9c\uc774\ub9c8\ud2b8 152 Y A \n",
"4 \ucd98\ucc9c1 95 Y A "
]
}
],
"prompt_number": 24
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uac04\ub2e8\ud788 \uc644\uc131! \uc774\uc81c \uc2dc\uad70\uad6c\uae4c\uc9c0 \uc810\ud3ec \uc218 \uc13c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"kfc_locs = pd.DataFrame(kfc_tbl['old_addr1'].apply(\n",
" lambda v: v.replace('&nbsp;', ' ').replace('&#160;', ' ').replace('\uad11\uc8fc \uad11\uc5ed', '\uad11\uc8fc\uad11\uc5ed').split()[:2]).tolist(),\n",
" columns=('d1', 'd2'))\n",
"kfc_locs['d1'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 26,
"text": [
"array(['\uac15\uc6d0\ub3c4', '\uac15\uc6d0', '\uacbd\uae30', '\uacbd\uae30\ub3c4', '\uacbd\ub0a8', '\uacbd\ubd81', '\uad11\uc8fc\uad11\uc5ed\uc2dc', '\uad11\uc8fc', '\ub300\uad6c\uad11\uc5ed\uc2dc', '\ub300\uad6c',\n",
" '\ub300\uc804\uc2dc', '\ub300\uc804', '\ub300\uc804\uad11\uc5ed\uc2dc', '\ubd80\uc0b0\uc2dc', '\ubd80\uc0b0\uad11\uc5ed\uc2dc', '\ubd80\uc0b0', '\uc11c\uc6b8\ud2b9\ubcc4\uc2dc', '\uc11c\uc6b8\uc2dc', '\uc11c\uc6b8',\n",
" '\uc6b8\uc0b0', '\uc778\ucc9c\uc2dc', '\uc778\ucc9c', '\uc778\ucc9c\uad11\uc5ed\uc2dc', '\uc804\ubd81', '\uc804\ub77c\ubd81\ub3c4', '\uc81c\uc8fc', '\ucda9\ub0a8', '\ucda9\uccad\ubd81\ub3c4', '\ucda9\ubd81'], dtype=object)"
]
}
],
"prompt_number": 26
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc544.. KFC\ub3c4 \ubc84\uac70\ud0b9\ucc98\ub7fc \uc904\uc5ec \uc4f4 \uc8fc\uc18c\uc640 \ud480\uc5b4 \uc4f4 \uc8fc\uc18c\uac00 \uc11e\uc5ec\uc788\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d1_aliases = \"\"\"\uc11c\uc6b8\uc2dc:\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ucda9\ub0a8:\ucda9\uccad\ub0a8\ub3c4 \uac15\uc6d0:\uac15\uc6d0\ub3c4 \uacbd\uae30:\uacbd\uae30\ub3c4 \ucda9\ubd81:\ucda9\uccad\ubd81\ub3c4 \uacbd\ub0a8:\uacbd\uc0c1\ub0a8\ub3c4 \uacbd\ubd81:\uacbd\uc0c1\ubd81\ub3c4\n",
"\uc804\ub0a8:\uc804\ub77c\ub0a8\ub3c4 \uc804\ubd81:\uc804\ub77c\ubd81\ub3c4 \uc81c\uc8fc\ub3c4:\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4 \uc81c\uc8fc:\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4 \ub300\uc804\uc2dc:\ub300\uc804\uad11\uc5ed\uc2dc \ub300\uad6c\uc2dc:\ub300\uad6c\uad11\uc5ed\uc2dc \uc778\ucc9c\uc2dc:\uc778\ucc9c\uad11\uc5ed\uc2dc\n",
"\uad11\uc8fc\uc2dc:\uad11\uc8fc\uad11\uc5ed\uc2dc \uc6b8\uc0b0\uc2dc:\uc6b8\uc0b0\uad11\uc5ed\uc2dc \uad11\uc8fc:\uad11\uc8fc\uad11\uc5ed\uc2dc \ub300\uad6c:\ub300\uad6c\uad11\uc5ed\uc2dc \ub300\uc804:\ub300\uc804\uad11\uc5ed\uc2dc \ubd80\uc0b0:\ubd80\uc0b0\uad11\uc5ed\uc2dc \ubd80\uc0b0\uc2dc:\ubd80\uc0b0\uad11\uc5ed\uc2dc\n",
"\uc778\ucc9c:\uc778\ucc9c\uad11\uc5ed\uc2dc \uc11c\uc6b8:\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc6b8\uc0b0:\uc6b8\uc0b0\uad11\uc5ed\uc2dc\"\"\"\n",
"d1_aliases = dict(aliasset.split(':') for aliasset in d1_aliases.split())\n",
"kfc_locs['d1'] = kfc_locs['d1'].apply(lambda v: d1_aliases.get(v, v))\n",
"kfc_locs['d1'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 28,
"text": [
"array(['\uac15\uc6d0\ub3c4', '\uacbd\uae30\ub3c4', '\uacbd\uc0c1\ub0a8\ub3c4', '\uacbd\uc0c1\ubd81\ub3c4', '\uad11\uc8fc\uad11\uc5ed\uc2dc', '\ub300\uad6c\uad11\uc5ed\uc2dc', '\ub300\uc804\uad11\uc5ed\uc2dc', '\ubd80\uc0b0\uad11\uc5ed\uc2dc',\n",
" '\uc11c\uc6b8\ud2b9\ubcc4\uc2dc', '\uc6b8\uc0b0\uad11\uc5ed\uc2dc', '\uc778\ucc9c\uad11\uc5ed\uc2dc', '\uc804\ub77c\ubd81\ub3c4', '\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4', '\ucda9\uccad\ub0a8\ub3c4', '\ucda9\uccad\ubd81\ub3c4'], dtype=object)"
]
}
],
"prompt_number": 28
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"kfc_locs['d2'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 29,
"text": [
"array(['\uac15\ub989\uc2dc', '\ub3d9\ud574\uc2dc', '\uc815\uc120\uad70', '\ucd98\ucc9c\uc2dc', '\uace0\uc591\uc2dc', '\uacfc\ucc9c\uc2dc', '\uad11\uba85\uc2dc', '\uad6c\ub9ac\uc2dc', '\uae40\ud3ec\uc2dc',\n",
" '\ub0a8\uc591\uc8fc\uc2dc', '\ubd80\ucc9c\uc2dc', '\uc131\ub0a8\uc2dc', '\uc218\uc6d0\uc2dc', '\uc548\uc0b0\uc2dc', '\uc548\uc591\uc2dc', '\uc624\uc0b0\uc2dc', '\uc6a9\uc778\uc2dc', '\uc758\uc815\ubd80\uc2dc',\n",
" '\uc774\ucc9c\uc2dc', '\ud3c9\ud0dd\uc2dc', '\ud558\ub0a8\uc2dc', '\ud654\uc131\uc2dc', '\uac70\uc81c\uc2dc', '\uae40\ud574\uc2dc', '\uc591\uc0b0\uc2dc', '\ucc3d\uc6d0\uc2dc', '\uacbd\uc0b0\uc2dc',\n",
" '\ud3ec\ud56d\uc2dc', '\uc11c\uad6c', '\ub0a8\uad6c', '\ub2ec\uc11c\uad6c', '\ubd81\uad6c', '\uc218\uc131\uad6c', '\uc911\uad6c', '\uc720\uc131\uad6c', '\uae08\uc815\uad6c', '\uae30\uc7a5\uad70',\n",
" '\ub3d9\ub798\uad6c', '\ubd80\uc0b0\uc9c4\uad6c', '\uc0ac\uc0c1\uad6c', '\ud574\uc6b4\ub300\uad6c', '\uac15\ub0a8\uad6c', '\uac15\ub3d9\uad6c', '\uac15\ubd81\uad6c', '\uac15\uc11c\uad6c', '\uad00\uc545\uad6c',\n",
" '\uad11\uc9c4\uad6c', '\uad6c\ub85c\uad6c', '\uae08\ucc9c\uad6c', '\ub178\uc6d0\uad6c', '\ub3c4\ubd09\uad6c', '\ub3d9\ub300\ubb38\uad6c', '\ub3d9\uc791\uad6c', '\ub9c8\ud3ec\uad6c', '\uc11c\ub300\ubb38\uad6c',\n",
" '\uc11c\ucd08\uad6c', '\uc131\ub3d9\uad6c', '\uc131\ubd81\uad6c', '\uc1a1\ud30c\uad6c', '\uc591\ucc9c\uad6c', '\uc601\ub4f1\ud3ec\uad6c', '\uc6a9\uc0b0\uad6c', '\uc885\ub85c\uad6c', '\uc911\ub791\uad6c',\n",
" '\uacc4\uc591\uad6c', '\ub0a8\ub3d9\uad6c', '\ubd80\ud3c9\uad6c', '\uc5f0\uc218\uad6c', '\uc804\uc8fc\uc2dc', '\uc11c\uadc0\ud3ec\uc2dc', '\ucc9c\uc548\uc2dc', '\uccad\uc8fc\uc2dc'], dtype=object)"
]
}
],
"prompt_number": 29
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub2e4\ud589\ud788\ub3c4 \uc2dc\uad70\uad6c\ub294 \uc904\uc5ec\uc4f0\uac70\ub098 \uc624\ud0c0\ub0b4\uac70\ub098 \uadf8\ub7f0 \uacbd\uc6b0\uac00 \uc5c6\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"K = kfc_locs.apply(lambda r: r['d1'] + ' ' + r['d2'], axis=1).value_counts()\n",
"K.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 30,
"text": [
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 10\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 7\n",
"\uacbd\uae30\ub3c4 \uc218\uc6d0\uc2dc 7\n",
"\uacbd\uae30\ub3c4 \uc131\ub0a8\uc2dc 5\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc6a9\uc0b0\uad6c 5\n",
"dtype: int64"
]
}
],
"prompt_number": 30
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \uc7a0\uae50 \uc815\ub9ac..\n",
"\uc774\uc81c \ub86f\ub370\ub9ac\uc544\ub97c \ud574\uc57c \ud558\ub294\ub370.. \uacc4\uc18d \ud558\uae30\ub294 \uc880 \uc9c0\ub8e8\ud558\ub2c8\uae4c B, M, K\ub9cc \ud14c\uc774\ube14\ub85c \ubaa8\uc544 \ubcf4\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"BMK = pd.DataFrame({'B': B, 'M': M, 'K': K}).fillna(0)\n",
"BMK['total'] = BMK.sum(axis=1)\n",
"BMK = BMK.sort('total', ascending=False)\n",
"BMK.head(10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>M</th>\n",
" <th>total</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c</th>\n",
" <td> 20</td>\n",
" <td> 10</td>\n",
" <td> 12</td>\n",
" <td> 42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uae30\ub3c4 \uc218\uc6d0\uc2dc</th>\n",
" <td> 7</td>\n",
" <td> 7</td>\n",
" <td> 13</td>\n",
" <td> 27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c</th>\n",
" <td> 10</td>\n",
" <td> 7</td>\n",
" <td> 7</td>\n",
" <td> 24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uae30\ub3c4 \uc131\ub0a8\uc2dc</th>\n",
" <td> 7</td>\n",
" <td> 5</td>\n",
" <td> 8</td>\n",
" <td> 20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\ucda9\uccad\ubd81\ub3c4 \uccad\uc8fc\uc2dc</th>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 8</td>\n",
" <td> 18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ub0a8\ub3c4 \ucc3d\uc6d0\uc2dc</th>\n",
" <td> 3</td>\n",
" <td> 3</td>\n",
" <td> 12</td>\n",
" <td> 18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uae30\ub3c4 \uace0\uc591\uc2dc</th>\n",
" <td> 4</td>\n",
" <td> 3</td>\n",
" <td> 9</td>\n",
" <td> 16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc1a1\ud30c\uad6c</th>\n",
" <td> 7</td>\n",
" <td> 4</td>\n",
" <td> 5</td>\n",
" <td> 16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\ub300\uad6c\uad11\uc5ed\uc2dc \ub2ec\uc11c\uad6c</th>\n",
" <td> 2</td>\n",
" <td> 3</td>\n",
" <td> 9</td>\n",
" <td> 14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub3d9\uad6c</th>\n",
" <td> 3</td>\n",
" <td> 4</td>\n",
" <td> 7</td>\n",
" <td> 14</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 31,
"text": [
" B K M total\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 20 10 12 42\n",
"\uacbd\uae30\ub3c4 \uc218\uc6d0\uc2dc 7 7 13 27\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 10 7 7 24\n",
"\uacbd\uae30\ub3c4 \uc131\ub0a8\uc2dc 7 5 8 20\n",
"\ucda9\uccad\ubd81\ub3c4 \uccad\uc8fc\uc2dc 5 5 8 18\n",
"\uacbd\uc0c1\ub0a8\ub3c4 \ucc3d\uc6d0\uc2dc 3 3 12 18\n",
"\uacbd\uae30\ub3c4 \uace0\uc591\uc2dc 4 3 9 16\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc1a1\ud30c\uad6c 7 4 5 16\n",
"\ub300\uad6c\uad11\uc5ed\uc2dc \ub2ec\uc11c\uad6c 2 3 9 14\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub3d9\uad6c 3 4 7 14"
]
}
],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from matplotlib import pyplot as plt\n",
"from matplotlib import rcParams, style\n",
"style.use('ggplot')\n",
"rcParams['font.size'] = 12"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc77c\ub2e8\uc740 \ub9e4\uc7a5 \uc218 \ube44\uad50."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(4, 3))\n",
"BMK.sum(axis=0).iloc[:3].plot(kind='bar')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 33,
"text": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f2c5a150048>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAQgAAADMCAYAAACP+D3pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f2c59e9dba8>"
]
}
],
"prompt_number": 33
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub9e5\ub3c4\ub0a0\ub4dc\uac00 \ub9ce\uace0, \ubc84\uac70\ud0b9, KFC\ub294 \ube44\uc2b7\ud558\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import scipy.stats"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 34
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc11c\ub85c\uc11c\ub85c \ub9e4\uc7a5\uc218 \ube44\uad50\ub97c \ud574 \ubcfc\uae4c~"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(figsize=(9, 3))\n",
"\n",
"def plot_nstores(b1, b2, label1, label2):\n",
" plt.scatter(BMK[b1] + np.random.random(len(BMK)),\n",
" BMK[b2] + np.random.random(len(BMK)),\n",
" edgecolor='none', alpha=0.75, s=6, c='black')\n",
" plt.xlim(-1, 15)\n",
" plt.ylim(-1, 15)\n",
" plt.xlabel(label1)\n",
" plt.ylabel(label2)\n",
" \n",
" r = scipy.stats.pearsonr(BMK[b1], BMK[b2])\n",
" plt.annotate('r={:.3f}'.format(r[0]), (10, 12.5))\n",
"\n",
"ax = fig.add_subplot(1, 3, 1)\n",
"plot_nstores('B', 'M', 'Burger King', \"McDonald's\")\n",
"\n",
"ax = fig.add_subplot(1, 3, 2)\n",
"plot_nstores('B', 'K', 'Burger King', 'KFC')\n",
"\n",
"ax = fig.add_subplot(1, 3, 3)\n",
"plot_nstores('M', 'K', \"McDonald's\", 'KFC')\n",
"\n",
"plt.tight_layout()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAnwAAADOCAYAAACkcN8BAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XdYk+f3P/B3EggzbJDlQFBRFBygIuJqRa3bttg6atW6\nq2gVx0cFte5Rq9SqbW0rdVTROqi21roRq+IoEgcCAsreO4wk3z/48fxMSTSQSTiv6/KSPDw5zwnk\nkDt37sESi8ViEEIIIYQQncXWdAKEEEIIIUS1qMFHCCGEEKLjdL7Bx+fzKR7F01g8XaPtP2+Kp9vx\ndIm2/6xV8bvT9hx1PR41+CgexVNhPF2j7T9viqfb8XSJtv+sqcGne/F0vsFHCCGEENLcUYOPEEII\nIUTHsWhZFkIIIYQQ3aan6QQUkZ6e/tZzeDweSkpKlHZNikfxAMDR0VFp19QWVE8Uj+pJOaiW1BOT\n4kknq57oI11CCCGEEB1HDT5CCCGEEB2n9gZfcHAwnj59Wu/40aNH8eWXX6o7HUKaNKonQpSH6ono\nMrU1+AQCAY4fP47U1FSwWCyJ7yUlJeH333+vd5wQIh3VEyHKQ/VEmgO1TdpYuXKl1IGsNTU12L9/\nPwYPHoyXL1+qKx1CmjSqJ0KUh+qJNAdq6+HbsWMHjh49ChsbG4njJ06cQI8ePdCmTRt1pUJIk0f1\nRIjyUD2R5kCjkzaSkpLw4MEDvP/++5pMgxCdQPVEiPJQPRFdo7EGX01NDfbt24cZM2aAw+FoKg1C\ndALVEyHKQ/VEdJHGFl4uKCjAy5cvERoaCgAQiUQQi8WYM2cO9u7dW+98Pp8vsXFwYGAgeDzeW6/D\n5XLlOk9eFI/i1Tl+/DjztYeHBzw8PJSWR0NRPVG8ph6vqdYT1ZLmYlI82aTVk8YafLa2tjh69Chz\n++rVq7hx4wZWr14t9XxpfwDkWXFaV1bOpnjaFY/H4yEwMFBp11UU1RPFa8rxmnI9US1pLibFk32e\ntHrSqoWXado7IcpD9USI8lA9kaZO7T18e/bskXp8wIABGDBggHqTIcjPz4elpSX9MWuiqJ4IUR6q\nJ6LLtKqHj6jXyZMnMXPmTBw8eFDTqRBCCCFEhajB14wVFxcDAIqKijSciXT//vsv3nnnHbi6umLy\n5MnIz8+Xel6vXr3g6urK/Nu+fTsAICcnB1OmTIG7uzu8vLwQGhoKkUgEALh9+zaGDBkCd3d3fPzx\nx8jIyFDb4yJEE+Spp/nz50vUkqurK9q0aYM7d+7gxo0baNOmjcT3Xrx4AQBISUnB6NGj4erqitGj\nRyM1NVXdD48QtZL39Sk2NhZDhw6Fm5sbRowYwWzd17ZtW4laatu2Lfr27QtAdfVEDb5mbNKkSVi9\nejVmzZql6VTqEYlEmDNnDqZPn46HDx/C1tYW69evr3deVVUV2Gw2EhMTmX9LliwBAGzbtg1mZmZ4\n8OAB/vzzT9y4cQOnTp1CQUEBpk2bhvnz5+PBgwdwc3NDUFCQuh8iIWojbz2FhYVJ1FJ4eDjc3d3R\nvXt3pKamYsGCBRLfd3FxAQAsXrwY/v7+iI2NhZ+fHxYvXqzuh0iI2shbT9XV1Zg+fTqmTZsGPp+P\nMWPGYNmyZQBq13l8vZbGjBmDiRMnAlBdPVGDrxnT19eHl5cXDA0N1XbNlJQUdO7cGTt27EDnzp1l\nnvfPP/+AzWZjwoQJ4PF4CA4ORmRkJCorKyXOS01NRatWraTGeP1xsVgssFgsGBkZISYmBs7Ozhgx\nYgSMjIzwxRdfIDo6Gnl5ecp5kISoibLr6XWlpaVYunQpdu7cCT09Pbx69QqtW7eud15qaioePXqE\noKAgmJiYYOHChXj06BHS0tKU8hgJURdl19Mff/yBDh06IDAwEAYGBvj000+xbt26evEuXLiAhIQE\nzJ49W6X1RA0+onZFRUXIz8/H3bt3ZZ6TmJiIjh07MrcdHBxgZGRUb7/LlJQUZGZmws/PD127dsXC\nhQuZj6gXLlyI69evo127dvD29oatrS3ee+89iMViiRh1t+kFijRFyqyn1+3duxd+fn7M/VJTU3H4\n8GF4eHjA398fhw8fBlDbU+Hi4gJ9fX0AtWuFubq6IjExURkPjxC1UmY9PXr0CKampnj//ffRsWNH\nfPLJJ/W276uursa6desQEhICFoul0nqiBp8aFBUVYeHChVi5ciWqq6s1nY7GicViLFmyBGFhYfXG\nC7m6umLTpk0oLCyEqampxP14PB4KCgokjlVVVaFLly6IiIjA5cuXkZeXh5CQEADAli1b0K1bN/D5\nfFy7dg0vX77EmTNn4O3tjZSUFERGRqKiogI7duwAAAiFQvX8AAhRImXWU52CggL8/PPPWLhwocT5\nw4cPR0xMDHbu3ImNGzfi5s2bKCgoqBfb1NRUZmxCtJky6yknJwcXL17EkiVLcP/+fbi4uGDBggUS\n50RERKBNmzbw9vYGAJXWk8YWXm5OMjMz8erVK7BYLJSUlMDKykrTKWkUh8OBpaUlli5diqVLl0o9\n59ChQygtLZU4VlJSAktLS4ljw4YNYwa6AkBwcDAmT54MADh//jx+/fVXmJubw9zcHNOnT8e5c+cw\nevRo7Nu3D2vXrkVoaCg+/vhjGBkZwc7OTsmPlBDVU2Y91Tlz5gy6d+8OR0dH5tjmzZuZr729vTF2\n7FhcvXoVffv2rRe7tLRUZmxCtJky68nU1BRDhgyBr68vAGDFihXo2LEjKioqYGRkBAA4fPgwZs+e\nzdzH0tJSZfVEPXxq0KFDByxYsADLli1r9o09ebVt25aZzQTUNporKirg4OAgcd6hQ4cQGxvL3BaJ\nRMzYPWl7YOrr66OsrAw2Nja4cuUK7t+/j2HDhsHExAROTk4qejSEaJa89VTnt99+w5gxY5jb5eXl\n2LRpk8RwiLpac3FxwYsXL1BVVQWgttc9KSkJbdu2VdGjIUSz5K0naTXw+pq3iYmJeP78OQYPHswc\nU2U9UYNPTfr168d02ZJamzdvRuvWrev927RpE3x9fVFTU4MjR46guLgY27Ztw4gRI+pNMMnMzERI\nSAgyMzNRWFiIr776CsOHDwcABAQEYPv27SgqKkJCQgIOHDiAIUOGoLy8HB999BGePXuGkpISbNq0\niZkdRUhTpYx6Amp7Kh4+fIg+ffowx4yNjXH+/Hns2bMHAoEADx48QGRkJIYOHYpWrVqhS5cuCAsL\nQ2lpKXbv3g0PDw84Ozur8+ETolTKqKexY8fi+vXriI6OZt40+fr6Mr17N27cQPfu3SXu17p1a5XV\nk9obfMHBwUzLWCAQYN++ffjss88wa9YsnDp1St3pEA2oe4ezfPlypKSk1Pu3YsUKsFgs7Nu3DwcO\nHEC3bt2QnZ3N7GMZEREBPz8/ALUTMzw9PTFkyBD4+/vD2dmZ6YYPCQmBhYUF/Pz88PHHH2PixIkY\nNWoUbG1tsWrVKkyaNAk9evSAo6OjxFilpoTqiSizngDg/v37sLW1rddbceDAAVy9ehWenp5YuHAh\nNm7cyOwhu337dly7dg2enp64fv06My62qaF6IsqsJ0tLS3z11Vf44osv0L17d6Snp2P37t3MtWJi\nYtC1a9d6Oaiqnlji/05ZVBGBQICzZ8/i5MmTWLduHTp06ICff/4Z2dnZmD9/PgoKCrB582ZMmjQJ\nPXv2lCvmm2aY1dGVzZApnnbFe31skyZQPVE8XYqna/VEtaSemBRPOln1pLYevpUrV9Z7h3Tv3j2M\nGzcORkZGcHR0hJ+fH+Li4tSVEiFNFtUTIcpD9USaA7U1+Hbs2IGjR49KrEGzePFitGnThrmdlJQE\nCwsLdaVESJNF9USI8lA9keZAo5M22rRpAz09PWZgYnp6Ot59911NpkRIk0X1RIjyUD0RXaPxWboP\nHz7EokWLUFVVhQ0bNsDMzEzTKRHSZFE9EaI8VE9El2h04eWYmBjs3r0bM2fOlFg8Vxo+nw8+n8/c\nDgwMBI/He+s1uFyuXOfJi+JRvDrHjx9nvvbw8GBmLGoK1RPFa8rxmmo9US1pLibFk01aPWm0wffL\nL79gzpw5zCrUbyLtD4A8s1V0ZdYNxdOueDweD4GBgUq7rjJQPVG8phqvKdcT1ZLmYlI82edJqyeN\nNfjKysqQmZmJ3bt3S6xL079/f4ltRgghb0f1RIjyUD0RXaT2Bt+ePXuYr48dO6buyxOiU6ieCFEe\nqieiyzQ+aYMQQgghhKgWNfgIIYQQQnQcNfgIIYQQQnQcNfgIIYQQQnQcNfgIIYQQQnQcNfgIIYQQ\nQnQcNfgIIYQQQnRcoxp8VVVVSEpKQkVFhbLzIYQQQgghSibXwsv5+fnYt28fevfuDT8/PyxbtgwZ\nGRkwMjLCsmXL0LFjR1XnSQghhBBCGkmuHr4DBw5AKBSic+fO+Oeff1BeXo7du3dj0KBBOHz4cIMu\nGBwcjKdPnzK3T58+jenTp2P69Ok4ffp0w7InpJmjeiJEeaieiKqIRCLs27cPmzdvRnl5uUZykKuH\n7/HjxwgNDYWdnR2OHTuG7t27o0WLFhg0aBAuXrwo14UEAgHOnj2L1NRUsFgsAACfz8eFCxewYcMG\niEQifPnll2jfvj06derU+EdESDNA9USI8lA9EVUrLCzE33//DQB4/vw5vLy81J6DXA0+NpsNkUgE\nAIiLi8PkyZMB1G4wbWBgINeFVq5cifT0dIljV69eRUBAAOzt7QEAAQEBuHr1KhUUIW9B9USI8lA9\nEVWzsrLCtGnTUFRUhM6dO2skB7kafN26dcN3330HJycnlJeXo1u3boiPj8fBgwflfvLv2LEDADBv\n3jzmWEZGBnr37s3cbt26Ne7fv9+Q/AlplqieCFEeqieiDu+9955Gry/XGL7p06ejU6dOKCsrQ1BQ\nEExMTHDz5k1YWlri008/bfTFS0pKYGRkxNw2MjJCSUlJo+MR0pxRPRGiPFRPRNfI1cNnZGSETz75\nROLY1KlTFb44j8eTWNqloqICPB5P4biENEdUT4QoD9UT0TUyG3zffvutxO25c+cq/eIODg5ITU1F\njx49AAApKSlwcHCQei6fzwefz2duBwYGylV8XC5XqUVK8ShenePHjzNfe3h4wMPDQ2l5NAbVE8Vr\nyvGaaj1RLWkuJsWTTVo9yWzwqWNg6oABA7Bnzx74+vpCLBbj4sWL+Pzzz6WeK+0PgDzd6zweT6nd\n8LLiJSYm4tatW3jvvfdgZWWlcDxl50fxlBuPx+MhMDBQaddVBl2qJ4rXvOI15XqiWtJcTIon+zxp\n9SSzwTdgwACFEpOHh4cHBg8ejJUrV0IsFmPUqFFNdgbUDz/8gOfPn6OqqgrTpk3TdDqkGdKleiJE\n06ieiK6R2eD775i9urWJxGKxxG0AOHjwoNwX3LNnj8TtsWPHYuzYsXLfX1v169cPFRUV6Nmzp6ZT\nIc2IrtYTIZpA9UR0mcwG3+u9VEVFRThx4gS6dOkCd3d3GBoaIikpCdHR0fjoo4/Ukqi2GzZsGIYN\nG9ag+7x8+RKnTp2Cr68vfHx8VJQZIYQQQpo7uT7S3bx5MwIDAzFy5EiJc9q2bYtr165pfG2ZpurC\nhQuIjo7Gq1evqMFHCCGEEJWRax2+R48eoWvXrvWOd+jQAcnJycrOqdkYMmQIevXqhQ8++EDTqRBC\nCCFEh8m1Dp+1tTXu3r2Lli1bShy/ceMGnJycVJJYc9CyZUuEhITQYp6EEEIIUSm5GnyTJ0/GV199\nhXv37sHZ2RkikQhJSUnIycnB8uXLVZ0jIYQQQghRgFwNPh8fH+zcuRN//fUX0tPTYWBgAF9fXwQE\nBMDMzEzVORJCCCGEEAXI1eADAHt7+3pLtRD1S0hIwMmTJzF06FB4eXlpOh1CCCGENAEyG3yLFy+W\nelzaenzbt29XQWpEmvPnz+Pu3buoqKigBh8hhBBC5CKzwderVy+5Ary+ADNRveHDh0MgEGDIkCGa\nToUQQgghTYTMBp88+xrW1NSgoKBA4SQuX76MU6dOobCwEM7Ozpg6dSrat2+vcFxd5OrqiqVLl2o6\nDaLFqJ4IUR6qJ6Ir5FqHDwAyMzNx9+5d3L59m/l3/vx5BAcHK5RAfn4+fvrpJwQFBeHgwYPo378/\nwsLCFIpJSHNF9USI8lA9EV0i16SNy5cvY//+/fWOs9ls9O/fX6EE2Gw2OBwOWCwWMy7QwMBAoZiE\nNFdUT4QoD9UT0SVyNfhOnz6NMWPGYPTo0VixYgVWrlwJPT097NixQ2ILtsawsLDAiBEj8L///Q9A\n7ZjAkJAQhWISos1qamqgp1dbeiKRCOXl5TA1NVVKbKon0txQPREiH7k+0s3Ly0P//v1hbGwMFxcX\nJCcnw8rKCh9++CEOHz6sUAJZWVk4d+4cVqxYgV9++QWBgYE4cOAARCKRQnGJYhISEvC///0P586d\n03QqOiMmJgYLFizAnTt3mGOlpaWYMWMG1q9fj5ycHIWvQfVEmguqJ0IaRq4Gn5WVFbKysgAALVq0\nYPbPtbGxUXgv3QcPHqBTp07o2rUruFwuxo0bh8LCQqSnpysUlyjm1q1biI+Ppwafkjx+/Bg7duxA\njx494OHhwRzn8XhYvHgxhEIhli1bhszMTIWuQ/VEmgOqJ0IaTq6PdAcPHoxvvvkGM2bMgIeHB8LC\nwmBnZ4c7d+7A1tZWoQTYbMk2Z904if8e5/P54PP5zO3AwEDweLy3xudyuXKdJ6/mEm/8+PEAgAED\nBmhlftoQ7/jx48zXHh4eEi88/3Xq1CkMHToUU6ZMkTjOYrHg7e2NHj16YPv27fj111+xcOHCxiUP\nqieK13TjNdV6olrSXEyKJ5u0epKrwTdq1CjY2dlBT08Pnp6e8Pf3x88//wwzMzPMnj27cZn/P127\ndsXhw4fx77//omPHjoiMjISFhQUcHBwkzpP2B6CkpOSt8Xk8nlznyau5xONyuZg8ebLW5qfpeDwe\nT66li+okJyfjo48+kvl9FouFESNGKLyIOdUTxQOAiooKGBoaNnidVKonSfLUE9WS5mJSPNnnSasn\nubdW6927N/P1J598orRt1uzs7BAUFITw8HDk5ubCzc0NwcHBtKAz0SkCgeCts/vMzMwgEAgUug7V\nE4mOjsbOnTvRt29fBAUFaTodlaB6IqTh5G7w/fPPP0hMTERlZWW9702bNk2hJLp3747u3bsrFKOp\nEIlEiI+PR5s2bWBoaKjpdIiaODo64v79+3B2dpZ5zrNnz2BnZ6fwtZpTPZH6srOzIRaLFR6/ps2o\nnnTXq1ev0KJFC+jr62s6FY35+eefkZubi7lz58LY2FhpceVq8B06dAiRkZFo1aqVxHR3sVjcbN/p\nxMfHw8bGBlZWVnKdn5ubi5MnT6KkpAT//PMPfH19Ze5XTHTPO++8g19++QU2Njbo06dPve8nJSXh\n6NGjGDFihAayI7pk5MiRcHJygqurq6ZTURmqJ9104cIFfP/99/D29sby5cs1nY5GlJSU4PfffwcA\n9O/fHz4+PkqLLVeD79q1a5gzZ47Ca+7pitu3b2Pbtm2wtbXF3r175brPuXPncPHiReY29e79f5mZ\nmfjhhx/g5eWFkSNHajodlRg8eDASEhKwa9cunDhxAm5ubrCyskJlZSWSkpLw7NkzeHt70wtUE/T8\n+XMkJydj0KBB4HA4mk4HHA5HqS8S2ojqSTfV1NRI/N8c8Xg8fPrpp8jNzUXXrl2VGluuBh+bzUbb\ntm2VeuGmzMTEBBwOp0GLe/bt2xeJiYno168fOnXqhBYtWqgww6bl9u3bePjwIV68eKGzDT4Wi4W5\nc+eie/fuuHTpEu7du4fy8nIYGxujTZs2+Pzzz9G3b19Np0kaYf369SgrK4Oenh4GDhyo6XSaBaon\n3TR8+HC4u7vDyclJ06lolKreqMjV4HvnnXdw/vx5zJw5s9409eaoc+fO2LdvH0xMTOS+j6urK9at\nW6fCrJquAQMGICMjA56enppOReV69+4tMQGKNH1eXl548uQJXFxcNJ1Ks0P1pHt0eSiCpsnV4MvO\nzsbt27dx//59tGzZUmIwJYvFwrJly1SWoLaytLTUdAo6w9zcXOHlfbTd+PHjsWfPHtjY2DDHHj58\niI4dO9LenE3cF198oekUmh2qJ0IaTq7uOhaLhd69e8PLywtWVlbg8XgS/3TFvXv3cODAARQVFWk6\nFdIMbNu2DXl5eZpOgxCdQPVEyJvJ1cM3b948VeehFbZu3YqsrCwYGBhg0qRJmk6HEEIIIUQp5F6H\nj8/n4+TJk0hJSQEAtG7dGuPGjUPnzp1Vlpw63bhxA48fP4ZAIMDLly9lnldUVITKykoYGRmpMTtC\nCCGEkMaT6yPd6OhorF+/HjY2Npg8eTImT54MGxsbbNiwAVFRUarOUW2sra1hbm6OXr16Sf1+amoq\npkyZgi+++AJVVVVqzo4QQgghpHHk6uGLiIjAhAkTJJbMGDBgAJydnXHy5EmFp79nZWVh7969SEhI\nQIsWLTB9+nR06tRJoZgN5e/vj/DwcNja2srsvRMIBKipqUF5eTmEQqFa8yNNX3x8PLKzs5nbYrEY\nCQkJKCwslDhP0ee+NtQTIapG9URIw8g9S9fLy6ve8a5du+LXX39VOImvv/4avXr1wv/+9z88fPgQ\nu3btwv79+xWO21CtWrV64/e5XC6++OILtG7dulEf6VZXV0MkEtEssmZq165d9Y7t2bOn3rFjx44p\ndB1tqSdCVInqiZCGkavBZ2dnh9jY2HoNon///VfhBYSTkpIgEAgwZswYAEDPnj1hYWGhddu25eTk\nYNmyZdDT08P27dsbfP+Kigp88cUXqKioYHbpIM3H2rVr5dqGr7i4WKHrNJV6IkQRVE+ENJxcDb4P\nP/wQYWFhSE1NRceOHQEAjx8/RlRUlMIzeFNSUmBlZYUtW7bg8ePHaNmyJWbMmKGWYnr48CFevnyJ\nYcOGQU/vzT8KAwMDmJqagsPhSN0WLSUlBZcuXcKQIUMkVgnPzMwEm80