Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells11107
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory986.3 KiB
Average record size in memory101.0 B

Variable types

Text2
Categorical4
Unsupported1
Numeric3
DateTime1

Dataset

Description진주시 관내 가로등 정보(가로등 표찰번호, 설치개수, 소재지지번주소, 위경도 등) 현황입니다...위경도 좌표계 WGS84
URLhttps://www.data.go.kr/data/15113209/fileData.do

Alerts

설치개수 has constant value ""Constant
설치형태 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 10000 (100.0%) missing valuesMissing
설치연도 has 1107 (11.1%) missing valuesMissing
가로등 표찰번호 has unique valuesUnique
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 23:32:46.931608
Analysis finished2023-12-11 23:32:49.040348
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가로등 표찰번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:32:49.331681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.4194
Min length4

Characters and Unicode

Total characters64194
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row#801-9
2nd row#11-5
3rd row#450-5
4th row#700-10
5th row#812-10
ValueCountFrequency (%)
801-9 1
 
< 0.1%
760-9 1
 
< 0.1%
471-18 1
 
< 0.1%
801-4 1
 
< 0.1%
153-2 1
 
< 0.1%
350-5 1
 
< 0.1%
222-17 1
 
< 0.1%
510-4 1
 
< 0.1%
411-1 1
 
< 0.1%
200-4 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T08:32:49.809293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10002
15.6%
# 10000
15.6%
1 7577
11.8%
2 5050
7.9%
7 4534
7.1%
5 4530
7.1%
6 4503
7.0%
3 4343
6.8%
4 4158
6.5%
8 3957
 
6.2%
Other values (23) 5540
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43606
67.9%
Dash Punctuation 10002
 
15.6%
Other Punctuation 10000
 
15.6%
Other Letter 285
 
0.4%
Close Punctuation 150
 
0.2%
Open Punctuation 150
 
0.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 50
17.5%
관 50
17.5%
전 50
17.5%
자 50
17.5%
이 50
17.5%
등 7
 
2.5%
보 5
 
1.8%
식 5
 
1.8%
안 5
 
1.8%
형 3
 
1.1%
Other values (8) 10
 
3.5%
Decimal Number
ValueCountFrequency (%)
1 7577
17.4%
2 5050
11.6%
7 4534
10.4%
5 4530
10.4%
6 4503
10.3%
3 4343
10.0%
4 4158
9.5%
8 3957
9.1%
9 2501
 
5.7%
0 2453
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 10002
100.0%
Other Punctuation
ValueCountFrequency (%)
# 10000
100.0%
Close Punctuation
ValueCountFrequency (%)
) 150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 150
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63909
99.6%
Hangul 285
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 50
17.5%
관 50
17.5%
전 50
17.5%
자 50
17.5%
이 50
17.5%
등 7
 
2.5%
보 5
 
1.8%
식 5
 
1.8%
안 5
 
1.8%
형 3
 
1.1%
Other values (8) 10
 
3.5%
Common
ValueCountFrequency (%)
- 10002
15.7%
# 10000
15.6%
1 7577
11.9%
2 5050
7.9%
7 4534
7.1%
5 4530
7.1%
6 4503
7.0%
3 4343
6.8%
4 4158
6.5%
8 3957
 
6.2%
Other values (5) 5255
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63909
99.6%
Hangul 285
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10002
15.7%
# 10000
15.6%
1 7577
11.9%
2 5050
7.9%
7 4534
7.1%
5 4530
7.1%
6 4503
7.0%
3 4343
6.8%
4 4158
6.5%
8 3957
 
6.2%
Other values (5) 5255
8.2%
Hangul
ValueCountFrequency (%)
거 50
17.5%
관 50
17.5%
전 50
17.5%
자 50
17.5%
이 50
17.5%
등 7
 
2.5%
보 5
 
1.8%
식 5
 
1.8%
안 5
 
1.8%
형 3
 
1.1%
Other values (8) 10
 
3.5%

설치개수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-12T08:32:49.931599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:50.010612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지지번주소
Text

Distinct4703
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:32:50.328650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.7536
Min length10

Characters and Unicode

Total characters177536
Distinct characters64
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

Unique3408 ?
Unique (%)34.1%

Sample

1st row경상남도 진주시 평거동 1065-55
2nd row경상남도 진주시 천전동 81-1
3rd row경상남도 진주시 금산면 1045-7
4th row경상남도 진주시 충무공동 231
5th row경상남도 진주시 평거동 203-5
ValueCountFrequency (%)
경상남도 10000
24.8%
진주시 10000
24.8%
충무공동 1728
 
4.3%
평거동 1158
 
2.9%
정촌면 1037
 
2.6%
가호동 978
 
2.4%
초장동 795
 
2.0%
상평동 588
 
1.5%
천전동 562
 
1.4%
산 475
 
1.2%
Other values (4191) 13036
32.3%
2023-12-12T08:32:50.838722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30475
17.2%
상 11220
 
