Overview

Dataset statistics

Number of variables11
Number of observations404
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.8 KiB
Average record size in memory88.3 B

Variable types

Text3
Categorical7
DateTime1

Dataset

Description본 데이터는 전통시장 및 상점가 육성을 위한 특별법에 따라 시행되는 실태조사 자료 중 지하도상점가 조사 결과 자료 입니다.
URLhttps://www.data.go.kr/data/15118623/fileData.do

Alerts

기준일자 has constant value ""Constant
취급상품 has a high cardinality: 51 distinct valuesHigh cardinality
취급상품 is highly overall correlated with 개설주기High correlation
개설주기 is highly overall correlated with 취급상품High correlation
구분 is highly overall correlated with 정기 휴일 유무 and 2 other fieldsHigh correlation
정기 휴일 유무 is highly overall correlated with 구분High correlation
CCTV_보유여부 is highly overall correlated with 구분High correlation
공동화장실_보유여부 is highly overall correlated with 구분High correlation
개설주기 is highly imbalanced (91.4%)Imbalance
취급상품 is highly imbalanced (65.4%)Imbalance

Reproduction

Analysis started2023-12-12 13:11:55.608938
Analysis finished2023-12-12 13:11:56.718631
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시장명
Text

Distinct401
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:11:56.899710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.1856436
Min length3

Characters and Unicode

Total characters3307
Distinct characters299
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique399 ?
Unique (%)98.8%

Sample

1st row충장로상점가
2nd row산본로데오거리상인회
3rd row종로광장전통시장
4th row성안길상점가
5th row방산시장
ValueCountFrequency (%)
상점가 46
 
8.5%
골목형 11
 
2.0%
상인회 9
 
1.7%
골목형상점가 8
 
1.5%
거리 7
 
1.3%
지하상가 6
 
1.1%
한솔동 4
 
0.7%
지하도상가 3
 
0.6%
중앙로 3
 
0.6%
대현프리몰 3
 
0.6%
Other values (436) 444
81.6%
2023-12-12T22:11:57.347895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 361
 
10.9%
가 335
 
10.1%
점 202
 
6.1%
140
 
4.2%
동 91
 
2.8%
지 81
 
2.4%
리 74
 
2.2%
장 64
 
1.9%
시 62
 
1.9%
하 62
 
1.9%
Other values (289) 1835
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3116
94.2%
Space Separator 140
 
4.2%
Decimal Number 30
 
0.9%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Dash Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 361
 
11.6%
가 335
 
10.8%
점 202
 
6.5%
동 91
 
2.9%
지 81
 
2.6%
리 74
 
2.4%
장 64
 
2.1%
시 62
 
2.0%
하 62
 
2.0%
골 61
 
2.0%
Other values (274) 1723
55.3%
Decimal Number
ValueCountFrequency (%)
1 7
23.3%
3 7
23.3%
5 5
16.7%
6 3
10.0%
2 3
10.0%
4 3
10.0%
7 2
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3116
94.2%
Common 187
 
5.7%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 361
 
11.6%
가 335
 
10.8%
점 202
 
6.5%
동 91
 
2.9%
지 81
 
2.6%
리 74
 
2.4%
장 64
 
2.1%
시 62
 
2.0%
하 62
 
2.0%
골 61
 
2.0%
Other values (274) 1723
55.3%
Common
ValueCountFrequency (%)
140
74.9%
( 7
 
3.7%
1 7
 
3.7%
) 7
 
3.7%
3 7
 
3.7%
5 5
 
2.7%
- 3
 
1.6%
6 3
 
1.6%
2 3
 
1.6%
4 3
 
1.6%
Latin
ValueCountFrequency (%)
B 1
25.0%
s 1
25.0%
S 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3116
94.2%
ASCII 191
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 361
 
11.6%
가 335
 
10.8%
점 202
 
6.5%
동 91
 
2.9%
지 81
 
2.6%
리 74
 
2.4%
장 64
 
2.1%
시 62
 
2.0%
하 62
 
2.0%
골 61
 
2.0%
Other values (274) 1723
55.3%
ASCII
ValueCountFrequency (%)
140
73.3%
( 7
 
3.7%
1 7
 
3.7%
) 7
 
3.7%
3 7
 
3.7%
5 5
 
2.6%
- 3
 
1.6%
6 3
 
1.6%
2 3
 
1.6%
4 3
 
1.6%
Other values (5) 6
 
3.1%

개설주기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
상설
397 
상설+정기
 
6
정기
 
1

Length

Max length5
Median length2
Mean length2.0445545
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
상설 397
98.3%
상설+정기 6
 
