Overview

Dataset statistics

Number of variables13
Number of observations7387
Missing cells88644
Missing cells (%)92.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory836.9 KiB
Average record size in memory116.0 B

Variable types

Text1
Unsupported12

Dataset

Description수산물 수협 물류센터/공판장 재고정보는 수협이 운영하고 있는 물류센터나 공판장 기본정보 및 해당 물류센터 및 공판장에 입출고 되는 품목에 대한 정보 및 품목별 재고정보를 제공하는 목록입니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15012419/fileData.do

Alerts

물류센터-공판장명, has 7387 (100.0%) missing valuesMissing
기준일자, has 7387 (100.0%) missing valuesMissing
수산물품목코드, has 7387 (100.0%) missing valuesMissing
수산물품목명, has 7387 (100.0%) missing valuesMissing
상태가공분류코드, has 7387 (100.0%) missing valuesMissing
상태가공분류명, has 7387 (100.0%) missing valuesMissing
입고량, has 7387 (100.0%) missing valuesMissing
출고량, has 7387 (100.0%) missing valuesMissing
입고량(킬로그램), has 7387 (100.0%) missing valuesMissing
출고량(킬로그램), has 7387 (100.0%) missing valuesMissing
데이터기준일자 has 7387 (100.0%) missing valuesMissing
Unnamed: 12 has 7387 (100.0%) missing valuesMissing
물류센터-공판장 코드, has unique valuesUnique
물류센터-공판장명, is an unsupported type, check if it needs cleaning or further analysisUnsupported
기준일자, is an unsupported type, check if it needs cleaning or further analysisUnsupported
수산물품목코드, is an unsupported type, check if it needs cleaning or further analysisUnsupported
수산물품목명, is an unsupported type, check if it needs cleaning or further analysisUnsupported
상태가공분류코드, is an unsupported type, check if it needs cleaning or further analysisUnsupported
상태가공분류명, is an unsupported type, check if it needs cleaning or further analysisUnsupported
입고량, is an unsupported type, check if it needs cleaning or further analysisUnsupported
출고량, is an unsupported type, check if it needs cleaning or further analysisUnsupported
입고량(킬로그램), is an unsupported type, check if it needs cleaning or further analysisUnsupported
출고량(킬로그램), is an unsupported type, check if it needs cleaning or further analysisUnsupported
데이터기준일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 17:29:58.373769
Analysis finished2023-12-12 17:29:59.094767
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct7387
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-13T02:29:59.241309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length100
Mean length87.129281
Min length79

Characters and Unicode

Total characters643624
Distinct characters166
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

Unique7387 ?
Unique (%)100.0%

Sample

1st row000156,"경기북부 물류센터","2022-06-01","640599","기타오징어류","30","(냉동)","0","0","0","0","2022-06-30"
2nd row000156,"경기북부 물류센터","2022-06-01","620899","기타꼬막류","30","(냉동)","0","0","0","0","2022-06-30"
3rd row000156,"경기북부 물류센터","2022-06-01","614504","북어","40","(건)","0","0","0","0","2022-06-30"
4th row000156,"경기북부 물류센터","2022-06-01","613102","민대구","30","(냉동)","0","0","0","0","2022-06-30"
5th row000157,"(춘천) 강원물류센터","2022-06-01","720199","기타논우렁이류","30","(냉동)","0","0","0","0","2022-06-30"
ValueCountFrequency (%)
190010,"감천항 1242
 
11.1%
108100,"외발산동 1104
 
9.9%
218030,"인천가공물류센터 540
 
4.8%
130030,"천안냉장 511
 
4.6%
218910,"호남권 181
 
1.6%
000156,"경기북부 136
 
1.2%
000157,"(춘천 105
 
0.9%
물류센터","2022-06-05","640599","기타오징어류","30","(냉동)","0","0","0","0","2022-06-30 3
 
< 0.1%
물류센터","2022-06-12","640599","기타오징어류","30","(냉동)","0","0","0","0","2022-06-30 3
 
< 0.1%
물류센터","2022-06-19","640599","기타오징어류","30","(냉동)","0","0","0","0","2022-06-30 3
 
< 0.1%
Other values (7110) 7378
65.8%
2023-12-13T02:29:59.667261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
" 162514
25.2%
0 102346
15.9%
, 81257
12.6%
2 57606
 
9.0%
- 29548
 
4.6%
6 23468
 
3.6%
3 22856
 
3.6%
1 21843
 
3.4%
9 10312
 
1.6%
8850
 
1.4%
Other values (156) 123024
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 257040
39.9%
Other Punctuation 243966
37.9%
Other Letter 95543
 
14.8%
Dash Punctuation 29548
 
4.6%
Close Punctuation 6659
 
1.0%
Open Punctuation 6659
 
1.0%
Space Separator 3819
 
0.6%
Uppercase Letter 390
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8850
 
9.3%
6345
 
6.6%
6008
 
6.3%
5903
 
6.2%
4627
 
4.8%
4627
 
4.8%
4108
 
4.3%
3717
 
3.9%
3490
 
3.7%
3001
 
3.1%
Other values (136) 44867
47.0%
Decimal Number
ValueCountFrequency (%)
0 102346
39.8%
2 57606
22.4%
6 23468
 
