Overview

Dataset statistics

Number of variables12
Number of observations180
Missing cells148
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.7 KiB
Average record size in memory100.7 B

Variable types

Numeric4
Categorical7
Boolean1

Dataset

Description해양수산부_EEZ_중국어선한국EEZ협정기본정보로 기준년도,어업종류코드,업종명,합의척수,총할당량(톤),정렬번호,확정여부,확정일자,조업수역코드,사용어구코드,업종영문명,업종한자명,최초생성시점,최종변경시점,데이터기준일자 제공합니다.
URLhttps://www.data.go.kr/data/15115866/fileData.do

Alerts

확정여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
최종변경시점 is highly overall correlated with 기준년도 and 3 other fieldsHigh correlation
확정일자 is highly overall correlated with 기준년도 and 3 other fieldsHigh correlation
어업종류코드 is highly overall correlated with 정렬번호 and 2 other fieldsHigh correlation
업종영문명 is highly overall correlated with 정렬번호 and 2 other fieldsHigh correlation
최초생성시점 is highly overall correlated with 기준년도 and 3 other fieldsHigh correlation
업종명 is highly overall correlated with 총할당량(톤) and 3 other fieldsHigh correlation
기준년도 is highly overall correlated with 확정일자 and 2 other fieldsHigh correlation
합의척수 is highly overall correlated with 총할당량(톤) and 1 other fieldsHigh correlation
총할당량(톤) is highly overall correlated with 합의척수 and 2 other fieldsHigh correlation
정렬번호 is highly overall correlated with 합의척수 and 7 other fieldsHigh correlation
합의척수 has 16 (8.9%) missing valuesMissing
총할당량(톤) has 16 (8.9%) missing valuesMissing
정렬번호 has 116 (64.4%) missing valuesMissing
합의척수 has 20 (11.1%) zerosZeros
총할당량(톤) has 59 (32.8%) zerosZeros

Reproduction

Analysis started2023-12-12 13:40:55.769477
Analysis finished2023-12-12 13:40:58.766442
Duration3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.75
Minimum2003
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:40:58.833149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2004
Q12009
median2014
Q32018.25
95-th percentile2022.05
Maximum2023
Range20
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation5.7039387
Coefficient of variation (CV)0.0028324959
Kurtosis-1.0028735
Mean2013.75
Median Absolute Deviation (MAD)5
Skewness-0.13407852
Sum362475
Variance32.534916
MonotonicityIncreasing
2023-12-12T22:40:59.234175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2014 10
 
5.6%
2009 10
 
5.6%
2010 10
 
5.6%
2011 10
 
5.6%
2012 10
 
5.6%
2013 10
 
5.6%
2015 10
 
5.6%
2016 10
 
5.6%
2017 10
 
5.6%
2018 9
 
5.0%
Other values (11) 81
45.0%
ValueCountFrequency (%)
2003 6
3.3%
2004 6
3.3%
2005 6
3.3%
2006 6
3.3%
2007 6
3.3%
2008 6
3.3%
2009 10
5.6%
2010 10
5.6%
2011 10
5.6%
2012 10
5.6%
ValueCountFrequency (%)
2023 9
5.0%
2022 9
5.0%
2021 9
5.0%
2020 9
5.0%
2019 9
5.0%
2018 9
5.0%
2017 10
5.6%
2016 10
5.6%
2015 10
5.6%
2014 10
5.6%

어업종류코드
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
FC
21 
GN
21 
PS
21 
PT
21 
SJ
21 
Other values (5)
75 

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBT
2nd rowFC
3rd rowGN
4th rowPS
5th rowPT

Common Values

ValueCountFrequency (%)
FC 21
11.7%
GN 21
11.7%
PS 21
11.7%
PT 21
11.7%
SJ 21
11.7%
BT 15
8.3%
OT 15
8.3%
PS-C 15
8.3%
PS-L 15
8.3%
PT-S 15
8.3%

