Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells32
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory87.1 B

Variable types

Numeric2
Categorical2
Text3
DateTime3

Dataset

Description관내 하천점용현황에 대한 데이터로 점용 유형, 하천명, 소재지, 점용자, 면적, 용도, 점용시작일, 점용신청일, 점용종료일 등의 항목을 제공합니다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/15027014/fileData.do

Alerts

유형 has constant value ""Constant
하천명 has constant value ""Constant
연장신청일 has 21 (80.8%) missing valuesMissing
점용종료일 has 11 (42.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:58:48.052395
Analysis finished2023-12-12 03:58:49.584557
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.269231
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T12:58:49.686231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q18.25
median14.5
Q320.75
95-th percentile25.75
Maximum27
Range26
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.9677234
Coefficient of variation (CV)0.55838492
Kurtosis-1.1694688
Mean14.269231
Median Absolute Deviation (MAD)6.5
Skewness-0.080477364
Sum371
Variance63.484615
MonotonicityStrictly increasing
2023-12-12T12:58:49.888505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
16 1
 
3.8%
27 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
11 1
3.8%
ValueCountFrequency (%)
27 1
3.8%
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
국가하천
26 

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 26
100.0%

Length

2023-12-12T12:58:50.056039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:58:50.191438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가하천 26
100.0%

하천명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
수영강
26 

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 26
100.0%

Length

2023-12-12T12:58:50.320384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:58:50.459383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영강 26
100.0%

소재지
Text

Distinct19
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T12:58:50.660417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39
Mean length23.423077
Min length17

Characters and Unicode

Total characters609
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

Unique16 ?
Unique (%)61.5%

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 26
19.4%
수영구 25
18.7%
수영동 18
13.4%
망미동 15
11.2%
일원 11
8.2%
547 5
 
3.7%
및 4
 
3.0%
431-24번지 3
 
2.2%
551번지 2
 
1.5%
외 2
 
1.5%
Other values (22) 23
17.2%
2023-12-12T12:58:51.460323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
17.7%
영 45
 
7.4%
수 45
 
7.4%
동 35
 
5.7%
부 27
 
4.4%
시 26
 
4.3%
역 26
 
4.3%
광 26
 
4.3%
산 26
 
4.3%
구 25
 
4.1%
Other values (20) 220
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
61.4%
Decimal Number 114
 
18.7%
Space Separator 108
 
17.7%
Dash Punctuation 13
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 45
12.0%
수 45
12.0%
동 35
9.4%
부 27
 
7.2%
시 26
 
7.0%
역 26
 
7.0%
광 26
 
7.0%
산 26
 
7.0%
구 25
 
6.7%
지 17
 
4.5%
Other values (8) 76
20.3%
Decimal Number
ValueCountFrequency (%)
1 24
21.1%
5 21
18.4%
4 19
16.7%
7 10
8.8%
2 9
 
7.9%
0 8
 
7.0%
3 7
 
6.1%
6 7
 
6.1%
8 6
 
5.3%
9 3
 
2.6%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
61.4%
Common 235
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 45
12.0%
수 45
12.0%
동 35
9.4%
부 27
 
7.2%
시 26
 
7.0%
역 26
 
7.0%
광 26
 
7.0%
산 26
 
7.0%
구 25
 
6.7%
지 17
 
4.5%
Other values (8) 76
20.3%
Common
ValueCountFrequency (%)
108
46.0%
1 24
 
10.2%
5 21
 
8.9%
4 19
 
8.1%
- 13
 
5.5%
7 10
 
4.3%
2 9
 
3.8%
0 8
 
3.4%
3 7
 
3.0%
6 7
 
3.0%
Other values (2) 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
61.4%
ASCII 235
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
46.0%
1 24
 
10.2%
5 21
 
8.9%
4 19
 
8.1%
- 13
 
5.5%
7 10
 
4.3%
2 9
 
3.8%
0 8
 
3.4%
3 7
 
3.0%
6 7
 
3.0%
Other values (2) 9
 
3.8%
Hangul
ValueCountFrequency (%)
영 45
12.0%
수 45
12.0%
동 35
9.4%
부 27
 
7.2%
시 26
 
7.0%
역 26
 
7.0%
광 26
 
7.0%
산 26
 
7.0%
구 25
 
6.7%
지 17
 
4.5%
Other values (8) 76
20.3%

점용자
Text

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T12:58:51.724316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length12.461538
Min length6

Characters and Unicode

Total characters324
Distinct characters72
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 (%)50.0%

Sample

1st row한전부산본부 송변전사업처
2nd rowSK텔레콤 부산network구축팀
3rd row수영구청장(건설과)
4th row수영구청장(자원순환과)
5th row수영구청장(문화공보과)
ValueCountFrequency (%)
수영구청장(건설과 8
25.0%
수영구청장(문화공보과 3
 
