Overview

Dataset statistics

Number of variables9
Number of observations147
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory72.9 B

Variable types

Text4
Categorical5

Dataset

Description키,분류1,분류2,분류3,검색어,명칭,행정 시,행정 구,행정 동
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12992/S/1/datasetView.do

Alerts

분류1 has constant value ""Constant
행정 시 has constant value ""Constant
분류3 is highly overall correlated with 분류2High correlation
분류2 is highly overall correlated with 분류3High correlation
키 has unique valuesUnique

Reproduction

Analysis started2023-12-11 08:29:42.608595
Analysis finished2023-12-11 08:29:43.482988
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

키
Text

UNIQUE 

Distinct147
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T17:29:43.742388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1764
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

Unique147 ?
Unique (%)100.0%

Sample

1st rowBE_IW17-0102
2nd rowBE_IW17-0103
3rd rowBE_IW17-0104
4th rowBE_IW17-0105
5th rowBE_IW17-0106
ValueCountFrequency (%)
be_iw17-0102 1
 
0.7%
be_iw17-0029 1
 
0.7%
be_iw17-0055 1
 
0.7%
be_iw17-0049 1
 
0.7%
be_iw17-0050 1
 
0.7%
be_iw17-0051 1
 
0.7%
be_iw17-0052 1
 
0.7%
be_iw17-0053 1
 
0.7%
be_iw17-0054 1
 
0.7%
be_iw17-0056 1
 
0.7%
Other values (137) 137
93.2%
2023-12-11T17:29:44.221602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 279
15.8%
1 230
13.0%
7 172
9.8%
B 147
8.3%
E 147
8.3%
_ 147
8.3%
I 147
8.3%
W 147
8.3%
- 147
8.3%
2 35
 
2.0%
Other values (6) 166
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 882
50.0%
Uppercase Letter 588
33.3%
Connector Punctuation 147
 
8.3%
Dash Punctuation 147
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 279
31.6%
1 230
26.1%
7 172
19.5%
2 35
 
4.0%
3 35
 
4.0%
4 33
 
3.7%
5 25
 
2.8%
6 25
 
2.8%
9 24
 
2.7%
8 24
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 147
25.0%
E 147
25.0%
I 147
25.0%
W 147
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1176
66.7%
Latin 588
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 279
23.7%
1 230
19.6%
7 172
14.6%
_ 147
12.5%
- 147
12.5%
2 35
 
3.0%
3 35
 
3.0%
4 33
 
2.8%
5 25
 
2.1%
6 25
 
2.1%
Other values (2) 48
 
4.1%
Latin
ValueCountFrequency (%)
B 147
25.0%
E 147
25.0%
I 147
25.0%
W 147
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1764
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 279
15.8%
1 230
13.0%
7 172
9.8%
B 147
8.3%
E 147
8.3%
_ 147
8.3%
I 147
8.3%
W 147
8.3%
- 147
8.3%
2 35
 
2.0%
Other values (6) 166
9.4%

분류1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
쇼핑/여가/가정
147 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row쇼핑/여가/가정
2nd row쇼핑/여가/가정
3rd row쇼핑/여가/가정
4th row쇼핑/여가/가정
5th row쇼핑/여가/가정

Common Values

ValueCountFrequency (%)
쇼핑/여가/가정 147
100.0%

Length

2023-12-11T17:29:44.399465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:29:44.518604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쇼핑/여가/가정 147
100.0%

분류2
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
할인매장
95 
백화점
37 
아울렛
15 

Length

Max length4
Median length4
Mean length3.6462585
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
할인매장 95
64.6%
백화점 37
 
25.2%
아울렛 15
 
10.2%

Length

2023-12-11T17:29:44.634576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:29:44.784694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
할인매장 95
64.6%
백화점 37
 
25.2%
아울렛 15
 
10.2%

분류3
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
이마트
31 
홈플러스
19 
할인매장 일반
15 
백화점 일반
11 
롯데백화점
10 
Other values (15)
61 

