Overview

Dataset statistics

Number of variables8
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory67.4 B

Variable types

Categorical4
Text2
Numeric2

Dataset

Description부산광역시_금정구_다중이용시설실내공기질관리대상현황_20230309
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15043138

Alerts

관리기관명 has constant value ""Constant
구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:19:42.419352
Analysis finished2023-12-10 16:19:43.531380
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상시설구분
Categorical

Distinct13
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
의료기관
28 
보육시설
20 
pc방
13 
노인요양시설
7 
지하역사
5 
Other values (8)
19 

Length

Max length10
Median length4
Mean length4.2826087
Min length3

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
의료기관 28
30.4%
보육시설 20
21.7%
pc방 13
14.1%
노인요양시설 7
 
7.6%
지하역사 5
 
5.4%
실내주차장 5
 
5.4%
대규모점포 3
 
3.3%
목욕장업 3
 
3.3%
도서관 2
 
2.2%
영화상영관 2
 
2.2%
Other values (3) 4
 
4.3%

Length

2023-12-11T01:19:43.595580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의료기관 28
29.8%
보육시설 20
21.3%
pc방 13
13.8%
노인요양시설 7
 
7.4%
지하역사 5
 
5.3%
실내주차장 5
 
5.3%
대규모점포 3
 
3.2%
목욕장업 3
 
3.2%
도서관 2
 
2.1%
영화상영관 2
 
2.1%
Other values (4) 6
 
6.4%

시설명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-11T01:19:43.795782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length9.1521739
Min length3

Characters and Unicode

Total characters842
Distinct characters194
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st row범어사역(1호선)
2nd row남산역(1호선)
3rd row두실역(1호선)
4th row서동역(4호선)
5th row금사역(4호선)
ValueCountFrequency (%)
의료법인 10
 
7.6%
pc 5
 
3.8%
ox 2
 
1.5%
부산대점 2
 
1.5%
어린이집 2
 
1.5%
nc 2
 
1.5%
시즌2 1
 
0.8%
바벨pc 1
 
0.8%
㈜스포케이 1
 
0.8%
애광노인요양원 1
 
0.8%
Other values (105) 105
79.5%
2023-12-11T01:19:44.130024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
5.0%
원 36
 
4.3%
이 28
 
3.3%
병 28
 
3.3%
양 22
 
2.6%
어 21
 
2.5%
린 21
 
2.5%
의 21
 
2.5%
료 21
 
2.5%
요 21
 
2.5%
Other values (184) 581
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 716
85.0%
Uppercase Letter 47
 
5.6%
Space Separator 42
 
5.0%
Close Punctuation 11
 
1.3%
Open Punctuation 11
 
1.3%
Decimal Number 10
 
1.2%
Lowercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 36
 
5.0%
이 28
 
3.9%
병 28
 
3.9%
양 22
 
3.1%
어 21
 
2.9%
린 21
 
2.9%
의 21
 
2.9%
료 21
 
2.9%
요 21
 
2.9%
집 20
 
2.8%
Other values (160) 477
66.6%
Uppercase Letter
ValueCountFrequency (%)
P 16
34.0%
C 15
31.9%
O 4
 
8.5%
N 3
 
6.4%
X 2
 
4.3%
B 2
 
4.3%
A 1
 
2.1%
F 1
 
2.1%
H 1
 
2.1%
S 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
3 2
20.0%
4 2
20.0%
2 1
 
10.0%
7 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 717
85.2%
Common 76
 
9.0%
Latin 49
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 36
 
5.0%
이 28
 
3.9%
병 28
 
3.9%
양 22
 
3.1%
어 21
 
2.9%
린 21
 
2.9%
의 21
 
2.9%
료 21
 
2.9%
요 21
 
2.9%
집 20
 
2.8%
Other values (161) 478
66.7%
Latin
ValueCountFrequency (%)
P 16
32.7%
C 15
30.6%
O 4
 
