Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description공공데이터 중장기 개방계획에 따라 공개하는 경상남도 하천관리 시스템의 데이터 입니다. 하천관리시스템의 하천중신선 정보를 포함하고있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093537

Alerts

공간아이디 has unique valuesUnique
공간정보 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:28:16.719195
Analysis finished2023-12-10 23:28:18.742410
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간아이디
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12892.018
Minimum1
Maximum70494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:28:18.817929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1331.6
Q16466.75
median12881.5
Q319264.75
95-th percentile24353.25
Maximum70494
Range70493
Interquartile range (IQR)12798

Descriptive statistics

Standard deviation7444.8278
Coefficient of variation (CV)0.57747574
Kurtosis-0.49231821
Mean12892.018
Median Absolute Deviation (MAD)6406
Skewness0.094316693
Sum1.2892018 × 108
Variance55425460
MonotonicityNot monotonic
2023-12-11T08:28:18.967211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18305 1
 
< 0.1%
25269 1
 
< 0.1%
19920 1
 
< 0.1%
12269 1
 
< 0.1%
180 1
 
< 0.1%
16683 1
 
< 0.1%
24668 1
 
< 0.1%
25296 1
 
< 0.1%
8608 1
 
< 0.1%
8253 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
13 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
26 1
< 0.1%
29 1
< 0.1%
31 1
< 0.1%
ValueCountFrequency (%)
70494 1
< 0.1%
70493 1
< 0.1%
38518 1
< 0.1%
37588 1
< 0.1%
37587 1
< 0.1%
34899 1
< 0.1%
30710 1
< 0.1%
29639 1
< 0.1%
27144 1
< 0.1%
27109 1
< 0.1%

하천관리코드
Text

Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:28:19.201028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters190000
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row20240302005F01Q0101
2nd row20228700000F99Q9901
3rd row20228700000F99Q9901
4th row20238602013F01Q0101
5th row20233102019F01Q0101
ValueCountFrequency (%)
20231502019f02q0101 258
 
2.6%
20228802004f01q0101 214
 
2.1%
20231502004f02q0101 207
 
2.1%
20235102010f01q0101 163
 
1.6%
20239602006f02q0101 152
 
1.5%
20233402010f01q0101 143
 
1.4%
20231102004f01q0101 127
 
1.3%
20231702004f01q0101 125
 
1.2%
20237602005f02q0101 123
 
1.2%
20232602019f02q0101 122
 
1.2%
Other values (198) 8366
83.7%
2023-12-11T08:28:19.557648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 66561
35.0%
2 36361
19.1%
1 36118
19.0%
F 10000
 
5.3%
Q 10000
 
5.3%
3 7114
 
3.7%
4 6150
 
3.2%
9 5644
 
3.0%
8 3229
 
1.7%
7 3153
 
1.7%
Other values (2) 5670
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 170000
89.5%
Uppercase Letter 20000
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66561
39.2%
2 36361
21.4%
1 36118
21.2%
3 7114
 
4.2%
4 6150
 
3.6%
9 5644
 
3.3%
8 3229
 
1.9%
7 3153
 
1.9%
5 2937
 
1.7%
6 2733
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
F 10000
50.0%
Q 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 170000
89.5%
Latin 20000
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 66561
39.2%
2 36361
21.4%
1 36118
21.2%
3 7114
 
4.2%
4 6150
 
3.6%
9 5644
 
3.3%
8 3229
 
1.9%
7 3153
 
1.9%
5 2937
 
1.7%
6 2733
 
1.6%
Latin
ValueCountFrequency (%)
F 10000
50.0%
Q 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 66561
35.0%
2 36361
19.1%
1 36118
19.0%
F 10000
 
5.3%
Q 10000
 
5.3%
3 7114
 
3.7%
4 6150
 
3.2%
9 5644
 
3.0%
8 3229
 
1.7%
7 3153
 
1.7%
Other values (2) 5670
 
3.0%

구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
E02
5022 
E03
4978 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE02
2nd rowE02
3rd rowE02
4th rowE02
5th rowE03