Length

2023-12-12T22:40:59.396214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:40:59.592775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
fc 21
11.7%
gn 21
11.7%
ps 21
11.7%
pt 21
11.7%
sj 21
11.7%
bt 15
8.3%
ot 15
8.3%
ps-c 15
8.3%
ps-l 15
8.3%
pt-s 15
8.3%

업종명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1척식저인망어업
24 
일반어획운반선
21 
유망어업
21 
위망어업
21 
오징어채낚기어업
21 
Other values (6)
72 

Length

Max length13
Median length8
Mean length6.85
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단선타망
2nd row일반어획운반선
3rd row유망어업
4th row위망어업
5th row쌍선타망

Common Values

ValueCountFrequency (%)
1척식저인망어업 24
13.3%
일반어획운반선 21
11.7%
유망어업 21
11.7%
위망어업 21
11.7%
오징어채낚기어업 21
11.7%
위망의 운반선 15
8.3%
위망의 등선 15
8.3%
2척식저인망어업 15
8.3%
2척식저인망어업(부속선) 15
8.3%
단선타망 6
 
3.3%

Length

2023-12-12T22:40:59.784255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
위망의 30
14.3%
1척식저인망어업 24
11.4%
일반어획운반선 21
10.0%
유망어업 21
10.0%
위망어업 21
10.0%
오징어채낚기어업 21
10.0%
운반선 15
7.1%
등선 15
7.1%
2척식저인망어업 15
7.1%
2척식저인망어업(부속선 15
7.1%
Other values (2) 12
 
5.7%

합의척수
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct68
Distinct (%)41.5%
Missing16
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean226.07927
Minimum0
Maximum1376
Zeros20
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:40:59.960371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median55.5
Q3354
95-th percentile850
Maximum1376
Range1376
Interquartile range (IQR)340

Descriptive statistics

Standard deviation319.59564
Coefficient of variation (CV)1.4136442
Kurtosis0.96147018
Mean226.07927
Median Absolute Deviation (MAD)43.5
Skewness1.4534528
Sum37077
Variance102141.37
MonotonicityNot monotonic
2023-12-12T22:41:00.124297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
11.1%
55 15
 
8.3%
12 10
 
5.6%
13 7
 
3.9%
58 6
 
3.3%
349 6
 
3.3%
14 6
 
3.3%
770 6
 
3.3%
18 5
 
2.8%
92 4
 
2.2%
Other values (58) 79
43.9%
(Missing) 16
 
8.9%
ValueCountFrequency (%)
0 20
11.1%
12 10
5.6%
13 7
 
3.9%
14 6
 
3.3%
18 5
 
2.8%
20 3
 
1.7%
26 1
 
0.6%
28 1
 
0.6%
32 1
 
0.6%
36 1
 
0.6%
ValueCountFrequency (%)
1376 1
0.6%
1226 1
0.6%
1104 1
0.6%
1008 1
0.6%
956 1
0.6%
916 1
0.6%
882 1
0.6%
878 1
0.6%
850 2
1.1%
798 1
0.6%

총할당량(톤)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct51
Distinct (%)31.1%
Missing16
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean8390.7317
Minimum0
Maximum62960
Zeros59
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:41:00.297716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4141
Q38402
95-th percentile42106.85
Maximum62960
Range62960
Interquartile range (IQR)8402

Descriptive statistics

Standard deviation13722.919
Coefficient of variation (CV)1.6354854
Kurtosis3.4457182
Mean8390.7317
Median Absolute Deviation (MAD)4141
Skewness2.1022018
Sum1376080
Variance1.8831852 × 108
MonotonicityNot monotonic
2023-12-12T22:41:00.469849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
32.8%
4141 18
 
