Overview

Dataset statistics

Number of variables28
Number of observations1408
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory308.1 KiB
Average record size in memory224.1 B

Variable types

Text3
Categorical1
Boolean24

Dataset

Description전국 전통시장에 대한 데이터로 전통시장의 주소, 시장개설주기, 점포수, 취급품목, 공중화장실 및 주차장 보유 여부를 제공합니다.
URLhttps://www.data.go.kr/data/15052837/fileData.do

Alerts

시장유형 has constant value ""Constant
화재감지기 보유여부 is highly imbalanced (57.2%)Imbalance
외국인 안내센터_보유여부 is highly imbalanced (65.2%)Imbalance

Reproduction

Analysis started2023-12-12 15:47:22.075768
Analysis finished2023-12-12 15:47:23.071080
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1369
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-13T00:47:23.309753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.0163352
Min length2

Characters and Unicode

Total characters8471
Distinct characters392
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1341 ?
Unique (%)95.2%

Sample

1st row서울남대문시장
2nd row인천산업용품유통센터
3rd row동대문종합시장
4th row르네시떼
5th row평화시장
ValueCountFrequency (%)
중앙시장 14
 
0.9%
전통시장 10
 
0.6%
시장 10
 
0.6%
종합시장 7
 
0.5%
5일시장 6
 
0.4%
상인회 6
 
0.4%
골목시장 4
 
0.3%
부산 4
 
0.3%
강남시장 4
 
0.3%
인천 4
 
0.3%
Other values (1422) 1474
95.5%
2023-12-13T00:47:23.850512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1322
 
15.6%
1303
 
15.4%
205
 
2.4%
172
 
2.0%
166
 
2.0%
157
 
1.9%
146
 
1.7%
138
 
1.6%
135
 
1.6%
110
 
1.3%
Other values (382) 4617
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8210
96.9%
Space Separator 135
 
1.6%
Decimal Number 55
 
0.6%
Close Punctuation 33
 
0.4%
Open Punctuation 31
 
0.4%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1322
 
16.1%
1303
 
15.9%
205
 
2.5%
172
 
2.1%
166
 
2.0%
157
 
1.9%
146
 
1.8%
138
 
1.7%
110
 
1.3%
106
 
1.3%
Other values (365) 4385
53.4%
Decimal Number
ValueCountFrequency (%)
5 27
49.1%
1 11
20.0%
2 10
 
18.2%
3 3
 
5.5%
4 2
 
3.6%
9 1
 
1.8%
0 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
T 1
25.0%
A 1
25.0%
B 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
a 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8210
96.9%
Common 254
 
3.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1322
 
16.1%
1303
 
15.9%
205
 
2.5%
172
 
2.1%
166
 
2.0%
157
 
1.9%
146
 
1.8%
138
 
1.7%
110
 
1.3%
106
 
1.3%
Other values (365) 4385
53.4%
Common
ValueCountFrequency (%)
135
53.1%
) 33
 
13.0%
( 31
 
12.2%
5 27
 
10.6%
1 11
 
4.3%
2 10
 
3.9%
3 3
 
1.2%
4 2
 
0.8%
9 1
 
0.4%
0 1
 
0.4%
Latin
ValueCountFrequency (%)
D 1
14.3%
m 1
14.3%
a 1
14.3%
e 1
14.3%
T 1
14.3%
A 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8210
96.9%
ASCII 261
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1322
 
16.1%
1303
 
15.9%
205
 
2.5%
172
 
2.1%
166
 
2.0%
157
 
1.9%
146
 
1.8%
138
 
1.7%
110
 
1.3%
106
 
1.3%
Other values (365) 4385
53.4%
ASCII
ValueCountFrequency (%)
135
51.7%
) 33
 
12.6%
( 31
 
11.9%
5 27
 
10.3%
1 11
 
4.2%
2 10
 
3.8%
3 3
 
1.1%
4 2
 
0.8%
9 1
 
0.4%
D 1
 
0.4%
Other values (7) 7
 
2.7%

시장유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
전통시장
1408 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통시장 1408
100.0%

