Overview

Dataset statistics

Number of variables18
Number of observations1528
Missing cells1421
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory219.5 KiB
Average record size in memory147.1 B

Variable types

Text5
Categorical6
Numeric3
Boolean2
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author소상공인시장진흥공단
URLhttps://www.data.go.kr/data/15012894/standard.do

Alerts

제공기관명 is highly overall correlated with 시장유형 and 4 other fieldsHigh correlation
공중화장실보유여부 is highly overall correlated with 홈페이지주소High correlation
홈페이지주소 is highly overall correlated with 위도 and 7 other fieldsHigh correlation
제공기관코드 is highly overall correlated with 시장유형 and 4 other fieldsHigh correlation
위도 is highly overall correlated with 사용가능상품권 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 홈페이지주소High correlation
점포수 is highly overall correlated with 사용가능상품권 and 1 other fieldsHigh correlation
시장유형 is highly overall correlated with 시장개설주기 and 4 other fieldsHigh correlation
시장개설주기 is highly overall correlated with 시장유형 and 2 other fieldsHigh correlation
사용가능상품권 is highly overall correlated with 위도 and 5 other fieldsHigh correlation
시장유형 is highly imbalanced (53.3%)Imbalance
시장개설주기 is highly imbalanced (64.9%)Imbalance
사용가능상품권 is highly imbalanced (84.5%)Imbalance
홈페이지주소 is highly imbalanced (94.5%)Imbalance
공중화장실보유여부 is highly imbalanced (69.0%)Imbalance
제공기관코드 is highly imbalanced (84.3%)Imbalance
제공기관명 is highly imbalanced (84.3%)Imbalance
개설연도 has 588 (38.5%) missing valuesMissing
전화번호 has 798 (52.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:52:06.639285
Analysis finished2023-12-12 19:52:10.518962
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시장명
Text

Distinct1417
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-13T04:52:10.750991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.9626963
Min length2

Characters and Unicode

Total characters9111
Distinct characters393
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1322 ?
Unique (%)86.5%

Sample

1st row구월도매전통시장
2nd row제천역전한마음시장
3rd row만물의거리시장
4th row호계공설시장
5th row두류 신시장
ValueCountFrequency (%)
중앙시장 14
 
0.8%
전통시장 10
 
0.6%
시장 10
 
0.6%
종합시장 7
 
0.4%
5일시장 6
 
0.4%
상인회 6
 
0.4%
서동시장 4
 
0.2%
강남시장 4
 
0.2%
부산 4
 
0.2%
동부시장 4
 
0.2%
Other values (1470) 1594
95.9%
2023-12-13T04:52:11.239799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1431
 
15.7%
시 1411
 
15.5%
전 233
 
2.6%
통 196
 
2.2%
상 175
 
1.9%
산 172
 
1.9%
동 158
 
1.7%
가 146
 
1.6%
135
 
1.5%
중 118
 
1.3%
Other values (383) 4936
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8842
97.0%
Space Separator 135
 
1.5%
Decimal Number 57
 
0.6%
Close Punctuation 33
 
0.4%
Open Punctuation 31
 
0.3%
Other Symbol 6
 
0.1%
Uppercase Letter 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1431
 
16.2%
시 1411
 
16.0%
전 233
 
2.6%
통 196
 
2.2%
상 175
 
2.0%
산 172
 
1.9%
동 158
 
1.8%
가 146
 
1.7%
중 118
 
1.3%
합 113
 
1.3%
Other values (365) 4689
53.0%
Decimal Number
ValueCountFrequency (%)
5 27
47.4%
1 12
21.1%
2 11
19.3%
3 3
 
5.3%
4 2
 
3.5%
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%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8848
97.1%
Common 256
 
2.8%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1431
 
16.2%
시 1411
 
15.9%
전 233
 
2.6%
통 196
 
2.2%
상 175
 
2.0%
산 172
 
1.9%
동 158
 
1.8%
가 146
 
1.7%
중 118
 
1.3%
합 113
 
1.3%
Other values (366) 4695
53.1%
Common
ValueCountFrequency (%)
135
52.7%
) 33
 
12.9%
( 31
 
12.1%
5 27
 
10.5%
1 12
 
4.7%
2 11
 
4.3%
3 3
 
1.2%
4 2
 
0.8%
9 1
 
0.4%
0 1
 
0.4%
Latin
ValueCountFrequency (%)
m 1
14.3%
a 1
14.3%
D 1
14.3%
e 1
14.3%
T 1
14.3%
A 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8842
97.0%
ASCII 263
 
2.9%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1431
 
16.2%
시 1411
 
16.0%
전 233
 
2.6%
통 196
 
2.2%
상 175
 
2.0%
산 172
 
1.9%
동 158
 
1.8%
가 146
 
1.7%
중 118
 
1.3%
합 113
 
1.3%
Other values (365) 4689
53.0%
ASCII
ValueCountFrequency (%)
135
51.3%
) 33
 
12.5%
( 31
 
11.8%
5 27
 
10.3%
1 12
 
4.6%
2 11
 
4.2%
3 3
 
1.1%
4 2
 
0.8%
9 1
 
0.4%
m 1
 
0.4%
Other values (7) 7
 
2.7%
None
ValueCountFrequency (%)
㈜ 6
100.0%

시장유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
상설장
1079 
5일장
368 
상설장+5일장
 