Common Values

ValueCountFrequency (%)
E02 5022
50.2%
E03 4978
49.8%

Length

2023-12-11T08:28:19.741204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:28:19.831115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e02 5022
50.2%
e03 4978
49.8%

일련번호
Real number (ℝ)

Distinct1108
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.1525
Minimum1
Maximum2519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:28:19.966444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q124
median51
Q3101
95-th percentile1242
Maximum2519
Range2518
Interquartile range (IQR)77

Descriptive statistics

Standard deviation432.19999
Coefficient of variation (CV)2.3217523
Kurtosis12.020543
Mean186.1525
Median Absolute Deviation (MAD)33
Skewness3.5268908
Sum1861525
Variance186796.83
MonotonicityNot monotonic
2023-12-11T08:28:20.143126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 121
 
1.2%
3 121
 
1.2%
21 119
 
1.2%
25 117
 
1.2%
4 117
 
1.2%
16 114
 
1.1%
6 114
 
1.1%
20 113
 
1.1%
14 112
 
1.1%
32 111
 
1.1%
Other values (1098) 8841
88.4%
ValueCountFrequency (%)
1 99
1.0%
2 97
1.0%
3 121
1.2%
4 117
1.2%
5 105
1.1%
6 114
1.1%
7 87
0.9%
8 110
1.1%
9 110
1.1%
10 93
0.9%
ValueCountFrequency (%)
2519 2
< 0.1%
2517 1
< 0.1%
2516 1
< 0.1%
2515 1
< 0.1%
2503 1
< 0.1%
2500 1
< 0.1%
2499 2
< 0.1%
2492 1
< 0.1%
2487 1
< 0.1%
2486 1
< 0.1%

하천경계명
Text

Distinct936
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:28:20.491156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.7532
Min length2

Characters and Unicode

Total characters37532
Distinct characters126
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

Unique536 ?
Unique (%)5.4%

Sample

1st row칠곡천05
2nd row신기천
3rd row신기천
4th row유학천
5th row004+700
ValueCountFrequency (%)
유곡천 373
 
3.7%
대산천 271
 
2.7%
계수천 218
 
2.2%
창녕천 210
 
2.1%
가천천03 207
 
2.1%
신전천 166
 
1.7%
금양천 163
 
1.6%
금성천 143
 
1.4%
신반천 138
 
1.4%
운봉천 138
 
1.4%
Other values (926) 7973
79.7%
2023-12-11T08:28:20.978958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 8894
23.7%
0 4766
 
12.7%
+ 1420
 
3.8%
곡 1366
 
3.6%
산 1053
 
2.8%
3 959
 
2.6%
1 727
 
1.9%
2 602
 
1.6%
신 594
 
1.6%
가 538
 
1.4%
Other values (116) 16613
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25656
68.4%
Decimal Number 9585
 
25.5%
Math Symbol 1420
 
3.8%
Uppercase Letter 442
 
1.2%
Other Punctuation 221
 
0.6%
Open Punctuation 104
 
0.3%
Close Punctuation 104
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 8894
34.7%
곡 1366
 
5.3%
산 1053
 
4.1%
신 594
 
2.3%
가 538
 
2.1%
대 479
 
1.9%
유 453
 
1.8%
전 431
 
1.7%
계 417
 
1.6%
하 399
 
1.6%
Other values (100) 11032
43.0%
Decimal Number
ValueCountFrequency (%)
0 4766
49.7%
3 959
 
10.0%
1 727
 
7.6%
2 602
 
6.3%
9 530
 
5.5%
4 515
 
5.4%
5 463
 
4.8%
7 399
 
4.2%
8 326
 
3.4%
6 298
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
N 221
50.0%
O 221
50.0%
Math Symbol
ValueCountFrequency (%)
+ 1420
100.0%
Other Punctuation
ValueCountFrequency (%)
. 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25656
68.4%
Common 11434
30.5%
Latin 442
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 8894
34.7%
곡 1366
 