Length

2023-12-13T00:47:24.034258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:47:24.170224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통시장 1408
100.0%
Distinct1401
Distinct (%)99.8%
Missing4
Missing (%)0.3%
Memory size11.1 KiB
2023-12-13T00:47:24.624702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length20.345442
Min length13

Characters and Unicode

Total characters28565
Distinct characters352
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1398 ?
Unique (%)99.6%

Sample

1st row서울특별시 중구 남대문시장4길 21 일대
2nd row인천광역시 동구 방축로 83번길 23
3rd row서울특별시 종로구 종로 266 동대문종합시장
4th row부산광역시 사상구 광장로7
5th row서울특별시 중구 청계천로 274 일대
ValueCountFrequency (%)
서울특별시 206
 
3.2%
부산광역시 166
 
2.6%
경상남도 158
 
2.5%
경기도 148
 
2.3%
경상북도 136
 
2.1%
대구광역시 99
 
1.5%
전라남도 93
 
1.4%
중구 79
 
1.2%
창원시 65
 
1.0%
강원도 62
 
1.0%
Other values (2574) 5215
81.1%
2023-12-13T00:47:25.307212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5154
 
18.0%
1317
 
4.6%
1 1098
 
3.8%
1081
 
3.8%
954
 
3.3%
885
 
3.1%
858
 
3.0%
2 730
 
2.6%
3 533
 
1.9%
491
 
1.7%
Other values (342) 15464
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18251
63.9%
Space Separator 5154
 
18.0%
Decimal Number 4831
 
16.9%
Dash Punctuation 326
 
1.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1317
 
7.2%
1081
 
5.9%
954
 
5.2%
885
 
4.8%
858
 
4.7%
491
 
2.7%
486
 
2.7%
482
 
2.6%
477
 
2.6%
407
 
2.2%
Other values (328) 10813
59.2%
Decimal Number
ValueCountFrequency (%)
1 1098
22.7%
2 730
15.1%
3 533
11.0%
4 454
9.4%
6 395
 
8.2%
5 391
 
8.1%
7 352
 
7.3%
8 319
 
6.6%
0 295
 
6.1%
9 264
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
5154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18251
63.9%
Common 10311
36.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1317
 
7.2%
1081
 
5.9%
954
 
5.2%
885
 
4.8%
858
 
4.7%
491
 
2.7%
486
 
2.7%
482
 
2.6%
477
 
2.6%
407
 
2.2%
Other values (328) 10813
59.2%
Common
ValueCountFrequency (%)
5154
50.0%
1 1098
 
10.6%
2 730
 
7.1%
3 533
 
5.2%
4 454
 
4.4%
6 395
 
3.8%
5 391
 
3.8%
7 352
 
3.4%
- 326
 
3.2%
8 319
 
3.1%
Other values (2) 559
 
5.4%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18251
63.9%
ASCII 10314
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5154
50.0%
1 1098
 
10.6%
2 730
 
7.1%
3 533
 
5.2%
4 454
 
4.4%
6 395
 
3.8%
5 391
 
3.8%
7 352
 
3.4%
- 326
 
3.2%
8 319
 
3.1%
Other values (4) 562
 
5.4%
Hangul
ValueCountFrequency (%)
1317
 
7.2%
1081
 
5.9%
954
 
5.2%
885
 
4.8%
858
 
4.7%
491
 
2.7%
486
 
2.7%
482
 
2.6%
477
 
2.6%
407
 
2.2%
Other values (328) 10813
59.2%
Distinct1402
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-13T00:47:25.760541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length20.115057
Min length13

Characters and Unicode

Total characters28322
Distinct characters313
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1396 ?
Unique (%)99.1%