79
상설+오일장
 
1
상설
 
1

Length

Max length7
Median length3
Mean length3.2081152
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row상설장
2nd row5일장
3rd row상설장
4th row상설장+5일장
5th row상설장

Common Values

ValueCountFrequency (%)
상설장 1079
70.6%
5일장 368
 
24.1%
상설장+5일장 79
 
5.2%
상설+오일장 1
 
0.1%
상설 1
 
0.1%

Length

2023-12-13T04:52:11.427246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:52:11.563645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상설장 1079
70.6%
5일장 368
 
24.1%
상설장+5일장 79
 
5.2%
상설+오일장 1
 
0.1%
상설 1
 
0.1%

소재지도로명주소
Text

Distinct1484
Distinct (%)98.1%
Missing15
Missing (%)1.0%
Memory size12.1 KiB
2023-12-13T04:52:12.002660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length20.382683
Min length13

Characters and Unicode

Total characters30839
Distinct characters355
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

Unique1455 ?
Unique (%)96.2%

Sample

1st row인천광역시 남동구 인하로521번길 10-15
2nd row충청북도 제천시 내토로 28길 12
3rd row부산광역시 중구 국제시장 2길24-1
4th row울산광역시 북구 호계3길 17-11
5th row대구광역시 달서구 당산동길 27
ValueCountFrequency (%)
서울특별시 212
 
3.1%
부산광역시 165
 
2.4%
경기도 162
 
2.3%
경상남도 158
 
2.3%
경상북도 144
 
2.1%
전라남도 114
 
1.6%
대구광역시 104
 
1.5%
중구 95
 
1.4%
울산광역시 77
 
1.1%
창원시 65
 
0.9%
Other values (2653) 5619
81.3%
2023-12-13T04:52:12.661581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5403
 
17.5%
시 1414
 
4.6%
1 1186
 
3.8%
로 1144
 
3.7%
구 1007
 
3.3%
길 972
 
3.2%
도 928
 
3.0%
2 769
 
2.5%
3 557
 
1.8%
남 534
 
1.7%
Other values (345) 16925
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19881
64.5%
Space Separator 5403
 
17.5%
Decimal Number 5150
 
16.7%
Dash Punctuation 345
 
1.1%
Close Punctuation 28
 
0.1%
Open Punctuation 28
 
0.1%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1414
 
7.1%
로 1144
 
5.8%
구 1007
 
5.1%
길 972
 
4.9%
도 928
 
4.7%
남 534
 
2.7%
광 529
 
2.7%
산 526
 
2.6%
경 504
 
2.5%
역 453
 
2.3%
Other values (328) 11870
59.7%
Decimal Number
ValueCountFrequency (%)
1 1186
23.0%
2 769
14.9%
3 557
10.8%
4 496
9.6%
6 426
 
8.3%
5 415
 
8.1%
7 387
 
7.5%
8 334
 
6.5%
0 307
 
6.0%
9 273
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
5403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19881
64.5%
Common 10955
35.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1414
 
7.1%
로 1144
 
5.8%
구 1007
 
5.1%
길 972
 
4.9%
도 928
 
4.7%
남 534
 
2.7%
광 529
 
2.7%
산 526
 
2.6%
경 504
 
2.5%
역 453
 
2.3%
Other values (328) 11870
59.7%
Common
ValueCountFrequency (%)
5403
49.3%
1 1186
 
10.8%
2 769
 
7.0%
3 557
 
5.1%
4 496
 
4.5%
6 426
 
3.9%
5 415
 
3.8%
7 387
 
3.5%
- 345
 
3.1%
8 334
 
3.0%
Other values (5) 637
 
5.8%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19881
64.5%
ASCII 10958
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5403
49.3%
1 1186
 
10.8%
2 769
 
7.0%
3 557
 
5.1%
4 496
 
4.5%
6 426
 
3.9%
5 415
 
3.8%
7 387
 
3.5%
- 345
 
3.1%
8 334
 
3.0%
Other values (7) 640
 
5.8%
Hangul
ValueCountFrequency (%)
시 1414
 
7.1%
로 1144
 
5.8%
구 1007
 
5.1%
길 972
 
4.9%
도 928
 
4.7%
남 534
 
2.7%
광 529
 
2.7%
산 526
 
2.6%
경 504
 
2.5%
역 453
 
2.3%
Other values (328) 11870
59.7%

소재지지번주소
Text

Distinct1471
Distinct (%)97.0%
Missing12
Missing (%)0.8%
Memory size12.1 KiB
2023-12-13T04:52:13.149704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length20.24934
Min length13

Characters and Unicode

Total characters30698
Distinct characters314
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1426 ?
Unique (%)94.1%

Sample

1st row인천광역시 남동구 구월동 1176-14
2nd row충청북도 제천시 화산동 207-3
3rd row부산광역시 중구 신창동4가 10-5
4th row울산광역시 북구 호계동 869-1 호계공설시장
5th row대구광역시 달서구 성당동 706-21
ValueCountFrequency (%)
서울특별시 209
 
