Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory161.0 B

Variable types

DateTime2
Numeric9
Text5
Categorical2

Dataset

Description수산물 위판정보는 수협 산지조합에서 위판되는 정보를 관리하는 목록으로 기본적인 산지조합에 대한 기본정보, 위판장에 대한 기본정보, 위판장별로 집계를 한 수산물에 대한 가격 및 물량정보에 대한 정보 입니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15102794/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
산지조합코드 is highly overall correlated with 위판장코드High correlation
위판장코드 is highly overall correlated with 산지조합코드High correlation
어종상태코드 is highly overall correlated with 어종상태명High correlation
수량 is highly overall correlated with 물량(킬로그램) and 1 other fieldsHigh correlation
물량(킬로그램) is highly overall correlated with 수량 and 1 other fieldsHigh correlation
최고가 is highly overall correlated with 최저가 and 1 other fieldsHigh correlation
최저가 is highly overall correlated with 최고가 and 1 other fieldsHigh correlation
평균가 is highly overall correlated with 최고가 and 1 other fieldsHigh correlation
총 판매액 is highly overall correlated with 수량 and 1 other fieldsHigh correlation
어종상태명 is highly overall correlated with 어종상태코드High correlation
어종상태명 is highly imbalanced (55.7%)Imbalance
상품단위명 is highly imbalanced (57.5%)Imbalance
최고가 is highly skewed (γ1 = 46.12064403)Skewed
최저가 is highly skewed (γ1 = 85.68271729)Skewed
평균가 is highly skewed (γ1 = 77.1053142)Skewed
수량 has 255 (2.5%) zerosZeros
최고가 has 563 (5.6%) zerosZeros
최저가 has 575 (5.8%) zerosZeros
평균가 has 563 (5.6%) zerosZeros

Reproduction

Analysis started2024-04-21 02:10:42.236638
Analysis finished2024-04-21 02:10:56.290263
Duration14.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-01 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T11:10:56.349094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:10:56.461846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

산지조합코드
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.293
Minimum301
Maximum520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:10:56.606821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum301
5-th percentile304
Q1319
median346
Q3361
95-th percentile373
Maximum520
Range219
Interquartile range (IQR)42

Descriptive statistics

Standard deviation32.177935
Coefficient of variation (CV)0.093733152
Kurtosis12.213658
Mean343.293
Median Absolute Deviation (MAD)18
Skewness2.563366
Sum3432930
Variance1035.4195
MonotonicityNot monotonic
2024-04-21T11:10:56.778250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362 704
 
7.0%
353 435
 
4.3%
364 429
 
4.3%
357 389
 
3.9%
351 337
 
3.4%
339 327
 
3.3%
335 302
 
3.0%
316 297
 
3.0%
327 289
 
2.9%
342 271
 
2.7%
Other values (63) 6220
62.2%
ValueCountFrequency (%)
301 136
1.4%
302 39
 
0.4%
303 165
1.7%
304 241
2.4%
305 202
2.0%
306 168
1.7%
307 166
1.7%
308 116
1.2%
309 127
1.3%
310 86
 
0.9%
ValueCountFrequency (%)
520 2
 
< 0.1%
517 99
1.0%
516 14
 
0.1%
515 4
 
< 0.1%
512 2
 
< 0.1%
511 1
 
< 0.1%
509 11
 
0.1%
507 29
 
0.3%
506 10
 
0.1%
503 18
 
0.2%
Distinct73
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:10:57.059998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.7891
Min length9

Characters and Unicode

Total characters97891
Distinct characters101
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row구룡포수산업협동조합
2nd row속초시수산업협동조합
3rd row삼척수산업협동조합
4th row경기남부수산업협동조합
5th row거제수산업협동조합
ValueCountFrequency (%)
통영수산업협동조합 704
 
6.8%
거제수산업협동조합 435
 
4.2%
남해군수산업협동조합 429
 
4.2%
삼천포수산업협동조합 389
 
3.8%
포항수산업협동조합 337
 
3.3%
여수 327
 
3.2%
수산업협동조합 327
 
3.2%
고흥군수산업협동조합 302
 
2.9%
서산수산업협동조합 297
 
2.9%
목포수산업협동조합 289
 
2.8%
Other values (64) 6491
62.9%
2024-04-21T11:10:57.404927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11201
11.4%
10478
10.7%
10265
10.5%
10000
10.2%
10000
10.2%
10000
10.2%
10000
10.2%
2009
 
2.1%
1817
 
1.9%
1066
 
1.1%
Other values (91) 21055
21.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97213
99.3%
Space Separator 327
 
0.3%
Decimal Number 234
 
0.2%
Other Punctuation 117
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11201
11.5%
10478
10.8%
10265
10.6%
10000
10.3%
10000
10.3%
10000
10.3%
10000
10.3%
2009
 
