Overview

Dataset statistics

Number of variables6
Number of observations3343
Missing cells251
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory163.4 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 폐천부지 정보를 포함하고있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093505

Alerts

구분코드 is highly imbalanced (52.1%)Imbalance
폐천부지명 has 251 (7.5%) missing valuesMissing
공간아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:25:58.500974
Analysis finished2023-12-11 00:25:59.736814
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간아이디
Real number (ℝ)

UNIQUE 

Distinct3343
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1672
Minimum1
Maximum3343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2023-12-11T09:25:59.819795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile168.1
Q1836.5
median1672
Q32507.5
95-th percentile3175.9
Maximum3343
Range3342
Interquartile range (IQR)1671

Descriptive statistics

Standard deviation965.1853
Coefficient of variation (CV)0.57726394
Kurtosis-1.2
Mean1672
Median Absolute Deviation (MAD)836
Skewness0
Sum5589496
Variance931582.67
MonotonicityNot monotonic
2023-12-11T09:26:00.001076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2193 1
 
< 0.1%
2220 1
 
< 0.1%
2221 1
 
< 0.1%
2222 1
 
< 0.1%
2223 1
 
< 0.1%
2224 1
 
< 0.1%
2225 1
 
< 0.1%
2226 1
 
< 0.1%
2227 1
 
< 0.1%
Other values (3333) 3333
99.7%
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 (%)
3343 1
< 0.1%
3342 1
< 0.1%
3341 1
< 0.1%
3340 1
< 0.1%
3339 1
< 0.1%
3338 1
< 0.1%
3337 1
< 0.1%
3336 1
< 0.1%
3335 1
< 0.1%
3334 1
< 0.1%
Distinct249
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-11T09:26:00.298826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters63517
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

Unique36 ?
Unique (%)1.1%

Sample

1st row20235002019F02Q0101
2nd row20235002019F02Q0101
3rd row20233702019F02Q0101
4th row20235902019F02Q0101
5th row20142102012F02Q0101
ValueCountFrequency (%)
20255602014f02q0101 247
 
7.4%
20228802004f01q0101 127
 
3.8%
20231501993f01q0101 107
 
3.2%
20250302004f02q0101 95
 
2.8%
20272002012f02q0101 83
 
2.5%
20261102010f02q0101 76
 
2.3%
20261102014f02q0101 68
 
2.0%
20262202005f01q0101 57
 
1.7%
27203402001f01q0101 47
 
1.4%
20276102013f02q0101 47
 
1.4%
Other values (239) 2389
71.5%
2023-12-11T09:26:00.666810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21642
34.1%
2 12461
19.6%
1 11717
18.4%
F 3343
 
5.3%
Q 3343
 
5.3%
9 1828
 
2.9%
5 1805
 
2.8%
4 1656
 
2.6%
6 1652
 
2.6%
7 1633
 
2.6%
Other values (2) 2437
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56831
89.5%
Uppercase Letter 6686
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21642
38.1%
2 12461
21.9%
1 11717
20.6%
9 1828
 
3.2%
5 1805
 
3.2%
4 1656
 
2.9%
6 1652
 
2.9%
7 1633
 
2.9%
3 1577
 
2.8%
8 860
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
F 3343
50.0%
Q 3343
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56831
89.5%
Latin 6686
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21642
38.1%
2 12461
21.9%
1 11717
20.6%
9 1828
 
3.2%
5 1805
 
3.2%
4 1656
 
2.9%
6 1652
 
2.9%
7 1633
 
2.9%
3 1577
 
2.8%
8 860
 
1.5%
Latin
ValueCountFrequency (%)
F 3343
50.0%
Q 3343
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21642
34.1%
2 12461
19.6%
1 11717
18.4%
F 3343
 
5.3%
Q 3343
 
5.3%
9 1828
 
2.9%
5 1805
 
2.8%
4 1656
 
2.6%
6 1652
 
2.6%
7 1633
 
2.6%
Other values (2) 2437
 
3.8%

구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
H04
2998 
H05
345 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowH04
2nd rowH04
3rd rowH04
4th rowH04
5th rowH04

Common Values

ValueCountFrequency (%)
H04 2998
89.7%
H05 345
 
10.3%

Length

2023-12-11T09:26:00.800632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:26:00.896989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h04 2998
89.7%
h05 345
 
10.3%

일련번호
Real number (ℝ)

