Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory73.3 B

Variable types

Text3
Numeric3
Categorical2

Dataset

Description부산광역시 부산진구 관내 행정기관 현황(기관명, 주소, 위경도, 대표전화번호 정보 등-부산진구청 및 동 주민센터 포함)
URLhttps://www.data.go.kr/data/15065168/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구군명 has constant value ""Constant
위도 is highly overall correlated with 우편번호High correlation
우편번호 is highly overall correlated with 위도High correlation
행정공공기관명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
우편번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:57:30.476347
Analysis finished2023-12-12 05:57:31.982783
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정공공기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:57:32.125993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length4.2380952
Min length3

Characters and Unicode

Total characters89
Distinct characters31
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

Unique21 ?
Unique (%)100.0%

Sample

1st row초읍동
2nd row양정1동
3rd row양정2동
4th row전포1동
5th row전포2동
ValueCountFrequency (%)
초읍동 1
 
4.5%
양정1동 1
 
4.5%
부전2동 1
 
4.5%
부전1동 1
 
4.5%
부산진구청 1
 
4.5%
부산광역시 1
 
4.5%
범천2동 1
 
4.5%
범천1동 1
 
4.5%
개금3동 1
 
4.5%
개금2동 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T14:57:32.525751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 20
22.5%
1 8
 
9.0%
2 7
 
7.9%
부 6
 
6.7%
전 4
 
4.5%
당 3
 
3.4%
감 3
 
3.4%
금 3
 
3.4%
개 3
 
3.4%
산 2
 
2.2%
Other values (21) 30
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
78.7%
Decimal Number 18
 
20.2%
Space Separator 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20
28.6%
부 6
 
8.6%
전 4
 
5.7%
당 3
 
4.3%
감 3
 
4.3%
금 3
 
4.3%
개 3
 
4.3%
산 2
 
2.9%
천 2
 
2.9%
범 2
 
2.9%
Other values (16) 22
31.4%
Decimal Number
ValueCountFrequency (%)
1 8
44.4%
2 7
38.9%
3 2
 
11.1%
4 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
78.7%
Common 19
 
21.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20
28.6%
부 6
 
8.6%
전 4
 
5.7%
당 3
 
4.3%
감 3
 
4.3%
금 3
 
4.3%
개 3
 
4.3%
산 2
 
2.9%
천 2
 
2.9%
범 2
 
2.9%
Other values (16) 22
31.4%
Common
ValueCountFrequency (%)
1 8
42.1%
2 7
36.8%
3 2
 
10.5%
1
 
5.3%
4 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
78.7%
ASCII 19
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 20
28.6%
부 6
 
8.6%
전 4
 
5.7%
당 3
 
4.3%
감 3
 
4.3%
금 3
 
4.3%
개 3
 
4.3%
산 2
 
2.9%
천 2
 
2.9%
범 2
 
2.9%
Other values (16) 22
31.4%
ASCII
ValueCountFrequency (%)
1 8
42.1%
2 7
36.8%
3 2
 
10.5%
1
 
5.3%
4 1
 
5.3%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:57:32.769019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length26.714286
Min length23

Characters and Unicode

Total characters561
Distinct characters61
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 새싹로 284 (초읍동)
2nd row부산광역시 부산진구 동평로406번길 38 (양정동)
3rd row부산광역시 부산진구 양정로15번길 26 (양정동)
4th row부산광역시 부산진구 서전로68번길 75 (전포동)
5th row부산광역시 부산진구 동성로 144(전포동)
ValueCountFrequency (%)
부산광역시 21
20.2%
부산진구 21
20.2%
부암동 3
 
2.9%
당감동 3
 
2.9%
개금동 3
 
2.9%
13 2
 
1.9%
양정동 2
 
1.9%
30 2
 
1.9%
범천동 2
 
1.9%
가야동 2
 
1.9%
Other values (43) 43
41.3%
2023-12-12T14:57:33.192564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
15.7%
부 48
 
8.6%
산 42
 
7.5%
동 25
 
4.5%
광 22
 
3.9%
시 22
 
3.9%
( 21
 
3.7%
로 21
 
3.7%
) 21
 
3.7%
구 21
 
3.7%
Other values (51) 230
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
62.9%
Space Separator 88
 
