Overview

Dataset statistics

Number of variables7
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory60.8 B

Variable types

Numeric3
Categorical2
Text2

Dataset

Description2022년 5월 현재 전라남도 고흥군 관내(16개 읍면 전체)에 설치된 육상 양식장 현황
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15100141/fileData.do

Alerts

수조면적 is highly overall correlated with 시설규모High correlation
시설규모 is highly overall correlated with 수조면적High correlation
연번 has unique valuesUnique
인허가번호 has unique valuesUnique
시설위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:11:08.474979
Analysis finished2023-12-12 02:11:09.919071
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T11:11:10.005240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2023-12-12T11:11:10.220152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

성명(상호명)
Categorical

Distinct25
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
김**
21 
이**
12 
정**
9 
여**
3 
곽**
3 
Other values (20)
25 

Length

Max length17
Median length3
Mean length3.6575342
Min length3

Unique

Unique15 ?
Unique (%)20.5%

Sample

1st row신**
2nd row김**
3rd row김**
4th row김**
5th row이**

Common Values

ValueCountFrequency (%)
김** 21
28.8%
이** 12
16.4%
정** 9
12.3%
여** 3
 
4.1%
곽** 3
 
4.1%
홍** 2
 
2.7%
박** 2
 
2.7%
임** 2
 
2.7%
방** 2
 
2.7%
신** 2
 
2.7%
Other values (15) 15
20.5%

Length

2023-12-12T11:11:10.378258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김 21
26.9%
이 12
15.4%
정 9
11.5%
여 3
 
3.8%
곽 3
 
3.8%
임 2
 
2.6%
방 2
 
2.6%
신 2
 
2.6%
박 2
 
2.6%
홍 2
 
2.6%
Other values (19) 20
25.6%

인허가번호
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T11:11:10.683578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length29
Mean length28.780822
Min length24

Characters and Unicode

Total characters2101
Distinct characters28
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

Unique73 ?
Unique (%)100.0%

Sample

1st row고흥군 내수양식어업 제2022-00001호
2nd row고흥군 육상축제식해수양식어업 제2022-00003호
3rd row고흥군 육상축제식해수양식어업 제2022-00002호
4th row고흥군 육상축제식해수양식어업 제2022-00001호
5th row고흥군 육상수조식해수양식어업 제2022-00001호
ValueCountFrequency (%)
고흥군 73
33.3%
육상수조식해수양식어업 36
16.4%
육상축제식해수양식어업 29
 
13.2%
육상수조식내수양식업 5
 
2.3%
제2022-00001호 3
 
1.4%
제2021-00004호 3
 
1.4%
제2021-00003호 3
 
1.4%
제2021-00002호 3
 
1.4%
제2021-00001호 3
 
1.4%
제2021-00007호 2
 
0.9%
Other values (53) 59
26.9%
2023-12-12T11:11:11.187345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 365
17.4%
219
 
10.4%
식 143
 
6.8%
2 133
 
6.3%
수 114
 
5.4%
제 102
 
4.9%
1 85
 
4.0%
호 73
 
3.5%
흥 73
 
3.5%
- 73
 
3.5%
Other values (18) 721
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1152
54.8%
Decimal Number 657
31.3%
Space Separator 219
 
10.4%
Dash Punctuation 73
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 143
12.4%
수 114
9.9%
제 102
 
8.9%
호 73
 
6.3%
흥 73
 
6.3%
고 73
 
6.3%
업 73
 
6.3%
양 73
 
6.3%
군 73
 
6.3%
상 72
 
6.2%
Other values (6) 283
24.6%
Decimal Number
ValueCountFrequency (%)
0 365
55.6%
2 133
 
20.2%
1 85
 
12.9%
9 22
 
3.3%
8 14
 
2.1%
3 9
 
1.4%
7 9
 
1.4%
4 8
 
1.2%
6 6
 
0.9%
5 6
 
0.9%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1152
54.8%
Common 949
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 143
12.4%
수 114
9.9%
제 102
 
8.9%
호 73
 
6.3%
흥 73
 
6.3%
고 73
 
6.3%
업 73
 
6.3%
양 73
 
6.3%
군 73
 
6.3%
상 72
 
6.2%
Other values (6) 283
24.6%
Common
ValueCountFrequency (%)
0 365
38.5%
219
23.1%
2 133
 
14.0%
1 85
 
9.0%
- 73
 
7.7%
9 22
 
2.3%
8 14
 
1.5%
3 9
 
0.9%
7 9
 
0.9%
4 8
 
0.8%
Other values (2) 12
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1152
54.8%
ASCII 949
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 365
38.5%
219
23.1%
2 133
 