Distinct249
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.849237
Minimum1
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2023-12-11T09:26:01.002353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median23
Q354
95-th percentile134
Maximum423
Range422
Interquartile range (IQR)46

Descriptive statistics

Standard deviation46.108217
Coefficient of variation (CV)1.1570665
Kurtosis5.9570415
Mean39.849237
Median Absolute Deviation (MAD)18
Skewness2.1054047
Sum133216
Variance2125.9677
MonotonicityNot monotonic
2023-12-11T09:26:01.125233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 156
 
4.7%
2 131
 
3.9%
3 118
 
3.5%
4 108
 
3.2%
5 103
 
3.1%
6 93
 
2.8%
7 86
 
2.6%
8 77
 
2.3%
9 75
 
2.2%
10 73
 
2.2%
Other values (239) 2323
69.5%
ValueCountFrequency (%)
1 156
4.7%
2 131
3.9%
3 118
3.5%
4 108
3.2%
5 103
3.1%
6 93
2.8%
7 86
2.6%
8 77
2.3%
9 75
2.2%
10 73
2.2%
ValueCountFrequency (%)
423 1
< 0.1%
407 1
< 0.1%
247 1
< 0.1%
246 1
< 0.1%
245 1
< 0.1%
244 1
< 0.1%
243 1
< 0.1%
242 1
< 0.1%
241 1
< 0.1%
240 1
< 0.1%

폐천부지명
Text

MISSING 

Distinct541
Distinct (%)17.5%
Missing251
Missing (%)7.5%
Memory size26.2 KiB
2023-12-11T09:26:01.379954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.8800129
Min length1

Characters and Unicode

Total characters18181
Distinct characters99
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

Unique239 ?
Unique (%)7.7%

Sample

1st row폐천부지
2nd row폐천부지
3rd row폐천부지
4th row폐천부지
5th row폐천부지
ValueCountFrequency (%)
폐천부지 197
 
6.3%
기존폐천부지 178
 
5.7%
단계천기존폐천부지 134
 
4.3%
계수천신생폐천부지 111
 
3.6%
단장천폐천부지 83
 
2.7%
기존폐천 63
 
2.0%
연초천폐천부지 60
 
1.9%
양항천폐천부지 44
 
1.4%
해반천폐천부지 43
 
1.4%
신촌천폐천부지 40
 
1.3%
Other values (531) 2150
69.3%
2023-12-11T09:26:01.866757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3192
17.6%
2834
15.6%
1492
 
8.2%
1482
 
8.2%
1432
 
7.9%
1402
 
7.7%
742
 
4.1%
703
 
3.9%
1 535
 
2.9%
334
 
1.8%
Other values (89) 4033
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16241
89.3%
Decimal Number 1929
 
10.6%
Space Separator 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3192
19.7%
2834
17.4%
1492
9.2%
1482
9.1%
1432
8.8%
1402
8.6%
742
 
4.6%
703
 
4.3%
334
 
2.1%
283
 
1.7%
Other values (78) 2345
14.4%
Decimal Number
ValueCountFrequency (%)
1 535
27.7%
2 319
16.5%
3 217
11.2%
4 176
 
9.1%
5 162
 
8.4%
6 132
 
6.8%
7 125
 
6.5%
0 101
 
5.2%
8 88
 
4.6%
9 74
 
3.8%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16241
89.3%
Common 1940
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3192
19.7%
2834
17.4%
1492
9.2%
1482
9.1%
1432
8.8%
1402
8.6%
742
 
4.6%
703
 
4.3%
334
 
2.1%
283
 
1.7%
Other values (78) 2345
14.4%
Common
ValueCountFrequency (%)
1 535
27.6%
2 319
16.4%
3 217
11.2%
4 176
 
9.1%
5 162
 
8.4%
6 132
 
6.8%
7 125
 
6.4%
0 101
 
5.2%
8 88
 
4.5%
9 74
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16241
89.3%
ASCII 1940
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3192
19.7%
2834
17.4%
1492
9.2%
1482
9.1%
1432
8.8%
1402
8.6%
742
 
4.6%
703
 
4.3%
334
 
2.1%
283
 
1.7%
Other values (78) 2345
14.4%
ASCII
ValueCountFrequency (%)
1 535
27.6%
2 319
16.4%
3 217
11.2%
4 176
 