1.5%
정기 1
 
0.2%

Length

2023-12-12T22:11:57.520795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:11:57.657162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상설 397
98.3%
상설+정기 6
 
1.5%
정기 1
 
0.2%

주소
Text

Distinct399
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:11:57.996186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length20.173267
Min length11

Characters and Unicode

Total characters8150
Distinct characters241
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique397 ?
Unique (%)98.3%

Sample

1st row광주광역시 동구 충장로 4가 46
2nd row경기도 군포시 산본동 1131-2
3rd row서울특별시 종로구 예지동 2-1
4th row충청북도 청주시 상당구 서문동 109-6
5th row서울특별시 중구 주교동 250-1 일대
ValueCountFrequency (%)
서울특별시 91
 
5.1%
경기도 73
 
4.1%
중구 57
 
3.2%
인천광역시 36
 
2.0%
일원 33
 
1.8%
동구 21
 
1.2%
부산광역시 20
 
1.1%
대전광역시 20
 
1.1%
전라남도 20
 
1.1%
광주광역시 20
 
1.1%
Other values (917) 1401
78.2%
2023-12-12T22:11:58.495973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1417
 
17.4%
시 393
 
4.8%
동 392
 
4.8%
1 366
 
4.5%
- 292
 
3.6%
구 281
 
3.4%
2 223
 
2.7%
도 189
 
2.3%
3 173
 
2.1%
광 150
 
1.8%
Other values (231) 4274
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4805
59.0%
Decimal Number 1632
 
20.0%
Space Separator 1417
 
17.4%
Dash Punctuation 292
 
3.6%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 393
 
8.2%
동 392
 
8.2%
구 281
 
5.8%
도 189
 
3.9%
광 150
 
3.1%
서 139
 
2.9%
역 132
 
2.7%
별 109
 
2.3%
남 109
 
2.3%
경 109
 
2.3%
Other values (218) 2802
58.3%
Decimal Number
ValueCountFrequency (%)
1 366
22.4%
2 223
13.7%
3 173
10.6%
4 147
9.0%
6 135
 
8.3%
5 130
 
8.0%
7 124
 
7.6%
9 123
 
7.5%
8 120
 
7.4%
0 91
 
5.6%
Space Separator
ValueCountFrequency (%)
1417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4805
59.0%
Common 3345
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 393
 
8.2%
동 392
 
8.2%
구 281
 
5.8%
도 189
 
3.9%
광 150
 
3.1%
서 139
 
2.9%
역 132
 
2.7%
별 109
 
2.3%
남 109
 
2.3%
경 109
 
2.3%
Other values (218) 2802
58.3%
Common
ValueCountFrequency (%)
1417
42.4%
1 366
 
10.9%
- 292
 
8.7%
2 223
 
6.7%
3 173
 
5.2%
4 147
 
4.4%
6 135
 
4.0%
5 130
 
3.9%
7 124
 
3.7%
9 123
 
3.7%
Other values (3) 215
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4805
59.0%
ASCII 3345
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1417
42.4%
1 366
 
10.9%
- 292
 
8.7%
2 223
 
6.7%
3 173
 
5.2%
4 147
 
4.4%
6 135
 
4.0%
5 130
 
3.9%
7 124
 
3.7%
9 123
 
3.7%
Other values (3) 215
 
6.4%
Hangul
ValueCountFrequency (%)
시 393
 
8.2%
동 392
 
8.2%
구 281
 
5.8%
도 189
 
3.9%
광 150
 
3.1%
서 139
 
2.9%
역 132
 
2.7%
별 109
 
2.3%
남 109
 
2.3%
경 109
 
2.3%
Other values (218) 2802
58.3%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
상점가
266 
골목형상점가
70 
지하도상점가
68 

Length

Max length6
Median length3
Mean length4.0247525
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상점가 266
65.8%
골목형상점가 70
 
17.3%
지하도상점가 68
 
16.8%

Length

2023-12-12T22:11:58.669899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:11:58.802520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상점가 266
65.8%
골목형상점가 70
 
17.3%
지하도상점가 68
 
16.8%

취급상품
Categorical

HIGH CARDINALITY  HIGH CORRELATION  IMBALANCE 

Distinct51
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
302 
의류
 
29
음식점
 
13
음식
 
4
자동차용품
 
3
Other values (46)
53 

Length

Max length21
Median length4
Mean length3.950495
Min length1

Unique

Unique40 ?
Unique (%)9.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row포장 인쇄

