Overview

Dataset statistics

Number of variables6
Number of observations134
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory50.0 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description부산광역시 북구에 소재하고 있는 평생학습기관 현황 자료로서, 기관명, 연락처, 소재지, 홈페이지 등의 자료를 포함하고 있습니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15039116/fileData.do

Alerts

순번 has unique valuesUnique
평생학습기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:36:26.058257
Analysis finished2024-03-14 15:36:27.395694
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.5
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T00:36:27.614707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.65
Q134.25
median67.5
Q3100.75
95-th percentile127.35
Maximum134
Range133
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation38.826537
Coefficient of variation (CV)0.57520796
Kurtosis-1.2
Mean67.5
Median Absolute Deviation (MAD)33.5
Skewness0
Sum9045
Variance1507.5
MonotonicityStrictly increasing
2024-03-15T00:36:28.086662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
86 1
 
0.7%
100 1
 
0.7%
99 1
 
0.7%
98 1
 
0.7%
97 1
 
0.7%
96 1
 
0.7%
95 1
 
0.7%
94 1
 
0.7%
93 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%
129 1
0.7%
128 1
0.7%
127 1
0.7%
126 1
0.7%
125 1
0.7%

평생학습기관명
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:36:28.969648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length8.9850746
Min length4

Characters and Unicode

Total characters1204
Distinct characters209
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)100.0%

Sample

1st row북구청(정보화교육장)
2nd row구포1동행정복지센터
3rd row구포2동행정복지센터
4th row구포3동행정복지센터
5th row금곡동행정복지센터
ValueCountFrequency (%)
작은도서관 6
 
3.7%
청소년공부방 4
 
2.5%
평생교육원 3
 
1.8%
화명수목원 2
 
1.2%
금곡동 2
 
1.2%
윤리경로대학 1
 
0.6%
동원경로대학 1
 
0.6%
화명노인대학 1
 
0.6%
만덕로뎀노인대학 1
 
0.6%
화정노인대학 1
 
0.6%
Other values (141) 141
86.5%
2024-03-15T00:36:30.038951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 50
 
4.2%
관 44
 
3.7%
동 38
 
3.2%
터 38
 
3.2%
센 37
 
3.1%
복 29
 
2.4%
29
 
2.4%
화 27
 
2.2%
학 26
 
2.2%
대 25
 
2.1%
Other values (199) 861
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1135
94.3%
Space Separator 29
 
2.4%
Decimal Number 22
 
1.8%
Close Punctuation 7
 
0.6%
Open Punctuation 7
 
0.6%
Uppercase Letter 3
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 50
 
4.4%
관 44
 
3.9%
동 38
 
3.3%
터 38
 
3.3%
센 37
 
3.3%
복 29
 
2.6%
화 27
 
2.4%
학 26
 
2.3%
대 25
 
2.2%
부 25
 
2.2%
Other values (186) 796
70.1%
Decimal Number
ValueCountFrequency (%)
1 7
31.8%
2 6
27.3%
3 6
27.3%
8 1
 
4.5%
6 1
 
4.5%
4 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
T 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1135
94.3%
Common 65
 
5.4%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 50
 
4.4%
관 44
 
3.9%
동 38
 
3.3%
터 38
 
3.3%
센 37
 
3.3%
복 29
 
2.6%
화 27
 
2.4%
학 26
 
2.3%
대 25
 
2.2%
부 25
 
2.2%
Other values (186) 796
70.1%
Common
ValueCountFrequency (%)
29
44.6%
1 7
 
10.8%
) 7
 
10.8%
( 7
 
10.8%
2 6
 
9.2%
3 6
 
9.2%
8 1
 
1.5%
6 1
 
1.5%
4 1
 
1.5%
Latin
ValueCountFrequency (%)
K 1
25.0%
T 1
25.0%
C 1
25.0%
Ⅶ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1135
94.3%
ASCII 68
 
5.6%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 50
 
4.4%
관 44
 
3.9%
동 38
 
3.3%
터 38
 
3.3%
센 37
 
3.3%
복 29
 
2.6%
화 27
 
2.4%
학 26
 
2.3%
대 25
 
2.2%
부 25
 
2.2%
Other values (186) 796
70.1%
ASCII
ValueCountFrequency (%)
29
42.6%
1 7
 
10.3%
) 7
 
10.3%
( 7
 
10.3%
2 6
 
8.8%
3 6
 
8.8%
K 1
 
1.5%
T 1
 
1.5%
C 1
 
1.5%
8 1
 
1.5%
Other values (2) 2
 
2.9%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
100.0%

전화번호
Text

Distinct115
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:36:31.089433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1608
Distinct characters11
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

Unique101 ?
Unique (%)75.4%

Sample

1st row051-309-4301
2nd row051-309-6201
3rd row051-309-6221
4th row051-309-6247
5th row051-309-6264
ValueCountFrequency (%)
051-361-0045 3
 