5.3%
산 1053
 
4.1%
신 594
 
2.3%
가 538
 
2.1%
대 479
 
1.9%
유 453
 
1.8%
전 431
 
1.7%
계 417
 
1.6%
하 399
 
1.6%
Other values (100) 11032
43.0%
Common
ValueCountFrequency (%)
0 4766
41.7%
+ 1420
 
12.4%
3 959
 
8.4%
1 727
 
6.4%
2 602
 
5.3%
9 530
 
4.6%
4 515
 
4.5%
5 463
 
4.0%
7 399
 
3.5%
8 326
 
2.9%
Other values (4) 727
 
6.4%
Latin
ValueCountFrequency (%)
N 221
50.0%
O 221
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25656
68.4%
ASCII 11876
31.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 8894
34.7%
곡 1366
 
5.3%
산 1053
 
4.1%
신 594
 
2.3%
가 538
 
2.1%
대 479
 
1.9%
유 453
 
1.8%
전 431
 
1.7%
계 417
 
1.6%
하 399
 
1.6%
Other values (100) 11032
43.0%
ASCII
ValueCountFrequency (%)
0 4766
40.1%
+ 1420
 
12.0%
3 959
 
8.1%
1 727
 
6.1%
2 602
 
5.1%
9 530
 
4.5%
4 515
 
4.3%
5 463
 
3.9%
7 399
 
3.4%
8 326
 
2.7%
Other values (6) 1169
 
9.8%

측점번호
Text

Distinct258
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:28:21.341659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.0002
Min length9

Characters and Unicode

Total characters90002
Distinct characters12
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

Unique57 ?
Unique (%)0.6%

Sample

1st row0027+0027
2nd row0051+0051
3rd row0003+0003
4th row0013+0013
5th row0004+0004
ValueCountFrequency (%)
0001+0001 549
 
5.5%
0002+0002 465
 
4.7%
0000+0000 465
 
4.7%
0003+0003 374
 
3.7%
0004+0004 329
 
3.3%
0006+0006 258
 
2.6%
0008+0008 250
 
2.5%
0005+0005 247
 
2.5%
0009+0009 224
 
2.2%
0010+0010 219
 
2.2%
Other values (248) 6620
66.2%
2023-12-11T08:28:21.775914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48544
53.9%
+ 9998
 
11.1%
1 7221
 
8.0%
2 5444
 
6.0%
3 4044
 
4.5%
4 3225
 
3.6%
5 2820
 
3.1%
6 2497
 
2.8%
7 2213
 
2.5%
8 2038
 
2.3%
Other values (2) 1958
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
88.9%
Math Symbol 9998
 
11.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48544
60.7%
1 7221
 
9.0%
2 5444
 
6.8%
3 4044
 
5.1%
4 3225
 
4.0%
5 2820
 
3.5%
6 2497
 
3.1%
7 2213
 
2.8%
8 2038
 
2.5%
9 1954
 
2.4%
Math Symbol
ValueCountFrequency (%)
+ 9998
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90002
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48544
53.9%
+ 9998
 
11.1%
1 7221
 
8.0%
2 5444
 
6.0%
3 4044
 
4.5%
4 3225
 
3.6%
5 2820
 
3.1%
6 2497
 
2.8%
7 2213
 
2.5%
8 2038
 
2.3%
Other values (2) 1958
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48544
53.9%
+ 9998
 
11.1%
1 7221
 
8.0%
2 5444
 
6.0%
3 4044
 
4.5%
4 3225
 
3.6%
5 2820
 
3.1%
6 2497
 
2.8%
7 2213
 
2.5%
8 2038
 
2.3%
Other values (2) 1958
 
2.2%

공간정보
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:28:22.265563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length955
Mean length321.9917
Min length76