9.1%
3 22856
 
8.9%
1 21843
 
8.5%
9 10312
 
4.0%
4 6684
 
2.6%
8 6464
 
2.5%
5 3375
 
1.3%
7 2086
 
0.8%
Other Punctuation
ValueCountFrequency (%)
" 162514
66.6%
, 81257
33.3%
/ 195
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
Z 180
46.2%
B 150
38.5%
A 60
 
15.4%
Dash Punctuation
ValueCountFrequency (%)
- 29548
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6659
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6659
100.0%
Space Separator
ValueCountFrequency (%)
3819
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 547691
85.1%
Hangul 95543
 
14.8%
Latin 390
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8850
 
9.3%
6345
 
6.6%
6008
 
6.3%
5903
 
6.2%
4627
 
4.8%
4627
 
4.8%
4108
 
4.3%
3717
 
3.9%
3490
 
3.7%
3001
 
3.1%
Other values (136) 44867
47.0%
Common
ValueCountFrequency (%)
" 162514
29.7%
0 102346
18.7%
, 81257
14.8%
2 57606
 
10.5%
- 29548
 
5.4%
6 23468
 
4.3%
3 22856
 
4.2%
1 21843
 
4.0%
9 10312
 
1.9%
4 6684
 
1.2%
Other values (7) 29257
 
5.3%
Latin
ValueCountFrequency (%)
Z 180
46.2%
B 150
38.5%
A 60
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 548081
85.2%
Hangul 95543
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
" 162514
29.7%
0 102346
18.7%
, 81257
14.8%
2 57606
 
10.5%
- 29548
 
5.4%
6 23468
 
4.3%
3 22856
 
4.2%
1 21843
 
4.0%
9 10312
 
1.9%
4 6684
 
1.2%
Other values (10) 29647
 
5.4%
Hangul
ValueCountFrequency (%)
8850
 
9.3%
6345
 
6.6%
6008
 
6.3%
5903
 
6.2%
4627
 
4.8%
4627
 
4.8%
4108
 
4.3%
3717
 
3.9%
3490
 
3.7%
3001
 
3.1%
Other values (136) 44867
47.0%

물류센터-공판장명,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

기준일자,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

수산물품목코드,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

수산물품목명,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

상태가공분류코드,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

상태가공분류명,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

입고량,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

출고량,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

입고량(킬로그램),
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

출고량(킬로그램),
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

데이터기준일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7387
Missing (%)100.0%
Memory size65.1 KiB

Missing values

2023-12-13T02:29:58.791130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:29:58.997531image/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

물류센터-공판장 코드,물류센터-공판장명,기준일자,수산물품목코드,수산물품목명,상태가공분류코드,상태가공분류명,입고량,출고량,입고량(킬로그램),출고량(킬로그램),데이터기준일자Unnamed: 12
0000156,"경기북부 물류센터","2022-06-01","640599","기타오징어류","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1000156,"경기북부 물류센터","2022-06-01","620899","기타꼬막류","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2000156,"경기북부 물류센터","2022-06-01","614504","북어","40","(건)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3000156,"경기북부 물류센터","2022-06-01","613102","민대구","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4000157,"(춘천) 강원물류센터","2022-06-01","720199","기타논우렁이류","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5000157,"(춘천) 강원물류센터","2022-06-01","614504","북어","40","(건)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6000157,"(춘천) 강원물류센터","2022-06-01","613102","민대구","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7108100,"외발산동 물류센터","2022-06-01","61B399","기타홍어류","30","(냉동)","34","30","680","300","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8108100,"외발산동 물류센터","2022-06-01","610899","기타고등어류","30","(냉동)","371","135","3710","1650","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9108100,"외발산동 물류센터","2022-06-01","619399","기타전갱이류","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
물류센터-공판장 코드,물류센터-공판장명,기준일자,수산물품목코드,수산물품목명,상태가공분류코드,상태가공분류명,입고량,출고량,입고량(킬로그램),출고량(킬로그램),데이터기준일자Unnamed: 12
7377248010,"전주공판장","2022-06-30","640599","기타오징어류","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7378248010,"전주공판장","2022-06-30","61B399","기타홍어류","20","(냉장/신선)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7379248010,"전주공판장","2022-06-30","630404","꽃새우","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7380248010,"전주공판장","2022-06-30","640301","낙지","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7381248010,"전주공판장","2022-06-30","612101","넙치","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7382248010,"전주공판장","2022-06-30","619603","부세","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7383248010,"전주공판장","2022-06-30","614499","기타멸치류","40","(건)","0","96","0","144","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7384248010,"전주공판장","2022-06-30","730399","기타민물새우류","30","(냉동)","0","98","0","994","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7385248010,"전주공판장","2022-06-30","933118","새우오젓","00","","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7386248010,"전주공판장","2022-06-30","618199","기타아귀류","30","(냉동)","0","0","0","0","2022-06-30"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>