14.0%
1 85
 
9.0%
- 73
 
7.7%
9 22
 
2.3%
8 14
 
1.5%
3 9
 
0.9%
7 9
 
0.9%
4 8
 
0.8%
Other values (2) 12
 
1.3%
Hangul
ValueCountFrequency (%)
식 143
12.4%
수 114
9.9%
제 102
 
8.9%
호 73
 
6.3%
흥 73
 
6.3%
고 73
 
6.3%
업 73
 
6.3%
양 73
 
6.3%
군 73
 
6.3%
상 72
 
6.2%
Other values (6) 283
24.6%

시설위치
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T11:11:11.593894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length39
Mean length23.465753
Min length14

Characters and Unicode

Total characters1713
Distinct characters78
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

Unique73 ?
Unique (%)100.0%

Sample

1st row전남 고흥군 대서면 화산리 1926번지 외1필지
2nd row전남 고흥군 도화면 구암리 1548, 1549
3rd row전남 고흥군 도화면 구암리 1529, 1530, 1531-1
4th row전남 고흥군 도화면 구암리 1531
5th row전남 고흥군 도덕면 가야리 3263-5
ValueCountFrequency (%)
고흥군 73
 
19.2%
전남 22
 
5.8%
도화면 22
 
5.8%
구암리 16
 
4.2%
두원면 11
 
2.9%
금산면 10
 
2.6%
도덕면 8
 
2.1%
가야리 7
 
1.8%
도양읍 6
 
1.6%
용반리 5
 
1.3%
Other values (162) 200
52.6%
2023-12-12T11:11:12.191786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307
17.9%
1 151
 
8.8%
고 73
 
4.3%
흥 73
 
4.3%
군 73
 
4.3%
5 68
 
4.0%
면 67
 
3.9%
리 67
 
3.9%
- 65
 
3.8%
3 58
 
3.4%
Other values (68) 711
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 741
43.3%
Decimal Number 545
31.8%
Space Separator 307
17.9%
Dash Punctuation 65
 
3.8%
Other Punctuation 53
 
3.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 73
 
9.9%
흥 73
 
9.9%
군 73
 
9.9%
면 67
 
9.0%
리 67
 
9.0%
도 41
 
5.5%
남 27
 
3.6%
화 26
 
3.5%
전 24
 
3.2%
구 16
 
2.2%
Other values (53) 254
34.3%
Decimal Number
ValueCountFrequency (%)
1 151
27.7%
5 68
12.5%
3 58
 
10.6%
0 54
 
9.9%
2 50
 
9.2%
6 48
 
8.8%
9 35
 
6.4%
7 34
 
6.2%
4 24
 
4.4%
8 23
 
4.2%
Space Separator
ValueCountFrequency (%)
307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 972
56.7%
Hangul 741
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 73
 
9.9%
흥 73
 
9.9%
군 73
 
9.9%
면 67
 
9.0%
리 67
 
9.0%
도 41
 
5.5%
남 27
 
3.6%
화 26
 
3.5%
전 24
 
3.2%
구 16
 
2.2%
Other values (53) 254
34.3%
Common
ValueCountFrequency (%)
307
31.6%
1 151
15.5%
5 68
 
7.0%
- 65
 
6.7%
3 58
 
6.0%
0 54
 
5.6%
, 53
 
5.5%
2 50
 
5.1%
6 48
 
4.9%
9 35
 
3.6%
Other values (5) 83
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 972
56.7%
Hangul 741
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
307
31.6%
1 151
15.5%
5 68
 
7.0%
- 65
 
6.7%
3 58
 
6.0%
0 54
 
5.6%
, 53
 
5.5%
2 50
 
5.1%
6 48
 
4.9%
9 35
 
3.6%
Other values (5) 83
 
8.5%
Hangul
ValueCountFrequency (%)
고 73
 
9.9%
흥 73
 
9.9%
군 73
 
9.9%
면 67
 
9.0%
리 67
 
9.0%
도 41
 
5.5%
남 27
 
3.6%
화 26
 
3.5%
전 24
 
3.2%
구 16
 
2.2%
Other values (53) 254
34.3%

수조면적
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3973.1978
Minimum74
Maximum29900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T11:11:12.364087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile226.496
Q1600
median1646
Q35024
95-th percentile14646.8
Maximum29900
Range29826
Interquartile range (IQR)4424