Gl8tFYWEhampqUFpaSg2+\nZmbPnj0IDQ2VWDfsdUKhEBEREThz5gyOHj3a6Otosp4IUReqJ0IaTq5JG3369MHKlSuRk5ODQ4cO\n4dChQ8jNzcXKlSsVHr9XVFSEuLg4+Pv744cffoC3tze2b9+u8jFyIpEImzdvxsGDB3Hr1q23nm9m\nZoY9e/bgp59+krro8pEjR3D+/HmJjw+ysrKwaNEiLFq0CCKRCJs2bcKXX35JK/I3Q2w2G6GhocjK\nyqr3vZcvX+J///sfTp06pfDWXJqqJ0LUieqpaUpJSUF+fr6m02i25N4nrXPnzggNDcWBAwdw4MAB\nhIaGKmVJFkNDQ7i5uaFPnz7Q19fHmDFjUF5ejoyMDIVjvwmbzYavry+cnZ3Rrl075vjdu3exYcMG\nJCQkSM1VWu8eUDuJxcXFBf369WOOcTgc6OnpQU9PD2w2G23atIG7u7vyHwzRemvXroWxsTHWrFnD\nPLfFYjHOnj2L5cuXo7i4GCtWrMDMmTMVuo6m6okQdaJ6anri4+Mxb948LF68GJWVlZpOp1l660e6\n6enpuHnzJlJTUyEQCGBkZIRWrVqhb9++sLe3VziB/8aQNTaCz+eDz+cztwMDA+Xa5YPL5co8b9Wq\nVfWO/fHHH3j8+DEcHBzg5eVVb+/g1+Pdvn0b4eHhCAwMREBAAAICAiTO5fF4+Omnn8BisWBhYdHg\n/AoKChAZGQlfX1+JRumbvCleY1A82Y4fP8587eHhAQ8PD5nnWlhYIDQ0FJs2bcKaNWswa9YsnD59\nGs+ePUO/fv0wdepUGBsbK5y/JuupMdQVLz09Hfb29g3eC7ypPt6mGK+p1lNzq6XGMjc3h56eHkxM\nTGBubi6xRWtjaftj1rZ6YonFYrGsO/z66684ffo0OBwOrK2twePxUFxcjPz8fAiFQowbNw6BgYEK\nPQCRSIR58+Zh8uTJ8Pb2xvnz53Ht2jXs2LHjrX+c09PT3xqfx+OhpKRE7nwePXqEv//+GwDwzz//\n4PPPP4e/vz+A2kkqO3fuRJ8+fTBz5kzs3LkTN2/eRI8ePbBixQq5ryFvfj/99BPOnTsHNzc3bN68\nWeF4ys6vOcdzdHRsVHyBQIBt27YhLi4OZmZmmDVrFry9vRsVSxptq6f/iouLw9atW+Hn54dZs2ap\n5fcXERGBY8eOISAgoME9PrryfNX2eLpWT+qopaYWDwCqqqpQU1OjlMY4oP2PWdvqSWYP34ULFxAZ\nGYkJEybg3XfflfgFlZWV4cKFC4iIiIC1tTXeeeedRqRei81mY9GiRdi3bx/27t0LNzc3LFmypMHv\nxJWlS5cu6NKlC0JDQyEUCpGSksI0+BITEyEQCPD06VMAtRt4W1paYtCgQSrJxcfHBw8fPlR4nKQs\nQqEQDx48QPv27WFmZqaSaxBJhoaGWL58OXbu3ImnT5/KNdOwIbStnv4rMTER5eXlePz4sdz3UXRG\npEAgAFA7U57oluZeT6978uQJzM3NtXp/e2tra6U3Ion8ZPbwLVq0CAMHDsSoUaNk3vm3337DrVu3\nsG3bNpUl+CaqfBeVl5eHR48eoXfv3sy4vaqqKty5cwcuLi4SM3EVIS2/P//8EydPnsTUqVPRp08f\nhePJUtfz4eHhgbVr1yocT9n5aXO8hvZIRERESDRaampq8Oeff4LFYmHYsGESLyAffPBBg2Irizp6\nJaqqqnDt2jW4u7ujZcuWb4136NAhREZGSvS0NzQ/kUiEZ8+ewdXVFVwut0H56srzVdvj6Vo9qbuH\n79KlS/j+++/RunVrbNmyRSkxVdHDpyvPV22P1+AevszMzLd2jfv4+ODEiRNvvbgmVVVVoaSkRO53\nPbm5uTA3N4e1tTUGDBgg8T0ul4thw4ap/B3KvXv3UFBQgAcPHjS4wdcQdUvD0BIxqnf16tV6x0xM\nTAAA165dkziuqQafOnC5XAwePFju8xMSEiAUCpGUlCRXg08aNpvNLCdFdAPVk6S6jQCa+x7vOTk5\nsLGxoWVzZJDZ4BOJRG99N2xgYKDV09PFYjGCgoLw8uVLrFu37q0TH6Kjo/HVV1+hc+fOWLNmjXqS\nlGL69OlbtmepAAAgAElEQVS4efOmwksKvM2AAQPg7e3N/KEkqiNtBwDydvPnz8e///6r0jc+pOmh\nepLUp08fdOvW7a3ryeqS27dv4+jRoxg5ciTeeecd5hOr4cOHY+rUqZpOTytp30AEJRKLxSgsLER1\ndTVKS0ulniMSiZh1gerG+JSXl8t9jfz8fMTHxyue7Gvs7e3x/vvvv3U8SnR0NGbPno2LFy82+lqm\npqb0bohoLWtrawwaNEjmckiE6LK0tDRMnz4doaGheMP8SgC1O2IpY+ZrU3H37l1kZmbin3/+AQDm\nNZ7GCMr2xrcD586de2Pvj6xGlLZgs9nYtWsXUlJSZK5/9/333+PixYuYOnUqhg8fDmdn5waNJ1m1\nahWys7OxZMkS9O7dW1mpyyUmJga5ubmIiYlp0MdkhJDabbeio6PRq1cvqYupK0tSUhIMDQ0bPROV\nNF9paWkoKipCRUUFampqmlWD7m0++ugjODs7w8fHBwAwefJk+Pj4yL2EWXMks8FnY2ODO3fuvDWA\nrK1ttIWdnd0bxzUUFhYCqF1RPT8/H2FhYbC0tERoaKhc3eOmpqbIy8vTyMeiEydOhIODg8pm8RKi\ny8LDw3H16lXExcVhyZIlKrlGUlISli1bBgMDA+zbt0+rZ1AS7ePj44OgoCC0aNFCbY29wsJCZGZm\nMg0pbWVjY4PJkyczPXp6enpK2QxCl8ls0ejqGIlnz54hOjoao0aNgrW1NebPn4/nz5+jc+fOePLk\nCTIzM5GTk4Py8nK5lipZv349ysrKVNpDIIu1tTU+/PBDtV+XEF3QoUMH3Lp1Cx06dFDZNYyMjGBo\naAgjIyNwOByVXYfoJhaL1ejJSo21du1avHz5EkuXLkXPnj3Vem2iWnKP8IyKikJmZiYz4yk8PLxB\nO0Boix9//BGJiYkQi8WYNm0ajI2N4eXlBaB2+7gFCxbA3Nxc7nXpuFxug5d6IIRo3uDBg1U+FMLB\nwQF79+4Fh8Np9jMoSdPA4/HAYrFgamqqlusJBAIIhUKaPKgGck3aOHv2LPbv3y9xrLi4GKGhoYiO\njlZJYqry7rvvom3btjJn/fXr149pABJCiKJMTU2psUe0Qnl5OZKTk994zurVq7F//3706tVL5flU\nVFRgwYIFmD17NjIzM1V+veZOrh6+v/76C7NmzZIYK/b555+jXbt2OHHiRJNaMqGx7+orKytRWlrK\njMERiUR48OABXFxc6s2mffr0KZydndX2DomQpkQkEuH48ePgcDiYNm2aptMhpNn48ssv8fz5cyxY\nsAD9+vWTeo6+vr7SdyyRpaamBuXl5aisrGR2xCGqI1cPX0FBAVq1alXveMeOHZGVlaW0ZFJTUzFh\nwgRmmRR1O3PmDCIjI6V+b82aNZg9ezYzkeXkyZPYsGEDNmzYIHHeX3/9hVWrVmHjxo0qz5eQN9F0\nPcmSmJiIEydO4NixY0hNTVU43rVr1/DJJ5/IrF11q9vZo7KyUtOpECXR1lpqqLodSLRlazgej4ct\nW7Zgy5YtaNOmjabT0Xly9fC1bt0af//9d71349HR0UpbakAkEmH//v0qW8g5NjYWCQkJGDFihNQx\nd48ePcIvv/wCAPDy8qrXwC0vL4dYLEZFRQVevXqFn3/+GS9fvkSPHj0kzqv76EZZm0MT0hiqrqfG\nyM7ORkpKCjw9PeHv7w99fX04OTk1aN1Lafh8PsrLyxEXF6ekTBUTERGBiIgI+Pn5YdGiRZpOhyhI\nG2upsVavXo28vDylbQ2qDNqUi66Tq8H3ySefYOPGjXj06BHc3NzAYrGQnJyM9PR0LFu2TCmJnD59\nGu7u7khISFBKvP/atm0bsrKyUFFRgYkTJzLHBQIBfvzxR1y8eBE8Hg9dunSBg4NDvfuvW7cO2dnZ\n6N69O2JjY2FiYoIuXbogKChI4jx/f3+4u7vDwsJCJY+DEHmoup4a48svv0RGRgZmzZrF1I0yZq5O\nmjQJrVu3Vvs6mLLUvaE0MDDQcCZEGbSxlhrL0NCwSTSwsrKysHLlStjY2GDDhg00w11J5OrXdXd3\nx+7du9GrVy9UVFSgrKwM3bp1w65du9ClSxeFk3j58iWio6Mxfvx4hWPJ0qpVK2RnZ+PMmTMQiUTM\n8T179uDQoUPIy8tDjx49EBwcLHW9I3Nzc2ZGsouLC3bs2IGvv/5a6jg9W1tbWiCTaIw66qkxHBwc\noKenhxYtWig1rpmZGYYPHw5ra2ulxm2ssWPHYteuXZg1a5amUyEK0tZa0lZRUVEIDg7GvXv3FIqT\nlZWFwsJCpKSk0NAIJZJ7WRYLCwt89NFHSk9AJBJh3759mDlzpkqXN5k+fTpSU1PRunVrifELBgYG\ncHBwgJ+fH2bOnCn1vmlpaTh48CB69eqFMWPGAABatmypUD5PnjyBpaUlLcRKlEpd9dQYK1asQGVl\npUq2SYuIiMCdO3cQHBwMOzs7pcdvqKbQi0LeTJtrSVtdu3YNL168QFRUVL3hTg3h6emJJUuWwMLC\ngoZHKZHMBt+8efPAYrHeun8fi8XCN9980+gEzp49Czc3N7Rv3/6t11KEg4MDfvzxx3o9b3PmzMG4\ncePeOBYxKioK9+/fR1paGtPgU0RsbCzWrVsHExMTHDt2TOF4hNRRZT0JhUI8e/YMdnZ2jdqkncVi\nMY29zMxMpTbMLl++jJycHNy9exfDhw9XWlzSfKnrtakh7t27hytXriAwMFDqREpVqampwfHjx2Ft\nbY0hQ4bIPG/SpElwdHTE0KFDFb6mtgzR0CUy/2rn5uaCzWajY8eO8PT0BJfLlfqkZ7FYCiXw6NEj\nPH36FH///TdzbP78+QgODkbXrl2ZY3w+H3w+n7kdGBgoV+8Yl8tFUlISQkJC4OHhIXX2rJ6eHkpL\nS2Fvby81xujRo1FUVITevXuDy+Uq3CvXokULGBkZwdbWFkZGRkr9+FcZ+VE8+eIdP36c+drDwwMe\nHh5Ky6OxVFlP+/fvR2RkJIYOHYrPP/+80TmeOHECP/30EwYPHoylS5eCy+UiLCwMPB4PM2fObNTf\nlODgYDx48ABjx45t9Ni5rKws2NnZSVxfl56v2h5P2+pJHa9NDf1ZnzlzBvHx8bC1ta1Xg6r83d25\ncwdnz54FAAQEBMjcmKBz585v3N5Ml56v2h5PWj3JbPCtXLkSd+7cQUxMDBISEtC1a1f07NkT3bt3\nV2oX6+rVqyVujx8/HmFhYfXWAZL2B6BuD7034fF4SE1NhUAgQGpqar37vHr1CmPHjkVNTQ2+//57\neHt714thaGjIfNxbVVUl13XfpEWLFti3bx+4XC5qamoUjvc6Ho9H8dQQj8fjITAwUGnXVRZV1pNQ\nKIRYLIZQKFToZ15QUICamhoUFhaiqqoK9+/fx8WLFwHUrpNpa2vboHgCgQBPnz6Ft7c3DAwMGpXb\nsWPHEBERgREjRuDTTz9ljuvK81Xb42ljPanjtamhP+uRI0fi8uXL6N+/f737qvJ316pVK3h5eTHj\nZBt7HU08v0QikdzL0Oh6Pcls8Hl6esLT0xPTp09HYmIi7ty5g99++w3ffvstPDw80LNnT/j4+DSJ\n2aj9+/eHmZkZnJ2d630vLy8P1dXVqK6uVnh5iIagbWRIUzNx4kQMHz68UTVft6QFh8NBYGAgvLy8\n4OLiAqB2T9vhw4fD1NRU7saeUChkZu6dP38eR44cgZOTE3788ccG5waAqf3S0tJG3Z8QdfDx8YGP\nj4/ar2tiYoIVK1ao/bqKSktLw8qVK9GiRQts2rRJa9Yf1JS3DsRhsVhwc3ODm5sbJkyYgPT0dNy5\ncwfXrl3Djz/+CFdXV6xfv15pCSl7TFtycjKWL18OV1dXLF++HABQXV2N27dvM7/8r7/+Gmw2m1l5\nPDExEba2tnLvp/u6p0+fgsvlom3btsp7EIQ0kjLric1mo3Xr1g1+x1pcXIwlS5aAxWJh+/bt4PF4\n6NixIwAgPz8fcXFxmDJlClOPVVVV2LRpEyorK7Fq1ap6nygcPnwYp0+fxpw5czBo0CC0b98eZmZm\nEh+zNdTkyZPh4+OD9u3bNzoG0W003lq2wsJCrez8ycnJQWlpKaqrq1FVVaWSCWNNSYNHXltYWMDa\n2hqWlpZgs9nIy8tTRV5Kk5ycjIKCAvD5fIjFYrBYLERGRmLv3r1ITk6GmZkZgoODmRnIt27dwo4d\nO+Dk5IRdu3Y1+FqrV68Gh8PB3r17YWlpqYqHREiTUlpaisLCQgBAWVmZxBiUtWvX4unTp5g2bRre\ne+89ALWNwEePHgEA0tPT4ebmJhEvOTkZYrEYKSkpAGrHDTWkZ6+8vBxGRkYSY/X09PTeOPaIECJp\n+/bt+Pfff9G9e3fcvHkTgYGBWvexfNeuXbF06VJYWVkhJSUFeXl5WrMVbFxcHExNTdW6w4hcDb7C\nwkLcuXMHd+/eBZ/PR4sWLeDj44O1a9fC1dVV1TkqpF+/figqKkLLli2ZP/DFxcWorq5mptq/vn4X\nl8sFi8WCgYEBqqursWXLFpSUlGDVqlVvHSzJ4/FgamoKQ0NDcDgcHDhwAJaWlhg3bpzqHiAhWs7R\n0RHr1q0DgHoTo6ytrcFisSRq0N7eHkFBQaisrKzX2ANqVxCIjY1Fz549G5xLdHQ0du7cCT8/Pyxc\nuLDB9ydEl5SXl+PJkyfw9PRs8OTBZ8+eoaKignnjpa3bzvXs2RMCgQDTpk1jevm6d++u0ZyePn2K\nNWvWwMDAAN9//73alp6R2eDLzMxkGnnPnz+Hi4sLevbsiU8//bRJrTHFZrMxaNAg5vb9+/fx+++/\nw9HREQcOHACPx4OdnR3OnTsHZ2dn9OjRA99++y14PB4KCgpw8+ZNGBkZ4dWrV8zHUBcvXkR5eTlG\njRol0UtgbW2N/fv3g8ViIS4uDn/88QcAYODAgWrp7Tt27BgSEhIwc+bMBg98J0SV3N3dpR5ftWoV\nsrKy6i1g7u/vLzOWhYWFzI3f3yYnJwdisVjhPcCFQiGSk5Ph4uLS7McFkaZr7969uHXrFoYPH46p\nU6e+8Vw+nw8LCwvm9X/16tV48eIFfHx88PTpU7XMqi4sLISZmVmDa65umFVGRobUnbTUzdzcHMbG\nxrCwsFDrJg0yG3xBQUFgs9no0KEDJk+ezLwDf/XqFV69eiVxbq9evVSbZSOlp6fjzz//RO/evdGp\nUycAtTNkxWIx7OzsmD/Whw8fxvr162FsbIyLFy8yjaWIiAgIhULY29szjb2cnBzs378fAODm5lbv\nSV7Xa9ixY0f4+/vDwsJCbR/tnj17FkKhEA8ePEBAQIBarkmIIthsttTdarKzs7F161b4+/tj9OjR\nSrveyJEj4ejoqPAnEz/++CMuXLiAkSNHYsqUKUrKjhD1qntdf9suNY8ePcLatWthbGyMRYsWgcvl\nwsPDg1kLUFaPWXx8PFq2bMnsMd8YpaWlKC8vx8OHD/Hdd99h4MCBmDdvXoNisNlspc41UJSDgwN+\n+OEHcDgctW4b98aPdEUiEZ48eYInT568MYi2DmaNjIzElStXkJiYiA0bNgCoXV8QqH2nUFJSgtzc\nXNjY2IDD4cDExETiiWlmZgYulyuxfZyVlRX69OmDkpISuLi4oLKyEitWrEBZWRk2bdrETNk3NDSs\nt8+uqs2dOxepqano27evWq9Lmh8+n4+YmBiMHj1aJYO1v/76a5w7dw5Xr17FkCFDlDbYms1mK2WW\nY13PvqLrkJLmq6CgAFeuXEHv3r01tuPSsGHD0LVrV8TGxiIuLk7mOFYejwcDAwMYGhpiw4YNYLPZ\nCAsLe+M2iZGRkTh48CA8PT0REhLSqPxqamqwePFiFBYWMmPvCgoKGhVL22hi9xaZDT5tbcQ1xIAB\nA5CdnY0BAwYwx0xNTWFgYABzc3Ns2LABSUlJWLBgAS5dugRzc3OJFxZ9fX1wOBxmwDlQu6zEF198\nwdzOz89HWloahEIh8vPzYWVlBZFIhJiYGLi5udVbs0mV/Pz8MHToUKWu+0OINN999x3S0tLA5XLx\n8ccfKxwvLS0Na9asgZ2dHVatWoWhQ4fixo0b8PLyavRCyqo0bdo0vPvuu2rd7YDolr179+LatWuI\nj49vcI9VQ0lbiy43NxeLFi1CZmYmeDwe7t69i7CwMIlzDh06hGvXrqF9+/YwMjLCp59+ioMHD4LD\n4UjtmX9dXd1Kq1+xWAyRSFSvd0soFCIzM1Ni2JhIJIJYLMbgwYMxYMAAqeN6iXwavj9SE9KhQwds\n3bpVogHk6uqK7777DgYGBli7di0AMBu6R0dH46+//sLcuXNhZ2cHoVD41i2krKysEBISgvLycuaJ\n+PvvvyM8PBxt27bF1q1bVfcACdGQd955B1FRUUpbE2znzp2IioqCtbU1pk6din79+uHGjRtKia0K\nbDZbrbPriO5p3749oqKiVN6AWb16NVJSUvDll1+idevWzHE2mw0OhwNLS0s4OTnhnXfeqXffe/fu\noaCgANHR0eBwOHj58iX27t0LFosltXe7bj1bc3NzBAQEoEuXLrCxsZE4RyQSYcWKFcjIyMAHH3yA\nf/75BxMmTEDnzp2xd+9eXL16FRMnTsTYsWOhp6eHbdu2oaysrEnNHdBWOt3gk6XuncmqVatQWFjI\nzBwMDg5Gfn4+ysvLsXz5cpw5cwZmZmaYM2cOc9+//voLz58/x/jx45l3Lv8dx2dvbw82m60Vg0MJ\nUYVRo0Zh1KhREAgEWLZsGQQCAdavX898NHXmzBmcPn0aM2bMkFgGQdaq9926dUNcXByGDRvWoBfA\n8PBwZGRkYO7cuRr7WIyQxvjggw/euC+tMtRNLqqoqEBmZqZEg6+us+LWrVu4fv06oqKi8N5770lM\nIggKCkJsbCzatWuH+Ph4BAQEyJwwUVZWhjlz5qC4uBghISHo3r271NfAmpoapKWlQSAQ4MKFC8jK\nysLly5fRuXNnVFdXA6hdi7OOhYWFVq7x1xTpdINPKBQiPj4ednZ24HA4OHXqFCorKxEYGAg2m818\nfPvXX3/B398fHTt2xMOHD9G3b18UFhYiKSkJXC4XIpEIQO2TcPfu3aiurkbbtm1ljpXr2bMnwsPD\nFf4oqqKiAhUVFWr9WJgQeYlEIuzcuROXLl1Cy5YtkZ2dDR6PB4FAgDNnziA3NxdxcXFMg4/P52PD\nhg3w8vLCsmXLANROzggJCUHr1q3x559/Nuj6FRUVzP6ejx8/1trJY4So24ULF3Dp0iVMnToV69at\nQ1ZWltT6+OWXXxATE4Pi4mI4OTmhrKxMonHVpk0bpie7buIiAGZN29cdP34c//77L/T19SU+VSsp\nKQGHw2GWHuFyufjyyy+Rm5sLS0tLXLp0CSNGjABQOw59xIgRWr/cW1OlFQ2+69ev4+TJkygsLISH\nhwdmzpyplBb9jz/+iEuXLiEgIABDhw7F4cOHAdQuxli3TMTu3bsRHx+PnJwcfP/998z6fHFxcTAw\nMACHw2He0XC5XIwePRoJCQn1BrempKTg3r17CAgIYNbiU4RYLMbSpUuRnZ2N0NBQZpYxIW+jqnr6\nLz6fj+vXr8Pa2hojR45kZqNHRkYiLy8PRkZGEuP70tLSUFVVheTkZObY48eP8eLFC6SmpmL06NFw\ndnaWayLE9evXkZubi6lTpyI7O1uhXTYIeRN11ZMyXb58GYmJiQgNDYWNjQ0zfOm/OnbsiBcvXuCD\nDz5Az549JR7XH3/8gbt372LKlClMp4NIJMKqVauQmZmJ9evXw9HRkTnf3d0dnTp1Qq9evdCvXz/k\n5uZCKBRiyZIl4HK52L17N9ML7+Liwmyt+HqPvoGBAdq1a6f0nweppfEFpJKSknDw4EEsWrQI+/fv\nh4WFBb777julxK4bf8fhcNCiRQv4+vrC2NgYAoGAOcfd3R1lZWXMmAQul4usrCzk5+ejS5cu6NOn\nj8RHRTNmzMCqVavqFfy3336LI0eO4PTp00rJXSwWQyAQQCgUMt3chLyNKuvpdaWlpVi9ejXKy8sx\ncuRIJCcnY9asWbh79y5atGgBHo+HYcOG4eHDh/jss8/wxx9/4N1338XChQuxatUqJk7fvn0xadIk\neHh4YNGiRThy5Mhbr11WVoawsDAcOXIELVq0wNSpU7VyYgdp+tRVT8o2bdo0DBkyBDU1NcjOzsbL\nly+lnvfxxx/jl19+wfjx4+t9kvTzzz/j5s2biIqKYo7VvWErLi5GZmamxPm+vr44evQoFi5ciPDw\ncMyePRunTp1CVVUVBAIBvY5pAY338N2/fx++vr5Mt/Ho0aOxdOlSpcSeMmUKRo0axWwDZ2dnh/Ly\ncoSHhzM9Ah07dgSLxcLGjRuRlpaG4OBghISEIC8vD/Pnz0f//v3lupaPjw/4fL7SVhtns9nYunUr\nCgsLmXdChLyNKuvpdWlpaUhOToZQKMTQoUPx7bffQiwWIz4+HmfPnoW1tTWmTJmCvXv3orCwEA8f\nPsSwYcPqDYPQ09PDmDFj8OrVKxQUFDDLJr2JsbEx/P39kZOTAzc3N4hEItTU1CApKQl//PEHhg4d\nKvHxEyGNpa56UrYOHTqgQ4cO8Pb2xp07d966R/SyZcuQlZWFkJAQZhmyTz/9FHfv3pWoWUNDQ6xd\nuxZ8Ph8//fQT7t27hxkzZtSLV/eRrr6+PrZt2wZ9fX2t7xVtDjTe4BswYIDE1OykpCSYm5srJTaL\nxUJUVBRSU1NhZWWF0tJSZm/d2bNnY/PmzWjTpg2MjY1hZGSEpKQkALXdypWVlfVmF71Jjx498Ouv\nv+L69esYNWqUUmbwWVpa0n68pEFUWU+vMzc3R+fOnWFsbAxnZ2eEhoYiIyMDQqGQeVcvEokwceJE\nODk5wdfXFwBw8+ZN7NmzByNGjMCECROYeMbGxjAwMJDrDROLxcKCBQuY28uWLUNaWhpatmyJFy9e\noKqqihp8RCnUVU+q8vDhQ/z9998oLS3FkiVLZJ5XN0697n8AUt+gAUC7du2QlJSEjIwMlJWVSW3w\nzZgxA/3794e7u7tad5Igb6bxBt/rjarLly8jPDwcs2bNUkrsFy9e4OjRo4iPj4ejoyOsrKzg5OSE\n7Oxs5ObmIjc3F25ubvj1118RFRUFV1dXZGdnIysrC1wul3lHkp+fDwsLizdu5+Ls7Iw+ffqAxWLJ\nNX1cLBbj1q1bcHNzg52dnVIeLyGqrKfX2dvb4/vvvwebzWYWZK17Idy8eTNEIhEKCwuRl5eHMWPG\nMPdLSEhAVVUVnj17JhHPzc0NZmZm6NChQ4PyEIlEyMzMhEAgQI8ePWBnZ4ehQ4dKPTcuLg4AZC4u\nS8h/qaueVKVuYeQ3LZAMAFu2bMHFixelfq+6urpeo23gwIEQCARSZ9SLxWKcPXsWHA5HYtMConka\nb/ABtbtehIWFITMzE0uWLFHaH+SWLVvCw8MDhYWFcHR0xNSpU1FQUMDsX1f3ZNXT02MWZy4tLYWF\nhQVKS0tx7tw58Hg8nDx5EoMHD35joevr60ssyPw2t27dwldffQUzMzP88MMPtB8nURpV1VOdyMhI\nnD17FtOmTWN67gDgt99+Q05ODjIyMhAXFwehUAgOh4Ply5fD29sbABAYGAhHR8d6kyz69esHf3//\nBu9cwWazsXHjRmRnZ6Nbt27g8XhSFx5PS0tjBq7v3r2blkwiclN1PQG1b4RsbGwkPva8f/8+hEKh\nQmtdDh8+HAMHDmRmyN66dQspKSkYOnQoDh48CGdnZ7z//vtISUnBkSNHwOFw8MMPPzDj1ut2y5gw\nYQLGjRvHxK2bwChNYmIis3GDj48PWrZsCaD2tfVNW6xFRESgrKwMkyZNeuv6t6RxNP5TLS8vR0hI\nCNq1a4fg4GCZs1v5fD74fD5zOzAwUK51t0QiESwsLODv719vf9mqqio8efIEzs7OzF6CPB4P4eHh\nCAkJweXLl2FhYQE9PT2Ul5eDx+OBy+UqZb2vdu3awczMDO3bt1fqRwTKyo/ivd3x48eZrz08PNSy\nefjbqLqeuFwu+Hw+SkpKEBsbCz8/P5iYmKCoqIj5eZibm0NPT4+ZSFE3iQOora//vnAo+vtzd3dn\nZt3Liufo6Ah7e3uwWCw4Ojq+dZcAZeZH8XS7nhSpJR6Ph1u3bmH9+vWws7PD7t27wWazUVJSgm3b\ntkEsFiMsLAxt27aVO95/1R0TiUT45ptvIBQKUVpailu3bgGonbjRvn17ODk5wdraGnZ2dtDT02Mm\nMOrp6SErK0vu36OHhwcGDhwIPT09tG/fHnp6eoiLi8PKlSvh5uaGHTt21LtPdnY2Tp48CaD2zZ+X\nl5dc19Kl57+y40mrJ403+C5cuAAHBwfMnz//jedJ+wMgzxZiQ4YMQWVlJXx8fBAVFYWDBw/io48+\nQs+ePTF16lTcvn0bXbp0Yd7d1OnduzcyMzMxceJEZqp4SUmJzB6EhrK1tcWBAwdgZmam1K3QlJUf\nxXv7eYGBgUq7rrKoup54PB6mTJkCe3t7/Pnnn7hy5QoWLVqEXr16YdSoUcjJycHEiRORm5uLtm3b\noqKiAubm5jJjv/7zTk1NBYvFYnoE0tPTERoaCkdHR6xZs0au3j9Zvz8Wi4Xdu3cDqP3ISd7njK48\nX7U9XlOuJ0VqqaSkBCKRiNk+bPLkydDX18eWLVvg4OCA6upqGBoaSsQTiUT49ttvUVJSgqCgIBgZ\nGaGkpAROTk4oKSmBUChk1pG1t7dn6gkABg0ahBcvXiAgIAClpaXQ19dHZWUluFwudu3aBaB2fcu6\n/CZMmID27duje/fuDXpe1G0VVxcrPT0dAoEA2dnZUuMYGhpiyJAhEo9DHrry/Fd2PFn1pPEGX0JC\nAv799996+3EePXpUKfEHDx4MHo+HGzdu4Pr164iJicH9+/dx8uRJJCcno6amRuo2MQMHDsTAgQMl\njhUUFMjdMyAP2nidKJuq6wkAHBwcMGjQIJw9exbx8fHYuHEjtm7dKjEJo26JB3Nzc+Tk5ODw4cPo\n2Q9jTFkAACAASURBVLOnxK4br8vMzERwcDCqq6sRGhoKLy8vpKWloaCgAGVlZaiqqlJ46RWqN9JQ\n6qgnT09P7Nu3D0VFRZgxYwaz5MlXX30FoHZninXr1qG4uBirVq1CTU0Nrl69CqB2EkndlqB1q0qs\nX78ekZGRMDExgYuLC3766SfmuT99+nTmuvn5+Xj8+DFat27NLHz8X8bGxujXr5/Cj9HX1xdr1qyR\nuqByaWkpTE1NMXXqVIWvQ95M4w2+4OBglV8jPDwciYmJcHJygoWFBTw9PXHo0CFkZGRALBbjvffe\ne+sYut9//x1fffUVevfujY0bN6o8Z0IaQx31BNSOj928eTO2bNmCuLg4hISEYNu2bcjMzERERAQu\nXboEQ0NDnD17FpcvX0ZUVBTi4+PrNfhOnDiBiIgIfPTRR2Cz2UhISMC6deuwZ88eeHt7IygoCLa2\ntjIbe9JW/CdEWdRVT1ZWVrCyskLLli2Rm5sLPp/PTHgoLS3Fo0ePIBaLkZaWBg8PD3z22WcoLi5G\np06d8OuvvyI3NxepqakAgLt376K4uBg1NTVo2bKlzPowMTEBAIU7MfLz87Fu3TrY2tpixYoVMl9L\nO3fuXK+H6o8//sCBAwcwfPhwavCpgcYbfKr29OlTeHt7o6ioCKWlpVixYgVGjhyJkydPoqamBgBQ\nVFT01jgJCQnIyMjA5cuX8erVKzg7O6s6dUK00tq1axEbG4tVq1ZBT08PBQUFsLS0RF5eHiIjI/H3\n338jLy8PJiYmyMnJQb9+/fDixQupWzvFxMSgsLAQKSkp2LlzJ4KDg8Fms8HlcsFiseDv7y8zj4sX\nL+KHH37A+PHjJcYFEtJUff7554iJiZEYb25hYYHg4GAUFxczHx2/PhO9bqZ83cLGCxYswKFDhzB9\n+vR6vXOxsbHYs2cP3n33XSxevBiFhYUNWn5MmpSUFLx69QoZGRmoqKiAkZERMw5RT0/vjRM1srOz\nJf4nqqXTDb5nz54hNDQU+vr68Pf3x4ULF3DlyhWMGjUKHh4eWLhwIZKTkzFt2jTmPmFhYfjrr78Q\nHBwsUSyfffYZ4uPj4eDgAFtbW4nrCIVCPHnyBG5ubgpvqUaINrt37x5OnTqFmpoa3Lt3D7dv3waL\nxUKvXr3QrVs3iEQi/P3333B0dMT777/PrIe3fPlyqfHmz5+PK1euYNCgQeDxeNi/fz9EIhFMTU2R\nnp6O58+fo0+fPlLX8kpMTIRQKMTz589V+pgJUZcePXqgR48eEsfi4+Ph4uJS73Wnjo+PD9LT05n7\nBQQEwMHBgZlZPH78eObc2NhY5OXlISYmBh9++CFsbGwQExODmzdvYvz48bC3t29wzl27dsWsWbNg\nbW2NM2fO4PTp0wgMDMSZM2dgZGSEXbt2yWz0TZgwAZ06daKtQ9VEpxt8dXvampqaYsyYMbh37x7i\n4+OxZ88eXLlyBfn5+bCyskJ4eDjmzJkDsViMo0ePoqCgAOHh4RINPlNTU3z77bdSB00ePXoUp0+f\nhp+fHxYtWqTuh0mI2piamqJt27bQ19fHxx9/jIyMDGRnZzO7D/To0QNbt25FRkYG0+tWU1ODU6dO\nwd7evl6PnZOTk8TyDnXLRwDA1q1b8erVKxQWFtZbAiI/Px+TJk2Cm5sbs+QLIbpm48aNOHToENq3\nb4+TJ09KTCysM3LkSIwcOVLitSkuLg75+fmIiYmRaPCNGTMGxsbGEo3KI0eOIDU1FRYWFpgyZUqD\nc2SxWBg8eDCA2o9oRSIRkpOTUVlZCQDMJ2nS6OvrK7TsDGkYnW7wWVpaYufOnTAxMQGXywWbzYZI\nJEJ5eTk4HA6zi0XdQsksFgvz5s3D+fPn8cEHH2DWrFlwcXGR2TtRp24MRN2YCEJ0VYcOHXDw4EEY\nGBiAy+Vi9erVWLt2LcaNG4fFixejZ8+eaNeunUTD7sCBAzh69ChsbW3h4+MDQ0NDXL9+HdevX8fs\n2bNlfqTk5uaG7OzservWnD59GocOHaJxP0Rn5efnIz4+HmlpaQBqP0VqyFjV0aNHw8jIqN56l6am\npvD19UVWVhZevHgBDw8PjBkzBjdu3GDWolXE3LlzERsbi169eiEjIwOGhoYSy4hkZWWhqKiI1sHU\nEJ1t8IlEIixZsgRFRUUICQlBfn4+Hj16hJqaGowcORIzZsyAsbExxGIxM/4hOzsbEydOxMSJExEV\nFYW8vDyUlpYyuwZcvHgRQ4YMgYWFBYqKirB9+3ZYWVkhKCgIfn5+zFp+hOiy1/+A37p1C+Hh4aip\nqcHcuXMhFArRoUMHbNy4EadOnYJYLMbVq1dRVlaGvn37MkMeTp8+jdTUVFy6dEmiB+J1n3/+OebN\nm1fvha6wsFDif0KamsrKSqxfvx5lZWVYvXq1RM82AGzfvh3x8fEICAhAQEAAPD09cfbsWfTr14+Z\nAV9RUYGYmBh07dqVqcmqqirk5ubC3NxcYoebOt988w32798PIyOj/2vv3uOiLPP/j79mQBQQUEAO\ng4DrWWGNDFBKF/KYp1LMw2atm6Wm6LruxlZr3yxds1LbksqzKVQeSEVZdbFMNjwCiRhCbYCcAtRE\nDnIaYOb3hz/uFQETGIGmz/Px6PHwvueez1wzzLu57uu+7vuma9eueHt7s2rVKoOciQu3Bllq7z9/\n5z3gb9y4wZ///Ge0Wi3//Oc/m3X4WLSM0Xb49Ho9VVVV1NTUUFVVRVxcHFeuXEGn0/H++++zYcOG\nOtuHhIRw+vRp5syZw/jx43n44YepqKjAxcUFtVrNnj17iIqKIj09nVdeeYX09HRSUlJQqVQ8//zz\njc6vEMIYVFZW8uqrr6LVannjjTfo0qULycnJFBYWYmNjw/Xr1+tccys7O5uUlBQuX75MdXU1HTp0\nYPLkyVy/fp2uXbsybtw44uLimDBhAsXFxaSmpuLl5VXvDL+GRjVmzZqFl5dXk2/DJkR7UVBQQFJS\nEtXV1eTl5dW7XIlGoyEhIYH9+/fz4IMPkpiYSGJiIgkJCSxfvhy1Wk1YWBjHjh1j6NChyn1y//GP\nfxAeHo5er2fBggUsWbKkTt3MzExMTU0xMTHBzMzsni7obChqtRpTU1N0Ol2Dh6bF/We0HT4TExPe\neecdampqsLe3Z8eOHXTs2JGOHTs2+CWvnW+g1WpJSkri4MGDTJ48WZl0bmJiwuXLl5VgPvDAAzzz\nzDN07drVoFfSFqI9Ki0tJTMzE7VazU8//URKSgqrV6+mrKyMqqoqunfvTklJCdXV1axevZpx48ah\n0+n47rvviIyMpLy8nGXLltG5c2dsbW3Jycmha9euSk6Tk5Pr3b7pypUrhIWF4evrW2cEokOHDvUO\nVQnxS+Ls7ExwcDBFRUXEx8ezefNmFi1apFxkedGiRfTs2ZOQkBCOHj2Ku7s7RUVFnDp1ivDwcGbM\nmIFGoyEvL4+MjAx0Oh2Akke4dSHz2os6196qzNPTkwsXLjBv3jymTp1abwdLp9NRVFSkTHdqqvLy\ncqqrqxv8TbSxsWHLli0UFxfXuYWcaD1G2+GDW8PLer2etWvXUlpaSv/+/Xn22WeZMGFCvW0nTZpE\ndXU13t7ehIWF8dVXXxEfH8+mTZtwcHDA1taWPn36KMPparW60XsJCmFsbG1tmThxIgUFBTg5OfHi\niy9y8eJFzM3N0Wg02NnZ4erqSkZGBp999hnHjh1j+fLl2Nvb89///pfExERSU1OBW3Nda2pqlA5f\n7VSIO6dEREdHc/bsWdLT0w12yEmI9sLf35/9+/ezd+9eVCoVcXFxHDp0iJs3b7Jy5UrGjRtHWVkZ\nn3zyCRqNhtGjRxMdHU1VVRXffvstbm5uODg4kJ+fT3Z2NjY2NqxYsYJHH32UoqIixowZw/Tp08nK\nymLdunUMGzaMmJgYqqqquHbtWoPXy/vwww/5z3/+w/z585t8qaPKykqWLl1KSUkJb7/9doOXLrOx\nsZH7xrcho+7wASQkJHD27FkANmzY0Oih188//5ykpCQiIiKYMmUKUVFRVFZWcvLkSQIDA5kyZQo9\ne/aUkQXxq1ReXk5kZCQmJib079+fsrIyOnXqhLe3N88++yyPPPIIr776KpmZmVhaWlJZWUlWVhZv\nvvmmclhXq9WiVqtRqVQMGzaMt956Czs7OxYvXsycOXPqjQoEBASQnZ2Nr69vG71rIe6f8+fPs3nz\nZsrKypg2bRqjRo3iyy+/pKKiQsnJk08+iVarVY5UOTk58cMPP7B3715u3ryJqakp/v7+nDt3jpqa\nGnr27KkMaJSUlJCRkUFpaSkxMTFoNBquX7+OqakpI0eObLBNTZkfW1FRwYULFxg0aBAWFhbodDrl\nrjgVFRUA/Pjjj2zfvp0hQ4bUu5e9aH3tosOXlpbGRx99xJUrV/Dw8GDRokUGO0w6ZMgQxo4di4uL\nS6OdvZiYGOzt7XFxcWHIkCH079+fFStWkJCQoJy5VF5eTmpqKk5OTmg0mkZfLzw8nNLSUp5++mll\nGF2I1nQ/8tSpUyeGDBnC5cuX8fHx4a233iI7O5sRI0YQExPDvn37OHnyJDU1NVhaWjJp0iS8vLzo\n27cv6enpmJiYYGpqip2dHV27duXChQucPHmSp556CrVa3WD7HB0dlblJQrSV+/X75OLigl6vp2/f\nvvzxj39ErVbz9ttvM2XKFGbPns3HH3+Mvb09+/fvp7y8HJ1Oh6WlJT4+PpSXl6PX6+nWrRsXL15k\n9+7duLi4sGLFCmUHycrKinfeeYezZ8/ywgsvYGlpycMPP4ypqWmjc/eWLl1KWlqacpePu9mxYwdf\nfPEFQ4cOJTg4GHNzc9asWUNZWZlS/+TJkyQmJpKXlycdvnagzXskOp2O9957j8mTJ+Pn58eOHTsI\nCwtj4cKFBqnfqVMn5s6d2+jj+fn5vPHGG1RWVmJtbc1HH31Ejx49CAwMZOHChUqn7fDhw4SHhxMb\nG8vatWsbrHX16lX27NkDgLe3N56engZ5D0Lcq/uVp8rKSiIiIrhx4wYHDx5kzpw5DB48mHPnzvHK\nK69QVFSkTMo2MTEhJiYGGxsbioqK6NOnD1qtlh49erBixQpeffVVsrOzOXPmTJ377wrR3tzP36dL\nly6hUqm4du2acnJSSUkJ+fn5ysX8J0+eTEBAAIWFhZSUlGBhYYGnpyf/+c9/KC4uVm7J9s0335Cf\nn1/vwv8jRoxgxIgRynLtreKKi4t5+eWXSU9PZ+LEico9djt37swDDzxwT+13cHAgLS2NGzduMHXq\nVHr27FnvzNvRo0dTUFDA4MGDm/05CcNp8w5fSkoKarVaGWKeOXMmS5YsYe7cuQ1eXd/QMjIyKCws\nRKvVYmdnx48//khJSQmlpaVcvnyZkpISnnzySYYNG8bJkyfvOpfI3t6eCRMmUFJSQp8+fe5724W4\n0/3K08WLF8nLy6Oqqorc3FxlvYuLCxYWFpSWlmJvb8+4cePQarUkJibyySefMHnyZDIyMvjDH/5A\nly5d2LZtGz4+PgwfPly5vl5GRgbbt2/nkUceYezYsS16/0IY0v38fRowYABubm706tVLOVlCo9Gw\nbNkycnJyKC8vJyUlhUWLFtV5XlRUFBUVFVy9epXjx4/z0Ucf8e2339KhQwfc3d3rvU5FRQVlZWXK\n/HOAf/7znxw8eJCamppm3yZ00qRJHDhwgPLycsrKyhrcxtbWlgULFjSrvjC8Nu/w5ebm4urqqizb\n2trSsWNHrl+/3irX6XF3d+fBBx9Eo9Ewd+5cCgsLOX78OA4ODiQkJJCfn09UVBSzZ88mJCSkwTtt\n1FKr1XIhWNGm7leefvvb3xIYGEhlZSV/+ctfANi6dStHjhxhwYIF+Pr6cuPGDYYMGUJZWRlTp06l\npKSEwYMHU1VVxd69exk0aBAnT55EpVLh4uJCZGQk5ubmpKWlkZyczI0bN6TDJ9qV+/n7pNFoePfd\ndwFYs2YN586dY/Hixbi4uBATE8OpU6c4c+YMH3zwQZ3nDR8+nD179nDt2jV69+6Nl5cXwcHB2Nvb\nY2NjU2fbqqoq5s2bR3p6Ou7u7uTk5NC3b18mTpxIREQEDg4OSp5rlZSUcOHCBR599NG7tr9Dhw6s\nXbuWoqIi+vbt26LPQrSONu/w3bx5s95FJ83NzSkpKWmVDp+zszNbtmxRlrt3746npyd6vR4HBwe2\nbdvGgAEDWmW0UYiWul95qp2fY2VlRWFhIRs3bmTLli2UlZWhVquZNGkS1tbWpKamYmlpSWZmJhUV\nFcyePZuysjK6d+/OsWPHMDc3Z86cOcTHx/Pjjz9ibm7O2LFjKSkpkVssiXantX6fagcRiouLCQ8P\np6CgAEtLywY7XdeuXeOHH36gqqqK8ePH07FjR3bu3ElVVRWrV6/GwcFB2TY0NJTTp09TXl5OdnY2\npqamlJaW8sc//pEzZ84od6C63aZNm5Sz43/uVmuOjo44Ojoa4BMQraHNO3xWVlakpaXVWVdeXt7m\n17ZTqVRYWFgoh6fKy8sbvQG0EO1Fa+QpJSWFL7/8EjMzM/r168f8+fP5y1/+QkZGBpaWlgQEBODi\n4kJ2djYAPXr0oF+/fmRkZGBtbc2kSZN47LHHKCoqolevXpSUlDBv3jyDtU8IQ2mt36e//e1vZGRk\n4OHhgU6nIykpiXnz5jV4oqG7uzs+Pj4kJSWhUqnQarUUFxej1+spLS2ts621tTU2NjZUV1djY2PD\nqFGjcHJyYvDgwfXm+9VydXXl7NmzuLm5GfQ9irbX5h0+Z2dnIiMjleWCggIqKyvrzDeAWxNcL126\npCxPnz79nkJnZmbW7HD+7ne/4/vvv8fZ2VnZa2pJPUO3T+q1bb29e/cq//bw8MDDw8Ng7Wiu1sjT\ngw8+SEBAAFZWVixcuJCKigo+/fRTTE1NMTU1xcrKin379nHw4EGGDRtGr169sLKy4vz58zg6OiqH\nnezt7Y3q+yD1Wlbvl5onQ/w2WVlZKfeXffrpp3/2uevXr+fbb7/Fy8sLMzMzQkJC0Ol09c6+nTNn\nDqNHjyY+Ph5fX1/lvvF38/zzzzN79mwsLS3RarU/u31TGNP3tb3XayhPKr1erzdYa5pBr9ezePFi\npkyZgp+fHzt37kSv19/TWVC3Tx5vzN3m3DWH1JN6wF0vzdOW2ipPRUVFaLVatFotjo6O93xJImP5\nPki9ltUztjzJb1Pr1JR6DWssT21+yWuVSsXSpUs5cuSIctLEM88809bNEuIXqa3yZGNjQ7du3XBx\ncZHrTwqjIb9Pwpi0i/8z9+rVi3Xr1rV1M4QwCpInIQxH8iSMRZuP8AkhhBBCiPtLOnxCCCGEEEZO\nOnxCCCGEEEZOOnxCCCGEEEZOOnxCCCGEEEZOOnxCCCGEEEauzS+8LIQQQggh7i+jH+G7/fYiUk/q\ntXY9Y9PeP2+pZ9z1jEl7/6zvx9+uvbfR2OsZfYdPCCGEEOLXTjp8QgghhBBGzuT1119/va0bcb85\nODhIPanXZvWMTXv/vKWecdczJu39s74ff7v23kZjricnbQghhBBCGDk5pCuEEEIIYeSkwyeEEEII\nYeSMdg5fWloaq1atIiwsjO+//x4vLy86duzY7Hpff/017777Lrt37+aHH37Aw8ODTp06tbidWVlZ\nLFiwgEcffRRzc/Nm17ly5Qpr165l69atnDp1CldXV7p169bsel999RXvvvsuu3btIi4uDjc3N+zs\n7JpcJzg4GDc3N+zt7QGIiIhgzZo1HDp0CL1eT//+/VtUs6Kigq1bt7Jx40YOHz5MdXU1AwYMaHb7\nau3atYuIiAj8/f2b3D5jJHkyzjwZMksNta+W5Ol/DJ0luD95MlSWQPLUXvJklCN8Op2O9957j/Hj\nx7N582ZsbGwICwtrdr309HR27tzJ0qVL2bRpE126dGHz5s0GaeemTZuoqalpca333nsPLy8vtm/f\nzowZM3j//febXaugoICPP/6YJUuWsHPnTvz9/QkJCWlSjYqKCvbu3UtWVhYqlQqAS5cuERUVxapV\nq1i5ciVRUVEkJye3qObu3bspLi4mJCSE5cuXc+LECWJjY5tVq1Z6ejr/+te/6q3/tZI8GV+eDJml\nxurVkjz9j6GzBPcnT4bMEkie2kuejLLDl5KSglqtZuTIkVhYWDBz5kzOnDlDVVVVs+qdP38ePz8/\nevToQadOnXjiiSe4dOlSi9sZERHRrBGuO6Wnp1NRUcHkyZMxMzPD19eXv/71rzT3fBy1Wo2JiQkq\nlUqp0dQ90GXLlnHgwIE666KjoxkzZgxOTk5oNBrGjBlDdHR0i2p+8803BAYGYm5ujkaj4ZFHHiEp\nKalZtQCqq6vZtGkTo0ePbvbnZ2wkT8aXJ0NmqbF6IHm6k6GzBPcnT4bKEkie2lOeTJv8jF+A3Nxc\nXF1dlWVbW1s6duzI9evXcXJyanK9gIAATExMlOX09HRsbGxa1Mbs7GxOnz7Nm2++yb/+9a8W1crM\nzMTW1pa3336b5ORkXF1dmTt3brP3qLt06cLEiRP5+9//DoBKpeK1115rUo1169YBEBQUpKzLy8tj\n6NChyrK7uzvnz59vUc2//vWvdO/eXVlOT0+nX79+zaoF8Pnnn/PQQw/h4OBAdnb2PbfNmEmejC9P\nhsxSY/VA8nQnQ2cJDJ8nQ2YJJE+12kOejHKE7+bNm1hYWNRZZ25uTklJSbPq2dvb07VrV+DW3IFN\nmzbx+9//vtnt0+l0bNy4kXnz5mFmZtbsOrWKiopISkpi+PDhbN26FW9vb9auXdvs4fgrV65w+PBh\nXnnlFcLCwpg+fTrbtm1Dp9O1qJ0lJSV15oK05G9Sq0ePHpiamnLz5k3Wr19Pbm4uo0aNalat9PR0\nEhISmDp1aovaZGwkT7+OPBkySyB5aoihswSGzZOhswSSp/aUJ6Ps8FlZWVFWVlZnXXl5OVZWVs2u\nWVhYyMqVK9m3bx8vvvgifn5+za516NAhevfuTd++fQ1ymKNTp0707t2bhx9+mA4dOjB58mTKysrI\ny8trVr2EhAQGDhyIl5cXZmZmBAYGUlhYSG5ubovaaWVlRXl5ubLc0r9JrQsXLrB06VK0Wi2rVq3C\n2tq6yTWqq6vZuHEjc+fOrbO3LCRPv6Y8GSJLIHlqzP3IEhguT4bOEkie2lOejPKQrrOzM5GRkcpy\nQUEBlZWV2NraNqteWVkZr732Gn369CE4OLjFZz99++23fPfdd3z55ZfKusWLFxMcHIyXl1eT6915\nKECv17dogrRaXXc/oDb4d65vKmdnZ7KysnjooYeAW0P9zs7OLaoZHx/P+vXrmTdvHsOGDWt2nRs3\nbpCdnc3y5cuBW3u6er2eBQsWsGHDhha18ZdO8vTryJOhsgSSp8YYOktg2DwZOksgeWpPeTLKDt/A\ngQOpqanh+PHj+Pn5sWfPHvz8/Jo9RB0VFYWzszOLFy82SPv+7//+r87yjBkzCAkJaXboBw0axKZN\nmzh9+jTe3t4cOXIEKysrNBpNs+p5eXnx6aefkpiYyIABA4iMjKRLly4t7pwFBATw4Ycf4ufnh16v\n54svvmDRokUtqhkWFsaCBQtaNEIE0K1bN3bt2qUsR0dHExMTU+9v9Wskefp15MlQWQLJU2MMnSUw\nbJ4MnSWQPLWnPBllh0+lUrF06VI++ugjtm/fjqenZ4v+cKmpqSQmJtabF3H7H6AtqdVqli5dysaN\nG9mwYQO9e/fmxRdfbPYej4ODA0uWLCE0NJSffvqJ3r17Exwc3OLLKnh4eDB69GiWLVuGXq/n8ccf\nZ+DAgc2uV1paSn5+PuvXr2f9+vXKen9/f1544YUWtRWQy0j8f5In48/T/c4SSJ7A8FkCyZPkqQnP\nkXvpCiGEEEIYN6M8aUMIIYQQQvyPdPiEEEIIIYycdPiEEEIIIYycdPiEEEIIIYycdPiEEEIIIYyc\ndPiEEEIIIYycdPiEEEIIIYycUV54ub0JCgrip59+UpZVKhWOjo5MmTKFgICAtmvYPYiOjmbDhg3s\n2bOnzvrDhw8TGhrKzJkzmTJlCkFBQYwbN46JEye2UUvFr4XkSQjDmTFjBgDvv/9+vdugXbx4kVWr\nVmFvb8+HH374s7XuzKZarcbJyYnHHnuMsWPHGrbhd7F3717OnTvHunXrGnw8Ojqa7du3ExoaSnR0\nNMnJySxcuLDV2tdWpMPXSsaPH8+ECRMA0Gq1xMXFsWHDBpycnOjfv38bt65pvvrqK0JDQ5k6dSpT\npkwBYOXKlZibm7dxy8SvheRJCMNRq9XExsby+OOP11kfGxuLWq1u0l0d7sxmfHw8oaGh3Lhxg5kz\nZxq03aJp5JBuK7G0tMTe3h57e3s0Gg1PPPEEbm5uXLhwoa2b1iSnT59m8+bNPPHEE0yfPl1Zb2tr\nKz9QotVInoQwnH79+hEXF1dnnV6vJz4+ngEDBtCUG3Ldmc3HH3+cGTNmEBERQW5urqGbLppARvja\nUE1NDZ07dwbqDjHX+vDDDykpKeHll1/m0qVLrFixgpdeeokdO3YwatQoHn/8cU6cOEF4eDglJSU8\n9NBDdOvWjdTUVJYvXw5ARkYGO3fu5IcffsDS0pKRI0cybdo0VCpVozUbk5CQwAcffMC4ceN46qmn\n6jx2+yGo119/nb59+1JWVsaZM2cwMzNj4sSJyl4fwIEDBzhy5AharZbhw4ej1WoBfhXD6uL+kDxJ\nnkTz+Pj4EBYWRmFhIV26dAEgLS2NsrIyBg0axBdffKFs+9133xEaGkpmZiZdu3ZlzJgxd/2eA4wa\nNYo9e/Zw6tQppk2bBtza2QkPD+fq1as4ODgwbdo0Hn74YeBWVvV6PQ4ODhw/fhydToe/vz9PP/20\nUvPQoUN88cUXFBQUYGdnx+TJkxkxYkSDrx8XF0dYWBjXr1/nt7/9LQMGDGhwu/LycrZt20ZCQgI6\nnY6BAwfy3HPPYWtre+8fZjsmI3yt5PY9JK1Wy/Hjx7lx44byBW+ISqWqN5T+2Wef8dxzzzFqhrWw\nKwAACNFJREFU1ChSUlLYsmULgYGBvPnmmzg5OXH06FFl29LSUlauXMmAAQNYvXo1QUFBnD59us42\nd9ZsTHJyMuvWrcPd3Z3Zs2f/7Ps9evQonTt35o033mDs2LGEhoaSnp4OwNdff83Bgwd59tlnWbly\nJTU1NZw6depnawpRS/IkeRKGY2dnx29+8xtiY2OVdbGxsXh5eWFmZqasKyws5M0336R3796sXr2a\nmTNnEh4ezsmTJ+9a38LCAjs7O7KysgBISkoiJCSEkSNHsnr1akaMGEFISAiXLl1SnnPu3DkKCgpY\ntmwZs2bNIjIykrNnzwJw9uxZDh48yJw5c1izZg1+fn5s2rSJ/Pz8eq+dn5/Pu+++S0BAAG+99RYe\nHh58/vnnyv8LAgIClB2j8PBwcnJyWLZsGcuXL6eiooKNGzc281Ntf2SEr5Xs37+fiIgIAKqrqwHw\n9/fHxsam0ec0NIw+a9YsHnjgAQCOHDmCr6+v8sMyc+ZMEhMTlW2PHTtG3759lUNFrq6uTJs2jc8+\n+4zx48c3WLMx77zzDg4ODqSnp5OYmPiz22s0GmW+Rvfu3Tl48CCpqan07NmTI0eOMHr0aOXHee7c\nuXzzzTd3rSfE7SRPkidhWL6+vsTFxTFmzBgA4uPjCQwMpKioSNnm3//+N3Z2dsyZMwcANzc38vPz\nG+xo3cnKyoqKigoA9u3bx/Dhw5WTktzc3MjOzmbfvn14eHgAYG5uzrx581Cr1bi5uXH48GHS0tIY\nOnQopqamzJ07lwcffBCAJ554goiICLKzs+udeHLs2DF69uxJYGAgcCu3KSkpdTqXtXJzc3FxcaFn\nz54AzJ8/n6SkpHv/ENs56fC1ktGjR/PYY48Bt36gcnNz2bVrF9u2bWPevHn3XKdHjx7Kv/Py8hg6\ndGidx/v06UN2djYAmZmZXLhwgVmzZimP6/V6dDqdcsjnzpqN8fHxYf78+bz22mts2LCBdevWYWlp\n2ej2v/nNb+osW1hYKK+Zl5dX5wdSrVYrARPiXkieJE/CcFQqFb6+voSHh1NWVkZhYSH5+fkMHjyY\nEydOKNvl5OTQu3fvOs998skn7+k1iouLsbOzAyArK4vf/e53dR4fOHAgYWFhyrKrqytq9f8OQnbu\n3JnKykoAvL29uXjxIrt27eLKlStcvnwZAJ1OV+c9wa1OXPfu3eu8Vv/+/RvsyI0aNYr333+f+fPn\n4+npyaBBg3jkkUfu6f39EkiHr5VYW1uj0WiUZTc3NwA++OADnn/++QafU/vlvl2HDh2Uf3fs2LHe\nqMXtw+8VFRX4+Pg0eGaUqen//vS312zMwoULUalUBAUF8dJLL7Ft2zb+9Kc/Nbr97e1o6LHbg1n7\nXoS4V5Knuo9JnkRLubi44OjoyDfffMP169fx8PDAwsKizjZ6vb5JZ+zWKi0tpaCgAH9//3t+zt1y\nFBoaSkxMjDKy/dRTT7F48eIGt+3YsWO9fHTq1KnBbb29vdm4cSMJCQkkJSXx6aefcuDAAd555527\nZvCXQubwtSGtVouJiQlqtZoOHTpQVVWlfDH1er2y19KY7t27k5qaWmfd7c/RaDRcu3YNjUaj/JeT\nk8OhQ4fq7Dndi9qQu7i4MGPGDE6dOqXMp2hs28a4urrWabdOpyMjI6NJ7RHiTpKnWyRPorl8fHyI\njY0lPj4eX1/feo9379693nfrgw8+qHNyVEOioqKoqalh2LBhwK0dtOTk5DrbJCcn4+7ufk/t/Oqr\nr5g1axbTp0/H19e3zg5XrdqdN1dXV2W+a6309PQGc/Xxxx/z448/MmzYMF544QVWrlxJXl4eOTk5\n99Su9k46fK3k5s2bXL16latXr5KXl0d8fDzh4eEMHz4cuPWl1Ol0HDhwgKysLHbu3ElxcfFda06Y\nMIGLFy9y6NAhsrKy+Pzzz+sMU48ZM4asrCw++eQTMjIyiIuLY8uWLfd0yOluJk6cSN++fdmyZQuF\nhYX1Hv+5U/gnTpxIdHQ0J06cIDMzk48//vie5oAIUUvyVPf5kidhCL6+vpw/f560tDR8fHzqPT5m\nzBhyc3PZvXs3WVlZREVFcfr0afz8/JRtbs9mdnY2+/fvJzw8nMDAQGV+3dSpUzl58iSRkZFkZWVx\n6NAhYmJilHl2Dbk9B9bW1sTGxpKTk8OFCxdYt24darWaK1euKHN6b2/ztWvX+OSTT8jMzOTYsWOc\nPn26wdf46aef2LFjB99//z05OTlERUVhbm6Os7Nzkz7H9koO6baSo0ePKmfzmZqa0q1bNx599FHl\ndHY3Nzeeeuopjhw5wtGjRxkxYgT+/v5cu3at0Zpubm4sWbKEXbt2sWfPHjw9PfHx8VEOXTk5OREc\nHMyuXbs4evQotra2TJo0SZn71Fy1h6KCg4PZvHkzf/vb3+o9fjeDBw/mmWeeITw8nOLiYnx9fenf\nv3+De2lCNETy9D+SJ2EovXr1wtraGjs7O+XyLLef3W5nZ8dLL71EaGgokZGRODo6smjRIvr06aPU\nuD2bJiYmuLi48PzzzzNy5EhlG09PT4KCgti3bx+7du3C0dGRoKAgPD09671mrduXX3jhBbZu3cor\nr7xCjx49eOaZZ4iOjmb//v34+fnVeb61tTUvv/wyO3bs4OjRo/To0YOZM2fWu9sNwHPPPceOHTtY\ns2YNlZWVuLu789JLLxnNNTFV+qZcUVG0K6mpqdTU1NCvXz9l3csvv0zPnj2bNHG9tSUlJdG5c2dl\nZKS6upqgoCAee+wx5U4DQrQ2yZMQwpjJLuAvWFZWFmFhYSxevBg7Ozu+/vprLl++fE/X9WpLly5d\n4uuvvyYoKIhOnTpx5MgRbt68WeewgBCtTfIkhDBmMsL3C7d7925OnDhBeXk5Go2GJ598Em9v77Zu\n1l1VV1ezfft2YmNjqa6uVg6//dLugSqMj+RJCGGspMMnhBBCCGHk5CxdIYQQQggjJx0+IYQQQggj\nJx0+IYQQQggjJx0+IYQQQggjJx0+IYQQQggjJx0+IYQQQggj9/8AfGhhdUJwlpcAAAAASUVORK5C\nYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x7f2c6a3ab860>"
]
}
],
"prompt_number": 35
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ubc84\uac70\ud0b9\uacfc KFC \ub9e4\uc7a5\uc218\uac00 \uc0c1\ub2f9\ud788 \uc5f0\uad00\uc131\uc774 \ub192\uc544\uc11c, \ub9e4\uc7a5 \ubc30\uce58 \uc804\ub7b5\uc774 \ube44\uc2b7\ud55c \uac83 \uac19\ub2e4. \ubc84\uac70\ud0b9\uacfc \ub9e5\ub3c4\ub0a0\ub4dc\ub294 \uc774 \uc14b\uc911\uc5d0 \uac00\uc7a5 \ub2e4\ub974\ub2e4. \ub9e5\ub3c4\ub0a0\ub4dc\uc758 DT\ub9e4\uc7a5\ub4e4 \ubc30\uce58\ub97c \ubcf4\uba74 \uc774\ud574\uac00 \uac04\ub2e4.\n",
"\n",
"\uc774 \uadf8\ub9bc\uc744 \ubcf4\uba74, \ubc84\uac70\ud0b9\uc740 \uc77c\ubd80 \uc9c0\uc5ed\uc5d0 \uad49\uc7a5\ud788 \uc9d1\uc911\ud558\ub294 \uac83\ucc98\ub7fc \ubcf4\uc774\ub294\ub370, \uc9d1\uc911\ub3c4\ub97c \ube44\uad50\ud574 \ubcf4\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(4, 3))\n",
"for col, label in [('B', 'Burger King'), ('K', 'KFC'), ('M', \"McDonald's\")]:\n",
" cumulv = np.cumsum(sorted(BMK[col], reverse=True)) / BMK[col].sum()\n",
" plt.plot(cumulv, label='{} ({})'.format(label, int(BMK[col].sum())))\n",
"plt.legend(loc='best')\n",
"plt.xlabel('Number of districts (si/gun/gu)')\n",
"plt.ylabel('Cumulative fraction')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 36,
"text": [
"<matplotlib.text.Text at 0x7f2c58190e10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAASEAAADiCAYAAAABFnG1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"<matplotlib.figure.Figure at 0x7f2c59ebce48>"
]
}
],
"prompt_number": 36
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub9e5\ub3c4\ub0a0\ub4dc\uac00 \uac00\uc7a5 \ub9e4\uc7a5\uc774 \uace0\ub8e8 \ud769\uc5b4\uc838 \uc788\uc9c0\ub9cc, \uc774\uac74 \ub9e4\uc7a5 \uac1c\uc218\uac00 \ub9ce\uc740 \uac83\uc73c\ub85c \ud574\uc11d\ud560 \uc218\ub3c4 \uc788\uc5b4\uc11c, \uacb0\ub860\uc744 \ub0b4\ub9ac\uc790\uba74 \uc880 \ub354 \uc790\uc138\ud788 \ubd10\uc57c\ud55c\ub2e4.\n",
"KFC\uc640 \ubc84\uac70\ud0b9\uc740 \ub9e4\uc7a5\uc218\uac00 \uac70\uc758 \uac19\uc73c\ub2c8, \ubc84\uac70\ud0b9\uc774 \uc880 \ub354 \uc77c\ubd80 \uc2dc\uad70\uad6c\uc5d0 \uc9d1\uc911\ub418\uc5b4 \uc788\uc74c\uc744 \ubcfc \uc218 \uc788\ub2e4."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \ub86f\ub370\ub9ac\uc544 \ub370\uc774\ud130 \uac00\uc838\uc624\uae30\n",
"\uc790.. \uadf8\ub7fc \ub2e4\uc2dc \ub3cc\uc544\uac00\uc11c \ub86f\ub370\ub9ac\uc544\ub85c~~\n",
"\n",
"\ub86f\ub370\ub9ac\uc544\ub294 \ud398\uc774\uc9c0 \ud06c\uae30\ub97c \ub298\ub9ac\uba74 \ud55c \ubc29\uc5d0 \uac00\uc838\uc62c \uc218 \uc788\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"LOTTERIA_URL = 'http://www.lotteria.com/Shop/Shop_Ajax.asp'\n",
"LOTTERIA_VALUES = {\n",
" 'Page': 1, 'PageSize': 2000, 'BlockSize': 2000,\n",
" 'SearchArea1': '', 'SearchArea2': '', 'SearchType': \"TEXT\",\n",
" 'SearchText': '', 'SearchIs24H': '', 'SearchIsWifi': '',\n",
" 'SearchIsDT': '', 'SearchIsHomeService': '', 'SearchIsGroupOrder': '',\n",
" 'SearchIsEvent': ''}\n",
"LOTTERIA_HEADERS = {\n",
" 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:12.0) Gecko/20100101',\n",
" 'Host': 'www.lotteria.com',\n",
" 'Accept': 'text/html, */*; q=0.01',\n",
" 'Accept-Language': 'en-us,en;q=0.5',\n",
" 'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n",
" 'X-Requested-With': 'XMLHttpRequest',\n",
" 'Referer': 'http://www.lotteria.com/Shop/Shop_List.asp?Page=1&PageSize=2000&BlockSize=2000&Se'\n",
" 'archArea1=&SearchArea2=&SearchType=TEXT&SearchText=&SearchIs24H=&SearchIsWifi=&Se'\n",
" 'archIsDT=&SearchIsHomeService=&SearchIsGroupOrder=&SearchIsEvent=',\n",
"}"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 37
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"postdata = urllib.parse.urlencode(LOTTERIA_VALUES).encode('utf-8')\n",
"req = urllib.request.Request(LOTTERIA_URL, postdata, LOTTERIA_HEADERS)\n",
"response = urllib.request.urlopen(req)\n",
"ltr_data = response.read().decode('utf-8')\n",
"soup = bs4.BeautifulSoup(ltr_data)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 38
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"found = []\n",
"for tag in soup.findAll('tr', {'class': 'shopSearch'}):\n",
" subtag = [tag.findAll('td', {'style': 'padding-right:10px;'}\n",
" )[i].contents[0].contents[0]\n",
" for i in (0, 1)]\n",
" found.append([subtag[0]] + subtag[1].replace('\uad11\uc8fc \uad11\uc5ed', '\uad11\uc8fc\uad11\uc5ed').split()[:2])\n",
"ltr_tbl = pd.DataFrame(found, columns=('storename', 'd1', 'd2'))\n",
"ltr_tbl.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>storename</th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> \uc11c\uc6b8\ub300</td>\n",
" <td> \uc11c\uc6b8</td>\n",
" <td> \uad00\uc545\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> \uc13c\ud140\ud504\ub77c\uc790\ube4c\ub529</td>\n",
" <td> \ubd80\uc0b0</td>\n",
" <td> \ud574\uc6b4\ub300\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> \uad11\uc8fc\ub18d\uc131D/T</td>\n",
" <td> \uad11\uc8fc</td>\n",
" <td> \uc11c\uad6c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> \uae40\ud3ec\uad6c\ub798</td>\n",
" <td> \uacbd\uae30</td>\n",
" <td> \uae40\ud3ec\uc2dc</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> \ub86f\ub370\uc544\uc6b8\ub81b\ub3d9\ubd80\uc0b01\uce35</td>\n",
" <td> \ubd80\uc0b0</td>\n",
" <td> \uae30\uc7a5\uad70</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 44,
"text": [
" storename d1 d2\n",
"0 \uc11c\uc6b8\ub300 \uc11c\uc6b8 \uad00\uc545\uad6c\n",
"1 \uc13c\ud140\ud504\ub77c\uc790\ube4c\ub529 \ubd80\uc0b0 \ud574\uc6b4\ub300\uad6c\n",
"2 \uad11\uc8fc\ub18d\uc131D/T \uad11\uc8fc \uc11c\uad6c\n",
"3 \uae40\ud3ec\uad6c\ub798 \uacbd\uae30 \uae40\ud3ec\uc2dc\n",
"4 \ub86f\ub370\uc544\uc6b8\ub81b\ub3d9\ubd80\uc0b01\uce35 \ubd80\uc0b0 \uae30\uc7a5\uad70"
]
}
],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ltr_tbl['d1'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 45,
"text": [
"array(['\uc11c\uc6b8', '\ubd80\uc0b0', '\uad11\uc8fc', '\uacbd\uae30', '\uac15\uc6d0', '\ucda9\ubd81', '\uc804\ub0a8', '\uacbd\ubd81', '\ub300\uad6c', '\uc138\uc885', '\uacbd\ub0a8',\n",
" '\ucda9\ub0a8', '\ub300\uc804', '\uc6b8\uc0b0', '\uc81c\uc8fc', '\uc778\ucc9c', '\uc804\ubd81', '\ub300\uc804\uc2dc', '\uad11\uc8fc\uad11\uc5ed\uc2dc', '\ucda9\ub0a8\uc2dc', '\uccad\ubd81'], dtype=object)"
]
}
],
"prompt_number": 45
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ucda9\ub0a8\uc2dc, \uccad\ubd81 (..) \uace0\uce58\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d1_aliases = \"\"\"\uac15\uc6d0:\uac15\uc6d0\ub3c4 \ucda9\ubd81:\ucda9\uccad\ubd81\ub3c4 \ubd80\uc0b0:\ubd80\uc0b0\uad11\uc5ed\uc2dc \uacbd\uae30:\uacbd\uae30\ub3c4 \uc804\ub0a8:\uc804\ub77c\ub0a8\ub3c4 \uacbd\ubd81:\uacbd\uc0c1\ubd81\ub3c4\n",
"\ub300\uad6c:\ub300\uad6c\uad11\uc5ed\uc2dc \uc11c\uc6b8:\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc138\uc885:\uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc \uacbd\ub0a8:\uacbd\uc0c1\ub0a8\ub3c4 \ucda9\ub0a8:\ucda9\uccad\ub0a8\ub3c4 \ub300\uc804:\ub300\uc804\uad11\uc5ed\uc2dc\n",
"\uc6b8\uc0b0:\uc6b8\uc0b0\uad11\uc5ed\uc2dc \uc81c\uc8fc:\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4 \uc778\ucc9c:\uc778\ucc9c\uad11\uc5ed\uc2dc \uc804\ubd81:\uc804\ub77c\ubd81\ub3c4 \uad11\uc8fc:\uad11\uc8fc\uad11\uc5ed\uc2dc \ub300\uc804\uc2dc:\ub300\uc804\uad11\uc5ed\uc2dc\n",
"\ucda9\ub0a8\uc2dc:\ucda9\uccad\ub0a8\ub3c4 \uccad\ubd81:\ucda9\uccad\ubd81\ub3c4\"\"\"\n",
"d1_aliases = dict(aliasset.split(':') for aliasset in d1_aliases.split())\n",
"ltr_tbl['d1'] = ltr_tbl['d1'].apply(lambda v: d1_aliases.get(v, v))\n",
"ltr_tbl['d1'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 46,
"text": [
"array(['\uc11c\uc6b8\ud2b9\ubcc4\uc2dc', '\ubd80\uc0b0\uad11\uc5ed\uc2dc', '\uad11\uc8fc\uad11\uc5ed\uc2dc', '\uacbd\uae30\ub3c4', '\uac15\uc6d0\ub3c4', '\ucda9\uccad\ubd81\ub3c4', '\uc804\ub77c\ub0a8\ub3c4', '\uacbd\uc0c1\ubd81\ub3c4',\n",
" '\ub300\uad6c\uad11\uc5ed\uc2dc', '\uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc', '\uacbd\uc0c1\ub0a8\ub3c4', '\ucda9\uccad\ub0a8\ub3c4', '\ub300\uc804\uad11\uc5ed\uc2dc', '\uc6b8\uc0b0\uad11\uc5ed\uc2dc', '\uc81c\uc8fc\ud2b9\ubcc4\uc790\uce58\ub3c4',\n",
" '\uc778\ucc9c\uad11\uc5ed\uc2dc', '\uc804\ub77c\ubd81\ub3c4'], dtype=object)"
]
}
],
"prompt_number": 46
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc790.. \uc774\uc81c \uc2dc\uad70\uad6c \uccb4\ud06c. \uc81c\ubc1c.. >_<"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ltr_tbl['d2'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 47,
"text": [
"array(['\uad00\uc545\uad6c', '\ud574\uc6b4\ub300\uad6c', '\uc11c\uad6c', '\uae40\ud3ec\uc2dc', '\uae30\uc7a5\uad70', '\uc6d0\uc8fc\uc2dc', '\uccad\uc8fc\uc2dc', '\uac00\ud3c9\uad70', '\ub098\uc8fc\uc2dc\uae08\ucc9c\uba74',\n",
" '\uc548\uc0b0\uc2dc', '\uc548\ub3d9\uc2dc', '\uc5ec\uc218\uc2dc', '\uc7a5\uc131\uad70\uc7a5\uc131\uc74d', '\uc218\uc131\uad6c', '\uc0ac\uc0c1\uad6c', '\uac15\ub0a8\uad6c', '\ubd09\ud654\uad70', '\uad11\uba85\uc2dc',\n",
" '\uc5f0\uae30\uba74', '\ud558\ub3d9\uad70', '\uc218\uc6d0\uc2dc', '\uc774\ucc9c\uc2dc', '\uae08\ub0a8\uba74', '\uac70\uc81c\uc2dc', '\ucc9c\uc548\uc2dc', '\uad11\uc8fc\uc2dc', '\ub3d9\uad6c', '\uc911\uad6c',\n",
" '\uc131\ubd81\uad6c', '\uace0\uc591\uc2dc', '\uc591\ud3c9\uad70', '\uc81c\uc8fc\uc2dc', '\uc1a1\ud30c\uad6c', '\uae40\ucc9c\uc2dc', '\uace0\ub839\uad70', '\uc804\uc8fc\uc2dc', '\ub0a8\ub3d9\uad6c',\n",
" '\uc218\uc601\uad6c', '\ucc3d\uc6d0\uc2dc', '\uc591\uc0b0\uc2dc', '\ub0a8\uc591\uc8fc\uc2dc', '\uac15\ub989\uc2dc', '\uc5f0\uc81c\uad6c', '\uad6c\ubbf8\uc2dc', '\uace0\ud765\uad70\uace0\ud765\uc74d', '\uc9c4\uc8fc\uc2dc',\n",
" '\uc6a9\uc778\uc2dc', '\ub9c8\ud3ec\uad6c', '\uc21c\ucc3d\uad70', '\uc601\ub4f1\ud3ec\uad6c', '\ubd80\ucc9c\uc2dc', '\ubd81\uad6c', '\uc131\ub0a8\uc2dc', '\ub0a8\uad6c', '\uae40\ud574\uc2dc', '\ub2ec\uc11c\uad6c',\n",
" '\ub17c\uc0b0\uc2dc\uc5f0\ubb34\uc74d', '\uc0ac\ud558\uad6c', '\ud3c9\ud0dd\uc2dc', '\uc601\uc8fc\uc2dc', '\uc784\uc2e4\uad70\uc784\uc2e4\uc74d', '\uae30\uc7a5\uad70\uc815\uad00\uba74', '\uc720\uc131\uad6c', '\uc2dc\ud765\uc2dc',\n",
" '\uc775\uc0b0\uc2dc', '\ucc3d\ub155\uad70\ub0a8\uc9c0\uc74d', '\uc11c\uadc0\ud3ec\uc2dc', '\uad11\uc9c4\uad6c', '\uc6a9\uc0b0\uad6c', '\ub2f9\uc9c4\uc2dc', '\uac15\ub3d9\uad6c', '\uc601\ucc9c\uc2dc', '\uc644\uc8fc\uad70',\n",
" '\uc21c\ucc9c\uc2dc', '\ud654\uc131\uc2dc', '\ub2f4\uc591\uad70', '\ubd80\uc0b0\uc9c4\uad6c', '\ud568\uc548\uad70', '\uac15\ubd81\uad6c', '\uc5f0\uc218\uad6c', '\uc74c\uc131\uad70', '\uc11c\uc0b0\uc2dc',\n",
" '\ubd80\uc548\uad70', '\uad6c\ub85c\uad6c', '\uc758\uc815\ubd80\uc2dc', '\uc131\uc8fc\uad70', '\uc740\ud3c9\uad6c', '\ud3c9\ucc3d\uad70', '\uc911\ub791\uad6c', '\uc544\uc0b0\uc2dc', '\ud654\ucc9c\uad70',\n",
" '\ud558\ub0a8\uc2dc', '\ubb38\uacbd\uc2dc', '\uc548\uc591\uc2dc', '\uac15\uc9c4\uad70', '\uacbd\uc0b0\uc2dc', '\ubd80\uc5ec\uad70', '\uc591\uc8fc\uc2dc', '\uc131\ub3d9\uad6c', '\uc7a5\ud765\uad70',\n",
" '\uad70\uc0b0\uc2dc', '\ub2ec\uc131\uad70', '\uacbd\uc8fc\uc2dc', '\uc624\uc0b0\uc2dc', '\ub300\ub355\uad6c', '\ud3ec\ud56d\uc2dc', '\ub3c4\ubd09\uad6c', '\ud3ec\ucc9c\uc2dc', '\uacc4\uc591\uad6c',\n",
" '\uc5ec\uc8fc\uc2dc', '\ub3d9\ub450\ucc9c\uc2dc', '\ubd80\ud3c9\uad6c', '\ub3d9\uc791\uad6c', '\ubaa9\ud3ec\uc2dc', '\ucd98\ucc9c\uc2dc', '\uc591\ucc9c\uad6c', '\uc885\ub85c\uad6c', '\uc9c4\uad6c',\n",
" '\ub2e8\uc591\uad70', '\uc18d\ucd08\uc2dc', '\ub0a8\uc6d0\uc2dc', '\uae08\ucc9c\uad6c', '\uc815\uc120\uad70', '\ub3d9\ud574\uc2dc', '\ubb34\uc548\uad70', '\ub178\uc6d0\uad6c', '\uacfc\ucc9c\uc2dc',\n",
" '\uad11\uc0b0\uad6c', '\ucca0\uc6d0\uad70', '\ubb34\uc8fc\uad70', '\uad34\uc0b0\uad70', '\uac15\uc11c\uad6c', '\ud30c\uc8fc\uc2dc', '\ucda9\uc8fc\uc2dc', '\uc601\uad11\uad70', '\uc11c\ucd08\uad6c',\n",
" '\uccad\uc591\uad70', '\ub3d9\ub798\uad6c', '\uad11\uc591\uc2dc', '\uc9c4\ucc9c\uad70', '\uc544\uc0b0\uc2e0', '\uad6c\ub9ac\uc2dc', '\uc548\uc131\uc2dc', '\uccad\uc6d0\uad70', '\uc778\uc81c\uad70',\n",
" '\uc644\ub3c4\uad70', '\uae08\uc815\uad6c', '\uc81c\ucc9c\uc2dc', '\uacf5\uc8fc\uc2dc', '\ubc00\uc591\uc2dc', '\ud568\uc591\uad70', '\uc601\uc554\uad70', '\ub3d9\ub300\ubb38\uad6c', '\uc6b8\uc8fc\uad70',\n",
