Overview

Dataset statistics

Number of variables7
Number of observations181
Missing cells19
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory59.7 B

Variable types

Numeric3
Text3
DateTime1

Dataset

Description경상남도 거제시에서 관리 중인 음식물류 폐기물 다량배출사업장 현황 업체명, 주소, 기준일 현황에 대한 자료를 제공합니다. 전화번호 공란은 개인정보 보호로 공란 처리하였습니다.
URLhttps://www.data.go.kr/data/3079320/fileData.do

Alerts

기준일자 has constant value ""Constant
전화번호 has 19 (10.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:07:44.016056
Analysis finished2023-12-12 12:07:45.705417
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91
Minimum1
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:07:45.785852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q146
median91
Q3136
95-th percentile172
Maximum181
Range180
Interquartile range (IQR)90

Descriptive statistics

Standard deviation52.394338
Coefficient of variation (CV)0.57576196
Kurtosis-1.2
Mean91
Median Absolute Deviation (MAD)45
Skewness0
Sum16471
Variance2745.1667
MonotonicityStrictly increasing
2023-12-12T21:07:45.986214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
115 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
124 1
 
0.6%
Other values (171) 171
94.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
181 1
0.6%
180 1
0.6%
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%

상호
Text

Distinct178
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T21:07:46.304141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length7.8839779
Min length2

Characters and Unicode

Total characters1427
Distinct characters260
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

Unique175 ?
Unique (%)96.7%

Sample

1st row일운초등학교
2nd row사등초등학교
3rd row수월초등학교
4th row마전초등학교
5th row거제제일고등학교
ValueCountFrequency (%)
거제점 5
 
2.2%
주)웰리브 3
 
1.3%
주식회사 3
 
1.3%
주)웰리브거제대우병원점 2
 
0.9%
씨제이 2
 
0.9%
프레시웨이 2
 
0.9%
주식회사(드비치 2
 
0.9%
gc점 2
 
0.9%
삼성중공업 2
 
0.9%
거제호텔 2
 
0.9%
Other values (199) 205
89.1%
2023-12-12T21:07:47.150687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 65
 
4.6%
학 57
 
4.0%
거 57
 
4.0%
교 56
 
3.9%
49
 
3.4%
등 42
 
2.9%
( 35
 
2.5%
) 35
 
2.5%
주 34
 
2.4%
초 34
 
2.4%
Other values (250) 963
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
90.8%
Space Separator 49
 
3.4%
Open Punctuation 35
 
2.5%
Close Punctuation 35
 
2.5%
Other Punctuation 4
 
0.3%
Uppercase Letter 4
 
0.3%
Decimal Number 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 65
 
5.0%
학 57
 
4.4%
거 57
 
4.4%
교 56
 
4.3%
등 42
 
3.2%
주 34
 
2.6%
초 34
 
2.6%
스 30
 
2.3%
원 28
 
2.2%
중 23
 
1.8%
Other values (241) 870
67.1%
Uppercase Letter
ValueCountFrequency (%)
G 2
50.0%
C 2
50.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1296
90.8%
Common 127
 
8.9%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 65
 
5.0%
학 57
 
4.4%
거 57
 
4.4%
교 56
 
4.3%
등 42
 
3.2%
주 34
 
2.6%
초 34
 
2.6%
스 30
 
2.3%
원 28
 
2.2%
중 23
 
1.8%
Other values (241) 870
67.1%
Common
ValueCountFrequency (%)
49
38.6%
( 35
27.6%
) 35
27.6%
& 4
 
3.1%
1 2
 
1.6%
- 1
 
0.8%
2 1
 
0.8%
Latin
ValueCountFrequency (%)
G 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1296
90.8%
ASCII 131
 
9.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 65
 
5.0%
학 57
 
4.4%
거 57
 
4.4%
교 56
 
4.3%
등 42
 
3.2%
주 34
 
2.6%
초 34
 
2.6%
스 30
 
2.3%
원 28
 
2.2%
중 23
 
1.8%
Other values (241) 870
67.1%
ASCII
ValueCountFrequency (%)
49
37.4%
( 35
26.7%
) 35
26.7%
& 4
 
3.1%
G 2
 
1.5%
C 2
 
1.5%
1 2
 
1.5%
- 1
 
0.8%
2 1
 
0.8%

사업장도로명주소
Text

Distinct171
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T21:07:47.564706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length24.856354
Min length19