10.0%
7672 9
 
5.0%
542 7
 
3.9%
583 5
 
2.8%
9108 4
 
2.2%
38496 4
 
2.2%
7949 3
 
1.7%
37096 3
 
1.7%
8299 3
 
1.7%
Other values (41) 49
27.2%
(Missing) 16
 
8.9%
ValueCountFrequency (%)
0 59
32.8%
542 7
 
3.9%
583 5
 
2.8%
860 2
 
1.1%
1220 1
 
0.6%
1490 1
 
0.6%
1620 1
 
0.6%
1892 1
 
0.6%
2055 1
 
0.6%
2278 1
 
0.6%
ValueCountFrequency (%)
62960 1
 
0.6%
55982 1
 
0.6%
50411 1
 
0.6%
46418 1
 
0.6%
45720 1
 
0.6%
45211 1
 
0.6%
44139 1
 
0.6%
42497 2
1.1%
39896 1
 
0.6%
38496 4
2.2%

정렬번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)10.9%
Missing116
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean3.71875
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T22:41:00.608467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6.85
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8726838
Coefficient of variation (CV)0.50357882
Kurtosis-1.1639684
Mean3.71875
Median Absolute Deviation (MAD)2
Skewness0.064468014
Sum238
Variance3.5069444
MonotonicityNot monotonic
2023-12-12T22:41:00.743553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 10
 
5.6%
6 10
 
5.6%
4 10
 
5.6%
3 10
 
5.6%
1 10
 
5.6%
5 10
 
5.6%
7 4
 
2.2%
(Missing) 116
64.4%
ValueCountFrequency (%)
1 10
5.6%
2 10
5.6%
3 10
5.6%
4 10
5.6%
5 10
5.6%
6 10
5.6%
7 4
 
2.2%
ValueCountFrequency (%)
7 4
 
2.2%
6 10
5.6%
5 10
5.6%
4 10
5.6%
3 10
5.6%
2 10
5.6%
1 10
5.6%

확정여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size312.0 B
True
180 
ValueCountFrequency (%)
True 180
100.0%
2023-12-12T22:41:00.899339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

확정일자
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2017-12-03
125 
2018-11-23
 
9
2019-11-28
 
9
2020-12-15
 
9
2021-12-22
 
9
Other values (4)
19 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row2017-12-03
2nd row2017-12-03
3rd row2017-12-03
4th row2017-12-03
5th row2017-12-03

Common Values

ValueCountFrequency (%)
2017-12-03 125
69.4%
2018-11-23 9
 
5.0%
2019-11-28 9
 
5.0%
2020-12-15 9
 
5.0%
2021-12-22 9
 
5.0%
2022-12-19 9
 
5.0%
2017-12-04 8
 
4.4%
2017-12-27 1
 
0.6%
2017-12-05 1
 
0.6%

Length

2023-12-12T22:41:01.025649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:01.178516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-12-03 125
69.4%
2018-11-23 9
 
5.0%
2019-11-28 9
 
5.0%
2020-12-15 9
 
5.0%
2021-12-22 9
 
5.0%
2022-12-19 9
 
5.0%
2017-12-04 8
 
4.4%
2017-12-27 1
 
0.6%
2017-12-05 1
 
0.6%

업종영문명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
FISH CARRIER
21 
GILL NET
21 
PURSE SEINE
21 
PAIR TRAWL
21 
SQUID JOGGING
21 
Other values (5)
75 

Length

Max length33
Median length26
Mean length15.216667
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBEAM TRAWL
2nd rowFISH CARRIER
3rd rowGILL NET
4th rowPURSE SEINE
5th rowPAIR TRAWL

Common Values

ValueCountFrequency (%)
FISH CARRIER 21
11.7%
GILL NET 21
11.7%
PURSE SEINE 21
11.7%
PAIR TRAWL 21
11.7%
SQUID JOGGING 21
11.7%
BEAM TRAWL 15
8.3%
OTTER TRAWL 15
8.3%
PURSE SEINE`S FISH CARRIER VESSEL 15
8.3%
PURSE SEINE`S LIGHT VESSEL 15
8.3%
PAIR TRAWL`S SUPPORT VESSEL 15
8.3%

Length

2023-12-12T22:41:01.317688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:01.476667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
purse 51
11.0%
trawl 51
11.0%
vessel 45
 
9.7%
fish 36
 
7.7%
carrier 36
 
7.7%
pair 36
 
7.7%
seine`s 30
 
6.5%
jogging 21
 
4.5%
squid 21
 
4.5%
seine 21
 
4.5%
Other values (7) 117
25.2%

최초생성시점
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2017-12-02
126 
2017-12-04
 
