Overview

Dataset statistics

Number of variables10
Number of observations28
Missing cells36
Missing cells (%)12.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory86.7 B

Variable types

Numeric2
Categorical2
Text3
DateTime3

Dataset

Description부산광역시_수영구_하천점용현황_20230713
Author부산광역시 수영구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15027014

Alerts

유형 has constant value ""Constant
하천명 has constant value ""Constant
연장신청일 has 25 (89.3%) missing valuesMissing
점용종료일 has 11 (39.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:33:57.331848
Analysis finished2023-12-10 16:33:58.209936
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.285714
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:33:58.270209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q18.75
median15.5
Q322.25
95-th percentile27.65
Maximum29
Range28
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.5281979
Coefficient of variation (CV)0.55791949
Kurtosis-1.1634341
Mean15.285714
Median Absolute Deviation (MAD)7
Skewness-0.07535572
Sum428
Variance72.730159
MonotonicityStrictly increasing
2023-12-11T01:33:58.375650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
17 1
 
3.6%
29 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
11 1
3.6%
ValueCountFrequency (%)
29 1
3.6%
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
국가하천
28 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국가하천 28
100.0%

Length

2023-12-11T01:33:58.468179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:33:58.537258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가하천 28
100.0%

하천명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
수영강
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수영강 28
100.0%

Length

2023-12-11T01:33:58.608933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:33:58.677744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영강 28
100.0%

소재지
Text

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:33:58.794986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length35.5
Mean length23.25
Min length17

Characters and Unicode

Total characters651
Distinct characters30
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

Unique15 ?
Unique (%)53.6%

Sample

1st row부산광역시 수영구 수영동 547번지
2nd row부산광역시 수영구 망미동 68-2번지
3rd row부산광역시 수영구 수영동 431-24번지
4th row부산광역시 수영구 망미동 985번지
5th row부산광역시 수영구 수영동 551번지
ValueCountFrequency (%)
부산광역시 28
19.6%
수영구 28
19.6%
수영동 20
14.0%
망미동 15
10.5%
일원 11
 
7.7%
547 5
 
3.5%
및 4
 
2.8%
547번지 4
 
2.8%
431-24번지 3
 
2.1%
외 2
 
1.4%
Other values (22) 23
16.1%
2023-12-11T01:33:59.054492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
17.7%
수 50
 
7.7%
영 50
 
7.7%
동 37
 
5.7%
부 29
 
4.5%
광 28
 
4.3%
역 28
 
4.3%
시 28
 
4.3%
구 28
 
4.3%
산 28
 
4.3%
Other values (20) 230
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
61.9%
Decimal Number 120
 
18.4%
Space Separator 115
 
17.7%
Dash Punctuation 13
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 50
12.4%
영 50
12.4%
동 37
9.2%
부 29
 
7.2%
광 28
 
6.9%
역 28
 
6.9%
시 28
 
6.9%
구 28
 
6.9%
산 28
 
6.9%
지 19
 
4.7%
Other values (8) 78
19.4%
Decimal Number
ValueCountFrequency (%)
1 24
20.0%
5 23
19.2%
4 21
17.5%
7 12
10.0%
2 9
 
7.5%
0 8
 
6.7%
6 7
 
5.8%
3 7
 
5.8%
8 6
 
5.0%
9 3
 
2.5%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
61.9%
Common 248
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 50
12.4%
영 50
12.4%
동 37
9.2%
부 29
 
7.2%
광 28
 
6.9%
역 28
 
6.9%
시 28
 
6.9%
구 28
 
6.9%
산 28
 
6.9%
지 19
 
4.7%
Other values (8) 78
19.4%
Common
ValueCountFrequency (%)
115
46.4%
1 24
 
9.7%
5 23
 
9.3%
4 21
 
8.5%
- 13
 
5.2%
7 12
 
4.8%
2 9
 
3.6%
0 8
 
3.2%
6 7
 
2.8%
3 7
 
2.8%
Other values (2) 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
61.9%
ASCII 248
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
46.4%
1 24
 
9.7%
5 23
 
9.3%
4 21
 
8.5%
- 13
 
5.2%
7 12
 
4.8%
2 9
 
3.6%
0 8
 
3.2%
6 7
 
2.8%
3 7
 
2.8%
Other values (2) 9
 
3.6%
Hangul
ValueCountFrequency (%)
수 50
12.4%
영 50
12.4%
동 37
9.2%
부 29
 
7.2%
광 28
 
6.9%
역 28
 
6.9%
시 28
 
6.9%
구 28
 
6.9%
산 28
 
6.9%
지 19
 
4.7%
Other values (8) 78
19.4%

점용자
Text

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:33:59.210727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length12.571429
Min length6

