Overview

Dataset statistics

Number of variables6
Number of observations4223
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory206.3 KiB
Average record size in memory50.0 B

Variable types

Numeric2
Text3
Categorical1

Dataset

Description공공데이터 중장기 개방계획에 따라 공개하는 경상남도 하천관리 시스템의 데이터 입니다. 하천관리시스템의 부도도곽 정보를 포함하고있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093564

Alerts

구분코드 has constant value ""Constant
공간아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:29:24.135131
Analysis finished2023-12-11 00:29:25.246042
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간아이디
Real number (ℝ)

UNIQUE 

Distinct4223
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2112
Minimum1
Maximum4223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2023-12-11T09:29:25.340511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile212.1
Q11056.5
median2112
Q33167.5
95-th percentile4011.9
Maximum4223
Range4222
Interquartile range (IQR)2111

Descriptive statistics

Standard deviation1219.2194
Coefficient of variation (CV)0.57728192
Kurtosis-1.2
Mean2112
Median Absolute Deviation (MAD)1056
Skewness0
Sum8918976
Variance1486496
MonotonicityNot monotonic
2023-12-11T09:29:25.512957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2822 1
 
< 0.1%
2808 1
 
< 0.1%
2809 1
 
< 0.1%
2810 1
 
< 0.1%
2811 1
 
< 0.1%
2812 1
 
< 0.1%
2813 1
 
< 0.1%
2814 1
 
< 0.1%
2815 1
 
< 0.1%
Other values (4213) 4213
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4223 1
< 0.1%
4222 1
< 0.1%
4221 1
< 0.1%
4220 1
< 0.1%
4219 1
< 0.1%
4218 1
< 0.1%
4217 1
< 0.1%
4216 1
< 0.1%
4215 1
< 0.1%
4214 1
< 0.1%

하천관리코드
Text

Distinct677
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2023-12-11T09:29:25.750925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters80237
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.5%

Sample

1st row20129502012F02Q0101
2nd row20129502012F02Q0101
3rd row20129502012F02Q0101
4th row20129502012F02Q0101
5th row20129502012F02Q0101
ValueCountFrequency (%)
20268002012f02q0101 44
 
1.0%
20249602010f02q0101 33
 
0.8%
20231502004f02q0101 29
 
0.7%
20257502020f02q0101 29
 
0.7%
20228802004f01q0101 28
 
0.7%
20142102012f02q0101 27
 
0.6%
20227802010f01q0101 26
 
0.6%
20267802002f01q0101 26
 
0.6%
20260202013f02q0101 25
 
0.6%
20250302004f02q0101 25
 
0.6%
Other values (667) 3931
93.1%
2023-12-11T09:29:26.098071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27456
34.2%
2 15364
19.1%
1 15122
18.8%
F 4223
 
5.3%
Q 4223
 
5.3%
9 2510
 
3.1%
7 2262
 
2.8%
4 2081
 
2.6%
6 1990
 
2.5%
3 1846
 
2.3%
Other values (2) 3160
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71791
89.5%
Uppercase Letter 8446
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27456
38.2%
2 15364
21.4%
1 15122
21.1%
9 2510
 
3.5%
7 2262
 
3.2%
4 2081
 
2.9%
6 1990
 
2.8%
3 1846
 
2.6%
5 1822
 
2.5%
8 1338
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
F 4223
50.0%
Q 4223
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71791
89.5%
Latin 8446
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27456
38.2%
2 15364
21.4%
1 15122
21.1%
9 2510
 
3.5%
7 2262
 
3.2%
4 2081
 
2.9%
6 1990
 
2.8%
3 1846
 
2.6%
5 1822
 
2.5%
8 1338
 
1.9%
Latin
ValueCountFrequency (%)
F 4223
50.0%
Q 4223
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27456
34.2%
2 15364
19.1%
1 15122
18.8%
F 4223
 
5.3%
Q 4223
 
5.3%
9 2510
 
3.1%
7 2262
 
2.8%
4 2081
 
2.6%
6 1990
 
2.5%
3 1846
 
2.3%
Other values (2) 3160
 
3.9%

구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
I02
4223 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI02
2nd rowI02
3rd rowI02
4th rowI02
5th rowI02