Characters and Unicode

Total characters3219917
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowMULTILINESTRING ((1084442.7388000004 1716580.8714000005, 1084440.8317 1716573.5188999996, 1084436.1073000003 1716555.5241999999, 1084431.5006999997 1716537.549900001, 1084427.8080000002 1716521.3234, 1084423.4271 1716506.4814999998, 1084417.2059000004 1716484.2942999993, 1084416.6640999997 1716482.3456999995))
2nd rowMULTILINESTRING ((1030747.5842000004 1761057.7058000006, 1030748.2259999998 1761056.8183999993, 1030750.7648999998 1761053.5152000003))
3rd rowMULTILINESTRING ((1033349.8383999998 1757621.919399999, 1033376.1536999997 1757613.0796000008))
4th rowMULTILINESTRING ((1076026.3965999996 1723337.0373, 1076030.1900000004 1723336.0327000003, 1076034.0683000004 1723334.7360999994, 1076046.4822000004 1723330.6293000001, 1076060.2830999997 1723327.0088, 1076068.5395 1723325.8771000002, 1076089.4051 1723317.9341000002, 1076096.1474000001 1723314.1086, 1076104.6371999998 1723307.6775000002, 1076111.8589000003 1723305.048800001, 1076117.9685000004 1723302.8247999996, 1076120.0780999996 1723302.1393999998))
5th rowMULTILINESTRING ((1042993.1330000004 1727156.3125, 1042990.0982999997 1727156.6389000006, 1042976.8827 1727160.9003999997, 1042974.4912999999 1727159.5726999994, 1042971.0891000004 1727157.2791000009, 1042956.6821999997 1727156.9022000004, 1042931.8874000004 1727144.9400999993, 1042922.4247000003 1727140.5457000006, 1042917.2674000002 1727137.8697999995, 1042916.2040999997 1727137.1493999995, 1042911.3064000001 1727132.711100001, 1042907.9584999997 1727130.9879, 1042906.7575000003 1727129.8388, 1042904.1151 1727127.5160000008, 1042901.2937000003 1727126.6072000004, 1042899.4298999999 1727126.5921, 1042899.4283999996 1727126.5852000006))
ValueCountFrequency (%)
multilinestring 10000
 
5.7%
1 11
 
< 0.1%
17 4
 
< 0.1%
10 3
 
< 0.1%
1715067.3494000006 3
 
< 0.1%
104 3
 
< 0.1%
1740788.7733999994 3
 
< 0.1%
1045914.1149000004 3
 
< 0.1%
1030465.7446999997 3
 
< 0.1%
103 3
 
< 0.1%
Other values (156348) 164051
94.2%
2023-12-11T08:28:22.955334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 558893
17.4%
9 489273
15.2%
1 323393
10.0%
7 237441
7.4%
3 184607
 
5.7%
4 179999
 
5.6%
2 178553
 
5.5%
5 164921
 
5.1%
164095
 
5.1%
. 163990
 
5.1%
Other values (15) 574752
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2630145
81.7%
Other Punctuation 236091
 
7.3%
Space Separator 164095
 
5.1%
Uppercase Letter 150000
 
4.7%
Open Punctuation 20005
 
0.6%
Close Punctuation 19581
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 558893
21.2%
9 489273
18.6%
1 323393
12.3%
7 237441
9.0%
3 184607
 
7.0%
4 179999
 
6.8%
2 178553
 
6.8%
5 164921
 
6.3%
6 158127
 
6.0%
8 154938
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
I 30000
20.0%
N 20000
13.3%
T 20000
13.3%
L 20000
13.3%
U 10000
 
6.7%
G 10000
 
6.7%
R 10000
 
6.7%
S 10000
 
6.7%
E 10000
 
6.7%
M 10000
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 163990
69.5%
, 72101
30.5%
Space Separator
ValueCountFrequency (%)
164095
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20005
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19581
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3069917
95.3%
Latin 150000
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 558893
18.2%
9 489273
15.9%
1 323393
10.5%
7 237441
7.7%
3 184607
 