Common Values

ValueCountFrequency (%)
<NA> 302
74.8%
의류 29
 
7.2%
음식점 13
 
3.2%
음식 4
 
1.0%
자동차용품 3
 
0.7%
수산물 3
 
0.7%
공구 2
 
0.5%
의류, 음식점 2
 
0.5%
가구 2
 
0.5%
전자제품 2
 
0.5%
Other values (41) 42
 
10.4%

Length

2023-12-12T22:11:58.946872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 302
70.1%
의류 36
 
8.4%
음식점 19
 
4.4%
음식 4
 
0.9%
수산물 4
 
0.9%
자동차용품 3
 
0.7%
공산품 2
 
0.5%
신발 2
 
0.5%
완구 2
 
0.5%
기계공구 2
 
0.5%
Other values (52) 55
 
12.8%

전체 점포 수
Text

Distinct217
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:11:59.386196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.5866337
Min length1

Characters and Unicode

Total characters1045
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)30.0%

Sample

1st row1,860
2nd row1,816
3rd row1,775
4th row1,747
5th row1,650
ValueCountFrequency (%)
65 7
 
1.7%
61 7
 
1.7%
62 6
 
1.5%
85 6
 
1.5%
40 6
 
1.5%
70 6
 
1.5%
102 5
 
1.2%
80 5
 
1.2%
30 5
 
1.2%
50 5
 
1.2%
Other values (207) 346
85.6%
2023-12-12T22:11:59.923496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 193
18.5%
0 144
13.8%
5 107
10.2%
2 106
10.1%
6 95
9.1%
4 95
9.1%
3 86
8.2%
7 81
7.8%
8 77
 
7.4%
9 53
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1037
99.2%
Other Punctuation 8
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 193
18.6%
0 144
13.9%
5 107
10.3%
2 106
10.2%
6 95
9.2%
4 95
9.2%
3 86
8.3%
7 81
7.8%
8 77
 
7.4%
9 53
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1045
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 193
18.5%
0 144
13.8%
5 107
10.2%
2 106
10.1%
6 95
9.1%
4 95
9.1%
3 86
8.2%
7 81
7.8%
8 77
 
7.4%
9 53
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 193
18.5%
0 144
13.8%
5 107
10.2%
2 106
10.1%
6 95
9.1%
4 95
9.1%
3 86
8.2%
7 81
7.8%
8 77
 
7.4%
9 53
 
5.1%

정기 휴일 유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
없음
290 
있음
114 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row있음
2nd row없음
3rd row있음
4th row없음
5th row있음

Common Values

ValueCountFrequency (%)
없음 290
71.8%
있음 114
 
28.2%

Length

2023-12-12T22:12:00.052636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:12:00.371390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 290
71.8%
있음 114
 
28.2%

CCTV_보유여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
보유
319 
미보유
85 

Length

Max length3
Median length2
Mean length2.210396
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보유
2nd row보유
3rd row보유
4th row보유
5th row미보유

Common Values

ValueCountFrequency (%)
보유 319
79.0%
미보유 85
 
21.0%

Length

2023-12-12T22:12:00.457880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:12:00.553064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보유 319
79.0%
미보유 85
 
21.0%

공동화장실_보유여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
보유
262 
미보유
142 

Length

Max length3
Median length2
Mean length2.3514851
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보유 262
64.9%
미보유 142
35.1%

Length

2023-12-12T22:12:00.672143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:12:00.785123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보유 262
64.9%
미보유 142
35.1%

시장전용 고객주차장_보유여부
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
미보유
207 
보유
197 

Length

Max length3
Median length3
Mean length2.5123762
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보유
2nd row보유
3rd row보유
4th row보유
5th row미보유