Common Values

ValueCountFrequency (%)
I02 4223
100.0%

Length

2023-12-11T09:29:26.232862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:29:26.328775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i02 4223
100.0%

일련번호
Real number (ℝ)

Distinct44
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3341227
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.2 KiB
2023-12-11T09:29:26.433376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile15
Maximum44
Range43
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.0607291
Coefficient of variation (CV)0.94874629
Kurtosis9.2454207
Mean5.3341227
Median Absolute Deviation (MAD)2
Skewness2.555997
Sum22526
Variance25.610979
MonotonicityNot monotonic
2023-12-11T09:29:26.575173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 676
16.0%
2 653
15.5%
3 590
14.0%
4 497
11.8%
5 408
9.7%
6 306
7.2%
7 235
 
5.6%
8 168
 
4.0%
9 124
 
2.9%
10 98
 
2.3%
Other values (34) 468
11.1%
ValueCountFrequency (%)
1 676
16.0%
2 653
15.5%
3 590
14.0%
4 497
11.8%
5 408
9.7%
6 306
7.2%
7 235
 
5.6%
8 168
 
4.0%
9 124
 
2.9%
10 98
 
2.3%
ValueCountFrequency (%)
44 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
41 1
< 0.1%
40 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%
37 1
< 0.1%
36 1
< 0.1%
35 1
< 0.1%

도엽번호
Text

Distinct2525
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2023-12-11T09:29:26.964570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.056358
Min length1

Characters and Unicode

Total characters12907
Distinct characters119
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1834 ?
Unique (%)43.4%

Sample

1st row1
2nd row10
3rd row11
4th row2
5th row3
ValueCountFrequency (%)
1 73
 
1.7%
2 73
 
1.7%
3 69
 
1.6%
4 64
 
1.5%
5 53
 
1.3%
6 51
 
1.2%
7 40
 
0.9%
8 30
 
0.7%
9 19
 
0.4%
10 16
 
0.4%
Other values (2510) 3743
88.5%
2023-12-11T09:29:27.629649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1210
 
9.4%
G 925
 
7.2%
0 924
 
7.2%
S 866
 
6.7%
2 805
 
6.2%
3 661
 
5.1%
4 557
 
4.3%
D 535
 
4.1%
C 514
 
4.0%
Y 506
 
3.9%
Other values (109) 5404
41.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6153
47.7%
Decimal Number 5626
43.6%
Other Letter 1093
 
8.5%
Close Punctuation 9
 
0.1%
Open Punctuation 9
 
0.1%
Dash Punctuation 9
 
0.1%
Space Separator 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 109
 
10.0%
대 80
 
7.3%
곡 79
 
7.2%
산 35
 
3.2%
신 33
 
3.0%
가 30
 
2.7%
유 26
 
2.4%
해 25
 
2.3%
도 24
 
2.2%
청 24
 
2.2%
Other values (74) 628
57.5%
Uppercase Letter
ValueCountFrequency (%)
G 925
15.0%
S 866
14.1%
D 535
8.7%
C 514
8.4%
Y 506
8.2%
H 496
8.1%
J 484
7.9%
B 269
 
4.4%
M 227
 
3.7%
A 216
 
3.5%
Other values (11) 1115
18.1%
Decimal Number
ValueCountFrequency (%)
1 1210
21.5%
0 924
16.4%
2 805
14.3%
3 661
11.7%
4 557
9.9%
5 457
 
8.1%
6 355
 
6.3%
7 281
 
5.0%
8 215
 
3.8%
9 161
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6153
47.7%
Common 5661
43.9%
Hangul 1093
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 109
 
10.0%
대 80
 
7.3%
곡 79
 
7.2%
산 35
 
3.2%
신 33
 
3.0%
가 30
 
2.7%
유 26
 
2.4%
해 25
 
2.3%
도 24
 
2.2%
청 24
 
2.2%
Other values (74) 628
57.5%
Latin
ValueCountFrequency (%)
G 925
15.0%
S 866
14.1%
D 535
8.7%
C 514
8.4%
Y 506
8.2%
H 496
8.1%
J 484
7.9%
B 269
 