Sample

1st row서울특별시 중구 남창동 49-1 일대
2nd row인천광역시 동구 송림동 294
3rd row서울특별시 종로구 종로6가 289-3 동대
4th row부산광역시 사상구 괘법동 529-1
5th row서울특별시 중구 을지로6가 17-48 일대
ValueCountFrequency (%)
서울특별시 206
 
3.3%
부산광역시 166
 
2.7%
경상남도 158
 
2.5%
경기도 148
 
2.4%
경상북도 137
 
2.2%
대구광역시 100
 
1.6%
전라남도 95
 
1.5%
중구 79
 
1.3%
창원시 66
 
1.1%
강원도 62
 
1.0%
Other values (2870) 5027
80.5%
2023-12-13T00:47:26.341190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4853
 
17.1%
1 1252
 
4.4%
1210
 
4.3%
1190
 
4.2%
- 1099
 
3.9%
943
 
3.3%
871
 
3.1%
2 769
 
2.7%
3 656
 
2.3%
4 555
 
2.0%
Other values (303) 14924
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16596
58.6%
Decimal Number 5770
 
20.4%
Space Separator 4853
 
17.1%
Dash Punctuation 1099
 
3.9%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1210
 
7.3%
1190
 
7.2%
943
 
5.7%
871
 
5.2%
505
 
3.0%
484
 
2.9%
479
 
2.9%
475
 
2.9%
408
 
2.5%
405
 
2.4%
Other values (289) 9626
58.0%
Decimal Number
ValueCountFrequency (%)
1 1252
21.7%
2 769
13.3%
3 656
11.4%
4 555
9.6%
5 499
 
8.6%
6 479
 
8.3%
7 430
 
7.5%
8 396
 
6.9%
0 372
 
6.4%
9 362
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
4853
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1099
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16596
58.6%
Common 11722
41.4%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1210
 
7.3%
1190
 
7.2%
943
 
5.7%
871
 
5.2%
505
 
3.0%
484
 
2.9%
479
 
2.9%
475
 
2.9%
408
 
2.5%
405
 
2.4%
Other values (289) 9626
58.0%
Common
ValueCountFrequency (%)
4853
41.4%
1 1252
 
10.7%
- 1099
 
9.4%
2 769
 
6.6%
3 656
 
5.6%
4 555
 
4.7%
5 499
 
4.3%
6 479
 
4.1%
7 430
 
3.7%
8 396
 
3.4%
Other values (2) 734
 
6.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16596
58.6%
ASCII 11726
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4853
41.4%
1 1252
 
10.7%
- 1099
 
9.4%
2 769
 
6.6%
3 656
 
5.6%
4 555
 
4.7%
5 499
 
4.3%
6 479
 
4.1%
7 430
 
3.7%
8 396
 
3.4%
Other values (4) 738
 
6.3%
Hangul
ValueCountFrequency (%)
1210
 
7.3%
1190
 
7.2%
943
 
5.7%
871
 
5.2%
505
 
3.0%
484
 
2.9%
479
 
2.9%
475
 
2.9%
408
 
2.5%
405
 
2.4%
Other values (289) 9626
58.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
934 
False
474 
ValueCountFrequency (%)
True 934
66.3%
False 474
33.7%
2023-12-13T00:47:26.504685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1163 
True
245 
ValueCountFrequency (%)
False 1163
82.6%
True 245
 
17.4%
2023-12-13T00:47:26.635615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1037 
False
371 
ValueCountFrequency (%)
True 1037
73.7%
False 371
 
26.3%
2023-12-13T00:47:26.749510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
738 
False
670 
ValueCountFrequency (%)
True 738
52.4%
False 670
47.6%
2023-12-13T00:47:26.857880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화재감지기 보유여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1285 
False
 
123
ValueCountFrequency (%)
True 1285
91.3%
False 123
 
8.7%
2023-12-13T00:47:26.989007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1037 
False
371 
ValueCountFrequency (%)
True 1037
73.7%
False 371
 
26.3%
2023-12-13T00:47:27.126830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1194 
True
214 
ValueCountFrequency (%)
False 1194
84.8%
True 214
 