9
2018-11-23
 
9
2019-11-28
 
9
2020-12-15
 
9
Other values (2)
18 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-12-02
2nd row2017-12-02
3rd row2017-12-02
4th row2017-12-02
5th row2017-12-02

Common Values

ValueCountFrequency (%)
2017-12-02 126
70.0%
2017-12-04 9
 
5.0%
2018-11-23 9
 
5.0%
2019-11-28 9
 
5.0%
2020-12-15 9
 
5.0%
2021-12-22 9
 
5.0%
2022-12-19 9
 
5.0%

Length

2023-12-12T22:41:01.668580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:01.797044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-12-02 126
70.0%
2017-12-04 9
 
5.0%
2018-11-23 9
 
5.0%
2019-11-28 9
 
5.0%
2020-12-15 9
 
5.0%
2021-12-22 9
 
5.0%
2022-12-19 9
 
5.0%

최종변경시점
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2017-12-02
116 
2017-12-03
 
9
2018-11-23
 
9
2020-03-23
 
9
2021-12-22
 
9
Other values (6)
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2017-12-02
2nd row2017-12-02
3rd row2017-12-02
4th row2017-12-02
5th row2017-12-02

Common Values

ValueCountFrequency (%)
2017-12-02 116
64.4%
2017-12-03 9
 
5.0%
2018-11-23 9
 
5.0%
2020-03-23 9
 
5.0%
2021-12-22 9
 
5.0%
2022-12-19 9
 
5.0%
2018-08-03 7
 
3.9%
2020-12-15 7
 
3.9%
2018-08-10 2
 
1.1%
2020-12-16 2
 
1.1%

Length

2023-12-12T22:41:01.969752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-12-02 116
64.4%
2017-12-03 9
 
5.0%
2018-11-23 9
 
5.0%
2020-03-23 9
 
5.0%
2021-12-22 9
 
5.0%
2022-12-19 9
 
5.0%
2018-08-03 7
 
3.9%
2020-12-15 7
 
3.9%
2018-08-10 2
 
1.1%
2020-12-16 2
 
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-21
180 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 180
100.0%

Length

2023-12-12T22:41:02.128500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:02.237385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 180
100.0%

Interactions

2023-12-12T22:40:57.933577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:56.457879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:56.966799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.429752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:58.036660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:56.593386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.098642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.582028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:58.151095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:56.712905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.197249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.698693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:58.253719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:56.840450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.313612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:40:57.817380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:41:02.329775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도어업종류코드업종명합의척수총할당량(톤)정렬번호확정일자업종영문명최초생성시점최종변경시점
기준년도1.0000.0000.0000.4170.3420.0000.8400.0000.8690.856
어업종류코드0.0001.0000.9890.6930.7641.0000.0001.0000.0000.000
업종명0.0000.9891.0000.7680.8410.9720.0000.9890.0000.000
합의척수0.4170.6930.7681.0000.8920.6950.0000.6930.1780.153
총할당량(톤)0.3420.7640.8410.8921.0000.8950.0000.7640.0000.000
정렬번호0.0001.0000.9720.6950.8951.000NaN1.000NaNNaN
확정일자0.8400.0000.0000.0000.000NaN1.0000.0001.0000.979
업종영문명0.0001.0000.9890.6930.7641.0000.0001.0000.0000.000
최초생성시점0.8690.0000.0000.1780.000NaN1.0000.0001.0001.000
최종변경시점0.8560.0000.0000.1530.000NaN0.9790.0001.0001.000
2023-12-12T22:41:02.477558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최종변경시점확정일자어업종류코드업종영문명최초생성시점업종명
최종변경시점1.0000.9290.0000.0000.9880.000
확정일자0.9291.0000.0000.0000.9940.000
어업종류코드0.0000.0001.0001.0000.0000.952
업종영문명0.0000.0001.0001.0000.0000.952
최초생성시점0.9880.9940.0000.0001.0000.000
업종명0.0000.0000.9520.9520.0001.000
2023-12-12T22:41:02.626309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합의척수총할당량(톤)정렬번호어업종류코드업종명확정일자업종영문명최초생성시점최종변경시점
기준년도1.000-0.338-0.2730.1070.0000.0000.5880.0000.6820.588
합의척수-0.3381.0000.690-0.5810.4040.4840.0000.4040.0920.066
총할당량(톤)-0.2730.6901.000-0.7930.4980.6040.0000.4980.0000.000
정렬번호0.107-0.581-0.7931.0001.0000.9241.0001.0001.0001.000
어업종류코드0.0000.4040.4981.0001.0000.9520.0001.0000.0000.000
업종명0.0000.4840.6040.9240.9521.0000.0000.9520.0000.000
확정일자0.5880.0000.0001.0000.0000.0001.0000.0000.9940.929
업종영문명0.0000.4040.4981.0001.0000.9520.0001.0000.0000.000
최초생성시점0.6820.0920.0001.0000.0000.0000.9940.0001.0000.988
최종변경시점0.5880.0660.0001.0000.0000.0000.9290.0000.9881.000