4.4%
M 227
 
3.7%
A 216
 
3.5%
Other values (11) 1115
18.1%
Common
ValueCountFrequency (%)
1 1210
21.4%
0 924
16.3%
2 805
14.2%
3 661
11.7%
4 557
9.8%
5 457
 
8.1%
6 355
 
6.3%
7 281
 
5.0%
8 215
 
3.8%
9 161
 
2.8%
Other values (4) 35
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11814
91.5%
Hangul 1093
 
8.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1210
 
10.2%
G 925
 
7.8%
0 924
 
7.8%
S 866
 
7.3%
2 805
 
6.8%
3 661
 
5.6%
4 557
 
4.7%
D 535
 
4.5%
C 514
 
4.4%
Y 506
 
4.3%
Other values (25) 4311
36.5%
Hangul
ValueCountFrequency (%)
천 109
 
10.0%
대 80
 
7.3%
곡 79
 
7.2%
산 35
 
3.2%
신 33
 
3.0%
가 30
 
2.7%
유 26
 
2.4%
해 25
 
2.3%
도 24
 
2.2%
청 24
 
2.2%
Other values (74) 628
57.5%

공간정보
Text

Distinct4204
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size33.1 KiB
2023-12-11T09:29:27.909606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length405
Median length327
Mean length223.23561
Min length200

Characters and Unicode

Total characters942724
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4185 ?
Unique (%)99.1%

Sample

1st rowMULTIPOLYGON (((1038112.1378222099 1744154.6089833695, 1038811.6979969828 1744165.3240822218, 1038819.341380477 1743665.6224488923, 1038119.7809732994 1743654.9084969054, 1038112.1378222099 1744154.6089833695)))
2nd rowMULTIPOLYGON (((1033911.7500917236 1744289.9937847962, 1034611.3068579523 1744300.7019838896, 1034618.9474924094 1743801.0143984607, 1033919.3907494582 1743790.3073449528, 1033911.7500917236 1744289.9937847962)))
3rd rowMULTIPOLYGON (((1033719.5178793607 1743787.2482529625, 1034419.074010553 1743797.9553165645, 1034426.7136510017 1743298.2681491126, 1033727.1575430771 1743287.5622310743, 1033719.5178793607 1743787.2482529625)))
4th rowMULTIPOLYGON (((1038119.7809732994 1743654.9084969054, 1038819.341380477 1743665.6224488923, 1038826.9837629593 1743165.9208332642, 1038127.423635131 1743155.208025515, 1038119.7809732994 1743654.9084969054)))
5th rowMULTIPOLYGON (((1037420.2295640917 1743644.1591624604, 1038119.7809732994 1743654.9084969054, 1038127.423635131 1743155.208025515, 1037427.8712375986 1743144.4621447225, 1037420.2295640917 1743644.1591624604)))
ValueCountFrequency (%)
multipolygon 4223
 
8.5%
1084624.9537772334 7
 
< 0.1%
1663184.9851904898 7
 
< 0.1%
1712772.9439345784 6
 
< 0.1%
1713122.268037406 6
 
< 0.1%
1714072.4423835017 6
 
< 0.1%
1151118.1984342628 6
 
< 0.1%
1042628.2239083999 6
 
< 0.1%
1705699.7371718285 6
 
< 0.1%
1700449.416628159 6
 
< 0.1%
Other values (28896) 45176
91.3%
2023-12-11T09:29:28.362903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 115870
12.3%
7 82362
8.7%
0 79257
8.4%
6 75077
8.0%
2 70589
 
7.5%
3 68435
 
7.3%
5 67421
 
7.2%
8 67079
 
7.1%
4 66649
 
7.1%
9 65114
 
6.9%
Other values (15) 184871
19.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 757853
80.4%
Other Punctuation 63625
 