3.1%
부산광역시 166
 
2.5%
경기도 160
 
2.4%
경상남도 157
 
2.3%
경상북도 147
 
2.2%
전라남도 114
 
1.7%
대구광역시 105
 
1.6%
중구 94
 
1.4%
울산광역시 82
 
1.2%
창원시 65
 
1.0%
Other values (2926) 5429
80.7%
2023-12-13T04:52:13.899557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5212
 
17.0%
1 1340
 
4.4%
시 1290
 
4.2%
동 1270
 
4.1%
- 1197
 
3.9%
구 989
 
3.2%
도 935
 
3.0%
2 820
 
2.7%
3 706
 
2.3%
4 605
 
2.0%
Other values (304) 16334
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18045
58.8%
Decimal Number 6238
 
20.3%
Space Separator 5212
 
17.0%
Dash Punctuation 1197
 
3.9%
Uppercase Letter 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1290
 
7.1%
동 1270
 
7.0%
구 989
 
5.5%
도 935
 
5.2%
남 545
 
3.0%
산 539
 
3.0%
광 527
 
2.9%
경 497
 
2.8%
리 465
 
2.6%
역 454
 
2.5%
Other values (289) 10534
58.4%
Decimal Number
ValueCountFrequency (%)
1 1340
21.5%
2 820
13.1%
3 706
11.3%
4 605
9.7%
5 547
8.8%
6 525
 
8.4%
7 459
 
7.4%
8 437
 
7.0%
0 405
 
6.5%
9 394
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%
Space Separator
ValueCountFrequency (%)
5212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1197
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18045
58.8%
Common 12649
41.2%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1290
 
7.1%
동 1270
 
7.0%
구 989
 
5.5%
도 935
 
5.2%
남 545
 
3.0%
산 539
 
3.0%
광 527
 
2.9%
경 497
 
2.8%
리 465
 
2.6%
역 454
 
2.5%
Other values (289) 10534
58.4%
Common
ValueCountFrequency (%)
5212
41.2%
1 1340
 
10.6%
- 1197
 
9.5%
2 820
 
6.5%
3 706
 
5.6%
4 605
 
4.8%
5 547
 
4.3%
6 525
 
4.2%
7 459
 
3.6%
8 437
 
3.5%
Other values (3) 801
 
6.3%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18045
58.8%
ASCII 12653
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5212
41.2%
1 1340
 
10.6%
- 1197
 
9.5%
2 820
 
6.5%
3 706
 
5.6%
4 605
 
4.8%
5 547
 
4.3%
6 525
 
4.1%
7 459
 
3.6%
8 437
 
3.5%
Other values (5) 805
 
6.4%
Hangul
ValueCountFrequency (%)
시 1290
 
7.1%
동 1270
 
7.0%
구 989
 
5.5%
도 935
 
5.2%
남 545
 
3.0%
산 539
 
3.0%
광 527
 
2.9%
경 497
 
2.8%
리 465
 
2.6%
역 454
 
2.5%
Other values (289) 10534
58.4%

시장개설주기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct31
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
매일
1073 
2일+7일
 
93
4일+9일
 
90
3일+8일
 
85
5일+10일
 
83
Other values (26)
 
104

Length

Max length11
Median length2
Mean length2.9705497
Min length2

Unique

Unique18 ?
Unique (%)1.2%

Sample

1st row매일
2nd row3일+8일
3rd row매일
4th row매일+6일
5th row매일

Common Values

ValueCountFrequency (%)
매일 1073
70.2%
2일+7일 93
 
6.1%
4일+9일 90
 
5.9%
3일+8일 85
 
5.6%
5일+10일 83
 
5.4%
매일+6일 67
 
4.4%
매일+5일 7
 
0.5%
1일+6일 2
 
0.1%
매일+5일, 10일 2
 
0.1%
상설 2
 
0.1%
Other values (21) 24
 
1.6%

Length

2023-12-13T04:52:14.114117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매일 1074
69.7%
2일+7일 93
 
6.0%
4일+9일 90
 
5.8%
3일+8일 85
 
5.5%
5일+10일 84
 
5.5%
매일+6일 67
 
4.4%
매일+5일 9
 
0.6%
상설 6
 
0.4%
및 4
 
0.3%
10일 2
 
0.1%
Other values (22) 26
 
1.7%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1499
Distinct (%)98.4%
Missing4
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean36.218282
Minimum33.220607
Maximum38.447839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-13T04:52:14.296219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.220607
5-th percentile34.764256
Q135.217883
median35.994568
Q337.428185
95-th percentile37.665942
Maximum38.447839
Range5.2272322
Interquartile range (IQR)2.2103015

Descriptive statistics

Standard deviation1.0842964
Coefficient of variation (CV)0.02993782
Kurtosis-1.0207303
Mean36.218282
Median Absolute Deviation (MAD)0.85839328
Skewness-0.017668942
Sum55196.662
Variance1.1756987
MonotonicityNot monotonic
2023-12-13T04:52:14.512215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56738265 3
 