Common Values

ValueCountFrequency (%)
미보유 207
51.2%
보유 197
48.8%

Length

2023-12-12T22:12:00.912862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:12:01.037363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미보유 207
51.2%
보유 197
48.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2023-12-12T22:12:01.200125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:12:01.363996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T22:12:01.443700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개설주기구분취급상품정기 휴일 유무CCTV_보유여부공동화장실_보유여부시장전용 고객주차장_보유여부
개설주기1.0000.220NaN0.0000.0000.0410.069
구분0.2201.0000.7400.3220.3510.3350.242
취급상품NaN0.7401.0000.5570.4870.0000.000
정기 휴일 유무0.0000.3220.5571.0000.3340.4740.000
CCTV_보유여부0.0000.3510.4870.3341.0000.5200.328
공동화장실_보유여부0.0410.3350.0000.4740.5201.0000.639
시장전용 고객주차장_보유여부0.0690.2420.0000.0000.3280.6391.000
2023-12-12T22:12:01.560398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
취급상품개설주기구분시장전용 고객주차장_보유여부공동화장실_보유여부CCTV_보유여부정기 휴일 유무
취급상품1.0001.0000.3610.0000.0000.2730.316
개설주기1.0001.0000.0700.1150.0680.0000.000
구분0.3610.0701.0000.3950.5350.5590.517
시장전용 고객주차장_보유여부0.0000.1150.3951.0000.4410.2130.000
공동화장실_보유여부0.0000.0680.5350.4411.0000.3480.314
CCTV_보유여부0.2730.0000.5590.2130.3481.0000.217
정기 휴일 유무0.3160.0000.5170.0000.3140.2171.000
2023-12-12T22:12:01.693734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개설주기구분취급상품정기 휴일 유무CCTV_보유여부공동화장실_보유여부시장전용 고객주차장_보유여부
개설주기1.0000.0701.0000.0000.0000.0680.115
구분0.0701.0000.3610.5170.5590.5350.395
취급상품1.0000.3611.0000.3160.2730.0000.000
정기 휴일 유무0.0000.5170.3161.0000.2170.3140.000
CCTV_보유여부0.0000.5590.2730.2171.0000.3480.213
공동화장실_보유여부0.0680.5350.0000.3140.3481.0000.441
시장전용 고객주차장_보유여부0.1150.3950.0000.0000.2130.4411.000

Missing values

2023-12-12T22:11:56.431644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:11:56.631264image/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

시장명개설주기주소구분취급상품전체 점포 수정기 휴일 유무CCTV_보유여부공동화장실_보유여부시장전용 고객주차장_보유여부기준일자
0충장로상점가상설광주광역시 동구 충장로 4가 46상점가<NA>1,860있음보유보유보유2023-08-14
1산본로데오거리상인회상설경기도 군포시 산본동 1131-2상점가<NA>1,816없음보유보유보유2023-08-14
2종로광장전통시장상설서울특별시 종로구 예지동 2-1상점가<NA>1,775있음보유보유보유2023-08-14
3성안길상점가상설충청북도 청주시 상당구 서문동 109-6상점가<NA>1,747없음보유보유보유2023-08-14
4방산시장상설서울특별시 중구 주교동 250-1 일대상점가포장 인쇄1,650있음미보유보유미보유2023-08-14
5향남2지구상점가상설경기도 화성시 향남읍 하길리 1467 일원상점가<NA>1,500없음보유보유미보유2023-08-14
6오정동 상점가상설대전광역시 대덕구 오정동 78-2상점가건축특화거리1,180있음보유보유보유2023-08-14
7평촌1번가상설경기도 안양시 동안구 호계동 1045-7상점가<NA>1,006없음보유보유보유2023-08-14
8중앙상점가상설경기도 이천시 창전동 157-17상점가<NA>992없음보유보유보유2023-08-14
9선부광장로상점가상설경기도 안산시 단원구 선부동 1077상점가<NA>962없음보유보유보유2023-08-14
시장명개설주기주소구분취급상품전체 점포 수정기 휴일 유무CCTV_보유여부공동화장실_보유여부시장전용 고객주차장_보유여부기준일자
394용원어시장상점가상설경상남도 창원시 진해구 용원동로 일원 218 223 226상점가수산물 횟센타30없음보유보유보유2023-08-14
395배다리지하도공예상가상설인천광역시 동구 금곡동 10-1지하도상점가공예품 강의30없음보유보유보유2023-08-14
396탁옥로 골목형 상점가상설인천광역시 서구 심곡동 335-5골목형상점가<NA>30없음미보유미보유미보유2023-08-14
397강변상인회상설경기도 여주시 홍문동 5-3상점가<NA>29없음보유미보유보유2023-08-14
398부산공동어시장상점가상설부산광역시 서구 남부민동 691-3상점가수산물25있음보유보유보유2023-08-14
399필동골목형상점가상설서울특별시 중구 필동3가 30-2골목형상점가<NA>24없음보유보유미보유2023-08-14
400부강상가시장상설충청북도 단양군 단양읍 별곡리 570-1상점가<NA>22없음보유보유미보유2023-08-14
401정읍산외한우마을상설전라북도 정읍시 산외면 평사리 458-2상점가축산19있음보유보유보유2023-08-14
402영암꿈틀상점가상설전라남도 영암군 영암읍 동무리 72 일원상점가음식점8있음보유보유보유2023-08-14
403모란민속5일장정기경기도 성남시 중원구 성남동 4214골목형상점가<NA>0없음보유보유미보유2023-08-14