6.7%
Uppercase Letter 50676
 
5.4%
Space Separator 45232
 
4.8%
Close Punctuation 12669
 
1.3%
Open Punctuation 12669
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 115870
15.3%
7 82362
10.9%
0 79257
10.5%
6 75077
9.9%
2 70589
9.3%
3 68435
9.0%
5 67421
8.9%
8 67079
8.9%
4 66649
8.8%
9 65114
8.6%
Uppercase Letter
ValueCountFrequency (%)
O 8446
16.7%
L 8446
16.7%
U 4223
8.3%
N 4223
8.3%
G 4223
8.3%
Y 4223
8.3%
P 4223
8.3%
I 4223
8.3%
T 4223
8.3%
M 4223
8.3%
Other Punctuation
ValueCountFrequency (%)
. 45232
71.1%
, 18393
28.9%
Space Separator
ValueCountFrequency (%)
45232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12669
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12669
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 892048
94.6%
Latin 50676
 
5.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 115870
13.0%
7 82362
9.2%
0 79257
8.9%
6 75077
8.4%
2 70589
7.9%
3 68435
7.7%
5 67421
7.6%
8 67079
7.5%
4 66649
7.5%
9 65114
7.3%
Other values (5) 134195
15.0%
Latin
ValueCountFrequency (%)
O 8446
16.7%
L 8446
16.7%
U 4223
8.3%
N 4223
8.3%
G 4223
8.3%
Y 4223
8.3%
P 4223
8.3%
I 4223
8.3%
T 4223
8.3%
M 4223
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 942724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 115870
12.3%
7 82362
8.7%
0 79257
8.4%
6 75077
8.0%
2 70589
 
7.5%
3 68435
 
7.3%
5 67421
 
7.2%
8 67079
 
7.1%
4 66649
 
7.1%
9 65114
 
6.9%
Other values (15) 184871
19.6%

Interactions

2023-12-11T09:29:24.775017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:29:24.601248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:29:24.886279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:29:24.690119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:29:28.499608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디일련번호
공간아이디1.0000.266
일련번호0.2661.000
2023-12-11T09:29:28.586848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디일련번호
공간아이디1.000-0.061
일련번호-0.0611.000

Missing values

2023-12-11T09:29:25.036246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:29:25.174991image/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