8.2%
N 3
 
6.1%
X 2
 
4.1%
B 2
 
4.1%
A 1
 
2.0%
F 1
 
2.0%
c 1
 
2.0%
H 1
 
2.0%
Other values (3) 3
 
6.1%
Common
ValueCountFrequency (%)
42
55.3%
) 11
 
14.5%
( 11
 
14.5%
1 4
 
5.3%
3 2
 
2.6%
4 2
 
2.6%
? 1
 
1.3%
2 1
 
1.3%
7 1
 
1.3%
- 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 716
85.0%
ASCII 125
 
14.8%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
33.6%
P 16
 
12.8%
C 15
 
12.0%
) 11
 
8.8%
( 11
 
8.8%
1 4
 
3.2%
O 4
 
3.2%
N 3
 
2.4%
X 2
 
1.6%
3 2
 
1.6%
Other values (13) 15
 
12.0%
Hangul
ValueCountFrequency (%)
원 36
 
5.0%
이 28
 
3.9%
병 28
 
3.9%
양 22
 
3.1%
어 21
 
2.9%
린 21
 
2.9%
의 21
 
2.9%
료 21
 
2.9%
요 21
 
2.9%
집 20
 
2.8%
Other values (160) 477
66.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-11T01:19:44.362626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length26.728261
Min length20

Characters and Unicode

Total characters2459
Distinct characters112
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

Unique83 ?
Unique (%)90.2%

Sample

1st row부산광역시 금정구 중앙대로 지하 2107(청룡동)
2nd row부산광역시 금정구 중앙대로 지하 2019-1(남산동)
3rd row부산광역시 금정구 중앙대로 1927-1(구서동)
4th row부산광역시 금정구 반송로 지하 387(서동)
5th row부산광역시 금정구 반송로 지하 465(금사동)
ValueCountFrequency (%)
부산광역시 92
20.3%
금정구 92
20.3%
중앙대로 18
 
4.0%
구서동 12
 
2.6%
장전동 11
 
2.4%
부곡동 10
 
2.2%
금강로 8
 
1.8%
금샘로 6
 
1.3%
서동 5
 
1.1%
남산동 5
 
1.1%
Other values (159) 195
43.0%
2023-12-11T01:19:44.744187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
15.0%
부 123
 
5.0%
금 123
 
5.0%
구 113
 
4.6%
산 110
 
4.5%
동 101
 
4.1%
정 96
 
3.9%
시 93
 
3.8%
역 92
 
3.7%
광 92
 
3.7%
Other values (102) 1148
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1503
61.1%
Space Separator 368
 
15.0%
Decimal Number 362
 
14.7%
Open Punctuation 92
 
3.7%
Close Punctuation 92
 
3.7%
Other Punctuation 23
 
0.9%
Dash Punctuation 9
 
0.4%
Uppercase Letter 6
 
0.2%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 123
 
8.2%
금 123
 
8.2%
구 113
 
7.5%
산 110
 
7.3%
동 101
 
6.7%
정 96
 
6.4%
시 93
 
6.2%
역 92
 
6.1%
광 92
 
6.1%
로 91
 
6.1%
Other values (80) 469
31.2%
Decimal Number
ValueCountFrequency (%)
1 73
20.2%
2 50
13.8%
7 39
10.8%
3 35
9.7%
5 34
9.4%
9 30
8.3%
4 28
 
7.7%
6 27
 
7.5%
0 26
 
7.2%
8 20
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
W 1
16.7%
E 1
16.7%
I 1
16.7%
V 1
16.7%
K 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
368
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1503
61.1%
Common 950
38.6%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 123
 
8.2%
금 123
 
8.2%
구 113
 
7.5%
산 110
 
7.3%
동 101
 
6.7%
정 96
 
6.4%
시 93
 
6.2%
역 92
 
6.1%
광 92
 
6.1%
로 91
 
6.1%
Other values (80) 469
31.2%
Common
ValueCountFrequency (%)
368
38.7%
( 92
 
9.7%
) 92
 
9.7%
1 73
 
7.7%
2 50
 
5.3%
7 39
 
4.1%
3 35
 
3.7%
5 34
 
3.6%
9 30
 
3.2%
4 28
 
2.9%
Other values (6) 109
 
11.5%
Latin
ValueCountFrequency (%)
W 1
16.7%
E 1
16.7%
I 1
16.7%
V 1
16.7%
K 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1503
61.1%
ASCII 956
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
38.5%
( 92
 
