Overview

Dataset statistics

Number of variables12
Number of observations251
Missing cells2761
Missing cells (%)91.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory107.5 B

Variable types

Text1
Unsupported11

Dataset

Description수산물 수출입정보는 국내에 수출 및 수입되는 수산물에 대한 월별 통계정보로 관세청에서 보유한 데이터를 집계하여 제공하는 데이터로 국가별 수출입정보를 제공하는 목록입니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15012420/fileData.do

Alerts

국가코드, has 251 (100.0%) missing valuesMissing
수출입구분코드, has 251 (100.0%) missing valuesMissing
순위, has 251 (100.0%) missing valuesMissing
국가명, has 251 (100.0%) missing valuesMissing
수출입구분명, has 251 (100.0%) missing valuesMissing
당월수출입중량(킬로그램), has 251 (100.0%) missing valuesMissing
당월수출입미화금액(달러), has 251 (100.0%) missing valuesMissing
당해누계수출입중량(킬로그램), has 251 (100.0%) missing valuesMissing
당해누계수출입미화금액(달러), has 251 (100.0%) missing valuesMissing
데이터기준일자 has 251 (100.0%) missing valuesMissing
Unnamed: 11 has 251 (100.0%) missing valuesMissing
기준년월, has unique valuesUnique
국가코드, is an unsupported type, check if it needs cleaning or further analysisUnsupported
수출입구분코드, is an unsupported type, check if it needs cleaning or further analysisUnsupported
순위, is an unsupported type, check if it needs cleaning or further analysisUnsupported
국가명, is an unsupported type, check if it needs cleaning or further analysisUnsupported
수출입구분명, is an unsupported type, check if it needs cleaning or further analysisUnsupported
당월수출입중량(킬로그램), is an unsupported type, check if it needs cleaning or further analysisUnsupported
당월수출입미화금액(달러), is an unsupported type, check if it needs cleaning or further analysisUnsupported
당해누계수출입중량(킬로그램), is an unsupported type, check if it needs cleaning or further analysisUnsupported
당해누계수출입미화금액(달러), 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: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 11:25:19.891448
Analysis finished2023-12-12 11:25:20.486390
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월,
Text

UNIQUE 

Distinct251
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-12T20:25:20.796252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length82
Mean length77.358566
Min length64

Characters and Unicode

Total characters19417
Distinct characters201
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

Unique251 ?
Unique (%)100.0%

Sample

1st row2022-05,"CN","E","1","중국","수출","37282490","85962884","172746731","399486759","2022-05-31"
2nd row2022-05,"JP","E","2","일본","수출","12222965","65501884","43873120","258458768","2022-05-31"
3rd row2022-05,"US","E","3","미국","수출","2393446","37235380","15721686","221363490","2022-05-31"
4th row2022-05,"VN","E","4","베트남","수출","9587264","20398166","41564980","97395978","2022-05-31"
5th row2022-05,"TH","E","5","태국","수출","3565507","9066861","36922541","71075350","2022-05-31"
ValueCountFrequency (%)
2022-05,"cn","e","1","중국","수출","37282490","85962884","172746731","399486759","2022-05-31 1
 
0.4%
2022-05,"za","i","50","남아프리카","수입","95474","255002","570432","1552351","2022-05-31 1
 
0.4%
2022-05,"sl","i","36","시에라리온","수입","285313","1342065","1021414","4560015","2022-05-31 1
 
0.4%
2022-05,"vu","i","37","바누아트","수입","197911","1302237","838571","4306894","2022-05-31 1
 
0.4%
2022-05,"ly","i","38","리비아","수입","15661","371925","145283","4231475","2022-05-31 1
 
0.4%
2022-05,"pt","i","39","포르투갈","수입","237815","532918","2181855","3922921","2022-05-31 1
 
0.4%
2022-05,"ie","i","40","아일랜드","수입","132763","1274390","387792","3889664","2022-05-31 1
 
0.4%
2022-05,"mm","i","41","미얀마","수입","134729","756432","1229178","3780946","2022-05-31 1
 
0.4%
2022-05,"om","i","42","오만","수입","355584","818994","1446663","3573115","2022-05-31 1
 
0.4%
2022-05,"bh","i","43","바레인","수입","148248","655293","844630","3499451","2022-05-31 1
 
0.4%
Other values (242) 242
96.0%
2023-12-12T20:25:21.548551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
" 5020
25.9%
, 2510
12.9%
2 2090
10.8%
0 1706
 
8.8%
1 1013
 
5.2%
5 998
 
5.1%
3 783
 
4.0%
- 754
 
3.9%
4 500
 
2.6%
8 492
 
2.5%
Other values (191) 3551
18.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8940
46.0%
Other Punctuation 7530
38.8%
Other Letter 1439
 
7.4%
Dash Punctuation 754
 
3.9%
Uppercase Letter 753
 
3.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 252
 
17.5%
입 127
 
8.8%
출 124
 
8.6%
아 87
 
6.0%
리 40
 
2.8%
스 33
 
2.3%
이 32
 
2.2%
라 24
 
1.7%
니 24
 
1.7%
르 23
 
1.6%
Other values (151) 673
46.8%
Uppercase Letter
ValueCountFrequency (%)
E 152
20.2%
I 149
19.8%
M 36
 
