Overview

Dataset statistics

Number of variables7
Number of observations677
Missing cells724
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.2 KiB
Average record size in memory56.2 B

Variable types

Text4
Categorical3

Dataset

Description키,명칭,행정시,행정구,행정동,전화번호,홈페이지주소
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-13022/S/1/datasetView.do

Alerts

행정동 is highly overall correlated with 행정시 and 1 other fieldsHigh correlation
행정시 is highly overall correlated with 행정구 and 1 other fieldsHigh correlation
행정구 is highly overall correlated with 행정시 and 1 other fieldsHigh correlation
행정시 is highly imbalanced (75.8%)Imbalance
행정구 is highly imbalanced (82.2%)Imbalance
전화번호 has 232 (34.3%) missing valuesMissing
홈페이지주소 has 491 (72.5%) missing valuesMissing
키 has unique valuesUnique

Reproduction

Analysis started2023-12-11 08:43:26.001790
Analysis finished2023-12-11 08:43:26.855307
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

키
Text

UNIQUE 

Distinct677
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2023-12-11T17:43:27.136268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters8124
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique677 ?
Unique (%)100.0%

Sample

1st rowBE_IW12-0560
2nd rowBE_IW12-0561
3rd rowBE_IW12-0562
4th rowBE_IW12-0563
5th rowBE_IW12-0564
ValueCountFrequency (%)
be_iw12-0560 1
 
0.1%
be_iw12-0137 1
 
0.1%
be_iw12-0147 1
 
0.1%
be_iw12-0130 1
 
0.1%
be_iw12-0131 1
 
0.1%
be_iw12-0132 1
 
0.1%
be_iw12-0133 1
 
0.1%
be_iw12-0134 1
 
0.1%
be_iw12-0135 1
 
0.1%
be_iw12-0136 1
 
0.1%
Other values (667) 667
98.5%
2023-12-11T17:43:27.673613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 915
11.3%
2 915
11.3%
0 912
11.2%
B 677
8.3%
E 677
8.3%
_ 677
8.3%
I 677
8.3%
W 677
8.3%
- 677
8.3%
5 238
 
2.9%
Other values (6) 1082
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4062
50.0%
Uppercase Letter 2708
33.3%
Connector Punctuation 677
 
8.3%
Dash Punctuation 677
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 915
22.5%
2 915
22.5%
0 912
22.5%
5 238
 
5.9%
3 238
 
5.9%
4 238
 
5.9%
6 216
 
5.3%
7 136
 
3.3%
9 127
 
3.1%
8 127
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 677
25.0%
E 677
25.0%
I 677
25.0%
W 677
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 677
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5416
66.7%
Latin 2708
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 915
16.9%
2 915
16.9%
0 912
16.8%
_ 677
12.5%
- 677
12.5%
5 238
 
4.4%
3 238
 
4.4%
4 238
 
4.4%
6 216
 
4.0%
7 136
 
2.5%
Other values (2) 254
 
4.7%
Latin
ValueCountFrequency (%)
B 677
25.0%
E 677
25.0%
I 677
25.0%
W 677
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 915
11.3%
2 915
11.3%
0 912
11.2%
B 677
8.3%
E 677
8.3%
_ 677
8.3%
I 677
8.3%
W 677
8.3%
- 677
8.3%
5 238
 
2.9%
Other values (6) 1082
13.3%

명칭
Text

Distinct546
Distinct (%)80.8%
Missing1
Missing (%)0.1%
Memory size5.4 KiB
2023-12-11T17:43:28.061139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length45
Mean length20.352071
Min length3

Characters and Unicode

Total characters13758
Distinct characters69
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique431 ?
Unique (%)63.8%

Sample

1st rowLotte Duty Free Shop
2nd rowLotte Duty Free Shop
3rd rowSilla Duty Free Shop
4th rowSilla Duty Free Shop
5th rowGalleria Department Store
ValueCountFrequency (%)
site 81
 
4.2%
of 42
 
2.2%
hall 39
 
2.0%
seoul 35
 
1.8%
hotel 29
 
1.5%
market 28
 
1.5%
house 26
 
1.4%
art 23
 
1.2%
memorial 23
 
1.2%
park 23
 
1.2%
Other values (819) 1573
81.8%
2023-12-11T17:43:29.053234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1281
 