2.1%
1817
 
1.9%
1066
 
1.1%
Other values (84) 20377
21.0%
Decimal Number
ValueCountFrequency (%)
2 99
42.3%
1 99
42.3%
3 18
 
7.7%
4 18
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 99
84.6%
. 18
 
15.4%
Space Separator
ValueCountFrequency (%)
327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97213
99.3%
Common 678
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11201
11.5%
10478
10.8%
10265
10.6%
10000
10.3%
10000
10.3%
10000
10.3%
10000
10.3%
2009
 
2.1%
1817
 
1.9%
1066
 
1.1%
Other values (84) 20377
21.0%
Common
ValueCountFrequency (%)
327
48.2%
/ 99
 
14.6%
2 99
 
14.6%
1 99
 
14.6%
3 18
 
2.7%
. 18
 
2.7%
4 18
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97213
99.3%
ASCII 678
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11201
11.5%
10478
10.8%
10265
10.6%
10000
10.3%
10000
10.3%
10000
10.3%
10000
10.3%
2009
 
2.1%
1817
 
1.9%
1066
 
1.1%
Other values (84) 20377
21.0%
ASCII
ValueCountFrequency (%)
327
48.2%
/ 99
 
14.6%
2 99
 
14.6%
1 99
 
14.6%
3 18
 
2.7%
. 18
 
2.7%
4 18
 
2.7%

위판장코드
Real number (ℝ)

HIGH CORRELATION 

Distinct145
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343300.79
Minimum301001
Maximum520003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:10:57.541055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum301001
5-th percentile304001
Q1319001
median346001
Q3361001
95-th percentile373001
Maximum520003
Range219002
Interquartile range (IQR)42000

Descriptive statistics

Standard deviation32182.266
Coefficient of variation (CV)0.093743641
Kurtosis12.218341
Mean343300.79
Median Absolute Deviation (MAD)17997
Skewness2.5641281
Sum3.4330079 × 109
Variance1.0356982 × 109
MonotonicityNot monotonic
2024-04-21T11:10:57.668056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
351001 337
 
3.4%
342003 256
 
2.6%
362001 237
 
2.4%
372001 228
 
2.3%
339001 191
 
1.9%
362002 188
 
1.9%
357003 187
 
1.9%
335002 184
 
1.8%
304001 180
 
1.8%
352001 179
 
1.8%
Other values (135) 7833
78.3%
ValueCountFrequency (%)
301001 109
1.1%
301004 27
 
0.3%
302001 39
 
0.4%
303001 114
1.1%
303002 51
 
0.5%
304001 180
1.8%
304003 61
 
0.6%
305001 65
 
0.7%
305002 85
0.9%
305003 52
 
0.5%
ValueCountFrequency (%)
520003 2
 
< 0.1%
517005 16
0.2%
517003 17
0.2%
517002 32
0.3%
517001 34
0.3%
516001 14
0.1%
515002 4
 
< 0.1%
512001 2
 
< 0.1%
511001 1
 
< 0.1%
509003 6
 
0.1%
Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:10:57.911518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length5.3628
Min length2

Characters and Unicode

Total characters53628
Distinct characters137
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

Unique7 ?
Unique (%)0.1%

Sample

1st row호미곶지점
2nd row판매과
3rd row유통사업과
4th row수원사업소
5th row외포 위판장
ValueCountFrequency (%)
판매과 1955
 
18.2%
판매1과 692
 
6.4%
유통사업과 606
 
5.6%
위판장 556
 
5.2%
유통판매과 323
 
3.0%
판매2팀(활어위판 256
 
2.4%
1위판장 228
 
2.1%
도천위판장 188
 
1.7%
판매2과(활어 187
 
1.7%
녹동지점(일반 184
 
1.7%
Other values (101) 5573
51.9%
2024-04-21T11:10:58.485865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7630
 
14.2%
4965
 
9.3%
4817
 
9.0%
2450
 
4.6%
2338
 
4.4%
2327
 
4.3%
2304
 
4.3%
( 1396
 
2.6%
) 1396
 
2.6%
1367
 
2.5%
Other values (127) 22638
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48333
90.1%
Decimal Number 1752
 
3.3%
Open Punctuation 1396
 
2.6%
Close Punctuation 1396
 
2.6%
Space Separator 751
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7630
15.8%
4965
 
10.3%
4817
 
10.0%
2450
 
5.1%
2338
 
4.8%
2327
 
4.8%
2304
 
4.8%
1367
 
2.8%
1142
 
2.4%
1070
 
2.2%
Other values (120) 17923
37.1%
Decimal Number
ValueCountFrequency (%)
1 1109
63.3%
2 485
27.7%
3 121
 