Length

Max length10
Median length7
Mean length5.0680272
Min length3

Unique

Unique3 ?
Unique (%)2.0%

Sample

1st row백화점 일반
2nd row백화점 일반
3rd row백화점 일반
4th row백화점 일반
5th row백화점 일반

Common Values

ValueCountFrequency (%)
이마트 31
21.1%
홈플러스 19
12.9%
할인매장 일반 15
10.2%
백화점 일반 11
 
7.5%
롯데백화점 10
 
6.8%
롯데마트 10
 
6.8%
2001아울렛 7
 
4.8%
농협하나로마트 7
 
4.8%
현대백화점 7
 
4.8%
아울렛 일반 5
 
3.4%
Other values (10) 25
17.0%

Length

2023-12-11T17:29:44.932106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반 32
17.6%
이마트 31
17.0%
홈플러스 19
10.4%
할인매장 15
8.2%
백화점 11
 
6.0%
롯데백화점 10
 
5.5%
롯데마트 10
 
5.5%
2001아울렛 7
 
3.8%
농협하나로마트 7
 
3.8%
현대백화점 7
 
3.8%
Other values (12) 33
18.1%

검색어
Text

Distinct100
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T17:29:45.202581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length6.9387755
Min length3

Characters and Unicode

Total characters1020
Distinct characters169
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)62.6%

Sample

1st row월드면세백화점
2nd row잡곡종합백화점
3rd row청량리현대코아
4th row태평백화점
5th row행복한백화점
ValueCountFrequency (%)
이마트 29
 
19.7%
롯데백화점 9
 
6.1%
현대백화점 6
 
4.1%
신세계백화점 3
 
2.0%
프랑코페라도2001아울렛/중계점 2
 
1.4%
농협하나로마트 2
 
1.4%
농협/하나로마트 2
 
1.4%
뉴코아아울렛/강남점 2
 
1.4%
빅마켓/도봉점 1
 
0.7%
빅마켓/금천점 1
 
0.7%
Other values (90) 90
61.2%
2023-12-11T17:29:45.625435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 93
 
9.1%
/ 70
 
6.9%
마 67
 
6.6%
트 64
 
6.3%
이 34
 
3.3%
백 34
 
3.3%
화 34
 
3.3%
스 27
 
2.6%
플 22
 
2.2%
러 21
 
2.1%
Other values (159) 554
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
89.2%
Other Punctuation 70
 
6.9%
Decimal Number 26
 
2.5%
Uppercase Letter 14
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 93
 
10.2%
마 67
 
7.4%
트 64
 
7.0%
이 34
 
3.7%
백 34
 
3.7%
화 34
 
3.7%
스 27
 
3.0%
플 22
 
2.4%
러 21
 
2.3%
롯 21
 
2.3%
Other values (146) 493
54.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
14.3%
S 2
14.3%
T 2
14.3%
K 2
14.3%
E 2
14.3%
O 1
7.1%
C 1
7.1%
N 1
7.1%
W 1
7.1%
Decimal Number
ValueCountFrequency (%)
0 12
46.2%
2 7
26.9%
1 7
26.9%
Other Punctuation
ValueCountFrequency (%)
/ 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
89.2%
Common 96
 
9.4%
Latin 14
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 93
 
10.2%
마 67
 
7.4%
트 64
 
7.0%
이 34
 
3.7%
백 34
 
3.7%
화 34
 
3.7%
스 27
 
3.0%
플 22
 
2.4%
러 21
 
2.3%
롯 21
 
2.3%
Other values (146) 493
54.2%
Latin
ValueCountFrequency (%)
A 2
14.3%
S 2
14.3%
T 2
14.3%
K 2
14.3%
E 2
14.3%
O 1
7.1%
C 1
7.1%
N 1
7.1%
W 1
7.1%
Common
ValueCountFrequency (%)
/ 70
72.9%
0 12
 
12.5%
2 7
 
7.3%
1 7
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
89.2%
ASCII 110
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 93
 