0.2%
38.23946579 2
 
0.1%
37.43033963 2
 
0.1%
34.74059589 2
 
0.1%
34.76419709 2
 
0.1%
34.73814206 2
 
0.1%
36.67723471 2
 
0.1%
37.63072891 2
 
0.1%
37.50195711 2
 
0.1%
35.57119003 2
 
0.1%
Other values (1489) 1503
98.4%
(Missing) 4
 
0.3%
ValueCountFrequency (%)
33.22060697 1
0.1%
33.22206691 1
0.1%
33.25014898 1
0.1%
33.2505829 1
0.1%
33.26778949 1
0.1%
33.3227172 1
0.1%
33.41564699 1
0.1%
33.41983247 1
0.1%
33.45186232 1
0.1%
33.49681229 1
0.1%
ValueCountFrequency (%)
38.44783915 1
0.1%
38.37999652 1
0.1%
38.23946579 2
0.1%
38.2089859 1
0.1%
38.2089011 1
0.1%
38.20880978 2
0.1%
38.20540373 1
0.1%
38.20475131 1
0.1%
38.20452186 1
0.1%
38.20452183 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1502
Distinct (%)98.6%
Missing4
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean127.85854
Minimum126.20698
Maximum129.554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-13T04:52:14.682365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.20698
5-th percentile126.6119
Q1126.97866
median127.72139
Q3128.69568
95-th percentile129.32848
Maximum129.554
Range3.3470194
Interquartile range (IQR)1.7170248

Descriptive statistics

Standard deviation0.95487536
Coefficient of variation (CV)0.0074682174
Kurtosis-1.4953063
Mean127.85854
Median Absolute Deviation (MAD)0.8551784
Skewness0.16102044
Sum194856.41
Variance0.91178694
MonotonicityNot monotonic
2023-12-13T04:52:14.892157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0197632 3
 
0.2%
127.6641226 2
 
0.1%
129.0305837 2
 
0.1%
126.8494508 2
 
0.1%
127.7317636 2
 
0.1%
129.3284088 2
 
0.1%
127.0226681 2
 
0.1%
129.3421097 2
 
0.1%
129.3462928 2
 
0.1%
126.8511199 2
 
0.1%
Other values (1492) 1503
98.4%
(Missing) 4
 
0.3%
ValueCountFrequency (%)
126.2069818 1
0.1%
126.2482128 1
0.1%
126.2545138 1
0.1%
126.2569326 1
0.1%
126.2647729 1
0.1%
126.2649053 1
0.1%
126.2745037 1
0.1%
126.296659 1
0.1%
126.2968099 1
0.1%
126.2984693858 1
0.1%
ValueCountFrequency (%)
129.5540012 1
0.1%
129.5020144 1
0.1%
129.4636507 1
0.1%
129.4496146 1
0.1%
129.4442274 1
0.1%
129.4424364 1
0.1%
129.4412152 1
0.1%
129.430723 1
0.1%
129.4285507 1
0.1%
129.4280925 1
0.1%

점포수
Real number (ℝ)

HIGH CORRELATION 

Distinct361
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.91099
Minimum0
Maximum5111
Zeros8
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.6 KiB
2023-12-13T04:52:15.113174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q153
median87
Q3145
95-th percentile421
Maximum5111
Range5111
Interquartile range (IQR)92

Descriptive statistics

Standard deviation286.31592
Coefficient of variation (CV)1.9099061
Kurtosis139.2653
Mean149.91099
Median Absolute Deviation (MAD)42
Skewness9.9601745
Sum229064
Variance81976.807
MonotonicityNot monotonic
2023-12-13T04:52:15.325807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 28
 
1.8%
70 25
 
1.6%
100 21
 
1.4%
40 20
 
1.3%
65 19
 
1.2%
53 19
 
1.2%
60 17
 
1.1%
55 17
 
1.1%
90 17
 
1.1%
62 16
 
1.0%
Other values (351) 1329
87.0%
ValueCountFrequency (%)
0 8
0.5%
1 1
 
0.1%
2 1
 
0.1%
4 3
 
0.2%
5 5
0.3%
6 2
 
0.1%
7 2
 
0.1%
8 2
 
0.1%
9 6
0.4%
10 3
 
0.2%
ValueCountFrequency (%)
5111 1
 
0.1%
4735 1
 
0.1%
4300 1
 
0.1%
2620 1
 
0.1%
2070 3
0.2%
1560 1
 
0.1%
1518 1
 
0.1%
1483 1
 
0.1%
1400 1
 
0.1%
1328 1
 
0.1%

취급품목
Text

Distinct387
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
2023-12-13T04:52:15.740046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length16.271597
Min length2

Characters and Unicode

Total characters24863
Distinct characters208
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique241 ?
Unique (%)15.8%

Sample

1st row축산물+수산물+가공식품
2nd row농산물+축산물+수산물+가공식품+의류+음식점
3rd row농산물+축산물+수산물+가공식품+신발+가정용품+음식점
4th row농산물+수산물
5th row농산물+축산물+가공식품+음식점
ValueCountFrequency (%)
농산물+축산물+수산물+가공식품+의류+신발+가정용품+음식점 179
 