9.1%
5 162
 
8.4%
6 132
 
6.8%
7 125
 
6.4%
0 101
 
5.2%
8 88
 
4.5%
9 74
 
3.8%
Distinct3312
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-11T09:26:02.221138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length970
Mean length597.09961
Min length166

Characters and Unicode

Total characters1996104
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

Unique3281 ?
Unique (%)98.1%

Sample

1st rowMULTIPOLYGON (((1059027.9223406026 1730579.958707455, 1059031.2018757765 1730580.0070349285, 1059041.1893560612 1730579.498811879, 1059045.5631401928 1730578.8584631232, 1059063.0608468174 1730588.8629097887, 1059061.207074824 1730586.6067801684, 1059058.800506105 1730583.6780179911, 1059044.8386442962 1730576.0925341065, 1059034.7695282106 1730570.6717203485, 1059012.528764419 1730573.6146215848, 1059008.1418943359 1730574.419467102, 1059017.2763656978 1730577.1478891147, 1059022.3134028902 1730579.8760537347, 1059027.9223406026 1730579.958707455)))
2nd rowMULTIPOLYGON (((1059100.8486976232 1730609.4080030571, 1059104.1359467322 1730612.3479131944, 1059115.1355238094 1730618.6370064712, 1059118.3424506187 1730620.3964600258, 1059121.60929283 1730622.041999055, 1059124.9320056376 1730623.5715861467, 1059152.2735200431 1730635.5796776956, 1059158.118054859 1730638.038856549, 1059164.0362255538 1730640.3151265616, 1059170.0223094744 1730642.4062866485, 1059176.0705183009 1730644.3103147254, 1059182.1750036392 1730646.0253696553, 1059188.329862671 1730647.5497930273, 1059189.6018944117 1730646.5535805875, 1059192.6077833893 1730644.4650860864, 1059185.5227482393 1730643.4353710618, 1059180.9523406886 1730642.7708864568, 1059179.437064204 1730642.4928679124, 1059155.0176506399 1730632.801577955, 1059143.308256633 1730628.1544996551, 1059141.91911823 1730627.6024923024, 1059128.6348272655 1730620.7521020311, 1059099.376375957 1730605.4598129278, 1059093.1817247903 1730602.2223827064, 1059100.8486976232 1730609.4080030571)))
3rd rowMULTIPOLYGON (((1052581.0070627665 1731434.4960334548, 1052581.7001206886 1731436.2336130193, 1052584.7407059332 1731434.36651818, 1052597.1466070458 1731429.4404237815, 1052596.0894915215 1731427.6359160116, 1052585.2414840155 1731432.2718716431, 1052583.278355561 1731432.8487316277, 1052581.0070627665 1731434.4960334548)))
4th rowMULTIPOLYGON (((1068179.479796804 1735787.2404673372, 1068178.8697414717 1735785.7176220615, 1068173.6821251668 1735772.6125773503, 1068171.9614832222 1735771.55099634, 1068168.0114966813 1735759.6631616424, 1068158.5897797272 1735764.878073229, 1068156.6734309315 1735765.2502722922, 1068176.7327238414 1735803.8695012936, 1068195.3899991997 1735834.940357235, 1068213.0296871106 1735864.1692138598, 1068236.859730766 1735890.1135274426, 1068246.7079326017 1735898.298513834, 1068266.5689504133 1735912.5945996437, 1068241.3431002018 1735913.3987459939, 1068244.7601971524 1735915.9805853441, 1068268.3561382678 1735915.2341225373, 1068271.1761401151 1735916.6217742183, 1068271.127555744 1735913.9767985516, 1068271.1242677444 1735913.7977969507, 1068270.6921056313 1735913.6836498433, 1068270.6921056313 1735913.6836498433, 1068259.3840477937 1735906.0709696566, 1068255.093284498 1735903.0722340357, 1068250.9098135526 1735899.925547686, 1068246.838734107 1735896.6347460535, 1068242.885008306 1735893.2038402366, 106823
5th rowMULTIPOLYGON (((1021936.7398333958 1723734.3965215767, 1021904.9660380636 1723728.7604389852, 1021865.9968388383 1723723.7135481858, 1021840.585484582 1723720.60946849, 1021799.5325654742 1723718.0322246617, 1021797.941891717 1723717.9673597177, 1021767.9829636422 1723716.3415674495, 1021712.3081960137 1723715.0495605848, 1021703.8652627592 1723714.5135389906, 1021661.8532402061 1723717.1807230334, 1021637.1108064797 1723718.6771923173, 1021625.908340097 1723719.194576806, 1021575.7305749716 1723722.5508068302, 1021569.5783691261 1723718.7874260088, 1021567.4952218042 1723717.583540004, 1021566.0274971905 1723716.7352896975, 1021539.1547516453 1723705.755211566, 1021539.4115681443 1723688.3204998062, 1021539.614100595 1723684.6600154398, 1021502.9669564137 1723669.3931999851, 1021502.0543266418 1723665.0257194247, 1021491.2248021407 1723666.7267431472, 1021455.1622685665 1723672.3914375661, 1021429.5829027633 1723676.3781028418, 1021424.6360091213 1723677.1736581698, 1021427.1763624063 1723678.0615078704, 102
ValueCountFrequency (%)
multipolygon 3343
 