Descriptive statistics

Standard deviation5320.0455
Coefficient of variation (CV)1.3389833
Kurtosis7.5124107
Mean3973.1978
Median Absolute Deviation (MAD)1214
Skewness2.431794
Sum290043.44
Variance28302885
MonotonicityNot monotonic
2023-12-12T11:11:12.525933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
804.0 3
 
4.1%
480.0 2
 
2.7%
200.0 2
 
2.7%
5024.0 2
 
2.7%
2420.0 1
 
1.4%
10187.0 1
 
1.4%
353.25 1
 
1.4%
7889.0 1
 
1.4%
9997.0 1
 
1.4%
2200.0 1
 
1.4%
Other values (58) 58
79.5%
ValueCountFrequency (%)
74.0 1
1.4%
138.0 1
1.4%
200.0 2
2.7%
244.16 1
1.4%
267.41 1
1.4%
341.0 1
1.4%
353.25 1
1.4%
392.0 1
1.4%
396.8 1
1.4%
432.0 1
1.4%
ValueCountFrequency (%)
29900.0 1
1.4%
17888.0 1
1.4%
16485.0 1
1.4%
15704.0 1
1.4%
13942.0 1
1.4%
13770.0 1
1.4%
11444.0 1
1.4%
10187.0 1
1.4%
9997.0 1
1.4%
9779.0 1
1.4%

시설규모
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4777.3097
Minimum74
Maximum41195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-12T11:11:12.682784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile311.578
Q11122
median2743
Q36985.7
95-th percentile16016.4
Maximum41195
Range41121
Interquartile range (IQR)5863.7

Descriptive statistics

Standard deviation6275.7122
Coefficient of variation (CV)1.3136499
Kurtosis15.206452
Mean4777.3097
Median Absolute Deviation (MAD)1835.92
Skewness3.2768912
Sum348743.61
Variance39384564
MonotonicityNot monotonic
2023-12-12T11:11:12.843764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1122.0 3
 
4.1%
3131.0 2
 
2.7%
7326.0 2
 
2.7%
2791.0 1
 
1.4%
2916.55 1
 
1.4%
6298.0 1
 
1.4%
10187.0 1
 
1.4%
745.64 1
 
1.4%
9829.0 1
 
1.4%
283.0 1
 
1.4%
Other values (59) 59
80.8%
ValueCountFrequency (%)
74.0 1
1.4%
275.6 1
1.4%
282.9 1
1.4%
283.0 1
1.4%
330.63 1
1.4%
397.35 1
1.4%
432.0 1
1.4%
484.4 1
1.4%
490.0 1
1.4%
644.1 1
1.4%
ValueCountFrequency (%)
41195.0 1
1.4%
18186.0 1
1.4%
17888.0 1
1.4%
16485.0 1
1.4%
15704.0 1
1.4%
14970.8 1
1.4%
13740.0 1
1.4%
11444.0 1
1.4%
11008.0 1
1.4%
10187.0 1
1.4%

수산물품목명
Categorical

Distinct11
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
[새우류]
43 
[넙치]
9 
[어류]
7 
[뱀장어류]
 
4
[전복류]
 
3
Other values (6)
7 

Length

Max length29
Median length5
Mean length5.9452055
Min length4

Unique

Unique5 ?
Unique (%)6.8%

Sample

1st row[새우류]
2nd row[새우류]
3rd row[새우류]
4th row[새우류]
5th row[새우류]

Common Values

ValueCountFrequency (%)
[새우류] 43
58.9%
[넙치] 9
 
12.3%
[어류] 7
 
9.6%
[뱀장어류] 4
 
5.5%
[전복류] 3
 
4.1%
[어류][패류][기타 해면갑각류] 2
 
2.7%
[어류][패류][기타 해면갑각류][해삼류] 1
 
1.4%
[민물새우] 1
 
1.4%
[넙치][기타 해면어류] 1
 
1.4%
[어류][기타 해면갑각류][기타 해면연체류][해삼류] 1
 
1.4%

Length

2023-12-12T11:11:13.017862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
새우류 43
54.4%
넙치 9
 
