Commit @652ba1e63145303316d73ab9fdf8fbd6e2c41e7b

안효원 2022-05-30

add 20220530

@652ba1e63145303316d73ab9fdf8fbd6e2c41e7b

90cfcaa

652ba1e

20220523/pyplot.ipynb

--- 20220523/pyplot.ipynb

+++ 20220523/pyplot.ipynb


    ],
    "source": [
     "plt.figure(figsize=(10, 6))\n",
-    "box1 = plt.boxplot(s1, positions=[1])\n",
-    "box2 = plt.boxplot(s2, positions=[2])\n",
-    "box3 = plt.boxplot(s3, positions=[3])\n",
+    "box1 = plt.boxplot(s1, positions=[1], notch=True, patch_ari)\n",
+    "box2 = plt.boxplot(s2, positions=[2], notch=True, )\n",
+    "box3 = plt.boxplot(s3, positions=[3], notch=True, )\n",
     "plt.grid()\n",
     "plt.show()"
    ]

652ba1e

20220530/.ipynb_checkpoints/cctv-checkpoint.ipynb (added)

+++ 20220530/.ipynb_checkpoints/cctv-checkpoint.ipynb

...	...	@@ -0,0 +1,1572 @@
	1	+{
	2	+ "cells": [
	3	+ {
	4	+ "cell_type": "code",
	5	+ "execution_count": 16,
	6	+ "id": "55e4cb48",
	7	+ "metadata": {},
	8	+ "outputs": [],
	9	+ "source": [
	10	+ "import pandas as pd\n",
	11	+ "import numpy as np\n",
	12	+ "import matplotlib.pyplot as plt"
	13	+ ]
	14	+ },
	15	+ {
	16	+ "cell_type": "code",
	17	+ "execution_count": 17,
	18	+ "id": "f9691b90",
	19	+ "metadata": {
	20	+ "scrolled": true
	21	+ },
	22	+ "outputs": [
	23	+ {
	24	+ "data": {
	25	+ "text/html": [
	26	+ "<div>\n",
	27	+ "<style scoped>\n",
	28	+ " .dataframe tbody tr th:only-of-type {\n",
	29	+ " vertical-align: middle;\n",
	30	+ " }\n",
	31	+ "\n",
	32	+ " .dataframe tbody tr th {\n",
	33	+ " vertical-align: top;\n",
	34	+ " }\n",
	35	+ "\n",
	36	+ " .dataframe thead th {\n",
	37	+ " text-align: right;\n",
	38	+ " }\n",
	39	+ "</style>\n",
	40	+ "<table border=\"1\" class=\"dataframe\">\n",
	41	+ " <thead>\n",
	42	+ " <tr style=\"text-align: right;\">\n",
	43	+ " <th></th>\n",
	44	+ " <th>총계</th>\n",
	45	+ " <th>2012년 이전</th>\n",
	46	+ " <th>2012년</th>\n",
	47	+ " <th>2013년</th>\n",
	48	+ " <th>2014년</th>\n",
	49	+ " <th>2015년</th>\n",
	50	+ " <th>2016년</th>\n",
	51	+ " <th>2017년</th>\n",
	52	+ " <th>2018년</th>\n",
	53	+ " <th>2019년</th>\n",
	54	+ " <th>2020년</th>\n",
	55	+ " <th>2021년</th>\n",
	56	+ " </tr>\n",
	57	+ " <tr>\n",
	58	+ " <th>구분</th>\n",
	59	+ " <th></th>\n",
	60	+ " <th></th>\n",
	61	+ " <th></th>\n",
	62	+ " <th></th>\n",
	63	+ " <th></th>\n",
	64	+ " <th></th>\n",
	65	+ " <th></th>\n",
	66	+ " <th></th>\n",
	67	+ " <th></th>\n",
	68	+ " <th></th>\n",
	69	+ " <th></th>\n",
	70	+ " <th></th>\n",
	71	+ " </tr>\n",
	72	+ " </thead>\n",
	73	+ " <tbody>\n",
	74	+ " <tr>\n",
	75	+ " <th>계</th>\n",
	76	+ " <td>83,557</td>\n",
	77	+ " <td>4,812</td>\n",
	78	+ " <td>1,851</td>\n",
	79	+ " <td>3,434</td>\n",
	80	+ " <td>4,295</td>\n",
	81	+ " <td>6,840</td>\n",
	82	+ " <td>8,708</td>\n",
	83	+ " <td>11,572</td>\n",
	84	+ " <td>10,627</td>\n",
	85	+ " <td>12,267</td>\n",
	86	+ " <td>11,247</td>\n",
	87	+ " <td>7,904</td>\n",
	88	+ " </tr>\n",
	89	+ " <tr>\n",
	90	+ " <th>종로구</th>\n",
	91	+ " <td>1,715</td>\n",
	92	+ " <td>815</td>\n",
	93	+ " <td>NaN</td>\n",
	94	+ " <td>NaN</td>\n",
	95	+ " <td>195</td>\n",
	96	+ " <td>150</td>\n",
	97	+ " <td>0</td>\n",
	98	+ " <td>261</td>\n",
	99	+ " <td>85</td>\n",
	100	+ " <td>9</td>\n",
	101	+ " <td>200</td>\n",
	102	+ " <td>0</td>\n",
	103	+ " </tr>\n",
	104	+ " <tr>\n",
	105	+ " <th>중구</th>\n",
	106	+ " <td>2,447</td>\n",
	107	+ " <td>16</td>\n",
	108	+ " <td>114</td>\n",
	109	+ " <td>87</td>\n",
	110	+ " <td>77</td>\n",
	111	+ " <td>236</td>\n",
	112	+ " <td>240</td>\n",
	113	+ " <td>372</td>\n",
	114	+ " <td>386</td>\n",
	115	+ " <td>155</td>\n",
	116	+ " <td>361</td>\n",
	117	+ " <td>403</td>\n",
	118	+ " </tr>\n",
	119	+ " <tr>\n",
	120	+ " <th>용산구</th>\n",
	121	+ " <td>2,611</td>\n",
	122	+ " <td>34</td>\n",
	123	+ " <td>71</td>\n",
	124	+ " <td>234</td>\n",
	125	+ " <td>125</td>\n",
	126	+ " <td>221</td>\n",
	127	+ " <td>298</td>\n",
	128	+ " <td>351</td>\n",
	129	+ " <td>125</td>\n",
	130	+ " <td>307</td>\n",
	131	+ " <td>617</td>\n",
	132	+ " <td>228</td>\n",
	133	+ " </tr>\n",
	134	+ " <tr>\n",
	135	+ " <th>성동구</th>\n",
	136	+ " <td>3,829</td>\n",
	137	+ " <td>163</td>\n",
	138	+ " <td>144</td>\n",
	139	+ " <td>208</td>\n",
	140	+ " <td>107</td>\n",
	141	+ " <td>325</td>\n",
	142	+ " <td>255</td>\n",
	143	+ " <td>967</td>\n",
	144	+ " <td>415</td>\n",
	145	+ " <td>490</td>\n",
	146	+ " <td>472</td>\n",
	147	+ " <td>283</td>\n",
	148	+ " </tr>\n",
	149	+ " </tbody>\n",
	150	+ "</table>\n",
	151	+ "</div>"
	152	+ ],
	153	+ "text/plain": [
	154	+ " 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	155	+ "구분 \n",
	156	+ "계 83,557 4,812 1,851 3,434 4,295 6,840 8,708 11,572 10,627 \n",
	157	+ "종로구 1,715 815 NaN NaN 195 150 0 261 85 \n",
	158	+ "중구 2,447 16 114 87 77 236 240 372 386 \n",
	159	+ "용산구 2,611 34 71 234 125 221 298 351 125 \n",
	160	+ "성동구 3,829 163 144 208 107 325 255 967 415 \n",
	161	+ "\n",
	162	+ " 2019년 2020년 2021년 \n",
	163	+ "구분 \n",
	164	+ "계 12,267 11,247 7,904 \n",
	165	+ "종로구 9 200 0 \n",
	166	+ "중구 155 361 403 \n",
	167	+ "용산구 307 617 228 \n",
	168	+ "성동구 490 472 283 "
	169	+ ]
	170	+ },
	171	+ "execution_count": 17,
	172	+ "metadata": {},
	173	+ "output_type": "execute_result"
	174	+ }
	175	+ ],
	176	+ "source": [
	177	+ "cctvData = pd.read_csv('./seoul_cctv_202112.csv', encoding='cp949', skiprows=1, index_col='구분')\n",
	178	+ "cctvData.head()"
	179	+ ]
	180	+ },
	181	+ {
	182	+ "cell_type": "code",
	183	+ "execution_count": 18,
	184	+ "id": "8184defd",
	185	+ "metadata": {
	186	+ "scrolled": true
	187	+ },
	188	+ "outputs": [
	189	+ {
	190	+ "data": {
	191	+ "text/html": [
	192	+ "<div>\n",
	193	+ "<style scoped>\n",
	194	+ " .dataframe tbody tr th:only-of-type {\n",
	195	+ " vertical-align: middle;\n",
	196	+ " }\n",
	197	+ "\n",
	198	+ " .dataframe tbody tr th {\n",
	199	+ " vertical-align: top;\n",
	200	+ " }\n",
	201	+ "\n",
	202	+ " .dataframe thead th {\n",
	203	+ " text-align: right;\n",
	204	+ " }\n",
	205	+ "</style>\n",
	206	+ "<table border=\"1\" class=\"dataframe\">\n",
	207	+ " <thead>\n",
	208	+ " <tr style=\"text-align: right;\">\n",
	209	+ " <th></th>\n",
	210	+ " <th>총계</th>\n",
	211	+ " <th>2012년 이전</th>\n",
	212	+ " <th>2012년</th>\n",
	213	+ " <th>2013년</th>\n",
	214	+ " <th>2014년</th>\n",
	215	+ " <th>2015년</th>\n",
	216	+ " <th>2016년</th>\n",
	217	+ " <th>2017년</th>\n",
	218	+ " <th>2018년</th>\n",
	219	+ " <th>2019년</th>\n",
	220	+ " <th>2020년</th>\n",
	221	+ " <th>2021년</th>\n",
	222	+ " </tr>\n",
	223	+ " <tr>\n",
	224	+ " <th>구분</th>\n",
	225	+ " <th></th>\n",
	226	+ " <th></th>\n",
	227	+ " <th></th>\n",
	228	+ " <th></th>\n",
	229	+ " <th></th>\n",
	230	+ " <th></th>\n",
	231	+ " <th></th>\n",
	232	+ " <th></th>\n",
	233	+ " <th></th>\n",
	234	+ " <th></th>\n",
	235	+ " <th></th>\n",
	236	+ " <th></th>\n",
	237	+ " </tr>\n",
	238	+ " </thead>\n",
	239	+ " <tbody>\n",
	240	+ " <tr>\n",
	241	+ " <th>종로구</th>\n",
	242	+ " <td>1,715</td>\n",
	243	+ " <td>815</td>\n",
	244	+ " <td>NaN</td>\n",
	245	+ " <td>NaN</td>\n",
	246	+ " <td>195</td>\n",
	247	+ " <td>150</td>\n",
	248	+ " <td>0</td>\n",
	249	+ " <td>261</td>\n",
	250	+ " <td>85</td>\n",
	251	+ " <td>9</td>\n",
	252	+ " <td>200</td>\n",
	253	+ " <td>0</td>\n",
	254	+ " </tr>\n",
	255	+ " <tr>\n",
	256	+ " <th>중구</th>\n",
	257	+ " <td>2,447</td>\n",
	258	+ " <td>16</td>\n",
	259	+ " <td>114</td>\n",
	260	+ " <td>87</td>\n",
	261	+ " <td>77</td>\n",
	262	+ " <td>236</td>\n",
	263	+ " <td>240</td>\n",
	264	+ " <td>372</td>\n",
	265	+ " <td>386</td>\n",
	266	+ " <td>155</td>\n",
	267	+ " <td>361</td>\n",
	268	+ " <td>403</td>\n",
	269	+ " </tr>\n",
	270	+ " <tr>\n",
	271	+ " <th>용산구</th>\n",
	272	+ " <td>2,611</td>\n",
	273	+ " <td>34</td>\n",
	274	+ " <td>71</td>\n",
	275	+ " <td>234</td>\n",
	276	+ " <td>125</td>\n",
	277	+ " <td>221</td>\n",
	278	+ " <td>298</td>\n",
	279	+ " <td>351</td>\n",
	280	+ " <td>125</td>\n",
	281	+ " <td>307</td>\n",
	282	+ " <td>617</td>\n",
	283	+ " <td>228</td>\n",
	284	+ " </tr>\n",
	285	+ " <tr>\n",
	286	+ " <th>성동구</th>\n",
	287	+ " <td>3,829</td>\n",
	288	+ " <td>163</td>\n",
	289	+ " <td>144</td>\n",
	290	+ " <td>208</td>\n",
	291	+ " <td>107</td>\n",
	292	+ " <td>325</td>\n",
	293	+ " <td>255</td>\n",
	294	+ " <td>967</td>\n",
	295	+ " <td>415</td>\n",
	296	+ " <td>490</td>\n",
	297	+ " <td>472</td>\n",
	298	+ " <td>283</td>\n",
	299	+ " </tr>\n",
	300	+ " <tr>\n",
	301	+ " <th>광진구</th>\n",
	302	+ " <td>3,211</td>\n",
	303	+ " <td>35</td>\n",
	304	+ " <td>57</td>\n",
	305	+ " <td>100</td>\n",
	306	+ " <td>187</td>\n",
	307	+ " <td>98</td>\n",
	308	+ " <td>52</td>\n",
	309	+ " <td>675</td>\n",
	310	+ " <td>465</td>\n",
	311	+ " <td>712</td>\n",
	312	+ " <td>175</td>\n",
	313	+ " <td>655</td>\n",
	314	+ " </tr>\n",
	315	+ " </tbody>\n",
	316	+ "</table>\n",
	317	+ "</div>"
	318	+ ],
	319	+ "text/plain": [
	320	+ " 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 2020년 \\\n",
	321	+ "구분 \n",
	322	+ "종로구 1,715 815 NaN NaN 195 150 0 261 85 9 200 \n",
	323	+ "중구 2,447 16 114 87 77 236 240 372 386 155 361 \n",
	324	+ "용산구 2,611 34 71 234 125 221 298 351 125 307 617 \n",
	325	+ "성동구 3,829 163 144 208 107 325 255 967 415 490 472 \n",
	326	+ "광진구 3,211 35 57 100 187 98 52 675 465 712 175 \n",
	327	+ "\n",
	328	+ " 2021년 \n",
	329	+ "구분 \n",
	330	+ "종로구 0 \n",
	331	+ "중구 403 \n",
	332	+ "용산구 228 \n",
	333	+ "성동구 283 \n",
	334	+ "광진구 655 "
	335	+ ]
	336	+ },
	337	+ "execution_count": 18,
	338	+ "metadata": {},
	339	+ "output_type": "execute_result"
	340	+ }
	341	+ ],
	342	+ "source": [
	343	+ "cctvData.drop('계', inplace=True)\n",
	344	+ "cctvData.head()"
	345	+ ]
	346	+ },
	347	+ {
	348	+ "cell_type": "code",
	349	+ "execution_count": 19,
	350	+ "id": "11fb1d65",
	351	+ "metadata": {},
	352	+ "outputs": [
	353	+ {
	354	+ "data": {
	355	+ "text/html": [
	356	+ "<div>\n",
	357	+ "<style scoped>\n",
	358	+ " .dataframe tbody tr th:only-of-type {\n",
	359	+ " vertical-align: middle;\n",
	360	+ " }\n",
	361	+ "\n",
	362	+ " .dataframe tbody tr th {\n",
	363	+ " vertical-align: top;\n",
	364	+ " }\n",
	365	+ "\n",
	366	+ " .dataframe thead th {\n",
	367	+ " text-align: right;\n",
	368	+ " }\n",
	369	+ "</style>\n",
	370	+ "<table border=\"1\" class=\"dataframe\">\n",
	371	+ " <thead>\n",
	372	+ " <tr style=\"text-align: right;\">\n",
	373	+ " <th></th>\n",
	374	+ " <th>구분</th>\n",
	375	+ " <th>총계</th>\n",
	376	+ " <th>2012년 이전</th>\n",
	377	+ " <th>2012년</th>\n",
	378	+ " <th>2013년</th>\n",
	379	+ " <th>2014년</th>\n",
	380	+ " <th>2015년</th>\n",
	381	+ " <th>2016년</th>\n",
	382	+ " <th>2017년</th>\n",
	383	+ " <th>2018년</th>\n",
	384	+ " <th>2019년</th>\n",
	385	+ " <th>2020년</th>\n",
	386	+ " <th>2021년</th>\n",
	387	+ " </tr>\n",
	388	+ " </thead>\n",
	389	+ " <tbody>\n",
	390	+ " <tr>\n",
	391	+ " <th>0</th>\n",
	392	+ " <td>종로구</td>\n",
	393	+ " <td>1,715</td>\n",
	394	+ " <td>815</td>\n",
	395	+ " <td>NaN</td>\n",
	396	+ " <td>NaN</td>\n",
	397	+ " <td>195</td>\n",
	398	+ " <td>150</td>\n",
	399	+ " <td>0</td>\n",
	400	+ " <td>261</td>\n",
	401	+ " <td>85</td>\n",
	402	+ " <td>9</td>\n",
	403	+ " <td>200</td>\n",
	404	+ " <td>0</td>\n",
	405	+ " </tr>\n",
	406	+ " <tr>\n",
	407	+ " <th>1</th>\n",
	408	+ " <td>중구</td>\n",
	409	+ " <td>2,447</td>\n",
	410	+ " <td>16</td>\n",
	411	+ " <td>114</td>\n",
	412	+ " <td>87</td>\n",
	413	+ " <td>77</td>\n",
	414	+ " <td>236</td>\n",
	415	+ " <td>240</td>\n",
	416	+ " <td>372</td>\n",
	417	+ " <td>386</td>\n",
	418	+ " <td>155</td>\n",
	419	+ " <td>361</td>\n",
	420	+ " <td>403</td>\n",
	421	+ " </tr>\n",
	422	+ " <tr>\n",
	423	+ " <th>2</th>\n",
	424	+ " <td>용산구</td>\n",
	425	+ " <td>2,611</td>\n",
	426	+ " <td>34</td>\n",
	427	+ " <td>71</td>\n",
	428	+ " <td>234</td>\n",
	429	+ " <td>125</td>\n",
	430	+ " <td>221</td>\n",
	431	+ " <td>298</td>\n",
	432	+ " <td>351</td>\n",
	433	+ " <td>125</td>\n",
	434	+ " <td>307</td>\n",
	435	+ " <td>617</td>\n",
	436	+ " <td>228</td>\n",
	437	+ " </tr>\n",
	438	+ " <tr>\n",
	439	+ " <th>3</th>\n",
	440	+ " <td>성동구</td>\n",
	441	+ " <td>3,829</td>\n",
	442	+ " <td>163</td>\n",
	443	+ " <td>144</td>\n",
	444	+ " <td>208</td>\n",
	445	+ " <td>107</td>\n",
	446	+ " <td>325</td>\n",
	447	+ " <td>255</td>\n",
	448	+ " <td>967</td>\n",
	449	+ " <td>415</td>\n",
	450	+ " <td>490</td>\n",
	451	+ " <td>472</td>\n",
	452	+ " <td>283</td>\n",
	453	+ " </tr>\n",
	454	+ " <tr>\n",
	455	+ " <th>4</th>\n",
	456	+ " <td>광진구</td>\n",
	457	+ " <td>3,211</td>\n",
	458	+ " <td>35</td>\n",
	459	+ " <td>57</td>\n",
	460	+ " <td>100</td>\n",
	461	+ " <td>187</td>\n",
	462	+ " <td>98</td>\n",
	463	+ " <td>52</td>\n",
	464	+ " <td>675</td>\n",
	465	+ " <td>465</td>\n",
	466	+ " <td>712</td>\n",
	467	+ " <td>175</td>\n",
	468	+ " <td>655</td>\n",
	469	+ " </tr>\n",
	470	+ " </tbody>\n",
	471	+ "</table>\n",
	472	+ "</div>"
	473	+ ],
	474	+ "text/plain": [
	475	+ " 구분 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 2020년 \\\n",
	476	+ "0 종로구 1,715 815 NaN NaN 195 150 0 261 85 9 200 \n",
	477	+ "1 중구 2,447 16 114 87 77 236 240 372 386 155 361 \n",
	478	+ "2 용산구 2,611 34 71 234 125 221 298 351 125 307 617 \n",
	479	+ "3 성동구 3,829 163 144 208 107 325 255 967 415 490 472 \n",
	480	+ "4 광진구 3,211 35 57 100 187 98 52 675 465 712 175 \n",
	481	+ "\n",
	482	+ " 2021년 \n",
	483	+ "0 0 \n",
	484	+ "1 403 \n",
	485	+ "2 228 \n",
	486	+ "3 283 \n",
	487	+ "4 655 "
	488	+ ]
	489	+ },
	490	+ "execution_count": 19,
	491	+ "metadata": {},
	492	+ "output_type": "execute_result"
	493	+ }
	494	+ ],
	495	+ "source": [
	496	+ "cctvData.reset_index(inplace=True)\n",
	497	+ "cctvData.head()"
	498	+ ]
	499	+ },
	500	+ {
	501	+ "cell_type": "code",
	502	+ "execution_count": 20,
	503	+ "id": "8fc76d77",
	504	+ "metadata": {},
	505	+ "outputs": [
	506	+ {
	507	+ "data": {
	508	+ "text/html": [
	509	+ "<div>\n",
	510	+ "<style scoped>\n",
	511	+ " .dataframe tbody tr th:only-of-type {\n",
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	520	+ " text-align: right;\n",
	521	+ " }\n",
	522	+ "</style>\n",
	523	+ "<table border=\"1\" class=\"dataframe\">\n",
	524	+ " <thead>\n",
	525	+ " <tr style=\"text-align: right;\">\n",
	526	+ " <th></th>\n",
	527	+ " <th>구별</th>\n",
	528	+ " <th>총계</th>\n",
	529	+ " <th>2012년 이전</th>\n",
	530	+ " <th>2012년</th>\n",
	531	+ " <th>2013년</th>\n",
	532	+ " <th>2014년</th>\n",
	533	+ " <th>2015년</th>\n",
	534	+ " <th>2016년</th>\n",
	535	+ " <th>2017년</th>\n",
	536	+ " <th>2018년</th>\n",
	537	+ " <th>2019년</th>\n",
	538	+ " <th>2020년</th>\n",