3.2%
10 31
 
< 0.1%
1 25
 
< 0.1%
103 13
 
< 0.1%
104 12
 
< 0.1%
109 10
 
< 0.1%
1713504.3273216872 8
 
< 0.1%
1151374.2140342032 8
 
< 0.1%
11 8
 
< 0.1%
1678130.6982268672 5
 
< 0.1%
Other values (93635) 101099
96.7%
2023-12-11T09:26:02.840616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 261421
13.1%
0 176411
8.8%
7 174722
8.8%
6 170084
8.5%
4 156240
7.8%
2 154974
7.8%
3 149739
7.5%
5 149547
7.5%
8 148524
7.4%
9 146907
7.4%
Other values (15) 307535
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1688569
84.6%
Other Punctuation 148438
 
7.4%
Space Separator 101236
 
5.1%
Uppercase Letter 40116
 
2.0%
Open Punctuation 10036
 
0.5%
Close Punctuation 7709
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 261421
15.5%
0 176411
10.4%
7 174722
10.3%
6 170084
10.1%
4 156240
9.3%
2 154974
9.2%
3 149739
8.9%
5 149547
8.9%
8 148524
8.8%
9 146907
8.7%
Uppercase Letter
ValueCountFrequency (%)
O 6686
16.7%
L 6686
16.7%
U 3343
8.3%
N 3343
8.3%
G 3343
8.3%
Y 3343
8.3%
P 3343
8.3%
I 3343
8.3%
T 3343
8.3%
M 3343
8.3%
Other Punctuation
ValueCountFrequency (%)
. 100778
67.9%
, 47660
32.1%
Space Separator
ValueCountFrequency (%)
101236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10036
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7709
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1955988
98.0%
Latin 40116
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 261421
13.4%
0 176411
9.0%
7 174722
8.9%
6 170084
8.7%
4 156240
8.0%
2 154974
7.9%
3 149739
7.7%
5 149547
7.6%
8 148524
7.6%
9 146907
7.5%
Other values (5) 267419
13.7%
Latin
ValueCountFrequency (%)
O 6686
16.7%
L 6686
16.7%
U 3343
8.3%
N 3343
8.3%
G 3343
8.3%
Y 3343
8.3%
P 3343
8.3%
I 3343
8.3%
T 3343
8.3%
M 3343
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1996104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 261421
13.1%
0 176411
8.8%
7 174722
8.8%
6 170084
8.5%
4 156240
7.8%
2 154974
7.8%
3 149739
7.5%
5 149547
7.5%
8 148524
7.4%
9 146907
7.4%
Other values (15) 307535
15.4%

Interactions

2023-12-11T09:25:59.285930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:59.069305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:59.435014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:25:59.192083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:26:02.973232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디구분코드일련번호
공간아이디1.0000.3880.430
구분코드0.3881.0000.097
일련번호0.4300.0971.000
2023-12-11T09:26:03.094904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디일련번호구분코드
공간아이디1.000-0.1360.297
일련번호-0.1361.0000.103
구분코드0.2970.1031.000

Missing values

2023-12-11T09:25:59.569521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:25:59.682611image/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