15.7%
Decimal Number 77
 
13.7%
Open Punctuation 21
 
3.7%
Close Punctuation 21
 
3.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 48
13.6%
산 42
11.9%
동 25
 
7.1%
광 22
 
6.2%
시 22
 
6.2%
로 21
 
5.9%
구 21
 
5.9%
진 21
 
5.9%
역 21
 
5.9%
길 13
 
3.7%
Other values (37) 97
27.5%
Decimal Number
ValueCountFrequency (%)
4 14
18.2%
1 12
15.6%
2 10
13.0%
3 9
11.7%
0 7
9.1%
8 6
7.8%
5 6
7.8%
7 5
 
6.5%
9 4
 
5.2%
6 4
 
5.2%
Space Separator
ValueCountFrequency (%)
88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
62.9%
Common 208
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 48
13.6%
산 42
11.9%
동 25
 
7.1%
광 22
 
6.2%
시 22
 
6.2%
로 21
 
5.9%
구 21
 
5.9%
진 21
 
5.9%
역 21
 
5.9%
길 13
 
3.7%
Other values (37) 97
27.5%
Common
ValueCountFrequency (%)
88
42.3%
( 21
 
10.1%
) 21
 
10.1%
4 14
 
6.7%
1 12
 
5.8%
2 10
 
4.8%
3 9
 
4.3%
0 7
 
3.4%
8 6
 
2.9%
5 6
 
2.9%
Other values (4) 14
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
62.9%
ASCII 208
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
42.3%
( 21
 
10.1%
) 21
 
10.1%
4 14
 
6.7%
1 12
 
5.8%
2 10
 
4.8%
3 9
 
4.3%
0 7
 
3.4%
8 6
 
2.9%
5 6
 
2.9%
Other values (4) 14
 
6.7%
Hangul
ValueCountFrequency (%)
부 48
13.6%
산 42
11.9%
동 25
 
7.1%
광 22
 
6.2%
시 22
 
6.2%
로 21
 
5.9%
구 21
 
5.9%
진 21
 
5.9%
역 21
 
5.9%
길 13
 
3.7%
Other values (37) 97
27.5%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:57:33.441105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row051-605-4905
2nd row051-605-4906
3rd row051-605-4907
4th row051-605-4908
5th row051-605-6661
ValueCountFrequency (%)
051-605-4905 1
 
4.8%
051-605-4918 1
 
4.8%
051-605-4902 1
 
4.8%
051-605-4901 1
 
4.8%
051-605-4000 1
 
4.8%
051-605-4924 1
 
4.8%
051-605-6941 1
 
4.8%
051-605-6921 1
 
4.8%
051-605-6901 1
 
4.8%
051-605-4920 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T14:57:33.789800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
21.4%
5 43
17.1%
- 42
16.7%
1 34
13.5%
6 33
13.1%
4 19
 
7.5%
9 16
 
6.3%
2 5
 
2.0%
7 3
 
1.2%
8 3
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
25.7%
5 43
20.5%
1 34
16.2%
6 33
15.7%
4 19
 
9.0%
9 16
 
7.6%
2 5
 
2.4%
7 3
 
1.4%
8 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
21.4%
5 43
17.1%
- 42
16.7%
1 34
13.5%
6 33
13.1%
4 19
 
7.5%
9 16
 
6.3%
2 5
 
2.0%
7 3
 
1.2%
8 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
21.4%
5 43
17.1%
- 42
16.7%
1 34
13.5%
6 33
13.1%
4 19
 
7.5%
9 16
 
6.3%
2 5
 
2.0%
7 3
 
1.2%
8 3
 
1.2%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.160295
Minimum35.144932
Maximum35.181405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:57:33.916576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.144932
5-th percentile35.146359
Q135.152772
median35.161512
Q335.167399
95-th percentile35.172822
Maximum35.181405
Range0.036473
Interquartile range (IQR)0.014627

Descriptive statistics

Standard deviation0.01005829
Coefficient of variation (CV)0.00028606956
Kurtosis-0.7031275
Mean35.160295
Median Absolute Deviation (MAD)0.0082303
Skewness0.25450844
Sum738.3662
Variance0.0001011692
MonotonicityNot monotonic
2023-12-12T14:57:34.079804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.181405 1
 