9.5%
등 92
 
4.9%
농산물+축산물+수산물 52
 
2.8%
농산물+축산물+수산물+가공식품+음식점 51
 
2.7%
잡화 48
 
2.6%
의류 44
 
2.3%
농산물 44
 
2.3%
농산물+축산물+수산물+가공식품 36
 
1.9%
농산물+축산물+수산물+가공식품+의류 36
 
1.9%
농산물+축산물+수산물+가공식품+의류+음식점 34
 
1.8%
Other values (433) 1261
67.2%
2023-12-13T04:52:16.391555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 4671
18.8%
산 2746
11.0%
물 2731
11.0%
식 1638
 
6.6%
품 1306
 
5.3%
가 1257
 
5.1%
농 1082
 
4.4%
수 895
 
3.6%
점 872
 
3.5%
음 864
 
3.5%
Other values (198) 6801
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19601
78.8%
Math Symbol 4671
 
18.8%
Space Separator 365
 
1.5%
Other Punctuation 220
 
0.9%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2746
14.0%
물 2731
13.9%
식 1638
 
8.4%
품 1306
 
6.7%
가 1257
 
6.4%
농 1082
 
5.5%
수 895
 
4.6%
점 872
 
4.4%
음 864
 
4.4%
축 816
 
4.2%
Other values (191) 5394
27.5%
Other Punctuation
ValueCountFrequency (%)
, 216
98.2%
· 3
 
1.4%
. 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 4671
100.0%
Space Separator
ValueCountFrequency (%)
365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19601
78.8%
Common 5262
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2746
14.0%
물 2731
13.9%
식 1638
 
8.4%
품 1306
 
6.7%
가 1257
 
6.4%
농 1082
 
5.5%
수 895
 
4.6%
점 872
 
4.4%
음 864
 
4.4%
축 816
 
4.2%
Other values (191) 5394
27.5%
Common
ValueCountFrequency (%)
+ 4671
88.8%
365
 
6.9%
, 216
 
4.1%
· 3
 
0.1%
) 3
 
0.1%
( 3
 
0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19601
78.8%
ASCII 5259
 
21.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 4671
88.8%
365
 
6.9%
, 216
 
4.1%
) 3
 
0.1%
( 3
 
0.1%
. 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
산 2746
14.0%
물 2731
13.9%
식 1638
 
8.4%
품 1306
 
6.7%
가 1257
 
6.4%
농 1082
 
5.5%
수 895
 
4.6%
점 872
 
4.4%
음 864
 
4.4%
축 816
 
4.2%
Other values (191) 5394
27.5%
None
ValueCountFrequency (%)
· 3
100.0%

사용가능상품권
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1420 
온누리상품권
 
51
여수지역사랑상품권, 온누리상품권
 
16
온누리상품권+전자상품권
 
11
온누리 상품권
 
11
Other values (6)
 
19

Length

Max length22
Median length4
Mean length4.4136126
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1420
92.9%
온누리상품권 51
 
3.3%
여수지역사랑상품권, 온누리상품권 16
 
1.0%
온누리상품권+전자상품권 11
 
0.7%
온누리 상품권 11
 
0.7%
온누리상품권+울산페이+제로페이 9
 
0.6%
지역화폐, 온누리상품권 4
 
0.3%
온누리, 태안사랑상품권 3
 
0.2%
전통시장 상품권+온누리상품권 1
 
0.1%
온누리상품권+화천사랑상품권+화천시장상품권 1
 
0.1%

Length

2023-12-13T04:52:16.596617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1420
90.9%
온누리상품권 71
 
4.5%
여수지역사랑상품권 16
 
1.0%
온누리 14
 
0.9%
온누리상품권+전자상품권 11
 
0.7%
상품권 11
 
0.7%
온누리상품권+울산페이+제로페이 9
 
0.6%
지역화폐 4
 
0.3%
태안사랑상품권 3
 
0.2%
전통시장 1
 
0.1%
Other values (3) 3
 
0.2%

홈페이지주소
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct17
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
<NA>
1495 
https://www.usc.go.kr/tour/sights/detail.tc?/mn=385&idx=189&protocol=http
 
10
해당사항없음
 
5
없음
 
3
http://sokchomarket.com
 
2
Other values (12)
 
13

Length

Max length73
Median length4
Mean length4.6354712
Min length2

Unique

Unique11 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1495
97.8%
https://www.usc.go.kr/tour/sights/detail.tc?/mn=385&idx=189&protocol=http 10
 
0.7%
해당사항없음 5
 
0.3%
없음 3
 
0.2%
http://sokchomarket.com 2
 
0.1%
http://alpsmarket.net/ 2
 
0.1%
http://suam.co.kr/ 1
 
0.1%
http://www.yaumsijang.com/ 1
 
0.1%
http://www.ulsantools.com/ 1
 
0.1%
http://sinjung.dsso.kr/ 1
 
0.1%
Other values (7) 7
 
0.5%

Length

2023-12-13T04:52:16.760624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1495
97.8%
https://www.usc.go.kr/tour/sights/detail.tc?/mn=385&idx=189&protocol=http 10
 