Characters and Unicode

Total characters4499
Distinct characters169
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

Unique162 ?
Unique (%)89.5%

Sample

1st row경상남도 거제시 일운면 지세포로 74
2nd row경상남도 거제시 사등면 성포로 21
3rd row경상남도 거제시 수양로 420 (수월동)
4th row경상남도 거제시 마전2길 3-4 (장승포동)
5th row경상남도 거제시 거제면 읍내로13길 22-5
ValueCountFrequency (%)
경상남도 181
 
18.8%
거제시 181
 
18.8%
고현동 36
 
3.7%
거제대로 22
 
2.3%
옥포동 22
 
2.3%
장평동 17
 
1.8%
연초면 15
 
1.6%
일운면 14
 
1.5%
장승포동 12
 
1.2%
아주동 11
 
1.1%
Other values (261) 453
47.0%
2023-12-12T21:07:48.174336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
787
 
17.5%
제 242
 
5.4%
거 239
 
5.3%
상 198
 
4.4%
경 186
 
4.1%
남 185
 
4.1%
도 184
 
4.1%
시 181
 
4.0%
로 149
 
3.3%
동 147
 
3.3%
Other values (159) 2001
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2757
61.3%
Space Separator 787
 
17.5%
Decimal Number 613
 
13.6%
Close Punctuation 126
 
2.8%
Open Punctuation 126
 
2.8%
Connector Punctuation 47
 
1.0%
Dash Punctuation 38
 
0.8%
Uppercase Letter 3
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 242
 
8.8%
거 239
 
8.7%
상 198
 
7.2%
경 186
 
6.7%
남 185
 
6.7%
도 184
 
6.7%
시 181
 
6.6%
로 149
 
5.4%
동 147
 
5.3%
길 75
 
2.7%
Other values (140) 971
35.2%
Decimal Number
ValueCountFrequency (%)
1 137
22.3%
2 105
17.1%
3 67
10.9%
4 64
10.4%
7 56
9.1%
5 49
 
8.0%
6 39
 
6.4%
0 38
 
6.2%
9 35
 
5.7%
8 23
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
B 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
j 1
50.0%
Space Separator
ValueCountFrequency (%)
787
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2757
61.3%
Common 1737
38.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 242
 
8.8%
거 239
 
8.7%
상 198
 
7.2%
경 186
 
6.7%
남 185
 
6.7%
도 184
 
6.7%
시 181
 
6.6%
로 149
 
5.4%
동 147
 
5.3%
길 75
 
2.7%
Other values (140) 971
35.2%
Common
ValueCountFrequency (%)
787
45.3%
1 137
 
7.9%
) 126
 
7.3%
( 126
 
7.3%
2 105
 
6.0%
3 67
 
3.9%
4 64
 
3.7%
7 56
 
3.2%
5 49
 
2.8%
_ 47
 
2.7%
Other values (5) 173
 
10.0%
Latin
ValueCountFrequency (%)
C 2
40.0%
B 1
20.0%
c 1
20.0%
j 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2757
61.3%
ASCII 1742
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
787
45.2%
1 137
 
7.9%
) 126
 
7.2%
( 126
 
7.2%
2 105
 
6.0%
3 67
 
3.8%
4 64
 
3.7%
7 56
 
3.2%
5 49
 
2.8%
_ 47
 
2.7%
Other values (9) 178
 
10.2%
Hangul
ValueCountFrequency (%)
제 242
 
8.8%
거 239
 
8.7%
상 198
 
7.2%
경 186
 
6.7%
남 185
 
6.7%
도 184
 
6.7%
시 181
 
6.6%
로 149
 
5.4%
동 147
 
5.3%
길 75
 
2.7%
Other values (140) 971
35.2%

위도
Real number (ℝ)

Distinct158
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.883747
Minimum34.738293
Maximum35.014967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:07:48.379085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.738293
5-th percentile34.830747
Q134.869874
median34.889515
Q334.895698
95-th percentile34.922833
Maximum35.014967
Range0.27667324
Interquartile range (IQR)0.02582424

Descriptive statistics

Standard deviation0.032729962
Coefficient of variation (CV)0.00093825819
Kurtosis6.0724617
Mean34.883747
Median Absolute Deviation (MAD)0.01210797
Skewness-0.26559072
Sum6313.9583
Variance0.0010712504
MonotonicityNot monotonic
2023-12-12T21:07:48.578586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8910509 4
 