10.2%
마 67
 
7.4%
트 64
 
7.0%
이 34
 
3.7%
백 34
 
3.7%
화 34
 
3.7%
스 27
 
3.0%
플 22
 
2.4%
러 21
 
2.3%
롯 21
 
2.3%
Other values (146) 493
54.2%
ASCII
ValueCountFrequency (%)
/ 70
63.6%
0 12
 
10.9%
2 7
 
6.4%
1 7
 
6.4%
A 2
 
1.8%
S 2
 
1.8%
T 2
 
1.8%
K 2
 
1.8%
E 2
 
1.8%
O 1
 
0.9%
Other values (3) 3
 
2.7%

명칭
Text

Distinct99
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T17:29:45.917613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.462585
Min length3

Characters and Unicode

Total characters950
Distinct characters168
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)62.6%

Sample

1st row월드면세백화점
2nd row잡곡종합백화점
3rd row청량리현대코아
4th row태평백화점
5th row행복한백화점
ValueCountFrequency (%)
이마트 29
 
19.7%
롯데백화점 9
 
6.1%
현대백화점 6
 
4.1%
농협하나로마트 4
 
2.7%
신세계백화점 3
 
2.0%
프랑코페라도2001아울렛중계점 2
 
1.4%
뉴코아아울렛강남점 2
 
1.4%
롯데마트서울역점 1
 
0.7%
월드면세백화점 1
 
0.7%
롯데마트삼양점 1
 
0.7%
Other values (89) 89
60.5%
2023-12-11T17:29:46.362263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 93
 
9.8%
마 67
 
7.1%
트 64
 
6.7%
이 34
 
3.6%
백 34
 
3.6%
화 34
 
3.6%
스 27
 
2.8%
플 22
 
2.3%
롯 21
 
2.2%
데 21
 
2.2%
Other values (158) 533
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
95.8%
Decimal Number 26
 
2.7%
Uppercase Letter 14
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 93
 
10.2%
마 67
 
7.4%
트 64
 
7.0%
이 34
 
3.7%
백 34
 
3.7%
화 34
 
3.7%
스 27
 
3.0%
플 22
 
2.4%
롯 21
 
2.3%
데 21
 
2.3%
Other values (146) 493
54.2%
Uppercase Letter
ValueCountFrequency (%)
K 2
14.3%
S 2
14.3%
E 2
14.3%
A 2
14.3%
T 2
14.3%
W 1
7.1%
C 1
7.1%
O 1
7.1%
N 1
7.1%
Decimal Number
ValueCountFrequency (%)
0 12
46.2%
2 7
26.9%
1 7
26.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
95.8%
Common 26
 
2.7%
Latin 14
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 93
 
10.2%
마 67
 
7.4%
트 64
 
7.0%
이 34
 
3.7%
백 34
 
3.7%
화 34
 
3.7%
스 27
 
3.0%
플 22
 
2.4%
롯 21
 
2.3%
데 21
 
2.3%
Other values (146) 493
54.2%
Latin
ValueCountFrequency (%)
K 2
14.3%
S 2
14.3%
E 2
14.3%
A 2
14.3%
T 2
14.3%
W 1
7.1%
C 1
7.1%
O 1
7.1%
N 1
7.1%
Common
ValueCountFrequency (%)
0 12
46.2%
2 7
26.9%
1 7
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
95.8%
ASCII 40
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 93
 
10.2%
마 67
 
7.4%
트 64
 
7.0%
이 34
 
3.7%
백 34
 
3.7%
화 34
 
3.7%
스 27
 
3.0%
플 22
 
2.4%
롯 21
 
2.3%
데 21
 
2.3%
Other values (146) 493
54.2%
ASCII
ValueCountFrequency (%)
0 12
30.0%
2 7
17.5%
1 7
17.5%
K 2
 
