Overview

Dataset statistics

Number of variables8
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory68.2 B

Variable types

Numeric3
Categorical2
Text2
DateTime1

Dataset

Description부산광역시 디지털배움터 현황에 대한 데이터로 연번, 배움터구분, 배움터명, 도로명주소, 전화번호, 데이터기준일자 항목정보를 제공합니다.* 특정 기준일자 현황이며 배움터특성에 따라 수시 변동 가능, 배움터 연락처 중 개인정보(휴대폰번호)는 제외
Author부산광역시
URLhttps://www.data.go.kr/data/15103457/fileData.do

Alerts

전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
배움터구분 is highly imbalanced (57.7%)Imbalance
연번 has unique valuesUnique
배움터명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-23 07:36:48.180307
Analysis finished2023-12-23 07:36:55.109459
Duration6.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-23T07:36:55.602758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2023-12-23T07:36:56.500832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

배움터구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1012.0 B
일반배움터
93 
거점센터
16 
총괄거점센터
 
1

Length

Max length6
Median length5
Mean length4.8636364
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row총괄거점센터
2nd row거점센터
3rd row일반배움터
4th row일반배움터
5th row일반배움터

Common Values

ValueCountFrequency (%)
일반배움터 93
84.5%
거점센터 16
 
14.5%
총괄거점센터 1
 
0.9%

Length

2023-12-23T07:36:57.571208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:36:58.300638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반배움터 93
84.5%
거점센터 16
 
14.5%
총괄거점센터 1
 
0.9%

배움터명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-23T07:36:59.186026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.5181818
Min length3

Characters and Unicode

Total characters937
Distinct characters185
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

Unique110 ?
Unique (%)100.0%

Sample

1st row부산유라시아 플랫폼
2nd row중구청
3rd row중부산 배움터
4th row한마음평생교육관
5th row중구다함께 돌봄센터
ValueCountFrequency (%)
커뮤니티센터 6
 
3.8%
행정복지센터 4
 
2.5%
배움터 4
 
2.5%
종합사회복지관 3
 
1.9%
작은도서관 2
 
1.3%
대한노인회 2
 
1.3%
연제구 2
 
1.3%
신호작은도서관 1
 
0.6%
신호평생학습관 1
 
0.6%
강서구청 1
 
0.6%
Other values (132) 132
83.5%
2023-12-23T07:37:01.269490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
6.0%
55
 
5.9%
43
 
4.6%
37
 
3.9%
35
 
3.7%
28
 
3.0%
27
 
2.9%
24
 
2.6%
24
 
2.6%
24
 
2.6%
Other values (175) 584
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
92.0%
Space Separator 55
 
5.9%
Decimal Number 8
 
0.9%
Uppercase Letter 4
 
0.4%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Control 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
6.5%
43
 
5.0%
37
 
4.3%
35
 
4.1%
28
 
3.2%
27
 
3.1%
24
 
2.8%
24
 
2.8%
24
 
2.8%
23
 
2.7%
Other values (163) 541
62.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
L 1
25.0%
P 1
25.0%
D 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
5 2
25.0%
3 2
25.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
92.0%
Common 70
 
7.5%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
6.5%
43
 
5.0%
37
 
4.3%
35
 
4.1%
28
 
3.2%
27
 
3.1%
24
 
2.8%
24
 
2.8%
24
 
2.8%
23
 
2.7%
Other values (163) 541
62.8%
Common
ValueCountFrequency (%)
55
78.6%
2 4
 
5.7%
) 3
 
4.3%
( 3
 
4.3%
5 2
 
2.9%
3 2
 
2.9%
1
 
1.4%
Latin
ValueCountFrequency (%)
H 1
20.0%
L 1
20.0%
P 1
20.0%
n 1
20.0%
D 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
92.0%
ASCII 75
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
56
 
6.5%
43
 
5.0%
37
 
4.3%
35
 
4.1%
28
 
3.2%
27
 
3.1%
24
 
2.8%
24
 
2.8%
24
 
2.8%
23
 
2.7%
Other values (163) 541
62.8%
ASCII
ValueCountFrequency (%)
55
73.3%
2 4
 
5.3%
) 3
 
4.0%
( 3
 
4.0%
5 2
 
2.7%
3 2
 
2.7%
H 1
 
1.3%
L 1
 
1.3%
1
 
1.3%
P 1
 
1.3%
Other values (2) 2
 
2.7%

도로명주소
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-23T07:37:02.759947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47.5
Mean length36.881818
Min length23

