Overview

Dataset statistics

Number of variables10
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory83.6 B

Variable types

Numeric2
Text3
Categorical3
DateTime2

Dataset

Description부산광역시 부산진구 관내의 민방위 비상급수시설에 대한 데이터로 시설명, 소재지, 규모, 수질등급 등 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3078948/fileData.do

Alerts

순번 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
시 설 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:22:01.590508
Analysis finished2023-12-12 08:22:03.469149
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.5
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T17:22:03.574424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median42.5
Q363.25
95-th percentile79.85
Maximum84
Range83
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation24.392622
Coefficient of variation (CV)0.57394404
Kurtosis-1.2
Mean42.5
Median Absolute Deviation (MAD)21
Skewness0
Sum3570
Variance595
MonotonicityStrictly increasing
2023-12-12T17:22:03.756266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%

관리번호
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T17:22:04.050336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters840
Distinct characters11
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

Unique82 ?
Unique (%)97.6%

Sample

1st rowE201100007
2nd rowE201100009
3rd rowE201100019
4th rowE201100021
5th rowE201900001
ValueCountFrequency (%)
e201100005 2
 
2.4%
e199500027 1
 
1.2%
e200700003 1
 
1.2%
e201400003 1
 
1.2%
e199800020 1
 
1.2%
e200800005 1
 
1.2%
e199800019 1
 
1.2%
e199600002 1
 
1.2%
e201100002 1
 
1.2%
e199500023 1
 
1.2%
Other values (73) 73
86.9%
2023-12-12T17:22:04.552955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 362
43.1%
1 133
 
15.8%
9 91
 
10.8%
E 84
 
10.0%
2 66
 
7.9%
5 31
 
3.7%
4 24
 
2.9%
3 15
 
1.8%
6 13
 
1.5%
8 12
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 756
90.0%
Uppercase Letter 84
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 362
47.9%
1 133
 
17.6%
9 91
 
12.0%
2 66
 
8.7%
5 31
 
4.1%
4 24
 
3.2%
3 15
 
2.0%
6 13
 
1.7%
8 12
 
1.6%
7 9
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
E 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
90.0%
Latin 84
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 362
47.9%
1 133
 
17.6%
9 91
 
12.0%
2 66
 
8.7%
5 31
 
4.1%
4 24
 
3.2%
3 15
 
2.0%
6 13
 
1.7%
8 12
 
1.6%
7 9
 
1.2%
Latin
ValueCountFrequency (%)
E 84
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 362
43.1%
1 133
 
15.8%
9 91
 
10.8%
E 84
 
10.0%
2 66
 
7.9%
5 31
 
3.7%
4 24
 
2.9%
3 15
 
1.8%
6 13
 
1.5%
8 12
 
1.4%

읍면동
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
부산광역시 부산진구 양정1동
8 
부산광역시 부산진구 개금3동
7 
부산광역시 부산진구 당감1동
6 
부산광역시 부산진구 부전1동
 
5
부산광역시 부산진구 연지동
 
5
Other values (14)
53 

Length

Max length15
Median length15
Mean length14.892857
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 부산진구 부전1동
2nd row부산광역시 부산진구 부전1동
3rd row부산광역시 부산진구 부전1동
4th row부산광역시 부산진구 부전1동
5th row부산광역시 부산진구 부전1동

Common Values

ValueCountFrequency (%)
부산광역시 부산진구 양정1동 8
 
9.5%
부산광역시 부산진구 개금3동 7
 
8.3%
부산광역시 부산진구 당감1동 6
 
7.1%
부산광역시 부산진구 부전1동 5
 
6.0%
부산광역시 부산진구 연지동 5
 
6.0%
부산광역시 부산진구 전포1동 5
 
6.0%
부산광역시 부산진구 전포2동 5
 
6.0%
부산광역시 부산진구 가야2동 5
 
6.0%
부산광역시 부산진구 가야1동 5
 
6.0%
부산광역시 부산진구 양정2동 4
 
4.8%
Other values (9) 29
34.5%

Length

2023-12-12T17:22:04.784429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산광역시 84
33.3%
부산진구 84
33.3%
양정1동 8
 
3.2%
개금3동 7
 
2.8%
당감1동 6
 
2.4%
전포2동 5
 
2.0%
가야2동 5
 
2.0%
가야1동 5
 
2.0%
전포1동 5
 
2.0%
연지동 5
 
2.0%
Other values (11) 38
15.1%

시 설 명
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T17:22:05.043245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length11
Mean length5.952381
Min length3

Characters and Unicode

Total characters500
Distinct characters162
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row부용온천
2nd row삼성비치타운
3rd row신평화탕
4th row동원탕
5th row수정탕
ValueCountFrequency (%)
동의대학교 2
 