9.6%
) 92
 
9.6%
1 73
 
7.6%
2 50
 
5.2%
7 39
 
4.1%
3 35
 
3.7%
5 34
 
3.6%
9 30
 
3.1%
4 28
 
2.9%
Other values (12) 115
 
12.0%
Hangul
ValueCountFrequency (%)
부 123
 
8.2%
금 123
 
8.2%
구 113
 
7.5%
산 110
 
7.3%
동 101
 
6.7%
정 96
 
6.4%
시 93
 
6.2%
역 92
 
6.1%
광 92
 
6.1%
로 91
 
6.1%
Other values (80) 469
31.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
부산광역시 금정구청
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 금정구청 92
100.0%

Length

2023-12-11T01:19:44.875740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:44.955376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 92
50.0%
금정구청 92
50.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
부산광역시 금정구
92 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 금정구 92
100.0%

Length

2023-12-11T01:19:45.030806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:45.107050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 92
50.0%
금정구 92
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-03-09
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-09
2nd row2023-03-09
3rd row2023-03-09
4th row2023-03-09
5th row2023-03-09

Common Values

ValueCountFrequency (%)
2023-03-09 92
100.0%

Length

2023-12-11T01:19:45.192371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:19:45.267777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-09 92
100.0%

위도
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.238759
Minimum35.151331
Maximum35.294557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T01:19:45.360283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.151331
5-th percentile35.214354
Q135.226311
median35.233677
Q335.254341
95-th percentile35.273845
Maximum35.294557
Range0.143226
Interquartile range (IQR)0.02802975

Descriptive statistics

Standard deviation0.021310275
Coefficient of variation (CV)0.00060473965
Kurtosis2.1614524
Mean35.238759
Median Absolute Deviation (MAD)0.0144005
Skewness-0.18889808
Sum3241.9658
Variance0.00045412781
MonotonicityNot monotonic
2023-12-11T01:19:45.498749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.228935 2
 
2.2%
35.261998 2
 
2.2%
35.216024 2
 
2.2%
35.214346 2
 
2.2%
35.245908 2
 
2.2%
35.231613 2
 
2.2%
35.228256 1
 
1.1%
35.260304 1
 
1.1%
35.231712 1
 
1.1%
35.277653 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
35.151331 1
1.1%
35.213333 1
1.1%
35.213882 1
1.1%
35.214346 2
2.2%
35.21436 1
1.1%
35.21438 1
1.1%
35.214486 1
1.1%
35.214575 1
1.1%
35.214983 1
1.1%
35.215814 1
1.1%
ValueCountFrequency (%)
35.294557 1
1.1%
35.284897 1
1.1%
35.277653 1
1.1%
35.27682 1
1.1%
35.275219 1
1.1%
35.27272 1
1.1%
35.2726 1
1.1%
35.271833 1
1.1%
35.271284 1
1.1%
35.265412 1
1.1%

경도
Real number (ℝ)

Distinct86
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0912
Minimum129.03536
Maximum129.11847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T01:19:45.664742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.03536
5-th percentile129.07625
Q1129.08637
median129.09056
Q3129.09391
95-th percentile129.11284
Maximum129.11847
Range0.083106
Interquartile range (IQR)0.00754725

Descriptive statistics

Standard deviation0.011224894
Coefficient of variation (CV)8.6953213 × 10-5
Kurtosis6.2289545
Mean129.0912
Median Absolute Deviation (MAD)0.0038415
Skewness-0.72352368
Sum11876.39
Variance0.00012599825
MonotonicityNot monotonic
2023-12-11T01:19:45.797453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.075208 2
 
2.2%
129.091223 2
 
2.2%
129.114024 2
 
2.2%
129.108185 2
 
2.2%
129.094404 2
 
2.2%
129.077126 2
 
2.2%
129.089801 1
 
1.1%
129.088007 1
 
1.1%
129.076109 1
 
1.1%
129.089029 1
 
1.1%
Other values (76) 76
82.6%
ValueCountFrequency (%)
129.035364 1
1.1%
129.075208 2
2.2%
129.076109 1
1.1%
129.076176 1
1.1%
129.076309 1
1.1%
129.077101 1
1.1%
129.077126 2
2.2%
129.082459 1
1.1%
129.082783 1
1.1%
129.083388 1
1.1%
ValueCountFrequency (%)
129.11847 1
1.1%
129.11515 1
1.1%
129.114512 1
1.1%
129.114024 2
2.2%
129.111873 1
1.1%
129.109896 1
1.1%
129.108185 2
2.2%
129.107703 1
1.1%
129.105848 1
1.1%
129.105571 1
1.1%

