Overview

Dataset statistics

Number of variables8
Number of observations1062
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory68.6 KiB
Average record size in memory66.1 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description경상북도 인공어초 설치현황을 제공해드립니다. 설치현황에는 어초종류, 설치지역, 설치년도, 설치좌표, 설치면적을 제공해 드립니다.
Author경상북도
URLhttps://www.data.go.kr/data/15083017/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
시설년도 is highly overall correlated with 시설면적(ha)High correlation
시설면적(ha) is highly overall correlated with 시설년도High correlation
용도 is highly imbalanced (60.1%)Imbalance

Reproduction

Analysis started2023-12-12 23:18:41.494677
Analysis finished2023-12-12 23:18:42.845317
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
포항시
315 
울진군
298 
영덕군
228 
경주시
192 
울릉군
 
26
Other values (2)
 
3

Length

Max length4
Median length3
Mean length3.0028249
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row경주시
2nd row영덕군
3rd row경주시
4th row영덕군
5th row포항시

Common Values

ValueCountFrequency (%)
포항시 315
29.7%
울진군 298
28.1%
영덕군 228
21.5%
경주시 192
18.1%
울릉군 26
 
2.4%
울릉군 2
 
0.2%
포항시 1
 
0.1%

Length

2023-12-13T08:18:42.906161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:18:43.016602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포항시 316
29.8%
울진군 298
28.1%
영덕군 228
21.5%
경주시 192
18.1%
울릉군 28
 
2.6%

지선명
Text

Distinct187
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T08:18:43.333642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.2627119
Min length5

Characters and Unicode

Total characters7713
Distinct characters112
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)5.7%

Sample

1st row감포읍 오류리
2nd row강구면 금진1리
3rd row감포읍 오류2리
4th row강구면 금진1리
5th row대보면 구만리
ValueCountFrequency (%)
감포읍 118
 
5.5%
기성면 100
 
4.7%
송라면 86
 
4.0%
구룡포읍 82
 
3.8%
청하면 64
 
3.0%
남정면 53
 
2.5%
강구면 50
 
2.3%
후포면 48
 
2.3%
영덕읍 44
 
2.1%
울진읍 42
 
2.0%
Other values (192) 1443
67.7%
2023-12-13T08:18:43.758381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1083
 
14.0%
리 1054
 
13.7%
면 708
 
9.2%
읍 359
 
4.7%
포 324
 
4.2%
구 212
 
2.7%
남 149
 
1.9%
진 147
 
1.9%
기 136
 
1.8%
감 134
 
1.7%
Other values (102) 3407
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6444
83.5%
Space Separator 1083
 
14.0%
Decimal Number 184
 
2.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1054
 
16.4%
면 708
 
11.0%
읍 359
 
5.6%
포 324
 
5.0%
구 212
 
3.3%
남 149
 
2.3%
진 147
 
2.3%
기 136
 
2.1%
감 134
 
2.1%
정 126
 
2.0%
Other values (94) 3095
48.0%
Decimal Number
ValueCountFrequency (%)
1 65
35.3%
2 61
33.2%
3 38
20.7%
4 19
 
10.3%
6 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1083
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6444
83.5%
Common 1269
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1054
 
16.4%
면 708
 
11.0%
읍 359
 
5.6%
포 324
 
5.0%
구 212
 
3.3%
남 149
 
2.3%
진 147
 
2.3%
기 136
 
2.1%
감 134
 
2.1%
정 126
 
2.0%
Other values (94) 3095
48.0%
Common
ValueCountFrequency (%)
1083
85.3%
1 65
 
5.1%
2 61
 
4.8%
3 38
 
3.0%
4 19
 
1.5%
6 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6444
83.5%
ASCII 1269
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1083
85.3%
1 65
 
5.1%
2 61
 
4.8%
3 38
 
3.0%
4 19
 
1.5%
6 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
리 1054
 
16.4%
면 708
 
11.0%
읍 359
 
5.6%
포 324
 
5.0%
구 212
 
3.3%
남 149
 
2.3%
진 147
 
2.3%
기 136
 
2.1%
감 134
 
2.1%
정 126
 
2.0%
Other values (94) 3095
48.0%

시설년도
Real number (ℝ)

HIGH CORRELATION 

Distinct49
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000.1601
Minimum1971
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-13T08:18:43.887843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1971
5-th percentile1986
Q11995
median1998
Q32005
95-th percentile2018
Maximum2021
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.0499081
Coefficient of variation (CV)0.0045245919
Kurtosis0.48470005
Mean2000.1601
Median Absolute Deviation (MAD)4
Skewness0.25702717
Sum2124170
Variance81.900836
MonotonicityIncreasing
2023-12-13T08:18:44.019594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1996 78
 