2.2%
부용온천 1
 
1.1%
화승삼성아파트 1
 
1.1%
기숙사 1
 
1.1%
야구장 1
 
1.1%
361-44 1
 
1.1%
엄광로255(가야동 1
 
1.1%
가야동 1
 
1.1%
건강문화센터 1
 
1.1%
가얏골 1
 
1.1%
Other values (80) 80
87.9%
2023-12-12T17:22:05.458476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 16
 
3.2%
아 16
 
3.2%
파 16
 
3.2%
동 14
 
2.8%
탕 13
 
2.6%
학 12
 
2.4%
교 11
 
2.2%
부 10
 
2.0%
구 10
 
2.0%
산 10
 
2.0%
Other values (152) 372
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
92.8%
Decimal Number 16
 
3.2%
Space Separator 7
 
1.4%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Other Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 16
 
3.4%
아 16
 
3.4%
파 16
 
3.4%
동 14
 
3.0%
탕 13
 
2.8%
학 12
 
2.6%
교 11
 
2.4%
부 10
 
2.2%
구 10
 
2.2%
산 10
 
2.2%
Other values (138) 336
72.4%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
2 4
25.0%
4 3
18.8%
5 2
12.5%
3 2
12.5%
6 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
B 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
92.8%
Common 33
 
6.6%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 16
 
3.4%
아 16
 
3.4%
파 16
 
3.4%
동 14
 
3.0%
탕 13
 
2.8%
학 12
 
2.6%
교 11
 
2.4%
부 10
 
2.2%
구 10
 
2.2%
산 10
 
2.2%
Other values (138) 336
72.4%
Common
ValueCountFrequency (%)
7
21.2%
1 4
12.1%
2 4
12.1%
( 3
9.1%
) 3
9.1%
4 3
9.1%
. 3
9.1%
5 2
 
6.1%
3 2
 
6.1%
6 1
 
3.0%
Latin
ValueCountFrequency (%)
M 1
33.3%
B 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
92.8%
ASCII 36
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 16
 
3.4%
아 16
 
3.4%
파 16
 
3.4%
동 14
 
3.0%
탕 13
 
2.8%
학 12
 
2.6%
교 11
 
2.4%
부 10
 
2.2%
구 10
 
2.2%
산 10
 
2.2%
Other values (138) 336
72.4%
ASCII
ValueCountFrequency (%)
7
19.4%
1 4
11.1%
2 4
11.1%
( 3
8.3%
) 3
8.3%
4 3
8.3%
. 3
8.3%
5 2
 
5.6%
3 2
 
5.6%
M 1
 
2.8%
Other values (4) 4
11.1%

시설구분
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
민간시설
52 
자치단체자체시설
17 
공공시설
10 
정부지원시설
 
5

Length

Max length8
Median length4
Mean length4.9285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 52
61.9%
자치단체자체시설 17
 
20.2%
공공시설 10
 
11.9%
정부지원시설 5
 
6.0%

Length

2023-12-12T17:22:05.666430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:22:05.812907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 52
61.9%
자치단체자체시설 17
 
20.2%
공공시설 10
 
11.9%
정부지원시설 5
 
6.0%

위 치
Text

Distinct83
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T17:22:06.087735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length26.464286
Min length23

Characters and Unicode

Total characters2223
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)97.6%

Sample

1st row부산광역시 부산진구 서면문화로 48 (부전동)
2nd row부산광역시 부산진구 중앙대로756번길 18-10 (부전동)
3rd row부산광역시 부산진구 새싹로 60-1 (범전동)
4th row부산광역시 부산진구 양성로 12 (범전동)
5th row부산광역시 부산진구 부전로 193-1 (부전동)
ValueCountFrequency (%)
부산광역시 84
19.9%
부산진구 84
19.9%
개금동 13
 
3.1%
당감동 12
 
2.8%
양정동 12
 
2.8%
가야동 10
 
2.4%
전포동 10
 
2.4%
엄광로 7
 
1.7%
부암동 6
 
1.4%
부전동 6
 
1.4%
Other values (135) 178
42.2%
2023-12-12T17:22:06.633113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
 
15.2%
부 181
 
8.1%
산 170
 
7.6%
진 93
 
4.2%
광 92
 
4.1%
동 91
 
4.1%
시 85
 
3.8%
역 84
 
3.8%
구 84
 
3.8%
로 79
 
3.6%
Other values (65) 925
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
62.6%
Space Separator 339
 
15.2%
Decimal Number 318
 
14.3%
Open Punctuation 79
 
3.6%
Close Punctuation 79
 
3.6%
Dash Punctuation 16
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 181
13.0%
산 170
12.2%
진 93
 