" '\uc11c\ub300\ubb38\uad6c', '\uad70\ud3ec\uc2dc', '\ud1b5\uc601\uc2dc', '\uc758\uc655\uc2dc', '\uc744\uc8fc\uad70', '\uad6c\ub85c', '\ud654\uc21c\uad70', '\uc815\uc74d\uc2dc', '\uc6d0\uc8fc\uc2dc\uc9c0\uc815\uba74',\n",
" '\ud0dc\ubc31\uc2dc', '\uc870\uce58\uc6d0\uc74d', '\uc601\ub355\uad70', '\uce60\uace1\uad70', '\uacc4\ub8e1\uc2dc', '\ubcf4\ub839\uc2dc', '\ub17c\uc0b0\uc2dc', '\uace0\ucc3d\uad70', '\uc11c\ucc9c\uad70',\n",
" '\uc601\uc6d4\uad70', '\uccad\ub3c4\uad70', '\ud6a1\uc131\uad70', '\uc608\ucc9c\uad70', '\uc625\ucc9c\uad70', '\uc591\uad6c\uad70', '\ud569\ucc9c\uad70', '\uc885\ub85c2\uac00', '\ucc3d\ub155\uad70',\n",
" '\uc0ac\ucc9c\uc2dc', '\uac15\ud654\uad70', '\uc6b8\uc9c4\uad70', '\uc0bc\ucc99\uc2dc', '\ud574\ub0a8\uad70', '\uace0\uc131\uad70', '\ud0dc\uc548\uad70', '\uc5f0\ucc9c\uad70', '\ub098\uc8fc\uc2dc',\n",
" '\ub0a8\ud574\uad70', '\uae08\uc0b0\uad70', '\ud64d\ucc9c\uad70', '\uc601\ub3d9\uad70', '\uc99d\ud3c9\uad70', '\uc601\ub3c4\uad6c', '\uae40\uc81c\uc2dc', '\ud64d\uc131\uad70', '\uac70\ucc3d\uad70',\n",
" '\uc608\uc0b0\uad70', '\ubcf4\uc740\uad70', '\uc0c1\uc8fc\uc2dc'], dtype=object)"
]
}
],
"prompt_number": 47
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub744\uc5b4\uc4f0\uae30 \ube60\uc9c4 \uac83\uc774 \uc81c\ubc95 \uc788\ub2e4. \ub530\ub85c \ub530\ub85c \ubd84\ub9ac\ud574\uc8fc\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d2_aliases = \"\"\"\ub098\uc8fc\uc2dc\uae08\ucc9c\uba74:\ub098\uc8fc\uc2dc \uc7a5\uc131\uad70\uc7a5\uc131\uc74d:\uc7a5\uc131\uad70 \uace0\ud765\uad70\uace0\ud765\uc74d:\uace0\ud765\uad70 \uae30\uc7a5\uad70\uc815\uad00\uba74:\uae30\uc7a5\uad70\n",
"\ucc3d\ub155\uad70\ub0a8\uc9c0\uc74d:\ucc3d\ub155\uad70 \uc784\uc2e4\uad70\uc784\uc2e4\uc74d:\uc784\uc2e4\uad70 \uc6d0\uc8fc\uc2dc\uc9c0\uc815\uba74:\uc6d0\uc8fc\uc2dc \uc9c4\uad6c:\ubd80\uc0b0\uc9c4\uad6c \ub17c\uc0b0\uc2dc\uc5f0\ubb34\uc74d:\ub17c\uc0b0\uc2dc\"\"\"\n",
"d2_aliases = dict(aliasset.split(':') for aliasset in d2_aliases.split())\n",
"ltr_tbl['d2'] = ltr_tbl['d2'].apply(lambda v: d2_aliases.get(v, v))\n",
"ltr_tbl['d2'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 48,
"text": [
"array(['\uad00\uc545\uad6c', '\ud574\uc6b4\ub300\uad6c', '\uc11c\uad6c', '\uae40\ud3ec\uc2dc', '\uae30\uc7a5\uad70', '\uc6d0\uc8fc\uc2dc', '\uccad\uc8fc\uc2dc', '\uac00\ud3c9\uad70', '\ub098\uc8fc\uc2dc',\n",
" '\uc548\uc0b0\uc2dc', '\uc548\ub3d9\uc2dc', '\uc5ec\uc218\uc2dc', '\uc7a5\uc131\uad70', '\uc218\uc131\uad6c', '\uc0ac\uc0c1\uad6c', '\uac15\ub0a8\uad6c', '\ubd09\ud654\uad70', '\uad11\uba85\uc2dc',\n",
" '\uc5f0\uae30\uba74', '\ud558\ub3d9\uad70', '\uc218\uc6d0\uc2dc', '\uc774\ucc9c\uc2dc', '\uae08\ub0a8\uba74', '\uac70\uc81c\uc2dc', '\ucc9c\uc548\uc2dc', '\uad11\uc8fc\uc2dc', '\ub3d9\uad6c', '\uc911\uad6c',\n",
" '\uc131\ubd81\uad6c', '\uace0\uc591\uc2dc', '\uc591\ud3c9\uad70', '\uc81c\uc8fc\uc2dc', '\uc1a1\ud30c\uad6c', '\uae40\ucc9c\uc2dc', '\uace0\ub839\uad70', '\uc804\uc8fc\uc2dc', '\ub0a8\ub3d9\uad6c',\n",
" '\uc218\uc601\uad6c', '\ucc3d\uc6d0\uc2dc', '\uc591\uc0b0\uc2dc', '\ub0a8\uc591\uc8fc\uc2dc', '\uac15\ub989\uc2dc', '\uc5f0\uc81c\uad6c', '\uad6c\ubbf8\uc2dc', '\uace0\ud765\uad70', '\uc9c4\uc8fc\uc2dc',\n",
" '\uc6a9\uc778\uc2dc', '\ub9c8\ud3ec\uad6c', '\uc21c\ucc3d\uad70', '\uc601\ub4f1\ud3ec\uad6c', '\ubd80\ucc9c\uc2dc', '\ubd81\uad6c', '\uc131\ub0a8\uc2dc', '\ub0a8\uad6c', '\uae40\ud574\uc2dc', '\ub2ec\uc11c\uad6c',\n",
" '\ub17c\uc0b0\uc2dc', '\uc0ac\ud558\uad6c', '\ud3c9\ud0dd\uc2dc', '\uc601\uc8fc\uc2dc', '\uc784\uc2e4\uad70', '\uc720\uc131\uad6c', '\uc2dc\ud765\uc2dc', '\uc775\uc0b0\uc2dc', '\ucc3d\ub155\uad70',\n",
" '\uc11c\uadc0\ud3ec\uc2dc', '\uad11\uc9c4\uad6c', '\uc6a9\uc0b0\uad6c', '\ub2f9\uc9c4\uc2dc', '\uac15\ub3d9\uad6c', '\uc601\ucc9c\uc2dc', '\uc644\uc8fc\uad70', '\uc21c\ucc9c\uc2dc', '\ud654\uc131\uc2dc',\n",
" '\ub2f4\uc591\uad70', '\ubd80\uc0b0\uc9c4\uad6c', '\ud568\uc548\uad70', '\uac15\ubd81\uad6c', '\uc5f0\uc218\uad6c', '\uc74c\uc131\uad70', '\uc11c\uc0b0\uc2dc', '\ubd80\uc548\uad70', '\uad6c\ub85c\uad6c',\n",
" '\uc758\uc815\ubd80\uc2dc', '\uc131\uc8fc\uad70', '\uc740\ud3c9\uad6c', '\ud3c9\ucc3d\uad70', '\uc911\ub791\uad6c', '\uc544\uc0b0\uc2dc', '\ud654\ucc9c\uad70', '\ud558\ub0a8\uc2dc', '\ubb38\uacbd\uc2dc',\n",
" '\uc548\uc591\uc2dc', '\uac15\uc9c4\uad70', '\uacbd\uc0b0\uc2dc', '\ubd80\uc5ec\uad70', '\uc591\uc8fc\uc2dc', '\uc131\ub3d9\uad6c', '\uc7a5\ud765\uad70', '\uad70\uc0b0\uc2dc', '\ub2ec\uc131\uad70',\n",
" '\uacbd\uc8fc\uc2dc', '\uc624\uc0b0\uc2dc', '\ub300\ub355\uad6c', '\ud3ec\ud56d\uc2dc', '\ub3c4\ubd09\uad6c', '\ud3ec\ucc9c\uc2dc', '\uacc4\uc591\uad6c', '\uc5ec\uc8fc\uc2dc', '\ub3d9\ub450\ucc9c\uc2dc',\n",
" '\ubd80\ud3c9\uad6c', '\ub3d9\uc791\uad6c', '\ubaa9\ud3ec\uc2dc', '\ucd98\ucc9c\uc2dc', '\uc591\ucc9c\uad6c', '\uc885\ub85c\uad6c', '\ub2e8\uc591\uad70', '\uc18d\ucd08\uc2dc', '\ub0a8\uc6d0\uc2dc',\n",
" '\uae08\ucc9c\uad6c', '\uc815\uc120\uad70', '\ub3d9\ud574\uc2dc', '\ubb34\uc548\uad70', '\ub178\uc6d0\uad6c', '\uacfc\ucc9c\uc2dc', '\uad11\uc0b0\uad6c', '\ucca0\uc6d0\uad70', '\ubb34\uc8fc\uad70',\n",
" '\uad34\uc0b0\uad70', '\uac15\uc11c\uad6c', '\ud30c\uc8fc\uc2dc', '\ucda9\uc8fc\uc2dc', '\uc601\uad11\uad70', '\uc11c\ucd08\uad6c', '\uccad\uc591\uad70', '\ub3d9\ub798\uad6c', '\uad11\uc591\uc2dc',\n",
" '\uc9c4\ucc9c\uad70', '\uc544\uc0b0\uc2e0', '\uad6c\ub9ac\uc2dc', '\uc548\uc131\uc2dc', '\uccad\uc6d0\uad70', '\uc778\uc81c\uad70', '\uc644\ub3c4\uad70', '\uae08\uc815\uad6c', '\uc81c\ucc9c\uc2dc',\n",
" '\uacf5\uc8fc\uc2dc', '\ubc00\uc591\uc2dc', '\ud568\uc591\uad70', '\uc601\uc554\uad70', '\ub3d9\ub300\ubb38\uad6c', '\uc6b8\uc8fc\uad70', '\uc11c\ub300\ubb38\uad6c', '\uad70\ud3ec\uc2dc', '\ud1b5\uc601\uc2dc',\n",
" '\uc758\uc655\uc2dc', '\uc744\uc8fc\uad70', '\uad6c\ub85c', '\ud654\uc21c\uad70', '\uc815\uc74d\uc2dc', '\ud0dc\ubc31\uc2dc', '\uc870\uce58\uc6d0\uc74d', '\uc601\ub355\uad70', '\uce60\uace1\uad70',\n",
" '\uacc4\ub8e1\uc2dc', '\ubcf4\ub839\uc2dc', '\uace0\ucc3d\uad70', '\uc11c\ucc9c\uad70', '\uc601\uc6d4\uad70', '\uccad\ub3c4\uad70', '\ud6a1\uc131\uad70', '\uc608\ucc9c\uad70', '\uc625\ucc9c\uad70',\n",
" '\uc591\uad6c\uad70', '\ud569\ucc9c\uad70', '\uc885\ub85c2\uac00', '\uc0ac\ucc9c\uc2dc', '\uac15\ud654\uad70', '\uc6b8\uc9c4\uad70', '\uc0bc\ucc99\uc2dc', '\ud574\ub0a8\uad70', '\uace0\uc131\uad70',\n",
" '\ud0dc\uc548\uad70', '\uc5f0\ucc9c\uad70', '\ub0a8\ud574\uad70', '\uae08\uc0b0\uad70', '\ud64d\ucc9c\uad70', '\uc601\ub3d9\uad70', '\uc99d\ud3c9\uad70', '\uc601\ub3c4\uad6c', '\uae40\uc81c\uc2dc',\n",
" '\ud64d\uc131\uad70', '\uac70\ucc3d\uad70', '\uc608\uc0b0\uad70', '\ubcf4\uc740\uad70', '\uc0c1\uc8fc\uc2dc'], dtype=object)"
]
}
],
"prompt_number": 48
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc544.. \uc5ed\uc2dc \ub9e4\uc7a5\uc774 \ub9ce\uc544\uc11c \uc624\ub958\ub3c4 \ub9ce\ub2e4. \ub2e4\uc2dc \ud655\uc778."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ltr_tbl[ltr_tbl['d2'].apply(lambda v: v[-1] not in '\uc2dc\uad70\uad6c')]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>storename</th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>19 </th>\n",
" <td> \uc138\uc885\uccab\ub9c8\uc744</td>\n",
" <td> \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc</td>\n",
" <td> \uc5f0\uae30\uba74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23 </th>\n",
" <td> \ud648\ud50c\ub7ec\uc2a4\uc138\uc885</td>\n",
" <td> \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc</td>\n",
" <td> \uae08\ub0a8\uba74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>409</th>\n",
" <td> \uc544\uc0b0\ud0d5\uc815</td>\n",
" <td> \ucda9\uccad\ub0a8\ub3c4</td>\n",
" <td> \uc544\uc0b0\uc2e0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>547</th>\n",
" <td> \uc624\ub958\ub3d9\uc5ed</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uad6c\ub85c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>662</th>\n",
" <td> \ud648\ud50c\ub7ec\uc2a4\uc870\uce58\uc6d0</td>\n",
" <td> \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc</td>\n",
" <td> \uc870\uce58\uc6d0\uc74d</td>\n",
" </tr>\n",
" <tr>\n",
" <th>739</th>\n",
" <td> \uc870\uce58\uc6d0</td>\n",
" <td> \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc</td>\n",
" <td> \uc870\uce58\uc6d0\uc74d</td>\n",
" </tr>\n",
" <tr>\n",
" <th>879</th>\n",
" <td> \uc885\uac01\uc5ed</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc885\ub85c2\uac00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>945</th>\n",
" <td> \uac1c\ubd09\uc5ed</td>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uad6c\ub85c</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 49,
"text": [
" storename d1 d2\n",
"19 \uc138\uc885\uccab\ub9c8\uc744 \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc \uc5f0\uae30\uba74\n",
"23 \ud648\ud50c\ub7ec\uc2a4\uc138\uc885 \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc \uae08\ub0a8\uba74\n",
"409 \uc544\uc0b0\ud0d5\uc815 \ucda9\uccad\ub0a8\ub3c4 \uc544\uc0b0\uc2e0\n",
"547 \uc624\ub958\ub3d9\uc5ed \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uad6c\ub85c\n",
"662 \ud648\ud50c\ub7ec\uc2a4\uc870\uce58\uc6d0 \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc \uc870\uce58\uc6d0\uc74d\n",
"739 \uc870\uce58\uc6d0 \uc138\uc885\ud2b9\ubcc4\uc790\uce58\uc2dc \uc870\uce58\uc6d0\uc74d\n",
"879 \uc885\uac01\uc5ed \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c2\uac00\n",
"945 \uac1c\ubd09\uc5ed \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uad6c\ub85c"
]
}
],
"prompt_number": 49
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc624\ub958\ub294 \uace0\uce58\uace0, \uc138\uc885\ub294 \uc2dc\uad70\uad6c \ub2e8\uc704\uac00 \uc5c6\uc73c\ubbc0\ub85c \uc138\uc885\uc2dc\ub85c \uc9c0\uc815."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d2_aliases = \"\"\"\uc5f0\uae30\uba74:\uc138\uc885\uc2dc \uae08\ub0a8\uba74:\uc138\uc885\uc2dc \uc870\uce58\uc6d0\uc74d:\uc138\uc885\uc2dc \uc544\uc0b0\uc2e0:\uc544\uc0b0\uc2dc \uad6c\ub85c:\uad6c\ub85c\uad6c\n",
"\uc885\ub85c2\uac00:\uc885\ub85c\uad6c\"\"\"\n",
"d2_aliases = dict(aliasset.split(':') for aliasset in d2_aliases.split())\n",
"ltr_tbl['d2'] = ltr_tbl['d2'].apply(lambda v: d2_aliases.get(v, v))\n",
"ltr_tbl['d2'].unique()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 50,
"text": [
"array(['\uad00\uc545\uad6c', '\ud574\uc6b4\ub300\uad6c', '\uc11c\uad6c', '\uae40\ud3ec\uc2dc', '\uae30\uc7a5\uad70', '\uc6d0\uc8fc\uc2dc', '\uccad\uc8fc\uc2dc', '\uac00\ud3c9\uad70', '\ub098\uc8fc\uc2dc',\n",
" '\uc548\uc0b0\uc2dc', '\uc548\ub3d9\uc2dc', '\uc5ec\uc218\uc2dc', '\uc7a5\uc131\uad70', '\uc218\uc131\uad6c', '\uc0ac\uc0c1\uad6c', '\uac15\ub0a8\uad6c', '\ubd09\ud654\uad70', '\uad11\uba85\uc2dc',\n",
" '\uc138\uc885\uc2dc', '\ud558\ub3d9\uad70', '\uc218\uc6d0\uc2dc', '\uc774\ucc9c\uc2dc', '\uac70\uc81c\uc2dc', '\ucc9c\uc548\uc2dc', '\uad11\uc8fc\uc2dc', '\ub3d9\uad6c', '\uc911\uad6c', '\uc131\ubd81\uad6c',\n",
" '\uace0\uc591\uc2dc', '\uc591\ud3c9\uad70', '\uc81c\uc8fc\uc2dc', '\uc1a1\ud30c\uad6c', '\uae40\ucc9c\uc2dc', '\uace0\ub839\uad70', '\uc804\uc8fc\uc2dc', '\ub0a8\ub3d9\uad6c', '\uc218\uc601\uad6c',\n",
" '\ucc3d\uc6d0\uc2dc', '\uc591\uc0b0\uc2dc', '\ub0a8\uc591\uc8fc\uc2dc', '\uac15\ub989\uc2dc', '\uc5f0\uc81c\uad6c', '\uad6c\ubbf8\uc2dc', '\uace0\ud765\uad70', '\uc9c4\uc8fc\uc2dc', '\uc6a9\uc778\uc2dc',\n",
" '\ub9c8\ud3ec\uad6c', '\uc21c\ucc3d\uad70', '\uc601\ub4f1\ud3ec\uad6c', '\ubd80\ucc9c\uc2dc', '\ubd81\uad6c', '\uc131\ub0a8\uc2dc', '\ub0a8\uad6c', '\uae40\ud574\uc2dc', '\ub2ec\uc11c\uad6c', '\ub17c\uc0b0\uc2dc',\n",
" '\uc0ac\ud558\uad6c', '\ud3c9\ud0dd\uc2dc', '\uc601\uc8fc\uc2dc', '\uc784\uc2e4\uad70', '\uc720\uc131\uad6c', '\uc2dc\ud765\uc2dc', '\uc775\uc0b0\uc2dc', '\ucc3d\ub155\uad70', '\uc11c\uadc0\ud3ec\uc2dc',\n",
" '\uad11\uc9c4\uad6c', '\uc6a9\uc0b0\uad6c', '\ub2f9\uc9c4\uc2dc', '\uac15\ub3d9\uad6c', '\uc601\ucc9c\uc2dc', '\uc644\uc8fc\uad70', '\uc21c\ucc9c\uc2dc', '\ud654\uc131\uc2dc', '\ub2f4\uc591\uad70',\n",
" '\ubd80\uc0b0\uc9c4\uad6c', '\ud568\uc548\uad70', '\uac15\ubd81\uad6c', '\uc5f0\uc218\uad6c', '\uc74c\uc131\uad70', '\uc11c\uc0b0\uc2dc', '\ubd80\uc548\uad70', '\uad6c\ub85c\uad6c', '\uc758\uc815\ubd80\uc2dc',\n",
" '\uc131\uc8fc\uad70', '\uc740\ud3c9\uad6c', '\ud3c9\ucc3d\uad70', '\uc911\ub791\uad6c', '\uc544\uc0b0\uc2dc', '\ud654\ucc9c\uad70', '\ud558\ub0a8\uc2dc', '\ubb38\uacbd\uc2dc', '\uc548\uc591\uc2dc',\n",
" '\uac15\uc9c4\uad70', '\uacbd\uc0b0\uc2dc', '\ubd80\uc5ec\uad70', '\uc591\uc8fc\uc2dc', '\uc131\ub3d9\uad6c', '\uc7a5\ud765\uad70', '\uad70\uc0b0\uc2dc', '\ub2ec\uc131\uad70', '\uacbd\uc8fc\uc2dc',\n",
" '\uc624\uc0b0\uc2dc', '\ub300\ub355\uad6c', '\ud3ec\ud56d\uc2dc', '\ub3c4\ubd09\uad6c', '\ud3ec\ucc9c\uc2dc', '\uacc4\uc591\uad6c', '\uc5ec\uc8fc\uc2dc', '\ub3d9\ub450\ucc9c\uc2dc', '\ubd80\ud3c9\uad6c',\n",
" '\ub3d9\uc791\uad6c', '\ubaa9\ud3ec\uc2dc', '\ucd98\ucc9c\uc2dc', '\uc591\ucc9c\uad6c', '\uc885\ub85c\uad6c', '\ub2e8\uc591\uad70', '\uc18d\ucd08\uc2dc', '\ub0a8\uc6d0\uc2dc', '\uae08\ucc9c\uad6c',\n",
" '\uc815\uc120\uad70', '\ub3d9\ud574\uc2dc', '\ubb34\uc548\uad70', '\ub178\uc6d0\uad6c', '\uacfc\ucc9c\uc2dc', '\uad11\uc0b0\uad6c', '\ucca0\uc6d0\uad70', '\ubb34\uc8fc\uad70', '\uad34\uc0b0\uad70',\n",
" '\uac15\uc11c\uad6c', '\ud30c\uc8fc\uc2dc', '\ucda9\uc8fc\uc2dc', '\uc601\uad11\uad70', '\uc11c\ucd08\uad6c', '\uccad\uc591\uad70', '\ub3d9\ub798\uad6c', '\uad11\uc591\uc2dc', '\uc9c4\ucc9c\uad70',\n",
" '\uad6c\ub9ac\uc2dc', '\uc548\uc131\uc2dc', '\uccad\uc6d0\uad70', '\uc778\uc81c\uad70', '\uc644\ub3c4\uad70', '\uae08\uc815\uad6c', '\uc81c\ucc9c\uc2dc', '\uacf5\uc8fc\uc2dc', '\ubc00\uc591\uc2dc',\n",
" '\ud568\uc591\uad70', '\uc601\uc554\uad70', '\ub3d9\ub300\ubb38\uad6c', '\uc6b8\uc8fc\uad70', '\uc11c\ub300\ubb38\uad6c', '\uad70\ud3ec\uc2dc', '\ud1b5\uc601\uc2dc', '\uc758\uc655\uc2dc', '\uc744\uc8fc\uad70',\n",
" '\ud654\uc21c\uad70', '\uc815\uc74d\uc2dc', '\ud0dc\ubc31\uc2dc', '\uc601\ub355\uad70', '\uce60\uace1\uad70', '\uacc4\ub8e1\uc2dc', '\ubcf4\ub839\uc2dc', '\uace0\ucc3d\uad70', '\uc11c\ucc9c\uad70',\n",
" '\uc601\uc6d4\uad70', '\uccad\ub3c4\uad70', '\ud6a1\uc131\uad70', '\uc608\ucc9c\uad70', '\uc625\ucc9c\uad70', '\uc591\uad6c\uad70', '\ud569\ucc9c\uad70', '\uc0ac\ucc9c\uc2dc', '\uac15\ud654\uad70',\n",
" '\uc6b8\uc9c4\uad70', '\uc0bc\ucc99\uc2dc', '\ud574\ub0a8\uad70', '\uace0\uc131\uad70', '\ud0dc\uc548\uad70', '\uc5f0\ucc9c\uad70', '\ub0a8\ud574\uad70', '\uae08\uc0b0\uad70', '\ud64d\ucc9c\uad70',\n",
" '\uc601\ub3d9\uad70', '\uc99d\ud3c9\uad70', '\uc601\ub3c4\uad6c', '\uae40\uc81c\uc2dc', '\ud64d\uc131\uad70', '\uac70\ucc3d\uad70', '\uc608\uc0b0\uad70', '\ubcf4\uc740\uad70', '\uc0c1\uc8fc\uc2dc'], dtype=object)"
]
}
],
"prompt_number": 50
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub410\ub2e4. \uc774\uc81c \ub9c8\uc9c0\ub9c9 \uc2dc\ub3c4\ubcc4 \ub9e4\uc7a5 \uc218 \uacc4\uc0b0!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"L = ltr_tbl.apply(lambda r: r['d1'] + ' ' + r['d2'], axis=1).value_counts()\n",
"L.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 51,
"text": [
"\uacbd\uc0c1\ub0a8\ub3c4 \ucc3d\uc6d0\uc2dc 29\n",
"\uacbd\uae30\ub3c4 \uc218\uc6d0\uc2dc 28\n",
"\ucda9\uccad\ubd81\ub3c4 \uccad\uc8fc\uc2dc 22\n",
"\uacbd\uae30\ub3c4 \uace0\uc591\uc2dc 22\n",
"\ucda9\uccad\ub0a8\ub3c4 \ucc9c\uc548\uc2dc 22\n",
"dtype: int64"
]
}
],
"prompt_number": 51
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc624. \ub86f\ub370\ub9ac\uc544\ub294 \uc5ed\uc2dc \uac15\ub0a8\uc774 \uc0c1\uc704\uad8c\uc5d0 \uc5c6\ub2e4. \ucc9c\uc548\uacfc \uccad\uc8fc\uac00 \uc55e\uc73c\ub85c \ud280\uc5b4\uc62c\ub790\ub2e4."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \ub9c8\uc9c0\ub9c9\uc73c\ub85c \ud589\uc815\uad6c\uc5ed \uc774\ub984\uc744 \uc704\ud0a4\ubc31\uacfc \ub9ac\uc2a4\ud2b8\uc640 \ub2e4\uc2dc \ub9de\ucdb0\ubcf4\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"distr_latlon = pd.read_table('../../../../p/tiny/2014-12/burgerindex/latlon/lonlat.csv')\n",
"distr_latlon.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> \uacbd\uae30\ub3c4</td>\n",
" <td> \uac00\ud3c9\uad70</td>\n",
" <td> 843.04</td>\n",
" <td> 58540</td>\n",
" <td> 69.439173</td>\n",
" <td> 37.831540</td>\n",
" <td> 127.509883</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ub0a8\uad6c</td>\n",
" <td> 39.50</td>\n",
" <td> 569499</td>\n",
" <td> 14417.696203</td>\n",
" <td> 37.517236</td>\n",
" <td> 127.047325</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ub3d9\uad6c</td>\n",
" <td> 24.60</td>\n",
" <td> 489655</td>\n",
" <td> 19904.674797</td>\n",
" <td> 37.530125</td>\n",
" <td> 127.123762</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uac15\ub989\uc2dc</td>\n",
" <td> 1040.07</td>\n",
" <td> 219067</td>\n",
" <td> 210.627169</td>\n",
" <td> 37.751853</td>\n",
" <td> 128.876057</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ubd81\uad6c</td>\n",
" <td> 23.60</td>\n",
" <td> 343912</td>\n",
" <td> 14572.542373</td>\n",
" <td> 37.639610</td>\n",
" <td> 127.025657</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 52,
"text": [
" d1 d2 area population density lat lon\n",
"0 \uacbd\uae30\ub3c4 \uac00\ud3c9\uad70 843.04 58540 69.439173 37.831540 127.509883\n",
"1 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 39.50 569499 14417.696203 37.517236 127.047325\n",
"2 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub3d9\uad6c 24.60 489655 19904.674797 37.530125 127.123762\n",
"3 \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc 1040.07 219067 210.627169 37.751853 128.876057\n",
"4 \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ubd81\uad6c 23.60 343912 14572.542373 37.639610 127.025657"
]
}
],
"prompt_number": 52
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"distr_latlon.index = distr_latlon.apply(lambda r: r['d1'] + ' ' + r['d2'], axis=1)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 53
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt = pd.DataFrame({'B': B, 'M': M, 'K': K, 'L': L}).fillna(0)\n",
"bgt = pd.merge(distr_latlon, bgt, how='outer', left_index=True, right_index=True)\n",
"bgt.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uac15\ub989\uc2dc</td>\n",
" <td> 1040.07</td>\n",
" <td> 219067</td>\n",
" <td> 210.627169</td>\n",
" <td> 37.751853</td>\n",
" <td> 128.876057</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 6</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uace0\uc131\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uace0\uc131\uad70</td>\n",
" <td> 664.19</td>\n",
" <td> 30802</td>\n",
" <td> 46.375284</td>\n",
" <td> 38.380129</td>\n",
" <td> 128.467439</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \ub3d9\ud574\uc2dc</td>\n",
" <td> 180.01</td>\n",
" <td> 95850</td>\n",
" <td> 532.470418</td>\n",
" <td> 37.524719</td>\n",
" <td> 129.114292</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 3</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uc0bc\ucc99\uc2dc</td>\n",
" <td> 1185.80</td>\n",
" <td> 72431</td>\n",
" <td> 61.081970</td>\n",
" <td> 37.449868</td>\n",
" <td> 129.165206</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uc18d\ucd08\uc2dc</td>\n",
" <td> 105.25</td>\n",
" <td> 84568</td>\n",
" <td> 803.496437</td>\n",
" <td> 38.207015</td>\n",
" <td> 128.591849</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 3</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 54,
"text": [
" d1 d2 area population density lat lon B \\\n",
"\uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc 1040.07 219067 210.627169 37.751853 128.876057 0 \n",
"\uac15\uc6d0\ub3c4 \uace0\uc131\uad70 \uac15\uc6d0\ub3c4 \uace0\uc131\uad70 664.19 30802 46.375284 38.380129 128.467439 NaN \n",
"\uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc \uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc 180.01 95850 532.470418 37.524719 129.114292 0 \n",
"\uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc \uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc 1185.80 72431 61.081970 37.449868 129.165206 0 \n",
"\uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc \uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc 105.25 84568 803.496437 38.207015 128.591849 0 \n",