9.3%
1254
 
9.1%
n 1170
 
8.5%
o 1067
 
7.8%
a 1065
 
7.7%
g 674
 
4.9%
i 604
 
4.4%
t 587
 
4.3%
u 577
 
4.2%
r 500
 
3.6%
Other values (59) 4979
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10473
76.1%
Uppercase Letter 1857
 
13.5%
Space Separator 1254
 
9.1%
Dash Punctuation 69
 
0.5%
Open Punctuation 32
 
0.2%
Close Punctuation 32
 
0.2%
Other Punctuation 31
 
0.2%
Decimal Number 7
 
0.1%
Other Letter 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 296
15.9%
M 210
11.3%
H 164
 
8.8%
C 149
 
8.0%
G 118
 
6.4%
J 91
 
4.9%
P 91
 
4.9%
A 91
 
4.9%
N 82
 
4.4%
D 79
 
4.3%
Other values (16) 486
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 1281
12.2%
n 1170
11.2%
o 1067
10.2%
a 1065
10.2%
g 674
 
6.4%
i 604
 
5.8%
t 587
 
5.6%
u 577
 
5.5%
r 500
 
4.8%
l 466
 
4.4%
Other values (15) 2482
23.7%
Other Punctuation
ValueCountFrequency (%)
' 21
67.7%
& 4
 
12.9%
, 3
 
9.7%
: 2
 
6.5%
. 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
5 3
42.9%
0 2
28.6%
4 1
 
14.3%
6 1
 
14.3%
Other Letter
ValueCountFrequency (%)
입 1
33.3%
니 1
33.3%
다 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 31
96.9%
[ 1
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 31
96.9%
] 1
 
3.1%
Space Separator
ValueCountFrequency (%)
1254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12330
89.6%
Common 1425
 
10.4%
Hangul 3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1281
 
10.4%
n 1170
 
9.5%
o 1067
 
8.7%
a 1065
 
8.6%
g 674
 
5.5%
i 604
 
4.9%
t 587
 
4.8%
u 577
 
4.7%
r 500
 
4.1%
l 466
 
3.8%
Other values (41) 4339
35.2%
Common
ValueCountFrequency (%)
1254
88.0%
- 69
 
4.8%
( 31
 
2.2%
) 31
 
2.2%
' 21
 
1.5%
& 4
 
0.3%
, 3
 
0.2%
5 3
 
0.2%
0 2
 
0.1%
: 2
 
0.1%
Other values (5) 5
 
0.4%
Hangul
ValueCountFrequency (%)
입 1
33.3%
니 1
33.3%
다 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13755
> 99.9%
Hangul 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1281
 
9.3%
1254
 
9.1%
n 1170
 
8.5%
o 1067
 
7.8%
a 1065
 
7.7%
g 674
 
4.9%
i 604
 
4.4%
t 587
 
4.3%
u 577
 
4.2%
r 500
 
3.6%
Other values (56) 4976
36.2%
Hangul
ValueCountFrequency (%)
입 1
33.3%
니 1
33.3%
다 1
33.3%

행정시
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Seoul
650 
<NA>
 
27

Length

Max length5
Median length5
Mean length4.9601182
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSeoul
2nd rowSeoul
3rd rowSeoul
4th rowSeoul
5th rowSeoul

Common Values

ValueCountFrequency (%)
Seoul 650
96.0%
<NA> 27
 
4.0%

Length

2023-12-11T17:43:29.249466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:43:29.397169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
seoul 650
96.0%
na 27
 
4.0%

행정구
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Jung-gu
641 
<NA>
 
27
Yongsan-gu
 
6
Jongno-gu
 
3

Length

Max length10
Median length7
Mean length6.915805
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJung-gu
2nd rowJung-gu
3rd rowJung-gu
4th rowJung-gu
5th rowYongsan-gu