2.2%
051-365-2211 3
 
2.2%
051-338-2233 3
 
2.2%
051-342-8206 3
 
2.2%
051-362-0111 3
 
2.2%
051-309-6201 2
 
1.5%
051-362-7755 2
 
1.5%
051-343-4008 2
 
1.5%
051-337-5959 2
 
1.5%
051-333-3888 2
 
1.5%
Other values (105) 109
81.3%
2024-03-15T00:36:32.481659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 268
16.7%
0 253
15.7%
3 247
15.4%
1 226
14.1%
5 181
11.3%
6 110
6.8%
2 81
 
5.0%
4 73
 
4.5%
9 66
 
4.1%
8 59
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1340
83.3%
Dash Punctuation 268
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 253
18.9%
3 247
18.4%
1 226
16.9%
5 181
13.5%
6 110
8.2%
2 81
 
6.0%
4 73
 
5.4%
9 66
 
4.9%
8 59
 
4.4%
7 44
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1608
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 268
16.7%
0 253
15.7%
3 247
15.4%
1 226
14.1%
5 181
11.3%
6 110
6.8%
2 81
 
5.0%
4 73
 
4.5%
9 66
 
4.1%
8 59
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1608
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 268
16.7%
0 253
15.7%
3 247
15.4%
1 226
14.1%
5 181
11.3%
6 110
6.8%
2 81
 
5.0%
4 73
 
4.5%
9 66
 
4.1%
8 59
 
3.7%

동
Categorical

Distinct17
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
금곡동
29 
구포2동
11 
구포3동
11 
덕천1동
11 
구포1동
10 
Other values (12)
62 

Length

Max length4
Median length4
Mean length3.7164179
Min length3

Unique

Unique3 ?
Unique (%)2.2%

Sample

1st row구포2동
2nd row구포1동
3rd row구포2동
4th row구포3동
5th row금곡동

Common Values

ValueCountFrequency (%)
금곡동 29
21.6%
구포2동 11
 
8.2%
구포3동 11
 
8.2%
덕천1동 11
 
8.2%
구포1동 10
 
7.5%
화명2동 10
 
7.5%
화명3동 10
 
7.5%
만덕2동 9
 
6.7%
덕천2동 8
 
6.0%
화명동 6
 
4.5%
Other values (7) 19
14.2%

Length

2024-03-15T00:36:32.757380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금곡동 29
21.6%
구포2동 11
 
8.2%
구포3동 11
 
8.2%
덕천1동 11
 
8.2%
구포1동 10
 
7.5%
화명2동 10
 
7.5%
화명3동 10
 
7.5%
만덕2동 9
 
6.7%
덕천2동 8
 
6.0%
화명동 6
 
4.5%
Other values (7) 19
14.2%

소재지
Text

Distinct110
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:36:33.826277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length26.11194
Min length14

Characters and Unicode

Total characters3499
Distinct characters108
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

Unique89 ?
Unique (%)66.4%

Sample

1st row부산광역시 북구 낙동대로1570번길 33 (구포동)
2nd row부산광역시 북구 낙동대로1762번길 75 (구포동)
3rd row부산광역시 북구 낙동북로663번길 23 (구포동)
4th row부산광역시 북구 시랑로118번길 23 (구포동)
5th row부산광역시 북구 금곡대로 466 (금곡동)
ValueCountFrequency (%)
북구 134
19.3%
부산광역시 133
19.2%
구포동 32
 
4.6%
화명동 26
 
3.7%
금곡동 23
 
3.3%
덕천동 22
 
3.2%
효열로 14
 
2.0%
만덕동 13
 
1.9%
금곡대로 10
 
1.4%
덕천로 7
 
1.0%
Other values (175) 280
40.3%
2024-03-15T00:36:35.365673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
 
16.0%
구 170
 
4.9%
시 153
 
4.4%
북 140
 
4.0%
산 140
 
4.0%
부 134
 
3.8%
광 133
 
3.8%
역 133
 
3.8%
로 133
 
3.8%
동 131
 
3.7%
Other values (98) 1672
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2111
60.3%
Space Separator 560
 
16.0%
Decimal Number 560
 
16.0%
Open Punctuation 120
 
3.4%
Close Punctuation 120
 
3.4%
Dash Punctuation 15
 
0.4%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 170
 
8.1%
시 153
 
7.2%
북 140
 
6.6%
산 140
 
6.6%
부 134
 
6.3%
광 133
 
6.3%
역 133
 
6.3%
로 133
 
6.3%
동 131
 
6.2%
길 73
 
3.5%
Other values (82) 771
36.5%
Decimal Number
ValueCountFrequency (%)
1 130
23.2%
2 69
12.3%
4 59
10.5%
6 59
10.5%
5 56
10.0%
0 40
 