7.3%
1995 77
 
7.3%
1994 76
 
7.2%
1997 76
 
7.2%
1998 69
 
6.5%
1993 66
 
6.2%
2000 60
 
5.6%
1999 59
 
5.6%
2002 39
 
3.7%
2003 34
 
3.2%
Other values (39) 428
40.3%
ValueCountFrequency (%)
1971 4
0.4%
1972 2
 
0.2%
1973 3
0.3%
1976 2
 
0.2%
1977 2
 
0.2%
1978 1
 
0.1%
1979 1
 
0.1%
1980 2
 
0.2%
1981 2
 
0.2%
1982 5
0.5%
ValueCountFrequency (%)
2021 15
1.4%
2020 14
1.3%
2019 15
1.4%
2018 14
1.3%
2017 15
1.4%
2016 16
1.5%
2015 16
1.5%
2014 15
1.4%
2013 16
1.5%
2012 15
1.4%

어초종류
Text

Distinct53
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T08:18:44.192185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.680791
Min length2

Characters and Unicode

Total characters3909
Distinct characters91
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)1.4%

Sample

1st row고선
2nd row고선
3rd row소형
4th row소형
5th row소형
ValueCountFrequency (%)
사각형 712
67.0%
뿔삼각형 37
 
3.5%
반구형 30
 
2.8%
상자형강재 25
 
2.4%
날개부를가진어초 20
 
1.9%
팔각반구형중형강재 19
 
1.8%
세라믹형 17
 
1.6%
소형 15
 
1.4%
십자형해중림초 14
 
1.3%
십자형해중림초해중림초 13
 
1.2%
Other values (43) 160
 
15.1%
2023-12-13T08:18:44.477611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
형 1022
26.1%
각 804
20.6%
사 733
18.8%
중 75
 
1.9%
초 70
 
1.8%
자 65
 
1.7%
재 63
 
1.6%
반 62
 
1.6%
강 62
 
1.6%
구 61
 
1.6%
Other values (81) 892
22.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3886
99.4%
Uppercase Letter 11
 
0.3%
Decimal Number 6
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
형 1022
26.3%
각 804
20.7%
사 733
18.9%
중 75
 
1.9%
초 70
 
1.8%
자 65
 
1.7%
재 63
 
1.6%
반 62
 
1.6%
강 62
 
1.6%
구 61
 
1.6%
Other values (76) 869
22.4%
Uppercase Letter
ValueCountFrequency (%)
A 10
90.9%
T 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3886
99.4%
Common 12
 
0.3%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
형 1022
26.3%
각 804
20.7%
사 733
18.9%
중 75
 
1.9%
초 70
 
1.8%
자 65
 
1.7%
재 63
 
1.6%
반 62
 
1.6%
강 62
 
1.6%
구 61
 
1.6%
Other values (76) 869
22.4%
Common
ValueCountFrequency (%)
2 6
50.0%
( 3
25.0%
) 3
25.0%
Latin
ValueCountFrequency (%)
A 10
90.9%
T 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3886
99.4%
ASCII 23
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
형 1022
26.3%
각 804
20.7%
사 733
18.9%
중 75
 
1.9%
초 70
 
1.8%
자 65
 
1.7%
재 63
 
1.6%
반 62
 
1.6%
강 62
 
1.6%
구 61
 
1.6%
Other values (76) 869
22.4%
ASCII
ValueCountFrequency (%)
A 10
43.5%
2 6
26.1%
( 3
 
13.0%
) 3
 
13.0%
T 1
 
4.3%

용도
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
어류
849 
패조류
140 
해중림
 
35
어패류
 
17
<NA>
 
13

Length

Max length6
Median length2
Mean length2.2354049
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어류
2nd row어류
3rd row패조류
4th row패조류
5th row패조류

Common Values

ValueCountFrequency (%)
어류 849
79.9%
패조류 140
 
13.2%
해중림 35
 
3.3%
어패류 17
 
1.6%
<NA> 13
 
1.2%
어류/패조류 8
 
0.8%

Length

2023-12-13T08:18:44.606058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:18:44.699311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어류 849
79.9%
패조류 140
 
13.2%
해중림 35
 
3.3%
어패류 17
 
1.6%
na 13
 
1.2%
어류/패조류 8
 
0.8%

시설면적(ha)
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.747646
Minimum2
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.5 KiB
2023-12-13T08:18:44.799426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q116
median16
Q316
95-th percentile95.7
Maximum403
Range401
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.479097
Coefficient of variation (CV)1.6476033
Kurtosis26.602349
Mean22.747646
Median Absolute Deviation (MAD)0
Skewness4.7472272
Sum24158
Variance1404.6827
MonotonicityNot monotonic
2023-12-13T08:18:44.912323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 688
64.8%
4 127
 