Missing values

2023-12-12T22:40:58.410608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:40:58.598621image/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.
2023-12-12T22:40:58.713580image/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

기준년도어업종류코드업종명합의척수총할당량(톤)정렬번호확정여부확정일자업종영문명최초생성시점최종변경시점데이터기준일자
02003BT단선타망5625622Y2017-12-03BEAM TRAWL2017-12-022017-12-022023-08-21
12003FC일반어획운반선8906Y2017-12-03FISH CARRIER2017-12-022017-12-022023-08-21
22003GN유망어업88284004Y2017-12-03GILL NET2017-12-022017-12-022023-08-21
32003PS위망어업135135003Y2017-12-03PURSE SEINE2017-12-022017-12-022023-08-21
42003PT쌍선타망1376629601Y2017-12-03PAIR TRAWL2017-12-022017-12-022023-08-21
52003SJ오징어채낚기어업8255785Y2017-12-03SQUID JOGGING2017-12-022017-12-022023-08-21
62004BT단선타망5122782Y2017-12-03BEAM TRAWL2017-12-022017-12-022023-08-21
72004FC일반어획운반선7906Y2017-12-03FISH CARRIER2017-12-022017-12-022023-08-21
82004GN유망어업79474974Y2017-12-03GILL NET2017-12-022017-12-022023-08-21
92004PS위망어업110120483Y2017-12-03PURSE SEINE2017-12-022017-12-022023-08-21
기준년도어업종류코드업종명합의척수총할당량(톤)정렬번호확정여부확정일자업종영문명최초생성시점최종변경시점데이터기준일자
1702022SJ오징어채낚기어업394141<NA>Y2021-12-22SQUID JOGGING2021-12-222021-12-222023-08-21
1712023FC일반어획운반선470<NA>Y2022-12-19FISH CARRIER2022-12-192022-12-192023-08-21
1722023GN유망어업45810218<NA>Y2022-12-19GILL NET2022-12-192022-12-192023-08-21
1732023OT1척식저인망어업13542<NA>Y2022-12-19OTTER TRAWL2022-12-192022-12-192023-08-21
1742023PS위망어업126949<NA>Y2022-12-19PURSE SEINE2022-12-192022-12-192023-08-21
1752023PS-C위망의 운반선120<NA>Y2022-12-19PURSE SEINE`S FISH CARRIER VESSEL2022-12-192022-12-192023-08-21
1762023PS-L위망의 등선180<NA>Y2022-12-19PURSE SEINE`S LIGHT VESSEL2022-12-192022-12-192023-08-21
1772023PT2척식저인망어업34934900<NA>Y2022-12-19PAIR TRAWL2022-12-192022-12-192023-08-21
1782023PT-S2척식저인망어업(부속선)3490<NA>Y2022-12-19PAIR TRAWL`S SUPPORT VESSEL2022-12-192022-12-192023-08-21
1792023SJ오징어채낚기어업393141<NA>Y2022-12-19SQUID JOGGING2022-12-192022-12-192023-08-21