6.9%
4 37
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 1396
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1396
100.0%
Space Separator
ValueCountFrequency (%)
751
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48333
90.1%
Common 5295
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7630
15.8%
4965
 
10.3%
4817
 
10.0%
2450
 
5.1%
2338
 
4.8%
2327
 
4.8%
2304
 
4.8%
1367
 
2.8%
1142
 
2.4%
1070
 
2.2%
Other values (120) 17923
37.1%
Common
ValueCountFrequency (%)
( 1396
26.4%
) 1396
26.4%
1 1109
20.9%
751
14.2%
2 485
 
9.2%
3 121
 
2.3%
4 37
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48333
90.1%
ASCII 5295
 
9.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7630
15.8%
4965
 
10.3%
4817
 
10.0%
2450
 
5.1%
2338
 
4.8%
2327
 
4.8%
2304
 
4.8%
1367
 
2.8%
1142
 
2.4%
1070
 
2.2%
Other values (120) 17923
37.1%
ASCII
ValueCountFrequency (%)
( 1396
26.4%
) 1396
26.4%
1 1109
20.9%
751
14.2%
2 485
 
9.2%
3 121
 
2.3%
4 37
 
0.7%
Distinct275
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:10:58.806547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.4%

Sample

1st row612101
2nd row610207
3rd row614801
4th row620201
5th row618102
ValueCountFrequency (%)
640301 367
 
3.7%
612101 340
 
3.4%
699900 306
 
3.1%
610200 302
 
3.0%
618102 302
 
3.0%
640407 296
 
3.0%
640601 264
 
2.6%
620301 234
 
2.3%
616301 213
 
2.1%
612601 205
 
2.1%
Other values (265) 7171
71.7%
2024-04-21T11:10:59.296423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16075
26.8%
1 12617
21.0%
6 11920
19.9%
2 4979
 
8.3%
3 3955
 
6.6%
9 3200
 
5.3%
4 3010
 
5.0%
7 1628
 
2.7%
8 1328
 
2.2%
5 685
 
1.1%
Other values (3) 603
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59397
99.0%
Uppercase Letter 603
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16075
27.1%
1 12617
21.2%
6 11920
20.1%
2 4979
 
8.4%
3 3955
 
6.7%
9 3200
 
5.4%
4 3010
 
5.1%
7 1628
 
2.7%
8 1328
 
2.2%
5 685
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
A 300
49.8%
B 155
25.7%
Z 148
24.5%

Most occurring scripts

ValueCountFrequency (%)
Common 59397
99.0%
Latin 603
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16075
27.1%
1 12617
21.2%
6 11920
20.1%
2 4979
 
8.4%
3 3955
 
6.7%
9 3200
 
5.4%
4 3010
 
5.1%
7 1628
 
2.7%
8 1328
 
2.2%
5 685
 
1.2%
Latin
ValueCountFrequency (%)
A 300
49.8%
B 155
25.7%
Z 148
24.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16075
26.8%
1 12617
21.0%
6 11920
19.9%
2 4979
 
8.3%
3 3955
 
6.6%
9 3200
 
5.3%
4 3010
 
5.0%
7 1628
 
2.7%
8 1328
 
2.2%
5 685
 
1.1%
Other values (3) 603
 
1.0%
Distinct274
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:10:59.610264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length3.0581
Min length1

Characters and Unicode

Total characters30581
Distinct characters220
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

Unique42 ?
Unique (%)0.4%

Sample

1st row넙치
2nd row홍가자미
3rd row고무꺽정이
4th row동죽(동조개)
5th row아귀
ValueCountFrequency (%)
낙지 367
 
3.7%
넙치 340
 
3.4%
기타해면기타 306
 
3.1%
가자미류 302
 
3.0%
아귀 302
 
3.0%
문어 296
 
3.0%
주꾸미 264
 
2.6%
소라 234
 
2.3%
조피볼락 213
 
2.1%
농어 205
 
2.1%
Other values (264) 7171
71.7%
2024-04-21T11:11:00.041986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2138
 
7.0%
2080
 
6.8%
1686
 
5.5%
1158
 
3.8%
1087
 
3.6%
1073
 
3.5%
967
 
3.2%
611
 
2.0%
605
 
2.0%
583
 
1.9%
Other values (210) 18593
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30265
99.0%
Open Punctuation 158
 
0.5%
Close Punctuation 158
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2138
 
7.1%
2080
 
6.9%
1686
 
5.6%
1158
 
3.8%
1087
 
3.6%
1073
 
3.5%
967
 
3.2%
611
 
2.0%
605
 
2.0%
583
 
1.9%
Other values (208) 18277
60.4%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30265
99.0%
Common 316
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2138
 