2.2%
34.89713105 3
 
1.7%
34.88107378 3
 
1.7%
34.89772442 3
 
1.7%
34.89113656 3
 
1.7%
34.8973204 2
 
1.1%
34.89022271 2
 
1.1%
34.90303743 2
 
1.1%
34.87516797 2
 
1.1%
35.01496655 2
 
1.1%
Other values (148) 155
85.6%
ValueCountFrequency (%)
34.73829331 1
0.6%
34.73975209 1
0.6%
34.81148787 2
1.1%
34.81594829 1
0.6%
34.81830826 1
0.6%
34.82244247 1
0.6%
34.82783683 1
0.6%
34.82847324 1
0.6%
34.83074723 1
0.6%
34.83912976 1
0.6%
ValueCountFrequency (%)
35.01496655 2
1.1%
34.97427603 1
0.6%
34.95640095 1
0.6%
34.95342477 1
0.6%
34.95338817 1
0.6%
34.94305718 1
0.6%
34.94065264 1
0.6%
34.92608058 1
0.6%
34.92283295 1
0.6%
34.91992964 1
0.6%

경도
Real number (ℝ)

Distinct158
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.6486
Minimum128.50869
Maximum128.73127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T21:07:48.784070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.50869
5-th percentile128.56978
Q1128.61706
median128.63919
Q3128.69218
95-th percentile128.72336
Maximum128.73127
Range0.2225822
Interquartile range (IQR)0.0751214

Descriptive statistics

Standard deviation0.049461911
Coefficient of variation (CV)0.00038447298
Kurtosis-0.24254833
Mean128.6486
Median Absolute Deviation (MAD)0.0391771
Skewness-0.32682308
Sum23285.397
Variance0.0024464806
MonotonicityNot monotonic
2023-12-12T21:07:48.966441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6164053 4
 
2.2%
128.6102142 3
 
1.7%
128.5906122 3
 
1.7%
128.6436559 3
 
1.7%
128.6225765 3
 
1.7%
128.6296039 2
 
1.1%
128.6197141 2
 
1.1%
128.5554591 2
 
1.1%
128.6267765 2
 
1.1%
128.6737102 2
 
1.1%
Other values (148) 155
85.6%
ValueCountFrequency (%)
128.5086907 1
0.6%
128.5158825 1
0.6%
128.5197498 1
0.6%
128.5206646 1
0.6%
128.5306331 1
0.6%
128.5351123 1
0.6%
128.5517146 1
0.6%
128.5554591 2
1.1%
128.569778 1
0.6%
128.5755638 1
0.6%
ValueCountFrequency (%)
128.7312729 1
0.6%
128.7306423 1
0.6%
128.7306356 1
0.6%
128.7288735 1
0.6%
128.7275884 1
0.6%
128.7255177 1
0.6%
128.724797 1
0.6%
128.7243842 1
0.6%
128.723707 1
0.6%
128.723359 2
1.1%

전화번호
Text

MISSING 

Distinct154
Distinct (%)95.1%
Missing19
Missing (%)10.5%
Memory size1.5 KiB
2023-12-12T21:07:49.273877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.728395
Min length1

Characters and Unicode

Total characters1900
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)92.0%

Sample

1st row055-682-0769
2nd row055-633-4526
3rd row055-636-8314
4th row055-681-7064
5th row055-633-1623
ValueCountFrequency (%)
055-631-2620 3
 
1.9%
055-736-1004 2
 
1.3%
055-682-7000 2
 
1.3%
055-680-8445 2
 
1.3%
055-682-0769 1
 
0.6%
055-730-5015 1
 
0.6%
055-636-9900 1
 
0.6%
055-633-3392 1
 
0.6%
055-632-5000 1
 
0.6%
055-682-6006 1
 
0.6%
Other values (143) 143
90.5%
2023-12-12T21:07:49.698136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 397
20.9%
- 316
16.6%
0 282
14.8%
6 229
12.1%
3 173
9.1%
2 105
 
5.5%
8 101
 
5.3%
1 94
 
4.9%
7 80
 
4.2%
9 69
 
3.6%
Other values (2) 54
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1580
83.2%
Dash Punctuation 316
 