15.2%
2023-12-13T00:47:27.248644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1031 
True
377 
ValueCountFrequency (%)
False 1031
73.2%
True 377
 
26.8%
2023-12-13T00:47:27.375631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
744 
True
664 
ValueCountFrequency (%)
False 744
52.8%
True 664
47.2%
2023-12-13T00:47:27.480790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1174 
True
234 
ValueCountFrequency (%)
False 1174
83.4%
True 234
 
16.6%
2023-12-13T00:47:27.580426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1134 
True
274 
ValueCountFrequency (%)
False 1134
80.5%
True 274
 
19.5%
2023-12-13T00:47:27.676790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
911 
True
497 
ValueCountFrequency (%)
False 911
64.7%
True 497
35.3%
2023-12-13T00:47:27.809923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1199 
True
209 
ValueCountFrequency (%)
False 1199
85.2%
True 209
 
14.8%
2023-12-13T00:47:27.930719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1206 
True
202 
ValueCountFrequency (%)
False 1206
85.7%
True 202
 
14.3%
2023-12-13T00:47:28.018436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1062 
True
346 
ValueCountFrequency (%)
False 1062
75.4%
True 346
 
24.6%
2023-12-13T00:47:28.106766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1316 
True
 
92
ValueCountFrequency (%)
False 1316
93.5%
True 92
 
6.5%
2023-12-13T00:47:28.194903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1073 
False
335 
ValueCountFrequency (%)
True 1073
76.2%
False 335
 
23.8%
2023-12-13T00:47:28.290360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1154 
False
254 
ValueCountFrequency (%)
True 1154
82.0%
False 254
 
18.0%
2023-12-13T00:47:28.393442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1073 
True
335 
ValueCountFrequency (%)
False 1073
76.2%
True 335
 
23.8%
2023-12-13T00:47:28.801776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
1190 
True
218 
ValueCountFrequency (%)
False 1190
84.5%
True 218
 
15.5%
2023-12-13T00:47:28.892887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1185 
False
223 
ValueCountFrequency (%)
True 1185
84.2%
False 223
 
15.8%
2023-12-13T00:47:28.997090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
969 
False
439 
ValueCountFrequency (%)
True 969
68.8%
False 439
31.2%
2023-12-13T00:47:29.089773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
1127 
False
281 
ValueCountFrequency (%)
True 1127
80.0%
False 281
 
20.0%
2023-12-13T00:47:29.191910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
False
931 
True
477 
ValueCountFrequency (%)
False 931
66.1%
True 477
33.9%
2023-12-13T00:47:29.287663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