	539	+ " <th>2021년</th>\n",
	540	+ " </tr>\n",
	541	+ " </thead>\n",
	542	+ " <tbody>\n",
	543	+ " <tr>\n",
	544	+ " <th>0</th>\n",
	545	+ " <td>종로구</td>\n",
	546	+ " <td>1,715</td>\n",
	547	+ " <td>815</td>\n",
	548	+ " <td>NaN</td>\n",
	549	+ " <td>NaN</td>\n",
	550	+ " <td>195</td>\n",
	551	+ " <td>150</td>\n",
	552	+ " <td>0</td>\n",
	553	+ " <td>261</td>\n",
	554	+ " <td>85</td>\n",
	555	+ " <td>9</td>\n",
	556	+ " <td>200</td>\n",
	557	+ " <td>0</td>\n",
	558	+ " </tr>\n",
	559	+ " <tr>\n",
	560	+ " <th>1</th>\n",
	561	+ " <td>중구</td>\n",
	562	+ " <td>2,447</td>\n",
	563	+ " <td>16</td>\n",
	564	+ " <td>114</td>\n",
	565	+ " <td>87</td>\n",
	566	+ " <td>77</td>\n",
	567	+ " <td>236</td>\n",
	568	+ " <td>240</td>\n",
	569	+ " <td>372</td>\n",
	570	+ " <td>386</td>\n",
	571	+ " <td>155</td>\n",
	572	+ " <td>361</td>\n",
	573	+ " <td>403</td>\n",
	574	+ " </tr>\n",
	575	+ " <tr>\n",
	576	+ " <th>2</th>\n",
	577	+ " <td>용산구</td>\n",
	578	+ " <td>2,611</td>\n",
	579	+ " <td>34</td>\n",
	580	+ " <td>71</td>\n",
	581	+ " <td>234</td>\n",
	582	+ " <td>125</td>\n",
	583	+ " <td>221</td>\n",
	584	+ " <td>298</td>\n",
	585	+ " <td>351</td>\n",
	586	+ " <td>125</td>\n",
	587	+ " <td>307</td>\n",
	588	+ " <td>617</td>\n",
	589	+ " <td>228</td>\n",
	590	+ " </tr>\n",
	591	+ " <tr>\n",
	592	+ " <th>3</th>\n",
	593	+ " <td>성동구</td>\n",
	594	+ " <td>3,829</td>\n",
	595	+ " <td>163</td>\n",
	596	+ " <td>144</td>\n",
	597	+ " <td>208</td>\n",
	598	+ " <td>107</td>\n",
	599	+ " <td>325</td>\n",
	600	+ " <td>255</td>\n",
	601	+ " <td>967</td>\n",
	602	+ " <td>415</td>\n",
	603	+ " <td>490</td>\n",
	604	+ " <td>472</td>\n",
	605	+ " <td>283</td>\n",
	606	+ " </tr>\n",
	607	+ " <tr>\n",
	608	+ " <th>4</th>\n",
	609	+ " <td>광진구</td>\n",
	610	+ " <td>3,211</td>\n",
	611	+ " <td>35</td>\n",
	612	+ " <td>57</td>\n",
	613	+ " <td>100</td>\n",
	614	+ " <td>187</td>\n",
	615	+ " <td>98</td>\n",
	616	+ " <td>52</td>\n",
	617	+ " <td>675</td>\n",
	618	+ " <td>465</td>\n",
	619	+ " <td>712</td>\n",
	620	+ " <td>175</td>\n",
	621	+ " <td>655</td>\n",
	622	+ " </tr>\n",
	623	+ " </tbody>\n",
	624	+ "</table>\n",
	625	+ "</div>"
	626	+ ],
	627	+ "text/plain": [
	628	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 2020년 \\\n",
	629	+ "0 종로구 1,715 815 NaN NaN 195 150 0 261 85 9 200 \n",
	630	+ "1 중구 2,447 16 114 87 77 236 240 372 386 155 361 \n",
	631	+ "2 용산구 2,611 34 71 234 125 221 298 351 125 307 617 \n",
	632	+ "3 성동구 3,829 163 144 208 107 325 255 967 415 490 472 \n",
	633	+ "4 광진구 3,211 35 57 100 187 98 52 675 465 712 175 \n",
	634	+ "\n",
	635	+ " 2021년 \n",
	636	+ "0 0 \n",
	637	+ "1 403 \n",
	638	+ "2 228 \n",
	639	+ "3 283 \n",
	640	+ "4 655 "
	641	+ ]
	642	+ },
	643	+ "execution_count": 20,
	644	+ "metadata": {},
	645	+ "output_type": "execute_result"
	646	+ }
	647	+ ],
	648	+ "source": [
	649	+ "cctvData.rename(columns={'구분':'구별'}, inplace=True)\n",
	650	+ "cctvData.head()"
	651	+ ]
	652	+ },
	653	+ {
	654	+ "cell_type": "code",
	655	+ "execution_count": 21,
	656	+ "id": "f924974d",
	657	+ "metadata": {
	658	+ "scrolled": true
	659	+ },
	660	+ "outputs": [
	661	+ {
	662	+ "data": {
	663	+ "text/html": [
	664	+ "<div>\n",
	665	+ "<style scoped>\n",
	666	+ " .dataframe tbody tr th:only-of-type {\n",
	667	+ " vertical-align: middle;\n",
	668	+ " }\n",
	669	+ "\n",
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	671	+ " vertical-align: top;\n",
	672	+ " }\n",
	673	+ "\n",
	674	+ " .dataframe thead th {\n",
	675	+ " text-align: right;\n",
	676	+ " }\n",
	677	+ "</style>\n",
	678	+ "<table border=\"1\" class=\"dataframe\">\n",
	679	+ " <thead>\n",
	680	+ " <tr style=\"text-align: right;\">\n",
	681	+ " <th></th>\n",
	682	+ " <th>자치구</th>\n",
	683	+ " <th>계</th>\n",
	684	+ " <th>계.1</th>\n",
	685	+ " <th>계.2</th>\n",
	686	+ " <th>65세이상고령자</th>\n",
	687	+ " </tr>\n",
	688	+ " </thead>\n",
	689	+ " <tbody>\n",
	690	+ " <tr>\n",
	691	+ " <th>0</th>\n",
	692	+ " <td>합계</td>\n",
	693	+ " <td>9736027</td>\n",
	694	+ " <td>9509458</td>\n",
	695	+ " <td>226569</td>\n",
	696	+ " <td>1605416</td>\n",
	697	+ " </tr>\n",
	698	+ " <tr>\n",
	699	+ " <th>1</th>\n",
	700	+ " <td>종로구</td>\n",
	701	+ " <td>153789</td>\n",
	702	+ " <td>144683</td>\n",
	703	+ " <td>9106</td>\n",
	704	+ " <td>27818</td>\n",
	705	+ " </tr>\n",
	706	+ " <tr>\n",
	707	+ " <th>2</th>\n",
	708	+ " <td>중구</td>\n",
	709	+ " <td>131787</td>\n",
	710	+ " <td>122499</td>\n",
	711	+ " <td>9288</td>\n",
	712	+ " <td>24392</td>\n",
	713	+ " </tr>\n",
	714	+ " <tr>\n",
	715	+ " <th>3</th>\n",
	716	+ " <td>용산구</td>\n",
	717	+ " <td>237285</td>\n",
	718	+ " <td>222953</td>\n",
	719	+ " <td>14332</td>\n",
	720	+ " <td>39070</td>\n",
	721	+ " </tr>\n",
	722	+ " <tr>\n",
	723	+ " <th>4</th>\n",
	724	+ " <td>성동구</td>\n",
	725	+ " <td>292672</td>\n",
	726	+ " <td>285990</td>\n",
	727	+ " <td>6682</td>\n",
	728	+ " <td>46380</td>\n",
	729	+ " </tr>\n",
	730	+ " </tbody>\n",
	731	+ "</table>\n",
	732	+ "</div>"
	733	+ ],
	734	+ "text/plain": [
	735	+ " 자치구 계 계.1 계.2 65세이상고령자\n",
	736	+ "0 합계 9736027 9509458 226569 1605416\n",
	737	+ "1 종로구 153789 144683 9106 27818\n",
	738	+ "2 중구 131787 122499 9288 24392\n",
	739	+ "3 용산구 237285 222953 14332 39070\n",
	740	+ "4 성동구 292672 285990 6682 46380"
	741	+ ]
	742	+ },
	743	+ "execution_count": 21,
	744	+ "metadata": {},
	745	+ "output_type": "execute_result"
	746	+ }
	747	+ ],
	748	+ "source": [
	749	+ "popData = pd.read_excel('./seoul_population.xls', header=2, usecols='B, D, G, J, N')\n",
	750	+ "popData.head()"
	751	+ ]
	752	+ },
	753	+ {
	754	+ "cell_type": "code",
	755	+ "execution_count": 22,
	756	+ "id": "7fcdba74",
	757	+ "metadata": {},
	758	+ "outputs": [],
	759	+ "source": [
	760	+ "popData.rename(columns={'자치구':'구별', '계':'인구수', '계.1':'한국인', '계.2':'외국인', '65세이상고령자':'고령자'}, inplace=True)"
	761	+ ]
	762	+ },
	763	+ {
	764	+ "cell_type": "code",
	765	+ "execution_count": 23,
	766	+ "id": "b725e640",
	767	+ "metadata": {},
	768	+ "outputs": [
	769	+ {
	770	+ "data": {
	771	+ "text/html": [
	772	+ "<div>\n",
	773	+ "<style scoped>\n",
	774	+ " .dataframe tbody tr th:only-of-type {\n",
	775	+ " vertical-align: middle;\n",
	776	+ " }\n",
	777	+ "\n",
	778	+ " .dataframe tbody tr th {\n",
	779	+ " vertical-align: top;\n",
	780	+ " }\n",
	781	+ "\n",
	782	+ " .dataframe thead th {\n",
	783	+ " text-align: right;\n",
	784	+ " }\n",
	785	+ "</style>\n",
	786	+ "<table border=\"1\" class=\"dataframe\">\n",
	787	+ " <thead>\n",
	788	+ " <tr style=\"text-align: right;\">\n",
	789	+ " <th></th>\n",
	790	+ " <th>구별</th>\n",
	791	+ " <th>인구수</th>\n",
	792	+ " <th>한국인</th>\n",
	793	+ " <th>외국인</th>\n",
	794	+ " <th>고령자</th>\n",
	795	+ " </tr>\n",
	796	+ " </thead>\n",
	797	+ " <tbody>\n",
	798	+ " <tr>\n",
	799	+ " <th>0</th>\n",
	800	+ " <td>합계</td>\n",
	801	+ " <td>9736027</td>\n",
	802	+ " <td>9509458</td>\n",
	803	+ " <td>226569</td>\n",
	804	+ " <td>1605416</td>\n",
	805	+ " </tr>\n",
	806	+ " <tr>\n",
	807	+ " <th>1</th>\n",
	808	+ " <td>종로구</td>\n",
	809	+ " <td>153789</td>\n",
	810	+ " <td>144683</td>\n",
	811	+ " <td>9106</td>\n",
	812	+ " <td>27818</td>\n",
	813	+ " </tr>\n",
	814	+ " <tr>\n",
	815	+ " <th>2</th>\n",
	816	+ " <td>중구</td>\n",
	817	+ " <td>131787</td>\n",
	818	+ " <td>122499</td>\n",
	819	+ " <td>9288</td>\n",
	820	+ " <td>24392</td>\n",
	821	+ " </tr>\n",
	822	+ " <tr>\n",
	823	+ " <th>3</th>\n",
	824	+ " <td>용산구</td>\n",
	825	+ " <td>237285</td>\n",
	826	+ " <td>222953</td>\n",
	827	+ " <td>14332</td>\n",
	828	+ " <td>39070</td>\n",
	829	+ " </tr>\n",
	830	+ " <tr>\n",
	831	+ " <th>4</th>\n",
	832	+ " <td>성동구</td>\n",
	833	+ " <td>292672</td>\n",
	834	+ " <td>285990</td>\n",
	835	+ " <td>6682</td>\n",
	836	+ " <td>46380</td>\n",
	837	+ " </tr>\n",
	838	+ " </tbody>\n",
	839	+ "</table>\n",
	840	+ "</div>"
	841	+ ],
	842	+ "text/plain": [
	843	+ " 구별 인구수 한국인 외국인 고령자\n",
	844	+ "0 합계 9736027 9509458 226569 1605416\n",
	845	+ "1 종로구 153789 144683 9106 27818\n",
	846	+ "2 중구 131787 122499 9288 24392\n",
	847	+ "3 용산구 237285 222953 14332 39070\n",
	848	+ "4 성동구 292672 285990 6682 46380"
	849	+ ]
	850	+ },
	851	+ "execution_count": 23,
	852	+ "metadata": {},
	853	+ "output_type": "execute_result"
	854	+ }
	855	+ ],
	856	+ "source": [
	857	+ "popData.head()"
	858	+ ]
	859	+ },
	860	+ {
	861	+ "cell_type": "code",
	862	+ "execution_count": 26,
	863	+ "id": "60e168a3",
	864	+ "metadata": {},
	865	+ "outputs": [
	866	+ {
	867	+ "data": {
	868	+ "text/html": [
	869	+ "<div>\n",
	870	+ "<style scoped>\n",
	871	+ " .dataframe tbody tr th:only-of-type {\n",
	872	+ " vertical-align: middle;\n",
	873	+ " }\n",
	874	+ "\n",
	875	+ " .dataframe tbody tr th {\n",
	876	+ " vertical-align: top;\n",
	877	+ " }\n",
	878	+ "\n",
	879	+ " .dataframe thead th {\n",
	880	+ " text-align: right;\n",
	881	+ " }\n",
	882	+ "</style>\n",
	883	+ "<table border=\"1\" class=\"dataframe\">\n",
	884	+ " <thead>\n",
	885	+ " <tr style=\"text-align: right;\">\n",
	886	+ " <th></th>\n",
	887	+ " <th>구별</th>\n",
	888	+ " <th>총계</th>\n",
	889	+ " <th>2012년 이전</th>\n",
	890	+ " <th>2012년</th>\n",
	891	+ " <th>2013년</th>\n",
	892	+ " <th>2014년</th>\n",
	893	+ " <th>2015년</th>\n",
	894	+ " <th>2016년</th>\n",
	895	+ " <th>2017년</th>\n",
	896	+ " <th>2018년</th>\n",
	897	+ " <th>2019년</th>\n",
	898	+ " <th>2020년</th>\n",
	899	+ " <th>2021년</th>\n",
	900	+ " </tr>\n",
	901	+ " </thead>\n",
	902	+ " <tbody>\n",
	903	+ " <tr>\n",
	904	+ " <th>22</th>\n",
	905	+ " <td>강남구</td>\n",
	906	+ " <td>6,871</td>\n",
	907	+ " <td>69</td>\n",
	908	+ " <td>67</td>\n",
	909	+ " <td>66</td>\n",
	910	+ " <td>580</td>\n",
	911	+ " <td>830</td>\n",
	912	+ " <td>1293</td>\n",
	913	+ " <td>988</td>\n",
	914	+ " <td>745</td>\n",
	915	+ " <td>791</td>\n",
	916	+ " <td>926</td>\n",
	917	+ " <td>516</td>\n",
	918	+ " </tr>\n",
	919	+ " <tr>\n",
	920	+ " <th>20</th>\n",
	921	+ " <td>관악구</td>\n",
	922	+ " <td>5,149</td>\n",
	923	+ " <td>440</td>\n",
	924	+ " <td>84</td>\n",
	925	+ " <td>431</td>\n",
	926	+ " <td>439</td>\n",
	927	+ " <td>609</td>\n",
	928	+ " <td>622</td>\n",
	929	+ " <td>688</td>\n",
	930	+ " <td>674</td>\n",
	931	+ " <td>595</td>\n",
	932	+ " <td>331</td>\n",
	933	+ " <td>236</td>\n",
	934	+ " </tr>\n",
	935	+ " <tr>\n",
	936	+ " <th>16</th>\n",
	937	+ " <td>구로구</td>\n",
	938	+ " <td>4,608</td>\n",
	939	+ " <td>852</td>\n",
	940	+ " <td>216</td>\n",
	941	+ " <td>349</td>\n",
	942	+ " <td>187</td>\n",
	943	+ " <td>268</td>\n",
	944	+ " <td>326</td>\n",
	945	+ " <td>540</td>\n",
	946	+ " <td>488</td>\n",
	947	+ " <td>434</td>\n",
	948	+ " <td>415</td>\n",
	949	+ " <td>533</td>\n",
	950	+ " </tr>\n",
	951	+ " <tr>\n",
	952	+ " <th>7</th>\n",
	953	+ " <td>성북구</td>\n",
	954	+ " <td>4,602</td>\n",
	955	+ " <td>81</td>\n",
	956	+ " <td>78</td>\n",
	957	+ " <td>170</td>\n",
	958	+ " <td>229</td>\n",
	959	+ " <td>322</td>\n",
	960	+ " <td>594</td>\n",
	961	+ " <td>890</td>\n",
	962	+ " <td>867</td>\n",
	963	+ " <td>714</td>\n",
	964	+ " <td>253</td>\n",
	965	+ " <td>404</td>\n",
	966	+ " </tr>\n",
	967	+ " <tr>\n",
	968	+ " <th>11</th>\n",
	969	+ " <td>은평구</td>\n",
	970	+ " <td>4,131</td>\n",
	971	+ " <td>14</td>\n",
	972	+ " <td>3</td>\n",
	973	+ " <td>44</td>\n",
	974	+ " <td>332</td>\n",
	975	+ " <td>329</td>\n",
	976	+ " <td>555</td>\n",
	977	+ " <td>403</td>\n",
	978	+ " <td>635</td>\n",
	979	+ " <td>1057</td>\n",
	980	+ " <td>288</td>\n",
	981	+ " <td>471</td>\n",
	982	+ " </tr>\n",
	983	+ " </tbody>\n",
	984	+ "</table>\n",
	985	+ "</div>"
	986	+ ],
	987	+ "text/plain": [
	988	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 2020년 \\\n",
	989	+ "22 강남구 6,871 69 67 66 580 830 1293 988 745 791 926 \n",
	990	+ "20 관악구 5,149 440 84 431 439 609 622 688 674 595 331 \n",
	991	+ "16 구로구 4,608 852 216 349 187 268 326 540 488 434 415 \n",
	992	+ "7 성북구 4,602 81 78 170 229 322 594 890 867 714 253 \n",
	993	+ "11 은평구 4,131 14 3 44 332 329 555 403 635 1057 288 \n",
	994	+ "\n",
	995	+ " 2021년 \n",
	996	+ "22 516 \n",
	997	+ "20 236 \n",
	998	+ "16 533 \n",
	999	+ "7 404 \n",
	1000	+ "11 471 "
	1001	+ ]
	1002	+ },
	1003	+ "execution_count": 26,
	1004	+ "metadata": {},
	1005	+ "output_type": "execute_result"
	1006	+ }
	1007	+ ],
	1008	+ "source": [
	1009	+ "cctvData.sort_values(by='총계', ascending=False).head()"
	1010	+ ]
	1011	+ },
	1012	+ {
	1013	+ "cell_type": "code",
	1014	+ "execution_count": null,
	1015	+ "id": "8e4b2882",
	1016	+ "metadata": {},
	1017	+ "outputs": [],
	1018	+ "source": []
	1019	+ },
	1020	+ {
	1021	+ "cell_type": "code",
	1022	+ "execution_count": 27,
	1023	+ "id": "b3bba330",
	1024	+ "metadata": {
	1025	+ "scrolled": true
	1026	+ },
	1027	+ "outputs": [
	1028	+ {
	1029	+ "data": {
	1030	+ "text/html": [
	1031	+ "<div>\n",
	1032	+ "<style scoped>\n",
	1033	+ " .dataframe tbody tr th:only-of-type {\n",
	1034	+ " vertical-align: middle;\n",
	1035	+ " }\n",
	1036	+ "\n",
	1037	+ " .dataframe tbody tr th {\n",
	1038	+ " vertical-align: top;\n",
	1039	+ " }\n",
	1040	+ "\n",
	1041	+ " .dataframe thead th {\n",
	1042	+ " text-align: right;\n",
	1043	+ " }\n",
	1044	+ "</style>\n",
	1045	+ "<table border=\"1\" class=\"dataframe\">\n",
	1046	+ " <thead>\n",
	1047	+ " <tr style=\"text-align: right;\">\n",
	1048	+ " <th></th>\n",
	1049	+ " <th>구별</th>\n",
	1050	+ " <th>총계</th>\n",
	1051	+ " <th>2012년 이전</th>\n",
	1052	+ " <th>2012년</th>\n",
	1053	+ " <th>2013년</th>\n",
	1054	+ " <th>2014년</th>\n",
	1055	+ " <th>2015년</th>\n",
	1056	+ " <th>2016년</th>\n",
	1057	+ " <th>2017년</th>\n",
	1058	+ " <th>2018년</th>\n",
	1059	+ " <th>2019년</th>\n",
	1060	+ " <th>2020년</th>\n",
	1061	+ " <th>2021년</th>\n",
	1062	+ " </tr>\n",
	1063	+ " </thead>\n",
	1064	+ " <tbody>\n",
	1065	+ " <tr>\n",
	1066	+ " <th>0</th>\n",
	1067	+ " <td>False</td>\n",
	1068	+ " <td>False</td>\n",
	1069	+ " <td>False</td>\n",
	1070	+ " <td>True</td>\n",
	1071	+ " <td>True</td>\n",
	1072	+ " <td>False</td>\n",
	1073	+ " <td>False</td>\n",
	1074	+ " <td>False</td>\n",
	1075	+ " <td>False</td>\n",
	1076	+ " <td>False</td>\n",
	1077	+ " <td>False</td>\n",
	1078	+ " <td>False</td>\n",
	1079	+ " <td>False</td>\n",
	1080	+ " </tr>\n",
	1081	+ " <tr>\n",
	1082	+ " <th>1</th>\n",
	1083	+ " <td>False</td>\n",
	1084	+ " <td>False</td>\n",
	1085	+ " <td>False</td>\n",
	1086	+ " <td>False</td>\n",
	1087	+ " <td>False</td>\n",
	1088	+ " <td>False</td>\n",
	1089	+ " <td>False</td>\n",
	1090	+ " <td>False</td>\n",
	1091	+ " <td>False</td>\n",
	1092	+ " <td>False</td>\n",
	1093	+ " <td>False</td>\n",