6.7%
광 92
 
6.6%
동 91
 
6.5%
시 85
 
6.1%
역 84
 
6.0%
구 84
 
6.0%
로 79
 
5.7%
번 41
 
2.9%
Other values (50) 391
28.1%
Decimal Number
ValueCountFrequency (%)
1 59
18.6%
3 41
12.9%
2 39
12.3%
4 32
10.1%
6 32
10.1%
0 29
9.1%
5 26
8.2%
7 23
 
7.2%
9 21
 
6.6%
8 16
 
5.0%
Space Separator
ValueCountFrequency (%)
339
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1391
62.6%
Common 832
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 181
13.0%
산 170
12.2%
진 93
 
6.7%
광 92
 
6.6%
동 91
 
6.5%
시 85
 
6.1%
역 84
 
6.0%
구 84
 
6.0%
로 79
 
5.7%
번 41
 
2.9%
Other values (50) 391
28.1%
Common
ValueCountFrequency (%)
339
40.7%
( 79
 
9.5%
) 79
 
9.5%
1 59
 
7.1%
3 41
 
4.9%
2 39
 
4.7%
4 32
 
3.8%
6 32
 
3.8%
0 29
 
3.5%
5 26
 
3.1%
Other values (5) 77
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1391
62.6%
ASCII 832
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
40.7%
( 79
 
9.5%
) 79
 
9.5%
1 59
 
7.1%
3 41
 
4.9%
2 39
 
4.7%
4 32
 
3.8%
6 32
 
3.8%
0 29
 
3.5%
5 26
 
3.1%
Other values (5) 77
 
9.3%
Hangul
ValueCountFrequency (%)
부 181
13.0%
산 170
12.2%
진 93
 
6.7%
광 92
 
6.6%
동 91
 
6.5%
시 85
 
6.1%
역 84
 
6.0%
구 84
 
6.0%
로 79
 
5.7%
번 41
 
2.9%
Other values (50) 391
28.1%

규모
Real number (ℝ)

Distinct32
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.988095
Minimum10
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T17:22:06.781735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30.75
Q157.5
median90
Q3100
95-th percentile194
Maximum318
Range308
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation55.219713
Coefficient of variation (CV)0.60688943
Kurtosis5.8705537
Mean90.988095
Median Absolute Deviation (MAD)22.5
Skewness2.0004228
Sum7643
Variance3049.2167
MonotonicityNot monotonic
2023-12-12T17:22:06.939873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
100 15
17.9%
90 9
 
10.7%
80 6
 
7.1%
36 5
 
6.0%
120 5
 
6.0%
50 4
 
4.8%
70 4
 
4.8%
40 3
 
3.6%
60 3
 
3.6%
150 3
 
3.6%
Other values (22) 27
32.1%
ValueCountFrequency (%)
10 1
 
1.2%
15 2
 
2.4%
20 1
 
1.2%
30 1
 
1.2%
35 1
 
1.2%
36 5
6.0%
40 3
3.6%
45 3
3.6%
50 4
4.8%
60 3
3.6%
ValueCountFrequency (%)
318 1
 
1.2%
300 1
 
1.2%
280 1
 
1.2%
200 2
 
2.4%
160 1
 
1.2%
150 3
3.6%
140 1
 
1.2%
130 1
 
1.2%
120 5
6.0%
110 1
 
1.2%

수질등급
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
생활용수
49 
음용수
35 

Length

Max length4
Median length4
Mean length3.5833333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활용수 49
58.3%
음용수 35
41.7%

Length

2023-12-12T17:22:07.099571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:22:07.222973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 49
58.3%
음용수 35
41.7%

준공일자
Date

Distinct78
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum1979-10-15 00:00:00
Maximum2017-07-14 00:00:00
2023-12-12T17:22:07.362056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:22:07.535737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지정일자
Date

Distinct56
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum1989-04-01 00:00:00
Maximum2020-02-20 00:00:00
2023-12-12T17:22:07.710297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:22:07.899657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T17:22:02.867623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:22:02.661813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:22:02.980374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:22:02.759622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:22:08.030624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관리번호읍면동시 설 명시설구분위 치규모수질등급준공일자지정일자
순번1.0001.0000.9881.0000.3191.0000.2120.3290.7840.674
관리번호1.0001.0000.9091.0001.0000.9990.9821.0000.9980.999
읍면동0.9880.9091.0001.0000.3901.0000.2700.1610.0000.733
시 설 명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설구분0.3191.0000.3901.0001.0001.0000.6310.2220.9640.963
위 치1.0000.9991.0001.0001.0001.0000.0001.0000.9980.975
규모0.2120.9820.2701.0000.6310.0001.0000.2120.9670.982
수질등급0.3291.0000.1611.0000.2221.0000.2121.0000.0000.775
준공일자0.7840.9980.0001.0000.9640.9980.9670.0001.0000.996
지정일자0.6740.9990.7331.0000.9630.9750.9820.7750.9961.000
2023-12-12T17:22:08.209503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분수질등급읍면동
시설구분1.0000.1440.195
수질등급0.1441.0000.117
읍면동0.1950.1171.000
2023-12-12T17:22:08.334566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번규모읍면동시설구분수질등급
순번1.000-0.2310.8680.1840.237
규모-0.2311.0000.0940.3140.150
읍면동0.8680.0941.0000.1950.117
시설구분0.1840.3140.1951.0000.144
수질등급0.2370.1500.1170.1441.000