12.0%
2 65
 
6.1%
8 31
 
2.9%
32 11
 
1.0%
64 9
 
0.8%
80 8
 
0.8%
10 8
 
0.8%
128 7
 
0.7%
96 7
 
0.7%
Other values (48) 101
 
9.5%
ValueCountFrequency (%)
2 65
6.1%
4 127
12.0%
8 31
 
2.9%
9 3
 
0.3%
10 8
 
0.8%
11 4
 
0.4%
12 3
 
0.3%
13 6
 
0.6%
14 2
 
0.2%
15 1
 
0.1%
ValueCountFrequency (%)
403 1
 
0.1%
288 1
 
0.1%
267 1
 
0.1%
256 4
0.4%
240 1
 
0.1%
227 1
 
0.1%
214 1
 
0.1%
208 2
0.2%
205 1
 
0.1%
203 1
 
0.1%

경도(E)
Text

Distinct889
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T08:18:45.128961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.647834
Min length10

Characters and Unicode

Total characters11308
Distinct characters15
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

Unique779 ?
Unique (%)73.4%

Sample

1st row129도01.29분
2nd row129도25.07분
3rd row129도30.85분
4th row129도25.27분
5th row129도34.15분
ValueCountFrequency (%)
129도26.00분 8
 
0.8%
129도23.26분 7
 
0.7%
129도24.17분 7
 
0.7%
129도25.55분 6
 
0.6%
129도24.24분 6
 
0.6%
129도26.667분 6
 
0.6%
129도24.00분 6
 
0.6%
129도26.28분 5
 
0.5%
129도30.08분 5
 
0.5%
129도30.24분 5
 
0.5%
Other values (879) 1001
94.3%
2023-12-13T08:18:45.463863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2110
18.7%
1 1399
12.4%
9 1369
12.1%
도 1062
9.4%
. 1062
9.4%
분 1062
9.4%
3 745
 
6.6%
6 467
 
4.1%
0 446
 
3.9%
4 443
 
3.9%
Other values (5) 1143
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8073
71.4%
Other Letter 2127
 
18.8%
Other Punctuation 1062
 
9.4%
Space Separator 46
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2110
26.1%
1 1399
17.3%
9 1369
17.0%
3 745
 
9.2%
6 467
 
5.8%
0 446
 
5.5%
4 443
 
5.5%
5 435
 
5.4%
7 332
 
4.1%
8 327
 
4.1%
Other Letter
ValueCountFrequency (%)
도 1062
49.9%
분 1062
49.9%
초 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1062
100.0%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9181
81.2%
Hangul 2127
 
18.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2110
23.0%
1 1399
15.2%
9 1369
14.9%
. 1062
11.6%
3 745
 
8.1%
6 467
 
5.1%
0 446
 
4.9%
4 443
 
4.8%
5 435
 
4.7%
7 332
 
3.6%
Other values (2) 373
 
4.1%
Hangul
ValueCountFrequency (%)
도 1062
49.9%
분 1062
49.9%
초 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9181
81.2%
Hangul 2127
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2110
23.0%
1 1399
15.2%
9 1369
14.9%
. 1062
11.6%
3 745
 
8.1%
6 467
 
5.1%
0 446
 
4.9%
4 443
 
4.8%
5 435
 
4.7%
7 332
 
3.6%
Other values (2) 373
 
4.1%
Hangul
ValueCountFrequency (%)
도 1062
49.9%
분 1062
49.9%
초 3
 
0.1%

위도(N)
Text

Distinct995
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T08:18:45.698448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.6016949
Min length9

Characters and Unicode

Total characters10197
Distinct characters15
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

Unique943 ?
Unique (%)88.8%

Sample

1st row35도48.67분
2nd row36도22.04분
3rd row35도46.33분
4th row36도22.22분
5th row36도44.81분
ValueCountFrequency (%)
36도16.19분 5
 
0.5%
36도16.58분 4
 
0.4%
36도15.19분 4
 
0.4%
36도16.45분 4
 
0.4%
36도16.32분 4
 
0.4%
36도44.02분 3
 
0.3%
35도44.06분 3
 
0.3%
36도12.90분 3
 
0.3%
36도12.68분 3
 
0.3%
35도58.108분 2
 
0.2%
Other values (985) 1027
96.7%
2023-12-13T08:18:46.060451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1573
15.4%
도 1062
10.4%
분 1062
10.4%
. 1061
10.4%
6 1057
10.4%
5 820
8.0%
4 679
6.7%
0 650
6.4%
1 585
 