"\n",
" K L M \n",
"\uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc 1 6 1 \n",
"\uac15\uc6d0\ub3c4 \uace0\uc131\uad70 NaN NaN NaN \n",
"\uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc 1 3 0 \n",
"\uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc 0 1 0 \n",
"\uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc 0 3 1 "
]
}
],
"prompt_number": 54
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ud589\uc815\uad6c\uc5ed \uc815\ubcf4\uac00 \uc5c6\ub294\ub370 \ubc84\uac70 \ub9e4\uc7a5\uc740 \uc788\ub294 \uc9c0\uc5ed\uc744 \ucc3e\uc544 \ubd04."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt[np.isnan(bgt['area'])]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uacbd\uae30\ub3c4 \uc5ec\uc8fc\uad70</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc6b8\uc0b0\uad11\uc5ed\uc2dc \uc744\uc8fc\uad70</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\ucda9\uccad\ubd81\ub3c4 \ucc9c\uc548\uc2dc</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 2</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\ucda9\uccad\ubd81\ub3c4 \uccad\uc6d0\uad70</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 3</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 55,
"text": [
" d1 d2 area population density lat lon B K L M\n",
"\uacbd\uae30\ub3c4 \uc5ec\uc8fc\uad70 NaN NaN NaN NaN NaN NaN NaN 1 0 0 0\n",
"\uc6b8\uc0b0\uad11\uc5ed\uc2dc \uc744\uc8fc\uad70 NaN NaN NaN NaN NaN NaN NaN 0 0 1 0\n",
"\ucda9\uccad\ubd81\ub3c4 \ucc9c\uc548\uc2dc NaN NaN NaN NaN NaN NaN NaN 0 0 2 0\n",
"\ucda9\uccad\ubd81\ub3c4 \uccad\uc6d0\uad70 NaN NaN NaN NaN NaN NaN NaN 1 0 3 0"
]
}
],
"prompt_number": 55
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ud760.. \uc774\ub984\uc774 \uc798\ubabb \uae30\ub85d\ub418\uac70\ub098 \ubc14\ub010 \uac83\uc774 \uc81c\ubc95 \uc788\ub2e4. \uace0\uccd0\uc8fc\uc790."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgidx_cols = ['B', 'K', 'L', 'M']\n",
"bgt.loc['\uacbd\uae30\ub3c4 \uc5ec\uc8fc\uc2dc', bgidx_cols] += bgt.loc['\uacbd\uae30\ub3c4 \uc5ec\uc8fc\uad70', bgidx_cols]\n",
"bgt.loc['\uc6b8\uc0b0\uad11\uc5ed\uc2dc \uc6b8\uc8fc\uad70', bgidx_cols] += bgt.loc['\uc6b8\uc0b0\uad11\uc5ed\uc2dc \uc744\uc8fc\uad70', bgidx_cols]\n",
"bgt.loc['\ucda9\uccad\ub0a8\ub3c4 \ucc9c\uc548\uc2dc', bgidx_cols] += bgt.loc['\ucda9\uccad\ubd81\ub3c4 \ucc9c\uc548\uc2dc', bgidx_cols]\n",
"bgt.loc['\ucda9\uccad\ubd81\ub3c4 \uccad\uc8fc\uc2dc', bgidx_cols] += bgt.loc['\ucda9\uccad\ubd81\ub3c4 \uccad\uc6d0\uad70', bgidx_cols] # 2014\ub144 7\uc6d4 1\uc77c \ud1b5\ud569.\n",
"bgt = bgt[~np.isnan(bgt['area'])].fillna(0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 56
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uac15\ub989\uc2dc</td>\n",
" <td> 1040.07</td>\n",
" <td> 219067</td>\n",
" <td> 210.627169</td>\n",
" <td> 37.751853</td>\n",
" <td> 128.876057</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 6</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uace0\uc131\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uace0\uc131\uad70</td>\n",
" <td> 664.19</td>\n",
" <td> 30802</td>\n",
" <td> 46.375284</td>\n",
" <td> 38.380129</td>\n",
" <td> 128.467439</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \ub3d9\ud574\uc2dc</td>\n",
" <td> 180.01</td>\n",
" <td> 95850</td>\n",
" <td> 532.470418</td>\n",
" <td> 37.524719</td>\n",
" <td> 129.114292</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 3</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uc0bc\ucc99\uc2dc</td>\n",
" <td> 1185.80</td>\n",
" <td> 72431</td>\n",
" <td> 61.081970</td>\n",
" <td> 37.449868</td>\n",
" <td> 129.165206</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uc18d\ucd08\uc2dc</td>\n",
" <td> 105.25</td>\n",
" <td> 84568</td>\n",
" <td> 803.496437</td>\n",
" <td> 38.207015</td>\n",
" <td> 128.591849</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 3</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 57,
"text": [
" d1 d2 area population density lat lon B \\\n",
"\uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc \uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc 1040.07 219067 210.627169 37.751853 128.876057 0 \n",
"\uac15\uc6d0\ub3c4 \uace0\uc131\uad70 \uac15\uc6d0\ub3c4 \uace0\uc131\uad70 664.19 30802 46.375284 38.380129 128.467439 0 \n",
"\uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc \uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc 180.01 95850 532.470418 37.524719 129.114292 0 \n",
"\uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc \uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc 1185.80 72431 61.081970 37.449868 129.165206 0 \n",
"\uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc \uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc 105.25 84568 803.496437 38.207015 128.591849 0 \n",
"\n",
" K L M \n",
"\uac15\uc6d0\ub3c4 \uac15\ub989\uc2dc 1 6 1 \n",
"\uac15\uc6d0\ub3c4 \uace0\uc131\uad70 0 0 0 \n",
"\uac15\uc6d0\ub3c4 \ub3d9\ud574\uc2dc 1 3 0 \n",
"\uac15\uc6d0\ub3c4 \uc0bc\ucc99\uc2dc 0 1 0 \n",
"\uac15\uc6d0\ub3c4 \uc18d\ucd08\uc2dc 0 3 1 "
]
}
],
"prompt_number": 57
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \uc624\uc624. \ub4dc\ub514\uc5b4 \ubc84\uac70\uc9c0\uc218 \uacc4\uc0b0\uc758 \uc21c\uac04"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc774\uc81c \ubaa8\ub4e0 \ub370\uc774\ud130\uac00 \uac16\ucdb0\uc84c\uc73c\ub2c8 \ubaa8\uc544\uc11c \uacc4\uc0b0\ud574\ubcf4\uc790!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc6b0\uc120, pseudocount\uac19\uc740 \uac83\uc774 \ud544\uc694\ud560 \uc9c0 \ubcf4\uae30 \uc704\ud574 \ub86f\ub370\ub9ac\uc544\uac00 \ud558\ub098\ub3c4 \uc5c6\uace0 \ub2e4\ub978 \ubc84\uac70 \uccb4\uc778\uc774 \uc788\ub294 \uc2dc\uad70\uad6c\uac00 \uc788\ub294\uc9c0 \ud655\uc778\ud574 \ubcf8\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt[(bgt['L'] == 0) & (bgt['B'] + bgt['M'] + bgt['K'] > 0)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 58,
"text": [
"Empty DataFrame\n",
"Columns: [d1, d2, area, population, density, lat, lon, B, K, L, M]\n",
"Index: []"
]
}
],
"prompt_number": 58
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ub2e4\ud589\ud788\ub3c4 \uc5c6\ub2e4. \ub86f\ub370\ub9ac\uc544\ub3c4 \ud558\ub098\ub3c4 \uc5c6\ub294 \uacf3\uc740?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt[bgt['L'] == 0]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uace0\uc131\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uace0\uc131\uad70</td>\n",
" <td> 664.19</td>\n",
" <td> 30802</td>\n",
" <td> 46.375284</td>\n",
" <td> 38.380129</td>\n",
" <td> 128.467439</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \uc591\uc591\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \uc591\uc591\uad70</td>\n",
" <td> 628.68</td>\n",
" <td> 28196</td>\n",
" <td> 44.849526</td>\n",
" <td> 38.075392</td>\n",
" <td> 128.618850</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ub0a8\ub3c4 \uc0b0\uccad\uad70</th>\n",
" <td> \uacbd\uc0c1\ub0a8\ub3c4</td>\n",
" <td> \uc0b0\uccad\uad70</td>\n",
" <td> 794.59</td>\n",
" <td> 35239</td>\n",
" <td> 44.348658</td>\n",
" <td> 35.415588</td>\n",
" <td> 127.873498</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ub0a8\ub3c4 \uc758\ub839\uad70</th>\n",
" <td> \uacbd\uc0c1\ub0a8\ub3c4</td>\n",
" <td> \uc758\ub839\uad70</td>\n",
" <td> 482.95</td>\n",
" <td> 30965</td>\n",
" <td> 64.116368</td>\n",
" <td> 35.322190</td>\n",
" <td> 128.261658</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ubd81\ub3c4 \uad70\uc704\uad70</th>\n",
" <td> \uacbd\uc0c1\ubd81\ub3c4</td>\n",
" <td> \uad70\uc704\uad70</td>\n",
" <td> 614.15</td>\n",
" <td> 25377</td>\n",
" <td> 41.320524</td>\n",
" <td> 36.242835</td>\n",
" <td> 128.572770</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ubd81\ub3c4 \uc601\uc591\uad70</th>\n",
" <td> \uacbd\uc0c1\ubd81\ub3c4</td>\n",
" <td> \uc601\uc591\uad70</td>\n",
" <td> 815.11</td>\n",
" <td> 18666</td>\n",
" <td> 22.899977</td>\n",
" <td> 36.666656</td>\n",
" <td> 129.112401</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ubd81\ub3c4 \uc6b8\ub989\uad70</th>\n",
" <td> \uacbd\uc0c1\ubd81\ub3c4</td>\n",
" <td> \uc6b8\ub989\uad70</td>\n",
" <td> 72.82</td>\n",
" <td> 10398</td>\n",
" <td> 142.790442</td>\n",
" <td> 37.484417</td>\n",
" <td> 130.905800</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ubd81\ub3c4 \uc758\uc131\uad70</th>\n",
" <td> \uacbd\uc0c1\ubd81\ub3c4</td>\n",
" <td> \uc758\uc131\uad70</td>\n",
" <td> 1175.89</td>\n",
" <td> 59608</td>\n",
" <td> 50.691816</td>\n",
" <td> 36.352658</td>\n",
" <td> 128.697005</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uacbd\uc0c1\ubd81\ub3c4 \uccad\uc1a1\uad70</th>\n",
" <td> \uacbd\uc0c1\ubd81\ub3c4</td>\n",
" <td> \uccad\uc1a1\uad70</td>\n",
" <td> 842.45</td>\n",
" <td> 27067</td>\n",
" <td> 32.128910</td>\n",
" <td> 36.435904</td>\n",
" <td> 129.057108</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc778\ucc9c\uad11\uc5ed\uc2dc \ub3d9\uad6c</th>\n",
" <td> \uc778\ucc9c\uad11\uc5ed\uc2dc</td>\n",
" <td> \ub3d9\uad6c</td>\n",
" <td> 7.05</td>\n",
" <td> 78496</td>\n",
" <td> 11134.184397</td>\n",
" <td> 37.473818</td>\n",
" <td> 126.643338</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc778\ucc9c\uad11\uc5ed\uc2dc \uc639\uc9c4\uad70</th>\n",
" <td> \uc778\ucc9c\uad11\uc5ed\uc2dc</td>\n",
" <td> \uc639\uc9c4\uad70</td>\n",
" <td> 164.30</td>\n",
" <td> 18328</td>\n",
" <td> 111.552039</td>\n",
" <td> 37.213889</td>\n",
" <td> 126.178333</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ub0a8\ub3c4 \uace1\uc131\uad70</th>\n",
" <td> \uc804\ub77c\ub0a8\ub3c4</td>\n",
" <td> \uace1\uc131\uad70</td>\n",
" <td> 547.37</td>\n",
" <td> 32482</td>\n",
" <td> 59.341944</td>\n",
" <td> 35.281955</td>\n",
" <td> 127.291918</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ub0a8\ub3c4 \uad6c\ub840\uad70</th>\n",
" <td> \uc804\ub77c\ub0a8\ub3c4</td>\n",
" <td> \uad6c\ub840\uad70</td>\n",
" <td> 443.01</td>\n",
" <td> 27698</td>\n",
" <td> 62.522291</td>\n",
" <td> 35.202495</td>\n",
" <td> 127.462653</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ub0a8\ub3c4 \ubcf4\uc131\uad70</th>\n",
" <td> \uc804\ub77c\ub0a8\ub3c4</td>\n",
" <td> \ubcf4\uc131\uad70</td>\n",
" <td> 663.16</td>\n",
" <td> 49495</td>\n",
" <td> 74.635081</td>\n",
" <td> 34.771456</td>\n",
" <td> 127.079894</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ub0a8\ub3c4 \uc2e0\uc548\uad70</th>\n",
" <td> \uc804\ub77c\ub0a8\ub3c4</td>\n",
" <td> \uc2e0\uc548\uad70</td>\n",
" <td> 653.13</td>\n",
" <td> 45687</td>\n",
" <td> 69.950852</td>\n",
" <td> 34.827332</td>\n",
" <td> 126.101074</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ub0a8\ub3c4 \uc9c4\ub3c4\uad70</th>\n",
" <td> \uc804\ub77c\ub0a8\ub3c4</td>\n",
" <td> \uc9c4\ub3c4\uad70</td>\n",
" <td> 420.32</td>\n",
" <td> 34181</td>\n",
" <td> 81.321374</td>\n",
" <td> 34.486871</td>\n",
" <td> 126.263485</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ub0a8\ub3c4 \ud568\ud3c9\uad70</th>\n",
" <td> \uc804\ub77c\ub0a8\ub3c4</td>\n",
" <td> \ud568\ud3c9\uad70</td>\n",
" <td> 392.77</td>\n",
" <td> 37502</td>\n",
" <td> 95.480816</td>\n",
" <td> 35.065940</td>\n",
" <td> 126.516552</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ubd81\ub3c4 \uc7a5\uc218\uad70</th>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uc7a5\uc218\uad70</td>\n",
" <td> 533.64</td>\n",
" <td> 23740</td>\n",
" <td> 44.486920</td>\n",
" <td> 35.647277</td>\n",
" <td> 127.521136</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc804\ub77c\ubd81\ub3c4 \uc9c4\uc548\uad70</th>\n",
" <td> \uc804\ub77c\ubd81\ub3c4</td>\n",
" <td> \uc9c4\uc548\uad70</td>\n",
" <td> 788.94</td>\n",
" <td> 27828</td>\n",
" <td> 35.272644</td>\n",
" <td> 35.791730</td>\n",
" <td> 127.424836</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 59,
"text": [
" d1 d2 area population density lat \\\n",
"\uac15\uc6d0\ub3c4 \uace0\uc131\uad70 \uac15\uc6d0\ub3c4 \uace0\uc131\uad70 664.19 30802 46.375284 38.380129 \n",
"\uac15\uc6d0\ub3c4 \uc591\uc591\uad70 \uac15\uc6d0\ub3c4 \uc591\uc591\uad70 628.68 28196 44.849526 38.075392 \n",
"\uacbd\uc0c1\ub0a8\ub3c4 \uc0b0\uccad\uad70 \uacbd\uc0c1\ub0a8\ub3c4 \uc0b0\uccad\uad70 794.59 35239 44.348658 35.415588 \n",
"\uacbd\uc0c1\ub0a8\ub3c4 \uc758\ub839\uad70 \uacbd\uc0c1\ub0a8\ub3c4 \uc758\ub839\uad70 482.95 30965 64.116368 35.322190 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uad70\uc704\uad70 \uacbd\uc0c1\ubd81\ub3c4 \uad70\uc704\uad70 614.15 25377 41.320524 36.242835 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uc601\uc591\uad70 \uacbd\uc0c1\ubd81\ub3c4 \uc601\uc591\uad70 815.11 18666 22.899977 36.666656 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uc6b8\ub989\uad70 \uacbd\uc0c1\ubd81\ub3c4 \uc6b8\ub989\uad70 72.82 10398 142.790442 37.484417 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uc758\uc131\uad70 \uacbd\uc0c1\ubd81\ub3c4 \uc758\uc131\uad70 1175.89 59608 50.691816 36.352658 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uccad\uc1a1\uad70 \uacbd\uc0c1\ubd81\ub3c4 \uccad\uc1a1\uad70 842.45 27067 32.128910 36.435904 \n",
"\uc778\ucc9c\uad11\uc5ed\uc2dc \ub3d9\uad6c \uc778\ucc9c\uad11\uc5ed\uc2dc \ub3d9\uad6c 7.05 78496 11134.184397 37.473818 \n",
"\uc778\ucc9c\uad11\uc5ed\uc2dc \uc639\uc9c4\uad70 \uc778\ucc9c\uad11\uc5ed\uc2dc \uc639\uc9c4\uad70 164.30 18328 111.552039 37.213889 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uace1\uc131\uad70 \uc804\ub77c\ub0a8\ub3c4 \uace1\uc131\uad70 547.37 32482 59.341944 35.281955 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uad6c\ub840\uad70 \uc804\ub77c\ub0a8\ub3c4 \uad6c\ub840\uad70 443.01 27698 62.522291 35.202495 \n",
"\uc804\ub77c\ub0a8\ub3c4 \ubcf4\uc131\uad70 \uc804\ub77c\ub0a8\ub3c4 \ubcf4\uc131\uad70 663.16 49495 74.635081 34.771456 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uc2e0\uc548\uad70 \uc804\ub77c\ub0a8\ub3c4 \uc2e0\uc548\uad70 653.13 45687 69.950852 34.827332 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uc9c4\ub3c4\uad70 \uc804\ub77c\ub0a8\ub3c4 \uc9c4\ub3c4\uad70 420.32 34181 81.321374 34.486871 \n",
"\uc804\ub77c\ub0a8\ub3c4 \ud568\ud3c9\uad70 \uc804\ub77c\ub0a8\ub3c4 \ud568\ud3c9\uad70 392.77 37502 95.480816 35.065940 \n",
"\uc804\ub77c\ubd81\ub3c4 \uc7a5\uc218\uad70 \uc804\ub77c\ubd81\ub3c4 \uc7a5\uc218\uad70 533.64 23740 44.486920 35.647277 \n",
"\uc804\ub77c\ubd81\ub3c4 \uc9c4\uc548\uad70 \uc804\ub77c\ubd81\ub3c4 \uc9c4\uc548\uad70 788.94 27828 35.272644 35.791730 \n",
"\n",
" lon B K L M \n",
"\uac15\uc6d0\ub3c4 \uace0\uc131\uad70 128.467439 0 0 0 0 \n",
"\uac15\uc6d0\ub3c4 \uc591\uc591\uad70 128.618850 0 0 0 0 \n",
"\uacbd\uc0c1\ub0a8\ub3c4 \uc0b0\uccad\uad70 127.873498 0 0 0 0 \n",
"\uacbd\uc0c1\ub0a8\ub3c4 \uc758\ub839\uad70 128.261658 0 0 0 0 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uad70\uc704\uad70 128.572770 0 0 0 0 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uc601\uc591\uad70 129.112401 0 0 0 0 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uc6b8\ub989\uad70 130.905800 0 0 0 0 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uc758\uc131\uad70 128.697005 0 0 0 0 \n",
"\uacbd\uc0c1\ubd81\ub3c4 \uccad\uc1a1\uad70 129.057108 0 0 0 0 \n",
"\uc778\ucc9c\uad11\uc5ed\uc2dc \ub3d9\uad6c 126.643338 0 0 0 0 \n",
"\uc778\ucc9c\uad11\uc5ed\uc2dc \uc639\uc9c4\uad70 126.178333 0 0 0 0 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uace1\uc131\uad70 127.291918 0 0 0 0 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uad6c\ub840\uad70 127.462653 0 0 0 0 \n",
"\uc804\ub77c\ub0a8\ub3c4 \ubcf4\uc131\uad70 127.079894 0 0 0 0 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uc2e0\uc548\uad70 126.101074 0 0 0 0 \n",
"\uc804\ub77c\ub0a8\ub3c4 \uc9c4\ub3c4\uad70 126.263485 0 0 0 0 \n",
"\uc804\ub77c\ub0a8\ub3c4 \ud568\ud3c9\uad70 126.516552 0 0 0 0 \n",
"\uc804\ub77c\ubd81\ub3c4 \uc7a5\uc218\uad70 127.521136 0 0 0 0 \n",
"\uc804\ub77c\ubd81\ub3c4 \uc9c4\uc548\uad70 127.424836 0 0 0 0 "
]
}
],
"prompt_number": 59
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc758\uc678\ub85c \uc0c1\ub2f9\ud788 \ub9ce\ub2e4. \ub86f\ub370\ub9ac\uc544\ub294 \uc804\uad6d\uc5d0 \ub2e4 \uc788\ub294 \uc904 \uc54c\uc558\ub294\ub370. -O-; \uc598\ub124\ub4e4\uc740 \ub098\uc911\uc5d0 NaN\uc73c\ub85c \ucc98\ub9ac\ud574\uc11c \ub2e4\ub978 \uc0c9\uae54\ub85c \ud45c\uc2dc.\n",
"\n",
"\uadf8\ub098\uc800\ub098 \uc778\ucc9c \ub3d9\uad6c\uc5d0\ub294 \uc65c \ubc84\uac70\ud0b9, \ub86f\ub370\ub9ac\uc544, KFC, \ub9e5\ub3c4\ub0a0\ub4dc\uac00 \ud558\ub098\ub3c4 \uc5c6\uc744\uae4c? \uc778\uad6c\ubc00\ub3c4\ub3c4 1\ub9cc\uc774 \ub118\ub294\ub370.. \uc774\uc0c1\ud558\ub2e4. --> \ucc3e\uc544\ubcf4\ub2c8 \ub86f\ub370\ub9ac\uc544\ub294 \uad6c \uacbd\uacc4\uc5d0 \ub531 \ubd99\uc5b4\uc11c \ub0a8\uad6c\uc5d0 3\uac1c\uac00 \uc788\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt['BMK'] = bgt['B'] + bgt['M'] + bgt['K']\n",
"bgt['BgIdx'] = bgt['BMK'] / bgt['L']\n",
"bgt = bgt.sort('BgIdx', ascending=False)\n",
"bgt.head(10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" <th>BMK</th>\n",
" <th>BgIdx</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ub0a8\uad6c</td>\n",
" <td> 39.50</td>\n",
" <td> 569499</td>\n",
" <td> 14417.696203</td>\n",
" <td> 37.517236</td>\n",
" <td> 127.047325</td>\n",
" <td> 20</td>\n",
" <td> 10</td>\n",
" <td> 9</td>\n",
" <td> 12</td>\n",
" <td> 42</td>\n",
" <td> 4.666667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ucd08\uad6c</td>\n",
" <td> 47.04</td>\n",
" <td> 431131</td>\n",
" <td> 9165.199830</td>\n",
" <td> 37.483712</td>\n",
" <td> 127.032411</td>\n",
" <td> 10</td>\n",
" <td> 7</td>\n",
" <td> 6</td>\n",
" <td> 7</td>\n",
" <td> 24</td>\n",
" <td> 4.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc885\ub85c\uad6c</td>\n",
" <td> 23.90</td>\n",
" <td> 177543</td>\n",
" <td> 7428.577406</td>\n",
" <td> 37.572950</td>\n",
" <td> 126.979358</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 6</td>\n",
" <td> 6</td>\n",
" <td> 13</td>\n",
" <td> 2.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \ud64d\ucc9c\uad70</td>\n",
" <td> 1817.94</td>\n",
" <td> 70264</td>\n",
" <td> 38.650340</td>\n",
" <td> 37.696952</td>\n",
" <td> 127.888683</td>\n",
" <td> 2</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 2</td>\n",
" <td> 2.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ub300\ubb38\uad6c</td>\n",
" <td> 17.60</td>\n",
" <td> 336649</td>\n",
" <td> 19127.784091</td>\n",
" <td> 37.579116</td>\n",
" <td> 126.936779</td>\n",
" <td> 3</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 4</td>\n",
" <td> 9</td>\n",
" <td> 1.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc911\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc911\uad6c</td>\n",
" <td> 9.96</td>\n",
" <td> 137861</td>\n",
" <td> 13841.465863</td>\n",
" <td> 37.564091</td>\n",
" <td> 126.997940</td>\n",
" <td> 6</td>\n",
" <td> 3</td>\n",
" <td> 8</td>\n",
" <td> 3</td>\n",
" <td> 12</td>\n",
" <td> 1.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc778\ucc9c\uad11\uc5ed\uc2dc \uc911\uad6c</th>\n",
" <td> \uc778\ucc9c\uad11\uc5ed\uc2dc</td>\n",
" <td> \uc911\uad6c</td>\n",
" <td> 110.60</td>\n",
" <td> 93550</td>\n",
" <td> 845.840868</td>\n",
" <td> 37.473734</td>\n",
" <td> 126.621480</td>\n",
" <td> 2</td>\n",
" <td> 2</td>\n",
" <td> 6</td>\n",
" <td> 5</td>\n",
" <td> 9</td>\n",
" <td> 1.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\uc791\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \ub3d9\uc791\uad6c</td>\n",
" <td> 16.36</td>\n",
" <td> 407973</td>\n",
" <td> 24937.224939</td>\n",
" <td> 37.512402</td>\n",
" <td> 126.939252</td>\n",
" <td> 2</td>\n",
" <td> 3</td>\n",
" <td> 6</td>\n",
" <td> 4</td>\n",
" <td> 9</td>\n",
" <td> 1.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc591\ucc9c\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc591\ucc9c\uad6c</td>\n",
" <td> 17.40</td>\n",
" <td> 506684</td>\n",
" <td> 29119.770115</td>\n",
" <td> 37.516872</td>\n",
" <td> 126.866399</td>\n",
" <td> 3</td>\n",
" <td> 1</td>\n",
" <td> 7</td>\n",
" <td> 6</td>\n",