Missing values

2023-12-12T17:22:03.163991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:22:03.386282image/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

순번관리번호읍면동시 설 명시설구분위 치규모수질등급준공일자지정일자
01E201100007부산광역시 부산진구 부전1동부용온천민간시설부산광역시 부산진구 서면문화로 48 (부전동)130생활용수2007-01-042011-04-01
12E201100009부산광역시 부산진구 부전1동삼성비치타운민간시설부산광역시 부산진구 중앙대로756번길 18-10 (부전동)80생활용수2004-11-162011-04-01
23E201100019부산광역시 부산진구 부전1동신평화탕민간시설부산광역시 부산진구 새싹로 60-1 (범전동)96생활용수1997-01-202011-03-23
34E201100021부산광역시 부산진구 부전1동동원탕민간시설부산광역시 부산진구 양성로 12 (범전동)90생활용수2007-07-102011-03-23
45E201900001부산광역시 부산진구 부전1동수정탕민간시설부산광역시 부산진구 부전로 193-1 (부전동)60생활용수1986-10-302019-04-16
56E200800006부산광역시 부산진구 부전2동(주)부산롯데호텔민간시설부산광역시 부산진구 가야대로 772 (부전동)140생활용수1994-10-272008-12-16
67E201400015부산광역시 부산진구 부전2동비즈모텔민간시설부산광역시 부산진구 중앙대로 691번가길 24-15 (부전동)90생활용수1987-10-192014-10-22
78E201400016부산광역시 부산진구 부전2동성광빌딩민간시설부산광역시 부산진구 동천로 63 (부전동)90생활용수1983-06-082014-10-22
89E199500019부산광역시 부산진구 연지동연지초등학교자치단체자체시설부산광역시 부산진구 연지로 29 (연지동)120생활용수1995-04-201995-04-20
910E199500015부산광역시 부산진구 연지동한신타워아파트민간시설부산광역시 부산진구 성지로61번길 30 (연지동)80음용수1994-01-141995-03-03
순번관리번호읍면동시 설 명시설구분위 치규모수질등급준공일자지정일자
7475E199200004부산광역시 부산진구 개금3동주공2단지민간시설부산광역시 부산진구 백양관문로 7 (개금동)80음용수1988-06-011992-10-01
7576E199500004부산광역시 부산진구 개금3동현대아파트민간시설부산광역시 부산진구 개금본동로 34 (개금동)100음용수1992-10-011995-01-02
7677E199500006부산광역시 부산진구 개금3동도개공아파트민간시설부산광역시 부산진구 백양관문로77번길 145 (개금동)90음용수1995-01-011995-01-02
7778E200600006부산광역시 부산진구 개금3동주공1단지민간시설부산광역시 부산진구 백양대로208번길 25 (개금동)36음용수1993-03-272006-01-19
7879E201400008부산광역시 부산진구 개금3동개금성도빌라B동민간시설부산광역시 부산진구 개금본동로22번길24 (개금동)70생활용수1992-12-152014-07-14
7980E201400013부산광역시 부산진구 개금3동개림초등학교공공시설부산광역시 부산진구 백양대로 320번길 40 (개금동)90생활용수1997-11-032014-10-22
8081E201100010부산광역시 부산진구 범천2동필우탕민간시설부산광역시 부산진구 신암로83번길 36 (범천동)35생활용수1988-10-132011-03-23
8182E201100011부산광역시 부산진구 범천2동양지탕민간시설부산광역시 부산진구 신암로135번가길 13 (범천동)36생활용수1991-04-032011-03-23
8283E201100012부산광역시 부산진구 범천2동로얄타운아파트민간시설부산광역시 부산진구 엄광로 394-1 (범천동)45음용수1981-12-072011-03-23
8384E201100013부산광역시 부산진구 범천2동본원사민간시설부산광역시 부산진구 엄광로 363 (범천동)60생활용수1982-07-052011-03-23