	1094	+ " <td>False</td>\n",
	1095	+ " <td>False</td>\n",
	1096	+ " </tr>\n",
	1097	+ " <tr>\n",
	1098	+ " <th>2</th>\n",
	1099	+ " <td>False</td>\n",
	1100	+ " <td>False</td>\n",
	1101	+ " <td>False</td>\n",
	1102	+ " <td>False</td>\n",
	1103	+ " <td>False</td>\n",
	1104	+ " <td>False</td>\n",
	1105	+ " <td>False</td>\n",
	1106	+ " <td>False</td>\n",
	1107	+ " <td>False</td>\n",
	1108	+ " <td>False</td>\n",
	1109	+ " <td>False</td>\n",
	1110	+ " <td>False</td>\n",
	1111	+ " <td>False</td>\n",
	1112	+ " </tr>\n",
	1113	+ " <tr>\n",
	1114	+ " <th>3</th>\n",
	1115	+ " <td>False</td>\n",
	1116	+ " <td>False</td>\n",
	1117	+ " <td>False</td>\n",
	1118	+ " <td>False</td>\n",
	1119	+ " <td>False</td>\n",
	1120	+ " <td>False</td>\n",
	1121	+ " <td>False</td>\n",
	1122	+ " <td>False</td>\n",
	1123	+ " <td>False</td>\n",
	1124	+ " <td>False</td>\n",
	1125	+ " <td>False</td>\n",
	1126	+ " <td>False</td>\n",
	1127	+ " <td>False</td>\n",
	1128	+ " </tr>\n",
	1129	+ " <tr>\n",
	1130	+ " <th>4</th>\n",
	1131	+ " <td>False</td>\n",
	1132	+ " <td>False</td>\n",
	1133	+ " <td>False</td>\n",
	1134	+ " <td>False</td>\n",
	1135	+ " <td>False</td>\n",
	1136	+ " <td>False</td>\n",
	1137	+ " <td>False</td>\n",
	1138	+ " <td>False</td>\n",
	1139	+ " <td>False</td>\n",
	1140	+ " <td>False</td>\n",
	1141	+ " <td>False</td>\n",
	1142	+ " <td>False</td>\n",
	1143	+ " <td>False</td>\n",
	1144	+ " </tr>\n",
	1145	+ " <tr>\n",
	1146	+ " <th>5</th>\n",
	1147	+ " <td>False</td>\n",
	1148	+ " <td>False</td>\n",
	1149	+ " <td>False</td>\n",
	1150	+ " <td>False</td>\n",
	1151	+ " <td>False</td>\n",
	1152	+ " <td>False</td>\n",
	1153	+ " <td>False</td>\n",
	1154	+ " <td>False</td>\n",
	1155	+ " <td>False</td>\n",
	1156	+ " <td>False</td>\n",
	1157	+ " <td>False</td>\n",
	1158	+ " <td>False</td>\n",
	1159	+ " <td>False</td>\n",
	1160	+ " </tr>\n",
	1161	+ " <tr>\n",
	1162	+ " <th>6</th>\n",
	1163	+ " <td>False</td>\n",
	1164	+ " <td>False</td>\n",
	1165	+ " <td>False</td>\n",
	1166	+ " <td>False</td>\n",
	1167	+ " <td>False</td>\n",
	1168	+ " <td>False</td>\n",
	1169	+ " <td>False</td>\n",
	1170	+ " <td>False</td>\n",
	1171	+ " <td>False</td>\n",
	1172	+ " <td>False</td>\n",
	1173	+ " <td>False</td>\n",
	1174	+ " <td>False</td>\n",
	1175	+ " <td>False</td>\n",
	1176	+ " </tr>\n",
	1177	+ " <tr>\n",
	1178	+ " <th>7</th>\n",
	1179	+ " <td>False</td>\n",
	1180	+ " <td>False</td>\n",
	1181	+ " <td>False</td>\n",
	1182	+ " <td>False</td>\n",
	1183	+ " <td>False</td>\n",
	1184	+ " <td>False</td>\n",
	1185	+ " <td>False</td>\n",
	1186	+ " <td>False</td>\n",
	1187	+ " <td>False</td>\n",
	1188	+ " <td>False</td>\n",
	1189	+ " <td>False</td>\n",
	1190	+ " <td>False</td>\n",
	1191	+ " <td>False</td>\n",
	1192	+ " </tr>\n",
	1193	+ " <tr>\n",
	1194	+ " <th>8</th>\n",
	1195	+ " <td>False</td>\n",
	1196	+ " <td>False</td>\n",
	1197	+ " <td>False</td>\n",
	1198	+ " <td>False</td>\n",
	1199	+ " <td>False</td>\n",
	1200	+ " <td>False</td>\n",
	1201	+ " <td>False</td>\n",
	1202	+ " <td>False</td>\n",
	1203	+ " <td>False</td>\n",
	1204	+ " <td>False</td>\n",
	1205	+ " <td>False</td>\n",
	1206	+ " <td>False</td>\n",
	1207	+ " <td>False</td>\n",
	1208	+ " </tr>\n",
	1209	+ " <tr>\n",
	1210	+ " <th>9</th>\n",
	1211	+ " <td>False</td>\n",
	1212	+ " <td>False</td>\n",
	1213	+ " <td>False</td>\n",
	1214	+ " <td>False</td>\n",
	1215	+ " <td>False</td>\n",
	1216	+ " <td>False</td>\n",
	1217	+ " <td>False</td>\n",
	1218	+ " <td>False</td>\n",
	1219	+ " <td>False</td>\n",
	1220	+ " <td>False</td>\n",
	1221	+ " <td>False</td>\n",
	1222	+ " <td>False</td>\n",
	1223	+ " <td>False</td>\n",
	1224	+ " </tr>\n",
	1225	+ " <tr>\n",
	1226	+ " <th>10</th>\n",
	1227	+ " <td>False</td>\n",
	1228	+ " <td>False</td>\n",
	1229	+ " <td>False</td>\n",
	1230	+ " <td>False</td>\n",
	1231	+ " <td>False</td>\n",
	1232	+ " <td>False</td>\n",
	1233	+ " <td>False</td>\n",
	1234	+ " <td>False</td>\n",
	1235	+ " <td>False</td>\n",
	1236	+ " <td>False</td>\n",
	1237	+ " <td>False</td>\n",
	1238	+ " <td>False</td>\n",
	1239	+ " <td>False</td>\n",
	1240	+ " </tr>\n",
	1241	+ " <tr>\n",
	1242	+ " <th>11</th>\n",
	1243	+ " <td>False</td>\n",
	1244	+ " <td>False</td>\n",
	1245	+ " <td>False</td>\n",
	1246	+ " <td>False</td>\n",
	1247	+ " <td>False</td>\n",
	1248	+ " <td>False</td>\n",
	1249	+ " <td>False</td>\n",
	1250	+ " <td>False</td>\n",
	1251	+ " <td>False</td>\n",
	1252	+ " <td>False</td>\n",
	1253	+ " <td>False</td>\n",
	1254	+ " <td>False</td>\n",
	1255	+ " <td>False</td>\n",
	1256	+ " </tr>\n",
	1257	+ " <tr>\n",
	1258	+ " <th>12</th>\n",
	1259	+ " <td>False</td>\n",
	1260	+ " <td>False</td>\n",
	1261	+ " <td>False</td>\n",
	1262	+ " <td>False</td>\n",
	1263	+ " <td>False</td>\n",
	1264	+ " <td>False</td>\n",
	1265	+ " <td>False</td>\n",
	1266	+ " <td>False</td>\n",
	1267	+ " <td>False</td>\n",
	1268	+ " <td>False</td>\n",
	1269	+ " <td>False</td>\n",
	1270	+ " <td>False</td>\n",
	1271	+ " <td>False</td>\n",
	1272	+ " </tr>\n",
	1273	+ " <tr>\n",
	1274	+ " <th>13</th>\n",
	1275	+ " <td>False</td>\n",
	1276	+ " <td>False</td>\n",
	1277	+ " <td>False</td>\n",
	1278	+ " <td>False</td>\n",
	1279	+ " <td>False</td>\n",
	1280	+ " <td>False</td>\n",
	1281	+ " <td>False</td>\n",
	1282	+ " <td>False</td>\n",
	1283	+ " <td>False</td>\n",
	1284	+ " <td>False</td>\n",
	1285	+ " <td>False</td>\n",
	1286	+ " <td>False</td>\n",
	1287	+ " <td>False</td>\n",
	1288	+ " </tr>\n",
	1289	+ " <tr>\n",
	1290	+ " <th>14</th>\n",
	1291	+ " <td>False</td>\n",
	1292	+ " <td>False</td>\n",
	1293	+ " <td>False</td>\n",
	1294	+ " <td>False</td>\n",
	1295	+ " <td>False</td>\n",
	1296	+ " <td>False</td>\n",
	1297	+ " <td>False</td>\n",
	1298	+ " <td>False</td>\n",
	1299	+ " <td>False</td>\n",
	1300	+ " <td>False</td>\n",
	1301	+ " <td>False</td>\n",
	1302	+ " <td>False</td>\n",
	1303	+ " <td>False</td>\n",
	1304	+ " </tr>\n",
	1305	+ " <tr>\n",
	1306	+ " <th>15</th>\n",
	1307	+ " <td>False</td>\n",
	1308	+ " <td>False</td>\n",
	1309	+ " <td>False</td>\n",
	1310	+ " <td>False</td>\n",
	1311	+ " <td>False</td>\n",
	1312	+ " <td>False</td>\n",
	1313	+ " <td>False</td>\n",
	1314	+ " <td>False</td>\n",
	1315	+ " <td>False</td>\n",
	1316	+ " <td>False</td>\n",
	1317	+ " <td>False</td>\n",
	1318	+ " <td>False</td>\n",
	1319	+ " <td>False</td>\n",
	1320	+ " </tr>\n",
	1321	+ " <tr>\n",
	1322	+ " <th>16</th>\n",
	1323	+ " <td>False</td>\n",
	1324	+ " <td>False</td>\n",
	1325	+ " <td>False</td>\n",
	1326	+ " <td>False</td>\n",
	1327	+ " <td>False</td>\n",
	1328	+ " <td>False</td>\n",
	1329	+ " <td>False</td>\n",
	1330	+ " <td>False</td>\n",
	1331	+ " <td>False</td>\n",
	1332	+ " <td>False</td>\n",
	1333	+ " <td>False</td>\n",
	1334	+ " <td>False</td>\n",
	1335	+ " <td>False</td>\n",
	1336	+ " </tr>\n",
	1337	+ " <tr>\n",
	1338	+ " <th>17</th>\n",
	1339	+ " <td>False</td>\n",
	1340	+ " <td>False</td>\n",
	1341	+ " <td>False</td>\n",
	1342	+ " <td>False</td>\n",
	1343	+ " <td>False</td>\n",
	1344	+ " <td>False</td>\n",
	1345	+ " <td>False</td>\n",
	1346	+ " <td>False</td>\n",
	1347	+ " <td>False</td>\n",
	1348	+ " <td>False</td>\n",
	1349	+ " <td>False</td>\n",
	1350	+ " <td>False</td>\n",
	1351	+ " <td>False</td>\n",
	1352	+ " </tr>\n",
	1353	+ " <tr>\n",
	1354	+ " <th>18</th>\n",
	1355	+ " <td>False</td>\n",
	1356	+ " <td>False</td>\n",
	1357	+ " <td>False</td>\n",
	1358	+ " <td>False</td>\n",
	1359	+ " <td>False</td>\n",
	1360	+ " <td>False</td>\n",
	1361	+ " <td>False</td>\n",
	1362	+ " <td>False</td>\n",
	1363	+ " <td>False</td>\n",
	1364	+ " <td>False</td>\n",
	1365	+ " <td>False</td>\n",
	1366	+ " <td>False</td>\n",
	1367	+ " <td>False</td>\n",
	1368	+ " </tr>\n",
	1369	+ " <tr>\n",
	1370	+ " <th>19</th>\n",
	1371	+ " <td>False</td>\n",
	1372	+ " <td>False</td>\n",
	1373	+ " <td>False</td>\n",
	1374	+ " <td>False</td>\n",
	1375	+ " <td>False</td>\n",
	1376	+ " <td>False</td>\n",
	1377	+ " <td>False</td>\n",
	1378	+ " <td>False</td>\n",
	1379	+ " <td>False</td>\n",
	1380	+ " <td>False</td>\n",
	1381	+ " <td>False</td>\n",
	1382	+ " <td>False</td>\n",
	1383	+ " <td>False</td>\n",
	1384	+ " </tr>\n",
	1385	+ " <tr>\n",
	1386	+ " <th>20</th>\n",
	1387	+ " <td>False</td>\n",
	1388	+ " <td>False</td>\n",
	1389	+ " <td>False</td>\n",
	1390	+ " <td>False</td>\n",
	1391	+ " <td>False</td>\n",
	1392	+ " <td>False</td>\n",
	1393	+ " <td>False</td>\n",
	1394	+ " <td>False</td>\n",
	1395	+ " <td>False</td>\n",
	1396	+ " <td>False</td>\n",
	1397	+ " <td>False</td>\n",
	1398	+ " <td>False</td>\n",
	1399	+ " <td>False</td>\n",
	1400	+ " </tr>\n",
	1401	+ " <tr>\n",
	1402	+ " <th>21</th>\n",
	1403	+ " <td>False</td>\n",
	1404	+ " <td>False</td>\n",
	1405	+ " <td>False</td>\n",
	1406	+ " <td>False</td>\n",
	1407	+ " <td>False</td>\n",
	1408	+ " <td>False</td>\n",
	1409	+ " <td>False</td>\n",
	1410	+ " <td>False</td>\n",
	1411	+ " <td>False</td>\n",
	1412	+ " <td>False</td>\n",
	1413	+ " <td>False</td>\n",
	1414	+ " <td>False</td>\n",
	1415	+ " <td>False</td>\n",
	1416	+ " </tr>\n",
	1417	+ " <tr>\n",
	1418	+ " <th>22</th>\n",
	1419	+ " <td>False</td>\n",
	1420	+ " <td>False</td>\n",
	1421	+ " <td>False</td>\n",
	1422	+ " <td>False</td>\n",
	1423	+ " <td>False</td>\n",
	1424	+ " <td>False</td>\n",
	1425	+ " <td>False</td>\n",
	1426	+ " <td>False</td>\n",
	1427	+ " <td>False</td>\n",
	1428	+ " <td>False</td>\n",
	1429	+ " <td>False</td>\n",
	1430	+ " <td>False</td>\n",
	1431	+ " <td>False</td>\n",
	1432	+ " </tr>\n",
	1433	+ " <tr>\n",
	1434	+ " <th>23</th>\n",
	1435	+ " <td>False</td>\n",
	1436	+ " <td>False</td>\n",
	1437	+ " <td>False</td>\n",
	1438	+ " <td>False</td>\n",
	1439	+ " <td>False</td>\n",
	1440	+ " <td>False</td>\n",
	1441	+ " <td>False</td>\n",
	1442	+ " <td>False</td>\n",
	1443	+ " <td>False</td>\n",
	1444	+ " <td>False</td>\n",
	1445	+ " <td>False</td>\n",
	1446	+ " <td>False</td>\n",
	1447	+ " <td>False</td>\n",
	1448	+ " </tr>\n",
	1449	+ " <tr>\n",
	1450	+ " <th>24</th>\n",
	1451	+ " <td>False</td>\n",
	1452	+ " <td>False</td>\n",
	1453	+ " <td>False</td>\n",
	1454	+ " <td>False</td>\n",
	1455	+ " <td>False</td>\n",
	1456	+ " <td>False</td>\n",
	1457	+ " <td>False</td>\n",
	1458	+ " <td>False</td>\n",
	1459	+ " <td>False</td>\n",
	1460	+ " <td>False</td>\n",
	1461	+ " <td>False</td>\n",
	1462	+ " <td>False</td>\n",
	1463	+ " <td>False</td>\n",
	1464	+ " </tr>\n",
	1465	+ " </tbody>\n",
	1466	+ "</table>\n",
	1467	+ "</div>"
	1468	+ ],
	1469	+ "text/plain": [
	1470	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	1471	+ "0 False False False True True False False False False False \n",
	1472	+ "1 False False False False False False False False False False \n",
	1473	+ "2 False False False False False False False False False False \n",
	1474	+ "3 False False False False False False False False False False \n",
	1475	+ "4 False False False False False False False False False False \n",
	1476	+ "5 False False False False False False False False False False \n",
	1477	+ "6 False False False False False False False False False False \n",
	1478	+ "7 False False False False False False False False False False \n",
	1479	+ "8 False False False False False False False False False False \n",
	1480	+ "9 False False False False False False False False False False \n",
	1481	+ "10 False False False False False False False False False False \n",
	1482	+ "11 False False False False False False False False False False \n",
	1483	+ "12 False False False False False False False False False False \n",
	1484	+ "13 False False False False False False False False False False \n",
	1485	+ "14 False False False False False False False False False False \n",
	1486	+ "15 False False False False False False False False False False \n",
	1487	+ "16 False False False False False False False False False False \n",
	1488	+ "17 False False False False False False False False False False \n",
	1489	+ "18 False False False False False False False False False False \n",
	1490	+ "19 False False False False False False False False False False \n",
	1491	+ "20 False False False False False False False False False False \n",
	1492	+ "21 False False False False False False False False False False \n",
	1493	+ "22 False False False False False False False False False False \n",
	1494	+ "23 False False False False False False False False False False \n",
	1495	+ "24 False False False False False False False False False False \n",
	1496	+ "\n",
	1497	+ " 2019년 2020년 2021년 \n",
	1498	+ "0 False False False \n",
	1499	+ "1 False False False \n",
	1500	+ "2 False False False \n",
	1501	+ "3 False False False \n",
	1502	+ "4 False False False \n",
	1503	+ "5 False False False \n",
	1504	+ "6 False False False \n",
	1505	+ "7 False False False \n",
	1506	+ "8 False False False \n",
	1507	+ "9 False False False \n",
	1508	+ "10 False False False \n",
	1509	+ "11 False False False \n",
	1510	+ "12 False False False \n",
	1511	+ "13 False False False \n",
	1512	+ "14 False False False \n",
	1513	+ "15 False False False \n",
	1514	+ "16 False False False \n",
	1515	+ "17 False False False \n",
	1516	+ "18 False False False \n",
	1517	+ "19 False False False \n",
	1518	+ "20 False False False \n",
	1519	+ "21 False False False \n",
	1520	+ "22 False False False \n",
	1521	+ "23 False False False \n",
	1522	+ "24 False False False "
	1523	+ ]
	1524	+ },
	1525	+ "execution_count": 27,
	1526	+ "metadata": {},
	1527	+ "output_type": "execute_result"
	1528	+ }
	1529	+ ],
	1530	+ "source": [
	1531	+ "cctvData.isnull()"
	1532	+ ]
	1533	+ },
	1534	+ {
	1535	+ "cell_type": "code",
	1536	+ "execution_count": null,
	1537	+ "id": "fcd8d10c",
	1538	+ "metadata": {},
	1539	+ "outputs": [],
	1540	+ "source": []
	1541	+ },
	1542	+ {
	1543	+ "cell_type": "code",
	1544	+ "execution_count": null,
	1545	+ "id": "7485fb10",
	1546	+ "metadata": {},
	1547	+ "outputs": [],
	1548	+ "source": []
	1549	+ }
	1550	+ ],
	1551	+ "metadata": {
	1552	+ "kernelspec": {
	1553	+ "display_name": "Python 3 (ipykernel)",
	1554	+ "language": "python",
	1555	+ "name": "python3"
	1556	+ },
	1557	+ "language_info": {
	1558	+ "codemirror_mode": {
	1559	+ "name": "ipython",
	1560	+ "version": 3
	1561	+ },
	1562	+ "file_extension": ".py",
	1563	+ "mimetype": "text/x-python",
	1564	+ "name": "python",
	1565	+ "nbconvert_exporter": "python",
	1566	+ "pygments_lexer": "ipython3",
	1567	+ "version": "3.9.7"
	1568	+ }
	1569	+ },
	1570	+ "nbformat": 4,
	1571	+ "nbformat_minor": 5
	1572	+}