5.7%
2 465
 
4.6%
Other values (5) 1183
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7008
68.7%
Other Letter 2127
 
20.9%
Other Punctuation 1062
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1573
22.4%
6 1057
15.1%
5 820
11.7%
4 679
9.7%
0 650
9.3%
1 585
 
8.3%
2 465
 
6.6%
7 437
 
6.2%
9 372
 
5.3%
8 370
 
5.3%
Other Letter
ValueCountFrequency (%)
도 1062
49.9%
분 1062
49.9%
초 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1061
99.9%
' 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 8070
79.1%
Hangul 2127
 
20.9%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1573
19.5%
. 1061
13.1%
6 1057
13.1%
5 820
10.2%
4 679
8.4%
0 650
8.1%
1 585
 
7.2%
2 465
 
5.8%
7 437
 
5.4%
9 372
 
4.6%
Other values (2) 371
 
4.6%
Hangul
ValueCountFrequency (%)
도 1062
49.9%
분 1062
49.9%
초 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8070
79.1%
Hangul 2127
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1573
19.5%
. 1061
13.1%
6 1057
13.1%
5 820
10.2%
4 679
8.4%
0 650
8.1%
1 585
 
7.2%
2 465
 
5.8%
7 437
 
5.4%
9 372
 
4.6%
Other values (2) 371
 
4.6%
Hangul
ValueCountFrequency (%)
도 1062
49.9%
분 1062
49.9%
초 3
 
0.1%

Interactions

2023-12-13T08:18:42.083820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:18:41.906362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:18:42.178315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:18:41.990783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:18:46.146425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군시설년도어초종류용도시설면적(ha)
시군1.0000.0780.6130.2780.000
시설년도0.0781.0000.9010.7270.616
어초종류0.6130.9011.0000.9980.000
용도0.2780.7270.9981.0000.000
시설면적(ha)0.0000.6160.0000.0001.000
2023-12-13T08:18:46.237015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군용도
시군1.0000.181
용도0.1811.000
2023-12-13T08:18:46.313388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설년도시설면적(ha)시군용도
시설년도1.000-0.6890.0440.384
시설면적(ha)-0.6891.0000.0000.000
시군0.0440.0001.0000.181
용도0.3840.0000.1811.000

Missing values

2023-12-13T08:18:42.603691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:18:42.776188image/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

시군지선명시설년도어초종류용도시설면적(ha)경도(E)위도(N)
0경주시감포읍 오류리1971고선어류12129도01.29분35도48.67분
1영덕군강구면 금진1리1971고선어류14129도25.07분36도22.04분
2경주시감포읍 오류2리1971소형패조류8129도30.85분35도46.33분
3영덕군강구면 금진1리1971소형패조류9129도25.27분36도22.22분
4포항시대보면 구만리1972소형패조류27129도34.15분36도44.81분
5경주시감포읍 가곡리1972소형패조류16129도30.13분35도44.81분
6포항시송라면 지경리1973소형패조류40129도23.98분36도16.19분
7영덕군강구면 삼사리1973소형패조류40129도27.03분36도28.48분
8울진군평해읍 직산리1973소형패조류40129도29.40분36도41.70분
9영덕군영덕읍 노물리1976소형패조류56129도26.65분36도26.98분
시군지선명시설년도어초종류용도시설면적(ha)경도(E)위도(N)
1052포항시송라면 조사리2021사다리꼴요철형패조류2129도23.553분36도13.234분
1053포항시흥해읍 오도리2021테트라형패조류2129도24.353분36도09.102분
1054포항시구룡포읍 석병2리2021방사형패조류2129도34.840분36도1.509분
1055포항시장기면 영암1리2021사단경사형패조류2129도31.919분35도54.333분
1056영덕군강구면 금진2리2021날개부를가진어초패조류2129도23.803분36도22.076분
1057영덕군영해면 사진1리2021날개부를가진어초어류8129도26.640분36도32.342분
1058울진군죽변면 죽변리2021테트라형패조류2129도25.845분36도03.291분
1059울진군기성면 봉산1리2021방사형패조류2129도28.198분36도46.992분
1060울진군기성면 기성리2021사다리꼴요철형패조류2129도27.898분36도47.819분
1061경주시감포읍 나정1리2021테트라형패조류2129도29.922분38도46.846분

Duplicate rows

Most frequently occurring

시군지선명시설년도어초종류용도시설면적(ha)경도(E)위도(N)# duplicates
0포항시청하면 청진1리2007상자형강재어류16129도24.556분36도11.010분2