0.7%
해당사항없음 5
 
0.3%
없음 3
 
0.2%
http://sokchomarket.com 2
 
0.1%
http://alpsmarket.net 2
 
0.1%
http://www.gurisijang.co.kr 1
 
0.1%
http://www.ihcmall.co.kr 1
 
0.1%
http://gochangmarket.com 1
 
0.1%
http://jukjeon-rodeo.com 1
 
0.1%
Other values (7) 7
 
0.5%

공중화장실보유여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1443 
False
 
85
ValueCountFrequency (%)
True 1443
94.4%
False 85
 
5.6%
2023-12-13T04:52:16.883941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차장보유여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1268 
False
260 
ValueCountFrequency (%)
True 1268
83.0%
False 260
 
17.0%
2023-12-13T04:52:16.991926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개설연도
Date

MISSING 

Distinct97
Distinct (%)10.3%
Missing588
Missing (%)38.5%
Memory size12.1 KiB
Minimum1887-01-01 00:00:00
Maximum2021-01-01 00:00:00
2023-12-13T04:52:17.121414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:17.263705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct659
Distinct (%)90.3%
Missing798
Missing (%)52.2%
Memory size12.1 KiB
2023-12-13T04:52:17.500454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.915068
Min length11

Characters and Unicode

Total characters8698
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

Unique606 ?
Unique (%)83.0%

Sample

1st row032-202-8982
2nd row043-647-2724
3rd row051-245-3156
4th row052-295-7398
5th row032-677-5992
ValueCountFrequency (%)
054-830-6233 10
 
1.4%
053-311-5803 6
 
0.8%
02-2232-9559 4
 
0.5%
031-980-2769 4
 
0.5%
02-754-7389 3
 
0.4%
02-2279-2193 3
 
0.4%
052-243-5678 2
 
0.3%
052-211-7804 2
 
0.3%
052-275-2868 2
 
0.3%
031-336-1110 2
 
0.3%
Other values (649) 692
94.8%
2023-12-13T04:52:17.924460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1460
16.8%
0 1229
14.1%
2 980
11.3%
5 934
10.7%
3 873
10.0%
1 644
7.4%
4 636
7.3%
6 625
7.2%
7 474
 
5.4%
8 461
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7238
83.2%
Dash Punctuation 1460
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1229
17.0%
2 980
13.5%
5 934
12.9%
3 873
12.1%
1 644
8.9%
4 636
8.8%
6 625
8.6%
7 474
 
6.5%
8 461
 
6.4%
9 382
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1460
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8698
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1460
16.8%
0 1229
14.1%
2 980
11.3%
5 934
10.7%
3 873
10.0%
1 644
7.4%
4 636
7.3%
6 625
7.2%
7 474
 
5.4%
8 461
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8698
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1460
16.8%
0 1229
14.1%
2 980
11.3%
5 934
10.7%
3 873
10.0%
1 644
7.4%
4 636
7.3%
6 625
7.2%
7 474
 
5.4%
8 461
 
5.3%

데이터기준일자
Date

Distinct17
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
Minimum2018-08-10 00:00:00
Maximum2023-07-25 00:00:00
2023-12-13T04:52:18.067639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:18.194153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

제공기관코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
B553077
1408 
6310000
 
42
4810000
 
16
5150000
 
10
4060000
 
7
Other values (13)
 
45

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowB553077
2nd rowB553077
3rd rowB553077
4th rowB553077
5th rowB553077

Common Values

ValueCountFrequency (%)
B553077 1408
92.1%
6310000 42
 
2.7%
4810000 16
 
1.0%
5150000 10
 
0.7%
4060000 7
 
0.5%
3090000 6
 
0.4%
4780000 6
 
0.4%
4880000 5
 
0.3%
3480000 5
 
0.3%
4300000 4
 
0.3%
Other values (8) 19
 
1.2%

Length

2023-12-13T04:52:18.332152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
b553077 1408
92.1%
6310000 42
 
2.7%
4810000 16
 
1.0%
5150000 10
 
0.7%
4060000 7
 
0.5%
3090000 6
 
0.4%
4780000 6
 
0.4%
4880000 5
 
0.3%
3480000 5
 
0.3%
4090000 4
 
0.3%
Other values (8) 19
 
1.2%

제공기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size12.1 KiB
소상공인시장진흥공단
1408 
울산광역시
 
42
전라남도 여수시
 
16
경상북도 의성군
 
10
경기도 파주시
 
7
Other values (13)
 
45

Length

Max length10
Median length10
Mean length9.7513089
Min length5

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
소상공인시장진흥공단 1408
92.1%
울산광역시 42
 
2.7%
전라남도 여수시 16
 
1.0%
경상북도 의성군 10
 
0.7%
경기도 파주시 7
 
0.5%
서울특별시 도봉구 6
 
0.4%
전라북도 고창군 6
 
0.4%
전라남도 고흥군 5
 
0.3%
대구광역시 달성군 5
 
0.3%
강원도 철원군 4
 
0.3%
Other values (8) 19
 
1.2%

Length

2023-12-13T04:52:18.499100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소상공인시장진흥공단 1408
87.7%
울산광역시 42
 