Common Values

ValueCountFrequency (%)
Jung-gu 641
94.7%
<NA> 27
 
4.0%
Yongsan-gu 6
 
0.9%
Jongno-gu 3
 
0.4%

Length

2023-12-11T17:43:29.547251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:43:29.702643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
jung-gu 641
94.7%
na 27
 
4.0%
yongsan-gu 6
 
0.9%
jongno-gu 3
 
0.4%

행정동
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Myeong-dong
163 
Sogong-dong
129 
Gwanghui-dong
61 
Jangchung-dong
53 
Pil-dong
50 
Other values (15)
221 

Length

Max length20
Median length14
Mean length11.262925
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st rowMyeong-dong
2nd rowMyeong-dong
3rd rowJangchung-dong
4th rowJangchung-dong
5th rowNamyeong-dong

Common Values

ValueCountFrequency (%)
Myeong-dong 163
24.1%
Sogong-dong 129
19.1%
Gwanghui-dong 61
 
9.0%
Jangchung-dong 53
 
7.8%
Pil-dong 50
 
7.4%
Sindang-dong 47
 
6.9%
Hoehyeon-dong 47
 
6.9%
Euljiro-dong 33
 
4.9%
<NA> 27
 
4.0%
Jungnim-dong 16
 
2.4%
Other values (10) 51
 
7.5%

Length

2023-12-11T17:43:29.889315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
myeong-dong 163
24.1%
sogong-dong 129
19.1%
gwanghui-dong 61
 
9.0%
jangchung-dong 53
 
7.8%
pil-dong 50
 
7.4%
sindang-dong 47
 
6.9%
hoehyeon-dong 47
 
6.9%
euljiro-dong 33
 
4.9%
na 27
 
4.0%
jungnim-dong 16
 
2.4%
Other values (10) 51
 
7.5%

전화번호
Text

MISSING 

Distinct383
Distinct (%)86.1%
Missing232
Missing (%)34.3%
Memory size5.4 KiB
2023-12-11T17:43:30.252959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length11.862921
Min length5

Characters and Unicode

Total characters5279
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)73.3%

Sample

1st row02-759-7586
2nd row02-759-7586
3rd row02-2230-3635
4th row02-2230-3635
5th row02-390-4114
ValueCountFrequency (%)
02-2232-2000 4
 
0.9%
02-2290-1234 3
 
0.7%
1544-1122 3
 
0.7%
02-3455-8341~2 3
 
0.7%
042-481-4650 3
 
0.7%
02-752-3353 3
 
0.7%
02-2265-0220 3
 
0.7%
02-752-6800 3
 
0.7%
02-3396-5855 3
 
0.7%
02-2268-0592 3
 
0.7%
Other values (348) 418
93.1%
2023-12-11T17:43:30.867733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1091
20.7%
- 882
16.7%
0 798
15.1%
7 466
8.8%
3 373
 
7.1%
5 350
 
6.6%
1 310
 
5.9%
6 289
 
5.5%
8 223
 
4.2%
4 195
 
3.7%
Other values (4) 302
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4271
80.9%
Dash Punctuation 882
 
16.7%
Space Separator 108
 
2.0%
Math Symbol 17
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1091
25.5%
0 798
18.7%
7 466
10.9%
3 373
 
8.7%
5 350
 
8.2%
1 310
 
7.3%
6 289
 
6.8%
8 223
 
5.2%
4 195
 
4.6%
9 176
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 882
100.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5279
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1091
20.7%
- 882
16.7%
0 798
15.1%
7 466
8.8%
3 373
 
7.1%
5 350
 
6.6%
1 310
 
5.9%
6 289
 
5.5%
8 223
 
4.2%
4 195
 
3.7%
Other values (4) 302
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1091
20.7%
- 882
16.7%
0 798
15.1%
7 466
8.8%
3 373
 
7.1%
5 350
 
6.6%
1 310
 
5.9%
6 289
 
5.5%
8 223
 
4.2%
4 195
 
3.7%
Other values (4) 302
 
5.7%

홈페이지주소
Text

MISSING 

Distinct167
Distinct (%)89.8%
Missing491
Missing (%)72.5%
Memory size5.4 KiB
2023-12-11T17:43:31.213730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length121
Median length62
Mean length32.290323
Min length14