5.0%
S 2
 
5.0%
E 2
 
5.0%
A 2
 
5.0%
T 2
 
5.0%
W 1
 
2.5%
C 1
 
2.5%
Other values (2) 2
 
5.0%

행정 시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시
147 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 147
100.0%

Length

2023-12-11T17:29:46.536549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:29:46.667246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 147
100.0%

행정 구
Categorical

Distinct25
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
영등포구
15 
양천구
10 
노원구
 
9
강동구
 
8
중랑구
 
8
Other values (20)
97 

Length

Max length4
Median length3
Mean length3.122449
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row용산구
2nd row양천구
3rd row동대문구
4th row동작구
5th row양천구

Common Values

ValueCountFrequency (%)
영등포구 15
 
10.2%
양천구 10
 
6.8%
노원구 9
 
6.1%
강동구 8
 
5.4%
중랑구 8
 
5.4%
강남구 8
 
5.4%
강서구 8
 
5.4%
금천구 7
 
4.8%
동대문구 7
 
4.8%
서초구 7
 
4.8%
Other values (15) 60
40.8%

Length

2023-12-11T17:29:46.809575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영등포구 15
 
10.2%
양천구 10
 
6.8%
노원구 9
 
6.1%
강동구 8
 
5.4%
중랑구 8
 
5.4%
강남구 8
 
5.4%
강서구 8
 
5.4%
금천구 7
 
4.8%
동대문구 7
 
4.8%
서초구 7
 
4.8%
Other values (15) 60
40.8%

행정 동
Text

Distinct101
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T17:29:47.126225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.8367347
Min length2

Characters and Unicode

Total characters564
Distinct characters106
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)48.3%

Sample

1st row남영동
2nd row신정3동
3rd row청량리동
4th row사당2동
5th row목1동
ValueCountFrequency (%)
중계2.3동 5
 
3.4%
목1동 5
 
3.4%
영등포동 5
 
3.4%
가산동 4
 
2.7%
양재2동 4
 
2.7%
천호2동 3
 
2.0%
문정2동 3
 
2.0%
방화2동 3
 
2.0%
반포3동 2
 
1.4%
신도림동 2
 
1.4%
Other values (91) 111
75.5%
2023-12-11T17:29:47.569687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 147
26.1%
2 38
 
6.7%
1 35
 
6.2%
3 20
 
3.5%
양 11
 
2.0%
신 11
 
2.0%
계 9
 
1.6%
포 9
 
1.6%
목 9
 
1.6%
산 9
 
1.6%
Other values (96) 266
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
79.8%
Decimal Number 106
 
18.8%
Other Punctuation 8
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 147
32.7%
양 11
 
2.4%
신 11
 
2.4%
계 9
 
2.0%
포 9
 
2.0%
목 9
 
2.0%
산 9
 
2.0%
등 8
 
1.8%
정 8
 
1.8%
가 8
 
1.8%
Other values (89) 221
49.1%
Decimal Number
ValueCountFrequency (%)
2 38
35.8%
1 35
33.0%
3 20
18.9%
5 6
 
5.7%
4 6
 
5.7%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
79.8%
Common 114
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 147
32.7%
양 11
 
2.4%
신 11
 
2.4%
계 9
 
2.0%
포 9
 
2.0%
목 9
 
2.0%
산 9
 
2.0%
등 8
 
1.8%
정 8
 
1.8%
가 8
 
1.8%
Other values (89) 221
49.1%
Common
ValueCountFrequency (%)
2 38
33.3%
1 35
30.7%
3 20
17.5%
. 8
 
7.0%
5 6
 
5.3%
4 6
 
5.3%
6 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
79.8%
ASCII 114
 
20.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 147
32.7%
양 11
 
2.4%
신 11
 
2.4%
계 9
 
2.0%
포 9
 
2.0%
목 9
 
2.0%
산 9
 
2.0%
등 8
 
1.8%
정 8
 
1.8%
가 8
 
1.8%
Other values (89) 221
49.1%
ASCII
ValueCountFrequency (%)
2 38
33.3%
1 35
30.7%
3 20
17.5%
. 8
 
