Overview

Dataset statistics

Number of variables11
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory91.3 B

Variable types

Numeric2
Text4
Categorical2
DateTime3

Dataset

Description영광군의 내수면양식장 허가 현황을 나타낸 데이터로 허가번호, 허가자, 조업구역, 어업방법, 양식품종, 시설면적, 수면적, 등록일자, 시작일, 종료일이 있는 자료 입니다.
Author전라남도 영광군
URLhttps://www.data.go.kr/data/15106821/fileData.do

Alerts

양식품종 is highly imbalanced (55.6%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-13 12:23:28.205022
Analysis finished2024-04-13 12:23:36.802900
Duration8.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-13T21:23:37.011750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2024-04-13T21:23:37.428570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
Distinct83
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size888.0 B
2024-04-13T21:23:38.474234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5578947
Min length8

Characters and Unicode

Total characters813
Distinct characters13
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

Unique71 ?
Unique (%)74.7%

Sample

1st row제2019-18호
2nd row제2019-26호
3rd row제2019-38호
4th row제2019-43호
5th row제2019-50호
ValueCountFrequency (%)
제2022-2호 2
 
2.1%
제2022-4호 2
 
2.1%
제2022-3호 2
 
2.1%
제2024-2호 2
 
2.1%
제2020-2호 2
 
2.1%
제2022-5호 2
 
2.1%
제2024-1호 2
 
2.1%
제2022-1호 2
 
2.1%
제2023-1호 2
 
2.1%
제2023-2호 2
 
2.1%
Other values (73) 75
78.9%
2024-04-13T21:23:39.891867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 256
31.5%
0 108
13.3%
95
 
11.7%
- 95
 
11.7%
95
 
11.7%
1 68
 
8.4%
3 34
 
4.2%
4 18
 
2.2%
9 12
 
1.5%
5 10
 
1.2%
Other values (3) 22
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 528
64.9%
Other Letter 190
 
23.4%
Dash Punctuation 95
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 256
48.5%
0 108
20.5%
1 68
 
12.9%
3 34
 
6.4%
4 18
 
3.4%
9 12
 
2.3%
5 10
 
1.9%
6 8
 
1.5%
8 7
 
1.3%
7 7
 
1.3%
Other Letter
ValueCountFrequency (%)
95
50.0%
95
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 623
76.6%
Hangul 190
 
23.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 256
41.1%
0 108
17.3%
- 95
 
15.2%
1 68
 
10.9%
3 34
 
5.5%
4 18
 
2.9%
9 12
 
1.9%
5 10
 
1.6%
6 8
 
1.3%
8 7
 
1.1%
Hangul
ValueCountFrequency (%)
95
50.0%
95
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 623
76.6%
Hangul 190
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 256
41.1%
0 108
17.3%
- 95
 
15.2%
1 68
 
10.9%
3 34
 
5.5%
4 18
 
2.9%
9 12
 
1.9%
5 10
 
1.6%
6 8
 
1.3%
8 7
 
1.1%
Hangul
ValueCountFrequency (%)
95
50.0%
95
50.0%
Distinct79
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size888.0 B
2024-04-13T21:23:40.925633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length4.1789474
Min length3

Characters and Unicode

Total characters397
Distinct characters97
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)68.4%

Sample

1st row정*훈
2nd row김*현
3rd row문*식
4th row박*섭
5th row고*희
ValueCountFrequency (%)
이*서 3
 
3.0%
강*구 3
 
3.0%
이*준 2
 
2.0%
정*훈 2
 
2.0%
조*수 2
 
2.0%
임*순 2
 
2.0%
김*자 2
 
2.0%
박*욱 2
 
2.0%
최*정 2
 
2.0%
정*재 2
 
2.0%
Other values (74) 78
78.0%
2024-04-13T21:23:42.443535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 95
23.9%
18
 
4.5%
14
 
3.5%
12
 
3.0%
12
 
3.0%
11
 
2.8%
11
 
2.8%
10
 
2.5%
10
 
2.5%
9
 
2.3%
Other values (87) 195
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 284
71.5%
Other Punctuation 95
 