7.1%
2080
 
6.9%
1686
 
5.6%
1158
 
3.8%
1087
 
3.6%
1073
 
3.5%
967
 
3.2%
611
 
2.0%
605
 
2.0%
583
 
1.9%
Other values (208) 18277
60.4%
Common
ValueCountFrequency (%)
( 158
50.0%
) 158
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30265
99.0%
ASCII 316
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2138
 
7.1%
2080
 
6.9%
1686
 
5.6%
1158
 
3.8%
1087
 
3.6%
1073
 
3.5%
967
 
3.2%
611
 
2.0%
605
 
2.0%
583
 
1.9%
Other values (208) 18277
60.4%
ASCII
ValueCountFrequency (%)
( 158
50.0%
) 158
50.0%

어종상태코드
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.7112
Minimum10
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:00.177938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median10
Q320
95-th percentile20
Maximum99
Range89
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.6224452
Coefficient of variation (CV)0.45016349
Kurtosis46.097446
Mean14.7112
Median Absolute Deviation (MAD)0
Skewness4.1910681
Sum147112
Variance43.85678
MonotonicityNot monotonic
2024-04-21T11:11:00.287647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10 5698
57.0%
20 4063
40.6%
30 176
 
1.8%
40 44
 
0.4%
99 18
 
0.2%
50 1
 
< 0.1%
ValueCountFrequency (%)
10 5698
57.0%
20 4063
40.6%
30 176
 
1.8%
40 44
 
0.4%
50 1
 
< 0.1%
99 18
 
0.2%
ValueCountFrequency (%)
99 18
 
0.2%
50 1
 
< 0.1%
40 44
 
0.4%
30 176
 
1.8%
20 4063
40.6%
10 5698
57.0%

어종상태명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
활어
5698 
선어
4063 
냉동
 
176
건어
 
44
없음
 
18

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row선어
2nd row선어
3rd row선어
4th row활어
5th row선어

Common Values

ValueCountFrequency (%)
활어 5698
57.0%
선어 4063
40.6%
냉동 176
 
1.8%
건어 44
 
0.4%
없음 18
 
0.2%
가공 1
 
< 0.1%

Length

2024-04-21T11:11:00.409181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:11:00.515830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활어 5698
57.0%
선어 4063
40.6%
냉동 176
 
1.8%
건어 44
 
0.4%
없음 18
 
0.2%
가공 1
 
< 0.1%
Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T11:11:00.682578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length1.7867
Min length1

Characters and Unicode

Total characters17867
Distinct characters32
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

Unique12 ?
Unique (%)0.1%

Sample

1st row없음
2nd row
3rd row없음
4th row
5th row
ValueCountFrequency (%)
없음 6372
63.7%
2614
26.1%
157
 
1.6%
142
 
1.4%
5kg이하 141
 
1.4%
kg 90
 
0.9%
20미 53
 
0.5%
3단 36
 
0.4%
32
 
0.3%
파품 27
 
0.3%
Other values (73) 336
 
3.4%
2024-04-21T11:11:01.000227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6372
35.7%
6372
35.7%
2628
14.7%
g 297
 
1.7%
k 292
 
1.6%
5 224
 
1.3%
211
 
1.2%
168
 
0.9%
160
 
0.9%
152
 
0.9%
Other values (22) 991
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16406
91.8%
Decimal Number 800
 
4.5%
Lowercase Letter 589
 
3.3%
Math Symbol 36
 
0.2%
Uppercase Letter 27
 
0.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6372
38.8%
6372
38.8%
2628
16.0%
211
 
1.3%
168
 
1.0%
160
 
1.0%
152
 
0.9%
152
 
0.9%
82
 
0.5%
30
 
0.2%
Other values (4) 79
 
0.5%
Decimal Number
ValueCountFrequency (%)
5 224
28.0%
0 152
19.0%
2 134
16.8%
3 92
11.5%
1 73
 
9.1%
4 62
 
7.8%
6 27
 
3.4%
7 14
 
1.8%
8 13
 
1.6%
9 9
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
L 14
51.9%
G 6
22.2%
M 5
 
18.5%
S 2
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
g 297
50.4%
k 292
49.6%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16406
91.8%
Common 845
 
4.7%
Latin 616
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6372
38.8%
6372
38.8%
2628
16.0%
211
 
1.3%
168
 
1.0%
160
 
1.0%
152
 
0.9%
152
 
0.9%
82
 
0.5%
30
 
0.2%
Other values (4) 79
 
0.5%
Common
ValueCountFrequency (%)
5 224
26.5%
0 152
18.0%
2 134
15.9%
3 92
10.9%
1 73
 