Characters and Unicode

Total characters4057
Distinct characters246
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

Unique110 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 중앙대로 210 (초량동) 유라시아플랫폼 112호
2nd row부산광역시 중구 중구로 120 (대청동1가) 중구청 정보화교육장
3rd row부산광역시 중구 중앙대로 136 (중앙동4가) KT중부산플라자 1층
4th row부산광역시 중구 대청로 63-1 (보수동1가) 한마음평생학습관
5th row부산광역시 중구 초량상로7번길 11 (영주동) 중구 다함께 돌봄센터
ValueCountFrequency (%)
부산광역시 110
 
14.4%
부산진구 10
 
1.3%
남구 10
 
1.3%
북구 9
 
1.2%
정보화교육장 9
 
1.2%
1층 9
 
1.2%
3층 9
 
1.2%
사상구 8
 
1.0%
사하구 8
 
1.0%
금정구 8
 
1.0%
Other values (413) 575
75.2%
2023-12-23T07:37:05.309936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
 
16.4%
150
 
3.7%
147
 
3.6%
138
 
3.4%
136
 
3.4%
127
 
3.1%
114
 
2.8%
112
 
2.8%
110
 
2.7%
1 104
 
2.6%
Other values (236) 2255
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2717
67.0%
Space Separator 664
 
16.4%
Decimal Number 452
 
11.1%
Open Punctuation 96
 
2.4%
Close Punctuation 96
 
2.4%
Uppercase Letter 12
 
0.3%
Dash Punctuation 11
 
0.3%
Other Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
150
 
5.5%
147
 
5.4%
138
 
5.1%
136
 
5.0%
127
 
4.7%
114
 
4.2%
112
 
4.1%
110
 
4.0%
64
 
2.4%
58
 
2.1%
Other values (219) 1561
57.5%
Decimal Number
ValueCountFrequency (%)
1 104
23.0%
2 59
13.1%
3 58
12.8%
7 43
9.5%
4 41
 
9.1%
0 38
 
8.4%
5 37
 
8.2%
6 32
 
7.1%
9 23
 
5.1%
8 17
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
T 6
50.0%
K 6
50.0%
Space Separator
ValueCountFrequency (%)
664
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2717
67.0%
Common 1328
32.7%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
150
 
5.5%
147
 
5.4%
138
 
5.1%
136
 
5.0%
127
 
4.7%
114
 
4.2%
112
 
4.1%
110
 
4.0%
64
 
2.4%
58
 
2.1%
Other values (219) 1561
57.5%
Common
ValueCountFrequency (%)
664
50.0%
1 104
 
7.8%
( 96
 
7.2%
) 96
 
7.2%
2 59
 
4.4%
3 58
 
4.4%
7 43
 
3.2%
4 41
 
3.1%
0 38
 
2.9%
5 37
 
2.8%
Other values (5) 92
 
6.9%
Latin
ValueCountFrequency (%)
T 6
50.0%
K 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2717
67.0%
ASCII 1340
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
664
49.6%
1 104
 
7.8%
( 96
 
7.2%
) 96
 
7.2%
2 59
 
4.4%
3 58
 
4.3%
7 43
 
3.2%
4 41
 
3.1%
0 38
 
2.8%
5 37
 
2.8%
Other values (7) 104
 
7.8%
Hangul
ValueCountFrequency (%)
150
 
5.5%
147
 
5.4%
138
 
5.1%
136
 
5.0%
127
 
4.7%
114
 
4.2%
112
 
4.1%
110
 
4.0%
64
 
2.4%
58
 
2.1%
Other values (219) 1561
57.5%

위도
Real number (ℝ)

Distinct109
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.164756
Minimum35.051228
Maximum35.327867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-23T07:37:06.020172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.051228
5-th percentile35.079781
Q135.113697
median35.167333
Q335.203522
95-th percentile35.263217
Maximum35.327867
Range0.27663905
Interquartile range (IQR)0.089825505