23.9%
Close Punctuation 5
 
1.3%
Open Punctuation 5
 
1.3%
Space Separator 5
 
1.3%
Decimal Number 2
 
0.5%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
6.3%
14
 
4.9%
12
 
4.2%
12
 
4.2%
11
 
3.9%
11
 
3.9%
10
 
3.5%
10
 
3.5%
9
 
3.2%
9
 
3.2%
Other values (81) 168
59.2%
Other Punctuation
ValueCountFrequency (%)
* 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 285
71.8%
Common 112
 
28.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
6.3%
14
 
4.9%
12
 
4.2%
12
 
4.2%
11
 
3.9%
11
 
3.9%
10
 
3.5%
10
 
3.5%
9
 
3.2%
9
 
3.2%
Other values (82) 169
59.3%
Common
ValueCountFrequency (%)
* 95
84.8%
) 5
 
4.5%
( 5
 
4.5%
5
 
4.5%
1 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 284
71.5%
ASCII 112
 
28.2%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 95
84.8%
) 5
 
4.5%
( 5
 
4.5%
5
 
4.5%
1 2
 
1.8%
Hangul
ValueCountFrequency (%)
18
 
6.3%
14
 
4.9%
12
 
4.2%
12
 
4.2%
11
 
3.9%
11
 
3.9%
10
 
3.5%
10
 
3.5%
9
 
3.2%
9
 
3.2%
Other values (81) 168
59.2%
None
ValueCountFrequency (%)
1
100.0%
Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size888.0 B
2024-04-13T21:23:43.426594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length41
Mean length26.378947
Min length13

Characters and Unicode

Total characters2506
Distinct characters86
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row영광군 법성면 용덕리 479-2번지 외 1필지(479-3)
2nd row영광군 군서면 보라리 645-1
3rd row영광군 불갑면 건무리 26-1 외 1필지 26-6
4th row영광군 불갑면 건무리 26-2 외 2필지(26-3, 26-9)
5th row영광군 법성면 대덕리 832-8번지
ValueCountFrequency (%)
영광군 95
 
18.6%
34
 
6.7%
백수읍 30
 
5.9%
법성면 28
 
5.5%
영광읍 10
 
2.0%
덕흥리 8
 
1.6%
전남 7
 
1.4%
용성리 7
 
1.4%
용덕리 7
 
1.4%
하사리 7
 
1.4%
Other values (220) 277
54.3%
2024-04-13T21:23:44.885616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
415
 
16.6%
1 158
 
6.3%
- 148
 
5.9%
105
 
4.2%
105
 
4.2%
2 102
 
4.1%
101
 
4.0%
96
 
3.8%
4 84
 
3.4%
78
 
3.1%
Other values (76) 1114
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
42.9%
Decimal Number 736
29.4%
Space Separator 415
 
16.6%
Dash Punctuation 148
 
5.9%
Open Punctuation 47
 
1.9%
Close Punctuation 47
 
1.9%
Other Punctuation 38
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
9.8%
105
 
9.8%
101
 
9.4%
96
 
8.9%
78
 
7.3%
52
 
4.8%
46
 
4.3%
44
 
4.1%
44
 
4.1%
41
 
3.8%
Other values (61) 363
33.8%
Decimal Number
ValueCountFrequency (%)
1 158
21.5%
2 102
13.9%
4 84
11.4%
3 74
10.1%
5 68
9.2%
7 62
 
8.4%
8 55
 
7.5%
0 46
 
6.2%
9 44
 
6.0%
6 43
 
5.8%
Space Separator
ValueCountFrequency (%)
415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1431
57.1%
Hangul 1075
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
9.8%
105
 
9.8%
101
 
9.4%
96
 
8.9%
78
 
7.3%
52
 
4.8%
46
 
4.3%
44
 
4.1%
44
 
4.1%
41
 
3.8%
Other values (61) 363
33.8%
Common
ValueCountFrequency (%)
415
29.0%
1 158
 
11.0%
- 148
 
10.3%
2 102
 
7.1%
4 84
 
5.9%
3 74
 
5.2%
5 68
 
4.8%
7 62
 
4.3%
8 55
 
3.8%
( 47
 
3.3%
Other values (5) 218
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1431
57.1%
Hangul 1075
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
415
29.0%
1 158
 
