Overview

Dataset statistics

Number of variables10
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory85.8 B

Variable types

Numeric3
Categorical4
DateTime1
Text2

Dataset

Description부산광역시 금정구 관내 불법주정차 단속 무인카메라 현황( 설치위치, 장소, 설치연도) 정보입니다. 해당 공공데이터 내용을 참고바랍니다
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15040441/fileData.do

Alerts

설치목적 has constant value ""Constant
운용시간 has constant value ""Constant
설치기관 has constant value ""Constant
관리부서명 has constant value ""Constant
관리번호 has unique valuesUnique
설치장소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:00:51.207801
Analysis finished2023-12-12 22:00:52.931750
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T07:00:53.017731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-13T07:00:53.189910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

설치목적
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
불법주정차단속
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불법주정차단속 48
100.0%

Length

2023-12-13T07:00:53.341485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:53.436676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불법주정차단속 48
100.0%

설치년월
Date

Distinct24
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2005-12-01 00:00:00
Maximum2021-04-06 00:00:00
2023-12-13T07:00:53.560073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:53.720556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

설치장소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T07:00:53.919875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length11.125
Min length5

Characters and Unicode

Total characters534
Distinct characters137
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row부산대 정문사거리
2nd row부산대앞 부산은행사거리
3rd row서동 세웅병원
4th row행림병원
5th row두실지하철역 7번 출구
ValueCountFrequency (%)
앞 10
 
9.2%
부산대 5
 
4.6%
장전동 5
 
4.6%
구서동 5
 
4.6%
1번출구 4
 
3.7%
사거리 4
 
3.7%
부곡동 2
 
1.8%
노포동 2
 
1.8%
4번출구 2
 
1.8%
입구 2
 
1.8%
Other values (66) 68
62.4%
2023-12-13T07:00:54.296965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
18.0%
동 20
 
3.7%
산 18
 
3.4%
구 18
 
3.4%
앞 15
 
2.8%
부 14
 
2.6%
장 13
 
2.4%
사 11
 
2.1%
거 11
 
2.1%
리 11
 
2.1%
Other values (127) 307
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409
76.6%
Space Separator 96
 
18.0%
Decimal Number 15
 
2.8%
Uppercase Letter 6
 
1.1%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 20
 
4.9%
산 18
 
4.4%
구 18
 
4.4%
앞 15
 
3.7%
부 14
 
3.4%
장 13
 
3.2%
사 11
 
2.7%
거 11
 
2.7%
리 11
 
2.7%
서 10
 
2.4%
Other values (114) 268
65.5%
Decimal Number
ValueCountFrequency (%)
1 4
26.7%
2 3
20.0%
6 2
13.3%
8 2
13.3%
4 2
13.3%
7 1
 
6.7%
5 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
G 2
33.3%
K 1
 
16.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409
76.6%
Common 119
 
22.3%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 20
 
4.9%
산 18
 
4.4%
구 18
 
4.4%
앞 15
 
3.7%
부 14
 
3.4%
장 13
 
3.2%
사 11
 
2.7%
거 11
 
2.7%
리 11
 
2.7%
서 10
 
2.4%
Other values (114) 268
65.5%
Common
ValueCountFrequency (%)
96
80.7%
1 4
 
3.4%
( 4
 
3.4%
) 4
 
3.4%
2 3
 
2.5%
6 2
 
1.7%
8 2
 
1.7%
4 2
 
1.7%
7 1
 
0.8%
5 1
 
0.8%
Latin
ValueCountFrequency (%)
S 3
50.0%
G 2
33.3%
K 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409
76.6%
ASCII 125
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
76.8%
1 4
 
3.2%
( 4
 
3.2%
) 4
 
3.2%
S 3
 
2.4%
2 3
 
2.4%
G 2
 
1.6%
6 2
 
1.6%
8 2
 
1.6%
4 2
 
1.6%
Other values (3) 3
 
2.4%
Hangul
ValueCountFrequency (%)
동 20
 
4.9%
산 18
 
4.4%
구 18
 
4.4%
앞 15
 
3.7%
부 14
 
3.4%
장 13
 
3.2%
사 11
 
2.7%
거 11
 
2.7%
리 11
 
2.7%
서 10
 
2.4%
Other values (114) 268
65.5%

지번주소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-13T07:00:54.536534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.125
Min length15

Characters and Unicode

Total characters918
Distinct characters45
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row부산광역시 금정구 장전동 419-15
2nd row부산광역시 금정구 장전동 417-36
3rd row부산광역시 금정구 서2동 199-19
4th row부산광역시 금정구 구서2동 194-5
5th row부산광역시 금정구 구서동 175-24
ValueCountFrequency (%)
부산광역시 48
25.7%
금정구 45
24.1%
장전동 15
 
8.0%
구서동 10
 
5.3%
남산동 6
 
3.2%
부곡동 5
 
2.7%
노포동 3
 
1.6%
652-10 1
 
0.5%
413-3 1
 
0.5%
105-7 1
 
0.5%
Other values (52) 52
27.8%
2023-12-13T07:00:54.943777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
15.5%
구 56
 
6.1%
산 54
 
5.9%
부 53
 
5.8%
광 48
 
5.2%
역 48
 
5.2%
시 48
 
5.2%
금 48
 
5.2%
정 46
 
5.0%
동 43
 
4.7%
Other values (35) 332
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
57.2%
Decimal Number 211
23.0%
Space Separator 142
 
15.5%
Dash Punctuation 40
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 56
10.7%
산 54
10.3%
부 53
10.1%
광 48
9.1%
역 48
9.1%
시 48
9.1%
금 48
9.1%
정 46
8.8%
동 43
8.2%
장 15
 
2.9%
Other values (23) 66
12.6%
Decimal Number
ValueCountFrequency (%)
1 41
19.4%
2 33
15.6%
3 30
14.2%
4 24
11.4%
5 19
9.0%
9 15
 
7.1%
7 15
 
7.1%
6 12
 
5.7%
8 11
 
5.2%
0 11
 
5.2%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
57.2%
Common 393
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 56
10.7%
산 54
10.3%
부 53
10.1%
광 48
9.1%
역 48
9.1%
시 48
9.1%
금 48
9.1%
정 46
8.8%
동 43
8.2%
장 15
 
2.9%
Other values (23) 66
12.6%
Common
ValueCountFrequency (%)
142
36.1%
1 41
 
10.4%
- 40
 
10.2%
2 33
 
8.4%
3 30
 
7.6%
4 24
 
6.1%
5 19
 
4.8%
9 15
 
3.8%
7 15
 
3.8%
6 12
 
3.1%
Other values (2) 22
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
57.2%
ASCII 393
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
36.1%
1 41
 
10.4%
- 40
 
10.2%
2 33
 
8.4%
3 30
 
7.6%
4 24
 
6.1%
5 19
 
4.8%
9 15
 
3.8%
7 15
 
3.8%
6 12
 
3.1%
Other values (2) 22
 
5.6%
Hangul
ValueCountFrequency (%)
구 56
10.7%
산 54
10.3%
부 53
10.1%
광 48
9.1%
역 48
9.1%
시 48
9.1%
금 48
9.1%
정 46
8.8%
동 43
8.2%
장 15
 
2.9%
Other values (23) 66
12.6%

위도
Real number (ℝ)

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.245366
Minimum35.21433
Maximum35.289907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T07:00:55.097694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.21433
5-th percentile35.219929
Q135.229552
median35.244946
Q335.256753
95-th percentile35.281567
Maximum35.289907
Range0.075577
Interquartile range (IQR)0.027201

Descriptive statistics

Standard deviation0.019492332
Coefficient of variation (CV)0.00055304666
Kurtosis-0.48776339
Mean35.245366
Median Absolute Deviation (MAD)0.015088
Skewness0.54178056
Sum1691.7776
Variance0.000379951
MonotonicityNot monotonic
2023-12-13T07:00:55.276735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
35.275713 2
 
4.2%
35.231305 1
 
2.1%
35.245162 1
 
2.1%
35.224278 1
 
2.1%
35.246609 1
 
2.1%
35.266422 1
 
2.1%
35.21433 1
 
2.1%
35.227327 1
 
2.1%
35.267075 1
 
2.1%
35.265574 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
35.21433 1
2.1%
35.214394 1
2.1%
35.219532 1
2.1%
35.220667 1
2.1%
35.224278 1
2.1%
35.224323 1
2.1%
35.227327 1
2.1%
35.228604 1
2.1%
35.229077 1
2.1%
35.229133 1
2.1%
ValueCountFrequency (%)
35.289907 1
2.1%
35.286913 1
2.1%
35.284719 1
2.1%
35.275713 2
4.2%
35.270768 1
2.1%
35.267075 1
2.1%
35.266422 1
2.1%
35.265574 1
2.1%
35.26505 1
2.1%
35.264623 1
2.1%

경도
Real number (ℝ)

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08993
Minimum129.08167
Maximum129.11184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-13T07:00:55.430877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.08167
5-th percentile129.08355
Q1129.08619
median129.08879
Q3129.09147
95-th percentile129.10151
Maximum129.11184
Range0.03017
Interquartile range (IQR)0.0052755

Descriptive statistics

Standard deviation0.00588955
Coefficient of variation (CV)4.5623622 × 10-5
Kurtosis4.9760684
Mean129.08993
Median Absolute Deviation (MAD)0.0027205
Skewness1.9256906
Sum6196.3165
Variance3.46868 × 10-5
MonotonicityNot monotonic
2023-12-13T07:00:55.880523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
129.088789 2
 
4.2%
129.084922 1
 
2.1%
129.08851 1
 
2.1%
129.085834 1
 
2.1%
129.088537 1
 
2.1%
129.092426 1
 
2.1%
129.108358 1
 
2.1%
129.083362 1
 
2.1%
129.083886 1
 
2.1%
129.085267 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
129.081671 1
2.1%
129.082037 1
2.1%
129.083362 1
2.1%
129.083886 1
2.1%
129.084365 1
2.1%
129.084426 1
2.1%
129.08457 1
2.1%
129.084922 1
2.1%
129.085267 1
2.1%
129.085795 1
2.1%
ValueCountFrequency (%)
129.111841 1
2.1%
129.108358 1
2.1%
129.104067 1
2.1%
129.096774 1
2.1%
129.09543 1
2.1%
129.094519 1
2.1%
129.094477 1
2.1%
129.092438 1
2.1%
129.092426 1
2.1%
129.092145 1
2.1%

운용시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
07:00~22:00
48 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07:00~22:00
2nd row07:00~22:00
3rd row07:00~22:00
4th row07:00~22:00
5th row07:00~22:00

Common Values

ValueCountFrequency (%)
07:00~22:00 48
100.0%

Length

2023-12-13T07:00:56.011220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:56.131041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07:00~22:00 48
100.0%

설치기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
금정구청
48 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금정구청 48
100.0%

Length

2023-12-13T07:00:56.272501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:56.390543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금정구청 48
100.0%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
교통행정과
48 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통행정과 48
100.0%

Length

2023-12-13T07:00:56.486738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:56.573670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통행정과 48
100.0%

Interactions

2023-12-13T07:00:52.260643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:51.551982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:51.912045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:52.383877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:51.687754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:52.027373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:52.505255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:51.807321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:52.142546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:00:56.638982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호설치년월설치장소지번주소위도경도
관리번호1.0000.9641.0001.0000.7420.360
설치년월0.9641.0001.0001.0000.7010.278
설치장소1.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.000
위도0.7420.7011.0001.0001.0000.534
경도0.3600.2781.0001.0000.5341.000
2023-12-13T07:00:56.767230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호위도경도
관리번호1.0000.211-0.043
위도0.2111.0000.281
경도-0.0430.2811.000

Missing values

2023-12-13T07:00:52.655796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:00:52.846846image/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

관리번호설치목적설치년월설치장소지번주소위도경도운용시간설치기관관리부서명
01불법주정차단속2005-12-01부산대 정문사거리부산광역시 금정구 장전동 419-1535.231305129.08492207:00~22:00금정구청교통행정과
12불법주정차단속2005-12-01부산대앞 부산은행사거리부산광역시 금정구 장전동 417-3635.231388129.08626407:00~22:00금정구청교통행정과
23불법주정차단속2005-12-01서동 세웅병원부산광역시 금정구 서2동 199-1935.214394129.10406707:00~22:00금정구청교통행정과
34불법주정차단속2006-03-01행림병원부산광역시 금정구 구서2동 194-535.254427129.09103407:00~22:00금정구청교통행정과
45불법주정차단속2006-03-01두실지하철역 7번 출구부산광역시 금정구 구서동 175-2435.257763129.09105607:00~22:00금정구청교통행정과
56불법주정차단속2006-03-01장전동 치안센터부산광역시 금정구 장전동 422-1135.229077129.08598407:00~22:00금정구청교통행정과
67불법주정차단속2006-03-01부산대 북측공영주차장부산광역시 금정구 장전동 413-2735.231224129.08876407:00~22:00금정구청교통행정과
78불법주정차단속2006-03-01구서동 이마트부산광역시 금정구 구서동 252-3335.249049129.08967307:00~22:00금정구청교통행정과
89불법주정차단속2007-03-01개좌로 68부산광역시 금정구 금사동 68-3135.219532129.11184107:00~22:00금정구청교통행정과
910불법주정차단속2007-03-01온천장 지하철 4번출구 앞부산광역시 금정구 부곡동 873-3535.220667129.08713607:00~22:00금정구청교통행정과
관리번호설치목적설치년월설치장소지번주소위도경도운용시간설치기관관리부서명
3839불법주정차단속2017-02-01부산대 후문사거리부산광역시 금정구 장전동 424-1535.229214129.08436507:00~22:00금정구청교통행정과
3940불법주정차단속2017-06-01금정문화회관부산광역시 금정구 체육공원로 735.245916129.09447707:00~22:00금정구청교통행정과
4041불법주정차단속2018-04-01두실 구서 초등학교 사거리부산광역시 금정구 구서동 203-1935.253428129.08809507:00~22:00금정구청교통행정과
4142불법주정차단속2019-12-01젊음의 광장 사거리부산광역시 금정구 장전동 293-17435.229452129.08802707:00~22:00금정구청교통행정과
4243불법주정차단속2019-12-01맥도날드 앞부산광역시 금정구 장전동 302-1335.229585129.08728107:00~22:00금정구청교통행정과
4344불법주정차단속2020-12-01구서오시게시장부산광역시 금정구 구서동 47435.2456129.08850607:00~22:00금정구청교통행정과
4445불법주정차단속2020-12-01청룡탕앞 사거리(청룡노포동행정복지센터)부산광역시 금정구 청룡로 3435.275713129.08878907:00~22:00금정구청교통행정과
4546불법주정차단속2021-04-06동상초등학교 입구부산광역시 금정구 반송로38735.275713129.08878907:00~22:00금정구청교통행정과
4647불법주정차단속2018-04-07두실초등학교 입구부산광역시 금정구 중앙대로189335.253274129.09113607:00~22:00금정구청교통행정과
4748불법주정차단속2018-04-08금정로68번길(장전동GS25)부산광역시 금정구 금정로68번길1535.251664129.09677407:00~22:00금정구청교통행정과