Descriptive statistics

Standard deviation0.059909179
Coefficient of variation (CV)0.0017036711
Kurtosis-0.12001838
Mean35.164756
Median Absolute Deviation (MAD)0.040526785
Skewness0.39678181
Sum3868.1232
Variance0.0035891097
MonotonicityNot monotonic
2023-12-23T07:37:06.557074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.25363765 2
 
1.8%
35.11514794 1
 
0.9%
35.2420498 1
 
0.9%
35.20732663 1
 
0.9%
35.10351612 1
 
0.9%
35.08864227 1
 
0.9%
35.08369227 1
 
0.9%
35.2121997 1
 
0.9%
35.25519071 1
 
0.9%
35.27260879 1
 
0.9%
Other values (99) 99
90.0%
ValueCountFrequency (%)
35.05122843 1
0.9%
35.06274344 1
0.9%
35.06373276 1
0.9%
35.07312369 1
0.9%
35.07583523 1
0.9%
35.07862432 1
0.9%
35.08119418 1
0.9%
35.08120997 1
0.9%
35.08369227 1
0.9%
35.08544264 1
0.9%
ValueCountFrequency (%)
35.32786748 1
0.9%
35.32062942 1
0.9%
35.31851651 1
0.9%
35.27917441 1
0.9%
35.27260879 1
0.9%
35.26323521 1
0.9%
35.26319373 1
0.9%
35.25988579 1
0.9%
35.25519071 1
0.9%
35.25363765 2
1.8%

경도
Real number (ℝ)

Distinct109
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05379
Minimum128.87253
Maximum129.22295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-23T07:37:06.980610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.87253
5-th percentile128.96802
Q1129.01525
median129.06507
Q3129.09347
95-th percentile129.1505
Maximum129.22295
Range0.3504196
Interquartile range (IQR)0.0782198

Descriptive statistics

Standard deviation0.06294789
Coefficient of variation (CV)0.00048776476
Kurtosis0.69355655
Mean129.05379
Median Absolute Deviation (MAD)0.0399352
Skewness-0.29627444
Sum14195.917
Variance0.0039624368
MonotonicityNot monotonic
2023-12-23T07:37:07.773919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0153852 2
 
1.8%
129.0408127 1
 
0.9%
129.0924585 1
 
0.9%
128.9734691 1
 
0.9%
128.9044011 1
 
0.9%
128.8725317 1
 
0.9%
128.8726982 1
 
0.9%
128.9805896 1
 
0.9%
129.0905911 1
 
0.9%
129.0961776 1
 
0.9%
Other values (99) 99
90.0%
ValueCountFrequency (%)
128.8725317 1
0.9%
128.8726982 1
0.9%
128.9044011 1
0.9%
128.9131022 1
0.9%
128.9230288 1
0.9%
128.9635537 1
0.9%
128.9734691 1
0.9%
128.9747879 1
0.9%
128.9749579 1
0.9%
128.9777197 1
0.9%
ValueCountFrequency (%)
129.2229513 1
0.9%
129.1881031 1
0.9%
129.1848319 1
0.9%
129.1770764 1
0.9%
129.1686942 1
0.9%
129.1585247 1
0.9%
129.140696 1
0.9%
129.1301406 1
0.9%
129.1275334 1
0.9%
129.1263349 1
0.9%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
1899-8723
110 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1899-8723
2nd row1899-8723
3rd row1899-8723
4th row1899-8723
5th row1899-8723

Common Values

ValueCountFrequency (%)
1899-8723 110
100.0%

Length

2023-12-23T07:37:08.589275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T07:37:09.095046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1899-8723 110
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum2023-06-29 00:00:00
Maximum2023-06-29 00:00:00
2023-12-23T07:37:09.991746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:37:11.005023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-23T07:36:52.552232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:49.719374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:51.131438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:53.053738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:50.162151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:51.729107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:53.452884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:50.603771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-23T07:36:52.020872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T07:37:11.453156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배움터구분위도경도
연번1.0000.0000.7910.877
배움터구분0.0001.0000.0000.000
위도0.7910.0001.0000.731
경도0.8770.0000.7311.000
2023-12-23T07:37:11.919390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도배움터구분
연번1.0000.4020.0850.000
위도0.4021.0000.4440.000
경도0.0850.4441.0000.000
배움터구분0.0000.0000.0001.000