공간아이디하천관리코드구분코드일련번호폐천부지명공간정보
0120235002019F02Q0101H041<NA>MULTIPOLYGON (((1059027.9223406026 1730579.958707455, 1059031.2018757765 1730580.0070349285, 1059041.1893560612 1730579.498811879, 1059045.5631401928 1730578.8584631232, 1059063.0608468174 1730588.8629097887, 1059061.207074824 1730586.6067801684, 1059058.800506105 1730583.6780179911, 1059044.8386442962 1730576.0925341065, 1059034.7695282106 1730570.6717203485, 1059012.528764419 1730573.6146215848, 1059008.1418943359 1730574.419467102, 1059017.2763656978 1730577.1478891147, 1059022.3134028902 1730579.8760537347, 1059027.9223406026 1730579.958707455)))
1220235002019F02Q0101H042<NA>MULTIPOLYGON (((1059100.8486976232 1730609.4080030571, 1059104.1359467322 1730612.3479131944, 1059115.1355238094 1730618.6370064712, 1059118.3424506187 1730620.3964600258, 1059121.60929283 1730622.041999055, 1059124.9320056376 1730623.5715861467, 1059152.2735200431 1730635.5796776956, 1059158.118054859 1730638.038856549, 1059164.0362255538 1730640.3151265616, 1059170.0223094744 1730642.4062866485, 1059176.0705183009 1730644.3103147254, 1059182.1750036392 1730646.0253696553, 1059188.329862671 1730647.5497930273, 1059189.6018944117 1730646.5535805875, 1059192.6077833893 1730644.4650860864, 1059185.5227482393 1730643.4353710618, 1059180.9523406886 1730642.7708864568, 1059179.437064204 1730642.4928679124, 1059155.0176506399 1730632.801577955, 1059143.308256633 1730628.1544996551, 1059141.91911823 1730627.6024923024, 1059128.6348272655 1730620.7521020311, 1059099.376375957 1730605.4598129278, 1059093.1817247903 1730602.2223827064, 1059100.8486976232 1730609.4080030571)))
2320233702019F02Q0101H043<NA>MULTIPOLYGON (((1052581.0070627665 1731434.4960334548, 1052581.7001206886 1731436.2336130193, 1052584.7407059332 1731434.36651818, 1052597.1466070458 1731429.4404237815, 1052596.0894915215 1731427.6359160116, 1052585.2414840155 1731432.2718716431, 1052583.278355561 1731432.8487316277, 1052581.0070627665 1731434.4960334548)))
3420235902019F02Q0101H044<NA>MULTIPOLYGON (((1068179.479796804 1735787.2404673372, 1068178.8697414717 1735785.7176220615, 1068173.6821251668 1735772.6125773503, 1068171.9614832222 1735771.55099634, 1068168.0114966813 1735759.6631616424, 1068158.5897797272 1735764.878073229, 1068156.6734309315 1735765.2502722922, 1068176.7327238414 1735803.8695012936, 1068195.3899991997 1735834.940357235, 1068213.0296871106 1735864.1692138598, 1068236.859730766 1735890.1135274426, 1068246.7079326017 1735898.298513834, 1068266.5689504133 1735912.5945996437, 1068241.3431002018 1735913.3987459939, 1068244.7601971524 1735915.9805853441, 1068268.3561382678 1735915.2341225373, 1068271.1761401151 1735916.6217742183, 1068271.127555744 1735913.9767985516, 1068271.1242677444 1735913.7977969507, 1068270.6921056313 1735913.6836498433, 1068270.6921056313 1735913.6836498433, 1068259.3840477937 1735906.0709696566, 1068255.093284498 1735903.0722340357, 1068250.9098135526 1735899.925547686, 1068246.838734107 1735896.6347460535, 1068242.885008306 1735893.2038402366, 106823
4520142102012F02Q0101H0425폐천부지MULTIPOLYGON (((1021936.7398333958 1723734.3965215767, 1021904.9660380636 1723728.7604389852, 1021865.9968388383 1723723.7135481858, 1021840.585484582 1723720.60946849, 1021799.5325654742 1723718.0322246617, 1021797.941891717 1723717.9673597177, 1021767.9829636422 1723716.3415674495, 1021712.3081960137 1723715.0495605848, 1021703.8652627592 1723714.5135389906, 1021661.8532402061 1723717.1807230334, 1021637.1108064797 1723718.6771923173, 1021625.908340097 1723719.194576806, 1021575.7305749716 1723722.5508068302, 1021569.5783691261 1723718.7874260088, 1021567.4952218042 1723717.583540004, 1021566.0274971905 1723716.7352896975, 1021539.1547516453 1723705.755211566, 1021539.4115681443 1723688.3204998062, 1021539.614100595 1723684.6600154398, 1021502.9669564137 1723669.3931999851, 1021502.0543266418 1723665.0257194247, 1021491.2248021407 1723666.7267431472, 1021455.1622685665 1723672.3914375661, 1021429.5829027633 1723676.3781028418, 1021424.6360091213 1723677.1736581698, 1021427.1763624063 1723678.0615078704, 102