Characters and Unicode

Total characters352
Distinct characters75
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)46.4%

Sample

1st row한전부산본부 송변전사업처
2nd rowSK텔레콤 부산network구축팀
3rd row수영구청장(건설과)
4th row수영구청장(자원순환과)
5th row수영구청장(문화공보과)
ValueCountFrequency (%)
수영구청장(건설과 8
23.5%
수영구청장(문화공보과 3
 
8.8%
부산광역시 2
 
5.9%
부산관광공사(관광콘텐츠팀 2
 
5.9%
수영구청장(창조도시교육추진단 2
 
5.9%
상수도사업본부 2
 
5.9%
수영구청장(총무과 1
 
2.9%
부산광역시(걷기좋은부산추진단 1
 
2.9%
수영구청장(문화관광과 1
 
2.9%
부산환경공단 1
 
2.9%
Other values (11) 11
32.4%
2023-12-11T01:33:59.512206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 23
 
6.5%
) 23
 
6.5%
수 22
 
6.2%
구 21
 
6.0%
영 20
 
5.7%
장 20
 
5.7%
청 20
 
5.7%
과 18
 
5.1%
부 13
 
3.7%
설 9
 
2.6%
Other values (65) 163
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
82.7%
Open Punctuation 23
 
6.5%
Close Punctuation 23
 
6.5%
Lowercase Letter 7
 
2.0%
Space Separator 6
 
1.7%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 22
 
7.6%
구 21
 
7.2%
영 20
 
6.9%
장 20
 
6.9%
청 20
 
6.9%
과 18
 
6.2%
부 13
 
4.5%
설 9
 
3.1%
산 9
 
3.1%
건 8
 
2.7%
Other values (53) 131
45.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
14.3%
k 1
14.3%
w 1
14.3%
o 1
14.3%
t 1
14.3%
e 1
14.3%
n 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
82.7%
Common 52
 
14.8%
Latin 9
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 22
 
7.6%
구 21
 
7.2%
영 20
 
6.9%
장 20
 
6.9%
청 20
 
6.9%
과 18
 
6.2%
부 13
 
4.5%
설 9
 
3.1%
산 9
 
3.1%
건 8
 
2.7%
Other values (53) 131
45.0%
Latin
ValueCountFrequency (%)
r 1
11.1%
k 1
11.1%
w 1
11.1%
o 1
11.1%
t 1
11.1%
e 1
11.1%
S 1
11.1%
K 1
11.1%
n 1
11.1%
Common
ValueCountFrequency (%)
( 23
44.2%
) 23
44.2%
6
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
82.7%
ASCII 61
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 23
37.7%
) 23
37.7%
6
 
9.8%
r 1
 
1.6%
k 1
 
1.6%
w 1
 
1.6%
o 1
 
1.6%
t 1
 
1.6%
e 1
 
1.6%
S 1
 
1.6%
Other values (2) 2
 
3.3%
Hangul
ValueCountFrequency (%)
수 22
 
7.6%
구 21
 
7.2%
영 20
 
6.9%
장 20
 
6.9%
청 20
 
6.9%
과 18
 
6.2%
부 13
 
4.5%
설 9
 
3.1%
산 9
 
3.1%
건 8
 
2.7%
Other values (53) 131
45.0%

면적(제곱미터)
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3092.4386
Minimum0.8
Maximum33240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T01:33:59.615545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1
Q16.9375
median49.15
Q3551.25
95-th percentile24773.5
Maximum33240
Range33239.2
Interquartile range (IQR)544.3125

Descriptive statistics

Standard deviation8716.8811
Coefficient of variation (CV)2.8187726
Kurtosis9.8991362
Mean3092.4386
Median Absolute Deviation (MAD)48.15
Skewness3.2774518
Sum86588.28
Variance75984016
MonotonicityNot monotonic
2023-12-11T01:33:59.715214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.0 3
 
10.7%
33240.0 2
 
7.1%
515.0 1
 
3.6%
3970.0 1
 
3.6%
1.5 1
 
3.6%
3.75 1
 
3.6%
19.24 1
 
3.6%
381.0 1
 
3.6%
162.0 1
 
3.6%
418.0 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
0.8 1
 
3.6%
1.0 3
10.7%
1.5 1
 
3.6%
2.24 1
 
3.6%
3.75 1
 
3.6%
8.0 1
 
3.6%
12.0 1
 
3.6%
12.45 1
 
3.6%
16.0 1
 
3.6%
19.24 1
 
3.6%
ValueCountFrequency (%)
33240.0 2
7.1%
9050.0 1
3.6%
3970.0 1
3.6%
2917.0 1
3.6%
1500.0 1
3.6%
660.0 1
3.6%
515.0 1
3.6%
418.0 1
3.6%
381.0 1
3.6%
244.0 1
3.6%