4.8%
35.172128 1
 
4.8%
35.172744 1
 
4.8%
35.152657 1
 
4.8%
35.163685 1
 
4.8%
35.163117 1
 
4.8%
35.146359 1
 
4.8%
35.147045 1
 
4.8%
35.155781 1
 
4.8%
35.144932 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
35.144932 1
4.8%
35.146359 1
4.8%
35.147045 1
4.8%
35.14939 1
4.8%
35.152657 1
4.8%
35.152772 1
4.8%
35.153282 1
4.8%
35.154387 1
4.8%
35.155781 1
4.8%
35.157888 1
4.8%
ValueCountFrequency (%)
35.181405 1
4.8%
35.172822 1
4.8%
35.172744 1
4.8%
35.172128 1
4.8%
35.169136 1
4.8%
35.167399 1
4.8%
35.164458 1
4.8%
35.163685 1
4.8%
35.163299 1
4.8%
35.163117 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04768
Minimum129.01958
Maximum129.07575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:57:34.209041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01958
5-th percentile129.02194
Q1129.03432
median129.04857
Q3129.061
95-th percentile129.06877
Maximum129.07575
Range0.056178
Interquartile range (IQR)0.026679

Descriptive statistics

Standard deviation0.016501882
Coefficient of variation (CV)0.00012787431
Kurtosis-0.96420391
Mean129.04768
Median Absolute Deviation (MAD)0.014255
Skewness-0.20202467
Sum2710.0012
Variance0.00027231212
MonotonicityNot monotonic
2023-12-12T14:57:34.344993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.047281 1
 
4.8%
129.068771 1
 
4.8%
129.052785 1
 
4.8%
129.056802 1
 
4.8%
129.063142 1
 
4.8%
129.053038 1
 
4.8%
129.056233 1
 
4.8%
129.060998 1
 
4.8%
129.021948 1
 
4.8%
129.019575 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
129.019575 1
4.8%
129.021945 1
4.8%
129.021948 1
4.8%
129.031889 1
4.8%
129.033891 1
4.8%
129.034319 1
4.8%
129.035668 1
4.8%
129.039643 1
4.8%
129.047281 1
4.8%
129.047896 1
4.8%
ValueCountFrequency (%)
129.075753 1
4.8%
129.068771 1
4.8%
129.067427 1
4.8%
129.0636044 1
4.8%
129.063142 1
4.8%
129.060998 1
4.8%
129.056802 1
4.8%
129.056233 1
4.8%
129.053038 1
4.8%
129.052785 1
4.8%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47248
Minimum47124
Maximum47396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:57:34.485994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47124
5-th percentile47130
Q147177
median47241
Q347323
95-th percentile47384
Maximum47396
Range272
Interquartile range (IQR)146

Descriptive statistics

Standard deviation87.698917
Coefficient of variation (CV)0.0018561403
Kurtosis-1.2299073
Mean47248
Median Absolute Deviation (MAD)68
Skewness0.24495163
Sum992208
Variance7691.1
MonotonicityNot monotonic
2023-12-12T14:57:34.598975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
47124 1
 
4.8%
47212 1
 
4.8%
47130 1
 
4.8%
47288 1
 
4.8%
47250 1
 
4.8%
47193 1
 
4.8%
47370 1
 
4.8%
47354 1
 
4.8%
47173 1
 
4.8%
47396 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
47124 1
4.8%
47130 1
4.8%
47143 1
4.8%
47147 1
4.8%
47173 1
4.8%
47177 1
4.8%
47187 1
4.8%
47193 1
4.8%
47212 1
4.8%
47220 1
4.8%
ValueCountFrequency (%)
47396 1
4.8%
47384 1
4.8%
47370 1
4.8%
47354 1
4.8%
47329 1
4.8%
47323 1
4.8%
47305 1
4.8%
47288 1
4.8%
47262 1
4.8%
47250 1
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-08-03
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-03
2nd row2023-08-03
3rd row2023-08-03
4th row2023-08-03
5th row2023-08-03