16.6%
Space Separator 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 397
25.1%
0 282
17.8%
6 229
14.5%
3 173
10.9%
2 105
 
6.6%
8 101
 
6.4%
1 94
 
5.9%
7 80
 
5.1%
9 69
 
4.4%
4 50
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 316
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 397
20.9%
- 316
16.6%
0 282
14.8%
6 229
12.1%
3 173
9.1%
2 105
 
5.5%
8 101
 
5.3%
1 94
 
4.9%
7 80
 
4.2%
9 69
 
3.6%
Other values (2) 54
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 397
20.9%
- 316
16.6%
0 282
14.8%
6 229
12.1%
3 173
9.1%
2 105
 
5.5%
8 101
 
5.3%
1 94
 
4.9%
7 80
 
4.2%
9 69
 
3.6%
Other values (2) 54
 
2.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-06-12 00:00:00
Maximum2023-06-12 00:00:00
2023-12-12T21:07:49.859184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:49.973473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:07:45.156755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:44.480972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:44.824887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:45.257547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:44.597505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:44.930085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:45.361293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:44.726773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:07:45.040176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:07:50.065222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2290.101
위도0.2291.0000.537
경도0.1010.5371.000
2023-12-12T21:07:50.177041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.011-0.020
위도0.0111.000-0.283
경도-0.020-0.2831.000

Missing values

2023-12-12T21:07:45.515424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:07:45.655048image/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

연번상호사업장도로명주소위도경도전화번호기준일자
01일운초등학교경상남도 거제시 일운면 지세포로 7434.828473128.705364055-682-07692023-06-12
12사등초등학교경상남도 거제시 사등면 성포로 2134.913778128.515883055-633-45262023-06-12
23수월초등학교경상남도 거제시 수양로 420 (수월동)34.890379128.643325055-636-83142023-06-12
34마전초등학교경상남도 거제시 마전2길 3-4 (장승포동)34.860009128.720365055-681-70642023-06-12
45거제제일고등학교경상남도 거제시 거제면 읍내로13길 22-534.851975128.586795055-633-16232023-06-12
56아주초등학교경상남도 거제시 탑곡로4길 24 (아주동)34.864463128.692362<NA>2023-06-12
67거제중앙고등학교경상남도 거제시 중곡로2길 61 (고현동)34.892854128.637239055-632-86612023-06-12
78중곡초등학교경상남도 거제시 중곡로 27 (고현동)34.894509128.62932055-632-87912023-06-12
89경남산업고등학교경상남도 거제시 하청면 서리1길 1734.953425128.653924055-639-23032023-06-12
910국산초등학교경상남도 거제시 국산1길 2 (옥포동)34.896698128.694055055-687-21342023-06-12
연번상호사업장도로명주소위도경도전화번호기준일자
171172더블유앤비 게스트하우스경상남도 거제시 장승포로5길 14 (장승포동)34.867051128.730642<NA>2023-06-12
172173도야거제가족호텔경상남도 거제시 일운면 거제대로 224434.815948128.704416055-681-69182023-06-12
173174블랙 골드 레스토랑경상남도 거제시 옥포로 179 (아주동)34.890728128.691335055-637-11912023-06-12
174175(주)래디언스관광호텔경상남도 거제시 옥포대첩로 425 (덕포동)34.914022128.714567055-688-38012023-06-12
175176선셋힐링파크경상남도 거제시 하청면 연하해안로 1076-134.953388128.600011055-637-00552023-06-12
176177더럭스관광호텔경상남도 거제시 장승포로 93-1 (장승포동)34.863833128.730636055-682-08772023-06-12
177178(주)진주랑 홈플러스 거제점경상남도 거제시 장평로 12_ 디큐브백화점 B1층 (장평동)34.891051128.616405053-752-55802023-06-12
178179풀무원푸드앤컬처 거제국제외국인학교경상남도 거제시 서간도길 9-8_ 거제국제외국인학교 (옥포동)34.888112128.690033055-680-50092023-06-12
179180(주)웰리브경상남도 거제시 연초면 오비4길 54 (주)삼녹공장34.91993128.613678<NA>2023-06-12
180181(주)관악 거제지점(거제리베라호텔 오션테라스)경상남도 거제시 일운면 거제대로 2190_ 호텔리베라거제34.811488128.704093055-730-50002023-06-12