용도
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T01:33:59.891844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length9.8928571
Min length3

Characters and Unicode

Total characters277
Distinct characters102
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row일반공작물(공동구)
2nd row통신용전주
3rd row시계탑
4th row모바일 화장실
5th row해양레포츠 교육장비 적재 및 승하선장
ValueCountFrequency (%)
설치 12
 
16.4%
및 6
 
8.2%
2023 2
 
2.7%
빛나는 2
 
2.7%
밤 2
 
2.7%
led 2
 
2.7%
카약 2
 
2.7%
체험 2
 
2.7%
상수도관 2
 
2.7%
조형작품설치 2
 
2.7%
Other values (38) 39
53.4%
2023-12-11T01:34:00.207680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
17.0%
설 18
 
6.5%
치 17
 
6.1%
수 10
 
3.6%
및 6
 
2.2%
2 5
 
1.8%
장 5
 
1.8%
작 5
 
1.8%
관 5
 
1.8%
전 4
 
1.4%
Other values (92) 155
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
74.7%
Space Separator 47
 
17.0%
Decimal Number 11
 
4.0%
Uppercase Letter 10
 
3.6%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 18
 
8.7%
치 17
 
8.2%
수 10
 
4.8%
및 6
 
2.9%
장 5
 
2.4%
작 5
 
2.4%
관 5
 
2.4%
전 4
 
1.9%
대 4
 
1.9%
공 4
 
1.9%
Other values (78) 129
62.3%
Uppercase Letter
ValueCountFrequency (%)
L 2
20.0%
C 2
20.0%
D 2
20.0%
E 2
20.0%
T 1
10.0%
V 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
0 2
 
18.2%
3 2
 
18.2%
1 1
 
9.1%
4 1
 
9.1%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
74.7%
Common 60
 
21.7%
Latin 10
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 18
 
8.7%
치 17
 
8.2%
수 10
 
4.8%
및 6
 
2.9%
장 5
 
2.4%
작 5
 
2.4%
관 5
 
2.4%
전 4
 
1.9%
대 4
 
1.9%
공 4
 
1.9%
Other values (78) 129
62.3%
Common
ValueCountFrequency (%)
47
78.3%
2 5
 
8.3%
0 2
 
3.3%
3 2
 
3.3%
) 1
 
1.7%
1 1
 
1.7%
( 1
 
1.7%
4 1
 
1.7%
Latin
ValueCountFrequency (%)
L 2
20.0%
C 2
20.0%
D 2
20.0%
E 2
20.0%
T 1
10.0%
V 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
74.7%
ASCII 70
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
67.1%
2 5
 
7.1%
0 2
 
2.9%
L 2
 
2.9%
C 2
 
2.9%
D 2
 
2.9%
3 2
 
2.9%
E 2
 
2.9%
) 1
 
1.4%
1 1
 
1.4%
Other values (4) 4
 
5.7%
Hangul
ValueCountFrequency (%)
설 18
 
8.7%
치 17
 
8.2%
수 10
 
4.8%
및 6
 
2.9%
장 5
 
2.4%
작 5
 
2.4%
관 5
 
2.4%
전 4
 
1.9%
대 4
 
1.9%
공 4
 
1.9%
Other values (78) 129
62.3%

점용시작일
Date

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2012-12-01 00:00:00
Maximum2023-09-21 00:00:00
2023-12-11T01:34:00.308571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:34:00.488817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

연장신청일
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing25
Missing (%)89.3%
Memory size356.0 B
Minimum2017-12-01 00:00:00
Maximum2020-06-09 00:00:00
2023-12-11T01:34:00.596986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:34:00.706194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

점용종료일
Date

MISSING 

Distinct12
Distinct (%)70.6%
Missing11
Missing (%)39.3%
Memory size356.0 B
Minimum2022-11-30 00:00:00
Maximum2028-03-30 00:00:00
2023-12-11T01:34:00.806910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:34:01.161915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

Interactions

2023-12-11T01:33:57.807591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:33:57.667683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:33:57.879504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:33:57.734192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:34:01.252093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지점용자면적(제곱미터)용도점용시작일연장신청일점용종료일
연번1.0000.8360.6700.6061.0000.6851.0000.893
소재지0.8361.0000.8270.9341.0000.8991.0000.894
점용자0.6700.8271.0000.7600.9450.7691.0000.000
면적(제곱미터)0.6060.9340.7601.0001.0000.732NaN1.000
용도1.0001.0000.9451.0001.0000.9451.0000.830
점용시작일0.6850.8990.7690.7320.9451.0001.0001.000
연장신청일1.0001.0001.000NaN1.0001.0001.0000.000
점용종료일0.8930.8940.0001.0000.8301.0000.0001.000
2023-12-11T01:34:01.370194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.0000.371
면적(제곱미터)0.3711.000

Missing values

2023-12-11T01:33:57.976520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:33:58.086675image/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.
2023-12-11T01:33:58.162209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번유형하천명소재지점용자면적(제곱미터)용도점용시작일연장신청일점용종료일
01국가하천수영강부산광역시 수영구 수영동 547번지한전부산본부 송변전사업처515.0일반공작물(공동구)2013-01-01<NA><NA>
12국가하천수영강부산광역시 수영구 망미동 68-2번지SK텔레콤 부산network구축팀1.0통신용전주2012-12-012017-12-012022-11-30
23국가하천수영강부산광역시 수영구 수영동 431-24번지수영구청장(건설과)1.0시계탑2013-01-292018-01-28<NA>
34국가하천수영강부산광역시 수영구 망미동 985번지수영구청장(자원순환과)50.0모바일 화장실2013-06-17<NA><NA>
45국가하천수영강부산광역시 수영구 수영동 551번지수영구청장(문화공보과)660.0해양레포츠 교육장비 적재 및 승하선장2014-06-102020-06-092026-03-31
56국가하천수영강부산광역시 수영구 수영동 550번지 일부수영구청장(문화공보과)8.0조형작품설치 2번2023-01-16<NA>2028-03-30
68국가하천수영강부산광역시 수영구 망미동 1147번지 외 7필지수영구청장(안전관리과)12.0생활안전 및 방범 CCTV 설치2018-07-23<NA>2023-09-30
79국가하천수영강부산광역시 수영구 수영동 431-24번지수영구청장(건설과)1.0음수대설치2018-10-19<NA>2023-10-18
810국가하천수영강부산광역시 수영구 수영동 431-24번지수영구청장(문화공보과)2.24조형작품설치 4번2019-02-27<NA>2024-02-26
911국가하천수영강부산광역시 수영구 수영동547번지 일원수영구청장(창조도시교육추진단)16.0공작물설치2019-04-19<NA>2024-04-18
연번유형하천명소재지점용자면적(제곱미터)용도점용시작일연장신청일점용종료일
1820국가하천수영강부산광역시 수영구 수영동 547 일원수영구청장(창조도시교육추진단)1500.0야간경관공작물 설치2019-12-23<NA>2023-12-31
1921국가하천수영강부산광역시 수영구 수영동 547 일원부산광역시 상수도사업본부 남부사업소418.0상수도관 설치2019-12-23<NA><NA>
2022국가하천수영강부산광역시 수영구 수영동 547 일원부산광역시 상수도사업본부 시설관리사무소162.0상수도관 설치2019-12-23<NA><NA>
2123국가하천수영강부산광역시 수영구 수영동 547 일원수영구청장(건설과)381.0하수도관 설치2019-12-23<NA><NA>
2224국가하천수영강부산광역시 수영구 망미동 1090-2번지부산환경공단19.24하수처리장 방류수로2019-12-27<NA><NA>
2325국가하천수영강부산광역시 수영구 수영동 546번지 일원수영구청장(문화관광과)3.75이동식화장실 설치2022-06-22<NA>2027-06-30
2426국가하천수영강부산광역시 수영구 547번지 및 망미동 183-3번지 일원수영구청장(건설과)1.5국가하천 표지판 및 안내표지판 설치2022-11-16<NA>2027-12-31
2527국가하천수영강부산광역시 수영구 수영동 551번지 외 5필지부산광역시(걷기좋은부산추진단)3970.0보도교 설치2022-12-30<NA><NA>
2628국가하천수영강부산광역시 수영구 수영동 547번지부산관광공사(관광콘텐츠팀)33240.02023 별이 빛나는 밤 LED 카약 체험2023-06-15<NA>2023-06-19
2729국가하천수영강부산광역시 수영구 수영동 547번지부산관광공사(관광콘텐츠팀)33240.02023 별이 빛나는 밤 LED 카약 체험2023-09-21<NA>2023-09-24