9.4%
수영구청장(창조도시교육추진단 2
 
6.2%
상수도사업본부 2
 
6.2%
부산광역시 2
 
6.2%
수영구청장(도시관리과 1
 
3.1%
수영구청장(문화관광과 1
 
3.1%
부산환경공단 1
 
3.1%
시설관리사무소 1
 
3.1%
남부사업소 1
 
3.1%
Other values (10) 10
31.2%
2023-12-12T12:58:52.138119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 22
 
6.8%
구 21
 
6.5%
( 21
 
6.5%
) 21
 
6.5%
청 20
 
6.2%
장 20
 
6.2%
영 20
 
6.2%
과 18
 
5.6%
부 11
 
3.4%
설 9
 
2.8%
Other values (62) 141
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
82.4%
Open Punctuation 21
 
6.5%
Close Punctuation 21
 
6.5%
Lowercase Letter 7
 
2.2%
Space Separator 6
 
1.9%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 22
 
8.2%
구 21
 
7.9%
청 20
 
7.5%
장 20
 
7.5%
영 20
 
7.5%
과 18
 
6.7%
부 11
 
4.1%
설 9
 
3.4%
건 8
 
3.0%
시 7
 
2.6%
Other values (50) 111
41.6%
Lowercase Letter
ValueCountFrequency (%)
n 1
14.3%
e 1
14.3%
t 1
14.3%
w 1
14.3%
o 1
14.3%
r 1
14.3%
k 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
82.4%
Common 48
 
14.8%
Latin 9
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 22
 
8.2%
구 21
 
7.9%
청 20
 
7.5%
장 20
 
7.5%
영 20
 
7.5%
과 18
 
6.7%
부 11
 
4.1%
설 9
 
3.4%
건 8
 
3.0%
시 7
 
2.6%
Other values (50) 111
41.6%
Latin
ValueCountFrequency (%)
S 1
11.1%
K 1
11.1%
n 1
11.1%
e 1
11.1%
t 1
11.1%
w 1
11.1%
o 1
11.1%
r 1
11.1%
k 1
11.1%
Common
ValueCountFrequency (%)
( 21
43.8%
) 21
43.8%
6
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
82.4%
ASCII 57
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 22
 
8.2%
구 21
 
7.9%
청 20
 
7.5%
장 20
 
7.5%
영 20
 
7.5%
과 18
 
6.7%
부 11
 
4.1%
설 9
 
3.4%
건 8
 
3.0%
시 7
 
2.6%
Other values (50) 111
41.6%
ASCII
ValueCountFrequency (%)
( 21
36.8%
) 21
36.8%
6
 
10.5%
S 1
 
1.8%
K 1
 
1.8%
n 1
 
1.8%
e 1
 
1.8%
t 1
 
1.8%
w 1
 
1.8%
o 1
 
1.8%
Other values (2) 2
 
3.5%

면적(제곱미터)
Real number (ℝ)

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean773.39538
Minimum0.8
Maximum9050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T12:58:52.283575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1
Q14.8125
median41.15
Q3408.75
95-th percentile3706.75
Maximum9050
Range9049.2
Interquartile range (IQR)403.9375

Descriptive statistics

Standard deviation1938.9743
Coefficient of variation (CV)2.5070932
Kurtosis13.963814
Mean773.39538
Median Absolute Deviation (MAD)40.15
Skewness3.581203
Sum20108.28
Variance3759621.2
MonotonicityNot monotonic
2023-12-12T12:58:52.425121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.0 3
 
11.5%
515.0 1
 
3.8%
48.3 1
 
3.8%
3970.0 1
 
3.8%
1.5 1
 
3.8%
3.75 1
 
3.8%
19.24 1
 
3.8%
381.0 1
 
3.8%
162.0 1
 
3.8%
418.0 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
0.8 1
 
3.8%
1.0 3
11.5%
1.5 1
 
3.8%
2.24 1
 
3.8%
3.75 1
 
3.8%
8.0 1
 
3.8%
12.0 1
 
3.8%
12.45 1
 
3.8%
16.0 1
 
3.8%
19.24 1
 
3.8%
ValueCountFrequency (%)
9050.0 1
3.8%
3970.0 1
3.8%
2917.0 1
3.8%
1500.0 1
3.8%
660.0 1
3.8%
515.0 1
3.8%
418.0 1
3.8%
381.0 1
3.8%
244.0 1
3.8%
162.0 1
3.8%

용도
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T12:58:52.677160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.8846154
Min length3

Characters and Unicode

Total characters231
Distinct characters89
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 (%)92.3%

Sample

1st row일반공작물(공동구)
2nd row통신용전주
3rd row시계탑
4th row모바일 화장실
5th row해양레포츠 교육장비 적재 및 승하선장
ValueCountFrequency (%)
설치 12
 
20.3%
및 6
 
10.2%
상수도관 2
 
3.4%
조형작품설치 2
 
3.4%
표지판 1
 
1.7%
국가하천 1
 
1.7%
수영1호교 1
 
1.7%
음수대 1
 
1.7%
안내표지 1
 
1.7%
자전거 1
 
1.7%
Other values (31) 31
52.5%
2023-12-12T12:58:53.092426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
15.2%
설 18
 
7.8%
치 17
 
7.4%
수 10
 
4.3%
및 6
 
2.6%
작 5
 
2.2%
장 5
 
2.2%
관 5
 
2.2%
공 4
 
1.7%
대 4
 
1.7%
Other values (79) 122
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
81.0%
Space Separator 35
 
15.2%
Uppercase Letter 4
 
1.7%
Decimal Number 3
 
1.3%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 18
 
9.6%
치 17
 
9.1%
수 10
 
5.3%
및 6
 
3.2%
작 5
 
2.7%
장 5
 
2.7%
관 5
 
2.7%
공 4
 
2.1%
대 4
 
2.1%
하 4
 
2.1%
Other values (70) 109
58.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
81.0%
Common 40
 
17.3%
Latin 4
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 18
 
9.6%
치 17
 
9.1%
수 10
 
5.3%
및 6
 
3.2%
작 5
 
2.7%
장 5
 
2.7%
관 5
 
2.7%
공 4
 
2.1%
대 4
 
2.1%
하 4
 
2.1%
Other values (70) 109
58.3%
Common
ValueCountFrequency (%)
35
87.5%
) 1
 
2.5%
1 1
 
2.5%
( 1
 
2.5%
2 1
 
2.5%
4 1
 
2.5%
Latin
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
81.0%
ASCII 44
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
79.5%
C 2
 
4.5%
) 1
 
2.3%
1 1
 
2.3%
( 1
 
2.3%
T 1
 
2.3%
2 1
 
2.3%
V 1
 
2.3%
4 1
 
2.3%
Hangul
ValueCountFrequency (%)
설 18
 
9.6%
치 17
 
9.1%
수 10
 
5.3%
및 6
 
3.2%
작 5
 
2.7%
장 5
 
2.7%
관 5
 
2.7%
공 4
 
2.1%
대 4
 
2.1%
하 4
 
2.1%
Other values (70) 109
58.3%

점용시작일
Date

Distinct15
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2012-12-01 00:00:00
Maximum2023-01-16 00:00:00
2023-12-12T12:58:53.208938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:58:53.314784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

연장신청일
Date

MISSING 

Distinct4
Distinct (%)80.0%
Missing21
Missing (%)80.8%
Memory size340.0 B
Minimum2017-12-01 00:00:00
Maximum2023-10-04 00:00:00
2023-12-12T12:58:53.424704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:58:53.543040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

점용종료일
Date

MISSING 

Distinct10
Distinct (%)66.7%
Missing11
Missing (%)42.3%
Memory size340.0 B
Minimum2022-11-30 00:00:00
Maximum2028-10-18 00:00:00
2023-12-12T12:58:53.689662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:58:53.819013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

Interactions

2023-12-12T12:58:48.765558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:58:48.519792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:58:48.890625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:58:48.650094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:58:53.946374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지점용자면적(제곱미터)용도점용시작일연장신청일점용종료일
연번1.0000.8790.7100.5500.9160.6710.7710.493
소재지0.8791.0000.8380.0001.0000.9550.9130.935
점용자0.7100.8381.0000.0000.7890.7030.9130.000
면적(제곱미터)0.5500.0000.0001.0001.0000.000NaN0.000
용도0.9161.0000.7891.0001.0001.0001.0001.000
점용시작일0.6710.9550.7030.0001.0001.0001.0001.000
연장신청일0.7710.9130.913NaN1.0001.0001.0001.000
점용종료일0.4930.9350.0000.0001.0001.0001.0001.000
2023-12-12T12:58:54.099128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적(제곱미터)
연번1.0000.214
면적(제곱미터)0.2141.000

Missing values

2023-12-12T12:58:49.084061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:58:49.324005image/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.
2023-12-12T12:58:49.498178image/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 설치2018-07-232023-10-042028-09-30
79국가하천수영강부산광역시 수영구 수영동 431-24번지수영구청장(건설과)1.0음수대설치2018-10-192023-10-042028-10-18
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
1618국가하천수영강부산광역시 수영구 수영동 및 망미동 일원수영구청장(도시관리과)12.45조명 및 가로등 설치2019-12-23<NA>2023-12-31
1719국가하천수영강부산광역시 수영구 망미동 1082-2 일원수영구청장(총무과)80.0체육시설 설치2019-12-23<NA>2023-12-31
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 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>