652ba1e

20220530/cctv.ipynb (added)

+++ 20220530/cctv.ipynb

...	...	@@ -0,0 +1,2723 @@
	1	+{
	2	+ "cells": [
	3	+ {
	4	+ "cell_type": "code",
	5	+ "execution_count": 16,
	6	+ "id": "55e4cb48",
	7	+ "metadata": {},
	8	+ "outputs": [],
	9	+ "source": [
	10	+ "import pandas as pd\n",
	11	+ "import numpy as np\n",
	12	+ "import matplotlib.pyplot as plt"
	13	+ ]
	14	+ },
	15	+ {
	16	+ "cell_type": "code",
	17	+ "execution_count": 37,
	18	+ "id": "0dcd7237",
	19	+ "metadata": {
	20	+ "scrolled": true
	21	+ },
	22	+ "outputs": [
	23	+ {
	24	+ "data": {
	25	+ "text/html": [
	26	+ "<div>\n",
	27	+ "<style scoped>\n",
	28	+ " .dataframe tbody tr th:only-of-type {\n",
	29	+ " vertical-align: middle;\n",
	30	+ " }\n",
	31	+ "\n",
	32	+ " .dataframe tbody tr th {\n",
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	34	+ " }\n",
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	36	+ " .dataframe thead th {\n",
	37	+ " text-align: right;\n",
	38	+ " }\n",
	39	+ "</style>\n",
	40	+ "<table border=\"1\" class=\"dataframe\">\n",
	41	+ " <thead>\n",
	42	+ " <tr style=\"text-align: right;\">\n",
	43	+ " <th></th>\n",
	44	+ " <th>총계</th>\n",
	45	+ " <th>2012년 이전</th>\n",
	46	+ " <th>2012년</th>\n",
	47	+ " <th>2013년</th>\n",
	48	+ " <th>2014년</th>\n",
	49	+ " <th>2015년</th>\n",
	50	+ " <th>2016년</th>\n",
	51	+ " <th>2017년</th>\n",
	52	+ " <th>2018년</th>\n",
	53	+ " <th>2019년</th>\n",
	54	+ " <th>2020년</th>\n",
	55	+ " <th>2021년</th>\n",
	56	+ " </tr>\n",
	57	+ " <tr>\n",
	58	+ " <th>구분</th>\n",
	59	+ " <th></th>\n",
	60	+ " <th></th>\n",
	61	+ " <th></th>\n",
	62	+ " <th></th>\n",
	63	+ " <th></th>\n",
	64	+ " <th></th>\n",
	65	+ " <th></th>\n",
	66	+ " <th></th>\n",
	67	+ " <th></th>\n",
	68	+ " <th></th>\n",
	69	+ " <th></th>\n",
	70	+ " <th></th>\n",
	71	+ " </tr>\n",
	72	+ " </thead>\n",
	73	+ " <tbody>\n",
	74	+ " <tr>\n",
	75	+ " <th>계</th>\n",
	76	+ " <td>83557</td>\n",
	77	+ " <td>4812</td>\n",
	78	+ " <td>1851.0</td>\n",
	79	+ " <td>3434.0</td>\n",
	80	+ " <td>4295</td>\n",
	81	+ " <td>6840</td>\n",
	82	+ " <td>8708</td>\n",
	83	+ " <td>11572</td>\n",
	84	+ " <td>10627</td>\n",
	85	+ " <td>12267</td>\n",
	86	+ " <td>11247</td>\n",
	87	+ " <td>7904</td>\n",
	88	+ " </tr>\n",
	89	+ " <tr>\n",
	90	+ " <th>종로구</th>\n",
	91	+ " <td>1715</td>\n",
	92	+ " <td>815</td>\n",
	93	+ " <td>NaN</td>\n",
	94	+ " <td>NaN</td>\n",
	95	+ " <td>195</td>\n",
	96	+ " <td>150</td>\n",
	97	+ " <td>0</td>\n",
	98	+ " <td>261</td>\n",
	99	+ " <td>85</td>\n",
	100	+ " <td>9</td>\n",
	101	+ " <td>200</td>\n",
	102	+ " <td>0</td>\n",
	103	+ " </tr>\n",
	104	+ " <tr>\n",
	105	+ " <th>중구</th>\n",
	106	+ " <td>2447</td>\n",
	107	+ " <td>16</td>\n",
	108	+ " <td>114.0</td>\n",
	109	+ " <td>87.0</td>\n",
	110	+ " <td>77</td>\n",
	111	+ " <td>236</td>\n",
	112	+ " <td>240</td>\n",
	113	+ " <td>372</td>\n",
	114	+ " <td>386</td>\n",
	115	+ " <td>155</td>\n",
	116	+ " <td>361</td>\n",
	117	+ " <td>403</td>\n",
	118	+ " </tr>\n",
	119	+ " <tr>\n",
	120	+ " <th>용산구</th>\n",
	121	+ " <td>2611</td>\n",
	122	+ " <td>34</td>\n",
	123	+ " <td>71.0</td>\n",
	124	+ " <td>234.0</td>\n",
	125	+ " <td>125</td>\n",
	126	+ " <td>221</td>\n",
	127	+ " <td>298</td>\n",
	128	+ " <td>351</td>\n",
	129	+ " <td>125</td>\n",
	130	+ " <td>307</td>\n",
	131	+ " <td>617</td>\n",
	132	+ " <td>228</td>\n",
	133	+ " </tr>\n",
	134	+ " <tr>\n",
	135	+ " <th>성동구</th>\n",
	136	+ " <td>3829</td>\n",
	137	+ " <td>163</td>\n",
	138	+ " <td>144.0</td>\n",
	139	+ " <td>208.0</td>\n",
	140	+ " <td>107</td>\n",
	141	+ " <td>325</td>\n",
	142	+ " <td>255</td>\n",
	143	+ " <td>967</td>\n",
	144	+ " <td>415</td>\n",
	145	+ " <td>490</td>\n",
	146	+ " <td>472</td>\n",
	147	+ " <td>283</td>\n",
	148	+ " </tr>\n",
	149	+ " </tbody>\n",
	150	+ "</table>\n",
	151	+ "</div>"
	152	+ ],
	153	+ "text/plain": [
	154	+ " 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	155	+ "구분 \n",
	156	+ "계 83557 4812 1851.0 3434.0 4295 6840 8708 11572 10627 \n",
	157	+ "종로구 1715 815 NaN NaN 195 150 0 261 85 \n",
	158	+ "중구 2447 16 114.0 87.0 77 236 240 372 386 \n",
	159	+ "용산구 2611 34 71.0 234.0 125 221 298 351 125 \n",
	160	+ "성동구 3829 163 144.0 208.0 107 325 255 967 415 \n",
	161	+ "\n",
	162	+ " 2019년 2020년 2021년 \n",
	163	+ "구분 \n",
	164	+ "계 12267 11247 7904 \n",
	165	+ "종로구 9 200 0 \n",
	166	+ "중구 155 361 403 \n",
	167	+ "용산구 307 617 228 \n",
	168	+ "성동구 490 472 283 "
	169	+ ]
	170	+ },
	171	+ "execution_count": 37,
	172	+ "metadata": {},
	173	+ "output_type": "execute_result"
	174	+ }
	175	+ ],
	176	+ "source": [
	177	+ "cctvData = pd.read_csv('./seoul_cctv_202112.csv', encoding='cp949', skiprows=1, index_col='구분', thousands=',')\n",
	178	+ "cctvData.head()"
	179	+ ]
	180	+ },
	181	+ {
	182	+ "cell_type": "code",
	183	+ "execution_count": 38,
	184	+ "id": "553f652c",
	185	+ "metadata": {
	186	+ "scrolled": true
	187	+ },
	188	+ "outputs": [
	189	+ {
	190	+ "data": {
	191	+ "text/html": [
	192	+ "<div>\n",
	193	+ "<style scoped>\n",
	194	+ " .dataframe tbody tr th:only-of-type {\n",
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	196	+ " }\n",
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	204	+ " }\n",
	205	+ "</style>\n",
	206	+ "<table border=\"1\" class=\"dataframe\">\n",
	207	+ " <thead>\n",
	208	+ " <tr style=\"text-align: right;\">\n",
	209	+ " <th></th>\n",
	210	+ " <th>총계</th>\n",
	211	+ " <th>2012년 이전</th>\n",
	212	+ " <th>2012년</th>\n",
	213	+ " <th>2013년</th>\n",
	214	+ " <th>2014년</th>\n",
	215	+ " <th>2015년</th>\n",
	216	+ " <th>2016년</th>\n",
	217	+ " <th>2017년</th>\n",
	218	+ " <th>2018년</th>\n",
	219	+ " <th>2019년</th>\n",
	220	+ " <th>2020년</th>\n",
	221	+ " <th>2021년</th>\n",
	222	+ " </tr>\n",
	223	+ " <tr>\n",
	224	+ " <th>구분</th>\n",
	225	+ " <th></th>\n",
	226	+ " <th></th>\n",
	227	+ " <th></th>\n",
	228	+ " <th></th>\n",
	229	+ " <th></th>\n",
	230	+ " <th></th>\n",
	231	+ " <th></th>\n",
	232	+ " <th></th>\n",
	233	+ " <th></th>\n",
	234	+ " <th></th>\n",
	235	+ " <th></th>\n",
	236	+ " <th></th>\n",
	237	+ " </tr>\n",
	238	+ " </thead>\n",
	239	+ " <tbody>\n",
	240	+ " <tr>\n",
	241	+ " <th>종로구</th>\n",
	242	+ " <td>1715</td>\n",
	243	+ " <td>815</td>\n",
	244	+ " <td>NaN</td>\n",
	245	+ " <td>NaN</td>\n",
	246	+ " <td>195</td>\n",
	247	+ " <td>150</td>\n",
	248	+ " <td>0</td>\n",
	249	+ " <td>261</td>\n",
	250	+ " <td>85</td>\n",
	251	+ " <td>9</td>\n",
	252	+ " <td>200</td>\n",
	253	+ " <td>0</td>\n",
	254	+ " </tr>\n",
	255	+ " <tr>\n",
	256	+ " <th>중구</th>\n",
	257	+ " <td>2447</td>\n",
	258	+ " <td>16</td>\n",
	259	+ " <td>114.0</td>\n",
	260	+ " <td>87.0</td>\n",
	261	+ " <td>77</td>\n",
	262	+ " <td>236</td>\n",
	263	+ " <td>240</td>\n",
	264	+ " <td>372</td>\n",
	265	+ " <td>386</td>\n",
	266	+ " <td>155</td>\n",
	267	+ " <td>361</td>\n",
	268	+ " <td>403</td>\n",
	269	+ " </tr>\n",
	270	+ " <tr>\n",
	271	+ " <th>용산구</th>\n",
	272	+ " <td>2611</td>\n",
	273	+ " <td>34</td>\n",
	274	+ " <td>71.0</td>\n",
	275	+ " <td>234.0</td>\n",
	276	+ " <td>125</td>\n",
	277	+ " <td>221</td>\n",
	278	+ " <td>298</td>\n",
	279	+ " <td>351</td>\n",
	280	+ " <td>125</td>\n",
	281	+ " <td>307</td>\n",
	282	+ " <td>617</td>\n",
	283	+ " <td>228</td>\n",
	284	+ " </tr>\n",
	285	+ " <tr>\n",
	286	+ " <th>성동구</th>\n",
	287	+ " <td>3829</td>\n",
	288	+ " <td>163</td>\n",
	289	+ " <td>144.0</td>\n",
	290	+ " <td>208.0</td>\n",
	291	+ " <td>107</td>\n",
	292	+ " <td>325</td>\n",
	293	+ " <td>255</td>\n",
	294	+ " <td>967</td>\n",
	295	+ " <td>415</td>\n",
	296	+ " <td>490</td>\n",
	297	+ " <td>472</td>\n",
	298	+ " <td>283</td>\n",
	299	+ " </tr>\n",
	300	+ " <tr>\n",
	301	+ " <th>광진구</th>\n",
	302	+ " <td>3211</td>\n",
	303	+ " <td>35</td>\n",
	304	+ " <td>57.0</td>\n",
	305	+ " <td>100.0</td>\n",
	306	+ " <td>187</td>\n",
	307	+ " <td>98</td>\n",
	308	+ " <td>52</td>\n",
	309	+ " <td>675</td>\n",
	310	+ " <td>465</td>\n",
	311	+ " <td>712</td>\n",
	312	+ " <td>175</td>\n",
	313	+ " <td>655</td>\n",
	314	+ " </tr>\n",
	315	+ " </tbody>\n",
	316	+ "</table>\n",
	317	+ "</div>"
	318	+ ],
	319	+ "text/plain": [
	320	+ " 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 2019년 \\\n",
	321	+ "구분 \n",
	322	+ "종로구 1715 815 NaN NaN 195 150 0 261 85 9 \n",
	323	+ "중구 2447 16 114.0 87.0 77 236 240 372 386 155 \n",
	324	+ "용산구 2611 34 71.0 234.0 125 221 298 351 125 307 \n",
	325	+ "성동구 3829 163 144.0 208.0 107 325 255 967 415 490 \n",
	326	+ "광진구 3211 35 57.0 100.0 187 98 52 675 465 712 \n",
	327	+ "\n",
	328	+ " 2020년 2021년 \n",
	329	+ "구분 \n",
	330	+ "종로구 200 0 \n",
	331	+ "중구 361 403 \n",
	332	+ "용산구 617 228 \n",
	333	+ "성동구 472 283 \n",
	334	+ "광진구 175 655 "
	335	+ ]
	336	+ },
	337	+ "execution_count": 38,
	338	+ "metadata": {},
	339	+ "output_type": "execute_result"
	340	+ }
	341	+ ],
	342	+ "source": [
	343	+ "cctvData.drop('계', inplace=True)\n",
	344	+ "cctvData.head()"
	345	+ ]
	346	+ },
	347	+ {
	348	+ "cell_type": "code",
	349	+ "execution_count": 39,
	350	+ "id": "783465f1",
	351	+ "metadata": {},
	352	+ "outputs": [
	353	+ {
	354	+ "data": {
	355	+ "text/html": [
	356	+ "<div>\n",
	357	+ "<style scoped>\n",
	358	+ " .dataframe tbody tr th:only-of-type {\n",
	359	+ " vertical-align: middle;\n",
	360	+ " }\n",
	361	+ "\n",
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	366	+ " .dataframe thead th {\n",
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	368	+ " }\n",
	369	+ "</style>\n",
	370	+ "<table border=\"1\" class=\"dataframe\">\n",
	371	+ " <thead>\n",
	372	+ " <tr style=\"text-align: right;\">\n",
	373	+ " <th></th>\n",
	374	+ " <th>구분</th>\n",
	375	+ " <th>총계</th>\n",
	376	+ " <th>2012년 이전</th>\n",
	377	+ " <th>2012년</th>\n",
	378	+ " <th>2013년</th>\n",
	379	+ " <th>2014년</th>\n",
	380	+ " <th>2015년</th>\n",
	381	+ " <th>2016년</th>\n",
	382	+ " <th>2017년</th>\n",
	383	+ " <th>2018년</th>\n",
	384	+ " <th>2019년</th>\n",
	385	+ " <th>2020년</th>\n",
	386	+ " <th>2021년</th>\n",
	387	+ " </tr>\n",
	388	+ " </thead>\n",
	389	+ " <tbody>\n",
	390	+ " <tr>\n",
	391	+ " <th>0</th>\n",
	392	+ " <td>종로구</td>\n",
	393	+ " <td>1715</td>\n",
	394	+ " <td>815</td>\n",
	395	+ " <td>NaN</td>\n",
	396	+ " <td>NaN</td>\n",
	397	+ " <td>195</td>\n",
	398	+ " <td>150</td>\n",
	399	+ " <td>0</td>\n",
	400	+ " <td>261</td>\n",
	401	+ " <td>85</td>\n",
	402	+ " <td>9</td>\n",
	403	+ " <td>200</td>\n",
	404	+ " <td>0</td>\n",
	405	+ " </tr>\n",
	406	+ " <tr>\n",
	407	+ " <th>1</th>\n",
	408	+ " <td>중구</td>\n",
	409	+ " <td>2447</td>\n",
	410	+ " <td>16</td>\n",
	411	+ " <td>114.0</td>\n",
	412	+ " <td>87.0</td>\n",
	413	+ " <td>77</td>\n",
	414	+ " <td>236</td>\n",
	415	+ " <td>240</td>\n",
	416	+ " <td>372</td>\n",
	417	+ " <td>386</td>\n",
	418	+ " <td>155</td>\n",
	419	+ " <td>361</td>\n",
	420	+ " <td>403</td>\n",
	421	+ " </tr>\n",
	422	+ " <tr>\n",
	423	+ " <th>2</th>\n",
	424	+ " <td>용산구</td>\n",
	425	+ " <td>2611</td>\n",
	426	+ " <td>34</td>\n",
	427	+ " <td>71.0</td>\n",
	428	+ " <td>234.0</td>\n",
	429	+ " <td>125</td>\n",
	430	+ " <td>221</td>\n",
	431	+ " <td>298</td>\n",
	432	+ " <td>351</td>\n",
	433	+ " <td>125</td>\n",
	434	+ " <td>307</td>\n",
	435	+ " <td>617</td>\n",
	436	+ " <td>228</td>\n",
	437	+ " </tr>\n",
	438	+ " <tr>\n",
	439	+ " <th>3</th>\n",
	440	+ " <td>성동구</td>\n",
	441	+ " <td>3829</td>\n",
	442	+ " <td>163</td>\n",
	443	+ " <td>144.0</td>\n",
	444	+ " <td>208.0</td>\n",
	445	+ " <td>107</td>\n",
	446	+ " <td>325</td>\n",
	447	+ " <td>255</td>\n",
	448	+ " <td>967</td>\n",
	449	+ " <td>415</td>\n",
	450	+ " <td>490</td>\n",
	451	+ " <td>472</td>\n",
	452	+ " <td>283</td>\n",
	453	+ " </tr>\n",
	454	+ " <tr>\n",
	455	+ " <th>4</th>\n",
	456	+ " <td>광진구</td>\n",
	457	+ " <td>3211</td>\n",
	458	+ " <td>35</td>\n",
	459	+ " <td>57.0</td>\n",
	460	+ " <td>100.0</td>\n",
	461	+ " <td>187</td>\n",
	462	+ " <td>98</td>\n",
	463	+ " <td>52</td>\n",
	464	+ " <td>675</td>\n",
	465	+ " <td>465</td>\n",
	466	+ " <td>712</td>\n",
	467	+ " <td>175</td>\n",
	468	+ " <td>655</td>\n",
	469	+ " </tr>\n",
	470	+ " </tbody>\n",
	471	+ "</table>\n",
	472	+ "</div>"
	473	+ ],
	474	+ "text/plain": [
	475	+ " 구분 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	476	+ "0 종로구 1715 815 NaN NaN 195 150 0 261 85 \n",
	477	+ "1 중구 2447 16 114.0 87.0 77 236 240 372 386 \n",
	478	+ "2 용산구 2611 34 71.0 234.0 125 221 298 351 125 \n",
	479	+ "3 성동구 3829 163 144.0 208.0 107 325 255 967 415 \n",
	480	+ "4 광진구 3211 35 57.0 100.0 187 98 52 675 465 \n",
	481	+ "\n",
	482	+ " 2019년 2020년 2021년 \n",
	483	+ "0 9 200 0 \n",
	484	+ "1 155 361 403 \n",
	485	+ "2 307 617 228 \n",
	486	+ "3 490 472 283 \n",
	487	+ "4 712 175 655 "
	488	+ ]
	489	+ },
	490	+ "execution_count": 39,
	491	+ "metadata": {},
	492	+ "output_type": "execute_result"
	493	+ }
	494	+ ],
	495	+ "source": [
	496	+ "cctvData.reset_index(inplace=True)\n",
	497	+ "cctvData.head()"
	498	+ ]
	499	+ },
	500	+ {
	501	+ "cell_type": "code",
	502	+ "execution_count": 40,
	503	+ "id": "1cedd174",
	504	+ "metadata": {},
	505	+ "outputs": [
	506	+ {
	507	+ "data": {
	508	+ "text/html": [
	509	+ "<div>\n",
	510	+ "<style scoped>\n",
	511	+ " .dataframe tbody tr th:only-of-type {\n",
	512	+ " vertical-align: middle;\n",
	513	+ " }\n",
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	517	+ " }\n",
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	520	+ " text-align: right;\n",
	521	+ " }\n",
	522	+ "</style>\n",
	523	+ "<table border=\"1\" class=\"dataframe\">\n",
	524	+ " <thead>\n",
	525	+ " <tr style=\"text-align: right;\">\n",
	526	+ " <th></th>\n",
	527	+ " <th>구별</th>\n",
	528	+ " <th>총계</th>\n",
	529	+ " <th>2012년 이전</th>\n",
	530	+ " <th>2012년</th>\n",
	531	+ " <th>2013년</th>\n",
	532	+ " <th>2014년</th>\n",
	533	+ " <th>2015년</th>\n",
	534	+ " <th>2016년</th>\n",
	535	+ " <th>2017년</th>\n",
	536	+ " <th>2018년</th>\n",
	537	+ " <th>2019년</th>\n",
	538	+ " <th>2020년</th>\n",
	539	+ " <th>2021년</th>\n",
	540	+ " </tr>\n",
	541	+ " </thead>\n",
	542	+ " <tbody>\n",
	543	+ " <tr>\n",
	544	+ " <th>0</th>\n",
	545	+ " <td>종로구</td>\n",
	546	+ " <td>1715</td>\n",
	547	+ " <td>815</td>\n",
	548	+ " <td>NaN</td>\n",
	549	+ " <td>NaN</td>\n",
	550	+ " <td>195</td>\n",
	551	+ " <td>150</td>\n",
	552	+ " <td>0</td>\n",
	553	+ " <td>261</td>\n",
	554	+ " <td>85</td>\n",
	555	+ " <td>9</td>\n",
	556	+ " <td>200</td>\n",
	557	+ " <td>0</td>\n",
	558	+ " </tr>\n",
	559	+ " <tr>\n",
	560	+ " <th>1</th>\n",
	561	+ " <td>중구</td>\n",
	562	+ " <td>2447</td>\n",
	563	+ " <td>16</td>\n",
	564	+ " <td>114.0</td>\n",
	565	+ " <td>87.0</td>\n",
	566	+ " <td>77</td>\n",
	567	+ " <td>236</td>\n",
	568	+ " <td>240</td>\n",
	569	+ " <td>372</td>\n",
	570	+ " <td>386</td>\n",
	571	+ " <td>155</td>\n",
	572	+ " <td>361</td>\n",
	573	+ " <td>403</td>\n",
	574	+ " </tr>\n",
	575	+ " <tr>\n",
	576	+ " <th>2</th>\n",
	577	+ " <td>용산구</td>\n",
	578	+ " <td>2611</td>\n",
	579	+ " <td>34</td>\n",
	580	+ " <td>71.0</td>\n",
	581	+ " <td>234.0</td>\n",
	582	+ " <td>125</td>\n",
	583	+ " <td>221</td>\n",
	584	+ " <td>298</td>\n",
	585	+ " <td>351</td>\n",
	586	+ " <td>125</td>\n",
	587	+ " <td>307</td>\n",
	588	+ " <td>617</td>\n",
	589	+ " <td>228</td>\n",
	590	+ " </tr>\n",
	591	+ " <tr>\n",
	592	+ " <th>3</th>\n",
	593	+ " <td>성동구</td>\n",
	594	+ " <td>3829</td>\n",
	595	+ " <td>163</td>\n",
	596	+ " <td>144.0</td>\n",
	597	+ " <td>208.0</td>\n",
	598	+ " <td>107</td>\n",
	599	+ " <td>325</td>\n",
	600	+ " <td>255</td>\n",
	601	+ " <td>967</td>\n",
	602	+ " <td>415</td>\n",
	603	+ " <td>490</td>\n",
	604	+ " <td>472</td>\n",
	605	+ " <td>283</td>\n",
	606	+ " </tr>\n",
	607	+ " <tr>\n",
	608	+ " <th>4</th>\n",
	609	+ " <td>광진구</td>\n",
	610	+ " <td>3211</td>\n",
	611	+ " <td>35</td>\n",
	612	+ " <td>57.0</td>\n",
	613	+ " <td>100.0</td>\n",
	614	+ " <td>187</td>\n",
	615	+ " <td>98</td>\n",
	616	+ " <td>52</td>\n",
	617	+ " <td>675</td>\n",
	618	+ " <td>465</td>\n",
	619	+ " <td>712</td>\n",
	620	+ " <td>175</td>\n",
	621	+ " <td>655</td>\n",
	622	+ " </tr>\n",
	623	+ " </tbody>\n",
	624	+ "</table>\n",
	625	+ "</div>"
	626	+ ],
	627	+ "text/plain": [
	628	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	629	+ "0 종로구 1715 815 NaN NaN 195 150 0 261 85 \n",
	630	+ "1 중구 2447 16 114.0 87.0 77 236 240 372 386 \n",
	631	+ "2 용산구 2611 34 71.0 234.0 125 221 298 351 125 \n",
	632	+ "3 성동구 3829 163 144.0 208.0 107 325 255 967 415 \n",
	633	+ "4 광진구 3211 35 57.0 100.0 187 98 52 675 465 \n",
	634	+ "\n",
	635	+ " 2019년 2020년 2021년 \n",
	636	+ "0 9 200 0 \n",
	637	+ "1 155 361 403 \n",
	638	+ "2 307 617 228 \n",
	639	+ "3 490 472 283 \n",
	640	+ "4 712 175 655 "
	641	+ ]
	642	+ },
	643	+ "execution_count": 40,
	644	+ "metadata": {},
	645	+ "output_type": "execute_result"
	646	+ }
	647	+ ],
	648	+ "source": [
	649	+ "cctvData.rename(columns={'구분':'구별'}, inplace=True)\n",
	650	+ "cctvData.head()"
	651	+ ]
	652	+ },
	653	+ {
	654	+ "cell_type": "code",
	655	+ "execution_count": 41,
	656	+ "id": "db484ef5",
	657	+ "metadata": {
	658	+ "scrolled": true
	659	+ },
	660	+ "outputs": [
	661	+ {
	662	+ "data": {
	663	+ "text/html": [
	664	+ "<div>\n",
	665	+ "<style scoped>\n",
	666	+ " .dataframe tbody tr th:only-of-type {\n",
	667	+ " vertical-align: middle;\n",
	668	+ " }\n",
	669	+ "\n",
	670	+ " .dataframe tbody tr th {\n",
	671	+ " vertical-align: top;\n",
	672	+ " }\n",
	673	+ "\n",
	674	+ " .dataframe thead th {\n",
	675	+ " text-align: right;\n",
	676	+ " }\n",
	677	+ "</style>\n",
	678	+ "<table border=\"1\" class=\"dataframe\">\n",
	679	+ " <thead>\n",
	680	+ " <tr style=\"text-align: right;\">\n",
	681	+ " <th></th>\n",
	682	+ " <th>자치구</th>\n",
	683	+ " <th>계</th>\n",
	684	+ " <th>계.1</th>\n",
	685	+ " <th>계.2</th>\n",
	686	+ " <th>65세이상고령자</th>\n",
	687	+ " </tr>\n",
	688	+ " </thead>\n",
	689	+ " <tbody>\n",
	690	+ " <tr>\n",
	691	+ " <th>0</th>\n",
	692	+ " <td>합계</td>\n",
	693	+ " <td>9736027</td>\n",
	694	+ " <td>9509458</td>\n",