8.6%
4 62
 
7.3%
~ 36
 
4.3%
6 27
 
3.2%
7 14
 
1.7%
8 13
 
1.5%
Other values (2) 18
 
2.1%
Latin
ValueCountFrequency (%)
g 297
48.2%
k 292
47.4%
L 14
 
2.3%
G 6
 
1.0%
M 5
 
0.8%
S 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16406
91.8%
ASCII 1461
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6372
38.8%
6372
38.8%
2628
16.0%
211
 
1.3%
168
 
1.0%
160
 
1.0%
152
 
0.9%
152
 
0.9%
82
 
0.5%
30
 
0.2%
Other values (4) 79
 
0.5%
ASCII
ValueCountFrequency (%)
g 297
20.3%
k 292
20.0%
5 224
15.3%
0 152
10.4%
2 134
9.2%
3 92
 
6.3%
1 73
 
5.0%
4 62
 
4.2%
~ 36
 
2.5%
6 27
 
1.8%
Other values (8) 72
 
4.9%

상품단위명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상자(C/S)
5533 
없음
2926 
미(마리)
 
438
Kg
 
293
그물망
 
201
Other values (17)
609 

Length

Max length7
Median length7
Mean length4.9098
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row상자(C/S)
2nd row상자(C/S)
3rd row상자(C/S)
4th rowKg
5th row상자(C/S)

Common Values

ValueCountFrequency (%)
상자(C/S) 5533
55.3%
없음 2926
29.3%
미(마리) 438
 
4.4%
Kg 293
 
2.9%
그물망 201
 
2.0%
158
 
1.6%
두름 99
 
1.0%
80
 
0.8%
봉지 50
 
0.5%
PP대 41
 
0.4%
Other values (12) 181
 
1.8%

Length

2024-04-21T11:11:01.136467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상자(c/s 5533
55.3%
없음 2926
29.3%
미(마리 438
 
4.4%
kg 293
 
2.9%
그물망 201
 
2.0%
158
 
1.6%
두름 99
 
1.0%
80
 
0.8%
봉지 50
 
0.5%
pp대 41
 
0.4%
Other values (12) 181
 
1.8%

수량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1316
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.87164
Minimum0
Maximum52638
Zeros255
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:01.268617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median8
Q343
95-th percentile835.2
Maximum52638
Range52638
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1775.7539
Coefficient of variation (CV)6.8331962
Kurtosis330.77703
Mean259.87164
Median Absolute Deviation (MAD)7
Skewness16.250936
Sum2598716.4
Variance3153302
MonotonicityNot monotonic
2024-04-21T11:11:01.433926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1554
 
15.5%
2.0 911
 
9.1%
3.0 587
 
5.9%
4.0 505
 
5.1%
5.0 392
 
3.9%
6.0 315
 
3.1%
0.0 255
 
2.5%
7.0 252
 
2.5%
8.0 245
 
2.5%
10.0 181
 
1.8%
Other values (1306) 4803
48.0%
ValueCountFrequency (%)
0.0 255
 
2.5%
0.3 4
 
< 0.1%
0.5 10
 
0.1%
0.6 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
1.0 1554
15.5%
1.1 1
 
< 0.1%
1.2 2
 
< 0.1%
1.5 14
 
0.1%
ValueCountFrequency (%)
52638.0 1
< 0.1%
44030.0 1
< 0.1%
42950.0 1
< 0.1%
42710.0 1
< 0.1%
41539.0 1
< 0.1%
36816.0 1
< 0.1%
35916.0 1
< 0.1%
32520.0 2
< 0.1%
32370.0 1
< 0.1%
31486.0 1
< 0.1%

물량(킬로그램)
Real number (ℝ)

HIGH CORRELATION 

Distinct1978
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2607.7126
Minimum0.08
Maximum901440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:01.580396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile2
Q112
median47
Q3219
95-th percentile2900
Maximum901440
Range901439.92
Interquartile range (IQR)207

Descriptive statistics

Standard deviation24074.979
Coefficient of variation (CV)9.2322211
Kurtosis466.92823
Mean2607.7126
Median Absolute Deviation (MAD)42
Skewness18.493001
Sum26077126
Variance5.7960462 × 108
MonotonicityNot monotonic
2024-04-21T11:11:01.737188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 575
 
5.8%
20.0 381
 
3.8%
5.0 340
 
3.4%
30.0 247
 
2.5%
15.0 244
 
2.4%
1.0 241
 
2.4%
2.0 225
 
2.2%
3.0 204
 
2.0%
40.0 202
 
2.0%
6.0 177
 
1.8%
Other values (1968) 7164
71.6%
ValueCountFrequency (%)
0.08 1
 
< 0.1%
0.1 1
 
< 0.1%
0.16 1
 
< 0.1%
0.2 3
 
< 0.1%
0.3 1
 
< 0.1%
0.35 1
 
< 0.1%
0.5 13
0.1%
0.6 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
ValueCountFrequency (%)
901440.0 1
< 0.1%
793800.0 1
< 0.1%
571080.0 1
< 0.1%
558960.0 1
< 0.1%
490680.0 1
< 0.1%
485400.0 1
< 0.1%
437280.0 1
< 0.1%
387840.0 1
< 0.1%
370680.0 1
< 0.1%
366240.0 1
< 0.1%