4.8%
G 32
 
4.2%
A 30
 
4.0%
S 28
 
3.7%
N 28
 
3.7%
T 27
 
3.6%
K 23
 
3.1%
L 23
 
3.1%
Other values (16) 225
29.9%
Decimal Number
ValueCountFrequency (%)
2 2090
23.4%
0 1706
19.1%
1 1013
11.3%
5 998
11.2%
3 783
 
8.8%
4 500
 
5.6%
8 492
 
5.5%
6 490
 
5.5%
7 452
 
5.1%
9 416
 
4.7%
Other Punctuation
ValueCountFrequency (%)
" 5020
66.7%
, 2510
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 754
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17225
88.7%
Hangul 1439
 
7.4%
Latin 753
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 252
 
17.5%
입 127
 
8.8%
출 124
 
8.6%
아 87
 
6.0%
리 40
 
2.8%
스 33
 
2.3%
이 32
 
2.2%
라 24
 
1.7%
니 24
 
1.7%
르 23
 
1.6%
Other values (151) 673
46.8%
Latin
ValueCountFrequency (%)
E 152
20.2%
I 149
19.8%
M 36
 
4.8%
G 32
 
4.2%
A 30
 
4.0%
S 28
 
3.7%
N 28
 
3.7%
T 27
 
3.6%
K 23
 
3.1%
L 23
 
3.1%
Other values (16) 225
29.9%
Common
ValueCountFrequency (%)
" 5020
29.1%
, 2510
14.6%
2 2090
12.1%
0 1706
 
9.9%
1 1013
 
5.9%
5 998
 
5.8%
3 783
 
4.5%
- 754
 
4.4%
4 500
 
2.9%
8 492
 
2.9%
Other values (4) 1359
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17978
92.6%
Hangul 1439
 
7.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
" 5020
27.9%
, 2510
14.0%
2 2090
11.6%
0 1706
 
9.5%
1 1013
 
5.6%
5 998
 
5.6%
3 783
 
4.4%
- 754
 
4.2%
4 500
 
2.8%
8 492
 
2.7%
Other values (30) 2112
11.7%
Hangul
ValueCountFrequency (%)
수 252
 
17.5%
입 127
 
8.8%
출 124
 
8.6%
아 87
 
6.0%
리 40
 
2.8%
스 33
 
2.3%
이 32
 
2.2%
라 24
 
1.7%
니 24
 
1.7%
르 23
 
1.6%
Other values (151) 673
46.8%

국가코드,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

수출입구분코드,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

순위,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

국가명,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

수출입구분명,
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

당월수출입중량(킬로그램),
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

당월수출입미화금액(달러),
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

당해누계수출입중량(킬로그램),
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

당해누계수출입미화금액(달러),
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

데이터기준일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing251
Missing (%)100.0%
Memory size2.3 KiB

Missing values

2023-12-12T20:25:20.159397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:25:20.402589image/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

기준년월,국가코드,수출입구분코드,순위,국가명,수출입구분명,당월수출입중량(킬로그램),당월수출입미화금액(달러),당해누계수출입중량(킬로그램),당해누계수출입미화금액(달러),데이터기준일자Unnamed: 11
02022-05,"CN","E","1","중국","수출","37282490","85962884","172746731","399486759","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12022-05,"JP","E","2","일본","수출","12222965","65501884","43873120","258458768","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22022-05,"US","E","3","미국","수출","2393446","37235380","15721686","221363490","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32022-05,"VN","E","4","베트남","수출","9587264","20398166","41564980","97395978","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42022-05,"TH","E","5","태국","수출","3565507","9066861","36922541","71075350","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52022-05,"FR","E","6","프랑스","수출","376183","5857553","2517853","40615456","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62022-05,"TW","E","7","대만","수출","861042","6935486","3259910","29666062","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72022-05,"ID","E","8","인도네시아","수출","2683989","6491904","12217784","26170008","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82022-05,"PH","E","9","필리핀","수출","3750039","6190165","14067973","25831360","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92022-05,"HK","E","10","홍콩","수출","301700","8345710","1105282","24930018","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
기준년월,국가코드,수출입구분코드,순위,국가명,수출입구분명,당월수출입중량(킬로그램),당월수출입미화금액(달러),당해누계수출입중량(킬로그램),당해누계수출입미화금액(달러),데이터기준일자Unnamed: 11
2412022-05,"QA","I","118","카타르","수입","0","0","9","1039","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2422022-05,"HU","I","119","헝가리","수입","0","0","2","905","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2432022-05,"MN","I","120","몽고","수입","3","35","17","206","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2442022-05,"ET","I","121","이디오피아","수입","40","137","40","137","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2452022-05,"ZZ","I","122","기타국","수입","0","0","60","125","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2462022-05,"KG","I","123","키르기스","수입","0","0","0","117","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2472022-05,"AQ","I","124","안타티카","수입","642","71","642","71","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2482022-05,"SK","I","125","슬로바키아","수입","0","0","6","52","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2492022-05,"PF","I","126","프랑스령 폴리네시아","수입","0","0","9","49","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2502022-05,"UG","I","127","우간다","수입","0","12","0","12","2022-05-31"<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>