시장명시장유형소재지도로명주소소재지지번주소아케이드 보유 여부엘리베이터/에스컬레이터_보유여부고객지원센터 보유 여부스프링쿨러 보유 현황화재감지기 보유여부고객지원센터_보유여부유아놀이방_보유여부종합콜센터_보유여부고객휴게실_보유여부수유센터_보유여부물품보관함_보유여부자전거보관함_보유여부체육시설_보유여부간이 도서관_보유여부쇼핑카트_보유여부외국인 안내센터_보유여부고객동선통로_보유여부방송센터_보유여부문화교실_보유여부공동물류창고_보유여부시장전용 고객주차장_보유여부교육장_보유여부회의실_보유여부자동심장충격기_보유여부
0서울남대문시장전통시장서울특별시 중구 남대문시장4길 21 일대서울특별시 중구 남창동 49-1 일대NYYYYYNYYYNNNNNYYYNNNYYN
1인천산업용품유통센터전통시장인천광역시 동구 방축로 83번길 23인천광역시 동구 송림동 294YYYYYYNYYNNNYNNNYYNNYYYN
2동대문종합시장전통시장서울특별시 종로구 종로 266 동대문종합시장서울특별시 종로구 종로6가 289-3 동대YYYYYYNYYYYNNNNYYYNNYYYY
3르네시떼전통시장부산광역시 사상구 광장로7부산광역시 사상구 괘법동 529-1NYYYYYYYYYNYNYNYYYYYYYYY
4평화시장전통시장서울특별시 중구 청계천로 274 일대서울특별시 중구 을지로6가 17-48 일대NYYYYYNYYNYNYNNNYYNNYNYN
5영등포 유통상가전통시장서울특별시 영등포구 영등포로 109 당산동2가서울특별시 영등포구 당산동2가 30-2 영등포유통상가NYYYYYNNNNYYNNNNYYNNYYYY
6서문시장2지구종합상가전통시장대구광역시 중구 큰장로26길25대구광역시 중구 대신동 2105YYYYYYYYYYNYYNNNYYYNYYYY
7부산자유시장전통시장부산광역시 동구 조방로 48부산광역시 동구 범일동 830-24NYYYYYYYYYNYNYNNYYYYYYYN
8포항중앙상가전통시장경상북도 포항시 북구 중앙상가길64경상북도 포항시 북구 상원동 468-23NNYNNYNNYYNYYNNNYYYNYYYN
9산업용재관(대구기계공구상협동조합)전통시장대구광역시 북구 유통단지로 16대구광역시 북구 산격동 1629NYYYYYNYYNYYYYNNYYYYYYYY
시장명시장유형소재지도로명주소소재지지번주소아케이드 보유 여부엘리베이터/에스컬레이터_보유여부고객지원센터 보유 여부스프링쿨러 보유 현황화재감지기 보유여부고객지원센터_보유여부유아놀이방_보유여부종합콜센터_보유여부고객휴게실_보유여부수유센터_보유여부물품보관함_보유여부자전거보관함_보유여부체육시설_보유여부간이 도서관_보유여부쇼핑카트_보유여부외국인 안내센터_보유여부고객동선통로_보유여부방송센터_보유여부문화교실_보유여부공동물류창고_보유여부시장전용 고객주차장_보유여부교육장_보유여부회의실_보유여부자동심장충격기_보유여부
1398공산면5일 전통시장전통시장<NA>전라남도 나주시 공산면 금곡리 862-14NNNNNNNNNNNNNNNNNNNNNNNN
1399좌일5일시장전통시장전라남도 해남군 북일면 만월길 26-1전라남도 해남군 북일면 흥촌리 161YNYNYYNNNNNNNNNNYYNNYNYN
1400예산시장전통시장충청남도 예산군 예산읍 형제고개로 967충청남도 예산군 예산읍 예산리 333-1YNYNYYNNYNYNNNNNYYNYYYYN
1401곡천공설시장전통시장울산광역시 울주군 웅촌면 곡천동문길 20-22울산광역시 울주군 웅촌면 곡천리320-2YNYNNYNNNNNNNNNNYNNNYNNN
1402금곡시장전통시장경상남도 진주시 금곡면 구암두문로 1021-9경상남도 진주시 금곡면 두문리 639-1NNNNYNNNNNNNNNNNYNNNYNNN
1403웅천시장전통시장경상남도 창원시 진해구 웅천중로56번길 8경상남도 창원시 진해구 성내동 327YNNNNNNNNNNNNNNNNNNNYNNN
1404진례전통시장전통시장경상남도 김해시 진례면 송현로 6-1경상남도 김해시 진례면 송정리 239-3YNNNYNNNNNYNNNNNNNNNYNNN
1405세지5일시장전통시장<NA>전라남도 나주시 세지면 오봉리 246-3NNNNYNNNNNNNNNNNNNNNNNNN
1406용산시장전통시장전라남도 장흥군 용산면 용인길 4전라남도 장흥군 용산면 인암리 800-1NNNYYNNNNNNNNNNNNNNNYNNN
1407장평시장전통시장전라남도 장흥군 장평면 장택길 7전라남도 장흥군 장평면 양촌리 224NNNYYNNNNNNNNNNNNNNNYNNN