5620142102012F02Q0101H0434폐천부지MULTIPOLYGON (((1023580.661847399 1724689.3179317473, 1023587.8526757872 1724664.7142109554, 1023588.0963926155 1724663.878269744, 1023589.5338699276 1724658.9630562996, 1023596.3106479152 1724651.8170676026, 1023599.7754239712 1724646.7308781901, 1023601.4539589583 1724643.8367227889, 1023595.5598291538 1724641.3105447413, 1023576.3232232953 1724639.696443376, 1023570.2093090235 1724638.9917643897, 1023565.475819518 1724647.3541190047, 1023563.9775509781 1724649.5656758212, 1023552.3150548635 1724666.7948683114, 1023535.2107064012 1724679.2007895322, 1023535.7794037107 1724679.4758001782, 1023539.7265083004 1724678.4232811038, 1023545.5009470294 1724674.3000571388, 1023551.7221958607 1724669.9304510124, 1023555.4704091025 1724677.5455998145, 1023580.661847399 1724689.3179317473)))
6720142102012F02Q0101H0435폐천부지MULTIPOLYGON (((1022353.7504277083 1723979.6831304152, 1022351.9876624976 1723985.6992933664, 1022350.4398186925 1723986.1076046485, 1022345.370530226 1723981.6365825771, 1022316.0607249193 1723988.9794554852, 1022316.3097426828 1723995.1453502884, 1022317.3699415439 1724007.1697833305, 1022319.0179039873 1724008.0869761743, 1022378.2424851682 1724001.134680659, 1022355.4511572514 1723979.298609366, 1022353.7504277083 1723979.6831304152)))
7820142102012F02Q0101H0436폐천부지MULTIPOLYGON (((1019690.393242186 1725618.2678919935, 1019691.331199147 1725616.5768284446, 1019693.0078197774 1725609.5702798273, 1019697.5716264091 1725600.0393328574, 1019698.9818083663 1725597.0075763445, 1019704.4094075476 1725581.2022065276, 1019704.6405103286 1725580.250407793, 1019706.8117942906 1725572.9974888684, 1019707.6338987141 1725559.81428051, 1019709.9197032985 1725551.882163899, 1019711.1347777335 1725535.2022899026, 1019711.8829776602 1725527.982688318, 1019711.8181945973 1725516.1663293256, 1019710.9401369443 1725507.7694418777, 1019710.8702374573 1725505.6418253263, 1019708.1521914648 1725489.5456192303, 1019705.0194097464 1725475.2777943218, 1019704.9893695422 1725475.156911266, 1019705.1780488972 1725492.432284901, 1019707.268216031 1725514.59803013, 1019706.7285083871 1725516.4070858392, 1019698.7392680345 1725520.1646398355, 1019697.5991385835 1725523.0123221944, 1019699.4249206473 1725530.0799235087, 1019703.8367626903 1725556.5338503607, 1019703.9799384814 1725569.6295116765, 101970
8920142102012F02Q0101H0437폐천부지MULTIPOLYGON (((1019644.8167399729 1725681.4637801775, 1019647.3803965196 1725678.821522021, 1019649.7286199612 1725676.1337846287, 1019652.0452272077 1725673.6703661592, 1019659.0708977304 1725664.736716807, 1019665.4815105097 1725657.134505342, 1019666.6138854948 1725655.5330404046, 1019668.8015446953 1725652.8717062585, 1019677.4852110309 1725641.0800717997, 1019678.8526019554 1725638.3397335843, 1019672.5945274369 1725637.5713050931, 1019667.5382776682 1725648.9468931395, 1019663.7742277409 1725649.6174741471, 1019655.2203387327 1725648.6511152843, 1019652.5504568435 1725653.2046335924, 1019650.3001541204 1725656.733492567, 1019651.7665051346 1725662.6585820818, 1019651.2155433308 1725664.3676425528, 1019649.7475694418 1725669.5767942201, 1019648.6128667906 1725673.29268007, 1019645.5577943713 1725679.3445895093, 1019644.8167399729 1725681.4637801775)))