6.0%
4 179999
 
5.9%
2 178553
 
5.8%
5 164921
 
5.4%
164095
 
5.3%
. 163990
 
5.3%
Other values (5) 424752
13.8%
Latin
ValueCountFrequency (%)
I 30000
20.0%
N 20000
13.3%
T 20000
13.3%
L 20000
13.3%
U 10000
 
6.7%
G 10000
 
6.7%
R 10000
 
6.7%
S 10000
 
6.7%
E 10000
 
6.7%
M 10000
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3219917
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 558893
17.4%
9 489273
15.2%
1 323393
10.0%
7 237441
7.4%
3 184607
 
5.7%
4 179999
 
5.6%
2 178553
 
5.5%
5 164921
 
5.1%
164095
 
5.1%
. 163990
 
5.1%
Other values (15) 574752
17.8%

Interactions

2023-12-11T08:28:18.256796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:18.053459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:18.382663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:28:18.155089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:28:23.083767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디구분코드일련번호
공간아이디1.0000.0220.412
구분코드0.0221.0000.000
일련번호0.4120.0001.000
2023-12-11T08:28:23.195583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간아이디일련번호구분코드
공간아이디1.000-0.1430.023
일련번호-0.1431.0000.000
구분코드0.0230.0001.000

Missing values

2023-12-11T08:28:18.539940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:28:18.676750image/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