11.4%
어류 7
 
8.9%
뱀장어류 4
 
5.1%
전복류 3
 
3.8%
어류][패류][기타 3
 
3.8%
해면갑각류 2
 
2.5%
해면갑각류][해삼류 1
 
1.3%
민물새우 1
 
1.3%
넙치][기타 1
 
1.3%
Other values (5) 5
 
6.3%

Interactions

2023-12-12T11:11:09.417803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:08.804380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:09.105232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:09.521307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:08.904254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:09.226228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:09.611312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:08.997273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:11:09.314521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:11:13.130312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번성명(상호명)인허가번호시설위치수조면적시설규모수산물품목명
연번1.0000.4551.0001.0000.3750.3990.538
성명(상호명)0.4551.0001.0001.0000.0000.0000.714
인허가번호1.0001.0001.0001.0001.0001.0001.000
시설위치1.0001.0001.0001.0001.0001.0001.000
수조면적0.3750.0001.0001.0001.0000.8890.000
시설규모0.3990.0001.0001.0000.8891.0000.000
수산물품목명0.5380.7141.0001.0000.0000.0001.000
2023-12-12T11:11:13.257548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수산물품목명성명(상호명)
수산물품목명1.0000.293
성명(상호명)0.2931.000
2023-12-12T11:11:13.368966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수조면적시설규모성명(상호명)수산물품목명
연번1.000-0.0560.0150.1380.257
수조면적-0.0561.0000.9440.0000.000
시설규모0.0150.9441.0000.0000.000
성명(상호명)0.1380.0000.0001.0000.293
수산물품목명0.2570.0000.0000.2931.000

Missing values

2023-12-12T11:11:09.719339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:11:09.867356image/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

연번성명(상호명)인허가번호시설위치수조면적시설규모수산물품목명
01신**고흥군 내수양식어업 제2022-00001호전남 고흥군 대서면 화산리 1926번지 외1필지2420.02791.0[새우류]
12김**고흥군 육상축제식해수양식어업 제2022-00003호전남 고흥군 도화면 구암리 1548, 15496988.06988.0[새우류]
23김**고흥군 육상축제식해수양식어업 제2022-00002호전남 고흥군 도화면 구암리 1529, 1530, 1531-17430.07430.0[새우류]
34김**고흥군 육상축제식해수양식어업 제2022-00001호전남 고흥군 도화면 구암리 15312910.02910.0[새우류]
45이**고흥군 육상수조식해수양식어업 제2022-00001호전남 고흥군 도덕면 가야리 3263-51205.01683.0[새우류]
56이**고흥군 육상수조식내수양식업 제2021-00004호고흥군 금산면 신촌리 1096-3외 3필지1404.03131.0[뱀장어류]
67김**고흥군 육상수조식내수양식업 제2021-00003호고흥군 도화면 가화리 915-3792.0792.0[뱀장어류]
78김**고흥군 육상수조식내수양식업 제2021-00002호고흥군 포두면 상대리 365-174.074.0[뱀장어류]
89장**고흥군 육상수조식내수양식업 제2021-00001호고흥군 도양읍 용정리 829-2번지576.01050.0[뱀장어류]
910정**고흥군 육상축제식해수양식어업 제2021-00009호전남 고흥군 도화면 구암리 157-8, 157-216225.06225.0[새우류]
연번성명(상호명)인허가번호시설위치수조면적시설규모수산물품목명
6364김**고흥군 육상수조식해수양식어업 제2018-00008호고흥군 두원면 용반리 1705-9번지1197.51666.4[새우류]
6465김**고흥군 육상수조식해수양식어업 제2018-00006호고흥군 도화면 가화리 996-1480.0744.0[넙치]
6566(주)비알팜고흥군 육상수조식해수양식어업 제2018-00005호고흥군 금산면 어전리 41-3번지 외 6필지1053.02516.55[어류][송어류]
6667송**고흥군 육상축제식해수양식어업 제2018-00004호전남 고흥군 남양면 대곡리 1023-3, 1028-1015704.015704.0[새우류]
6768이**고흥군 육상수조식해수양식어업 제2018-00002호전남 고흥군 도양읍 도양해안로 149850.461178.89[어류]
6869이**고흥군 육상수조식해수양식어업 제2018-00001호전남 고흥군 도화면 땅끝로 586-1212547.03053.94[넙치]
6970류**고흥군 육상수조식해수양식어업 제2017-00008호고흥군 도화면 구암리 756-92436.02773.5[넙치]
7071혜준수산 주식회사고흥군 육상수조식해수양식어업 제2017-00003호고흥군 도양읍 관리 272 등 3필지1986.03651.0[새우류]
7172오**고흥군 육상수조식해수양식어업 제2017-00002호고흥군 도양읍 용정리 2160621.721030.2[넙치]
7273안**고흥군 육상축제식해수양식어업 제2017-00001호전남 고흥군 두원면 용당리 894-44950.06985.7[새우류]