7.1%
3 40
 
7.1%
7 39
 
7.0%
9 35
 
6.2%
8 33
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
@ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2111
60.3%
Common 1388
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 170
 
8.1%
시 153
 
7.2%
북 140
 
6.6%
산 140
 
6.6%
부 134
 
6.3%
광 133
 
6.3%
역 133
 
6.3%
로 133
 
6.3%
동 131
 
6.2%
길 73
 
3.5%
Other values (82) 771
36.5%
Common
ValueCountFrequency (%)
560
40.3%
1 130
 
9.4%
( 120
 
8.6%
) 120
 
8.6%
2 69
 
5.0%
4 59
 
4.3%
6 59
 
4.3%
5 56
 
4.0%
0 40
 
2.9%
3 40
 
2.9%
Other values (6) 135
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2111
60.3%
ASCII 1388
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
560
40.3%
1 130
 
9.4%
( 120
 
8.6%
) 120
 
8.6%
2 69
 
5.0%
4 59
 
4.3%
6 59
 
4.3%
5 56
 
4.0%
0 40
 
2.9%
3 40
 
2.9%
Other values (6) 135
 
9.7%
Hangul
ValueCountFrequency (%)
구 170
 
8.1%
시 153
 
7.2%
북 140
 
6.6%
산 140
 
6.6%
부 134
 
6.3%
광 133
 
6.3%
역 133
 
6.3%
로 133
 
6.3%
동 131
 
6.2%
길 73
 
3.5%
Other values (82) 771
36.5%

홈페이지
Text

Distinct74
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T00:36:35.993139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length74
Mean length18.768657
Min length2

Characters and Unicode

Total characters2515
Distinct characters69
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)53.0%

Sample

1st rowhttps://www.bsbukgu.go.kr/index.bsbukgu?menuCd=DOM_000000103010001001
2nd rowhttps://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001701000000000
3rd rowhttps://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001702000000000
4th rowhttps://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001703000000000
5th rowhttps://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001704000000000
ValueCountFrequency (%)
없음 59
44.0%
www.ymcadw.org 2
 
1.5%
www.부산북구생활체육.com 2
 
1.5%
www.bacs.go.kr 1
 
0.7%
www.bsbukgu.go.kr/?mid=h2_04 1
 
0.7%
www.dcpc.or.kr 1
 
0.7%
www.bgrc.or.kr 1
 
0.7%
bukbu.pen.go.kr 1
 
0.7%
hmlib.bsbukgu.go.kr 1
 
0.7%
www.bbsmg.co.kr/bbs/board.php?bo_table=culture_01 1
 
0.7%
Other values (64) 64
47.8%
2024-03-15T00:36:37.072691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 222
 
8.8%
0 218
 
8.7%
w 169
 
6.7%
u 137
 
5.4%
k 115
 
4.6%
o 114
 
4.5%
b 112
 
4.5%
r 108
 
4.3%
/ 106
 
4.2%
g 106
 
4.2%
Other values (59) 1108
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1607
63.9%
Other Punctuation 369
 
14.7%
Decimal Number 290
 
11.5%
Other Letter 147
 
5.8%
Uppercase Letter 60
 
2.4%
Math Symbol 21
 
0.8%
Connector Punctuation 18
 
0.7%
Dash Punctuation 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 169
 
10.5%
u 137
 
8.5%
k 115
 
7.2%
o 114
 
7.1%
b 112
 
7.0%
r 108
 
6.7%
g 106
 
6.6%
s 92
 
5.7%
n 89
 
5.5%
e 84
 
5.2%
Other values (15) 481
29.9%
Other Letter
ValueCountFrequency (%)
음 59
40.1%
없 59
40.1%
부 3
 
2.0%
구 3
 
2.0%
산 3
 
2.0%
북 3
 
2.0%
활 2
 
1.4%
생 2
 
1.4%
체 2
 
1.4%
육 2
 
1.4%
Other values (9) 9
 
6.1%
Decimal Number
ValueCountFrequency (%)
0 218
75.2%
1 33
 
11.4%
7 15
 
5.2%
2 8
 
2.8%
3 5
 
1.7%
8 3
 
1.0%
9 3
 
1.0%
5 2
 
0.7%
4 2
 
0.7%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
C 15
25.0%
D 14
23.3%
O 14
23.3%
M 14
23.3%
L 2
 
3.3%
P 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 222
60.2%
/ 106
28.7%
: 20
 
5.4%
? 18
 
4.9%
& 3
 
0.8%
Math Symbol
ValueCountFrequency (%)
= 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1667
66.3%
Common 701
27.9%
Hangul 147
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 169
 