11.0%
- 148
 
10.3%
2 102
 
7.1%
4 84
 
5.9%
3 74
 
5.2%
5 68
 
4.8%
7 62
 
4.3%
8 55
 
3.8%
( 47
 
3.3%
Other values (5) 218
15.2%
Hangul
ValueCountFrequency (%)
105
 
9.8%
105
 
9.8%
101
 
9.4%
96
 
8.9%
78
 
7.3%
52
 
4.8%
46
 
4.3%
44
 
4.1%
44
 
4.1%
41
 
3.8%
Other values (61) 363
33.8%

어업방법
Categorical

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size888.0 B
순환여과식
32 
수조식
30 
축제식
21 
지수식
11 
수조식, 순환여과식
 
1

Length

Max length10
Median length3
Mean length3.7473684
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row수조식
2nd row축제식
3rd row축제식
4th row축제식
5th row축제식

Common Values

ValueCountFrequency (%)
순환여과식 32
33.7%
수조식 30
31.6%
축제식 21
22.1%
지수식 11
 
11.6%
수조식, 순환여과식 1
 
1.1%

Length

2024-04-13T21:23:45.314125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:23:45.655669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순환여과식 33
34.4%
수조식 31
32.3%
축제식 21
21.9%
지수식 11
 
11.5%

양식품종
Categorical

IMBALANCE 

Distinct11
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size888.0 B
뱀장어
71 
우렁이
동자개
 
5
동자개, 뱀장어
 
2
미꾸라지
 
2
Other values (6)
 
7

Length

Max length15
Median length3
Mean length3.6736842
Min length2

Unique

Unique5 ?
Unique (%)5.3%

Sample

1st row뱀장어
2nd row뱀장어,동자개,메기.미꾸라지
3rd row동자개, 뱀장어
4th row동자개, 뱀장어
5th row미꾸라지

Common Values

ValueCountFrequency (%)
뱀장어 71
74.7%
우렁이 8
 
8.4%
동자개 5
 
5.3%
동자개, 뱀장어 2
 
2.1%
미꾸라지 2
 
2.1%
미꾸라지, 붕어, 뱀장어 2
 
2.1%
뱀장어,동자개,메기.미꾸라지 1
 
1.1%
동자개, 향어, 붕어 1
 
1.1%
동자개, 붕어 1
 
1.1%
자라 1
 
1.1%

Length

2024-04-13T21:23:46.036233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
뱀장어 76
71.7%
동자개 10
 
9.4%
우렁이 8
 
7.5%
미꾸라지 4
 
3.8%
붕어 4
 
3.8%
뱀장어,동자개,메기.미꾸라지 1
 
0.9%
향어 1
 
0.9%
자라 1
 
0.9%
메기 1
 
0.9%

시설면적
Real number (ℝ)

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3412.3612
Minimum402
Maximum19671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-13T21:23:46.579066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum402
5-th percentile665.268
Q12107.82
median2958.3
Q34171.73
95-th percentile6928
Maximum19671
Range19269
Interquartile range (IQR)2063.91

Descriptive statistics

Standard deviation2533.6836
Coefficient of variation (CV)0.74250159
Kurtosis18.898726
Mean3412.3612
Median Absolute Deviation (MAD)966.7
Skewness3.5185242
Sum324174.31
Variance6419552.5
MonotonicityNot monotonic
2024-04-13T21:23:46.964991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4113.7 2
 