91020142102012F02Q0101H0438폐천부지MULTIPOLYGON (((1021333.1213349812 1723698.3120400584, 1021344.2566293627 1723692.8212953834, 1021354.1668953497 1723687.211631135, 1021367.2260562999 1723677.9037727956, 1021367.8470762556 1723677.14242785, 1021365.5699461063 1723676.9443980833, 1021344.6747099648 1723676.8612143034, 1021337.9602772834 1723690.001336533, 1021330.8545550851 1723698.1871419232, 1021333.1213349812 1723698.3120400584)))
공간아이디하천관리코드구분코드일련번호폐천부지명공간정보
3333333427210002021F01Q0101H043폐천03MULTIPOLYGON (((1061989.783447376 1668066.1525846021, 1061997.0298621452 1668062.2231945582, 1062007.3806157787 1668056.4575657882, 1062010.3454713698 1668054.456881286, 1062009.6861500351 1668054.226038674, 1061993.0527679212 1668063.4430018135, 1061989.783447376 1668066.1525846021)))
3334333527210002021F01Q0101H042폐천02MULTIPOLYGON (((1061823.4347245311 1668972.9768409794, 1061823.2639849817 1668971.6002061807, 1061821.4598998814 1668975.280211404, 1061821.457011222 1668975.2861660798, 1061822.084645239 1668976.0685603563, 1061823.4261453024 1668980.2488225885, 1061825.2803107237 1668976.3297459173, 1061824.710457332 1668975.3612793214, 1061823.4347245311 1668972.9768409794)))
3335333627210002021F01Q0101H041폐천01MULTIPOLYGON (((1061403.384999751 1669731.6252440247, 1061400.1675258128 1669736.3241541162, 1061398.2998796972 1669739.0518944368, 1061398.7758811924 1669740.9694491522, 1061389.654170897 1669751.9500481584, 1061395.5465631436 1669746.110241158, 1061405.221553318 1669732.4605093026, 1061406.239129569 1669731.0248717796, 1061403.384999751 1669731.6252440247)))
3336333727210002021F01Q0101H044폐천04MULTIPOLYGON (((1062032.0958457862 1668040.7913660677, 1062030.9664670518 1668041.318916294, 1062030.9636475279 1668041.3202734669, 1062018.6454391782 1668047.1040101731, 1062030.9636475279 1668041.3202734669, 1062018.6404569063 1668047.1029355864, 1062015.5648591449 1668049.5609111367, 1062018.6454391782 1668047.1040101731, 1062015.5648591449 1668049.5609111367, 1062013.6925443169 1668051.0572842811, 1062009.6861500351 1668054.226038674, 1062010.3454713698 1668054.456881286, 1062014.9032898827 1668051.38139013, 1062022.3854719552 1668048.1009410433, 1062049.1500092589 1668033.1961188468, 1062039.5914298368 1668037.2910871175, 1062032.0958457862 1668040.7913660677)))
3337333827210002021F01Q0101H045폐천05MULTIPOLYGON (((1062611.3447138192 1667692.9696187202, 1062605.7852095459 1667691.1966731711, 1062605.5688894081 1667718.1357083376, 1062605.4800610596 1667724.6632343228, 1062605.223275539 1667726.5229922407, 1062605.4210785523 1667730.0698591163, 1062605.2111320929 1667730.2036603095, 1062605.1513282943 1667736.5493795113, 1062606.4088194522 1667729.4082186632, 1062609.6756014226 1667711.332986105, 1062611.3276338847 1667702.006240278, 1062611.3447138192 1667692.9696187202)))
3338333927210002021F01Q0101H047폐천07MULTIPOLYGON (((1062606.0723550438 1667684.3446306405, 1062606.0772329867 1667684.8048602794, 1062606.0649693473 1667684.8891495494, 1062606.0614057104 1667685.1528136309, 1062608.0398676281 1667685.2805241547, 1062608.1630552243 1667676.221205345, 1062608.3756567095 1667663.5413615783, 1062609.1169885353 1667615.688451242, 1062609.376164209 1667600.309150692, 1062609.2959171487 1667587.0930708223, 1062607.5744024008 1667583.5120029736, 1062608.5208824575 1667593.9546741848, 1062608.5659494891 1667599.2495984687, 1062608.8032568 1667599.8892670823, 1062609.1538627208 1667605.5476722224, 1062608.9844314598 1667606.1185462486, 1062608.945374446 1667610.1731928675, 1062608.271940298 1667615.941965174, 1062607.5941493178 1667627.945924948, 1062606.9746105024 1667650.2863329595, 1062606.8993316852 1667660.9135825338, 1062606.791406983 1667668.3790285117, 1062606.8062511 1667670.4440069157, 1062606.8328346913 1667671.7745911693, 1062606.7491032649 1667673.5473785237, 1062606.1500345925 1667678.5852971275, 1062606.0