10.1%
u 137
 
8.2%
k 115
 
6.9%
o 114
 
6.8%
b 112
 
6.7%
r 108
 
6.5%
g 106
 
6.4%
s 92
 
5.5%
n 89
 
5.3%
e 84
 
5.0%
Other values (21) 541
32.5%
Common
ValueCountFrequency (%)
. 222
31.7%
0 218
31.1%
/ 106
15.1%
1 33
 
4.7%
= 21
 
3.0%
: 20
 
2.9%
? 18
 
2.6%
_ 18
 
2.6%
7 15
 
2.1%
2 8
 
1.1%
Other values (9) 22
 
3.1%
Hangul
ValueCountFrequency (%)
음 59
40.1%
없 59
40.1%
부 3
 
2.0%
구 3
 
2.0%
산 3
 
2.0%
북 3
 
2.0%
활 2
 
1.4%
생 2
 
1.4%
체 2
 
1.4%
육 2
 
1.4%
Other values (9) 9
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2368
94.2%
Hangul 147
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 222
 
9.4%
0 218
 
9.2%
w 169
 
7.1%
u 137
 
5.8%
k 115
 
4.9%
o 114
 
4.8%
b 112
 
4.7%
r 108
 
4.6%
/ 106
 
4.5%
g 106
 
4.5%
Other values (40) 961
40.6%
Hangul
ValueCountFrequency (%)
음 59
40.1%
없 59
40.1%
부 3
 
2.0%
구 3
 
2.0%
산 3
 
2.0%
북 3
 
2.0%
활 2
 
1.4%
생 2
 
1.4%
체 2
 
1.4%
육 2
 
1.4%
Other values (9) 9
 
6.1%

Interactions

2024-03-15T00:36:26.524630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:36:37.333707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번동홈페이지
순번1.0000.3670.631
동0.3671.0000.000
홈페이지0.6310.0001.000
2024-03-15T00:36:37.565903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번동
순번1.0000.144
동0.1441.000

Missing values

2024-03-15T00:36:26.876716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:36:27.256864image/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

순번평생학습기관명전화번호동소재지홈페이지
01북구청(정보화교육장)051-309-4301구포2동부산광역시 북구 낙동대로1570번길 33 (구포동)https://www.bsbukgu.go.kr/index.bsbukgu?menuCd=DOM_000000103010001001
12구포1동행정복지센터051-309-6201구포1동부산광역시 북구 낙동대로1762번길 75 (구포동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001701000000000
23구포2동행정복지센터051-309-6221구포2동부산광역시 북구 낙동북로663번길 23 (구포동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001702000000000
34구포3동행정복지센터051-309-6247구포3동부산광역시 북구 시랑로118번길 23 (구포동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001703000000000
45금곡동행정복지센터051-309-6264금곡동부산광역시 북구 금곡대로 466 (금곡동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001704000000000
56화명1동행정복지센터051-309-6301화명1동부산광역시 북구 금곡대로 180 (화명동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001705000000000
67화명2동행정복지센터051-309-6321화명2동부산광역시 북구 양달로 58 (화명동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001706000000000
78화명3동행정복지센터051-309-6341화명3동부산광역시 북구 화명신도시로 85 (화명동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001707000000000
89덕천1동행정복지센터051-309-6361덕천1동부산광역시 북구 만덕대로102번가길 11 (덕천동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001708000000000
910덕천2동행정복지센터051-309-6384덕천2동부산광역시 북구 금곡대로20번길 60 (덕천동)https://www.bsbukgu.go.kr/dong/index.bsbukgu?menuCd=DOM_000001709000000000
순번평생학습기관명전화번호동소재지홈페이지
124125화명책나무051-363-4005화명동부산광역시 북구 화명신도시로129 골든프라자 703호없음
125126화명평화도서관051-365-0675화명동부산광역시 북구 산성로51없음
126127드림작은도서관051-342-1128화명동부산광역시 북구 금곡대로221번길 5 형제빌딩 4층없음
127128북라이크스토리작은도서관051-343-3399덕천동부산광역시 북구 덕천로135 3층없음
128129백양산동문굿모닝힐아파트 2단지 작은도서관051-336-9886만덕동부산광역시 북구 덕천로276번길 60 2단지 1층없음
129130열린작은도서관051-362-5939화명동부산광역시 북구 양달로 4번길 7없음
130131백합꽃피는 작은도서관051-364-2292화명동부산광역시 북구 용당로20번길 15없음
131132부산솔로몬로파크051-330-4015구포동부산광역시 북구 낙동북로 755 (구포동)https://www.lawnorder.go.kr/solomonbs/index.do
132133한국산업인력공단 부산지역본부051-330-1910금곡동부산광역시 북구 금곡대로 441번길 26 (금곡동)https://hrdc.hrdkorea.or.kr/hrdc/busan
133134부산 북구육아종합지원센터051-342-6161만덕1동부산광역시 북구 만덕1로104번가길 37 (만덕동)https://www.bbgscc.or.kr/