Missing values

2023-12-23T07:36:54.216521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T07:36:54.785828image/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

연번배움터구분배움터명도로명주소위도경도전화번호데이터기준일자
01총괄거점센터부산유라시아 플랫폼부산광역시 동구 중앙대로 210 (초량동) 유라시아플랫폼 112호35.115148129.0408131899-87232023-06-29
12거점센터중구청부산광역시 중구 중구로 120 (대청동1가) 중구청 정보화교육장35.106197129.0323511899-87232023-06-29
23일반배움터중부산 배움터부산광역시 중구 중앙대로 136 (중앙동4가) KT중부산플라자 1층35.109541129.0376591899-87232023-06-29
34일반배움터한마음평생교육관부산광역시 중구 대청로 63-1 (보수동1가) 한마음평생학습관35.103214129.0270381899-87232023-06-29
45일반배움터중구다함께 돌봄센터부산광역시 중구 초량상로7번길 11 (영주동) 중구 다함께 돌봄센터35.113213129.0341181899-87232023-06-29
56일반배움터대한노인회 중구지회부산광역시 중구 대청로99번길 22 (대청동2가) 대한노인회 중구지회35.104532129.0310581899-87232023-06-29
67거점센터서구청부산광역시 서구 구덕로 120 (토성동4가) 서구청 1층 전산교육장35.097539129.0234241899-87232023-06-29
78일반배움터부민노인복지관부산광역시 서구 부용로 30 (부용동2가) 부민노인복지관35.107436129.0180411899-87232023-06-29
89일반배움터협성르네상스 커뮤니티센터부산광역시 서구 대티로 159 (서대신동3가, 협성르네상스) 협성르네상스35.113097129.0105431899-87232023-06-29
910일반배움터서구노인복지관부산광역시 서구 장군산로46번길 21 (암남동) 서구노인복지관 2층 프로그램실35.073124129.0143471899-87232023-06-29
연번배움터구분배움터명도로명주소위도경도전화번호데이터기준일자
100101일반배움터모라종합사회복지관부산광역시 사상구 모라로110번길 129 모라종합사회복지관35.184944128.9978731899-87232023-06-29
101102일반배움터부산도서관부산광역시 사상구 사상로310번길 33 (덕포동) 부산도서관35.172725128.9852961899-87232023-06-29
102103일반배움터사상구 종합사회복지관부산광역시 사상구 백양대로 527 (주례동) 사상구종합사회복지관35.155431128.9947791899-87232023-06-29
103104일반배움터가포마을 행복센터(덕포시장)부산광역시 사상구 삼덕로46번안길 17-4 (삼락동) 가포마을행복센터35.171758128.9801251899-87232023-06-29
104105일반배움터르네시떼 교육장부산광역시 사상구 광장로7 르네시떼 시떼관 6층 교육장35.164332128.977721899-87232023-06-29
105106거점센터기장군청부산광역시 기장군 기장읍 기장대로 560 기장군청 멀티미디어 교육장35.243477129.2229511899-87232023-06-29
106107일반배움터정관LH5단지 커뮤니티센터부산광역시 기장군 정관읍 산단2로 60 (정관신도시 엘에이치 5단지) 정관신도시 엘에이치 5단지 커뮤니티센터35.318517129.1848321899-87232023-06-29
107108일반배움터사랑샘지역아동센터부산광역시 기장군 정관읍 정관로 580 사랑샘프라자 3층 307호35.320629129.1770761899-87232023-06-29
108109일반배움터꿈꾸는작은도서관부산광역시 기장군 정관읍 방곡로 29 (이지더원5차) 이지더원5차 505동 꿈구는작은도서관35.327867129.1881031899-87232023-06-29
109110일반배움터고촌어울림도서관부산광역시 기장군 철마면 고촌로 51 고촌 어울림 도서관35.238732129.1686941899-87232023-06-29