2.6%
전라남도 21
 
1.3%
경기도 18
 
1.1%
여수시 16
 
1.0%
경상북도 12
 
0.7%
의성군 10
 
0.6%
파주시 7
 
0.4%
강원도 7
 
0.4%
서울특별시 6
 
0.4%
Other values (16) 59
 
3.7%

Interactions

2023-12-13T04:52:09.176445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.456266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.793942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:09.317631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.561395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.919066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:09.473883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:08.683170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:52:09.042391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:52:18.631410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장유형시장개설주기위도경도점포수사용가능상품권홈페이지주소공중화장실보유여부주차장보유여부개설연도데이터기준일자제공기관코드제공기관명
시장유형1.0000.9670.4410.3470.0860.9060.9640.1050.1390.5310.7560.7590.759
시장개설주기0.9671.0000.4980.3520.0000.7830.0000.2110.1790.9460.9240.9300.930
위도0.4410.4981.0000.8150.0000.8270.9580.1870.2140.4770.6350.6450.645
경도0.3470.3520.8151.0000.0000.7760.9590.1540.2370.4580.5970.6020.602
점포수0.0860.0000.0000.0001.0001.0001.0000.0000.0500.3160.0000.0000.000
사용가능상품권0.9060.7830.8270.7761.0001.0001.0000.4750.3350.8710.9350.9490.949
홈페이지주소0.9640.0000.9580.9591.0001.0001.000NaN0.6080.7411.0001.0001.000
공중화장실보유여부0.1050.2110.1870.1540.0000.475NaN1.0000.4150.3910.4440.5060.506
주차장보유여부0.1390.1790.2140.2370.0500.3350.6080.4151.0000.3250.1730.2300.230
개설연도0.5310.9460.4770.4580.3160.8710.7410.3910.3251.0000.8750.8930.893
데이터기준일자0.7560.9240.6350.5970.0000.9351.0000.4440.1730.8751.0001.0001.000
제공기관코드0.7590.9300.6450.6020.0000.9491.0000.5060.2300.8931.0001.0001.000
제공기관명0.7590.9300.6450.6020.0000.9491.0000.5060.2300.8931.0001.0001.000
2023-12-13T04:52:18.822237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시장유형사용가능상품권제공기관명시장개설주기공중화장실보유여부홈페이지주소주차장보유여부제공기관코드
시장유형1.0000.5840.5140.8460.1280.6900.1700.514
사용가능상품권0.5841.0000.7520.3920.3500.7560.2460.752
제공기관명0.5140.7521.0000.5730.3990.8600.1801.000
시장개설주기0.8460.3920.5731.0000.1780.0000.1510.573
공중화장실보유여부0.1280.3500.3990.1781.0001.0000.2730.399
홈페이지주소0.6900.7560.8600.0001.0001.0000.3420.860
주차장보유여부0.1700.2460.1800.1510.2730.3421.0000.180
제공기관코드0.5140.7521.0000.5730.3990.8600.1801.000
2023-12-13T04:52:18.971823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도점포수시장유형시장개설주기사용가능상품권홈페이지주소공중화장실보유여부주차장보유여부제공기관코드제공기관명
위도1.000-0.3590.1070.1980.1970.5840.6900.1430.1640.3100.310
경도-0.3591.000-0.0090.1510.1300.4940.6970.1180.1810.2790.279
점포수0.107-0.0091.0000.0530.0000.9620.7410.0000.0380.0000.000
시장유형0.1980.1510.0531.0000.8460.5840.6900.1280.1700.5140.514
시장개설주기0.1970.1300.0000.8461.0000.3920.0000.1780.1510.5730.573
사용가능상품권0.5840.4940.9620.5840.3921.0000.7560.3500.2460.7520.752
홈페이지주소0.6900.6970.7410.6900.0000.7561.0001.0000.3420.8600.860
공중화장실보유여부0.1430.1180.0000.1280.1780.3501.0001.0000.2730.3990.399
주차장보유여부0.1640.1810.0380.1700.1510.2460.3420.2731.0000.1800.180
제공기관코드0.3100.2790.0000.5140.5730.7520.8600.3990.1801.0001.000
제공기관명0.3100.2790.0000.5140.5730.7520.8600.3990.1801.0001.000

Missing values

2023-12-13T04:52:09.629750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:52:09.916244image/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.
2023-12-13T04:52:10.399813image/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