Interactions

2023-12-11T01:19:42.930524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:42.771098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:43.018487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:19:42.853261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:19:45.899480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대상시설구분시설명소재지위도경도
대상시설구분1.0001.0000.0000.4840.520
시설명1.0001.0001.0001.0001.000
소재지0.0001.0001.0000.9920.958
위도0.4841.0000.9921.0000.826
경도0.5201.0000.9580.8261.000
2023-12-11T01:19:46.014276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도대상시설구분
위도1.000-0.0930.238
경도-0.0931.0000.228
대상시설구분0.2380.2281.000

Missing values

2023-12-11T01:19:43.379904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:19:43.488935image/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

대상시설구분시설명소재지관리기관명구군명데이터기준일자위도경도
0지하역사범어사역(1호선)부산광역시 금정구 중앙대로 지하 2107(청룡동)부산광역시 금정구청부산광역시 금정구2023-03-0935.27272129.092678
1지하역사남산역(1호선)부산광역시 금정구 중앙대로 지하 2019-1(남산동)부산광역시 금정구청부산광역시 금정구2023-03-0935.265412129.092499
2지하역사두실역(1호선)부산광역시 금정구 중앙대로 1927-1(구서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.256958129.091381
3지하역사서동역(4호선)부산광역시 금정구 반송로 지하 387(서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.213333129.107703
4지하역사금사역(4호선)부산광역시 금정구 반송로 지하 465(금사동)부산광역시 금정구청부산광역시 금정구2023-03-0935.215814129.11515
5여객자동차터미널부산종합버스터미널부산광역시 금정구 중앙대로 2238 (노포동)부산광역시 금정구청부산광역시 금정구2023-03-0935.284897129.095587
6도서관금정도서관부산광역시 금정구 금정도서관로 33 (청룡동)부산광역시 금정구청부산광역시 금정구2023-03-0935.2726129.096188
7의료기관세웅병원부산광역시 금정구 서동로 162 (서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.214486129.104115
8의료기관서동제일요양병원부산광역시 금정구 서동로 172 (서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.21436129.105212
9의료기관의료법인 대성사랑의료재단 제일요양병원부산광역시 금정구 서부로 56 (서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.218319129.101
대상시설구분시설명소재지관리기관명구군명데이터기준일자위도경도
82실내 어린이놀이시설코코몽 키즈랜드 부산대점부산광역시 금정구 부산대학로63번길 2(장전동)부산광역시 금정구청부산광역시 금정구2023-03-0935.232288129.083653
83실내 어린이놀이시설키즈몬부산광역시 금정구 청룡로 7(청룡동)부산광역시 금정구청부산광역시 금정구2023-03-0935.275219129.09188
84의료기관단골병원부산광역시 금정구 중앙대로 1829, 5~10, 14층(구서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.247669129.09196
85실내주차장효산 테라스파크부산광역시 금정구 중앙대로 1989(남산동)부산광역시 금정구청부산광역시 금정구2023-03-0935.261998129.091223
86의료기관화창한병원부산광역시 금정구 중앙대로 1685번길 12, 지하2~6층 (부곡동)부산광역시 금정구청부산광역시 금정구2023-03-0935.235067129.091052
87pc방바벨PC 시즌2부산광역시 금정구 금강로565번길 26(구서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.258242129.0863
88의료기관지온병원부산광역시 금정구 온천장로 146,지하1층,지상3~11층(장전동)부산광역시 금정구청부산광역시 금정구2023-03-0935.22355129.0857
89pc방OX PC 두실역점부산광역시 금정구 중앙대로1929번길 11, 3층 (구서동)부산광역시 금정구청부산광역시 금정구2023-03-0935.25647129.09049
90도서관금샘도서관부산광역시 금정구 기찰로 94 (부곡동)부산광역시 금정구청부산광역시 금정구2023-03-0935.23889129.0941
91pc방비비PC방부산광역시 금정구 금강로 252-1, 근영테크빌 201호(장전동)부산광역시 금정구청부산광역시 금정구2023-03-0935.23058129.0853