공간아이디하천관리코드구분코드일련번호하천경계명측점번호공간정보
183481830520240302005F01Q0101E0237칠곡천050027+0027MULTILINESTRING ((1084442.7388000004 1716580.8714000005, 1084440.8317 1716573.5188999996, 1084436.1073000003 1716555.5241999999, 1084431.5006999997 1716537.549900001, 1084427.8080000002 1716521.3234, 1084423.4271 1716506.4814999998, 1084417.2059000004 1716484.2942999993, 1084416.6640999997 1716482.3456999995))
3313330720228700000F99Q9901E0215신기천0051+0051MULTILINESTRING ((1030747.5842000004 1761057.7058000006, 1030748.2259999998 1761056.8183999993, 1030750.7648999998 1761053.5152000003))
3375336920228700000F99Q9901E0278신기천0003+0003MULTILINESTRING ((1033349.8383999998 1757621.919399999, 1033376.1536999997 1757613.0796000008))
164881644620238602013F01Q0101E0225유학천0013+0013MULTILINESTRING ((1076026.3965999996 1723337.0373, 1076030.1900000004 1723336.0327000003, 1076034.0683000004 1723334.7360999994, 1076046.4822000004 1723330.6293000001, 1076060.2830999997 1723327.0088, 1076068.5395 1723325.8771000002, 1076089.4051 1723317.9341000002, 1076096.1474000001 1723314.1086, 1076104.6371999998 1723307.6775000002, 1076111.8589000003 1723305.048800001, 1076117.9685000004 1723302.8247999996, 1076120.0780999996 1723302.1393999998))
115331150320233102019F01Q0101E032375004+7000004+0004MULTILINESTRING ((1042993.1330000004 1727156.3125, 1042990.0982999997 1727156.6389000006, 1042976.8827 1727160.9003999997, 1042974.4912999999 1727159.5726999994, 1042971.0891000004 1727157.2791000009, 1042956.6821999997 1727156.9022000004, 1042931.8874000004 1727144.9400999993, 1042922.4247000003 1727140.5457000006, 1042917.2674000002 1727137.8697999995, 1042916.2040999997 1727137.1493999995, 1042911.3064000001 1727132.711100001, 1042907.9584999997 1727130.9879, 1042906.7575000003 1727129.8388, 1042904.1151 1727127.5160000008, 1042901.2937000003 1727126.6072000004, 1042899.4298999999 1727126.5921, 1042899.4283999996 1727126.5852000006))
250992507720247701986F01Q0101E0321신전천0016+0016MULTILINESTRING ((1056541.7576000001 1711447.2537999991, 1056497.1964999996 1711402.0110999998, 1056483.5546000004 1711386.3223))
186421859920240800000F99Q9901E0343옥산천0027+0027MULTILINESTRING ((1013829.1095000003 1740725.6632000003, 1013827.1338999998 1740726.1853, 1013818.4014999997 1740728.580600001, 1013812.1924999999 1740731.2302, 1013806.0346999997 1740732.1641000006, 1013799.5113000004 1740731.4634000007, 1013796.7029999997 1740730.6349999998))
2065205920227202017F01Q0101E0314매화천0008+0008MULTILINESTRING ((1056304.1386000002 1748730.5054000001, 1056303.2163000004 1748731.0724999998, 1056298.8869000003 1748734.0112999994, 1056298.1485000001 1748737.8895999994, 1056295.9248000002 1748741.3827, 1056293.3731000004 1748745.1282000002, 1056290.4826999996 1748749.4831000008, 1056286.6780000003 1748755.6106000002, 1056286.0783000002 1748757.4269999992))
138261378920236902010F01Q0101E0319하회천0013+0013MULTILINESTRING ((1074461.0675999997 1729952.0351999998, 1074464.3427999998 1729955.9927999992, 1074467.7539 1729959.8341000006, 1074471.296 1729963.5547000002, 1074474.9653000003 1729967.1502999999, 1074478.7569000004 1729970.6161000002, 1074482.6668999996 1729973.9485, 1074486.6900000004 1729977.1428999994, 1074490.8217000002 1729980.195699999, 1074495.057 1729983.1032999996, 1074499.3905999996 1729985.8619, 1074503.8173000002 1729988.4685999993, 1074508.3317 1729990.92, 1074512.9287999999 1729993.2131999992, 1074517.6025999999 1729995.3452000003, 1074522.3475000001 1729997.3136999998, 1074527.1579999998 1729999.1164999995, 1074528.1294999998 1729999.353599999))
5481546920230502010F01Q0101E0264당산천0038+0038MULTILINESTRING ((1030296.2763999999 1743084.8603000008, 1030296.3617000002 1743085.2807999998, 1030300.3661000002 1743086.2139999997, 1030305.0143999998 1743098.7696000002, 1030307.1686000004 1743105.1571999993))
공간아이디하천관리코드구분코드일련번호하천경계명측점번호공간정보
164741643320238502013F01Q0101E0366익구천0040+0040MULTILINESTRING ((1073620.7423 1722553.8891000003, 1073626.9622 1722559.9916999992, 1073629.8992999997 1722556.3923000004, 1073634.2422000002 1722554.1026000008))