Common Values

ValueCountFrequency (%)
2023-08-03 21
100.0%

Length

2023-12-12T14:57:34.721172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:57:34.843367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-03 21
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
부산광역시 부산진구
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 부산진구 21
100.0%

Length

2023-12-12T14:57:34.967653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:57:35.080621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 21
50.0%
부산진구 21
50.0%

Interactions

2023-12-12T14:57:31.408767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:30.757398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:31.087887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:31.542082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:30.867618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:31.210287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:31.633000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:30.996677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:57:31.300111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:57:35.155246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정공공기관명도로명주소전화번호위도경도우편번호
행정공공기관명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.4850.822
경도1.0001.0001.0000.4851.0000.534
우편번호1.0001.0001.0000.8220.5341.000
2023-12-12T14:57:35.249505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도우편번호
위도1.0000.277-0.865
경도0.2771.000-0.026
우편번호-0.865-0.0261.000

Missing values

2023-12-12T14:57:31.761980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:57:31.932500image/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

행정공공기관명도로명주소전화번호위도경도우편번호데이터기준일자구군명
0초읍동부산광역시 부산진구 새싹로 284 (초읍동)051-605-490535.181405129.047281471242023-08-03부산광역시 부산진구
1양정1동부산광역시 부산진구 동평로406번길 38 (양정동)051-605-490635.172128129.068771472122023-08-03부산광역시 부산진구
2양정2동부산광역시 부산진구 양정로15번길 26 (양정동)051-605-490735.172822129.075753472202023-08-03부산광역시 부산진구
3전포1동부산광역시 부산진구 서전로68번길 75 (전포동)051-605-490835.154387129.067427473052023-08-03부산광역시 부산진구
4전포2동부산광역시 부산진구 동성로 144(전포동)051-605-666135.161512129.063604472412023-08-03부산광역시 부산진구
5부암1동부산광역시 부산진구 신천대로241번길 41 (부암동)051-605-491135.163299129.048574471872023-08-03부산광역시 부산진구
6부암3동부산광역시 부산진구 백양순환로110번길 25 (부암동)051-605-672135.169136129.039643471432023-08-03부산광역시 부산진구
7당감1동부산광역시 부산진구 동평로44번길 49-6 (당감동)051-605-674135.164458129.035668471772023-08-03부산광역시 부산진구
8당감2동부산광역시 부산진구 가야대로703번길 13 (당감동)051-605-491435.157888129.047896472622023-08-03부산광역시 부산진구
9당감4동부산광역시 부산진구 백양순환로 40 (당감동)051-605-491635.167399129.033891471472023-08-03부산광역시 부산진구
행정공공기관명도로명주소전화번호위도경도우편번호데이터기준일자구군명
11가야2동부산광역시 부산진구 엄광로147번길 37 (가야동)051-605-491835.14939129.031889473842023-08-03부산광역시 부산진구
12개금1동부산광역시 부산진구 가야대로 454번길 9 (개금동)051-605-492035.152772129.021945473232023-08-03부산광역시 부산진구
13개금2동부산광역시 부산진구 복지로 93 (개금동)051-605-690135.144932129.019575473962023-08-03부산광역시 부산진구
14개금3동부산광역시 부산진구 개금본동로 88 (개금동)051-605-692135.155781129.021948471732023-08-03부산광역시 부산진구
15범천1동부산광역시 부산진구 범일로192번길 21 (범천동)051-605-694135.147045129.060998473542023-08-03부산광역시 부산진구
16범천2동부산광역시 부산진구 신암로 48 (범천동)051-605-492435.146359129.056233473702023-08-03부산광역시 부산진구
17부산광역시 부산진구청부산광역시 부산진구 시민공원로 30 (부암동)051-605-400035.163117129.053038471932023-08-03부산광역시 부산진구
18부전1동부산광역시 부산진구 범전로5번길 13(부전동)051-605-490135.163685129.063142472502023-08-03부산광역시 부산진구
19부전2동부산광역시 부산진구 부전로20번길 13 (부전동)051-605-490235.152657129.056802472882023-08-03부산광역시 부산진구
20연지동부산광역시 부산진구 국악로 30 (연지동)051-605-490435.172744129.052785471302023-08-03부산광역시 부산진구