Characters and Unicode

Total characters6006
Distinct characters65
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)80.6%

Sample

1st rowhttp://kr.lottedfs.com/branchMain.jsp?bCode=2
2nd rowhttp://kr.lottedfs.com/branchMain.jsp?bCode=2
3rd rowhttp://www.shilladfs.com/en/dutyfree/main.jsp
4th rowhttp://www.shilladfs.com/en/dutyfree/main.jsp
5th rowhttp://dept.galleria.co.kr/
ValueCountFrequency (%)
http://art-plaza.co.kr 4
 
2.2%
http://www.veneziamegamall.net 3
 
1.6%
http://emart.shinsegae.com/branch/floor/floor.jsp?id=951 3
 
1.6%
http://www.outback.co.kr 3
 
1.6%
http://www.megabox.co.kr/theaters/main_dongdaemun.aspx?theatercode=12 2
 
1.1%
http://www.spongehouse.com 2
 
1.1%
http://seoulmoa.seoul.go.kr/index.jsp 2
 
1.1%
http://www.royal.co.kr 2
 
1.1%
http://gallery.chosun.com 2
 
1.1%
http://www.dutyfree24.com/?domain=naver3 2
 
1.1%
Other values (132) 161
86.6%
2023-12-11T17:43:31.689592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 582
 
9.7%
t 528
 
8.8%
. 498
 
8.3%
w 430
 
7.2%
o 388
 
6.5%
h 291
 
4.8%
p 279
 
4.6%
e 278
 
4.6%
a 277
 
4.6%
r 260
 
4.3%
Other values (55) 2195
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4427
73.7%
Other Punctuation 1292
 
21.5%
Decimal Number 101
 
1.7%
Space Separator 56
 
0.9%
Uppercase Letter 55
 
0.9%
Connector Punctuation 30
 
0.5%
Math Symbol 27
 
0.4%
Dash Punctuation 12
 
0.2%
Other Letter 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 528
11.9%
w 430
 
9.7%
o 388
 
8.8%
h 291
 
6.6%
p 279
 
6.3%
e 278
 
6.3%
a 277
 
6.3%
r 260
 
5.9%
n 218
 
4.9%
c 202
 
4.6%
Other values (15) 1276
28.8%
Uppercase Letter
ValueCountFrequency (%)
C 14
25.5%
S 7
12.7%
T 4
 
7.3%
D 4
 
7.3%
M 4
 
7.3%
F 4
 
7.3%
V 3
 
5.5%
N 3
 
5.5%
H 3
 
5.5%
G 2
 
3.6%
Other values (5) 7
12.7%
Decimal Number
ValueCountFrequency (%)
0 30
29.7%
1 30
29.7%
2 14
13.9%
4 6
 
5.9%
9 5
 
5.0%
7 4
 
4.0%
5 4
 
4.0%
6 4
 
4.0%
3 4
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 582
45.0%
. 498
38.5%
: 183
 
14.2%
? 19
 
1.5%
& 8
 
0.6%
, 2
 
0.2%
Other Letter
ValueCountFrequency (%)
산 1
16.7%
종 1
16.7%
방 1
16.7%
장 1
16.7%
시 1
16.7%
합 1
16.7%
Space Separator
ValueCountFrequency (%)
56
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 30
100.0%
Math Symbol
ValueCountFrequency (%)
= 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4482
74.6%
Common 1518
 
25.3%
Hangul 6
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 528
 
11.8%
w 430
 
9.6%
o 388
 
8.7%
h 291
 
6.5%
p 279
 
6.2%
e 278
 
6.2%
a 277
 
6.2%
r 260
 
5.8%
n 218
 
4.9%
c 202
 
4.5%
Other values (30) 1331
29.7%
Common
ValueCountFrequency (%)
/ 582
38.3%
. 498
32.8%
: 183
 
12.1%
56
 
3.7%
_ 30
 
2.0%
0 30
 
2.0%
1 30
 
2.0%
= 27
 
1.8%
? 19
 
1.3%
2 14
 
0.9%
Other values (9) 49
 
3.2%
Hangul
ValueCountFrequency (%)
산 1
16.7%
종 1
16.7%
방 1
16.7%
장 1
16.7%
시 1
16.7%
합 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6000
99.9%
Hangul 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 582
 