228252278420245702012F01Q0101E0265대포천0020+0020MULTILINESTRING ((1030092.3130000001 1720042.9022000004, 1030097.3084000004 1720047.4594999999))
124901245720234302004F02Q0101E0371아천030046+0046MULTILINESTRING ((1058598.5154 1722910.3888000008, 1058611.0267000003 1722914.7664, 1058616.8272000002 1722915.3844000008, 1058625.2247000001 1722916.0001999997, 1058656.9102999996 1722917.9343999997, 1058680.0147000002 1722919.3203999996, 1058693.4139 1722925.4180999994, 1058692.6113 1722928.9701000005, 1058696.5137 1722933.1114000008))
3693368720228802004F01Q0101E02228계수천0164+0164MULTILINESTRING ((1036970.8236999996 1762238.4510999992, 1036972.3536999999 1762241.2583000008, 1036972.1319000004 1762246.0161000006, 1036969.4620000003 1762253.5746999998, 1036969.5884999996 1762255.8934000004))
124831245020234302004F02Q0101E0364아천030034+0034MULTILINESTRING ((1059673.9034000002 1722888.8871999998, 1059675.8975999998 1722890.1765, 1059678.5121 1722891.3706999999, 1059682.0997000001 1722892.1629000008, 1059684.7177 1722891.6918000001, 1059687.7783000004 1722890.6346000005, 1059690.1037999997 1722889.8552, 1059693.2567999996 1722888.0524000004, 1059698.4963999996 1722885.2750000004, 1059702.2383000003 1722883.2939, 1059705.2391999997 1722881.7629000004, 1059710.6358000003 1722879.9285000004, 1059721.5667000003 1722876.6092000008, 1059727.4078000002 1722875.1844999995, 1059732.6382999998 1722873.9957999997, 1059740.3175 1722871.6345000006, 1059743.5832000002 1722868.5446000006, 1059745.1574999997 1722867.7700999994, 1059746.2324 1722866.5909000002, 1059747.7933999998 1722864.647500001, 1059748.4846 1722862.051000001))
128691283820234800000F99Q9901E0351합천천0068+0068MULTILINESTRING ((1057808.0291999998 1734828.8471000008, 1057808.9743 1734827.257099999, 1057817.3150000004 1734809.5766000003, 1057828.0301 1734789.3630999997, 1057829.0533999996 1734785.8398000002, 1057830.7364999996 1734781.0271000005, 1057832.1338 1734773.9605999999, 1057834.5937 1734760.792199999, 1057835.5547000002 1734742.8781000003, 1057835.5805000002 1734742.8150999993))
138011376520236902010F01Q0101E0238하회천0026+0026MULTILINESTRING ((1074085.8037 1729012.1395999994, 1074086.1305999998 1729011.2073999997, 1074086.2892000005 1729008.8103, 1074086.6092999997 1729007.2076999992, 1074084.8756 1729004.0821000002, 1074086.1705999998 1728984.1722999997, 1074086.2243 1728983.3471000008, 1074088.449 1728949.1395999994, 1074088.5587 1728947.4605, 1074088.5886000004 1728947.0010000002, 1074090.131 1728928.1247000005, 1074086.5855 1728915.1623, 1074087.8540000003 1728912.8198000006))
6536652220231002019F02Q0101E02159000+2070000+0000MULTILINESTRING ((1039516.9655999998 1742443.1494999994, 1039524.0094999997 1742447.0881999992, 1039536.6831 1742453.4674999993, 1039536.6799999997 1742453.4790000003, 1039537.0718999999 1742453.6707000006, 1039552.7248 1742461.3282999992, 1039568.4296000004 1742468.795, 1039568.4872000003 1742468.8225999996, 1039568.9122000001 1742468.7761000004, 1039569.3589000003 1742469.0171000008, 1039579.8267000001 1742473.864600001, 1039581.9573999997 1742474.5978999995, 1039584.2577 1742475.1898999996, 1039584.8958999999 1742475.5475999992, 1039587.0011999998 1742476.5259000007, 1039588.3335999995 1742477.1909999996, 1039585.1201999998 1742486.5193000007, 1039587.0609999998 1742487.3728))
6198618420230802019F02Q0101E0288004+1900004+0004MULTILINESTRING ((1041992.4713000003 1745725.5073000006, 1041992.2434999999 1745725.105799999, 1041981.5776000004 1745722.5063000005))
4723471020229502008F02Q0101E02103하천경계(좌)0080+0080MULTILINESTRING ((1023251.8114 1751940.9744000006, 1023246.0721000005 1751943.7194999997, 1023231.9702000003 1751950.4644000009, 1023226.6195999999 1751954.3794999998, 1023221.2690000003 1751958.2946000006, 1023214.1984999999 1751971.6678999998, 1023203.0647999998 1751972.5505, 1023185.3756999997 1751985.1962000001, 1023176.5312000001 1751991.5190999992, 1023167.6865999997 1751997.8419000003, 1023165.6452000001 1751998.239))