	695	+ " <td>226569</td>\n",
	696	+ " <td>1605416</td>\n",
	697	+ " </tr>\n",
	698	+ " <tr>\n",
	699	+ " <th>1</th>\n",
	700	+ " <td>종로구</td>\n",
	701	+ " <td>153789</td>\n",
	702	+ " <td>144683</td>\n",
	703	+ " <td>9106</td>\n",
	704	+ " <td>27818</td>\n",
	705	+ " </tr>\n",
	706	+ " <tr>\n",
	707	+ " <th>2</th>\n",
	708	+ " <td>중구</td>\n",
	709	+ " <td>131787</td>\n",
	710	+ " <td>122499</td>\n",
	711	+ " <td>9288</td>\n",
	712	+ " <td>24392</td>\n",
	713	+ " </tr>\n",
	714	+ " <tr>\n",
	715	+ " <th>3</th>\n",
	716	+ " <td>용산구</td>\n",
	717	+ " <td>237285</td>\n",
	718	+ " <td>222953</td>\n",
	719	+ " <td>14332</td>\n",
	720	+ " <td>39070</td>\n",
	721	+ " </tr>\n",
	722	+ " <tr>\n",
	723	+ " <th>4</th>\n",
	724	+ " <td>성동구</td>\n",
	725	+ " <td>292672</td>\n",
	726	+ " <td>285990</td>\n",
	727	+ " <td>6682</td>\n",
	728	+ " <td>46380</td>\n",
	729	+ " </tr>\n",
	730	+ " </tbody>\n",
	731	+ "</table>\n",
	732	+ "</div>"
	733	+ ],
	734	+ "text/plain": [
	735	+ " 자치구 계 계.1 계.2 65세이상고령자\n",
	736	+ "0 합계 9736027 9509458 226569 1605416\n",
	737	+ "1 종로구 153789 144683 9106 27818\n",
	738	+ "2 중구 131787 122499 9288 24392\n",
	739	+ "3 용산구 237285 222953 14332 39070\n",
	740	+ "4 성동구 292672 285990 6682 46380"
	741	+ ]
	742	+ },
	743	+ "execution_count": 41,
	744	+ "metadata": {},
	745	+ "output_type": "execute_result"
	746	+ }
	747	+ ],
	748	+ "source": [
	749	+ "popData = pd.read_excel('./seoul_population.xls', header=2, usecols='B, D, G, J, N')\n",
	750	+ "popData.head()"
	751	+ ]
	752	+ },
	753	+ {
	754	+ "cell_type": "code",
	755	+ "execution_count": 42,
	756	+ "id": "3d54312e",
	757	+ "metadata": {},
	758	+ "outputs": [],
	759	+ "source": [
	760	+ "popData.rename(columns={'자치구':'구별', '계':'인구수', '계.1':'한국인', '계.2':'외국인', '65세이상고령자':'고령자'}, inplace=True)"
	761	+ ]
	762	+ },
	763	+ {
	764	+ "cell_type": "code",
	765	+ "execution_count": 43,
	766	+ "id": "b055fd00",
	767	+ "metadata": {},
	768	+ "outputs": [
	769	+ {
	770	+ "data": {
	771	+ "text/html": [
	772	+ "<div>\n",
	773	+ "<style scoped>\n",
	774	+ " .dataframe tbody tr th:only-of-type {\n",
	775	+ " vertical-align: middle;\n",
	776	+ " }\n",
	777	+ "\n",
	778	+ " .dataframe tbody tr th {\n",
	779	+ " vertical-align: top;\n",
	780	+ " }\n",
	781	+ "\n",
	782	+ " .dataframe thead th {\n",
	783	+ " text-align: right;\n",
	784	+ " }\n",
	785	+ "</style>\n",
	786	+ "<table border=\"1\" class=\"dataframe\">\n",
	787	+ " <thead>\n",
	788	+ " <tr style=\"text-align: right;\">\n",
	789	+ " <th></th>\n",
	790	+ " <th>구별</th>\n",
	791	+ " <th>인구수</th>\n",
	792	+ " <th>한국인</th>\n",
	793	+ " <th>외국인</th>\n",
	794	+ " <th>고령자</th>\n",
	795	+ " </tr>\n",
	796	+ " </thead>\n",
	797	+ " <tbody>\n",
	798	+ " <tr>\n",
	799	+ " <th>0</th>\n",
	800	+ " <td>합계</td>\n",
	801	+ " <td>9736027</td>\n",
	802	+ " <td>9509458</td>\n",
	803	+ " <td>226569</td>\n",
	804	+ " <td>1605416</td>\n",
	805	+ " </tr>\n",
	806	+ " <tr>\n",
	807	+ " <th>1</th>\n",
	808	+ " <td>종로구</td>\n",
	809	+ " <td>153789</td>\n",
	810	+ " <td>144683</td>\n",
	811	+ " <td>9106</td>\n",
	812	+ " <td>27818</td>\n",
	813	+ " </tr>\n",
	814	+ " <tr>\n",
	815	+ " <th>2</th>\n",
	816	+ " <td>중구</td>\n",
	817	+ " <td>131787</td>\n",
	818	+ " <td>122499</td>\n",
	819	+ " <td>9288</td>\n",
	820	+ " <td>24392</td>\n",
	821	+ " </tr>\n",
	822	+ " <tr>\n",
	823	+ " <th>3</th>\n",
	824	+ " <td>용산구</td>\n",
	825	+ " <td>237285</td>\n",
	826	+ " <td>222953</td>\n",
	827	+ " <td>14332</td>\n",
	828	+ " <td>39070</td>\n",
	829	+ " </tr>\n",
	830	+ " <tr>\n",
	831	+ " <th>4</th>\n",
	832	+ " <td>성동구</td>\n",
	833	+ " <td>292672</td>\n",
	834	+ " <td>285990</td>\n",
	835	+ " <td>6682</td>\n",
	836	+ " <td>46380</td>\n",
	837	+ " </tr>\n",
	838	+ " </tbody>\n",
	839	+ "</table>\n",
	840	+ "</div>"
	841	+ ],
	842	+ "text/plain": [
	843	+ " 구별 인구수 한국인 외국인 고령자\n",
	844	+ "0 합계 9736027 9509458 226569 1605416\n",
	845	+ "1 종로구 153789 144683 9106 27818\n",
	846	+ "2 중구 131787 122499 9288 24392\n",
	847	+ "3 용산구 237285 222953 14332 39070\n",
	848	+ "4 성동구 292672 285990 6682 46380"
	849	+ ]
	850	+ },
	851	+ "execution_count": 43,
	852	+ "metadata": {},
	853	+ "output_type": "execute_result"
	854	+ }
	855	+ ],
	856	+ "source": [
	857	+ "popData.head()"
	858	+ ]
	859	+ },
	860	+ {
	861	+ "cell_type": "code",
	862	+ "execution_count": 44,
	863	+ "id": "1155ded1",
	864	+ "metadata": {},
	865	+ "outputs": [
	866	+ {
	867	+ "data": {
	868	+ "text/html": [
	869	+ "<div>\n",
	870	+ "<style scoped>\n",
	871	+ " .dataframe tbody tr th:only-of-type {\n",
	872	+ " vertical-align: middle;\n",
	873	+ " }\n",
	874	+ "\n",
	875	+ " .dataframe tbody tr th {\n",
	876	+ " vertical-align: top;\n",
	877	+ " }\n",
	878	+ "\n",
	879	+ " .dataframe thead th {\n",
	880	+ " text-align: right;\n",
	881	+ " }\n",
	882	+ "</style>\n",
	883	+ "<table border=\"1\" class=\"dataframe\">\n",
	884	+ " <thead>\n",
	885	+ " <tr style=\"text-align: right;\">\n",
	886	+ " <th></th>\n",
	887	+ " <th>구별</th>\n",
	888	+ " <th>총계</th>\n",
	889	+ " <th>2012년 이전</th>\n",
	890	+ " <th>2012년</th>\n",
	891	+ " <th>2013년</th>\n",
	892	+ " <th>2014년</th>\n",
	893	+ " <th>2015년</th>\n",
	894	+ " <th>2016년</th>\n",
	895	+ " <th>2017년</th>\n",
	896	+ " <th>2018년</th>\n",
	897	+ " <th>2019년</th>\n",
	898	+ " <th>2020년</th>\n",
	899	+ " <th>2021년</th>\n",
	900	+ " </tr>\n",
	901	+ " </thead>\n",
	902	+ " <tbody>\n",
	903	+ " <tr>\n",
	904	+ " <th>22</th>\n",
	905	+ " <td>강남구</td>\n",
	906	+ " <td>6871</td>\n",
	907	+ " <td>69</td>\n",
	908	+ " <td>67.0</td>\n",
	909	+ " <td>66.0</td>\n",
	910	+ " <td>580</td>\n",
	911	+ " <td>830</td>\n",
	912	+ " <td>1293</td>\n",
	913	+ " <td>988</td>\n",
	914	+ " <td>745</td>\n",
	915	+ " <td>791</td>\n",
	916	+ " <td>926</td>\n",
	917	+ " <td>516</td>\n",
	918	+ " </tr>\n",
	919	+ " <tr>\n",
	920	+ " <th>20</th>\n",
	921	+ " <td>관악구</td>\n",
	922	+ " <td>5149</td>\n",
	923	+ " <td>440</td>\n",
	924	+ " <td>84.0</td>\n",
	925	+ " <td>431.0</td>\n",
	926	+ " <td>439</td>\n",
	927	+ " <td>609</td>\n",
	928	+ " <td>622</td>\n",
	929	+ " <td>688</td>\n",
	930	+ " <td>674</td>\n",
	931	+ " <td>595</td>\n",
	932	+ " <td>331</td>\n",
	933	+ " <td>236</td>\n",
	934	+ " </tr>\n",
	935	+ " <tr>\n",
	936	+ " <th>16</th>\n",
	937	+ " <td>구로구</td>\n",
	938	+ " <td>4608</td>\n",
	939	+ " <td>852</td>\n",
	940	+ " <td>216.0</td>\n",
	941	+ " <td>349.0</td>\n",
	942	+ " <td>187</td>\n",
	943	+ " <td>268</td>\n",
	944	+ " <td>326</td>\n",
	945	+ " <td>540</td>\n",
	946	+ " <td>488</td>\n",
	947	+ " <td>434</td>\n",
	948	+ " <td>415</td>\n",
	949	+ " <td>533</td>\n",
	950	+ " </tr>\n",
	951	+ " <tr>\n",
	952	+ " <th>7</th>\n",
	953	+ " <td>성북구</td>\n",
	954	+ " <td>4602</td>\n",
	955	+ " <td>81</td>\n",
	956	+ " <td>78.0</td>\n",
	957	+ " <td>170.0</td>\n",
	958	+ " <td>229</td>\n",
	959	+ " <td>322</td>\n",
	960	+ " <td>594</td>\n",
	961	+ " <td>890</td>\n",
	962	+ " <td>867</td>\n",
	963	+ " <td>714</td>\n",
	964	+ " <td>253</td>\n",
	965	+ " <td>404</td>\n",
	966	+ " </tr>\n",
	967	+ " <tr>\n",
	968	+ " <th>11</th>\n",
	969	+ " <td>은평구</td>\n",
	970	+ " <td>4131</td>\n",
	971	+ " <td>14</td>\n",
	972	+ " <td>3.0</td>\n",
	973	+ " <td>44.0</td>\n",
	974	+ " <td>332</td>\n",
	975	+ " <td>329</td>\n",
	976	+ " <td>555</td>\n",
	977	+ " <td>403</td>\n",
	978	+ " <td>635</td>\n",
	979	+ " <td>1057</td>\n",
	980	+ " <td>288</td>\n",
	981	+ " <td>471</td>\n",
	982	+ " </tr>\n",
	983	+ " </tbody>\n",
	984	+ "</table>\n",
	985	+ "</div>"
	986	+ ],
	987	+ "text/plain": [
	988	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	989	+ "22 강남구 6871 69 67.0 66.0 580 830 1293 988 745 \n",
	990	+ "20 관악구 5149 440 84.0 431.0 439 609 622 688 674 \n",
	991	+ "16 구로구 4608 852 216.0 349.0 187 268 326 540 488 \n",
	992	+ "7 성북구 4602 81 78.0 170.0 229 322 594 890 867 \n",
	993	+ "11 은평구 4131 14 3.0 44.0 332 329 555 403 635 \n",
	994	+ "\n",
	995	+ " 2019년 2020년 2021년 \n",
	996	+ "22 791 926 516 \n",
	997	+ "20 595 331 236 \n",
	998	+ "16 434 415 533 \n",
	999	+ "7 714 253 404 \n",
	1000	+ "11 1057 288 471 "
	1001	+ ]
	1002	+ },
	1003	+ "execution_count": 44,
	1004	+ "metadata": {},
	1005	+ "output_type": "execute_result"
	1006	+ }
	1007	+ ],
	1008	+ "source": [
	1009	+ "cctvData.sort_values(by='총계', ascending=False).head()"
	1010	+ ]
	1011	+ },
	1012	+ {
	1013	+ "cell_type": "markdown",
	1014	+ "id": "c19ff9a5",
	1015	+ "metadata": {},
	1016	+ "source": [
	1017	+ "# 결측치 확인"
	1018	+ ]
	1019	+ },
	1020	+ {
	1021	+ "cell_type": "code",
	1022	+ "execution_count": 45,
	1023	+ "id": "f5ae607d",
	1024	+ "metadata": {
	1025	+ "scrolled": true
	1026	+ },
	1027	+ "outputs": [
	1028	+ {
	1029	+ "data": {
	1030	+ "text/html": [
	1031	+ "<div>\n",
	1032	+ "<style scoped>\n",
	1033	+ " .dataframe tbody tr th:only-of-type {\n",
	1034	+ " vertical-align: middle;\n",
	1035	+ " }\n",
	1036	+ "\n",
	1037	+ " .dataframe tbody tr th {\n",
	1038	+ " vertical-align: top;\n",
	1039	+ " }\n",
	1040	+ "\n",
	1041	+ " .dataframe thead th {\n",
	1042	+ " text-align: right;\n",
	1043	+ " }\n",
	1044	+ "</style>\n",
	1045	+ "<table border=\"1\" class=\"dataframe\">\n",
	1046	+ " <thead>\n",
	1047	+ " <tr style=\"text-align: right;\">\n",
	1048	+ " <th></th>\n",
	1049	+ " <th>구별</th>\n",
	1050	+ " <th>총계</th>\n",
	1051	+ " <th>2012년 이전</th>\n",
	1052	+ " <th>2012년</th>\n",
	1053	+ " <th>2013년</th>\n",
	1054	+ " <th>2014년</th>\n",
	1055	+ " <th>2015년</th>\n",
	1056	+ " <th>2016년</th>\n",
	1057	+ " <th>2017년</th>\n",
	1058	+ " <th>2018년</th>\n",
	1059	+ " <th>2019년</th>\n",
	1060	+ " <th>2020년</th>\n",
	1061	+ " <th>2021년</th>\n",
	1062	+ " </tr>\n",
	1063	+ " </thead>\n",
	1064	+ " <tbody>\n",
	1065	+ " <tr>\n",
	1066	+ " <th>0</th>\n",
	1067	+ " <td>False</td>\n",
	1068	+ " <td>False</td>\n",
	1069	+ " <td>False</td>\n",
	1070	+ " <td>True</td>\n",
	1071	+ " <td>True</td>\n",
	1072	+ " <td>False</td>\n",
	1073	+ " <td>False</td>\n",
	1074	+ " <td>False</td>\n",
	1075	+ " <td>False</td>\n",
	1076	+ " <td>False</td>\n",
	1077	+ " <td>False</td>\n",
	1078	+ " <td>False</td>\n",
	1079	+ " <td>False</td>\n",
	1080	+ " </tr>\n",
	1081	+ " <tr>\n",
	1082	+ " <th>1</th>\n",
	1083	+ " <td>False</td>\n",
	1084	+ " <td>False</td>\n",
	1085	+ " <td>False</td>\n",
	1086	+ " <td>False</td>\n",
	1087	+ " <td>False</td>\n",
	1088	+ " <td>False</td>\n",
	1089	+ " <td>False</td>\n",
	1090	+ " <td>False</td>\n",
	1091	+ " <td>False</td>\n",
	1092	+ " <td>False</td>\n",
	1093	+ " <td>False</td>\n",
	1094	+ " <td>False</td>\n",
	1095	+ " <td>False</td>\n",
	1096	+ " </tr>\n",
	1097	+ " <tr>\n",
	1098	+ " <th>2</th>\n",
	1099	+ " <td>False</td>\n",
	1100	+ " <td>False</td>\n",
	1101	+ " <td>False</td>\n",
	1102	+ " <td>False</td>\n",
	1103	+ " <td>False</td>\n",
	1104	+ " <td>False</td>\n",
	1105	+ " <td>False</td>\n",
	1106	+ " <td>False</td>\n",
	1107	+ " <td>False</td>\n",
	1108	+ " <td>False</td>\n",
	1109	+ " <td>False</td>\n",
	1110	+ " <td>False</td>\n",
	1111	+ " <td>False</td>\n",
	1112	+ " </tr>\n",
	1113	+ " <tr>\n",
	1114	+ " <th>3</th>\n",
	1115	+ " <td>False</td>\n",
	1116	+ " <td>False</td>\n",
	1117	+ " <td>False</td>\n",
	1118	+ " <td>False</td>\n",
	1119	+ " <td>False</td>\n",
	1120	+ " <td>False</td>\n",
	1121	+ " <td>False</td>\n",
	1122	+ " <td>False</td>\n",
	1123	+ " <td>False</td>\n",
	1124	+ " <td>False</td>\n",
	1125	+ " <td>False</td>\n",
	1126	+ " <td>False</td>\n",
	1127	+ " <td>False</td>\n",
	1128	+ " </tr>\n",
	1129	+ " <tr>\n",
	1130	+ " <th>4</th>\n",
	1131	+ " <td>False</td>\n",
	1132	+ " <td>False</td>\n",
	1133	+ " <td>False</td>\n",
	1134	+ " <td>False</td>\n",
	1135	+ " <td>False</td>\n",
	1136	+ " <td>False</td>\n",
	1137	+ " <td>False</td>\n",
	1138	+ " <td>False</td>\n",
	1139	+ " <td>False</td>\n",
	1140	+ " <td>False</td>\n",
	1141	+ " <td>False</td>\n",
	1142	+ " <td>False</td>\n",
	1143	+ " <td>False</td>\n",
	1144	+ " </tr>\n",
	1145	+ " </tbody>\n",
	1146	+ "</table>\n",
	1147	+ "</div>"
	1148	+ ],
	1149	+ "text/plain": [
	1150	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	1151	+ "0 False False False True True False False False False False \n",
	1152	+ "1 False False False False False False False False False False \n",
	1153	+ "2 False False False False False False False False False False \n",
	1154	+ "3 False False False False False False False False False False \n",
	1155	+ "4 False False False False False False False False False False \n",
	1156	+ "\n",
	1157	+ " 2019년 2020년 2021년 \n",
	1158	+ "0 False False False \n",
	1159	+ "1 False False False \n",
	1160	+ "2 False False False \n",
	1161	+ "3 False False False \n",
	1162	+ "4 False False False "
	1163	+ ]
	1164	+ },
	1165	+ "execution_count": 45,
	1166	+ "metadata": {},
	1167	+ "output_type": "execute_result"
	1168	+ }
	1169	+ ],
	1170	+ "source": [
	1171	+ "cctvData.isnull().head()"
	1172	+ ]
	1173	+ },
	1174	+ {
	1175	+ "cell_type": "markdown",
	1176	+ "id": "8870c6b9",
	1177	+ "metadata": {},
	1178	+ "source": [
	1179	+ "# 결측치 -> 0"
	1180	+ ]
	1181	+ },
	1182	+ {
	1183	+ "cell_type": "code",
	1184	+ "execution_count": 46,
	1185	+ "id": "0a55bfc0",
	1186	+ "metadata": {},
	1187	+ "outputs": [],
	1188	+ "source": [
	1189	+ "cctvData = cctvData.fillna(0)"
	1190	+ ]
	1191	+ },
	1192	+ {
	1193	+ "cell_type": "code",
	1194	+ "execution_count": 47,
	1195	+ "id": "2d93fa68",
	1196	+ "metadata": {},
	1197	+ "outputs": [
	1198	+ {
	1199	+ "data": {
	1200	+ "text/html": [
	1201	+ "<div>\n",
	1202	+ "<style scoped>\n",
	1203	+ " .dataframe tbody tr th:only-of-type {\n",
	1204	+ " vertical-align: middle;\n",
	1205	+ " }\n",
	1206	+ "\n",
	1207	+ " .dataframe tbody tr th {\n",
	1208	+ " vertical-align: top;\n",
	1209	+ " }\n",
	1210	+ "\n",
	1211	+ " .dataframe thead th {\n",
	1212	+ " text-align: right;\n",
	1213	+ " }\n",
	1214	+ "</style>\n",
	1215	+ "<table border=\"1\" class=\"dataframe\">\n",
	1216	+ " <thead>\n",
	1217	+ " <tr style=\"text-align: right;\">\n",
	1218	+ " <th></th>\n",
	1219	+ " <th>구별</th>\n",
	1220	+ " <th>총계</th>\n",
	1221	+ " <th>2012년 이전</th>\n",
	1222	+ " <th>2012년</th>\n",
	1223	+ " <th>2013년</th>\n",
	1224	+ " <th>2014년</th>\n",
	1225	+ " <th>2015년</th>\n",
	1226	+ " <th>2016년</th>\n",
	1227	+ " <th>2017년</th>\n",
	1228	+ " <th>2018년</th>\n",
	1229	+ " <th>2019년</th>\n",
	1230	+ " <th>2020년</th>\n",
	1231	+ " <th>2021년</th>\n",
	1232	+ " </tr>\n",
	1233	+ " </thead>\n",
	1234	+ " <tbody>\n",
	1235	+ " <tr>\n",
	1236	+ " <th>0</th>\n",
	1237	+ " <td>종로구</td>\n",
	1238	+ " <td>1715</td>\n",
	1239	+ " <td>815</td>\n",
	1240	+ " <td>0.0</td>\n",
	1241	+ " <td>0.0</td>\n",
	1242	+ " <td>195</td>\n",
	1243	+ " <td>150</td>\n",
	1244	+ " <td>0</td>\n",
	1245	+ " <td>261</td>\n",
	1246	+ " <td>85</td>\n",
	1247	+ " <td>9</td>\n",
	1248	+ " <td>200</td>\n",
	1249	+ " <td>0</td>\n",
	1250	+ " </tr>\n",
	1251	+ " <tr>\n",
	1252	+ " <th>1</th>\n",
	1253	+ " <td>중구</td>\n",
	1254	+ " <td>2447</td>\n",
	1255	+ " <td>16</td>\n",
	1256	+ " <td>114.0</td>\n",
	1257	+ " <td>87.0</td>\n",
	1258	+ " <td>77</td>\n",
	1259	+ " <td>236</td>\n",
	1260	+ " <td>240</td>\n",
	1261	+ " <td>372</td>\n",
	1262	+ " <td>386</td>\n",
	1263	+ " <td>155</td>\n",
	1264	+ " <td>361</td>\n",
	1265	+ " <td>403</td>\n",
	1266	+ " </tr>\n",
	1267	+ " <tr>\n",
	1268	+ " <th>2</th>\n",
	1269	+ " <td>용산구</td>\n",
	1270	+ " <td>2611</td>\n",
	1271	+ " <td>34</td>\n",
	1272	+ " <td>71.0</td>\n",
	1273	+ " <td>234.0</td>\n",
	1274	+ " <td>125</td>\n",
	1275	+ " <td>221</td>\n",
	1276	+ " <td>298</td>\n",
	1277	+ " <td>351</td>\n",
	1278	+ " <td>125</td>\n",
	1279	+ " <td>307</td>\n",
	1280	+ " <td>617</td>\n",
	1281	+ " <td>228</td>\n",
	1282	+ " </tr>\n",
	1283	+ " <tr>\n",
	1284	+ " <th>3</th>\n",
	1285	+ " <td>성동구</td>\n",
	1286	+ " <td>3829</td>\n",
	1287	+ " <td>163</td>\n",
	1288	+ " <td>144.0</td>\n",
	1289	+ " <td>208.0</td>\n",
	1290	+ " <td>107</td>\n",
	1291	+ " <td>325</td>\n",
	1292	+ " <td>255</td>\n",
	1293	+ " <td>967</td>\n",
	1294	+ " <td>415</td>\n",
	1295	+ " <td>490</td>\n",
	1296	+ " <td>472</td>\n",
	1297	+ " <td>283</td>\n",
	1298	+ " </tr>\n",
	1299	+ " <tr>\n",
	1300	+ " <th>4</th>\n",
	1301	+ " <td>광진구</td>\n",
	1302	+ " <td>3211</td>\n",
	1303	+ " <td>35</td>\n",
	1304	+ " <td>57.0</td>\n",
	1305	+ " <td>100.0</td>\n",
	1306	+ " <td>187</td>\n",
	1307	+ " <td>98</td>\n",
	1308	+ " <td>52</td>\n",
	1309	+ " <td>675</td>\n",
	1310	+ " <td>465</td>\n",
	1311	+ " <td>712</td>\n",
	1312	+ " <td>175</td>\n",
	1313	+ " <td>655</td>\n",
	1314	+ " </tr>\n",
	1315	+ " </tbody>\n",
	1316	+ "</table>\n",
	1317	+ "</div>"
	1318	+ ],
	1319	+ "text/plain": [
	1320	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	1321	+ "0 종로구 1715 815 0.0 0.0 195 150 0 261 85 \n",
	1322	+ "1 중구 2447 16 114.0 87.0 77 236 240 372 386 \n",
	1323	+ "2 용산구 2611 34 71.0 234.0 125 221 298 351 125 \n",
	1324	+ "3 성동구 3829 163 144.0 208.0 107 325 255 967 415 \n",
	1325	+ "4 광진구 3211 35 57.0 100.0 187 98 52 675 465 \n",
	1326	+ "\n",
	1327	+ " 2019년 2020년 2021년 \n",
	1328	+ "0 9 200 0 \n",
	1329	+ "1 155 361 403 \n",
	1330	+ "2 307 617 228 \n",
	1331	+ "3 490 472 283 \n",
	1332	+ "4 712 175 655 "
	1333	+ ]
	1334	+ },
	1335	+ "execution_count": 47,
	1336	+ "metadata": {},
	1337	+ "output_type": "execute_result"
	1338	+ }
	1339	+ ],
	1340	+ "source": [
	1341	+ "cctvData.head()"
	1342	+ ]
	1343	+ },
	1344	+ {
	1345	+ "cell_type": "code",
	1346	+ "execution_count": 48,
	1347	+ "id": "154242e7",
	1348	+ "metadata": {},
	1349	+ "outputs": [],
	1350	+ "source": [
	1351	+ "for col in cctvData.columns:\n",
	1352	+ " if col == '구별':\n",
	1353	+ " continue\n",
	1354	+ " else:\n",
	1355	+ " cctvData[col] = pd.to_numeric(cctvData[col])"
	1356	+ ]
	1357	+ },
	1358	+ {
	1359	+ "cell_type": "code",
	1360	+ "execution_count": 49,
	1361	+ "id": "326eedd9",
	1362	+ "metadata": {
	1363	+ "scrolled": true
	1364	+ },
	1365	+ "outputs": [],
	1366	+ "source": [