공간아이디하천관리코드구분코드일련번호도엽번호공간정보
0120129502012F02Q0101I0211MULTIPOLYGON (((1038112.1378222099 1744154.6089833695, 1038811.6979969828 1744165.3240822218, 1038819.341380477 1743665.6224488923, 1038119.7809732994 1743654.9084969054, 1038112.1378222099 1744154.6089833695)))
1220129502012F02Q0101I02210MULTIPOLYGON (((1033911.7500917236 1744289.9937847962, 1034611.3068579523 1744300.7019838896, 1034618.9474924094 1743801.0143984607, 1033919.3907494582 1743790.3073449528, 1033911.7500917236 1744289.9937847962)))
2320129502012F02Q0101I02311MULTIPOLYGON (((1033719.5178793607 1743787.2482529625, 1034419.074010553 1743797.9553165645, 1034426.7136510017 1743298.2681491126, 1033727.1575430771 1743287.5622310743, 1033719.5178793607 1743787.2482529625)))
3420129502012F02Q0101I0242MULTIPOLYGON (((1038119.7809732994 1743654.9084969054, 1038819.341380477 1743665.6224488923, 1038826.9837629593 1743165.9208332642, 1038127.423635131 1743155.208025515, 1038119.7809732994 1743654.9084969054)))
4520129502012F02Q0101I0253MULTIPOLYGON (((1037420.2295640917 1743644.1591624604, 1038119.7809732994 1743654.9084969054, 1038127.423635131 1743155.208025515, 1037427.8712375986 1743144.4621447225, 1037420.2295640917 1743644.1591624604)))
5620129502012F02Q0101I0264MULTIPOLYGON (((1036723.7276871202 1743433.5683366174, 1037423.2863528338 1743444.2801997205, 1037430.9371460676 1742944.543222712, 1036731.3767321641 1742933.8363523933, 1036723.7276871202 1743433.5683366174)))
6720129502012F02Q0101I0275MULTIPOLYGON (((1036025.7012231201 1743322.8877502119, 1036725.2559753265 1743333.6291624396, 1036732.90507475 1742833.8969245616, 1036033.3478210318 1742823.1633236827, 1036025.7012231201 1743322.8877502119)))
7820129502012F02Q0101I0286MULTIPOLYGON (((1035326.1435306817 1743312.1785697886, 1036025.7012231201 1743322.8877502119, 1036033.3478210318 1742823.1633236827, 1035333.7886375161 1742812.4593906295, 1035326.1435306817 1743312.1785697886)))
8920129502012F02Q0101I0297MULTIPOLYGON (((1035318.5029088648 1743811.8695913255, 1036018.0603674639 1743822.5796627342, 1036025.7012231201 1743322.8877502119, 1035326.1435306817 1743312.1785697886, 1035318.5029088648 1743811.8695913255)))
91020129502012F02Q0101I02108MULTIPOLYGON (((1034618.9455394439 1743801.1333947359, 1035318.5029088648 1743811.8695913255, 1035326.1435306817 1743312.1785697886, 1034626.5854286777 1743301.4458255663, 1034618.9455394439 1743801.1333947359)))
공간아이디하천관리코드구분코드일련번호도엽번호공간정보
4213421420257502020F02Q0101I0215대곡천15MULTIPOLYGON (((1060154.7836544674 1697599.1430315962, 1060754.4594649626 1697608.2099025515, 1060760.5037855967 1697208.4256198274, 1060160.8279575203 1697199.3595552729, 1060154.7836544674 1697599.1430315962)))
4214421520257502020F02Q0101I0214대곡천14MULTIPOLYGON (((1060360.7197658084 1697202.3815738608, 1060960.3959970938 1697211.447647211, 1060966.4397859897 1696811.6630839335, 1060366.763537101 1696802.5978170217, 1060360.7197658084 1697202.3815738608)))
4215421620257502020F02Q0101I0213대곡천13MULTIPOLYGON (((1060466.7094945745 1696804.108693007, 1061066.3859450805 1696813.173964321, 1061072.429199276 1696413.3892548787, 1060472.7527311626 1696404.324790039, 1060466.7094945745 1696804.108693007)))
4216421726210002020F01Q0101I021YR1MULTIPOLYGON (((1145923.633178808 1702504.4448697688, 1146523.4786654145 1702513.5323833474, 1146529.5367512263 1702113.6350001602, 1145929.691237036 1702104.5482943654, 1145923.633178808 1702504.4448697688)))
4217421826210002020F01Q0101I022YR2MULTIPOLYGON (((1145320.7596865438 1702695.3052744577, 1145920.6039477494 1702704.3931505834, 1145926.6622752373 1702304.4965843637, 1145326.8179865065 1702295.4095160093, 1145320.7596865438 1702695.3052744577)))
4218421926210002020F01Q0101I023YR3MULTIPOLYGON (((1144717.887298766 1702886.1649080717, 1145317.7303346286 1702895.2531468074, 1145323.7889038424 1702495.3573975253, 1144723.9458405084 1702486.2699665327, 1144717.887298766 1702886.1649080717)))
4219422026210002020F01Q0101I024YR4MULTIPOLYGON (((1144119.560153553 1702777.1031787656, 1144719.4019846867 1702786.1911744028, 1144725.460391807 1702386.2962282877, 1144125.6185332558 1702377.209040407, 1144119.560153553 1702777.1031787656)))
4220422120238002020F01Q0101I021토곡천1MULTIPOLYGON (((1068751.739154975 1717423.5478611374, 1068152.0475157779 1717414.4409468062, 1068145.9759805421 1717814.2349645263, 1068745.6676013716 1717823.342683435, 1068751.739154975 1717423.5478611374)))
4221422220238002020F01Q0101I022토곡천2MULTIPOLYGON (((1068155.0830822499 1717214.543933362, 1067555.3926407932 1717205.437448841, 1067549.321392062 1717605.2306680775, 1068149.011815209 1717614.337957194, 1068155.0830822499 1717214.543933362)))
4222422320238002020F01Q0101I023토곡천3MULTIPOLYGON (((1067558.4280640045 1717005.5408346518, 1066958.738820342 1716996.4347798661, 1066952.667858067 1717396.2272005838, 1067552.357083477 1717405.3340599835, 1067558.4280640045 1717005.5408346518)))