2.1%
2328.4 2
 
2.1%
2633.28 1
 
1.1%
4725.08 1
 
1.1%
2128.09 1
 
1.1%
3843.0 1
 
1.1%
3084.0 1
 
1.1%
6200.0 1
 
1.1%
1534.0 1
 
1.1%
402.0 1
 
1.1%
Other values (83) 83
87.4%
ValueCountFrequency (%)
402.0 1
1.1%
436.8 1
1.1%
540.0 1
1.1%
564.62 1
1.1%
600.0 1
1.1%
693.24 1
1.1%
959.14 1
1.1%
1017.0 1
1.1%
1055.88 1
1.1%
1058.21 1
1.1%
ValueCountFrequency (%)
19671.0 1
1.1%
12603.0 1
1.1%
9516.0 1
1.1%
7728.0 1
1.1%
7495.0 1
1.1%
6685.0 1
1.1%
6200.0 1
1.1%
5390.0 1
1.1%
5332.69 1
1.1%
4965.75 1
1.1%
Distinct92
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size888.0 B
2024-04-13T21:23:47.934248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.5473684
Min length3

Characters and Unicode

Total characters527
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)93.7%

Sample

1st row1801.28
2nd row1244
3rd row2171.5
4th row1710
5th row3348
ValueCountFrequency (%)
1593 2
 
2.1%
3204 2
 
2.1%
1414.48 2
 
2.1%
1351.8 1
 
1.1%
2390 1
 
1.1%
5723 1
 
1.1%
738.51 1
 
1.1%
234.5 1
 
1.1%
1683.5 1
 
1.1%
1711.86 1
 
1.1%
Other values (82) 82
86.3%
2024-04-13T21:23:49.119194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 67
12.7%
2 63
12.0%
. 57
10.8%
3 50
9.5%
4 44
8.3%
6 44
8.3%
8 43
8.2%
5 41
7.8%
9 41
7.8%
0 36
6.8%
Other values (3) 41
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 463
87.9%
Other Punctuation 58
 
11.0%
Space Separator 6
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67
14.5%
2 63
13.6%
3 50
10.8%
4 44
9.5%
6 44
9.5%
8 43
9.3%
5 41
8.9%
9 41
8.9%
0 36
7.8%
7 34
7.3%
Other Punctuation
ValueCountFrequency (%)
. 57
98.3%
, 1
 
1.7%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 67
12.7%
2 63
12.0%
. 57
10.8%
3 50
9.5%
4 44
8.3%
6 44
8.3%
8 43
8.2%
5 41
7.8%
9 41
7.8%
0 36
6.8%
Other values (3) 41
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 67
12.7%
2 63
12.0%
. 57
10.8%
3 50
9.5%
4 44
8.3%
6 44
8.3%
8 43
8.2%
5 41
7.8%
9 41
7.8%
0 36
6.8%
Other values (3) 41
7.8%
Distinct72
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size888.0 B
Minimum2019-04-01 00:00:00
Maximum2028-11-30 00:00:00
2024-04-13T21:23:49.358089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:23:49.594314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct72
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size888.0 B
Minimum2019-04-01 00:00:00
Maximum2028-11-30 00:00:00
2024-04-13T21:23:49.828155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:23:50.064469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct73
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size888.0 B
Minimum2024-03-05 00:00:00
Maximum2029-02-15 00:00:00
2024-04-13T21:23:50.302963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:23:50.552967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-13T21:23:35.479713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:23:34.990399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:23:35.722393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T21:23:35.224662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:23:50.739742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번허가번호허 가 자조업구역어업방법양식품종시설면적수면적등록일자시작일종료일
연번1.0000.9270.8061.0000.6680.5740.2720.9390.9910.9910.991
허가번호0.9271.0000.9630.9980.5860.0000.0000.9880.9830.9830.985
허 가 자0.8060.9631.0000.9940.9090.8340.9530.9840.9800.9800.979
조업구역1.0000.9980.9941.0001.0001.0001.0001.0000.9960.9960.996
어업방법0.6680.5860.9091.0001.0000.5540.1030.9590.7690.7690.769
양식품종0.5740.0000.8341.0000.5541.0000.2391.0000.9780.9780.976
시설면적0.2720.0000.9531.0000.1030.2391.0001.0000.0000.0000.000
수면적0.9390.9880.9841.0000.9591.0001.0001.0000.9830.9830.985
등록일자0.9910.9830.9800.9960.7690.9780.0000.9831.0001.0001.000
시작일0.9910.9830.9800.9960.7690.9780.0000.9831.0001.0001.000
종료일0.9910.9850.9790.9960.7690.9760.0000.9851.0001.0001.000
2024-04-13T21:23:50.949255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
양식품종어업방법
양식품종1.0000.332
어업방법0.3321.000
2024-04-13T21:23:51.089270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설면적어업방법양식품종
연번1.0000.1620.3280.283
시설면적0.1621.0000.0610.081
어업방법0.3280.0611.0000.332
양식품종0.2830.0810.3321.000