	1367	+ "cctvData['최근증가율'] = ( (cctvData['2021년'] + cctvData['2020년'] + cctvData['2019년'] + cctvData['2018년'] + cctvData['2017년']) / (cctvData['2016년'] + cctvData['2015년'] + cctvData['2014년'] + cctvData['2013년'] + cctvData['2012년'] + cctvData['2012년 이전']) ) * 100"
	1368	+ ]
	1369	+ },
	1370	+ {
	1371	+ "cell_type": "code",
	1372	+ "execution_count": 50,
	1373	+ "id": "ae114acf",
	1374	+ "metadata": {},
	1375	+ "outputs": [
	1376	+ {
	1377	+ "data": {
	1378	+ "text/html": [
	1379	+ "<div>\n",
	1380	+ "<style scoped>\n",
	1381	+ " .dataframe tbody tr th:only-of-type {\n",
	1382	+ " vertical-align: middle;\n",
	1383	+ " }\n",
	1384	+ "\n",
	1385	+ " .dataframe tbody tr th {\n",
	1386	+ " vertical-align: top;\n",
	1387	+ " }\n",
	1388	+ "\n",
	1389	+ " .dataframe thead th {\n",
	1390	+ " text-align: right;\n",
	1391	+ " }\n",
	1392	+ "</style>\n",
	1393	+ "<table border=\"1\" class=\"dataframe\">\n",
	1394	+ " <thead>\n",
	1395	+ " <tr style=\"text-align: right;\">\n",
	1396	+ " <th></th>\n",
	1397	+ " <th>구별</th>\n",
	1398	+ " <th>총계</th>\n",
	1399	+ " <th>2012년 이전</th>\n",
	1400	+ " <th>2012년</th>\n",
	1401	+ " <th>2013년</th>\n",
	1402	+ " <th>2014년</th>\n",
	1403	+ " <th>2015년</th>\n",
	1404	+ " <th>2016년</th>\n",
	1405	+ " <th>2017년</th>\n",
	1406	+ " <th>2018년</th>\n",
	1407	+ " <th>2019년</th>\n",
	1408	+ " <th>2020년</th>\n",
	1409	+ " <th>2021년</th>\n",
	1410	+ " <th>최근증가율</th>\n",
	1411	+ " </tr>\n",
	1412	+ " </thead>\n",
	1413	+ " <tbody>\n",
	1414	+ " <tr>\n",
	1415	+ " <th>0</th>\n",
	1416	+ " <td>종로구</td>\n",
	1417	+ " <td>1715</td>\n",
	1418	+ " <td>815</td>\n",
	1419	+ " <td>0.0</td>\n",
	1420	+ " <td>0.0</td>\n",
	1421	+ " <td>195</td>\n",
	1422	+ " <td>150</td>\n",
	1423	+ " <td>0</td>\n",
	1424	+ " <td>261</td>\n",
	1425	+ " <td>85</td>\n",
	1426	+ " <td>9</td>\n",
	1427	+ " <td>200</td>\n",
	1428	+ " <td>0</td>\n",
	1429	+ " <td>47.844828</td>\n",
	1430	+ " </tr>\n",
	1431	+ " <tr>\n",
	1432	+ " <th>1</th>\n",
	1433	+ " <td>중구</td>\n",
	1434	+ " <td>2447</td>\n",
	1435	+ " <td>16</td>\n",
	1436	+ " <td>114.0</td>\n",
	1437	+ " <td>87.0</td>\n",
	1438	+ " <td>77</td>\n",
	1439	+ " <td>236</td>\n",
	1440	+ " <td>240</td>\n",
	1441	+ " <td>372</td>\n",
	1442	+ " <td>386</td>\n",
	1443	+ " <td>155</td>\n",
	1444	+ " <td>361</td>\n",
	1445	+ " <td>403</td>\n",
	1446	+ " <td>217.792208</td>\n",
	1447	+ " </tr>\n",
	1448	+ " <tr>\n",
	1449	+ " <th>2</th>\n",
	1450	+ " <td>용산구</td>\n",
	1451	+ " <td>2611</td>\n",
	1452	+ " <td>34</td>\n",
	1453	+ " <td>71.0</td>\n",
	1454	+ " <td>234.0</td>\n",
	1455	+ " <td>125</td>\n",
	1456	+ " <td>221</td>\n",
	1457	+ " <td>298</td>\n",
	1458	+ " <td>351</td>\n",
	1459	+ " <td>125</td>\n",
	1460	+ " <td>307</td>\n",
	1461	+ " <td>617</td>\n",
	1462	+ " <td>228</td>\n",
	1463	+ " <td>165.615463</td>\n",
	1464	+ " </tr>\n",
	1465	+ " <tr>\n",
	1466	+ " <th>3</th>\n",
	1467	+ " <td>성동구</td>\n",
	1468	+ " <td>3829</td>\n",
	1469	+ " <td>163</td>\n",
	1470	+ " <td>144.0</td>\n",
	1471	+ " <td>208.0</td>\n",
	1472	+ " <td>107</td>\n",
	1473	+ " <td>325</td>\n",
	1474	+ " <td>255</td>\n",
	1475	+ " <td>967</td>\n",
	1476	+ " <td>415</td>\n",
	1477	+ " <td>490</td>\n",
	1478	+ " <td>472</td>\n",
	1479	+ " <td>283</td>\n",
	1480	+ " <td>218.552413</td>\n",
	1481	+ " </tr>\n",
	1482	+ " <tr>\n",
	1483	+ " <th>4</th>\n",
	1484	+ " <td>광진구</td>\n",
	1485	+ " <td>3211</td>\n",
	1486	+ " <td>35</td>\n",
	1487	+ " <td>57.0</td>\n",
	1488	+ " <td>100.0</td>\n",
	1489	+ " <td>187</td>\n",
	1490	+ " <td>98</td>\n",
	1491	+ " <td>52</td>\n",
	1492	+ " <td>675</td>\n",
	1493	+ " <td>465</td>\n",
	1494	+ " <td>712</td>\n",
	1495	+ " <td>175</td>\n",
	1496	+ " <td>655</td>\n",
	1497	+ " <td>506.994329</td>\n",
	1498	+ " </tr>\n",
	1499	+ " </tbody>\n",
	1500	+ "</table>\n",
	1501	+ "</div>"
	1502	+ ],
	1503	+ "text/plain": [
	1504	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	1505	+ "0 종로구 1715 815 0.0 0.0 195 150 0 261 85 \n",
	1506	+ "1 중구 2447 16 114.0 87.0 77 236 240 372 386 \n",
	1507	+ "2 용산구 2611 34 71.0 234.0 125 221 298 351 125 \n",
	1508	+ "3 성동구 3829 163 144.0 208.0 107 325 255 967 415 \n",
	1509	+ "4 광진구 3211 35 57.0 100.0 187 98 52 675 465 \n",
	1510	+ "\n",
	1511	+ " 2019년 2020년 2021년 최근증가율 \n",
	1512	+ "0 9 200 0 47.844828 \n",
	1513	+ "1 155 361 403 217.792208 \n",
	1514	+ "2 307 617 228 165.615463 \n",
	1515	+ "3 490 472 283 218.552413 \n",
	1516	+ "4 712 175 655 506.994329 "
	1517	+ ]
	1518	+ },
	1519	+ "execution_count": 50,
	1520	+ "metadata": {},
	1521	+ "output_type": "execute_result"
	1522	+ }
	1523	+ ],
	1524	+ "source": [
	1525	+ "cctvData.head()"
	1526	+ ]
	1527	+ },
	1528	+ {
	1529	+ "cell_type": "code",
	1530	+ "execution_count": 51,
	1531	+ "id": "989c4761",
	1532	+ "metadata": {},
	1533	+ "outputs": [],
	1534	+ "source": [
	1535	+ "popData.drop(0, inplace=True)"
	1536	+ ]
	1537	+ },
	1538	+ {
	1539	+ "cell_type": "code",
	1540	+ "execution_count": 52,
	1541	+ "id": "dd336bb1",
	1542	+ "metadata": {},
	1543	+ "outputs": [
	1544	+ {
	1545	+ "data": {
	1546	+ "text/html": [
	1547	+ "<div>\n",
	1548	+ "<style scoped>\n",
	1549	+ " .dataframe tbody tr th:only-of-type {\n",
	1550	+ " vertical-align: middle;\n",
	1551	+ " }\n",
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	1553	+ " .dataframe tbody tr th {\n",
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	1555	+ " }\n",
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	1560	+ "</style>\n",
	1561	+ "<table border=\"1\" class=\"dataframe\">\n",
	1562	+ " <thead>\n",
	1563	+ " <tr style=\"text-align: right;\">\n",
	1564	+ " <th></th>\n",
	1565	+ " <th>구별</th>\n",
	1566	+ " <th>인구수</th>\n",
	1567	+ " <th>한국인</th>\n",
	1568	+ " <th>외국인</th>\n",
	1569	+ " <th>고령자</th>\n",
	1570	+ " </tr>\n",
	1571	+ " </thead>\n",
	1572	+ " <tbody>\n",
	1573	+ " <tr>\n",
	1574	+ " <th>1</th>\n",
	1575	+ " <td>종로구</td>\n",
	1576	+ " <td>153789</td>\n",
	1577	+ " <td>144683</td>\n",
	1578	+ " <td>9106</td>\n",
	1579	+ " <td>27818</td>\n",
	1580	+ " </tr>\n",
	1581	+ " <tr>\n",
	1582	+ " <th>2</th>\n",
	1583	+ " <td>중구</td>\n",
	1584	+ " <td>131787</td>\n",
	1585	+ " <td>122499</td>\n",
	1586	+ " <td>9288</td>\n",
	1587	+ " <td>24392</td>\n",
	1588	+ " </tr>\n",
	1589	+ " <tr>\n",
	1590	+ " <th>3</th>\n",
	1591	+ " <td>용산구</td>\n",
	1592	+ " <td>237285</td>\n",
	1593	+ " <td>222953</td>\n",
	1594	+ " <td>14332</td>\n",
	1595	+ " <td>39070</td>\n",
	1596	+ " </tr>\n",
	1597	+ " <tr>\n",
	1598	+ " <th>4</th>\n",
	1599	+ " <td>성동구</td>\n",
	1600	+ " <td>292672</td>\n",
	1601	+ " <td>285990</td>\n",
	1602	+ " <td>6682</td>\n",
	1603	+ " <td>46380</td>\n",
	1604	+ " </tr>\n",
	1605	+ " <tr>\n",
	1606	+ " <th>5</th>\n",
	1607	+ " <td>광진구</td>\n",
	1608	+ " <td>352627</td>\n",
	1609	+ " <td>339996</td>\n",
	1610	+ " <td>12631</td>\n",
	1611	+ " <td>51723</td>\n",
	1612	+ " </tr>\n",
	1613	+ " </tbody>\n",
	1614	+ "</table>\n",
	1615	+ "</div>"
	1616	+ ],
	1617	+ "text/plain": [
	1618	+ " 구별 인구수 한국인 외국인 고령자\n",
	1619	+ "1 종로구 153789 144683 9106 27818\n",
	1620	+ "2 중구 131787 122499 9288 24392\n",
	1621	+ "3 용산구 237285 222953 14332 39070\n",
	1622	+ "4 성동구 292672 285990 6682 46380\n",
	1623	+ "5 광진구 352627 339996 12631 51723"
	1624	+ ]
	1625	+ },
	1626	+ "execution_count": 52,
	1627	+ "metadata": {},
	1628	+ "output_type": "execute_result"
	1629	+ }
	1630	+ ],
	1631	+ "source": [
	1632	+ "popData.head()"
	1633	+ ]
	1634	+ },
	1635	+ {
	1636	+ "cell_type": "code",
	1637	+ "execution_count": 53,
	1638	+ "id": "90558ebd",
	1639	+ "metadata": {},
	1640	+ "outputs": [],
	1641	+ "source": [
	1642	+ "popData.reset_index(inplace=True)"
	1643	+ ]
	1644	+ },
	1645	+ {
	1646	+ "cell_type": "code",
	1647	+ "execution_count": 54,
	1648	+ "id": "d6567617",
	1649	+ "metadata": {},
	1650	+ "outputs": [
	1651	+ {
	1652	+ "data": {
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	1668	+ "<table border=\"1\" class=\"dataframe\">\n",
	1669	+ " <thead>\n",
	1670	+ " <tr style=\"text-align: right;\">\n",
	1671	+ " <th></th>\n",
	1672	+ " <th>index</th>\n",
	1673	+ " <th>구별</th>\n",
	1674	+ " <th>인구수</th>\n",
	1675	+ " <th>한국인</th>\n",
	1676	+ " <th>외국인</th>\n",
	1677	+ " <th>고령자</th>\n",
	1678	+ " </tr>\n",
	1679	+ " </thead>\n",
	1680	+ " <tbody>\n",
	1681	+ " <tr>\n",
	1682	+ " <th>0</th>\n",
	1683	+ " <td>1</td>\n",
	1684	+ " <td>종로구</td>\n",
	1685	+ " <td>153789</td>\n",
	1686	+ " <td>144683</td>\n",
	1687	+ " <td>9106</td>\n",
	1688	+ " <td>27818</td>\n",
	1689	+ " </tr>\n",
	1690	+ " <tr>\n",
	1691	+ " <th>1</th>\n",
	1692	+ " <td>2</td>\n",
	1693	+ " <td>중구</td>\n",
	1694	+ " <td>131787</td>\n",
	1695	+ " <td>122499</td>\n",
	1696	+ " <td>9288</td>\n",
	1697	+ " <td>24392</td>\n",
	1698	+ " </tr>\n",
	1699	+ " <tr>\n",
	1700	+ " <th>2</th>\n",
	1701	+ " <td>3</td>\n",
	1702	+ " <td>용산구</td>\n",
	1703	+ " <td>237285</td>\n",
	1704	+ " <td>222953</td>\n",
	1705	+ " <td>14332</td>\n",
	1706	+ " <td>39070</td>\n",
	1707	+ " </tr>\n",
	1708	+ " <tr>\n",
	1709	+ " <th>3</th>\n",
	1710	+ " <td>4</td>\n",
	1711	+ " <td>성동구</td>\n",
	1712	+ " <td>292672</td>\n",
	1713	+ " <td>285990</td>\n",
	1714	+ " <td>6682</td>\n",
	1715	+ " <td>46380</td>\n",
	1716	+ " </tr>\n",
	1717	+ " <tr>\n",
	1718	+ " <th>4</th>\n",
	1719	+ " <td>5</td>\n",
	1720	+ " <td>광진구</td>\n",
	1721	+ " <td>352627</td>\n",
	1722	+ " <td>339996</td>\n",
	1723	+ " <td>12631</td>\n",
	1724	+ " <td>51723</td>\n",
	1725	+ " </tr>\n",
	1726	+ " </tbody>\n",
	1727	+ "</table>\n",
	1728	+ "</div>"
	1729	+ ],
	1730	+ "text/plain": [
	1731	+ " index 구별 인구수 한국인 외국인 고령자\n",
	1732	+ "0 1 종로구 153789 144683 9106 27818\n",
	1733	+ "1 2 중구 131787 122499 9288 24392\n",
	1734	+ "2 3 용산구 237285 222953 14332 39070\n",
	1735	+ "3 4 성동구 292672 285990 6682 46380\n",
	1736	+ "4 5 광진구 352627 339996 12631 51723"
	1737	+ ]
	1738	+ },
	1739	+ "execution_count": 54,
	1740	+ "metadata": {},
	1741	+ "output_type": "execute_result"
	1742	+ }
	1743	+ ],
	1744	+ "source": [
	1745	+ "popData.head()"
	1746	+ ]
	1747	+ },
	1748	+ {
	1749	+ "cell_type": "code",
	1750	+ "execution_count": 55,
	1751	+ "id": "3b2078b6",
	1752	+ "metadata": {},
	1753	+ "outputs": [],
	1754	+ "source": [
	1755	+ "popData.drop(columns='index', inplace=True)"
	1756	+ ]
	1757	+ },
	1758	+ {
	1759	+ "cell_type": "code",
	1760	+ "execution_count": 56,
	1761	+ "id": "5df44162",
	1762	+ "metadata": {},
	1763	+ "outputs": [
	1764	+ {
	1765	+ "data": {
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	1767	+ "<div>\n",
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	1782	+ " <thead>\n",
	1783	+ " <tr style=\"text-align: right;\">\n",
	1784	+ " <th></th>\n",
	1785	+ " <th>구별</th>\n",
	1786	+ " <th>인구수</th>\n",
	1787	+ " <th>한국인</th>\n",
	1788	+ " <th>외국인</th>\n",
	1789	+ " <th>고령자</th>\n",
	1790	+ " </tr>\n",
	1791	+ " </thead>\n",
	1792	+ " <tbody>\n",
	1793	+ " <tr>\n",
	1794	+ " <th>0</th>\n",
	1795	+ " <td>종로구</td>\n",
	1796	+ " <td>153789</td>\n",
	1797	+ " <td>144683</td>\n",
	1798	+ " <td>9106</td>\n",
	1799	+ " <td>27818</td>\n",
	1800	+ " </tr>\n",
	1801	+ " <tr>\n",
	1802	+ " <th>1</th>\n",
	1803	+ " <td>중구</td>\n",
	1804	+ " <td>131787</td>\n",
	1805	+ " <td>122499</td>\n",
	1806	+ " <td>9288</td>\n",
	1807	+ " <td>24392</td>\n",
	1808	+ " </tr>\n",
	1809	+ " <tr>\n",
	1810	+ " <th>2</th>\n",
	1811	+ " <td>용산구</td>\n",
	1812	+ " <td>237285</td>\n",
	1813	+ " <td>222953</td>\n",
	1814	+ " <td>14332</td>\n",
	1815	+ " <td>39070</td>\n",
	1816	+ " </tr>\n",
	1817	+ " <tr>\n",
	1818	+ " <th>3</th>\n",
	1819	+ " <td>성동구</td>\n",
	1820	+ " <td>292672</td>\n",
	1821	+ " <td>285990</td>\n",
	1822	+ " <td>6682</td>\n",
	1823	+ " <td>46380</td>\n",
	1824	+ " </tr>\n",
	1825	+ " <tr>\n",
	1826	+ " <th>4</th>\n",
	1827	+ " <td>광진구</td>\n",
	1828	+ " <td>352627</td>\n",
	1829	+ " <td>339996</td>\n",
	1830	+ " <td>12631</td>\n",
	1831	+ " <td>51723</td>\n",
	1832	+ " </tr>\n",
	1833	+ " </tbody>\n",
	1834	+ "</table>\n",
	1835	+ "</div>"
	1836	+ ],
	1837	+ "text/plain": [
	1838	+ " 구별 인구수 한국인 외국인 고령자\n",
	1839	+ "0 종로구 153789 144683 9106 27818\n",
	1840	+ "1 중구 131787 122499 9288 24392\n",
	1841	+ "2 용산구 237285 222953 14332 39070\n",
	1842	+ "3 성동구 292672 285990 6682 46380\n",
	1843	+ "4 광진구 352627 339996 12631 51723"
	1844	+ ]
	1845	+ },
	1846	+ "execution_count": 56,
	1847	+ "metadata": {},
	1848	+ "output_type": "execute_result"
	1849	+ }
	1850	+ ],
	1851	+ "source": [
	1852	+ "popData.head()"
	1853	+ ]
	1854	+ },
	1855	+ {
	1856	+ "cell_type": "code",
	1857	+ "execution_count": 61,
	1858	+ "id": "5eeb7eef",
	1859	+ "metadata": {},
	1860	+ "outputs": [],
	1861	+ "source": [
	1862	+ "popData['외국인비율'] = ((popData['외국인'] / popData['인구수'])) *100\n",
	1863	+ "popData['고령자비율'] = ((popData['고령자'] / popData['인구수'])) * 100"
	1864	+ ]
	1865	+ },
	1866	+ {
	1867	+ "cell_type": "code",
	1868	+ "execution_count": 62,
	1869	+ "id": "68762fc0",
	1870	+ "metadata": {},
	1871	+ "outputs": [
	1872	+ {
	1873	+ "data": {
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	1875	+ "<div>\n",
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	1877	+ " .dataframe tbody tr th:only-of-type {\n",
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	1888	+ "</style>\n",
	1889	+ "<table border=\"1\" class=\"dataframe\">\n",
	1890	+ " <thead>\n",
	1891	+ " <tr style=\"text-align: right;\">\n",
	1892	+ " <th></th>\n",
	1893	+ " <th>구별</th>\n",
	1894	+ " <th>인구수</th>\n",
	1895	+ " <th>한국인</th>\n",
	1896	+ " <th>외국인</th>\n",
	1897	+ " <th>고령자</th>\n",
	1898	+ " <th>외국인비율</th>\n",
	1899	+ " <th>고령자비율</th>\n",
	1900	+ " </tr>\n",
	1901	+ " </thead>\n",
	1902	+ " <tbody>\n",
	1903	+ " <tr>\n",
	1904	+ " <th>0</th>\n",
	1905	+ " <td>종로구</td>\n",
	1906	+ " <td>153789</td>\n",
	1907	+ " <td>144683</td>\n",
	1908	+ " <td>9106</td>\n",
	1909	+ " <td>27818</td>\n",
	1910	+ " <td>5.921100</td>\n",
	1911	+ " <td>18.088420</td>\n",
	1912	+ " </tr>\n",
	1913	+ " <tr>\n",
	1914	+ " <th>1</th>\n",
	1915	+ " <td>중구</td>\n",
	1916	+ " <td>131787</td>\n",
	1917	+ " <td>122499</td>\n",
	1918	+ " <td>9288</td>\n",
	1919	+ " <td>24392</td>\n",
	1920	+ " <td>7.047736</td>\n",
	1921	+ " <td>18.508654</td>\n",
	1922	+ " </tr>\n",
	1923	+ " <tr>\n",
	1924	+ " <th>2</th>\n",
	1925	+ " <td>용산구</td>\n",
	1926	+ " <td>237285</td>\n",
	1927	+ " <td>222953</td>\n",
	1928	+ " <td>14332</td>\n",
	1929	+ " <td>39070</td>\n",
	1930	+ " <td>6.039994</td>\n",
	1931	+ " <td>16.465432</td>\n",
	1932	+ " </tr>\n",
	1933	+ " <tr>\n",
	1934	+ " <th>3</th>\n",
	1935	+ " <td>성동구</td>\n",
	1936	+ " <td>292672</td>\n",
	1937	+ " <td>285990</td>\n",
	1938	+ " <td>6682</td>\n",
	1939	+ " <td>46380</td>\n",
	1940	+ " <td>2.283102</td>\n",
	1941	+ " <td>15.847092</td>\n",
	1942	+ " </tr>\n",
	1943	+ " <tr>\n",
	1944	+ " <th>4</th>\n",
	1945	+ " <td>광진구</td>\n",
	1946	+ " <td>352627</td>\n",
	1947	+ " <td>339996</td>\n",
	1948	+ " <td>12631</td>\n",
	1949	+ " <td>51723</td>\n",
	1950	+ " <td>3.581972</td>\n",
	1951	+ " <td>14.667907</td>\n",
	1952	+ " </tr>\n",
	1953	+ " </tbody>\n",
	1954	+ "</table>\n",
	1955	+ "</div>"
	1956	+ ],
	1957	+ "text/plain": [
	1958	+ " 구별 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n",
	1959	+ "0 종로구 153789 144683 9106 27818 5.921100 18.088420\n",
	1960	+ "1 중구 131787 122499 9288 24392 7.047736 18.508654\n",
	1961	+ "2 용산구 237285 222953 14332 39070 6.039994 16.465432\n",
	1962	+ "3 성동구 292672 285990 6682 46380 2.283102 15.847092\n",
	1963	+ "4 광진구 352627 339996 12631 51723 3.581972 14.667907"
	1964	+ ]
	1965	+ },
	1966	+ "execution_count": 62,
	1967	+ "metadata": {},
	1968	+ "output_type": "execute_result"
	1969	+ }
	1970	+ ],
	1971	+ "source": [
	1972	+ "popData.head()"
	1973	+ ]
	1974	+ },
	1975	+ {
	1976	+ "cell_type": "code",
	1977	+ "execution_count": 64,
	1978	+ "id": "e185b622",
	1979	+ "metadata": {
	1980	+ "scrolled": true
	1981	+ },
	1982	+ "outputs": [
	1983	+ {
	1984	+ "data": {
	1985	+ "text/html": [
	1986	+ "<div>\n",
	1987	+ "<style scoped>\n",
	1988	+ " .dataframe tbody tr th:only-of-type {\n",
	1989	+ " vertical-align: middle;\n",
	1990	+ " }\n",
	1991	+ "\n",
	1992	+ " .dataframe tbody tr th {\n",
	1993	+ " vertical-align: top;\n",
	1994	+ " }\n",
	1995	+ "\n",
	1996	+ " .dataframe thead th {\n",
	1997	+ " text-align: right;\n",
	1998	+ " }\n",
	1999	+ "</style>\n",
	2000	+ "<table border=\"1\" class=\"dataframe\">\n",
	2001	+ " <thead>\n",
	2002	+ " <tr style=\"text-align: right;\">\n",
	2003	+ " <th></th>\n",
	2004	+ " <th>구별</th>\n",
	2005	+ " <th>인구수</th>\n",
	2006	+ " <th>한국인</th>\n",
	2007	+ " <th>외국인</th>\n",
	2008	+ " <th>고령자</th>\n",
	2009	+ " <th>외국인비율</th>\n",
	2010	+ " <th>고령자비율</th>\n",
	2011	+ " </tr>\n",
	2012	+ " </thead>\n",
	2013	+ " <tbody>\n",
	2014	+ " <tr>\n",
	2015	+ " <th>23</th>\n",
	2016	+ " <td>송파구</td>\n",
	2017	+ " <td>663965</td>\n",
	2018	+ " <td>658338</td>\n",
	2019	+ " <td>5627</td>\n",
	2020	+ " <td>97691</td>\n",
	2021	+ " <td>0.847484</td>\n",
	2022	+ " <td>14.713276</td>\n",
	2023	+ " </tr>\n",
	2024	+ " <tr>\n",
	2025	+ " <th>15</th>\n",
	2026	+ " <td>강서구</td>\n",
	2027	+ " <td>579768</td>\n",
	2028	+ " <td>574315</td>\n",
	2029	+ " <td>5453</td>\n",
	2030	+ " <td>92558</td>\n",
	2031	+ " <td>0.940549</td>\n",
	2032	+ " <td>15.964662</td>\n",
	2033	+ " </tr>\n",
	2034	+ " <tr>\n",
	2035	+ " <th>22</th>\n",
	2036	+ " <td>강남구</td>\n",
	2037	+ " <td>537800</td>\n",
	2038	+ " <td>533042</td>\n",
	2039	+ " <td>4758</td>\n",
	2040	+ " <td>78226</td>\n",
	2041	+ " <td>0.884716</td>\n",
	2042	+ " <td>14.545556</td>\n",
	2043	+ " </tr>\n",
	2044	+ " <tr>\n",
	2045	+ " <th>10</th>\n",
	2046	+ " <td>노원구</td>\n",
	2047	+ " <td>514946</td>\n",
	2048	+ " <td>510956</td>\n",
	2049	+ " <td>3990</td>\n",
	2050	+ " <td>88345</td>\n",
	2051	+ " <td>0.774839</td>\n",
	2052	+ " <td>17.156168</td>\n",
	2053	+ " </tr>\n",
	2054	+ " <tr>\n",
	2055	+ " <th>20</th>\n",
	2056	+ " <td>관악구</td>\n",
	2057	+ " <td>499449</td>\n",