7.0%
5 6
 
5.3%
4 6
 
5.3%
6 1
 
0.9%

Correlations

2023-12-11T17:29:47.674303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류2분류3검색어명칭행정 구
분류21.0001.0001.0001.0000.372
분류31.0001.0001.0001.0000.558
검색어1.0001.0001.0001.0000.319
명칭1.0001.0001.0001.0000.370
행정 구0.3720.5580.3190.3701.000
2023-12-11T17:29:47.803180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류3분류2행정 구
분류31.0000.9390.173
분류20.9391.0000.187
행정 구0.1730.1871.000
2023-12-11T17:29:47.919082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류2분류3행정 구
분류21.0000.9390.187
분류30.9391.0000.173
행정 구0.1870.1731.000

Missing values

2023-12-11T17:29:43.232770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T17:29:43.414142image/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.

Sample

키분류1분류2분류3검색어명칭행정 시행정 구행정 동
0BE_IW17-0102쇼핑/여가/가정백화점백화점 일반월드면세백화점월드면세백화점서울특별시용산구남영동
1BE_IW17-0103쇼핑/여가/가정백화점백화점 일반잡곡종합백화점잡곡종합백화점서울특별시양천구신정3동
2BE_IW17-0104쇼핑/여가/가정백화점백화점 일반청량리현대코아청량리현대코아서울특별시동대문구청량리동
3BE_IW17-0105쇼핑/여가/가정백화점백화점 일반태평백화점태평백화점서울특별시동작구사당2동
4BE_IW17-0106쇼핑/여가/가정백화점백화점 일반행복한백화점행복한백화점서울특별시양천구목1동
5BE_IW17-0107쇼핑/여가/가정백화점신세계백화점신세계백화점신세계백화점서울특별시중구명동
6BE_IW17-0108쇼핑/여가/가정백화점신세계백화점신세계백화점신세계백화점서울특별시영등포구영등포동
7BE_IW17-0109쇼핑/여가/가정백화점신세계백화점신세계백화점신세계백화점서울특별시서초구반포4동
8BE_IW17-0110쇼핑/여가/가정백화점신세계백화점신세계백화점/신관신세계백화점신관서울특별시중구명동
9BE_IW17-0111쇼핑/여가/가정백화점롯데백화점롯데백화점롯데백화점서울특별시강남구대치4동
키분류1분류2분류3검색어명칭행정 시행정 구행정 동
137BE_IW17-0092쇼핑/여가/가정할인매장코스트코코스트코세일/양재점코스트코세일양재점서울특별시서초구양재2동
138BE_IW17-0093쇼핑/여가/가정할인매장코스트코코스트코세일/양평점코스트코세일양평점서울특별시영등포구양평1동
139BE_IW17-0094쇼핑/여가/가정할인매장코스트코코스트코/양평점코스트코양평점서울특별시영등포구양평1동
140BE_IW17-0095쇼핑/여가/가정할인매장브랜드할인매장 기타강변/테크노마트강변테크노마트서울특별시광진구구의3동
141BE_IW17-0096쇼핑/여가/가정백화점백화점 일반건영/옴니백화점건영옴니백화점서울특별시노원구중계2.3동
142BE_IW17-0097쇼핑/여가/가정백화점백화점 일반경방/타임스퀘어경방타임스퀘어서울특별시영등포구영등포동
143BE_IW17-0098쇼핑/여가/가정백화점백화점 일반동방백화점동방백화점서울특별시동대문구제기동
144BE_IW17-0099쇼핑/여가/가정백화점백화점 일반선플라자백화점선플라자백화점서울특별시영등포구대림1동
145BE_IW17-0100쇼핑/여가/가정백화점백화점 일반세운백화점세운백화점서울특별시종로구종로1.2.3.4가동
146BE_IW17-0101쇼핑/여가/가정백화점백화점 일반여의도백화점여의도백화점서울특별시영등포구여의동