Missing values

2024-04-13T21:23:36.099609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:23:36.595783image/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

연번허가번호허 가 자조업구역어업방법양식품종시설면적수면적등록일자시작일종료일
01제2019-18호정*훈영광군 법성면 용덕리 479-2번지 외 1필지(479-3)수조식뱀장어2633.281801.282019-04-012019-04-012024-03-31
12제2019-26호김*현영광군 군서면 보라리 645-1축제식뱀장어,동자개,메기.미꾸라지2332.012442019-05-152019-05-152024-05-14
23제2019-38호문*식영광군 불갑면 건무리 26-1 외 1필지 26-6축제식동자개, 뱀장어2571.02171.52019-08-012019-08-012024-07-31
34제2019-43호박*섭영광군 불갑면 건무리 26-2 외 2필지(26-3, 26-9)축제식동자개, 뱀장어2584.017102019-09-232019-09-232024-09-22
45제2019-50호고*희영광군 법성면 대덕리 832-8번지축제식미꾸라지4285.033482019-11-062019-11-062024-11-05
56제2020-2호백*운영광군 영광읍 우평리 752-1축제식동자개2256.011682020-01-312020-01-312025-01-29
67제2020-3호문*명영광군 백수읍 상사리 1551-7번지축제식동자개3677.027002020-02-032020-02-032025-02-02
78제2020-9호이*심영광군 법성면 용덕리 450-4번지 외1필지(450-5)순환여과식뱀장어2054.51780.642020-05-212020-05-212025-05-20
89제2020-11호박*철영광군 백수읍 하사리 1025-3번지 외 2필지(1025-4, 6)순환여과식뱀장어2951.04977.442020-06-172020-06-172025-06-16
910제2020-2호김*경영광군 백수읍 상사리 1550-7축제식동자개3642.525322020-10-122020-10-122025-10-11
연번허가번호허 가 자조업구역어업방법양식품종시설면적수면적등록일자시작일종료일
8586제2023-12호김*화영광군 백수읍 약수리 534 외 1필지(535-1)수조식우렁이4229.7632982028-11-302028-11-302028-11-30
8687제2023-13호김*자영광군 영광읍 월평리 14-6번지 외 2필지(14-10, 14-11)순환여과식뱀장어2328.41414.482023-12-272023-12-272028-12-26
8788제2023-4호대*철영광군 묘량면 신천리 623-1 외3 필지(629-1, 2, 3)축제식우렁이9516.086822023-12-272023-12-272028-12-26
8889제2024-1호최*식영광군 군서면 만곡리 821-1순환여과식뱀장어4867.016802024-01-182024-01-182029-01-17
8990제2024-1호강*구영광군 백수읍 죽사리 271-3 외 3필지(271-4, 271-5, 271-6)축제식우렁이7728.061892024-01-182024-01-182029-01-17
9091제2024-2호강*구영광군 백수읍 학산리 522-2 외 1필지(죽사리 730-3)축제식우렁이4713.329672024-01-182024-01-182029-01-17
9192제2024-2호윤*숙전남 영광군 법성면 용성리 843-1, 843-2순환여과식뱀장어2073.51034.792024-01-302024-01-302029-01-29
9293제2024-3호유*분영광군 대마면 홍교리 433번지축제식우렁이3000.026552024-02-082024-02-082029-02-07
9394제2024-4호김*경전남 영광군 백수읍 상사리 1550-4축제식동자개2980.023902024-02-142024-02-142029-02-13
9495제2024-5호윤*옥영광군 군서면 송학리 767-2축제식우렁이2634.017022024-02-162024-02-162029-02-15