최고가
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1436
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98217.319
Minimum0
Maximum19000000
Zeros563
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:01.899071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120000
median50000
Q3115000
95-th percentile339900
Maximum19000000
Range19000000
Interquartile range (IQR)95000

Descriptive statistics

Standard deviation249231.68
Coefficient of variation (CV)2.5375532
Kurtosis3337.1712
Mean98217.319
Median Absolute Deviation (MAD)37000
Skewness46.120644
Sum9.821732 × 108
Variance6.2116429 × 1010
MonotonicityNot monotonic
2024-04-21T11:11:02.075275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 563
 
5.6%
30000 210
 
2.1%
50000 187
 
1.9%
40000 162
 
1.6%
60000 156
 
1.6%
70000 149
 
1.5%
20000 145
 
1.5%
90000 137
 
1.4%
100000 128
 
1.3%
80000 127
 
1.3%
Other values (1426) 8036
80.4%
ValueCountFrequency (%)
0 563
5.6%
340 1
 
< 0.1%
400 1
 
< 0.1%
600 1
 
< 0.1%
700 1
 
< 0.1%
800 1
 
< 0.1%
1000 7
 
0.1%
1200 1
 
< 0.1%
1400 2
 
< 0.1%
1470 2
 
< 0.1%
ValueCountFrequency (%)
19000000 1
< 0.1%
4660000 1
< 0.1%
3990000 1
< 0.1%
3619000 1
< 0.1%
3250000 1
< 0.1%
2625100 1
< 0.1%
2500000 1
< 0.1%
2210000 1
< 0.1%
2100000 1
< 0.1%
1950000 1
< 0.1%

최저가
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1033
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39922.781
Minimum0
Maximum19000000
Zeros575
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:02.251390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110000
median20000
Q342000
95-th percentile133000
Maximum19000000
Range19000000
Interquartile range (IQR)32000

Descriptive statistics

Standard deviation199861.7
Coefficient of variation (CV)5.0062069
Kurtosis8103.7731
Mean39922.781
Median Absolute Deviation (MAD)13805
Skewness85.682717
Sum3.9922781 × 108
Variance3.99447 × 1010
MonotonicityNot monotonic
2024-04-21T11:11:02.404400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 575
 
5.8%
10000 370
 
3.7%
20000 346
 
3.5%
30000 302
 
3.0%
15000 267
 
2.7%
25000 192
 
1.9%
5000 190
 
1.9%
40000 177
 
1.8%
13000 177
 
1.8%
7000 163
 
1.6%
Other values (1023) 7241
72.4%
ValueCountFrequency (%)
0 575
5.8%
11 1
 
< 0.1%
200 3
 
< 0.1%
250 1
 
< 0.1%
300 10
 
0.1%
340 1
 
< 0.1%
400 2
 
< 0.1%
440 1
 
< 0.1%
450 1
 
< 0.1%
500 7
 
0.1%
ValueCountFrequency (%)
19000000 1
< 0.1%
2210000 1
< 0.1%
1180000 1
< 0.1%
1050000 1
< 0.1%
1000000 2
< 0.1%
900000 1
< 0.1%
770000 1
< 0.1%
740000 1
< 0.1%
720000 1
< 0.1%
689900 1
< 0.1%

평균가
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct5042
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62150.083
Minimum0
Maximum19000000
Zeros563
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:02.570025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115338.25
median35400
Q372825
95-th percentile205501.25
Maximum19000000
Range19000000
Interquartile range (IQR)57486.75

Descriptive statistics

Standard deviation206871.58
Coefficient of variation (CV)3.3285809
Kurtosis7026.8697
Mean62150.083
Median Absolute Deviation (MAD)23934.5
Skewness77.105314
Sum6.2150083 × 108
Variance4.2795849 × 1010
MonotonicityNot monotonic
2024-04-21T11:11:02.731055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 563
 