" <td> 10</td>\n",
" <td> 1.428571</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\ub300\ubb38\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \ub3d9\ub300\ubb38\uad6c</td>\n",
" <td> 14.20</td>\n",
" <td> 374277</td>\n",
" <td> 26357.535211</td>\n",
" <td> 37.574368</td>\n",
" <td> 127.040019</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 5</td>\n",
" <td> 5</td>\n",
" <td> 7</td>\n",
" <td> 1.400000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 60,
"text": [
" d1 d2 area population density lat \\\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 39.50 569499 14417.696203 37.517236 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 47.04 431131 9165.199830 37.483712 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 23.90 177543 7428.577406 37.572950 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 \uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 1817.94 70264 38.650340 37.696952 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 17.60 336649 19127.784091 37.579116 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc911\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc911\uad6c 9.96 137861 13841.465863 37.564091 \n",
"\uc778\ucc9c\uad11\uc5ed\uc2dc \uc911\uad6c \uc778\ucc9c\uad11\uc5ed\uc2dc \uc911\uad6c 110.60 93550 845.840868 37.473734 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\uc791\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\uc791\uad6c 16.36 407973 24937.224939 37.512402 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc591\ucc9c\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc591\ucc9c\uad6c 17.40 506684 29119.770115 37.516872 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\ub300\ubb38\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\ub300\ubb38\uad6c 14.20 374277 26357.535211 37.574368 \n",
"\n",
" lon B K L M BMK BgIdx \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 127.047325 20 10 9 12 42 4.666667 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 127.032411 10 7 6 7 24 4.000000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 126.979358 2 5 6 6 13 2.166667 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 127.888683 2 0 1 0 2 2.000000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 126.936779 3 2 5 4 9 1.800000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc911\uad6c 126.997940 6 3 8 3 12 1.500000 \n",
"\uc778\ucc9c\uad11\uc5ed\uc2dc \uc911\uad6c 126.621480 2 2 6 5 9 1.500000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\uc791\uad6c 126.939252 2 3 6 4 9 1.500000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc591\ucc9c\uad6c 126.866399 3 1 7 6 10 1.428571 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \ub3d9\ub300\ubb38\uad6c 127.040019 1 1 5 5 7 1.400000 "
]
}
],
"prompt_number": 60
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc624\uc624.. \uc5ed\uc2dc \uac15\ub0a8\uad6c, \uc11c\ucd08\uad6c \ubc84\uac70\uc9c0\uc218\ub294 \uc720\ub09c\ud788 \ud284\ub2e4. \uc2e0\uae30\ud558\ub2e4. +_+\n",
"\n",
"\ud64d\ucc9c\uad70\uc774 3\uc704!\n",
"\uadf8\uac83\uc740.. \uc624\uc158\uc6d4\ub4dc\uc640 \ub300\uba85\ube44\ubc1c\ub514\uc5d0 \uc788\ub294 \ubc84\uac70\ud0b9 \ub54c\ubb38\uc774\ub2e4.\n",
"\n",
"B+M+K\uc640 \ub86f\ub370\ub9ac\uc544 \ub9e4\uc7a5 \uc218 \ube44\uad50\ud574 \ubcfc\uae4c?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"rcParams['font.family'] = 'NanumGothic'\n",
"\n",
"plt.figure(figsize=(5, 5))\n",
"r = lambda: np.random.random(len(bgt))\n",
"plt.scatter(bgt['L'] + r(), bgt['BMK'] + r(), s=6, c='black', edgecolor='none', alpha=0.6)\n",
"plt.xlabel('\ub86f\ub370\ub9ac\uc544')\n",
"plt.ylabel('\ubc84\uac70\ud0b9+\ub9e5\ub3c4\ub0a0\ub4dc+KFC')\n",
"plt.xlim(0, 45)\n",
"plt.ylim(0, 45)\n",
"plt.gca().set_aspect(1)\n",
"\n",
"# \ucd94\uc138\uc120 \uadf8\ub9b0\ub2e4.\n",
"trendfun = np.poly1d(np.polyfit(bgt['L'], bgt['BMK'], 1))\n",
"trendx = np.linspace(0, 45, 2)\n",
"plt.plot(trendx, trendfun(trendx))\n",
"\n",
"# \ud280\ub294 \uc810 \uba87 \uac1c\ub294 \uc774\ub984\ub3c4 \ud45c\uc2dc\ud55c\ub2e4.\n",
"tolabel = bgt[(bgt['L'] > 17) | (bgt['BMK'] >= 14)]\n",
"for idx, row in tolabel.iterrows():\n",
" label_name = idx.split()[1][:-1]\n",
" plt.annotate(label_name, (row['L'], row['BMK']))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAVUAAAFRCAYAAADEnT44AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl4Tdf6wPHvPklOBgkhiLFFTRVzzamhuKaiRYVW0UFb\npUXNquarylVBUdzGPI+peSzSVhVtVUWj5oYYIiHjSU6SvX9/nJ99nWaQ4SQn4f08z31uzp7Wu2le\n+6y93rUUTdM0hBBC2ITB3gEIIcSTRJKqEELYkCRVIYSwIUmqQghhQ5JUhRDChiSpCiGEDUlSFUII\nG7JbUo2Pj2fMmDEsXrwYgKCgIAYPHsyUKVP0/127di1T1woODs7FSKVtaVvalrYzzy5JVdM0VqxY\nQfv27VFVFQBVVWnVqhWTJk3S/1ehQoVMXa+g/aFL29K2tP3ktu2YC3E8VmBgIE2bNsXZ2ZmQkBAA\nDAYDp06dIiQkBLPZTOPGjencubM9whNCiGzL86R69uxZVFWlXr16nD9/Xt/u6+tLixYtADCZTCxY\nsAA3Nzdat26d1yEKIUS2KXlZ+3/v3j02bNjA4MGDURSF4OBgjh07xqBBg1Ide/nyZbZv387IkSNT\n7QsODrZ6LPfz88vVuIUQT69NmzbpP/v4+ODj45Ph8XmaVHft2sXp06cxGo0AxMbGEhkZSdWqVRk+\nfLjVsRcvXuTAgQMMHjw4U9cOCwuzebyZ4eHhQUxMjLQtbUvbT2DbZcqUyfI5efr1v3Pnzlb9pOfP\nn+fo0aMMGjQIs9msJ9uEhAS2bdtGx44d8zI8IYTIMbu8qHrIYDDg4OAAwKlTp9i7dy9OTk6oqkq7\ndu2oXbu2PcMTQogss2tSrV69OtWrVwcsL6p8fX3tGY4QQuSYVFQJIYQNSVIVQggbkqQqhBA2JElV\nCCFsSJKqEELYkCRVIYSwIbsOqRKZ8/7773Pr1i39c2hoKEeOHMHDw4ORI0fy9ttv4+Pjw759+7hw\n4QJDhw5NdY2tW7dy//59BgwYkJehC/HUkaRaACxdulT/WdM02rVrh6enJwApKSn69IkpKSmkpKSk\neY2UlBSSk5NzP1ghnnKSVAuY7du307RpUxRF0bdldvqGoKAg4uPj6dGjB88++2xuhSjEU02SagFy\n+vRpFi9eTGBgoNX24cOHU6hQoTS/2ptMJqKjowGoVq0aHTp0oGTJknkSrxBPI0mq+VxycjIPHjxg\n06ZN7N69m+XLl+Pm5mZ1jL+/P7Vq1eLs2bNMmzaNffv24eDggKOjI87OzrRs2RJvb2+8vb2pUaOG\nne5EiKeDJNV8zt/fn5UrV9KrVy8CAwNxcnJKdczDr/+1a9fm5MmTaV5n48aNuRqnEMJCkmo+l5KS\nQocOHejSpQvBwcGsX7+e69evYzQaadSoEeXKlcPLy0s//uzZs0ycODHVC6s7d+6kmrNWCGF7klTz\nuUGDBnHv3j3CwsKYPXs2kyZN4vnnn8dkMnH8+HHmz5/P22+/rR8fEhJCu3btUq2msH79eqKiovI6\nfCGeOjL4P58rXLgwlSpV4uDBg3zwwQfUq1cPFxcXihYtSu/evXnhhRc4ffq01TkGQ+q/VoPBkOlR\nAkKI7JMn1QKiXbt2+Pv7U7ZsWapWrUpiYiL79+/nzJkzjB49Wj/Oy8uL2bNns3v3bqvzIyIiGDVq\nVF6HLcRTR5JqAeHr64u7uztr167l2rVrGI1GmjRpwpo1a/RCAIA2bdqk+7JKCJH7JKkWIHXq1KFO\nnTr6Z3suiCaESJv0qQohhA1JUhVCCBuSpCqEEDYkSVUIIWzIbi+q4uPjmTJlChUrVmTgwIEkJSUR\nEBDA9evXUVWV2rVr06dPH3uFJ4QQ2WKXJ1VN01ixYgXt27fX5wLduXMnnp6ezJgxg5kzZxIZGUlQ\nUJA9whNCiGyzS1INDAykadOmlCpVSt/2008/0bVrV/1z165dOX78uD3CE0KIbMvzpHr27FlUVaVe\nvXpW200mk9WUdt7e3oSHh+d1eEIIkSN52qd67949goKCGDx4MGA9Y/2jM9k/lFYNO0BwcDDBwcH6\nZz8/Pzw8PGwcbeYYjUZpW9qWtp/QtgE2bdqk/+zj44OPj0+Gx+dpUj1x4gT37t1jxowZAMTGxhIZ\nGcmXX36Ji4sL8fHx+tPq7du3raa0e1RaN2avyiJ7VjVJ29K2tJ37bfv5+WXpnDxNqp07d6Zz5876\n5/Pnz3P06FEGDRrEtm3b2LFjB71790bTNHbs2IGvr29ehieEEDlm19p/g8GAg4MDYHkxtXLlSiZN\nmoSqqtSqVYsXX3zRnuEJIUSW2TWpVq9enerVq1sCcXTk3XfftWc4QgiRY1JRJYQQNiRJVQghbEiS\nqhBC2JAkVSGEsCFJqkIIYUOSVIUQwoYkqQohhA1JUhVCCBuSpCqEEDYkSVUIIWxIkqoQQtiQJFUh\nhLAhSapCCGFDklSFEMKGJKkKIYQNSVIVQggbkqQqhBA2JElVCCFsSJKqEELYkCRVIYSwIUmqQghh\nQ5JUhRDChuyyRPW6deu4cOECiqKQmJhIy5Yt6dChA0FBQWzcuJGSJUvqx/bv358KFSrYI0whhMgy\nuyTV7t274+LiAoDZbGbSpEnUrl0bVVVp1aoVPXv2tEdYQgiRY3ZJqg8TKsDt27cxGo14enpiMBg4\ndeoUISEhmM1mGjduTOfOne0RohBCZItdkirArFmzuHbtGoqiMHbsWNzc3PD19aVFixYAmEwmFixY\ngJubG61bt7ZXmEIIkSWKpmmaPQO4evUqS5cuZcqUKRiNRqt9ly9fZvv27YwcOdJqe3BwMMHBwfpn\nPz8/YmJi8iTefzIajZjNZmlb2pa2n8C2PTw82LRpk/7Zx8cHHx+fDM+x25PqQxUrVsTLy4vQ0FCe\ne+45q32qquLq6prqnLRuzF5J1cPDQ9qWtqXtJ7htPz+/LJ2T50OqVFUlOTlZ/3zt2jVu3rxJmTJl\nrP41SkhIYNu2bTRv3jyvQxRCiGzL8yfViIgI5syZg9FoxGAw4OrqyogRI3B1deX48ePs2bMHJycn\nVFWlXbt21K5dO69DFEKIbMvzpFqiRAlmzJiR5r5mzZrRrFmzPI5ICCFsRyqqhBDChiSpCiGEDUlS\nFUIIG5KkKoQQNiRJVQghbEiSqhBC2FCGSfWHH34gPDz8sReJiIjgxIkTNgtKCCEKqgyT6ooVK1LV\n46fFycmJVatW2SwoIYQoqDJMqomJiRQpUuSxFylcuDCxsbE2C0oIIQqqDJOqk5NTpi6iaRoODg42\nCUgIIQqyDJNq2bJluXTp0mMvcvXqVUqXLm2zoIQQoqDKMKm+9NJLrF+/HlVV0z1GVVU2bNhAq1at\nbB2bEEIUOBkm1VatWuHq6soXX3zB7du3U+2/e/cus2bNQlEU2rZtm2tBCiFEQZHhLFUGg4Hhw4cT\nGBjI+PHj8fT01Fc6DQ8PJyIigvbt2/Paa69hMMiQVyGEeOzUfwaDge7du9O1a1cuX75MREQEAMWK\nFaNSpUqZGnIlhBBPiwyT6oMHD/D09LQc6OhItWrV8iQoIYQoqDL8zj58+PA0tw8dOjRXghFCiIIu\nw6Sa3kKr0dHRuRKMEEIUdPJ2SQghbEiSqhBC2FCGL6pMJhPjxo1LtT0hISHVdkdHR6ZNm2bb6IQQ\nooDJMKlOnjyZlJSUTF0os/MECCFEQaD9dQ7KlMnyeRkm1erVq2f6QplNvuvWrePChQsoikJiYiIt\nW7akQ4cOJCUlERAQwPXr11FVldq1a9OnT59Mty+EELagxcehbfwG7WIwtGqX5fMzTKqbNm2iZ8+e\nKIqS4UV+/fVXli9fzldfffXYBrt3746LiwsAZrOZSZMmUbt2bU6cOIGnpycDBw4E4KuvviIoKIgW\nLVpk9l6EECJHtJCzqCvmo/jUxzBxXraukeGLquDgYKZMmcKDBw/S3B8REcHs2bNZvHgxvXr1ylSD\nDxMqwO3btzEajXh6evLTTz/RtWtXfV/Xrl05fvx4pq4phBA5oZkTUTcGoAbMwdBnIIa+g1BcXLN1\nrQyfVCdMmMCGDRsYPXo0Q4YMoWbNmoBlZqpdu3axbds2WrZsydy5c3Fzc8t0o7NmzeLatWsoisK4\nceNwc3PDZDJZXcPb2ztTS7kIIUROaNcuoi6bi1LmGQyT5qO4F87R9TJMqo6Ojrz55pvUrl2bhQsX\n0qZNG2rUqMGyZctwc3NjypQpPPvss1ludPTo0YBlHtaFCxcyZcqUNLsY0pukJTg4mODgYP2zn58f\nHh4eWY7DFoxGo7QtbUvbBbBtLTmZxMC1JB4IxK3/Rzg1a51mHtq0aZP+s4+PDz4+Phle97ETqgDU\nrl2bmTNnsmjRIjZv3kyfPn2svqpnV8WKFfHy8iI0NBRnZ2fi4+P1p9Xbt2/j5eWV5nlp3VhMTEyO\n48kODw8PaVvalrYLWNvarRuoy/zBzR3DZ/4kFvUiMY0loTw8PPDz88vStTM9+L9w4cKMHTuWt956\ni0OHDnHhwoUsNQSWboPk5GT987Vr17h58yalS5emWbNm7NixA7CUx+7YsQNfX98styGEEOnRVBX1\n8E7UWWNQfNtgGDYZpWjaD2/ZpWjpFfgDH374IWazOdX2hIQEVFW16gM1Go18/fXXGTYWHh7OnDlz\nMBqNGAwGXF1deeONNyhXrhzJycmsXLmSv//+G1VVqVWrVqZGHjwUFhaWqeNs7Un7F1zalraf1La1\niHDUFfPAnIjhnU9QvB8/BrVMNsapZphUIyMjrZ4sM+Lo6EixYsWyHICtSFKVtqVtaTstmqahnTiK\ntnkZStuuKO27o2RyodLsJNUM+1TtmSSFECKntJgo1NUL4e4tDMOmoDxTKdfbzPKEKrt27cqNOIQQ\nwqa0Mz+jThmCUrI0hvFf5klChUy+/X/U1q1b6dy5c27EIoQQOaaZ4i1lpn+dw/D+aJSqGQ+BsrUs\nJ1UhhMivtAvnUJfPRalRF8PEuSgumS9KspVMJdWbN29aOns1DVVVuXHjhr7PYDBkqzNXCCFsRUsy\no21fjXbqewx9B6PUbmi3WDKVVL/44gtUVQUsw6lmzJih7zMYDJmaSEUIkbGOHTuye/fuNCsJFy5c\nyOHDhzEYDBiNRsaMGUOdOnUA6NSpE3v27MnrcPMN7fpl1IA5UKY8honzUTxyVmaaU5lKqo8mzbff\nfpuFCxfmWkBCPI2+/fZbQkND2bt3Ly+//LLVvhMnTnDhwgUOHjxITEwMkZGR9O3bl927dwOQmJho\nj5DtTktJQdu7Ge273Si9BqA0apHpce25SfpUhbCzY8eOMXfuXPr168fChQsxmUy89tpr+n6Hf4yp\nTEpKyvT8xU8q7fYN1GVzwdUNw2f+KMWK2zsknSRVIezk5s2bLFq0iCtXrjB06FCOHz9OkyZNCAkJ\nwc/PDz8/P3r06EHDhg05d+4cHTp0QFVVnJycmDVrlr3DtwtNVdGO7EHbtR6lax+UVh3zxdPpo7Kc\nVNNas0oIkXWbNm2iRYsWTJ8+nfj4eBwcHKhSpQrVq1fn7t27HDhwAE3TiI+Pp2fPnvTp04dbt27x\n4MEDbt26xc8//6xPx/k00CLDUVfMhwQThjGzUEqVtXdIacpyUq1atWqqbYcOHaJt27Y2CUiIp8Un\nn3yi/+zm5kaXLl30zyVLluTNN9/k8uXLjB07FicnJ5ydnfn999/p1q0bZcuWpUqVKjz//PP2CD1P\naZqGeuII2qZlKG26oHTokekyU3uwydf/HTt2SFIVIgvmz5/PwYMHrbZduHCBqlWrWn2dLV68OJs3\nbwYsyw+98cYbTJgwgU2bNvHll18ClhE5TyotJpr4/85Gu3HNMqPUM8/ZO6THyjCpbtu2je7du6fa\n/s033zBgwIBcC0qIJ92QIUMYMmSI1bZOnTqxbds2jEZjquOPHj2K0WikeHHLC5mHfa4Abdq0yf2A\n7UD7/STq6kU4Nf8XhreGoDil/nPJjzKs/T969Gia23/77bfciEWIp156k8aFhIRw7949Fi9enGqf\nt7d3boeVpzRTPOrKr1A3/BfD+yNxfXNggUmoIG//hcg3HBwc0l1CqGzZssycOZP//ve/qfYZDAbu\n3LnzRCRX7a9zlvWiatTFMGmeXcpMc0qSqhD5xM6dO9Pd16VLF9544w27zWma27QkM1rgGrSfgyxl\npnXsV2aaU5JUhRB2pf19GTXAH0qVs6xmaucy05ySpCqEsAstJQVt31a0wztR/N5Badwq3w3kzw5J\nqkKIPKfdvmlZzdTFFcNnc1CKlbB3SDYjSVUIkWc0VUU7thdtxzqULq+jtOqEks7LuYIqw6QaExPD\n3LlzrbYlJyfj5OSUq0EJIZ48WuQ91JXzwRSPYcxMlFLl7B1SrsgwqU6cOJE7d+5YbVMUhfLly+dq\nUEKIJ4emaWg/H0PbFIDSujNKx9fydZlpTmWYVCtWrEjFihUfe5Gsdi5v2LCBP//8E0VR0DSN9957\nj3LlyhEUFMTGjRspWbKkfmz//v2pUKFClq4vhMgftJho1LWLICwUw9DJKM/m/zLTnMp0n+rdu3et\nkt2jJk6cmKVGmzdvTu/evQH4/fffCQgIYNKkSaiqSqtWrejZs2eWrieEyH+0s6dQVy9Eadgc5d3h\nBaoqKicynVSnT5/OvHnz0tzn5eWVpUbLlv3flF0VK1bUl2oxGAycOnWKkJAQzGYzjRs3fiJWbp0x\nYwYvvPAC7dq107edO3eOlStX8p///Mfq2Ndee42EhAQURaFHjx689dZbeRytEDmjJcSjbVqGdv4M\nhgEjUKrVsndIeSrTSTW9muRH/fXXX2lODZiR7du3061bNwB8fX1p0aIFACaTiQULFuDm5kbr1q2z\ndM38Ijk5GVVVuX//Pm5u1uV2qqqSnJysf/b39+e7775DURS9VHHr1q189913LFmyBFdX1zyNXYjs\n0P4KtqxmWq2WZSC/a8ErM82pDJNq//79MZvNgCUJvP766wAULVqUGjVq8MMPP6BpGs2bN+ejjz7i\n66+/xt/fP9ONHz16lEKFClG3bl3AetkIV1dXunfvzvbt21Ml1eDgYIKDg/XPfn5+eHh4ZLpdWzIa\njWm2nZCQwOzZszGbzdy6dYvnn3/e6jhXV1ecnJz0bRMnTrTqRlFVlalTp3LlypV0u13SazsvSNvS\n9qM0s5mEzcsw/3CIQu9+glMD3zxrO7dt2rRJ/9nHxwcfH58Mj88wqS5fvjzVE+rDl1KjR49mzZo1\naJrG6NGjsxxoUFAQ4eHhGfafqqqa5hNaWjdmr5poDw+PNNuOjo4mMjKSpKQkTp06xZUrV/Dy8uL1\n118nNjYWk8lE7dq10zz35MmTTJ8+nQYNGjBv3rx07y29tvOCtC1tP6T9fcUykL9kaQwT5pLgUYQE\nG8Zp7/t+OMViZmWYVP85Y86pU6cIDQ2le/fuaJqGo2P2agcOHTpEVFRUqoRqNpv1uSQTEhLYtm0b\nHTt2zFYb9la4cGE++ugjvv/+ey5dusSSJUto2LAh69evB+Ds2bMsX75cP/7OnTt89913bN++HU9P\nT9zd3bly5QobN27kxRdf5Nlnn7XXrQiRJr3M9NAOFL93UZo8GWWmOZWlrFikSBGOHDmSowYvXbrE\nypUrqVy5MufOnQMsT78jR47kt99+Y+/evTg5OaGqKu3ataN27do5as+eSpcuzdq1a5k9ezYBAQHs\n3btX/0fi0W8Ae/bsYdeuXbz44ossWbIETdMoVKgQJpOJ77//nqVLl/L+++9LYhX5hnYnDHX5XHAy\nWlYz9XpyykxzKktJtWTJkkREROSowcqVK7N69eo09/n6+uLra7u+GHv78ssvadq0KVWrVmXy5Mn0\n6dMHb29v6tevb3Vcp06d6NSpk/558uTJtG3blhdffJEuXbpYrV0khD1pmoZ2dC/ajrUonXujvPTy\nE1dmmlNZSqqenp5ER0fnVixPlLNnz3LhwgWWLFkCWF5Mff311xw8eDBVUv0nTdMyNdpCiLyk3Y+w\nrGYaH4th9EyU0k9mmWlOZblT9NFhQCJ9tWvXTjVLu7e3N2+++Sbwvxd+R44cYc6cOVbHpaSk8Msv\nv1it7a4oCosXL6ZMmTK5HLkQ1jRNw/zjYdQVX1meTDv1fKLLTHMqy0k1reUeYmNjmTJlCrGxsTYJ\n6mng4OCAk5MTL730Ei+99JK9wxEiTVpsNNraxSTcCsUwZCJKhSr2DinfyzCpLl261OrJVFVV/Qlr\n8ODB+vbp06cTGRmZ5cqqp5mPj4/Vk6gQ+Y32x2nUVQtQGjTHY8hnxCaa7R1SgZBhUq1Ro4ZVUlUU\nRX9pUqlSJX17yZIl0x2gLoQoWLQEE9rmZWjBv2F4dzhK9dooRmeQpJopGSbVF198Ma/iEELkA9rF\n85Yy0yo+GCbOQ3ErZO+QChybzPx/6NAh2rZta4tLCSHsQEtKQvt2LdqJIxje/BClbhN7h1Rg2WSA\n2Y4dO2xxGSGEHWihV1GnD0e7E2Z5OpWEmiMZJtVt27aluX3ZsmW5EowQIu9oagrq3i2ocyagtHsV\nw6BxKIU97R1WgZdhUj169Gia28+cOZMbsQgh8oh2Nwx11jjLy6jP5mBo1kbq9m1EVlMV4imiaRra\nsX1o365BebmXZc0oKTO1KUmqQjwltPsRqKu+gphoDKO/QCktC3jmhmwl1aioKBYtWmTrWIQQuUQ9\nGYS24b8orTpZykyzOW2neLxs/ck6OztTq5Zl3RlN0wgJCbFpUEII29DiYtDWLkYLvSplpnkkW0nV\nxcWF5s2b65+3bNlis4CEELahnfsFdeUClAa+GN4aYqmKErlOvgMI8YTREkxoW5aj/fELhneGoTxf\nx94hPVUyTKoxMTHMnTvXaltycjLOzvIvnhD5kXbpT9Rl/iiVa1hWM5Uy0zyXYVKdOHEid+7csdpm\nMBgoV04mpxUiP9GSktB2rkP78TCGPh+i1G9q75CeWhkm1YoVK1KxYsXHXkQGDQthP9qNq6gB/lDc\nG8OkeSiFi9o7pKeaTUb9PrpevRC2tmLFCjZu3Gi1LTg4mFGjRgGwb98+5s2bl+a5W7du5Ztvvsn1\nGO3BUma6FfXLCShtX8Ew6FNJqPmATV5UyeTUIjddv36dpk2tv84mJyfrc/2mpKSQkpKS5rkpKSlP\n5BJA2t1bltVMHRwxfDYHxUvmM84vMkyqn3zyCWazZWJaRVGsFqOrWrUq7u7u/Pbbb/r2kiVLMmnS\npFwMVzxt7ty5w/79+4mNjaVdu3aMHj2av/76i9jY2EwvXx4UFER8fDw9evQo8Mt8a5qG9v1+tO1r\nUF7uidK6i5SZ5jMZJtVp06ahqioA48ePZ8aMGXoCNRqNjBkzhkmTJunrVjk5OT22wQ0bNvDnn3/q\nSfq9996jXLlyJCUlERAQwPXr11FVldq1a9OnT5+c3p8owH7//XcmTpxImTJluHv3LgcPHmTWrFl4\neHjw448/snz58nTPNZlM+sq/1apVo0OHDgV+dQr1fgTqwhkQ/QDDqM9Ryjxj75BEGjJMqklJSaSk\npKBpGqqqkpiYqO9zc3ND0zRKlCiRpQabN29O7969AcsvTUBAAJMmTWLnzp14enoycOBAAL766iuC\ngoJo0aJFVu9JPCGOHj3KzZs3efPNNxkwYAADBgwgJCSETz/91OpbU/ny5ZkyZQr79u3DwcEBR0dH\nnJ2dadmyJd7e3nh7e1OjRg073knOqad+IGbjf1Gat0d52U/KTPOxDP9mvvjiC70/ysXFhRkzZuj7\n+vfvn60Gy5Ytq/9csWJF/Zfjp59+YsqUKfq+rl27sn79ekmqT6lLly4RGhpKYGAgxYsXx8XFhbVr\n1/Ljjz+mOrZ27dqcPHkyzev88wVXQaPFxaCtW4L292XcR03H5C3DGfO7DJPqzJkzc7Xx7du38+qr\nrwKWr2tubm76Pm9vb8LDw3O1fZF/Va5cmdmzZwMQGRnJkiVLOHPmDHFxcezbt49GjRpRv359/fiz\nZ88yceLEVC+s7ty5w/Dhw20Sk6Zp7Nq1i8TERMLCwtiyZQuKovDOO+/QrVs3AMLCwpg4caI+4mDB\nggXs37/f6jomk4n79+9z/PjxDAtptHO/oq78CuWFZhg+m4tj8eIQE2OTexG5J8Okevz4ccLCwqy2\nKYpCtWrVqFmzZo4aPnr0KIUKFaJu3br6df/JkE4HfHBwMMHBwfpnPz8/PDw8chRPdhmNRmk7FyUm\nJtKvXz/ef/99Bg0ahJubGxcuXGDixIn069dPj+HatWt06dKFYcOGWZ2/atUqoqOjbRJraGgohw8f\n5vz588THx+sJce3atZQrV47WrVvj6uqKpml6e+PGjWPcuHH6Na5cucKwYcP46KOPKF68eJrtaAkm\nTGsXk/TrCQoNHodTrReAp+PvO7+1DbBp0yb9Zx8fH3x8fDI8PsOk+t///peOHTtaJbzExESWL1/O\nl19+me0gg4KCCA8Pp2fPnvo2Z2dn4uPj9afV27dvpztUK60bi7HTv+AeHh7Sdi46d+4cJUqUoGvX\nroCln79OnTqMGDGCRYsW0a5dOwASEhJISkpKFZPZbMZkMtkkVnd3dxo0aECtWrXo3r07Dg4OAPTu\n3RtXV1diYmKIjY0lOTk5VXthYWEsXryYDRs2sGjRItq2bZtmTNrlEEuZ6XPVUSbOJcHNnYT/P+5p\n+PvOj237+fll6ZwMk2p6F/z555+zFtkjDh06RFRUlFVCBWjWrBk7duygd+/eaJrGjh078PX1zXY7\n4slQtWpVwsPD2bZtG23atMHFxYXLly/z5Zdf6i88wTJWevbs2ezevdvq/IiICL1IIKccHR3p06eP\n1S/4jBkzaNCgAQ4ODnTp0gWz2Uzp0qUBy9f8AwcOsGvXLuLi4njnnXfo3LkzK1euZO3atbRs2ZJX\nX30VT09PtOQktJ0b0H44iKHPQJT6zWwSs8h7OXqFWKRIkSwdf+nSJVauXEnlypU5d+6cvn306NF0\n7dqVlStXMmnSJFRVpVatWrz44os5CU88AYxGI6tXr2bVqlUMHTqU+Ph4KleuzLBhw2jQoIF+XJs2\nbdJ9WZUWv5CeAAAgAElEQVQboqKimDBhAufOnaN169ZUqVKFnTt3cuPGDcaPHw9Y+nPDw8OZOnWq\nnmgBGjVqRFxcHMeOHSM5ORntxjVLmalXCctqpkWkKqogyzCpplWlkpycrHcHTJs2LUuNVa5cmdWr\nV6e7/913383S9cTToWjRogwdOlT/bM+vgwBLly5l165dDBs2jPnz57Nq1SpeffVVFixYoHcJAFSo\nUIEBAwakeY1ChQrRsUN7tAOBqPu3o/Toj+LbVubReAJkmFTd3d15/fXXU22vV69ergUkRH5Xt25d\n3nvvPT0B9uvXj549e2I0Grl9+zYGg4EjR44wZ84cq/PCwsLw8PCwvHRJToK7t1AUha9XrqKsj3V1\n2MiRI7lw4QIA/v7+VK5cGbDMs9GlSxcaNmwIwMKFCzlw4ABOTk56QU6dOpb5Uzt16sSePXty9c9C\npGbXIVVCFESNGjUCLC9cv/nmG5KSkkhOTiYlJYWaNWsyc+ZMSpYsyUsvvWR13rRp02jevDktDIlo\n21ejfDIQpW3XVGWm69ato0yZMpQpUwZFUThw4AClS5fGw8MDVVX1b5AnTpzgwoULfPvtt4Bl6Fnf\nvn31fuVHi3VE3slyn+r9+/cpWlT6fMTT7ebNm0ydOpWtW7davVvYvn07EyZMYMmSJanO0RITUAPX\nonkVwjDyc5SyaZeZtmnTBpPJhKIoxMbG8u6771q9lHtYMPNoVwP8rwJS2FeWk+qIESNYtmxZbsQi\nRIHh7u6OwWDgl19+oUGDBri6unLjxg3OnDnDc889l+p47fQPKD99h0O79hhGjEdxTH+eDG9vb8CS\nJAcNGkTPnj05ffo05cuXR9M0Pv30UwoXLsy6deuoV68e3bt3R1EUnJycmDVrVq7ds8icLCfVR2uu\nhXhaFSlShDVr1rB27VrWrVuHyWTC29ubDh066GNnAbS4WEuZ6bWLfPbfFSiVqmXq+tevX2fs2LFE\nR0dz/fp1wsLCqFWrFoqiMGPGDJo0aUJcXBw9e/bklVdeISYmhgcPHnDr1i1+/vnnHBfniOyTWRmE\nyKaSJUvyySefpLtfC/7NUmZat7FlqFQm1nYzmUx88cUXhISEMGXKFKpVq8aIESP48ccfmTBhguW6\nmsaVK1cYM2YMTk5OODg4EBwcTLdu3ShbtixVqlTh+eeft9l9iqzJVFIdP368PgVgQkKCVdmdwWBg\n+vTpuROdEAWQlpiAtmUF2tmTlqWha9TN9LmOjo60bdvWanKhOXPmoGkahQsX1mfhqlSpEps3bwYs\nL6jef/99JkyYwKZNm/Rqx4SEBNvemMiUTCXVN9980zI5rqYxc+ZM+vbtm25nuRBPM0uZ6VyUSlX/\nfzVT9yyd7+TkRPPmzTGZTPj7+/Pbb79hMBjQNA1nZ2f69u2rD6cCyxwaKSkp+jwCfn5+ehVkmzZt\nbHdjItMylVQf/Srh4OBQ4OemFMLWLGWmG9F+OIDhjQ9QXshZifXnn3/OM888oz+NAqiqqn/Ffzj3\nRUhICMWKFWPx4sWprvHwhZfIW9KnKkQOaTevowbMgaLFbVZmWqFCBc6dO8fVq1cpW7YsiYmJnD9/\nnpSUFKuJhsqWLcsXX3yRZqWiwWDgzp07klzzWJaTavPmzXMjDiFyxXfffcdLL72UK+WfmpqCdnAH\n2r6tKN37obz4L5u18+6773LkyBEWLlzI7du3cXZ2pn79+gQEBFglyS5dutClSxebtClsQ9GekDFS\n/5z3Na/Ye1oyaTt9ERERNGrUiP379+tlngA3btzg448/TvOc//znP/z+++/cv38/zbr9h21r4bct\nq5kChreHoZQolc27ybyC8Gf+pLVdpkyZLJ8jX//FEyk6OpoPP/yQzz//nBEjRjBt2jQ+++wzq3HW\nISEhVK9enXv37lG5cmXGjRtHpUqVmDp1KsHBwWzZsoVGjRoxYcIEnJyc2LdvH1evXuWDms+hbVuF\n0rHH/5eZysta8T8ZJtWlS5emu2a6l5cXvXr14siRI5w6dYomTZrIelLC7mJiYti5cydr1qxh7Nix\ntGjRgoYNGzJ69GiaNm3Kq6++qr947dSpE99++y3Lli1jz549aJrG2rVrSU5O5r333mPgwIHMnz+f\nBQsW8Mknn5AcE40p6ABa+DMYRk5HKVuwl7sWuSPDpFqjRo10k6qHhwdnzpxh586d9OzZk8DAQDw9\nPTO9FrsQuWHbtm0kJiayefNmChUqxNixY/niiy/YsmULhw8f5uDBg6kGxiclJWEwGFAUhaCgIKvJ\n0d977z169uzJsBaNUTcHsPHPm/yQAGNv3qGRJFWRhgyT6uMmiZ41axYDBgygRo0aFC9enO3bt0tS\nFXb1z1V+f/31V1JSUnBwcKBNmzZpjt188OABTk6WWnxnZ2fi4uLYunUru3fvZsjA93GKvIu6bRWG\n9j3o28LMRx99lCf3IgqmHPWp3rhxQx+zWqVKFW7evGmToITIjvnz53Pw4EGrbdeuXdNX7H3I1dWV\nF154Qf989+5dfcE+Pz8/xo0bx8svv0zPF2oxeeJ4Xm/pi2GiPxw8xJp//5vDhw8zduxYGjdunCf3\nJQqWDJPq+PHjiY2NpVatWrRv357y5ctb7f/nwIGHpaxC2MOQIUMYMmRIqu0RERF4eHhgNBoBy2KC\nD6fmS0xM5NKlS3h7e3P27Fm8vLz4V+vWHP12O1d3b6fPuwPoOshyTUVR6Nu3L4MHD867mxIFToZJ\n9e7du4wbN46zZ88yatQoXnvtNV577TV9/z+XkJaSVWEvf/zxB/v37+df//oXBoOB+fPnc+vWLeLj\n4wkPD8fDw4NRo0bRrVs3/vrrL7777jvKly/Pa6+9hpOTE25ubly7do1CcdFU/+tXXKtWBJ96bDlx\nmnVBvalUqRJ16tSxesIVIi0ZJlWj0UilSpV49tlnOXjwIMHBwQB6Yi1btiznz5+nRo0a/PXXX9ka\n0yWELfz+++/cvXuXkydPsmLFClavXk2lSpX49ddf2bBhA0WLFmXjxo14e3tTtWpVWrduzVdffaWf\nryUnoe3aiBa0nxXV67Jx516m93uPQUOH4ejoyB9//MHnn3/Op59+ase7FAVBpvpUHRwcMBqNjBo1\nivHjx1OzZk2qV69O+/bt9TXMjxw5Igv3Cbvp0KEDRYsW5YUXXmDDhg388ccfeHp6UrduXQIDA9m3\nbx83b95k0qRJODs7k5KS8r9KJLMZwm/h5eHO8m938bf/PCpWrEjHjh316zdq1IiPP/6YHTt26Mup\nCJGWLL2ocnNz491332X58uXMnDmTOnXq0L9/f37//Xf69u0rb/6F3RQvXpyXX34ZgPXr17N69Wq2\nbNnC/fv3cXd3p3Xr1rzxxhtUqVJFP0dTVbRDO9D2bkHpNhyleTsURWHIkCH06dOHAwcO4Ovrq89X\n+vXXX1tNeylEWjKdVB++hKpZsyYeHh6cPn2aBg0a0LBhQ6upyDLr7t27+Pv707BhQ7p37w5YFlLb\nuHEjJUuW1I/r378/FSpUyPL1xdOrZMmSjBgxIsNjtHt3UJfPA1XF8OlsqzJTLy8vli9fzsqVK1m9\nejVms5nnnnuOyZMn07RpU7sujy3yvwyT6qhRo/SfHx3/9/rrr+dopcbIyEgCAgJo0qQJZrNZ366q\nKq1ataJnz57ZvrYQGdE0De3HQ2hbV6J06I7yr1fSLDMtXbo0Y8eOtUOEoqDLMKk++oRYv359/ee0\nFjbLimLFijFu3DiOHj1KeHi4vt1gMHDq1ClCQkIwm800btyYzp0756gtIR7Sou+jrloIEeEYRvwb\npVwFe4cknkD5akIVX19fff4Ak8nEggULcHNzo3Xr1naOLP96//33uXjxIg4ODri6uhIaGkrjxo31\nxeJKliyJq6srn3zyCUePHmXr1q14e3tTqFAh/RrR0dGUL1+eNWvWWF27Y8eO7N27N69vKVdovx5H\nXbvYMj3fwDEZrmYqRE5kmFTv37+fpXXEHRwcKFo0+xP0PjrO1dXVle7du7N9+/ZUSTU4OFgf3gWW\nJSQ8PDyy3W5OGI1Gu7Y9efJkFi1ahMFgYNq0abRv356oqCh27tzJ+PHj+eCDD6hb17JG0tatW2nT\npg0ffPABTZo00a+zefNmQkJCUt1HcnJyuvdm7/vObNtqXCymFfNJuXge95H/xrGqT561bWvStn1s\n2rRJ/9nHx0dfdSE9GSbVyZMnp5pQJTIykmLFiqV5vNFoxN/fP7OxPpaqqri6uqbantaNPY1zPXp4\neODu7k6xYsXw9PTUp6o7f/48sbGxJCUlERcXp8eXnJxMSkoKH3/8MYULF2b9+vW4urpy7do1SpUq\nleo+VFVN997sfd+ZaVv783fUFfNRajdA+cwfk7ML5DDmgnDf0rZt23645ldmZZhU582bl2rb4MGD\nWbhwYdYiyySz2ayXEiYkJLBt2zarsYIitcKFCzN8+HBOnz7Np59+SmBgIP369dNLiIcPH46zszPd\nu3enfPnybN68mWLFihEaGkrHjh3x8PDg0qVLNGzYkN69ezN9+nROnDgBFNzVOLXERLTtq9B+OY6h\n/8coNes//iQhbMSufaoODg5WX/lPnz7Nnj17cHJyQlVV2rVrJ2NfH8NkMrF8+XJ2797N8uXLcXNz\no1q1avj5+XHnzh1KlixJVFQUK1eupGXLlnTs2JEePXqwb98+mjdvTp06dfDz8yMyMhKTycT48eP1\naxfE1Ti1q3+hLvNHeeY5DJPnoxSy39dG8XR6bFI1m8368rhg2/r+f6531axZM5o1a2az6z/pIiMj\neeWVV+jevTuBgYH69HXTp08H4JNPPuHtt9/m9OnTLFy4kB9//JHo6GhOnTrFgwcPOHz4MFFRUbi4\nuBAfH0+zZs3YvXt3gSw31pKT0XZvQju2F+X1DzA0zHjaSiFyy2OT6pAhQ4iPj6dw4cLUr18/zVmA\nRGr379/H1dUVFxeXXGujWLFi7N27FwcHB86cOcP69eu5fv06RqORxMRErl69yoULF3B2duaZZ54B\nLP2k33zzDRUrViQoKIj58+ezefNmFEVh5MiRHDx4kP79+3Pu3DliY2P1uUjt5dy5cyxYsIAbN24A\nlmF3Xl5evP7667Rr1w4ALexv5g9+n73Xb2EoUYr63+7js1oN9D/7Tp06sWfPHrvdg3i6PDapOjk5\nsWrVKu7cucPJkyeZO3cudevWpV+/fnr/p7B29epVlixZgqenJ2PGjMmVlTwfcnBw4IcffmD27NlM\nmjSJ559/HpPJxHfffcfSpUtZs2aN/mLx7t279OrVi7fffhs3NzcuXrxIpUqVmDt3LoMGDeKLL75g\n4cKFJCUlsWbNGmJiYggODrZbF0xCQgLvvfceq1evtlq4z2w26/fQzBRB4OKv+LtQcfac3oPBYGDF\nihV8/vnnTJ06FSBHhSpCZJXhcQc8TAje3t506dKFOXPm4OTkxGeffUZUVFSuB1gQpaSkoKpqukvR\n2NrBgwf54IMPqFevHi4uLhQtWpRr165x8+ZNunfvTrdu3ejWrRstWrTAaDSyefNm9uzZw8WLF9m5\nc6c+JtjR0ZGhQ4fi5OREvXr1MBqN+hOuPTg5OeHl5cWvv/6Kv78/S5Ys4cGDBwQHBxMfFUXJPRvQ\nfj3OEa8KDBg/SZ+K8q233uLw4cN2i1s83bL8ospoNNK/f38OHTrEtGnT+Pe//52rX3ELosqVKzN8\n+HDc3d1z9Sn1oXbt2uHv70/ZsmWpWrUqiYmJ/PTTTxQvXlxfOwzg448/plKlSpjNZlJSUkhOTuby\n5ctcvXqVli1bWl2zV69erFy5Uj/XHhwcHNi6dSsdOnQgOjqa5ORkDh06xPmzv/Nd67qUaP4SSvtX\ncRkzltjYWP28hIQE+W9S2E223/63bduWiIgIli5dKv2saShVKvfXgX/I19cXd3d31q5dy7Vr1zAa\njRQrVkz/mvyQqqr88ssvHDx4EEdHR5ycnKhQoQJ9+vShVatWqa6bH/ohnZ2d8fb2ZuzYsZR0MVL7\njx/5V8g5So6fiVKuIgA9e/Zk+vTpfPXVVxQqVIgpU6bQo0cPO0cunlaZ6lNNT8+ePRk7dqy+frqw\nnzp16lCnTh17h2EzGzdu5PTp0wCWbopVy3EOvYxSsizhODJ63iLAMjh74sSJjBgxgsmTJ3P58mUS\nExO5cuUKe/fu5e+//9ZLcsPCwpg4cSLffPMNAAsWLGD//v1W7ZpMJu7fv8/x48f1ES9CZMVjk+qX\nX36Z7j6DwcCoUaNyVJoqRFr+9a9/0bhxYzSTiQ+93dCuXcLw/gyUZyszplAh4uLigP/9o9+8eXPC\nwsLo1auXfo34+HhatGiBo6PlP3NVVUlKStL3f/TRR1Yro167do0xY8YwYMAASagi23I8+L9EiRK2\niEMIK8WKFaPonVB+/3IaC0PvE+bgjPKfuaSkpODp6Ymfnx/dunWzOmfp0qVWSXXq1KnUqFGDiIgI\nIPVClQ+FhYWxePFiNmzYoK9kIUR2ZZhUly5dmqU32I6Ojrz//vs5Dupppqoqa9eu5cGDB7z99tu4\nu7vbO6Q8p5kT0batIu7nIAaducqaTZupVKmSvt9sNtOvXz+8vb3TLRaZP38+a9asYdu2bVy+fJlu\n3bphNpv1hwCTycSBAwfYtWsXcXFxvPPOO3Tu3JmVK1eydu1aWrZsyauvvmrXF3WiYMowqdasWVOf\npUrTNNasWUPfvn3RNC3VW21N0/SvWSL7EhISOHfuHJqmcfPmTapVq2bvkPKUdvWipcy0fEVcp3yF\na7ce+npTnp6exMfH89dff3H//n28vLyszi1atCgdO3bkxo0bxMXF4e7ujp+fH1WqVGHRokW4urrq\nZbh37twhPDycqVOnUrp0af0ajRo1Ii4ujmPHjuXZkDjxZMkwC/7zKWDLli2pSkuFbbm5udGnTx8e\nPHhA1apV7R1OntGSk9H2bEI7uhel93sYGrXAQNrrTdWpU4cFCxZYrTcFsHbtWnr27MlHH31Ep06d\nWLhwIdHR0Vy7do3IyEir8tsKFSowYMCANGMpVKgQnTp1ys3bFU8webTMh562SWS0W6GoAf7gURjD\nxLkonv97Ak1rvSkPDw+uXr1K3759Wb16tb7d2dmZHTt2MHPmTDZv3szHH3+Mk5MTV65cYerUqSQl\nJRETE8ORI0eYM2cOgD5yJSwsDA8PD6t5OxVFYfHixQVyLgRhPxkm1WnTpukL/oFlAo8pU6bon0uX\nLi19qCLbNFVF+24X2u6NKK+8idKyQ6aLJVRV5ddff031sgrg77//xtvbm+HDh/Prr78yffp0HBwc\nSElJISoqipCQEHbu3AlYZuLauXMn06ZNo0WLFqmKIITIqgyTaq9evfSkGhwcjKenJ+3btwcsfahz\n587N/QjFE0mLCEddPheSkzCM+w9Kyaw/DdarVy/VEjAAkyZN4uTJk4BlbbWHCRQsIwK8vb3Tjimd\n0QFCZEWGSfXRPr0HDx4QHx9vNchfxvKJx4mLi2Pjxo2UKFGCLl26WFYz/ek7tM3LUdq9itK+W5qr\nmT6OoihWY04f5eDgwI0bN+jSpYvV9oiICGJjYxk5ciQ9evTAbDZz9+5dwDLm+uHcAULkhPSpilx1\n+fJlQkJCCAkJoX2zJjhs+C+E38IwfBpK+YrZuqamaRQuXBgHB4dUiRMs/9gHBgbqq/4mJSXh7+/P\nsWPHqF+/Pmazma1btwL/m4j70cm5hcgJSaoFSGxsLIcPH6ZatWoFpiz4+eefp0WLFlSJv4/DjJEo\nTVujvD8KJYPy54zExsYye/ZsVFVl2bJlj504JSgoiC+//JJu3bqxe/duTp8+zcCBA3n77bf1riwh\nbCnDpBoYGKj3qYaGhhIREcG2bdsAy9PCozMDidx34sQJfvzxR86fP8+4ceOydG5SUhJXrlyhUqVK\nGc7nYGuOSWY6hV9GuxiM4YMxKFVq5Oh60dHRHDt2jL///pujR4/qE2iHhIRQrVo1qxddXl5eDBs2\njFWrVvHgwQMAGjRowIYNGzCbzTmKQ4j0ZJhUk5OT9c77MmXKULp0ab0YQFEUqxmQRO6rWbMmFy9e\nfOwSuWkJDAzk1KlTNG7cOM9mcNJCzlpWM/Wpj2HiPBSX1CvjZlWZMmVYsmQJCQkJVlVWnTp1Ytu2\nbelOnN69e3erOVYfHpfeaIMVK1awZcsW/b/z7t27A3Djxg1GjBjBN998g6ZpzJ49myNHjgDw4osv\nMmbMGBwcHNi3bx8XLlxg6NChOb5nUbBkmFRfe+21vIpDZEKpUqX48MMPs3Xuw/GXj1s//cqVK+zY\nsYMmTZrQpEmTbLWlmRPRtq9BO/09hn4fodRqkK3rpKdatWppLlmcnbf3j45zfWjVqlVs3bpVf3G1\nevVqvLy8aNmypdWkLOvWrePBgwf6FIn+/v4sXLiQIUOGkJKSoj+AiKeL9Kk+JTp06EDTpk0pUqRI\nhsf98ccfhIWFcerUqWwlVe36JdQAf5Qyz2CYNB/FvXB2Q84SBweHDN/ee3h4pPlSC2DChAk0atRI\n/9yvXz/69esHWMbD9u3bl3LlygHWifvo0aNW3TADBw6kZ8+eMr/wU06S6lPkcQkVoGXLliiKkuW5\nWbXkZLS9W9CO7EbpNQClUYs8WfXgoUfHoqYlMDAwy9dUVZVx48bRtWtXzGYzXbp0ISUlhZIlSwKW\nUQaPvleIjY3Vhxlqmsa6des4cuQI48ePz/ZTvyh47JJU7969i7+/Pw0bNtT7qpKSkggICOD69euo\nqkrt2rXp06ePPcJ7qnl6etK1a9csnaPduoG6zB/c3DFMmItS1OvxJ+VzERERjB49mjt37lC+fHmq\nVq3Kzp07uX//PsOGDQMsk7T/+9//Zt68eTg4ODBu3Dj8/PwAS19tnz59+OSTT+x5G8IO8jypRkZG\nEhAQQJMmTazewO7cuRNPT08GDhwIwFdffUVQUBAtWrTI6xAFlqe0xw2G11QV7chutF0bUF7pg9Ky\nY54+neaWgIAAAgMDGTt2LL6+vmzatInXXnuNefPmWU3F2LJlS8xmM59++inJycl069ZNf0gAqdB6\nWuV5Ui1WrBjjxo3j6NGjhIeH69t/+uknq3kFunbtyvr165/4pHr8+HFiY2Np27ZtvqnoCQ8PZ8GC\nBRQrVoyPP/44zbjUe3dQF3wO5kQMY/+D4v3kTDpStWpVtmzZwr179wDw8/OjQYMGnDlzhlq1alkd\nW79+fRRFkYmthS5//BZjmTTYzc1N/+zt7W2VdJ8kJpOJhIQEoqOjCQwM5NChQ1y+fJmUlBT9F9me\nIiMjMZlMhIeHp5pTVNM01J+OEPPpQJTn62AY/cUTlVDBsjRLaGio1T/ye/fu5YcffuD48eNWT+M3\nbtxg9+7dqa7xcGFF8fTJNy+q0vramN6TW3BwMMHBwfpnPz+/xw4Vyi1GozFLbUdERDB79myMRiOf\nfvopLVq0IDo6mueff56NGzfy22+/0b1798fOlnTu3Dlu3LjBSy+9lOYcDGazOd0xm4/ToEEDnJ2d\n8fT0tJoIWo1+gOmbOaTcukGRSf5oZStk6/o5ldU/8+xwd3fHyclJb6dly5Z8//33dOjQgVdffVXf\nXqhQIavjHsqN4Yh5cd/SdmqbNm3Sf/bx8XnsOPF8k1SdnZ2Jj4/Xn1Zv376damb3h9K6sbTGLeYF\nDw+PLLUdGRlJXFwciYmJREVF0blzZ8BSaBETE4PZbCYqKuqx1wwICND7PZs2bWq179ChQxw4cIDO\nnTtnu/ukQoUKAFy/fp2lS5dS15DEv+5eQmnSCuWtoWjFvArMn3l2GI1GTp48mWrp7v3796OqKhs2\nbMDNzQ1XV1eOHj2a5hLfBoOBLVu22OyJNS/uW9pO3fbDl4+ZlW+SarNmzdixYwe9e/dG0zR27NiB\nr6+vvcN6rMTERNatW0ehQoXo2rWr/sStaRrJycmpfqFKlSrFkCFDcHJySrX+1Ouvv87t27d55pln\nHttu48aNCQsLo0qVKsTHx3Pr1i0qVaqEoih6t8nDGZhy4u71a7QKDea55HiSh0zA2adujq9ZEBQr\nVoxTp06l2v7PX/CyZcvq0wwKAXZMqg4ODnrdNlheTK1cuZJJkyahqiq1atXixRdftFd4mXb9+nXO\nnDkDWL4ienp6omkaw4YNIzIykunTp6dKkunNJO/s7Myzzz6bqXZffvll/Rf866+/5urVq/qT6auv\nvkqNGjVyvL6VduEcVTYu4l6lSkR36EkJn5o5up4QTwO7JdV/rnXl6OjIu+++a6dosu+5556jRYsW\nFCpUSF95MywsjHPnzpGcnMzFixcz9eSZEw+7TAoVKgSAq6trlgfvP0pLMqNtX4126nsMfQfjXbsh\naU/rLIT4p3zz9b+gcnBw0PtFHypVqhR9+vQhNjaWl156Kddj6Nu3LzExMZmqmHoc7fpl1IA5UKY8\nhonzUTzypsxUiCeFJNVc4ODgwDvvvJOtc2NiYli2bBlFihShX79+mRq7ajAYcHNzIzQ0lHLlymVr\nAL6WkmIpM/1ul13KTIV4UkhSzWfCwsK4efMmYWFhJCQkWI3dDQ8PJyAggHLlyvHmm29anbdx40bO\nnj1Lu3btsjwQXbt9A3XZXHBxxfCZP0qx4ja5FyGeRpJU85mqVavyyiuvUKRIEauECpaB5pGRkcTE\nxKQqgXz40s/RMfN/pZYy0z1ou9ajdH3DUmaaT6q6hCioJKnmM4qipDuUrE6dOphMJry9vVN9Nffz\n86N169bprhT6T1pkOOqK+ZBgwjBmFkqpsjmOXQghSbVAMRgMNGvWLM19Dg4OmUqomqah/XwUbdMy\nlDZdUDr0QHHI+mqmQoi0SVK1s5MnT7Jjxw7atWtHixYtSElJYcmSJURFRfHhhx9SpEgRDh48SFJS\nEh07dszWpCsPHjxg//791Kr4LNV+OQq3b2AYNhnlmedsf0NCPOWkA82GTCYT586dS3c9+rRcvXoV\nsxBceZ4AACAASURBVNnMtWvXAEuF1t9//839+/eJiIggPDycQ4cOcezYMUJDQ63OPXLkCIcOHXrs\nFHOnTp0i7qdjlF32H5Ti3hg+myMJVYhcIk+qNrRlyxb++OMPfH19eeWVVzJ1TpcuXXjmmWf0uQzc\n3NwYMGAAsbGxPPfcc6iqStOmTTGbzZQt+79+z4iICAIDAzGbzVSuXFmv1f8nzRSP75UzmJMjudGh\nNz6v9szxfZrNZgIDAylSpAgNGth2/SkhCjpJqjZUrFgxq//PDDc3t1QTolSuXFn/2WAw0K1bt1Tn\nFS1alAYNGhAVFUXp0qXTvLb21znUZXNxqVEX19nL8HRxS/O4rAoODubIkSMkJSVRr149q3JjIZ52\nklRt6OWXX6Z169a4uuZ8KebHMRgMeiXVP2lJZrTANWg/B2HoOxilTkObtl25cmWqVatGsWLFJKEK\n8Q+SVG0sNxOqpmls3bqVmJgYevfuneYck9rfl1ED/KFUOctqpo+UmUZFRVG4cOEcV0p5eHgwaNAg\nu03HJkR+Jkm1AImJidGnmbtx44a+qif8f5npvq1oh3ei+L2D0riVVfIMCgpi165dNG3aNM3uhKx4\n8OAB/v7+uLi48MEHH+SbZWCEyA8kqeYiTdO4e/cuJUqUSJV4oqKicHZ2xsXFBYDQ0FA8PT0znOG8\ncOHCvPLKK8TFxfHcc/97e6/dvmlZzdTF1fJmv1iJVOfGxcUBtpnM+969e0RERJCcnJyqlFaIp50k\n1Vx08OBBDh06RKNGjayW1wgNDWXRokUULlyY0aNH8+eff7Jq1SqKFi3KuHHjSElJ4ZtvviEmJoYP\nPvjAKtE+Wm2lqSrqkd1oO9ahdHkdpVWndMtM27dvT+XKlSlfvnyO76ty5cq8+eabODg4pJtQY2Ji\nSEpKytJLOyGeBJJUc5GqqgCkpKRYbU9KSkJVVcxmM5qm4eLigsFg0PtjTSYTV69eRVVV7ty5k3bf\naeQ94uZPRY2JIu7DzyhS9fkMYzEYDFSpUsVGdwYNGzZM96k3ISGBOXPmkJCQwNChQylVqpTN2hUi\nv5Okmovat2+Pj49PqiFPlSpVYtiwYbi5ueHo6EjlypUZN26c/tTn7u7OW2+9RWxsrNXwKnhYZnoM\nbVMAxo49+PriTa4GrKBv377UrJl/ZuaXNe/F00qSai5SFCXdr9sPE+2NGzcoUaJEqgmmq1evnuoc\nLSYade0iCAvFMHQyLjXrEjNxIn/88QerVq1iypQpeTKc63FcXFwYOXIkZrNZvv6Lp468ts2hCxcu\ncOnSJf2z2Wxm7969nD179rHn/vDDD8yfP59Vq1Y99ljt7CnUqUNQipXAMMEf5VnLi6pevXrp1VRR\nUVHpnp+QkMC2bdv46aefHtvWo6KiovQS2qxwd3eXhCqeSvKkmgN3797l66+/xmw2M2rUKBRFYeXK\nlVy5cgUPDw9q1aqV4ZhQR0dHYmJi+PPPP4mKikpzORQtIR5t0zK082cwDBiBUq2W1f5nnnmGQYMG\noapqhn2XwcHBnDhxAkVRaNy4caaHQf1fe/ceF1WdP378NcNFZgDlbl6QVAQUtUxR0spw1TVFN69p\nmrprrJs++rZbZmLfcl238tG3zUthWttWi22FX82Q8FKKGgkKGKLgnQTkfr8Iwwyc8/uDL+fHyB1h\nHPTzfDx6xJyZc97nM/J4cy6f837v2LGD4uJinnvuOUaMGNH6CoJwnxNHqm1UUVFBREQEqampyjI7\nOzscHR1xdHTE1taWH3/8kbS0NG7dusWECRNanWTv7++Pu7s7FhYWnDhxotH78pVkpI0vgSTVTeT3\nbjqpDR8+HHd3d86ePUtNTU2Tn/Hx8WH48OFMnjy5XfNKbW1tjW6itUaWZY4ePcrp06fbHEMQ7iXi\nSLWNoqOjOXnyJJcvX+aVV14B6p7bf/PNN6moqADg4YcfJjs7m4kTJzJq1Kg2bXfSpEnExcUZdT+V\nDXrk775Ejj2BeskLqB4e1+p2du/eTUZGBkVFRU22U7G1tWXp0qVt2qeGVq1ahU6nw87Ork2fv379\nOocPHwbqEnlnNCMUhO7ErJJqff/6+lbLFhYWBAcHm8Xz5b6+vly+fLlRsoyKiiI2NpY5c+bg7e2N\nt7d3u7br7++Pv7+/8lpOT62byO/WB/WGbajs25aU+vbtS1ZWVqdPX7K0tGxzQgXo168fXl5e2NnZ\ntfgggyDcq8wqqcqyzPLlyxk2bNjd3pVG3N3deemllxotj46OJjs7m+TkZKPSfC05f/48iYmJTJs2\nDVfXuqeflMdMfwxHtWAFKv8n2/WM/ty5c5k9e/Zdf2RUo9Hw/PPP39V9EIS7yaySqkqlYu/evXzz\nzTdYWloyc+ZMHn744bu9Wy165plniI+Pb7bNSVN++OEHcnJycHR0JDAwEDk3C+mzrWBlXdfN1NmV\n5ORkCgoKePzxx9ucKO92QhUEwcySalBQkNINNC8vj82bN+Pi4kL//v3v8p41z9vbm759+7ZrncmT\nJ5OYmMi4sWORjkcif/clqsCFqAJmoFKrqampITQ0FEmScHR0ZOTIkV2094IgdDaVbMaPvoSHh2Np\nacn06dONlicnJ5OcnKy8XrBgwV0rQ2dtbY1er2/3elJRPpW7/ge5vAzt6vVY9Btg9H5oaCjZ2dk8\n//zzzc737GjsziBii9j3Q2x7e3vCwsKU176+vkqXjuaYdVLdv38/Dg4OPPnkk61+Nisrq+t3qAn2\n9vZKQq+qquLq1at4e3vTo0cPZFkmPDycqqoq5s6di5WVVd1jpmdOIn/zz7oj06fmobLs2AlDw9hN\nqaysJDw8nL59+/LEE090KEZHY3clEVvENpX2noWCmc1TbfjXKD8/n5iYGLO/ptrQ/v372b17NwcO\nHECv1/POO+8QEhLCmTNnSE9PR64oQ/74f5C/D0P9X2+inrmwwwm1LZKTkzl79izff/+9eBZfEEzE\nrK6phoWFceXKFSwsLLC0tGTlypU4ODjc7d1qMxcXF6Burubf/vY3ioqKcHV15aGHHuLBikKknZtQ\njXkc9e9fQmXdo8Vt3bp1i4iICDw8PPD390eWZfbs2UNJSQlLlixpUw1TX19frl27Rr9+/e642r8g\nCG1jVkl1yZIld3sXKCoqwtHRsUNJyMnJifHjx3P58mX0ej3jx4/nEd9h+FyIQf7qY9QrXkbl8/9v\nOtXW1pKbm0ufPn0axUtKSiIhIYGkpCT8/f2pqqoiPj4egLS0NIYObbnUH9Q9nLBo0aJ2j6M9bt68\nyc2bN/Hz8zOL+cSCcLeZVVK9244fP05kZGSbW45UVVUhyzIqlYra2lrCwsKQZZnJkyej0WgY59IL\ni9APYYgv6je3odLaGq2/b98+4uLimDx5MlOnTjV6b/jw4Vy7dk0plqLVapk/fz4lJSXtfsCgK336\n6afcunVLqSkgCPc7kVQbqKysNPq/LMuEhYVRXFzMkiVLjJ4s0ul0vPfee+Tl5TFz5kymTp3KY489\nRk5ODv5jRmN37ADyd1GoF7+AapR/k/Hqr3PWF7NuyN7enueee85omZ9f811RL1++jCzLTZYM7Epe\nXl7KJQZBEERSNTJt2jS8vLyUGqg6nY6EhASuX79OUVERL7/8stJTSpZlKisrSUlJQZZlPD09mTlz\nJnLGr0jb/4rs2qfu6LRn89eE58yZw4QJEzp0h7GewWDgyJEjREZGYmtryyuvvELv3r07vL326urL\nC4LQ3ZjV3f+7Ta1W4+npSY8edTeRNBoNgYGBaDQaSkpKyMzMVD6r0WhYs2YNc+bMYfDgwbi5uCAd\n/F+k999ANfVp1KuCW0yoUPdc/Z3eRIqJieHYsWNkZmbi7Ozc5uftv/vuO15//XUuXLjQ4ud0Oh03\nbtwQswcEoY3EkWornnjiCSwsLKiqqmLQoEFG7zk7O7Nu3TrKrl9G2vF3ZEurum6mzm7NbA1yc3Nx\ndnZWnhxrTlVVFR988AFWVla88MILyhHy7R588EGcnJx47LHH2tV6OiMjA4PBQFZWVottWEJDQ7l6\n9SqBgYGdPtdVEO5FIqm2QcMOpg3Jskz1D+FI3/wT1YxnUE0KbLabaX5+PgkJCRw7doxhw4axfPny\nZuPduHGDr776isjISHr37s3SpUubTaoDBgzg9ddfb/eYnn32Wa5fv97qPOD6uPVH74IgtOy+SKpl\nZWVERkbi5eXFI4880ub1Pv/8c9LT0wkKCjJq3mcwGIj8ajdjL8XRx06Leu1mVH2a7kUlyzLZ2dl8\n8MEH5OTk0KtXr0bdVW8XERFBSkoK9vb2eHt74+zs3OZ9bisnJ6c2tTsJDAzE3t6+0VF6W1RWVmJl\nZYWVlVVHdlEQuqX7IqkmJCRw9uxZrl692mJS3blzp/K8ff/+/UlNTUWn05GTk2OUVAsO7ufJ6HBi\nezjg/MZ7WGuan4j/73//m/j4eCorK/Hw8GDRokXKNKnmjBs3DkmSGDJkSIenKV24cIHs7GwCAgJa\nvdTQkqNHj3LmzBny8/MJCgpq83qZmZns2LGDXr16sWbNGlFBS7hv3BdJ9aGHHiItLa3F+Z0JCQns\n3bsXCwsLpkyZgru7O0FBQeTm5iqnyPKtcuQvd+KakUr0hBncrFGRkZXN4MGDm91uQUEBKSkp9OnT\nh0WLFrVpjqmfn1+L06daI8syX375JbW1tTg5OTF69OgOb8vHx4erV6+2WkTidjqdDoPBQGVlJZIk\niaQq3Dfui6Tq5OTU4jVMqGs34u3tja2trXJ06O7urkyvki8kIH3xIaoxE7BYvpXhZeVEvvsuv/76\nK6tXrzY6km1o2bJlZGZmYm1trXQ0iI6OJjMzE09PTyRJuqME2hSVSsXYsWPJzMxk4MCBd7St4cOH\nt3gjqzmDBw/mxRdfxNbW9o6OlAWhuxG/7f/Hx8eHzZs3Y2NjY5QEKgoL0B4MQz6fgPoPf0Y1tK6X\nlL19XesQS0vLZusTfP311yQlJbFs2TI8PDxwcHBAlmUiIiLQ6/UcOnQIV1dXnJycWjza7Yj2zATo\nKvV/kAThfiKSagO392I6/Z8vGHginJIBg+m3YTvHYmL53+0v0KtXL5YuXcpLL72klCUrLy/Hzs7O\naM5pVlYWNTU1lJaWKolXpVIxffp00tLSKC0tRa/X4+bW/BQsQRC6l/s+qaanp6PRaJReUQCJ8XFU\n7/03Q0uy2adxw857LPO0tqSnp5OdnU1hYSFxcXFKL63Y2Fj27dvHqFGjWLhwoZJYly1bRnp6eqPK\n/bfP96yqqiIuLg4fHx/RLE8Qurl7PqmWlJSg0+ma7DKanp7Ohx9+iLW1NevXr0eWZbTFefQL3UaO\nQeKI3zTG+o9n0KBB6HQ65syZg5ubG2VlZUycOFHZTllZGeXl5YSFhVFWVsbKlSuBuqPS8vJyqqur\nWyzVd/DgQWJjY1udvyoIgvm7p2/J6vV6tm7dypYtW8jIyADgyJEj/Otf/1KOOnv06IGdnR2R30cQ\nFfxfVG9eR97wcexSOTLo4Uewt7fnzTffZOPGjRQXF/Ob3/wGV1dXdDqdEqc+wd66dcuoA8GePXuI\niIjgyJEjLe5n//79UavVLV6DLCkp4dixYxQXF9/JVyIIQhe7p49UVSqV0t/GwsICWZaJioqitraW\nxMREbGxsmD17NmM8+lPw3puUG6o49Zs5XCkoRmtry7Vr1wgNDeXcuXMMGDCAsrIy0tLSOHLkCA4O\nDqxfvx6om+Rub2+Ph4cHc+fOVeJ7eXmRnd3ylCuAsWPH4ufn12INgO+//55z586RlZVlFnVnBUFo\n2j2dVK2srPjLX/6CwWCgZ8+eAMydO5fMzEwyMjLIvHmTgTevog4LwWnK0xzKKeNBZzee8vMnLi4O\nOzs70tPT0Wq1rFixgpEjR5KZmYmbm5tyPRXA0dGR5cuXYzAYjK6fBgQEEBAQ0KZ9ba2oire3N6mp\nqXh7e1NUVMSBAwcYPXp0h6Y7CYLQdcy68V97tLfxX21xAdLn21FXlKNe8RfSDTIhISEAvPrqq7i6\nunL+/Hl2796Nl5cXK1asaHI7tzcli4mJ4eDBg0yfPh1//6brqAJUV1cTHR3N4MGDW33C6nZHjx7l\n8OHDuLq68uqrr7Zr3c5yvzaCE7Hvr9gdKct5zxyplpeXExUVxbBhw/D09OT69etIkoSnpydnzpyh\nsLCQX375BScnJ54fNRS++Sd53g/Te9V6VD1s6GswMGLECKysrHB0dGTjxo1kZmaydu3aJifQ5+Tk\nEBUVRUBAgNFNsPpHW1NTU5WkWlVVxUcffYRKpVIqTsXExHD48GEcHR0JDg5ucWw6nY6PP/4YtVpN\nUFAQo0ePJi8vr111DARBMI17Jqn+/PPPREdHc+7cOezs7Dhw4ADl5eXMnj2boqIiYmNjqS4qYIN3\nXyov9yPC1ZNzqXk8dSqGgIAArKyslEr7Op2On376ierqaj755BPmz5/PmDFjgLr+UAaDgYSEBH75\n5Reqq6uN7tjPmjULDw8PHnroIWVZaWkpOTk5QF3yt7GxwdPTExcXlzadvhcXF3Pz5k1lW25ubixa\ntOiu/gUXBKFp98zpf1xcHLt27SI9PZ3c3FzliNHFxQV/f39qz8fz3x6OHMopYWfuLSZPn0FZWRmS\nJNGzZ088PT2ZOnUq1tbWnDp1itTUVM6fP0+vXr1wcHDg73//OyUlJWzevBlJkpg/fz6JiYlMmTKl\n2dP3CxcuEB8fz29/+1sKCwtRqVTtfoa+XmJiImq12uia7f16SiZii9imcl+f/r/xxhvk5uZy5coV\nZFmmT58+FBUVobFQ4/9rEk8OcGTjjWIOp2VjaWnJzz//zCOPPEJOTg7Hjx/HxsaGkpISevfuTXx8\nPC4uLmzdupXw8HDl9N/GxgYHBwcMBgM+Pj74+flRUVHB7t27GTNmTKP+UMeOHePmzZs4ODjw9NNP\n39H4Wqt7KgiCeTC7pFpQUMCuXbuorKykpqaGWbNmNVskuqHExEQcHR3RaDSo1Wp0Oh3eVvCelzPx\nReX8Nvoidm51vZtkWcba2hpra2uefvppMjIyUKlUjBgxgoEDB3Lw4EGqq6tJSkri97//vRLDxsaG\n1157DVmWlapLJ06cICkpiZKSkkZJdcqUKSQkJPDoo4924jckCII5M7ukunPnTn73u98xYsQIKisr\n2bBhA0OGDGn1+fjS0lJ8fHxYvHgxssFA5Z7PmNd3AP99IZ3DeaWo1WoMxcXU1tZSW1tLTk4OKSkp\nxMXFYWlpyQMPPIBer8fDwwM/Pz8KCgro378/ANeuXcNgMODs7KzcyKr3+OOPk5+f32SlqaFDhzJ0\n6NDO/YIEQTBrZpVUy8rKqKioYMSIEUBdr/uAgABOnz7NzJkzW1y3pqaGM2fO0KMghw0eDlzrqeWp\nn1LI19cAdUenVVVVynYNBgO5ubkUFxcjSRIVFRVERkZy8eJFYmNjmTlzJkOGDOGHH35gy5YtuLm5\nYW9vr9yt12g0QF2lKvFoqSAI9cwqqebn5zc6In3ggQdITExsdV0XJyfmOVoT1FdDpIU9X966RYHB\nuG2JSqXCysqKZ599lrS0NNRqNVevXlUKqjg4OHDjxg2Ki4spLS0F4NKlS0iShF6vR6PRYGlpeUfd\nTwVBuLeZ1d3/1NRU9u/fz8svv6wsO3v2LOfOnTO6tpmcnExycrLyesGCBSbdT0EQ7h9hYWHKz76+\nvq3O4DGrgiouLi7k5uYaLcvJycHFxcVoma+vLwsWLFD+azhoUxOxRWwR+96O3TDXtGVKpFkl1Z49\ne2Jvb09SUhJQV6gkKipK3D0XBKHbMKtrqgCrVq3ik08+Ye/evdTW1jJv3rxGR6qCIAjmyuySqpOT\nE6+99lq71unoU0qdQcQWsUVsEbshs7pRJQiC0N2Z1TVVQRCE7k4kVUEQhE4kkqogCEInEklVEASh\nE5nd3f/26GhFqzv10Ucf8euvv2JrawuAhYUFwcHBWFhYdFnMvLw8tmzZgp+fH3PmzAHAYDDw6aef\nkpaWhiRJjBw5ksWLF5sk9smTJ/nmm2+MHitetmxZu1vDtOTrr7/m4sWLqFQqZFkmKCiI/v37m2Tc\nzcU2xbj/85//cPnyZVQqFdXV1UycOJFp06aZZNzNxTbFuOtVVlayceNGBg4cyJ/+9CeT/Z43FbtD\n45a7sU2bNslJSUmyLMvyrVu35DVr1si5ubldHjckJEROTk7u8jj1CgsL5bffflvev3+/HBYWpizf\nu3ev/NVXXymvt2/fLp84ccIksaOiooxed4WbN28qPycmJsp//etfZVk2zbibi22KcVdVVSk/V1dX\ny+vWrZMzMzNNMu7mYpti3LIsy5IkySEhIfLRo0flkJAQWZZN8+/dXOyOjLvbnv63VNGqq6lUKvbu\n3cuGDRvYtGlTmwq+3AknJyeCg4Pp1auX0fKYmBhmzZqlvJ41axanTp0ySWy1Wk1cXBybNm3ijTfe\nICIiolPjQl0FsHoDBw5E/r/Zf6YY9+2xJUkCTDNuGxsb5eecnBysra1xcHAwybibi22KcQPs37+f\nRx991KjvmynG3Vzsjoy7257+30lFqzsVFBSEpWXdV5eXl8fmzZtxcXFR6q+aSlVVFVqtVnndu3dv\n8vPzTRJ7woQJPPHEE8p+fPjhh2i1WiZNmtQl8b799lule4Kpx/3tt98ye/ZswHTjfvfdd7lx4wYq\nlYrg4GC0Wq3Jxt0w9rp169BqtSYZd1JSEpIkMWrUKFJSUpTlphh3c7E7Mu5ue6TaXPk9U5Tlq0+o\nAG5ubjz55JNKvQJTamqs9R0JulrD68cajYY5c+Zw9uzZLol1/PhxbG1tlZYyphz37bFNNe61a9ey\nY8cO1qxZQ0hICHq93mTjbhh7x44d6PX6Lh93QUEBJ0+eVK7Zyw2eSerqcbcUuyPj7rZHqm2taGUK\nkiQZ/SU1lR49elBZWanEzsnJwdnZ2eT7AXXfQX3h7s508uRJ8vPzmT9/vrLMVONuKvbtumrc9QYO\nHIizszMZGRkm//duGHvw4MFG73X2uGNjYykoKOCdd94BoKKigqKiIv7xj39gY2PTpeNuLvb7779v\nVIYU2jbubptUG1a0GjlypFLRqr11AzpCr9djbW0N1F2GiImJITg4uMvj3m78+PGEh4ezcOFCZFkm\nPDzcJLMfwPg70Ol07Nu3j6eeeqpTY/z444+UlpY2SmqmGHdzsbt63JIkIUmScjZ048YNMjMz6dOn\nT5ePu7nYffv27fJxBwYGEhgYqLxOSUnh+PHjrFq1in379nXpuFuK3ZFxd9ukCnevolVYWBhXrlzB\nwsICS0tLVq5ciYODQ5fHtbCwMDodmTVrFl988QUbNmxAkiRGjBjBY489ZpLY8fHxREZGYmVlhSRJ\nTJ061ah99p26du0aX3zxBZ6enly4cEFZvnbt2i4fd1OxVSoVa9as4ZdffuHgwYNdNu7CwkLef/99\nrK2tUavVaDQaXnnlFbRabZePu7nYGo2GU6dOdem/9+3UarXy+2bK3/PbY8fFxbX731sUVBEEQehE\n3fZGlSAIgjkSSVUQBKETiaQqCILQiURSFQRB6EQiqQqCIHQikVQFQRA6kUiqgiAInUgkVUEQhE7U\nrZ+oEu4tx44d48CBA02+J8sytbW1bNu2rU3FNP785z/z9ttvk5KSwtmzZ/njH//Y5v2Ijo4mJSXF\naJ2amhpCQ0OVknOPPvooS5cuVR7pjI6OJjk5mZUrV7Y5jnBvEklVMBuTJk1qsaTaihUr0Ol0aLVa\nsrOzef3117Gzs1PeV6lUvPXWW9jZ2WEwGJAkiZqaGmpqapTPJCcns2vXLqPtVldXM27cOP7whz8A\nNFoHIDQ0lIKCAkJCQgD44IMP+OyzzwgKClLWqa2tvbMvQLgniKQqmI1Lly7x6aefNkpo9bRarVJE\nuaioCA8PDzZs2NCuGL6+vmzfvt1oWUpKCnv27Gl2Hb1eT3R0NNu2bVOKa6xatYrVq1ezePHiu1Kh\nTDBfIqkKZiMlJYUxY8bwzDPPmDRua+Uvrl27Rr9+/YyOijUaDT4+PiQlJeHv79/Vuyh0I+JGlWA2\n1Gq10rbElFo7bS8uLsbJyanR8t69e1NYWNhVuyV0U+JIVTAbQ4cO5bPPPiM+Ph6oa1Xj4OCgnHKr\nVCpWrlzJkCFDGq1bWVnJ+vXrlaRcXFzc5BHoxYsXee+995ROuPXbDQgIaHa/6juq3k6SJKOq9KdP\nn+bSpUsMGDCANWvWtHHUwr1GJFXBbHh7e7N582bl9caNG1m4cCHe3t6trqvVatm6davyevXq1U22\n4cjNzWX06NGsWrWqzfvl7OxMQUFBo+VZWVlK40mAcePGtWu7wr1JJFXhrouMjOTQoUNNvld/t72h\n+iPW248eKyoqyMnJ6fRe9IMHDyYvL4+SkhKlGHlpaSmpqaldWqhZ6J5EUhXuuunTpzN9+vRGy2Ni\nYvDy8mqyH1FRURFZWVnKvFArKyu0Wi39+vVTpkY1dcquUqkwGAzo9Xqqq6vR6/WUl5eTlZVFZmYm\nAwYMaLSOpaUlU6dOZdu2bbz44ouo1Wq2bdvG5MmTlUsTglBPJFXBLNXU1PD5558zY8YMo57v9Zyc\nnPj4449b3EZTp/+DBg3i0KFDvPbaa6jVarRaLT179sTV1ZX+/fvj4eHBpUuXGq03b9489u3bx8aN\nGwGYOHGi0n1TEBoSSVUwO7W1tezcuZNRo0YRFRXFgw8+2Gmn2e7u7krXzOY0lVRVKhVz585l7ty5\nnbIfwr1LJFXBbEiSRGJiImFhYXh5ebF8+XIKCgrYsmULsbGxzJgxg379+t3t3RSEFomkKpiFtLQ0\n3nnnHdzd3Vm+fDk+Pj4AuLm58dZbb/HTTz+xc+dOamtrefvtt1vdXn1HUEtLS+X5/LYy1TrCvUl0\nUxXMgiRJVFRU0LNnzxY/17APuyCYI5FUBUEQOpF4TFUQBKETiaQqCILQiURSFQRB6EQiqQqC8Epw\nPQAAAAlJREFUIHSi/we3w/x/5vSFJwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f2c4fc6c2b0>"
]
}
],
"prompt_number": 61
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc74c.. \uc5ed\uc2dc \uc774\ub807\uac8c \ubcf4\ub2c8\uae4c \uac15\ub0a8, \uc11c\ucd08\ub294 \ub300\ub193\uace0 \ucc28\uc774\uac00 \ub108\ubb34 \ub9ce\uc774 \ub09c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgt.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" <th>BMK</th>\n",
" <th>BgIdx</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ub0a8\uad6c</td>\n",
" <td> 39.50</td>\n",
" <td> 569499</td>\n",
" <td> 14417.696203</td>\n",
" <td> 37.517236</td>\n",
" <td> 127.047325</td>\n",
" <td> 20</td>\n",
" <td> 10</td>\n",
" <td> 9</td>\n",
" <td> 12</td>\n",
" <td> 42</td>\n",
" <td> 4.666667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ucd08\uad6c</td>\n",
" <td> 47.04</td>\n",
" <td> 431131</td>\n",
" <td> 9165.199830</td>\n",
" <td> 37.483712</td>\n",
" <td> 127.032411</td>\n",
" <td> 10</td>\n",
" <td> 7</td>\n",
" <td> 6</td>\n",
" <td> 7</td>\n",
" <td> 24</td>\n",
" <td> 4.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc885\ub85c\uad6c</td>\n",
" <td> 23.90</td>\n",
" <td> 177543</td>\n",
" <td> 7428.577406</td>\n",
" <td> 37.572950</td>\n",
" <td> 126.979358</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 6</td>\n",
" <td> 6</td>\n",
" <td> 13</td>\n",
" <td> 2.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \ud64d\ucc9c\uad70</td>\n",
" <td> 1817.94</td>\n",
" <td> 70264</td>\n",
" <td> 38.650340</td>\n",
" <td> 37.696952</td>\n",
" <td> 127.888683</td>\n",
" <td> 2</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 2</td>\n",
" <td> 2.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ub300\ubb38\uad6c</td>\n",
" <td> 17.60</td>\n",
" <td> 336649</td>\n",
" <td> 19127.784091</td>\n",
" <td> 37.579116</td>\n",
" <td> 126.936779</td>\n",
" <td> 3</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 4</td>\n",