9.7%
t 528
 
8.8%
. 498
 
8.3%
w 430
 
7.2%
o 388
 
6.5%
h 291
 
4.9%
p 279
 
4.7%
e 278
 
4.6%
a 277
 
4.6%
r 260
 
4.3%
Other values (49) 2189
36.5%
Hangul
ValueCountFrequency (%)
산 1
16.7%
종 1
16.7%
방 1
16.7%
장 1
16.7%
시 1
16.7%
합 1
16.7%

Correlations

2023-12-11T17:43:31.811605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정구행정동
행정구1.0001.000
행정동1.0001.000
2023-12-11T17:43:31.918463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동행정시행정구
행정동1.0001.0000.988
행정시1.0001.0001.000
행정구0.9881.0001.000
2023-12-11T17:43:32.033026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정시행정구행정동
행정시1.0001.0001.000
행정구1.0001.0000.988
행정동1.0000.9881.000

Missing values

2023-12-11T17:43:26.391983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T17:43:26.560260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T17:43:26.759239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

키명칭행정시행정구행정동전화번호홈페이지주소
0BE_IW12-0560Lotte Duty Free ShopSeoulJung-guMyeong-dong02-759-7586http://kr.lottedfs.com/branchMain.jsp?bCode=2
1BE_IW12-0561Lotte Duty Free ShopSeoulJung-guMyeong-dong02-759-7586http://kr.lottedfs.com/branchMain.jsp?bCode=2
2BE_IW12-0562Silla Duty Free ShopSeoulJung-guJangchung-dong02-2230-3635http://www.shilladfs.com/en/dutyfree/main.jsp
3BE_IW12-0563Silla Duty Free ShopSeoulJung-guJangchung-dong02-2230-3635http://www.shilladfs.com/en/dutyfree/main.jsp
4BE_IW12-0564Galleria Department StoreSeoulYongsan-guNamyeong-dong02-390-4114http://dept.galleria.co.kr/
5BE_IW12-0565Lotte Department StoreSeoulJung-guMyeong-dong02-771-2500http://www.lotteshopping.com/
6BE_IW12-0566Lotte Department StoreSeoulJung-guMyeong-dong02-771-2500http://www.lotteshopping.com/
7BE_IW12-0567Shinsegae Department StoreSeoulJung-guMyeong-dong02-310-1090http://www.shinsegae.com/
8BE_IW12-0568Shinsegae Department StoreSeoulJung-guMyeong-dong02-310-1090http://www.shinsegae.com/
9BE_IW12-0569Golden TownSeoulJung-guSindang-dong02-2238-4241<NA>
키명칭행정시행정구행정동전화번호홈페이지주소
667BE_IW12-0550Old Jeil Bank Head shopSeoulJung-guMyeong-dong<NA><NA>
668BE_IW12-0551Jangchungdan Monument MemorialSeoulJung-guJangchung-dong<NA><NA>
669BE_IW12-0552Jangchungdan Monument MemorialSeoulJung-guJangchung-dong<NA><NA>
670BE_IW12-0553Jungdong Ehwa girl's highschool Simson Memorial HallSeoulJung-guSogong-dong<NA><NA>
671BE_IW12-0554Jungdong Ehwa girl's highschool Simson Memorial HallSeoulJung-guSogong-dong<NA><NA>
672BE_IW12-0555Taepyeongro Old National AssemblySeoulJung-guMyeong-dong<NA><NA>
673BE_IW12-0556Taepyeongro Old National AssemblySeoulJung-guMyeong-dong<NA><NA>
674BE_IW12-0557Taepyeongro Old National AssemblySeoulJung-guMyeong-dong<NA><NA>
675BE_IW12-0558Lotte Duty Free ShopSeoulJongno-guSajik-dong02-399-3111http://www.dutyfree24.com/?Domain=Naver3
676BE_IW12-0559Lotte Duty Free ShopSeoulJongno-guSajik-dong02-399-3111http://www.dutyfree24.com/?Domain=Naver3