5.6%
30000 110
 
1.1%
20000 83
 
0.8%
10000 81
 
0.8%
15000 75
 
0.8%
25000 72
 
0.7%
50000 69
 
0.7%
40000 69
 
0.7%
12000 67
 
0.7%
35000 66
 
0.7%
Other values (5032) 8745
87.5%
ValueCountFrequency (%)
0 563
5.6%
87 1
 
< 0.1%
340 1
 
< 0.1%
387 1
 
< 0.1%
400 1
 
< 0.1%
600 1
 
< 0.1%
625 1
 
< 0.1%
700 1
 
< 0.1%
800 1
 
< 0.1%
818 1
 
< 0.1%
ValueCountFrequency (%)
19000000 1
< 0.1%
2210000 1
< 0.1%
1293667 1
< 0.1%
1180000 1
< 0.1%
1050000 1
< 0.1%
1027557 1
< 0.1%
1017436 1
< 0.1%
1000000 1
< 0.1%
984000 1
< 0.1%
943709 1
< 0.1%

총 판매액
Real number (ℝ)

HIGH CORRELATION 

Distinct5307
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9892133.9
Minimum1000
Maximum2.1144284 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T11:11:02.970734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile21500
Q198975
median394000
Q31928500
95-th percentile24377590
Maximum2.1144284 × 109
Range2.1144274 × 109
Interquartile range (IQR)1829525

Descriptive statistics

Standard deviation67434206
Coefficient of variation (CV)6.8169524
Kurtosis322.28431
Mean9892133.9
Median Absolute Deviation (MAD)354000
Skewness15.493484
Sum9.8921339 × 1010
Variance4.5473721 × 1015
MonotonicityNot monotonic
2024-04-21T11:11:03.120790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000 86
 
0.9%
50000 80
 
0.8%
40000 67
 
0.7%
20000 64
 
0.6%
60000 57
 
0.6%
70000 53
 
0.5%
25000 51
 
0.5%
90000 50
 
0.5%
35000 50
 
0.5%
100000 42
 
0.4%
Other values (5297) 9400
94.0%
ValueCountFrequency (%)
1000 3
 
< 0.1%
1500 2
 
< 0.1%
2000 5
0.1%
2700 1
 
< 0.1%
3000 12
0.1%
4000 4
 
< 0.1%
4500 2
 
< 0.1%
5000 12
0.1%
5300 1
 
< 0.1%
6000 12
0.1%
ValueCountFrequency (%)
2114428400 1
< 0.1%
1802623100 1
< 0.1%
1791896000 1
< 0.1%
1668487800 1
< 0.1%
1459477200 1
< 0.1%
1196300000 1
< 0.1%
1092242700 1
< 0.1%
1080490200 1
< 0.1%
1005648000 1
< 0.1%
988528900 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-31 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T11:11:03.237550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:11:03.323479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:10:55.048140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-04-21T11:10:53.606996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-04-21T11:10:51.949589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:10:53.051843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:10:53.929521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:10:54.939266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:11:03.408516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위판일자산지조합코드산지조합명위판장코드어종상태코드어종상태명상품규격명상품단위명수량물량(킬로그램)최고가최저가평균가총 판매액
위판일자1.0000.2070.3430.2080.0770.0770.0000.0130.0000.0480.0000.0000.0000.000
산지조합코드0.2071.0001.0001.0000.2530.2530.4670.5280.2600.0990.0000.0000.0000.171
산지조합명0.3431.0001.0001.0000.7130.7130.8650.8970.5290.4870.1510.0400.0400.536
위판장코드0.2081.0001.0001.0000.2530.2530.4650.5270.2590.0940.0000.0000.0000.165
어종상태코드0.0770.2530.7130.2531.0001.0000.8280.6410.3020.3350.0000.0000.0000.336
어종상태명0.0770.2530.7130.2531.0001.0000.8280.6410.3020.3350.0000.0000.0000.336
상품규격명0.0000.4670.8650.4650.8280.8281.0000.8900.4170.3120.0820.0000.0000.516
상품단위명0.0130.5280.8970.5270.6410.6410.8901.0000.2890.5230.0000.0000.0000.577
수량0.0000.2600.5290.2590.3020.3020.4170.2891.0000.1300.0000.0000.0000.486
물량(킬로그램)0.0480.0990.4870.0940.3350.3350.3120.5230.1301.0000.0000.0000.0000.927
최고가0.0000.0000.1510.0000.0000.0000.0820.0000.0000.0001.0000.7150.7150.000
최저가0.0000.0000.0400.0000.0000.0000.0000.0000.0000.0000.7151.0001.0000.000
평균가0.0000.0000.0400.0000.0000.0000.0000.0000.0000.0000.7151.0001.0000.000
총 판매액0.0000.1710.5360.1650.3360.3360.5160.5770.4860.9270.0000.0000.0001.000
2024-04-21T11:11:03.550186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
어종상태명상품단위명
어종상태명1.0000.359
상품단위명0.3591.000
2024-04-21T11:11:03.664202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산지조합코드위판장코드어종상태코드수량물량(킬로그램)최고가최저가평균가총 판매액어종상태명상품단위명
산지조합코드1.0001.0000.073-0.0240.0360.0850.0140.0680.0030.1730.291
위판장코드1.0001.0000.066-0.0250.0310.0820.0120.0660.0000.1730.291
어종상태코드0.0730.0661.0000.0470.2510.2270.1410.2250.0751.0000.359
수량-0.024-0.0250.0471.0000.8310.129-0.229-0.0140.8410.1640.111
물량(킬로그램)0.0360.0310.2510.8311.0000.302-0.0770.1710.8830.1730.233
최고가0.0850.0820.2270.1290.3021.0000.6580.9380.4250.0000.000
최저가0.0140.0120.141-0.229-0.0770.6581.0000.7990.0520.0000.000
평균가0.0680.0660.225-0.0140.1710.9380.7991.0000.3050.0000.000
총 판매액0.0030.0000.0750.8410.8830.4250.0520.3051.0000.1840.255
어종상태명0.1730.1731.0000.1640.1730.0000.0000.0000.1841.0000.359
상품단위명0.2910.2910.3590.1110.2330.0000.0000.0000.2550.3591.000