" <td> 9</td>\n",
" <td> 1.800000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 62,
"text": [
" d1 d2 area population density lat \\\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 39.50 569499 14417.696203 37.517236 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 47.04 431131 9165.199830 37.483712 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 23.90 177543 7428.577406 37.572950 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 \uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 1817.94 70264 38.650340 37.696952 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 17.60 336649 19127.784091 37.579116 \n",
"\n",
" lon B K L M BMK BgIdx \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 127.047325 20 10 9 12 42 4.666667 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 127.032411 10 7 6 7 24 4.000000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 126.979358 2 5 6 6 13 2.166667 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 127.888683 2 0 1 0 2 2.000000 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 126.936779 3 2 5 4 9 1.800000 "
]
}
],
"prompt_number": 62
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## \uc774\uc81c \uc9c0\ub3c4\uc5d0 \ud45c\uc2dc\ud574\ubcf4\uc790 "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ubbf8\ub9ac \ub514\uc790\uc778\ud574 \ub193\uc740 \ube14\ub85d\ubaa8\uc591 \uc9c0\ub3c4\uc5d0\uc11c \uc88c\ud45c\ub97c \uacc4\uc0b0\ud574\uc11c \uc606\uc5d0 \ubd99\uc778\ub2e4. \uc9c0\uba85\uc774 \uae38\uba74 \ube14\ub85d\ubaa8\uc591 \uc9c0\ub3c4 \ub9cc\ub4e4 \ub54c \ubc88\uac70\ub85c\uc6b0\ubbc0\ub85c \uc9e7\uc740 \uc774\ub984\uc73c\ub85c \ub9e4\uce58\ud55c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def short_distr(name):\n",
" wide, narrow = name.split()\n",
" if narrow.endswith('\uad6c'):\n",
" return wide[:2] + (narrow[:-1] if len(narrow) > 2 else narrow)\n",
" elif narrow == '\uace0\uc131\uad70': # \uace0\uc131\uad70\uc740 \uac15\uc6d0\ub3c4, \uacbd\uc0c1\ub0a8\ub3c4\uc5d0 \uc788\ub2e4.\n",
" return '\uace0\uc131({})'.format({'\uac15\uc6d0\ub3c4': '\uac15\uc6d0', '\uacbd\uc0c1\ub0a8\ub3c4': '\uacbd\ub0a8'}[wide])\n",
" else:\n",
" return narrow[:-1]\n",
"\n",
"bgt['shortname'] = list(map(short_distr, bgt.index))\n",
"bgt.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" <th>BMK</th>\n",
" <th>BgIdx</th>\n",
" <th>shortname</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ub0a8\uad6c</td>\n",
" <td> 39.50</td>\n",
" <td> 569499</td>\n",
" <td> 14417.696203</td>\n",
" <td> 37.517236</td>\n",
" <td> 127.047325</td>\n",
" <td> 20</td>\n",
" <td> 10</td>\n",
" <td> 9</td>\n",
" <td> 12</td>\n",
" <td> 42</td>\n",
" <td> 4.666667</td>\n",
" <td> \uc11c\uc6b8\uac15\ub0a8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ucd08\uad6c</td>\n",
" <td> 47.04</td>\n",
" <td> 431131</td>\n",
" <td> 9165.199830</td>\n",
" <td> 37.483712</td>\n",
" <td> 127.032411</td>\n",
" <td> 10</td>\n",
" <td> 7</td>\n",
" <td> 6</td>\n",
" <td> 7</td>\n",
" <td> 24</td>\n",
" <td> 4.000000</td>\n",
" <td> \uc11c\uc6b8\uc11c\ucd08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc885\ub85c\uad6c</td>\n",
" <td> 23.90</td>\n",
" <td> 177543</td>\n",
" <td> 7428.577406</td>\n",
" <td> 37.572950</td>\n",
" <td> 126.979358</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 6</td>\n",
" <td> 6</td>\n",
" <td> 13</td>\n",
" <td> 2.166667</td>\n",
" <td> \uc11c\uc6b8\uc885\ub85c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \ud64d\ucc9c\uad70</td>\n",
" <td> 1817.94</td>\n",
" <td> 70264</td>\n",
" <td> 38.650340</td>\n",
" <td> 37.696952</td>\n",
" <td> 127.888683</td>\n",
" <td> 2</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 2</td>\n",
" <td> 2.000000</td>\n",
" <td> \ud64d\ucc9c</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ub300\ubb38\uad6c</td>\n",
" <td> 17.60</td>\n",
" <td> 336649</td>\n",
" <td> 19127.784091</td>\n",
" <td> 37.579116</td>\n",
" <td> 126.936779</td>\n",
" <td> 3</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 4</td>\n",
" <td> 9</td>\n",
" <td> 1.800000</td>\n",
" <td> \uc11c\uc6b8\uc11c\ub300\ubb38</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 63,
"text": [
" d1 d2 area population density lat \\\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 39.50 569499 14417.696203 37.517236 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 47.04 431131 9165.199830 37.483712 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 23.90 177543 7428.577406 37.572950 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 \uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 1817.94 70264 38.650340 37.696952 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 17.60 336649 19127.784091 37.579116 \n",
"\n",
" lon B K L M BMK BgIdx shortname \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 127.047325 20 10 9 12 42 4.666667 \uc11c\uc6b8\uac15\ub0a8 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 127.032411 10 7 6 7 24 4.000000 \uc11c\uc6b8\uc11c\ucd08 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 126.979358 2 5 6 6 13 2.166667 \uc11c\uc6b8\uc885\ub85c \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 127.888683 2 0 1 0 2 2.000000 \ud64d\ucc9c \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 126.936779 3 2 5 4 9 1.800000 \uc11c\uc6b8\uc11c\ub300\ubb38 "
]
}
],
"prompt_number": 63
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ube14\ub85d \uc9c0\ub3c4 \ub370\uc774\ud130 \uc77d\uc5b4\uc628\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"blockpositions = pd.read_csv('../../../../../p/tiny/2014-12/burgerindex/blockmap-positions.csv', names=range(15))\n",
"blockpositions.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" <th>13</th>\n",
" <th>14</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> \ucca0\uc6d0</td>\n",
" <td> \ud654\ucc9c</td>\n",
" <td> \uc591\uad6c</td>\n",
" <td> \uace0\uc131(\uac15\uc6d0)</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> \uc11c\uc6b8\ub3c4\ubd09</td>\n",
" <td> \uc11c\uc6b8\ub178\uc6d0</td>\n",
" <td> \uc5f0\ucc9c</td>\n",
" <td> \ud3ec\ucc9c</td>\n",
" <td> \uc18d\ucd08</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> \ud30c\uc8fc</td>\n",
" <td> \uace0\uc591</td>\n",
" <td> \uc11c\uc6b8\uac15\ubd81</td>\n",
" <td> \uc11c\uc6b8\uc131\ubd81</td>\n",
" <td> \ub3d9\ub450\ucc9c</td>\n",
" <td> \uc591\uc8fc</td>\n",
" <td> \uc778\uc81c</td>\n",
" <td> \uc591\uc591</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> NaN</td>\n",
" <td> \uac15\ud654</td>\n",
" <td> \uae40\ud3ec</td>\n",
" <td> \uad11\uba85</td>\n",
" <td> \uc11c\uc6b8\uc740\ud3c9</td>\n",
" <td> \uc11c\uc6b8\uc11c\ub300\ubb38</td>\n",
" <td> \uc11c\uc6b8\uc885\ub85c</td>\n",
" <td> \uc758\uc815\ubd80</td>\n",
" <td> \ub0a8\uc591\uc8fc</td>\n",
" <td> \uac00\ud3c9</td>\n",
" <td> \ucd98\ucc9c</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> NaN</td>\n",
" <td> \uc778\ucc9c\uc11c\uad6c</td>\n",
" <td> \ubd80\ucc9c</td>\n",
" <td> \uc548\uc591</td>\n",
" <td> \uc11c\uc6b8\uac15\uc11c</td>\n",
" <td> \uc11c\uc6b8\ub9c8\ud3ec</td>\n",
" <td> \uc11c\uc6b8\uc911\uad6c</td>\n",
" <td> \uc11c\uc6b8\ub3d9\ub300\ubb38</td>\n",
" <td> \uc11c\uc6b8\uc911\ub791</td>\n",
" <td> \uad6c\ub9ac</td>\n",
" <td> \ud64d\ucc9c</td>\n",
" <td> \uac15\ub989</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 68,
"text": [
" 0 1 2 3 4 5 6 7 8 9 10 11 12 \\\n",
"0 NaN NaN NaN NaN NaN NaN \ucca0\uc6d0 \ud654\ucc9c \uc591\uad6c \uace0\uc131(\uac15\uc6d0) NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN \uc11c\uc6b8\ub3c4\ubd09 \uc11c\uc6b8\ub178\uc6d0 \uc5f0\ucc9c \ud3ec\ucc9c \uc18d\ucd08 NaN NaN NaN \n",
"2 NaN NaN NaN \ud30c\uc8fc \uace0\uc591 \uc11c\uc6b8\uac15\ubd81 \uc11c\uc6b8\uc131\ubd81 \ub3d9\ub450\ucc9c \uc591\uc8fc \uc778\uc81c \uc591\uc591 NaN NaN \n",
"3 NaN \uac15\ud654 \uae40\ud3ec \uad11\uba85 \uc11c\uc6b8\uc740\ud3c9 \uc11c\uc6b8\uc11c\ub300\ubb38 \uc11c\uc6b8\uc885\ub85c \uc758\uc815\ubd80 \ub0a8\uc591\uc8fc \uac00\ud3c9 \ucd98\ucc9c NaN NaN \n",
"4 NaN \uc778\ucc9c\uc11c\uad6c \ubd80\ucc9c \uc548\uc591 \uc11c\uc6b8\uac15\uc11c \uc11c\uc6b8\ub9c8\ud3ec \uc11c\uc6b8\uc911\uad6c \uc11c\uc6b8\ub3d9\ub300\ubb38 \uc11c\uc6b8\uc911\ub791 \uad6c\ub9ac \ud64d\ucc9c \uac15\ub989 NaN \n",
"\n",
" 13 14 \n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN "
]
}
],
"prompt_number": 68
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"x, y \uc88c\ud45c \ud14c\uc774\ube14\ub85c \ubcc0\ud658\ud574\uc11c \ubc84\uac70 \ub370\uc774\ud130\ub791 \ud569\uce5c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"flatrows = []\n",
"for y, colcities in blockpositions.iterrows():\n",
" for x, city in colcities.iteritems():\n",
" if isinstance(city, str):\n",
" flatrows.append((x, y, city))\n",
"\n",
"blockpositions_tbl = pd.DataFrame(flatrows, columns=('x', 'y', 'city')).set_index('city').sort_index()\n",
"bgtb = pd.merge(bgt, blockpositions_tbl, how='left', left_on='shortname', right_index=True)\n",
"bgtb.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" <th>BMK</th>\n",
" <th>BgIdx</th>\n",
" <th>shortname</th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uac15\ub0a8\uad6c</td>\n",
" <td> 39.50</td>\n",
" <td> 569499</td>\n",
" <td> 14417.696203</td>\n",
" <td> 37.517236</td>\n",
" <td> 127.047325</td>\n",
" <td> 20</td>\n",
" <td> 10</td>\n",
" <td> 9</td>\n",
" <td> 12</td>\n",
" <td> 42</td>\n",
" <td> 4.666667</td>\n",
" <td> \uc11c\uc6b8\uac15\ub0a8</td>\n",
" <td> 6</td>\n",
" <td> 7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ucd08\uad6c</td>\n",
" <td> 47.04</td>\n",
" <td> 431131</td>\n",
" <td> 9165.199830</td>\n",
" <td> 37.483712</td>\n",
" <td> 127.032411</td>\n",
" <td> 10</td>\n",
" <td> 7</td>\n",
" <td> 6</td>\n",
" <td> 7</td>\n",
" <td> 24</td>\n",
" <td> 4.000000</td>\n",
" <td> \uc11c\uc6b8\uc11c\ucd08</td>\n",
" <td> 6</td>\n",
" <td> 6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc885\ub85c\uad6c</td>\n",
" <td> 23.90</td>\n",
" <td> 177543</td>\n",
" <td> 7428.577406</td>\n",
" <td> 37.572950</td>\n",
" <td> 126.979358</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 6</td>\n",
" <td> 6</td>\n",
" <td> 13</td>\n",
" <td> 2.166667</td>\n",
" <td> \uc11c\uc6b8\uc885\ub85c</td>\n",
" <td> 6</td>\n",
" <td> 3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70</th>\n",
" <td> \uac15\uc6d0\ub3c4</td>\n",
" <td> \ud64d\ucc9c\uad70</td>\n",
" <td> 1817.94</td>\n",
" <td> 70264</td>\n",
" <td> 38.650340</td>\n",
" <td> 37.696952</td>\n",
" <td> 127.888683</td>\n",
" <td> 2</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 2</td>\n",
" <td> 2.000000</td>\n",
" <td> \ud64d\ucc9c</td>\n",
" <td> 10</td>\n",
" <td> 4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c</th>\n",
" <td> \uc11c\uc6b8\ud2b9\ubcc4\uc2dc</td>\n",
" <td> \uc11c\ub300\ubb38\uad6c</td>\n",
" <td> 17.60</td>\n",
" <td> 336649</td>\n",
" <td> 19127.784091</td>\n",
" <td> 37.579116</td>\n",
" <td> 126.936779</td>\n",
" <td> 3</td>\n",
" <td> 2</td>\n",
" <td> 5</td>\n",
" <td> 4</td>\n",
" <td> 9</td>\n",
" <td> 1.800000</td>\n",
" <td> \uc11c\uc6b8\uc11c\ub300\ubb38</td>\n",
" <td> 5</td>\n",
" <td> 3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 69,
"text": [
" d1 d2 area population density lat \\\n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 39.50 569499 14417.696203 37.517236 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 47.04 431131 9165.199830 37.483712 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 23.90 177543 7428.577406 37.572950 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 \uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 1817.94 70264 38.650340 37.696952 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c \uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 17.60 336649 19127.784091 37.579116 \n",
"\n",
" lon B K L M BMK BgIdx shortname x y \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uac15\ub0a8\uad6c 127.047325 20 10 9 12 42 4.666667 \uc11c\uc6b8\uac15\ub0a8 6 7 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ucd08\uad6c 127.032411 10 7 6 7 24 4.000000 \uc11c\uc6b8\uc11c\ucd08 6 6 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc885\ub85c\uad6c 126.979358 2 5 6 6 13 2.166667 \uc11c\uc6b8\uc885\ub85c 6 3 \n",
"\uac15\uc6d0\ub3c4 \ud64d\ucc9c\uad70 127.888683 2 0 1 0 2 2.000000 \ud64d\ucc9c 10 4 \n",
"\uc11c\uc6b8\ud2b9\ubcc4\uc2dc \uc11c\ub300\ubb38\uad6c 126.936779 3 2 5 4 9 1.800000 \uc11c\uc6b8\uc11c\ub300\ubb38 5 3 "
]
}
],
"prompt_number": 69
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\ud639\uc2dc \uc704\uce58\uac00 \ud560\ub2f9\ub418\uc9c0 \uc54a\uc740 \uacf3\uc774 \uc788\ub294\uc9c0 \ud655\uc778\ud55c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgtb[bgtb['x'].apply(np.isnan)]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>d1</th>\n",
" <th>d2</th>\n",
" <th>area</th>\n",
" <th>population</th>\n",
" <th>density</th>\n",
" <th>lat</th>\n",
" <th>lon</th>\n",
" <th>B</th>\n",
" <th>K</th>\n",
" <th>L</th>\n",
" <th>M</th>\n",
" <th>BMK</th>\n",
" <th>BgIdx</th>\n",
" <th>shortname</th>\n",
" <th>x</th>\n",
" <th>y</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 70,
"text": [
"Empty DataFrame\n",
"Columns: [d1, d2, area, population, density, lat, lon, B, K, L, M, BMK, BgIdx, shortname, x, y]\n",
"Index: []"
]
}
],
"prompt_number": 70
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc5c6\ub2e4. \ubaa8\ub4e0 \uc9c0\uc5ed\uc774 \ub2e4 \uc704\uce58\uac00 \uc7a1\ud614\uc73c\ub2c8 \uc774\uc81c \uadf8\ub9bc\uc744 \uadf8\ub9b0\ub2e4!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from matplotlib import rcParams\n",
"from matplotlib import cm, colors, _cm\n",
"rcParams['font.family'] = 'NanumBarunGothic'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 71
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"BgIdx\uac00 NaN\uc774\uba74 \uc0c9\uc744 \uc81c\ub300\ub85c \uce60\ud558\uae30 \ud798\ub4e4\uae30 \ub54c\ubb38\uc5d0, \ub86f\ub370\ub9ac\uc544\uac00 \uc5c6\ub294 \uacf3\uc740 \uadf8\ub0e5 0\uc73c\ub85c \ucc98\ub9ac\ud55c\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgtb['BgIdx'] = bgtb['BgIdx'].fillna(0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 72
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc2dc\ub3c4\uac04 \uacbd\uacc4 \uadf8\ub9bc \ub370\uc774\ud130 (\uc5f4\uc2ec\ud788) \ub9cc\ub4e0\ub2e4."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"BORDER_LINES = [\n",
" [(3, 2), (5, 2), (5, 3), (9, 3), (9, 1)], # \uc778\ucc9c\n",
" [(2, 5), (3, 5), (3, 4), (8, 4), (8, 7), (7, 7), (7, 9), (4, 9), (4, 7), (1, 7)], # \uc11c\uc6b8\n",
" [(1, 6), (1, 9), (3, 9), (3, 10), (8, 10), (8, 9),\n",
" (9, 9), (9, 8), (10, 8), (10, 5), (9, 5), (9, 3)], # \uacbd\uae30\ub3c4\n",
" [(9, 12), (9, 10), (8, 10)], # \uac15\uc6d0\ub3c4\n",
" [(10, 5), (11, 5), (11, 4), (12, 4), (12, 5), (13, 5),\n",
" (13, 4), (14, 4), (14, 2)], # \ucda9\uccad\ub0a8\ub3c4\n",
" [(11, 5), (12, 5), (12, 6), (15, 6), (15, 7), (13, 7),\n",
" (13, 8), (11, 8), (11, 9), (10, 9), (10, 8)], # \ucda9\uccad\ubd81\ub3c4\n",
" [(14, 4), (15, 4), (15, 6)], # \ub300\uc804\uc2dc\n",
" [(14, 7), (14, 9), (13, 9), (13, 11), (13, 13)], # \uacbd\uc0c1\ubd81\ub3c4\n",
" [(14, 8), (16, 8), (16, 10), (15, 10),\n",
" (15, 11), (14, 11), (14, 12), (13, 12)], # \ub300\uad6c\uc2dc\n",
" [(15, 11), (16, 11), (16, 13)], # \uc6b8\uc0b0\uc2dc\n",
" [(17, 1), (17, 3), (18, 3), (18, 6), (15, 6)], # \uc804\ub77c\ubd81\ub3c4\n",
" [(19, 2), (19, 4), (21, 4), (21, 3), (22, 3), (22, 2), (19, 2)], # \uad11\uc8fc\uc2dc\n",
" [(18, 5), (20, 5), (20, 6)], # \uc804\ub77c\ub0a8\ub3c4\n",
" [(16, 9), (18, 9), (18, 8), (19, 8), (19, 9), (20, 9), (20, 10)], # \ubd80\uc0b0\uc2dc\n",
"]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 73
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def draw_blockcolormap(tbl, datacol, vmin, vmax, whitelabelmin, cmapname, gamma, datalabel, dataticks):\n",
" cmap = colors.LinearSegmentedColormap(cmapname + 'custom',\n",
" getattr(_cm, '_{}_data'.format(cmapname)), gamma=gamma)\n",
" cmap.set_bad('white', 1.)\n",
"\n",
" mapdata = tbl.pivot(index='y', columns='x', values=datacol)\n",
" masked_mapdata = np.ma.masked_where(np.isnan(mapdata), mapdata)\n",
"\n",
" plt.figure(figsize=(9, 16))\n",
" plt.pcolor(masked_mapdata, vmin=vmin, vmax=vmax, cmap=cmap,\n",
" edgecolor='#aaaaaa', linewidth=0.5)\n",
"\n",
" # \uc9c0\uc5ed \uc774\ub984 \ud45c\uc2dc\n",
" for idx, row in tbl.iterrows():\n",
" annocolor = 'white' if row[datacol] > whitelabelmin else 'black'\n",
"\n",
" # \uad11\uc5ed\uc2dc\ub294 \uad6c \uc774\ub984\uc774 \uacb9\uce58\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc544\uc11c \uc2dc\ub2e8\uc704 \uc774\ub984\ub3c4 \uac19\uc774 \ud45c\uc2dc\ud55c\ub2e4. (\uc911\uad6c, \uc11c\uad6c)\n",
" if row['d1'].endswith('\uc2dc') and not row['d1'].startswith('\uc138\uc885'):\n",
" dispname = '{}\\n{}'.format(row['d1'][:2], row['d2'][:-1])\n",
" if len(row['d2']) <= 2:\n",
" dispname += row['d2'][-1]\n",
" else:\n",
" dispname = row['d2'][:-1]\n",
"\n",
" # \uc11c\ub300\ubb38\uad6c, \uc11c\uadc0\ud3ec\uc2dc \uac19\uc774 \uc774\ub984\uc774 3\uc790 \uc774\uc0c1\uc778 \uacbd\uc6b0\uc5d0 \uc791\uc740 \uae00\uc790\ub85c \ud45c\uc2dc\ud55c\ub2e4.\n",
" if len(dispname.splitlines()[-1]) >= 3:\n",
" fontsize, linespacing = 12, 1.2\n",
" else:\n",
" fontsize, linespacing = 14, 1.03\n",
"\n",
" plt.annotate(dispname, (row['x']+0.5, row['y']+0.5), weight='bold',\n",
" fontsize=fontsize, ha='center', va='center', color=annocolor,\n",
" linespacing=linespacing)\n",
"\n",
" # \uc2dc\ub3c4 \uacbd\uacc4 \uadf8\ub9b0\ub2e4.\n",
" for path in BORDER_LINES:\n",
" ys, xs = zip(*path)\n",
" plt.plot(xs, ys, c='black', lw=2)\n",
"\n",
" plt.gca().invert_yaxis()\n",
" plt.gca().set_aspect(1)\n",
"\n",
" plt.axis('off')\n",
" \n",
" cb = plt.colorbar(shrink=.1, aspect=10)\n",
" cb.set_label(datalabel)\n",
" cb.set_ticks(dataticks)\n",
"\n",
" plt.tight_layout()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 74
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc790, \uc774\uc81c \uae34\uc7a5\ub418\ub294 \ubc84\uac70\uc9c0\uc218 \uc9c0\ub3c4 \uadf8\ub9ac\ub294 \uc21c\uac04!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"draw_blockcolormap(bgtb, 'BgIdx', 0, 3, 1.42, 'Blues', 0.75, '\ubc84\uac70\uc9c0\uc218', np.arange(0, 3.1, 0.5))\n",
"plt.savefig('bmap-burgerindex.pdf')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAlsAAAQvCAYAAAAgpiucAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nABiIsAUAAGAgwhYAAICBCFsAAAAG+n+zVTyj7mHYZwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f2c5a186ef0>"
]
}
],
"prompt_number": 75
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uadf8\ub838\ub2e4! \uc81c\ubc95 \uba4b\uc9c0\uac8c \ub098\uc628\ub2e4. \uc774\uc81c \ub530\ub85c \ub530\ub85c \ubcf4\uc790. \uc778\uad6c \ub300\ube44 \ub86f\ub370\ub9ac\uc544 \uc218\ub294?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgtb['Lp10T'] = bgtb['L'] / bgtb['population'] * 10000\n",
"draw_blockcolormap(bgtb, 'Lp10T', 0, 1, 0.45, 'YlGn', 1, '1\ub9cc\uba85\ub2f9 \ub86f\ub370\ub9ac\uc544 \uc810\ud3ec\uc218', np.arange(0, 1.1, 0.2))\n",
"plt.savefig('bmap-lotteria.pdf')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAlsAAAQvCAYAAAAgpiucAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ne1U2AAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x7f2c5a1752e8>"
]
}
],
"prompt_number": 76
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\uc778\uad6c \ub300\ube44 \ubc84\uac70\ud0b9+\ub9e5\ub3c4\ub0a0\ub4dc+KFC \uc218\ub294?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"bgtb['BMKp10T'] = bgtb['BMK'] / bgtb['population'] * 10000\n",
"draw_blockcolormap(bgtb, 'BMKp10T', 0, 1, 0.45, 'YlGn', 1, '1\ub9cc\uba85\ub2f9 \ubc84\uac70\ud0b9+\ub9e5\ub3c4\ub0a0\ub4dc+KFC \uc810\ud3ec\uc218', np.arange(0, 1.1, 0.2))\n",
"plt.savefig('bmap-bmkshops.pdf')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAlsAAAQvCAYAAAAgpiucAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment