Overview

Dataset statistics

Number of variables12
Number of observations770
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.1 KiB
Average record size in memory101.2 B

Variable types

Categorical6
Text1
Numeric3
DateTime2

Dataset

Description경상남도 거제시의 CCTV 현황 자료이며 소재지지번주소, 설치목적, 카메라대수, 화소수, 설치년월, 위도, 경도 등의 자료를 포함하고 있습니다
URLhttps://www.data.go.kr/data/15120165/fileData.do

Alerts

관리기관명 has constant value ""Constant
촬영방면정보 has constant value ""Constant
보관일수 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
카메라화소수 is highly imbalanced (98.6%)Imbalance

Reproduction

Analysis started2023-12-12 00:48:38.874137
Analysis finished2023-12-12 00:48:41.004098
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
경상남도 거제시청
770 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 거제시청
2nd row경상남도 거제시청
3rd row경상남도 거제시청
4th row경상남도 거제시청
5th row경상남도 거제시청

Common Values

ValueCountFrequency (%)
경상남도 거제시청 770
100.0%

Length

2023-12-12T09:48:41.088129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:41.207624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 770
50.0%
거제시청 770
50.0%

소재지지번주소
Text

Distinct753
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T09:48:41.479862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length27.607792
Min length16

Characters and Unicode

Total characters21258
Distinct characters409
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique736 ?
Unique (%)95.6%

Sample

1st row경상남도 거제시 하청면 대곡리 889
2nd row경상남도 거제시 하청면 대곡리 870
3rd row경상남도 거제시 하청면 대곡리 810-2
4th row경상남도 거제시 하청면 하청리 543-4
5th row경상남도 거제시 하청면 하청리 267-6
ValueCountFrequency (%)
거제시 776
 
19.0%
경상남도 770
 
18.9%
앞 112
 
2.7%
고현동 108
 
2.6%
옥포동 59
 
1.4%
장평동 53
 
1.3%
사등면 49
 
1.2%
연초면 48
 
1.2%
아주동 44
 
1.1%
입구 34
 
0.8%
Other values (1243) 2029
49.7%
2023-12-12T09:48:41.978898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3312
 
15.6%
거 949
 
4.5%
제 885
 
4.2%
상 848
 
4.0%
도 815
 
3.8%
시 808
 
3.8%
남 801
 
3.8%
경 777
 
3.7%
1 648
 
3.0%
동 588
 
2.8%
Other values (399) 10827
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13282
62.5%
Space Separator 3312
 
15.6%
Decimal Number 3087
 
14.5%
Dash Punctuation 534
 
2.5%
Close Punctuation 459
 
2.2%
Open Punctuation 459
 
2.2%
Other Punctuation 68
 
0.3%
Uppercase Letter 45
 
0.2%
Lowercase Letter 7
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 949
 
7.1%
제 885
 
6.7%
상 848
 
6.4%
도 815
 
6.1%
시 808
 
6.1%
남 801
 
6.0%
경 777
 
5.9%
동 588
 
4.4%
리 359
 
2.7%
포 298
 
2.2%
Other values (363) 6154
46.3%
Uppercase Letter
ValueCountFrequency (%)
C 9
20.0%
S 9
20.0%
G 6
13.3%
I 5
11.1%
U 5
11.1%
K 3
 
6.7%
T 2
 
4.4%
P 2
 
4.4%
J 1
 
2.2%
M 1
 
2.2%
Other values (2) 2
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 648
21.0%
2 374
12.1%
3 320
10.4%
5 295
9.6%
4 258
 
8.4%
6 251
 
8.1%
9 247
 
8.0%
7 238
 
7.7%
0 235
 
7.6%
8 221
 
7.2%
Other Punctuation
ValueCountFrequency (%)
, 60
88.2%
# 6
 
8.8%
/ 1
 
1.5%
@ 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
f 2
28.6%
u 2
28.6%
n 2
28.6%
m 1
14.3%
Math Symbol
ValueCountFrequency (%)
> 4
80.0%
~ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%
Close Punctuation
ValueCountFrequency (%)
) 459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 459
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13282
62.5%
Common 7924
37.3%
Latin 52
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 949
 
7.1%
제 885
 
6.7%
상 848
 
6.4%
도 815
 
6.1%
시 808
 
6.1%
남 801
 
6.0%
경 777
 
5.9%
동 588
 
4.4%
리 359
 
2.7%
포 298
 
2.2%
Other values (363) 6154
46.3%
Common
ValueCountFrequency (%)
3312
41.8%
1 648
 
8.2%
- 534
 
6.7%
) 459
 
5.8%
( 459
 
5.8%
2 374
 
4.7%
3 320
 
4.0%
5 295
 
3.7%
4 258
 
3.3%
6 251
 
3.2%
Other values (10) 1014
 
12.8%
Latin
ValueCountFrequency (%)
C 9
17.3%
S 9
17.3%
G 6
11.5%
I 5
9.6%
U 5
9.6%
K 3
 
5.8%
T 2
 
3.8%
P 2
 
3.8%
f 2
 
3.8%
u 2
 
3.8%
Other values (6) 7
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13282
62.5%
ASCII 7976
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3312
41.5%
1 648
 
8.1%
- 534
 
6.7%
) 459
 
5.8%
( 459
 
5.8%
2 374
 
4.7%
3 320
 
4.0%
5 295
 
3.7%
4 258
 
3.2%
6 251
 
3.1%
Other values (26) 1066
 
13.4%
Hangul
ValueCountFrequency (%)
거 949
 
7.1%
제 885
 
6.7%
상 848
 
6.4%
도 815
 
6.1%
시 808
 
6.1%
남 801
 
6.0%
경 777
 
5.9%
동 588
 
4.4%
리 359
 
2.7%
포 298
 
2.2%
Other values (363) 6154
46.3%

설치목적구분
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
생활방범
345 
어린이보호
152 
재난재해
75 
교통단속
62 
차량방범
57 
Other values (3)
79 

Length

Max length5
Median length4
Mean length4.1545455
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활방범
2nd row생활방범
3rd row생활방범
4th row생활방범
5th row재난재해

Common Values

ValueCountFrequency (%)
생활방범 345
44.8%
어린이보호 152
19.7%
재난재해 75
 
9.7%
교통단속 62
 
8.1%
차량방범 57
 
7.4%
다목적 56
 
7.3%
쓰레기단속 19
 
2.5%
시설물관리 4
 
0.5%

Length

2023-12-12T09:48:42.163173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:42.355812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활방범 345
44.8%
어린이보호 152
19.7%
재난재해 75
 
9.7%
교통단속 62
 
8.1%
차량방범 57
 
7.4%
다목적 56
 
7.3%
쓰레기단속 19
 
2.5%
시설물관리 4
 
0.5%

카메라대수
Real number (ℝ)

Distinct9
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7571429
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T09:48:42.499452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2747348
Coefficient of variation (CV)0.46233906
Kurtosis1.484361
Mean2.7571429
Median Absolute Deviation (MAD)1
Skewness0.83993017
Sum2123
Variance1.6249489
MonotonicityNot monotonic
2023-12-12T09:48:42.648368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 247
32.1%
3 201
26.1%
4 140
18.2%
1 118
15.3%
5 48
 
6.2%
6 10
 
1.3%
9 2
 
0.3%
7 2
 
0.3%
8 2
 
0.3%
ValueCountFrequency (%)
1 118
15.3%
2 247
32.1%
3 201
26.1%
4 140
18.2%
5 48
 
6.2%
6 10
 
1.3%
7 2
 
0.3%
8 2
 
0.3%
9 2
 
0.3%
ValueCountFrequency (%)
9 2
 
0.3%
8 2
 
0.3%
7 2
 
0.3%
6 10
 
1.3%
5 48
 
6.2%
4 140
18.2%
3 201
26.1%
2 247
32.1%
1 118
15.3%

카메라화소수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
200
769 
130
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row200
2nd row200
3rd row200
4th row200
5th row200

Common Values

ValueCountFrequency (%)
200 769
99.9%
130 1
 
0.1%

Length

2023-12-12T09:48:42.798468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:42.940651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 769
99.9%
130 1
 
0.1%

촬영방면정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
70도
770 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70도
2nd row70도
3rd row70도
4th row70도
5th row70도

Common Values

ValueCountFrequency (%)
70도 770
100.0%

Length

2023-12-12T09:48:43.064323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:43.184331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
70도 770
100.0%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
30
770 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30
2nd row30
3rd row30
4th row30
5th row30

Common Values

ValueCountFrequency (%)
30 770
100.0%

Length

2023-12-12T09:48:43.330745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:43.466081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 770
100.0%

설치년월
Date

Distinct84
Distinct (%)11.0%
Missing3
Missing (%)0.4%
Memory size6.1 KiB
Minimum2023-01-12 00:00:00
Maximum2023-12-22 00:00:00
2023-12-12T09:48:43.623983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:43.814646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
055-639-3681
770 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-639-3681
2nd row055-639-3681
3rd row055-639-3681
4th row055-639-3681
5th row055-639-3681

Common Values

ValueCountFrequency (%)
055-639-3681 770
100.0%

Length

2023-12-12T09:48:43.982804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:48:44.099114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-639-3681 770
100.0%

위도
Real number (ℝ)

Distinct727
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.879909
Minimum34.706714
Maximum35.030189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T09:48:44.248648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.706714
5-th percentile34.788482
Q134.865214
median34.887201
Q334.894719
95-th percentile34.95796
Maximum35.030189
Range0.32347493
Interquartile range (IQR)0.029505095

Descriptive statistics

Standard deviation0.047427622
Coefficient of variation (CV)0.0013597404
Kurtosis3.1602128
Mean34.879909
Median Absolute Deviation (MAD)0.01522779
Skewness-0.551916
Sum26857.53
Variance0.0022493794
MonotonicityNot monotonic
2023-12-12T09:48:44.421769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8905 4
 
0.5%
34.8951 3
 
0.4%
34.8879 3
 
0.4%
34.8933 3
 
0.4%
34.8929 3
 
0.4%
34.8868 2
 
0.3%
34.8888 2
 
0.3%
34.889 2
 
0.3%
34.8851 2
 
0.3%
34.8887 2
 
0.3%
Other values (717) 744
96.6%
ValueCountFrequency (%)
34.70671429 1
0.1%
34.708271 1
0.1%
34.71452115 1
0.1%
34.71475117 1
0.1%
34.71525554 1
0.1%
34.72044847 1
0.1%
34.7205 1
0.1%
34.72531111 1
0.1%
34.7256 1
0.1%
34.72620962 1
0.1%
ValueCountFrequency (%)
35.03018922 1
0.1%
35.02867851 1
0.1%
35.02793942 1
0.1%
35.02726151 1
0.1%
35.01057069 1
0.1%
35.009151 1
0.1%
35.00907322 1
0.1%
35.0084 1
0.1%
35.00813523 1
0.1%
35.00613731 1
0.1%

경도
Real number (ℝ)

Distinct739
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.645
Minimum128.4731
Maximum128.74263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T09:48:44.608871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.4731
5-th percentile128.5168
Q1128.61464
median128.64143
Q3128.69317
95-th percentile128.73128
Maximum128.74263
Range0.2695312
Interquartile range (IQR)0.078531

Descriptive statistics

Standard deviation0.061158545
Coefficient of variation (CV)0.00047540554
Kurtosis0.29627416
Mean128.645
Median Absolute Deviation (MAD)0.0432515
Skewness-0.70763505
Sum99056.648
Variance0.0037403676
MonotonicityNot monotonic
2023-12-12T09:48:44.778860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6918 4
 
0.5%
128.6932 3
 
0.4%
128.6247 3
 
0.4%
128.6298 2
 
0.3%
128.6232 2
 
0.3%
128.6841 2
 
0.3%
128.6172 2
 
0.3%
128.6929 2
 
0.3%
128.6904 2
 
0.3%
128.644032 2
 
0.3%
Other values (729) 746
96.9%
ValueCountFrequency (%)
128.4731 1
0.1%
128.4734406 1
0.1%
128.4768209 1
0.1%
128.4770537 1
0.1%
128.4773108 1
0.1%
128.4778024 1
0.1%
128.4779111 1
0.1%
128.4784 1
0.1%
128.4784218 1
0.1%
128.4787 1
0.1%
ValueCountFrequency (%)
128.7426312 1
0.1%
128.7414224 1
0.1%
128.7393 1
0.1%
128.7385 1
0.1%
128.738146 1
0.1%
128.7381 2
0.3%
128.7375534 1
0.1%
128.7374601 1
0.1%
128.7373844 1
0.1%
128.7368 1
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-12T09:48:44.922720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:45.034156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:48:40.323877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:39.454002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:39.906324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:40.436521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:39.590955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:40.056307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:40.564182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:39.741863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:48:40.204103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:48:45.117269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치목적구분카메라대수카메라화소수설치년월위도경도
설치목적구분1.0000.4550.1130.9380.2920.251
카메라대수0.4551.0000.0000.7020.2660.136
카메라화소수0.1130.0001.0000.3990.0000.000
설치년월0.9380.7020.3991.0000.6540.569
위도0.2920.2660.0000.6541.0000.671
경도0.2510.1360.0000.5690.6711.000
2023-12-12T09:48:45.257718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라화소수설치목적구분
카메라화소수1.0000.085
설치목적구분0.0851.000
2023-12-12T09:48:45.380001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
카메라대수위도경도설치목적구분카메라화소수
카메라대수1.000-0.003-0.1230.2430.000
위도-0.0031.000-0.0030.1440.000
경도-0.123-0.0031.0000.1240.000
설치목적구분0.2430.1440.1241.0000.085
카메라화소수0.0000.0000.0000.0851.000

Missing values

2023-12-12T09:48:40.736054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:48:40.930840image/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

관리기관명소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자
0경상남도 거제시청경상남도 거제시 하청면 대곡리 889생활방범220070도302023-07-23055-639-368135.009151128.6245152023-08-24
1경상남도 거제시청경상남도 거제시 하청면 대곡리 870생활방범220070도302023-07-23055-639-368135.008135128.6243132023-08-24
2경상남도 거제시청경상남도 거제시 하청면 대곡리 810-2생활방범320070도302023-07-23055-639-368135.006137128.6290272023-08-24
3경상남도 거제시청경상남도 거제시 하청면 하청리 543-4생활방범320070도302023-09-22055-639-368134.958909128.6586232023-08-24
4경상남도 거제시청경상남도 거제시 하청면 하청리 267-6재난재해420070도302023-11-21055-639-368134.952318128.6564982023-08-24
5경상남도 거제시청경상남도 거제시 하청면 하청리 246-2재난재해320070도302023-11-21055-639-368134.952047128.6584662023-08-24
6경상남도 거제시청경상남도 거제시 하청면 어온리 506 장안마을회관앞생활방범120070도302023-02-21055-639-368134.98236128.6435772023-08-24
7경상남도 거제시청경상남도 거제시 하청면 하청리 326-1 신창마을 입구생활방범320070도302023-11-18055-639-368134.9568128.65672023-08-24
8경상남도 거제시청경상남도 거제시 하청면 덕곡리 613-4 덕곡마을 입구생활방범320070도302023-11-18055-639-368134.9608128.61462023-08-24
9경상남도 거제시청경상남도 거제시 연하해안로 1712(하청중학교 후문)생활방범320070도302023-06-17055-639-368134.954518128.6543532023-08-24
관리기관명소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도데이터기준일자
760경상남도 거제시청경상남도 거제시 거제면 외간옥산 1길 10(외간초등학교 정문 앞)어린이보호220070도302023-11-14055-639-368134.859438128.5753952023-08-24
761경상남도 거제시청경상남도 거제시 거제면 외간옥산 1길 10(외간초등학교 입구)어린이보호120070도302023-11-14055-639-368134.858895128.5760812023-08-24
762경상남도 거제시청경상남도 거제시 거제면 서정리 626(거제향교)시설물관리620070도302023-06-14055-639-368134.852552128.5897722023-08-24
763경상남도 거제시청경상남도 거제시 거제면 동상리 364(반곡서원)시설물관리520070도302023-06-14055-639-368134.852177128.5958692023-08-24
764경상남도 거제시청경상남도 거제시 거제면 동상리 675도(거제면 동상 사거리)생활방범220070도302023-05-14055-639-368134.847046128.594252023-08-24
765경상남도 거제시청경상남도 거제시 거제면 동상리 545-1(거제초등학교 앞)어린이보호220070도302023-12-13055-639-368134.850745128.5913122023-08-24
766경상남도 거제시청경상남도 거제시 거제면 서정리 849-1도(고현방면)차량방범220070도302023-06-13055-639-368134.858184128.5848892023-08-24
767경상남도 거제시청경상남도 거제시 거제면 외간리 101-1어린이보호320070도302023-01-12055-639-368134.860126128.5760562023-08-24
768경상남도 거제시청경상남도 거제시 거제면 동상리 55어린이보호420070도302023-08-12055-639-368134.851373128.591832023-08-24
769경상남도 거제시청경상남도 거제시 거제면 서정리 875-2(굿뉴스요양병원)차량방범213070도302023-02-12055-639-368134.857139128.5818562023-08-24