Missing values

2024-04-21T11:10:55.973753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:10:56.190155image/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

위판일자산지조합코드산지조합명위판장코드위판장명수산물표준코드수산물표준코드명어종상태코드어종상태명상품규격명상품단위명수량물량(킬로그램)최고가최저가평균가총 판매액데이터기준일자
190902024-03-13347구룡포수산업협동조합347003호미곶지점612101넙치20선어없음상자(C/S)2.016.09000040000650001300002024-03-31
50302024-03-05308속초시수산업협동조합308001판매과610207홍가자미20선어상자(C/S)13.582.54290013100227782652502024-03-31
433032024-03-27307삼척수산업협동조합307001유통사업과614801고무꺽정이20선어없음상자(C/S)1.020.0599005990059900599002024-03-31
201402024-03-14304경기남부수산업협동조합304001수원사업소620201동죽(동조개)10활어Kg10.010.0304030403040304002024-03-31
75202024-03-06353거제수산업협동조합353006외포 위판장618102아귀20선어상자(C/S)5.050.017000800012000520002024-03-31
53662024-03-05328신안군수산업협동조합328005흑산도위판장61B304참홍어20선어3kgKg17.059.51500012000133332270002024-03-31
272312024-03-18311강릉시수산업협동조합311001판매과690401우렁쉥이20선어없음없음1.01.0140001400014000140002024-03-31
208102024-03-14331진도군수산업협동조합331002접도사업소810300김류20선어없음4658.0558960.040300033300035803116684878002024-03-31
208262024-03-14335고흥군수산업협동조합335002녹동지점(일반)610100가오리류10활어상자(C/S)34.0170.091000190005581518977002024-03-31
198302024-03-13368서귀포수산업협동조합368001서귀포위판장610802고등어20선어없음상자(C/S)4.040.05700016900371751487002024-03-31
위판일자산지조합코드산지조합명위판장코드위판장명수산물표준코드수산물표준코드명어종상태코드어종상태명상품규격명상품단위명수량물량(킬로그램)최고가최저가평균가총 판매액데이터기준일자
181472024-03-12507서남해수어류양식수산업협동조합507001위판613702참돔10활어없음없음300.0300.013000130001300039000002024-03-31
145972024-03-11328신안군수산업협동조합328004송공사업소621600전복류10활어13미상자(C/S)36.0360.025000250002500090000002024-03-31
388372024-03-24342완도금일수산업협동조합342003판매2팀(활어위판)610201도다리10활어없음없음6.030.019200010000678334070002024-03-31
103782024-03-08346강구수산업협동조합346001판매과612601농어10활어없음없음1.05.0470004700047000470002024-03-31
303882024-03-19360의창수산업협동조합360001부경신항수산업협동조합640204참꼴뚜기10활어없음없음2.010.00002500002024-03-31
147442024-03-11339여수 수산업협동조합339003군내판매과610100가오리류10활어없음상자(C/S)1.05.0100001000010000100002024-03-31
197562024-03-13364남해군수산업협동조합364001판매과613702참돔10활어없음없음1.02.0580005800058000580002024-03-31
113992024-03-08515멍게수하식수산업협동조합515002멍게수협위판장690401우렁쉥이10활어없음봉지338.0338.016000160001600054080002024-03-31
426912024-03-26361진해수산업협동조합361001판매사업과612300노래미류10활어없음없음1.01.2250002500025000250002024-03-31
231052024-03-15346강구수산업협동조합346001판매과699900기타해면기타20선어없음상자(C/S)28.0950.0370004000246008160002024-03-31