	2058	+ " <td>485699</td>\n",
	2059	+ " <td>13750</td>\n",
	2060	+ " <td>79871</td>\n",
	2061	+ " <td>2.753034</td>\n",
	2062	+ " <td>15.991823</td>\n",
	2063	+ " </tr>\n",
	2064	+ " </tbody>\n",
	2065	+ "</table>\n",
	2066	+ "</div>"
	2067	+ ],
	2068	+ "text/plain": [
	2069	+ " 구별 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n",
	2070	+ "23 송파구 663965 658338 5627 97691 0.847484 14.713276\n",
	2071	+ "15 강서구 579768 574315 5453 92558 0.940549 15.964662\n",
	2072	+ "22 강남구 537800 533042 4758 78226 0.884716 14.545556\n",
	2073	+ "10 노원구 514946 510956 3990 88345 0.774839 17.156168\n",
	2074	+ "20 관악구 499449 485699 13750 79871 2.753034 15.991823"
	2075	+ ]
	2076	+ },
	2077	+ "execution_count": 64,
	2078	+ "metadata": {},
	2079	+ "output_type": "execute_result"
	2080	+ }
	2081	+ ],
	2082	+ "source": [
	2083	+ "popData.sort_values(by = '인구수', ascending=False).head()"
	2084	+ ]
	2085	+ },
	2086	+ {
	2087	+ "cell_type": "code",
	2088	+ "execution_count": 68,
	2089	+ "id": "42fe3110",
	2090	+ "metadata": {},
	2091	+ "outputs": [
	2092	+ {
	2093	+ "data": {
	2094	+ "text/html": [
	2095	+ "<div>\n",
	2096	+ "<style scoped>\n",
	2097	+ " .dataframe tbody tr th:only-of-type {\n",
	2098	+ " vertical-align: middle;\n",
	2099	+ " }\n",
	2100	+ "\n",
	2101	+ " .dataframe tbody tr th {\n",
	2102	+ " vertical-align: top;\n",
	2103	+ " }\n",
	2104	+ "\n",
	2105	+ " .dataframe thead th {\n",
	2106	+ " text-align: right;\n",
	2107	+ " }\n",
	2108	+ "</style>\n",
	2109	+ "<table border=\"1\" class=\"dataframe\">\n",
	2110	+ " <thead>\n",
	2111	+ " <tr style=\"text-align: right;\">\n",
	2112	+ " <th></th>\n",
	2113	+ " <th>구별</th>\n",
	2114	+ " <th>인구수</th>\n",
	2115	+ " <th>한국인</th>\n",
	2116	+ " <th>외국인</th>\n",
	2117	+ " <th>고령자</th>\n",
	2118	+ " <th>외국인비율</th>\n",
	2119	+ " <th>고령자비율</th>\n",
	2120	+ " </tr>\n",
	2121	+ " </thead>\n",
	2122	+ " <tbody>\n",
	2123	+ " <tr>\n",
	2124	+ " <th>23</th>\n",
	2125	+ " <td>송파구</td>\n",
	2126	+ " <td>663965</td>\n",
	2127	+ " <td>658338</td>\n",
	2128	+ " <td>5627</td>\n",
	2129	+ " <td>97691</td>\n",
	2130	+ " <td>0.847484</td>\n",
	2131	+ " <td>14.713276</td>\n",
	2132	+ " </tr>\n",
	2133	+ " <tr>\n",
	2134	+ " <th>15</th>\n",
	2135	+ " <td>강서구</td>\n",
	2136	+ " <td>579768</td>\n",
	2137	+ " <td>574315</td>\n",
	2138	+ " <td>5453</td>\n",
	2139	+ " <td>92558</td>\n",
	2140	+ " <td>0.940549</td>\n",
	2141	+ " <td>15.964662</td>\n",
	2142	+ " </tr>\n",
	2143	+ " <tr>\n",
	2144	+ " <th>10</th>\n",
	2145	+ " <td>노원구</td>\n",
	2146	+ " <td>514946</td>\n",
	2147	+ " <td>510956</td>\n",
	2148	+ " <td>3990</td>\n",
	2149	+ " <td>88345</td>\n",
	2150	+ " <td>0.774839</td>\n",
	2151	+ " <td>17.156168</td>\n",
	2152	+ " </tr>\n",
	2153	+ " <tr>\n",
	2154	+ " <th>11</th>\n",
	2155	+ " <td>은평구</td>\n",
	2156	+ " <td>477173</td>\n",
	2157	+ " <td>473307</td>\n",
	2158	+ " <td>3866</td>\n",
	2159	+ " <td>87241</td>\n",
	2160	+ " <td>0.810188</td>\n",
	2161	+ " <td>18.282887</td>\n",
	2162	+ " </tr>\n",
	2163	+ " <tr>\n",
	2164	+ " <th>20</th>\n",
	2165	+ " <td>관악구</td>\n",
	2166	+ " <td>499449</td>\n",
	2167	+ " <td>485699</td>\n",
	2168	+ " <td>13750</td>\n",
	2169	+ " <td>79871</td>\n",
	2170	+ " <td>2.753034</td>\n",
	2171	+ " <td>15.991823</td>\n",
	2172	+ " </tr>\n",
	2173	+ " </tbody>\n",
	2174	+ "</table>\n",
	2175	+ "</div>"
	2176	+ ],
	2177	+ "text/plain": [
	2178	+ " 구별 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n",
	2179	+ "23 송파구 663965 658338 5627 97691 0.847484 14.713276\n",
	2180	+ "15 강서구 579768 574315 5453 92558 0.940549 15.964662\n",
	2181	+ "10 노원구 514946 510956 3990 88345 0.774839 17.156168\n",
	2182	+ "11 은평구 477173 473307 3866 87241 0.810188 18.282887\n",
	2183	+ "20 관악구 499449 485699 13750 79871 2.753034 15.991823"
	2184	+ ]
	2185	+ },
	2186	+ "execution_count": 68,
	2187	+ "metadata": {},
	2188	+ "output_type": "execute_result"
	2189	+ }
	2190	+ ],
	2191	+ "source": [
	2192	+ "popData.sort_values(by = '고령자', ascending=False).head()"
	2193	+ ]
	2194	+ },
	2195	+ {
	2196	+ "cell_type": "code",
	2197	+ "execution_count": 83,
	2198	+ "id": "0c7a1da6",
	2199	+ "metadata": {
	2200	+ "scrolled": true
	2201	+ },
	2202	+ "outputs": [
	2203	+ {
	2204	+ "data": {
	2205	+ "text/html": [
	2206	+ "<div>\n",
	2207	+ "<style scoped>\n",
	2208	+ " .dataframe tbody tr th:only-of-type {\n",
	2209	+ " vertical-align: middle;\n",
	2210	+ " }\n",
	2211	+ "\n",
	2212	+ " .dataframe tbody tr th {\n",
	2213	+ " vertical-align: top;\n",
	2214	+ " }\n",
	2215	+ "\n",
	2216	+ " .dataframe thead th {\n",
	2217	+ " text-align: right;\n",
	2218	+ " }\n",
	2219	+ "</style>\n",
	2220	+ "<table border=\"1\" class=\"dataframe\">\n",
	2221	+ " <thead>\n",
	2222	+ " <tr style=\"text-align: right;\">\n",
	2223	+ " <th></th>\n",
	2224	+ " <th>구별</th>\n",
	2225	+ " <th>총계</th>\n",
	2226	+ " <th>2012년 이전</th>\n",
	2227	+ " <th>2012년</th>\n",
	2228	+ " <th>2013년</th>\n",
	2229	+ " <th>2014년</th>\n",
	2230	+ " <th>2015년</th>\n",
	2231	+ " <th>2016년</th>\n",
	2232	+ " <th>2017년</th>\n",
	2233	+ " <th>2018년</th>\n",
	2234	+ " <th>2019년</th>\n",
	2235	+ " <th>2020년</th>\n",
	2236	+ " <th>2021년</th>\n",
	2237	+ " <th>최근증가율</th>\n",
	2238	+ " <th>인구수</th>\n",
	2239	+ " <th>한국인</th>\n",
	2240	+ " <th>외국인</th>\n",
	2241	+ " <th>고령자</th>\n",
	2242	+ " <th>외국인비율</th>\n",
	2243	+ " <th>고령자비율</th>\n",
	2244	+ " </tr>\n",
	2245	+ " </thead>\n",
	2246	+ " <tbody>\n",
	2247	+ " <tr>\n",
	2248	+ " <th>0</th>\n",
	2249	+ " <td>종로구</td>\n",
	2250	+ " <td>1715</td>\n",
	2251	+ " <td>815</td>\n",
	2252	+ " <td>0.0</td>\n",
	2253	+ " <td>0.0</td>\n",
	2254	+ " <td>195</td>\n",
	2255	+ " <td>150</td>\n",
	2256	+ " <td>0</td>\n",
	2257	+ " <td>261</td>\n",
	2258	+ " <td>85</td>\n",
	2259	+ " <td>9</td>\n",
	2260	+ " <td>200</td>\n",
	2261	+ " <td>0</td>\n",
	2262	+ " <td>47.844828</td>\n",
	2263	+ " <td>153789</td>\n",
	2264	+ " <td>144683</td>\n",
	2265	+ " <td>9106</td>\n",
	2266	+ " <td>27818</td>\n",
	2267	+ " <td>5.921100</td>\n",
	2268	+ " <td>18.088420</td>\n",
	2269	+ " </tr>\n",
	2270	+ " <tr>\n",
	2271	+ " <th>1</th>\n",
	2272	+ " <td>중구</td>\n",
	2273	+ " <td>2447</td>\n",
	2274	+ " <td>16</td>\n",
	2275	+ " <td>114.0</td>\n",
	2276	+ " <td>87.0</td>\n",
	2277	+ " <td>77</td>\n",
	2278	+ " <td>236</td>\n",
	2279	+ " <td>240</td>\n",
	2280	+ " <td>372</td>\n",
	2281	+ " <td>386</td>\n",
	2282	+ " <td>155</td>\n",
	2283	+ " <td>361</td>\n",
	2284	+ " <td>403</td>\n",
	2285	+ " <td>217.792208</td>\n",
	2286	+ " <td>131787</td>\n",
	2287	+ " <td>122499</td>\n",
	2288	+ " <td>9288</td>\n",
	2289	+ " <td>24392</td>\n",
	2290	+ " <td>7.047736</td>\n",
	2291	+ " <td>18.508654</td>\n",
	2292	+ " </tr>\n",
	2293	+ " <tr>\n",
	2294	+ " <th>2</th>\n",
	2295	+ " <td>용산구</td>\n",
	2296	+ " <td>2611</td>\n",
	2297	+ " <td>34</td>\n",
	2298	+ " <td>71.0</td>\n",
	2299	+ " <td>234.0</td>\n",
	2300	+ " <td>125</td>\n",
	2301	+ " <td>221</td>\n",
	2302	+ " <td>298</td>\n",
	2303	+ " <td>351</td>\n",
	2304	+ " <td>125</td>\n",
	2305	+ " <td>307</td>\n",
	2306	+ " <td>617</td>\n",
	2307	+ " <td>228</td>\n",
	2308	+ " <td>165.615463</td>\n",
	2309	+ " <td>237285</td>\n",
	2310	+ " <td>222953</td>\n",
	2311	+ " <td>14332</td>\n",
	2312	+ " <td>39070</td>\n",
	2313	+ " <td>6.039994</td>\n",
	2314	+ " <td>16.465432</td>\n",
	2315	+ " </tr>\n",
	2316	+ " <tr>\n",
	2317	+ " <th>3</th>\n",
	2318	+ " <td>성동구</td>\n",
	2319	+ " <td>3829</td>\n",
	2320	+ " <td>163</td>\n",
	2321	+ " <td>144.0</td>\n",
	2322	+ " <td>208.0</td>\n",
	2323	+ " <td>107</td>\n",
	2324	+ " <td>325</td>\n",
	2325	+ " <td>255</td>\n",
	2326	+ " <td>967</td>\n",
	2327	+ " <td>415</td>\n",
	2328	+ " <td>490</td>\n",
	2329	+ " <td>472</td>\n",
	2330	+ " <td>283</td>\n",
	2331	+ " <td>218.552413</td>\n",
	2332	+ " <td>292672</td>\n",
	2333	+ " <td>285990</td>\n",
	2334	+ " <td>6682</td>\n",
	2335	+ " <td>46380</td>\n",
	2336	+ " <td>2.283102</td>\n",
	2337	+ " <td>15.847092</td>\n",
	2338	+ " </tr>\n",
	2339	+ " <tr>\n",
	2340	+ " <th>4</th>\n",
	2341	+ " <td>광진구</td>\n",
	2342	+ " <td>3211</td>\n",
	2343	+ " <td>35</td>\n",
	2344	+ " <td>57.0</td>\n",
	2345	+ " <td>100.0</td>\n",
	2346	+ " <td>187</td>\n",
	2347	+ " <td>98</td>\n",
	2348	+ " <td>52</td>\n",
	2349	+ " <td>675</td>\n",
	2350	+ " <td>465</td>\n",
	2351	+ " <td>712</td>\n",
	2352	+ " <td>175</td>\n",
	2353	+ " <td>655</td>\n",
	2354	+ " <td>506.994329</td>\n",
	2355	+ " <td>352627</td>\n",
	2356	+ " <td>339996</td>\n",
	2357	+ " <td>12631</td>\n",
	2358	+ " <td>51723</td>\n",
	2359	+ " <td>3.581972</td>\n",
	2360	+ " <td>14.667907</td>\n",
	2361	+ " </tr>\n",
	2362	+ " </tbody>\n",
	2363	+ "</table>\n",
	2364	+ "</div>"
	2365	+ ],
	2366	+ "text/plain": [
	2367	+ " 구별 총계 2012년 이전 2012년 2013년 2014년 2015년 2016년 2017년 2018년 \\\n",
	2368	+ "0 종로구 1715 815 0.0 0.0 195 150 0 261 85 \n",
	2369	+ "1 중구 2447 16 114.0 87.0 77 236 240 372 386 \n",
	2370	+ "2 용산구 2611 34 71.0 234.0 125 221 298 351 125 \n",
	2371	+ "3 성동구 3829 163 144.0 208.0 107 325 255 967 415 \n",
	2372	+ "4 광진구 3211 35 57.0 100.0 187 98 52 675 465 \n",
	2373	+ "\n",
	2374	+ " 2019년 2020년 2021년 최근증가율 인구수 한국인 외국인 고령자 외국인비율 \\\n",
	2375	+ "0 9 200 0 47.844828 153789 144683 9106 27818 5.921100 \n",
	2376	+ "1 155 361 403 217.792208 131787 122499 9288 24392 7.047736 \n",
	2377	+ "2 307 617 228 165.615463 237285 222953 14332 39070 6.039994 \n",
	2378	+ "3 490 472 283 218.552413 292672 285990 6682 46380 2.283102 \n",
	2379	+ "4 712 175 655 506.994329 352627 339996 12631 51723 3.581972 \n",
	2380	+ "\n",
	2381	+ " 고령자비율 \n",
	2382	+ "0 18.088420 \n",
	2383	+ "1 18.508654 \n",
	2384	+ "2 16.465432 \n",
	2385	+ "3 15.847092 \n",
	2386	+ "4 14.667907 "
	2387	+ ]
	2388	+ },
	2389	+ "execution_count": 83,
	2390	+ "metadata": {},
	2391	+ "output_type": "execute_result"
	2392	+ }
	2393	+ ],
	2394	+ "source": [
	2395	+ "dataset = pd.merge(cctvData, popData, on='구별')\n",
	2396	+ "dataset.head()"
	2397	+ ]
	2398	+ },
	2399	+ {
	2400	+ "cell_type": "code",
	2401	+ "execution_count": 84,
	2402	+ "id": "9d8d3ade",
	2403	+ "metadata": {},
	2404	+ "outputs": [],
	2405	+ "source": [
	2406	+ "del dataset['2012년 이전']\n",
	2407	+ "del dataset['2012년']\n",
	2408	+ "del dataset['2013년']\n",
	2409	+ "del dataset['2014년']\n",
	2410	+ "del dataset['2015년']\n",
	2411	+ "del dataset['2016년']\n",
	2412	+ "del dataset['2017년']\n",
	2413	+ "del dataset['2018년']\n",
	2414	+ "del dataset['2019년']\n",
	2415	+ "del dataset['2020년']\n",
	2416	+ "del dataset['2021년']"
	2417	+ ]
	2418	+ },
	2419	+ {
	2420	+ "cell_type": "code",
	2421	+ "execution_count": 85,
	2422	+ "id": "08238cb5",
	2423	+ "metadata": {},
	2424	+ "outputs": [
	2425	+ {
	2426	+ "data": {
	2427	+ "text/html": [
	2428	+ "<div>\n",
	2429	+ "<style scoped>\n",
	2430	+ " .dataframe tbody tr th:only-of-type {\n",
	2431	+ " vertical-align: middle;\n",
	2432	+ " }\n",
	2433	+ "\n",
	2434	+ " .dataframe tbody tr th {\n",
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	2436	+ " }\n",
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	2440	+ " }\n",
	2441	+ "</style>\n",
	2442	+ "<table border=\"1\" class=\"dataframe\">\n",
	2443	+ " <thead>\n",
	2444	+ " <tr style=\"text-align: right;\">\n",
	2445	+ " <th></th>\n",
	2446	+ " <th>구별</th>\n",
	2447	+ " <th>총계</th>\n",
	2448	+ " <th>최근증가율</th>\n",
	2449	+ " <th>인구수</th>\n",
	2450	+ " <th>한국인</th>\n",
	2451	+ " <th>외국인</th>\n",
	2452	+ " <th>고령자</th>\n",
	2453	+ " <th>외국인비율</th>\n",
	2454	+ " <th>고령자비율</th>\n",
	2455	+ " </tr>\n",
	2456	+ " </thead>\n",
	2457	+ " <tbody>\n",
	2458	+ " <tr>\n",
	2459	+ " <th>0</th>\n",
	2460	+ " <td>종로구</td>\n",
	2461	+ " <td>1715</td>\n",
	2462	+ " <td>47.844828</td>\n",
	2463	+ " <td>153789</td>\n",
	2464	+ " <td>144683</td>\n",
	2465	+ " <td>9106</td>\n",
	2466	+ " <td>27818</td>\n",
	2467	+ " <td>5.921100</td>\n",
	2468	+ " <td>18.088420</td>\n",
	2469	+ " </tr>\n",
	2470	+ " <tr>\n",
	2471	+ " <th>1</th>\n",
	2472	+ " <td>중구</td>\n",
	2473	+ " <td>2447</td>\n",
	2474	+ " <td>217.792208</td>\n",
	2475	+ " <td>131787</td>\n",
	2476	+ " <td>122499</td>\n",
	2477	+ " <td>9288</td>\n",
	2478	+ " <td>24392</td>\n",
	2479	+ " <td>7.047736</td>\n",
	2480	+ " <td>18.508654</td>\n",
	2481	+ " </tr>\n",
	2482	+ " <tr>\n",
	2483	+ " <th>2</th>\n",
	2484	+ " <td>용산구</td>\n",
	2485	+ " <td>2611</td>\n",
	2486	+ " <td>165.615463</td>\n",
	2487	+ " <td>237285</td>\n",
	2488	+ " <td>222953</td>\n",
	2489	+ " <td>14332</td>\n",
	2490	+ " <td>39070</td>\n",
	2491	+ " <td>6.039994</td>\n",
	2492	+ " <td>16.465432</td>\n",
	2493	+ " </tr>\n",
	2494	+ " <tr>\n",
	2495	+ " <th>3</th>\n",
	2496	+ " <td>성동구</td>\n",
	2497	+ " <td>3829</td>\n",
	2498	+ " <td>218.552413</td>\n",
	2499	+ " <td>292672</td>\n",
	2500	+ " <td>285990</td>\n",
	2501	+ " <td>6682</td>\n",
	2502	+ " <td>46380</td>\n",
	2503	+ " <td>2.283102</td>\n",
	2504	+ " <td>15.847092</td>\n",
	2505	+ " </tr>\n",
	2506	+ " <tr>\n",
	2507	+ " <th>4</th>\n",
	2508	+ " <td>광진구</td>\n",
	2509	+ " <td>3211</td>\n",
	2510	+ " <td>506.994329</td>\n",
	2511	+ " <td>352627</td>\n",
	2512	+ " <td>339996</td>\n",
	2513	+ " <td>12631</td>\n",
	2514	+ " <td>51723</td>\n",
	2515	+ " <td>3.581972</td>\n",
	2516	+ " <td>14.667907</td>\n",
	2517	+ " </tr>\n",
	2518	+ " </tbody>\n",
	2519	+ "</table>\n",
	2520	+ "</div>"
	2521	+ ],
	2522	+ "text/plain": [
	2523	+ " 구별 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n",
	2524	+ "0 종로구 1715 47.844828 153789 144683 9106 27818 5.921100 18.088420\n",
	2525	+ "1 중구 2447 217.792208 131787 122499 9288 24392 7.047736 18.508654\n",
	2526	+ "2 용산구 2611 165.615463 237285 222953 14332 39070 6.039994 16.465432\n",
	2527	+ "3 성동구 3829 218.552413 292672 285990 6682 46380 2.283102 15.847092\n",
	2528	+ "4 광진구 3211 506.994329 352627 339996 12631 51723 3.581972 14.667907"
	2529	+ ]
	2530	+ },
	2531	+ "execution_count": 85,
	2532	+ "metadata": {},
	2533	+ "output_type": "execute_result"
	2534	+ }
	2535	+ ],
	2536	+ "source": [
	2537	+ "dataset.head()"
	2538	+ ]
	2539	+ },
	2540	+ {
	2541	+ "cell_type": "code",
	2542	+ "execution_count": 86,
	2543	+ "id": "4f6a862c",
	2544	+ "metadata": {},
	2545	+ "outputs": [],
	2546	+ "source": [
	2547	+ "dataset.set_index('구별', inplace=True)"
	2548	+ ]
	2549	+ },
	2550	+ {
	2551	+ "cell_type": "code",
	2552	+ "execution_count": 87,
	2553	+ "id": "e010a71c",
	2554	+ "metadata": {},
	2555	+ "outputs": [
	2556	+ {
	2557	+ "data": {
	2558	+ "text/html": [
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	2560	+ "<style scoped>\n",
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	2574	+ " <thead>\n",
	2575	+ " <tr style=\"text-align: right;\">\n",
	2576	+ " <th></th>\n",
	2577	+ " <th>총계</th>\n",
	2578	+ " <th>최근증가율</th>\n",
	2579	+ " <th>인구수</th>\n",
	2580	+ " <th>한국인</th>\n",
	2581	+ " <th>외국인</th>\n",
	2582	+ " <th>고령자</th>\n",
	2583	+ " <th>외국인비율</th>\n",
	2584	+ " <th>고령자비율</th>\n",
	2585	+ " </tr>\n",
	2586	+ " <tr>\n",
	2587	+ " <th>구별</th>\n",
	2588	+ " <th></th>\n",
	2589	+ " <th></th>\n",
	2590	+ " <th></th>\n",
	2591	+ " <th></th>\n",
	2592	+ " <th></th>\n",
	2593	+ " <th></th>\n",
	2594	+ " <th></th>\n",
	2595	+ " <th></th>\n",
	2596	+ " </tr>\n",
	2597	+ " </thead>\n",
	2598	+ " <tbody>\n",
	2599	+ " <tr>\n",
	2600	+ " <th>종로구</th>\n",
	2601	+ " <td>1715</td>\n",
	2602	+ " <td>47.844828</td>\n",
	2603	+ " <td>153789</td>\n",
	2604	+ " <td>144683</td>\n",
	2605	+ " <td>9106</td>\n",
	2606	+ " <td>27818</td>\n",
	2607	+ " <td>5.921100</td>\n",
	2608	+ " <td>18.088420</td>\n",
	2609	+ " </tr>\n",
	2610	+ " <tr>\n",
	2611	+ " <th>중구</th>\n",
	2612	+ " <td>2447</td>\n",
	2613	+ " <td>217.792208</td>\n",
	2614	+ " <td>131787</td>\n",
	2615	+ " <td>122499</td>\n",
	2616	+ " <td>9288</td>\n",
	2617	+ " <td>24392</td>\n",
	2618	+ " <td>7.047736</td>\n",
	2619	+ " <td>18.508654</td>\n",
	2620	+ " </tr>\n",
	2621	+ " <tr>\n",
	2622	+ " <th>용산구</th>\n",
	2623	+ " <td>2611</td>\n",
	2624	+ " <td>165.615463</td>\n",
	2625	+ " <td>237285</td>\n",
	2626	+ " <td>222953</td>\n",
	2627	+ " <td>14332</td>\n",
	2628	+ " <td>39070</td>\n",
	2629	+ " <td>6.039994</td>\n",
	2630	+ " <td>16.465432</td>\n",
	2631	+ " </tr>\n",
	2632	+ " <tr>\n",
	2633	+ " <th>성동구</th>\n",
	2634	+ " <td>3829</td>\n",
	2635	+ " <td>218.552413</td>\n",
	2636	+ " <td>292672</td>\n",
	2637	+ " <td>285990</td>\n",
	2638	+ " <td>6682</td>\n",
	2639	+ " <td>46380</td>\n",
	2640	+ " <td>2.283102</td>\n",
	2641	+ " <td>15.847092</td>\n",
	2642	+ " </tr>\n",
	2643	+ " <tr>\n",
	2644	+ " <th>광진구</th>\n",
	2645	+ " <td>3211</td>\n",
	2646	+ " <td>506.994329</td>\n",
	2647	+ " <td>352627</td>\n",
	2648	+ " <td>339996</td>\n",
	2649	+ " <td>12631</td>\n",
	2650	+ " <td>51723</td>\n",
	2651	+ " <td>3.581972</td>\n",
	2652	+ " <td>14.667907</td>\n",
	2653	+ " </tr>\n",
	2654	+ " </tbody>\n",
	2655	+ "</table>\n",
	2656	+ "</div>"
	2657	+ ],
	2658	+ "text/plain": [
	2659	+ " 총계 최근증가율 인구수 한국인 외국인 고령자 외국인비율 고령자비율\n",
	2660	+ "구별 \n",
	2661	+ "종로구 1715 47.844828 153789 144683 9106 27818 5.921100 18.088420\n",
	2662	+ "중구 2447 217.792208 131787 122499 9288 24392 7.047736 18.508654\n",
	2663	+ "용산구 2611 165.615463 237285 222953 14332 39070 6.039994 16.465432\n",
	2664	+ "성동구 3829 218.552413 292672 285990 6682 46380 2.283102 15.847092\n",
	2665	+ "광진구 3211 506.994329 352627 339996 12631 51723 3.581972 14.667907"
	2666	+ ]
	2667	+ },
	2668	+ "execution_count": 87,
	2669	+ "metadata": {},
	2670	+ "output_type": "execute_result"
	2671	+ }
	2672	+ ],
	2673	+ "source": [
	2674	+ "dataset.head()"
	2675	+ ]
	2676	+ },
	2677	+ {
	2678	+ "cell_type": "code",
	2679	+ "execution_count": null,
	2680	+ "id": "981d8131",
	2681	+ "metadata": {},
	2682	+ "outputs": [],
	2683	+ "source": []
	2684	+ },
	2685	+ {
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	2687	+ "execution_count": null,
	2688	+ "id": "eac8f453",
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	2723	+}