시장명시장유형소재지도로명주소소재지지번주소시장개설주기위도경도점포수취급품목사용가능상품권홈페이지주소공중화장실보유여부주차장보유여부개설연도전화번호데이터기준일자제공기관코드제공기관명
0구월도매전통시장상설장인천광역시 남동구 인하로521번길 10-15인천광역시 남동구 구월동 1176-14매일37.443654126.70562973축산물+수산물+가공식품<NA><NA>NY<NA>032-202-89822023-07-25B553077소상공인시장진흥공단
1제천역전한마음시장5일장충청북도 제천시 내토로 28길 12충청북도 제천시 화산동 207-33일+8일37.128982128.20644673농산물+축산물+수산물+가공식품+의류+음식점<NA><NA>YY2005043-647-27242023-07-25B553077소상공인시장진흥공단
2만물의거리시장상설장부산광역시 중구 국제시장 2길24-1부산광역시 중구 신창동4가 10-5매일35.101485129.02855173농산물+축산물+수산물+가공식품+신발+가정용품+음식점<NA><NA>YY<NA>051-245-31562023-07-25B553077소상공인시장진흥공단
3호계공설시장상설장+5일장울산광역시 북구 호계3길 17-11울산광역시 북구 호계동 869-1 호계공설시장매일+6일35.623616129.35573873농산물+수산물<NA><NA>YY<NA>052-295-73982023-07-25B553077소상공인시장진흥공단
4두류 신시장상설장대구광역시 달서구 당산동길 27대구광역시 달서구 성당동 706-21매일35.845275128.54622573농산물+축산물+가공식품+음식점<NA><NA>NN<NA><NA>2023-07-25B553077소상공인시장진흥공단
5운암시장상설장광주광역시 북구 대자로 87광주광역시 북구 운암동 94-7매일35.173373126.88200473농산물+축산물+의류<NA><NA>YY<NA><NA>2023-07-25B553077소상공인시장진흥공단
6강남시장상설장서울특별시 강남구 압구정로 2길 46서울특별시 강남구 신사동 510-11매일37.518767127.020692112가공식품+가정용품+음식점<NA><NA>YY<NA><NA>2023-07-25B553077소상공인시장진흥공단
7고리울동굴시장상설장경기도 부천시 고리울로64번길 27경기도 부천시 오정구 고강동 407매일37.525844126.822772농산물+가공식품<NA><NA>NY<NA>032-677-59922023-07-25B553077소상공인시장진흥공단
8유구전통시장5일장충청남도 공주시 유구읍 시장길 28충청남도 공주시 유구읍 석남리 276-53일+8일36.552702126.95185672축산물+가공식품<NA><NA>YY2014<NA>2023-07-25B553077소상공인시장진흥공단
9보령동부시장상설장충청남도 보령시 구상가길 14-5충청남도 보령시 대천동 618-64매일36.349364126.59772농산물+가공식품+가정용품+음식점<NA><NA>YY2005<NA>2023-07-25B553077소상공인시장진흥공단
시장명시장유형소재지도로명주소소재지지번주소시장개설주기위도경도점포수취급품목사용가능상품권홈페이지주소공중화장실보유여부주차장보유여부개설연도전화번호데이터기준일자제공기관코드제공기관명
1518포항 큰 동해시장상설장경상북도 포항시 남구 중앙로146번길 30경상북도 포항시 남구 해도동 435-31매일36.026553129.370981203농산물+수산물+가공식품+음식점<NA><NA>YY2008<NA>2023-07-25B553077소상공인시장진흥공단
1519대전문창전통시장상설장대전광역시 중구 보문로 20번길 22대전광역시 중구 문창동 116-8매일36.315511127.43818202농산물+축산물+수산물+가공식품+의류+신발+가정용품+음식점<NA><NA>YY2005<NA>2023-07-25B553077소상공인시장진흥공단
1520용현시장상설장인천광역시 미추홀구 용삼길 13인천광역시 미추홀구 용현동 459-92매일37.457561126.650374200농산물+축산물+수산물<NA><NA>YY1963032-886-93182023-07-25B553077소상공인시장진흥공단
1521인천모래내전통시장상설장인천광역시 남동구 호구포로810번길 42-8인천광역시 남동구 구월동 1263-5매일37.454201126.721491200농산물+축산물+수산물+가공식품+의류<NA><NA>YY2006032-471-14272023-07-25B553077소상공인시장진흥공단
1522부평종합시장상설장인천광역시 부평구 부흥로316번길 38-3인천광역시 부평구 부평동 360-1매일37.496498126.726619200농산물+축산물+수산물+가공식품+의류+신발+가정용품+음식점+유흥주점 사교장등<NA><NA>YY2007032-516-06552023-07-25B553077소상공인시장진흥공단
1523중앙상가시장상설장대전광역시 동구 대전로791번길 38대전광역시 동구 중동 28-45매일36.329615127.431126200의류+가정용품+음식점<NA><NA>YY2006042-257-37522023-07-25B553077소상공인시장진흥공단
1524연수상가 상인회상설장충청북도 충주시 번영대로 125충청북도 충주시 연수동 924매일36.987466127.931582200음식점+근린생활시설<NA><NA>NY2009<NA>2023-07-25B553077소상공인시장진흥공단
1525영동전통시장5일장충청북도 영동군 영동읍 영산로1길 13-1충청북도 영동군 영동읍 계산리 694-134일+9일36.174905127.776141200농산물+축산물+수산물+음식점<NA><NA>YY2005<NA>2023-07-25B553077소상공인시장진흥공단
1526괴정골목시장상설장부산광역시 사하구 사하로 198<NA>매일35.099333128.993706200농산물+축산물+수산물+가공식품+의류+가정용품<NA><NA>YY2012051-294-89442023-07-25B553077소상공인시장진흥공단
1527울진바지게시장5일장경상북도 울진군 울진읍 읍내2길 13-6경상북도 울진군 울진읍 읍내리 632일+7일36.991629129.40207200농산물+수산물+의류+가정용품+음식점<NA><NA>YY2008054-783-29882023-07-25B553077소상공인시장진흥공단