3339334020254902021F02Q0101H042폐천02MULTIPOLYGON (((1063866.68699699 1673609.6703647552, 1063861.918567894 1673605.1567630104, 1063856.9909558224 1673598.1917098851, 1063845.6017751049 1673606.2067568805, 1063839.9534810395 1673611.3891158174, 1063837.3595870656 1673612.9625752459, 1063839.5049946704 1673613.688655496, 1063841.3685123732 1673613.084900407, 1063854.9202515192 1673601.6014823993, 1063858.9342266023 1673605.3067814275, 1063860.3135898255 1673609.2393410834, 1063865.5303845922 1673612.6445966745, 1063865.825137375 1673611.3949226781, 1063866.2036386188 1673610.820780982, 1063866.68699699 1673609.6703647552)))
3340334120254902021F02Q0101H043폐천03MULTIPOLYGON (((1063876.675477445 1673564.4814669634, 1063873.6897944377 1673553.0980124106, 1063870.0689432784 1673553.149834149, 1063867.5463193299 1673556.376502464, 1063862.9385711863 1673558.5352742623, 1063862.1372181277 1673562.8030815574, 1063864.4880583414 1673565.023795002, 1063868.907551927 1673563.7717240953, 1063871.0719572562 1673568.0839872423, 1063876.675477445 1673564.4814669634)))
3341334220254902021F02Q0101H041폐천01MULTIPOLYGON (((1063821.7380474014 1673736.131415871, 1063809.8627090307 1673736.2476135066, 1063814.7815126833 1673749.907475235, 1063824.7629798208 1673762.1580026555, 1063827.3682957902 1673781.2103707618, 1063824.0614439233 1673799.7968587258, 1063819.3881131685 1673819.6383839848, 1063818.5452384735 1673826.0227277556, 1063824.5333301441 1673848.9388448214, 1063829.523820061 1673859.230824785, 1063829.1254832884 1673879.3836266566, 1063836.8452724472 1673892.6547887307, 1063840.7983327128 1673903.726908214, 1063826.681219553 1673895.9207331876, 1063809.6780496584 1673890.8172624784, 1063811.1627360166 1673895.6721314883, 1063812.1076097442 1673902.914157454, 1063816.134873044 1673901.2062993892, 1063824.6374426552 1673901.8581311684, 1063831.4329272073 1673904.2107343338, 1063835.3166493652 1673908.447943938, 1063838.3023206634 1673909.29854708, 1063843.7069808294 1673911.2494779797, 1063844.7787985639 1673909.8735508295, 1063843.902517321 1673908.3664483158, 1063843.4863084326 1673907.4273787206, 106384
3342334320254902021F02Q0101H044폐천04MULTIPOLYGON (((1065023.0549438873 1672958.1594969067, 1065037.0291453318 1672941.751573708, 1065037.1095313197 1672941.5631253156, 1065037.3576893485 1672941.3658110318, 1065041.4815148178 1672936.5237871772, 1065042.1468790472 1672934.7960159848, 1065045.7584673963 1672927.7095390153, 1065049.0701765 1672924.2744387072, 1065053.535010942 1672913.6338857715, 1065057.5893763439 1672909.210265731, 1065061.8362569453 1672905.9441924233, 1065066.0086954923 1672894.9899986358, 1065045.5257020998 1672919.065222173, 1065004.368290341 1672972.0521115854, 1065001.6790908875 1672978.6859685294, 1065001.9500840337 1672978.4366080181, 1065003.7035123967 1672975.7158321051, 1065006.8301372358 1672975.4119952929, 1065007.979014458 1672978.585327604, 1065008.4260155663 1672978.9289682694, 1065010.6967911534 1672975.0913046268, 1065014.8381944674 1672968.8035625725, 1065017.5916779344 1672964.9961721604, 1065020.118139591 1672961.7262006886, 1065023.0549438873 1672958.1594969067)))