652ba1e

20220530/seoul_cctv_202112.csv (added)

+++ 20220530/seoul_cctv_202112.csv

...	...	@@ -0,0 +1,28 @@
	1	+"¡Ø 2021.12.31. ÇöÈ²À» ±âÁØÀ¸·Î °¢ ¿¬µµº° ¼³Ä¡µÈ CCTV ¼ö·®. ±³Ã¼(ÀúÈÁú±³Ã¼, ¼º´É°³¼±)´Â ÃÖÃÊ¼³Ä¡¿¬µµ°¡ ¾Æ´Ñ ±³Ã¼³âµµ ¼ö·®¿¡ Æ÷ÇÔ",,,,,,,,,,,,
	2	+±¸ºÐ,ÃÑ°è,2012³â ÀÌÀü,2012³â,2013³â,2014³â,2015³â,2016³â,2017³â,2018³â,2019³â,2020³â,2021³â
	3	+°è,"83,557","4,812","1,851","3,434","4,295","6,840","8,708","11,572","10,627","12,267","11,247","7,904"
	4	+Á¾·Î±¸,"1,715",815,,,195,150,0,261,85,9,200,0
	5	+Áß±¸,"2,447",16,114,87,77,236,240,372,386,155,361,403
	6	+¿ë»ê±¸,"2,611",34,71,234,125,221,298,351,125,307,617,228
	7	+¼ºµ¿±¸,"3,829",163,144,208,107,325,255,967,415,490,472,283
	8	+±¤Áø±¸,"3,211",35,57,100,187,98,52,675,465,712,175,655
	9	+µ¿´ë¹®±¸,"2,628",4,0,14,16,115,804,814,201,218,223,219
	10	+Áß¶û±¸,"3,737",346,21,253,72,132,155,153,174,1049,934,448
	11	+¼ººÏ±¸,"4,602",81,78,170,229,322,594,890,867,714,253,404
	12	+°ºÏ±¸,"3,090",8,0,22,61,124,251,29,391,1078,656,470
	13	+µµºÀ±¸,"1,930",128,22,2,145,172,123,129,222,210,184,593
	14	+³ë¿ø±¸,"2,492",0,87,164,77,514,331,175,216,320,387,221
	15	+ÀºÆò±¸,"4,131",14,3,44,332,329,555,403,635,1057,288,471
	16	+¼´ë¹®±¸,"3,055",730,253,155,108,137,223,356,237,343,397,116
	17	+¸¶Æ÷±¸,"2,496",23,19,40,112,185,478,365,373,494,299,108
	18	+¾çÃµ±¸,"3,650",71,174,158,134,246,424,577,837,312,346,371
	19	+°¼±¸,"2,744",54,122,104,202,199,168,506,259,457,356,317
	20	+±¸·Î±¸,"4,608",852,216,349,187,268,326,540,488,434,415,533
	21	+±ÝÃµ±¸,"2,411",0,0,174,80,361,133,196,539,367,513,48
	22	+¿µµîÆ÷±¸,"4,056",572,136,238,123,209,248,311,658,65,1213,283
	23	+µ¿ÀÛ±¸,"2,306",41,24,25,503,128,253,271,300,322,419,20
	24	+°ü¾Ç±¸,"5,149",440,84,431,439,609,622,688,674,595,331,236
	25	+¼ÃÊ±¸,"4,082",8,73,79,70,562,504,1041,417,339,433,556
	26	+°³²±¸,"6,871",69,67,66,580,830,1293,988,745,791,926,516
	27	+¼ÛÆÄ±¸,"2,897",40,59,90,85,214,176,241,541,1073,235,143
	28	+°µ¿±¸,"2,809",268,27,227,49,154,202,273,377,356,614,262

652ba1e

20220530/seoul_population.xls (Binary) (added)

+++ 20220530/seoul_population.xls

Binary file is not shown

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...	...	@@ -621,9 +621,9 @@
621	621	],
622	622	"source": [
623	623	"plt.figure(figsize=(10, 6))\n",
624		- "box1 = plt.boxplot(s1, positions=[1])\n",
625		- "box2 = plt.boxplot(s2, positions=[2])\n",
626		- "box3 = plt.boxplot(s3, positions=[3])\n",
	624	+ "box1 = plt.boxplot(s1, positions=[1], notch=True, patch_ari)\n",
	625	+ "box2 = plt.boxplot(s2, positions=[2], notch=True, )\n",
	626	+ "box3 = plt.boxplot(s3, positions=[3], notch=True, )\n",
627	627	"plt.grid()\n",
628	628	"plt.show()"
629	629	]

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