6.3%
진 10006
 
5.6%
경 10000
 
5.6%
남 10000
 
5.6%
도 10000
 
5.6%
주 10000
 
5.6%
시 10000
 
5.6%
1 8321
 
4.7%
동 7635
 
4.3%
Other values (54) 59879
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102359
57.7%
Decimal Number 38550
 
21.7%
Space Separator 30475
 
17.2%
Dash Punctuation 6152
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 11220
11.0%
진 10006
9.8%
경 10000
9.8%
남 10000
9.8%
도 10000
9.8%
주 10000
9.8%
시 10000
9.8%
동 7635
 
7.5%
면 2371
 
2.3%
평 1852
 
1.8%
Other values (42) 19275
18.8%
Decimal Number
ValueCountFrequency (%)
1 8321
21.6%
2 5210
13.5%
3 4508
11.7%
4 3466
9.0%
6 3254
 
8.4%
5 2995
 
7.8%
0 2770
 
7.2%
8 2752
 
7.1%
7 2691
 
7.0%
9 2583
 
6.7%
Space Separator
ValueCountFrequency (%)
30475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102359
57.7%
Common 75177
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 11220
11.0%
진 10006
9.8%
경 10000
9.8%
남 10000
9.8%
도 10000
9.8%
주 10000
9.8%
시 10000
9.8%
동 7635
 
7.5%
면 2371
 
2.3%
평 1852
 
1.8%
Other values (42) 19275
18.8%
Common
ValueCountFrequency (%)
30475
40.5%
1 8321
 
11.1%
- 6152
 
8.2%
2 5210
 
6.9%
3 4508
 
6.0%
4 3466
 
4.6%
6 3254
 
4.3%
5 2995
 
4.0%
0 2770
 
3.7%
8 2752
 
3.7%
Other values (2) 5274
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102359
57.7%
ASCII 75177
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30475
40.5%
1 8321
 
11.1%
- 6152
 
8.2%
2 5210
 
6.9%
3 4508
 
6.0%
4 3466
 
4.6%
6 3254
 
4.3%
5 2995
 
4.0%
0 2770
 
3.7%
8 2752
 
3.7%
Other values (2) 5274
 
7.0%
Hangul
ValueCountFrequency (%)
상 11220
11.0%
진 10006
9.8%
경 10000
9.8%
남 10000
9.8%
도 10000
9.8%
주 10000
9.8%
시 10000
9.8%
동 7635
 
7.5%
면 2371
 
2.3%
평 1852
 
1.8%
Other values (42) 19275
18.8%

위도
Real number (ℝ)

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.174814
Minimum35.088469
Maximum35.280994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:32:50.964968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.088469
5-th percentile35.117593
Q135.163984
median35.175791
Q335.188905
95-th percentile35.215195
Maximum35.280994
Range0.19252463
Interquartile range (IQR)0.02492134

Descriptive statistics

Standard deviation0.027428488
Coefficient of variation (CV)0.00077977635
Kurtosis1.1293841
Mean35.174814
Median Absolute Deviation (MAD)0.012594655
Skewness-0.097370381
Sum351748.14
Variance0.00075232197
MonotonicityNot monotonic
2023-12-12T08:32:51.095602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16761493 2
 
< 0.1%
35.16694697 1
 
< 0.1%
35.11321502 1
 
< 0.1%
35.18814045 1
 
< 0.1%
35.17105956 1
 
< 0.1%
35.1848243 1
 
< 0.1%
35.1884933 1
 
< 0.1%
35.19254543 1
 
< 0.1%
35.16344625 1
 
< 0.1%
35.11556035 1
 
< 0.1%
Other values (9989) 9989
99.9%
ValueCountFrequency (%)
35.08846939 1
< 0.1%
35.08857337 1
< 0.1%
35.08862149 1
< 0.1%
35.08880017 1
< 0.1%
35.08895543 1
< 0.1%
35.08896136 1
< 0.1%
35.0891468 1
< 0.1%
35.0893125 1
< 0.1%
35.08941227 1
< 0.1%
35.08949351 1
< 0.1%
ValueCountFrequency (%)
35.28099402 1
< 0.1%
35.28078067 1
< 0.1%
35.28068442 1
< 0.1%
35.28067924 1
< 0.1%
35.26839475 1
< 0.1%
35.26801447 1
< 0.1%
35.26768488 1
< 0.1%
35.2676495 1
< 0.1%
35.2675663 1
< 0.1%
35.26690705 1
< 0.1%

경도
Real number (ℝ)

Distinct9959
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.11282
Minimum127.95358
Maximum128.32007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:32:51.230757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.95358
5-th percentile128.04931
Q1128.08817
median128.1098
Q3128.13395
95-th percentile128.16906
Maximum128.32007
Range0.3664941
Interquartile range (IQR)0.045782025

Descriptive statistics

Standard deviation0.048784066
Coefficient of variation (CV)0.00038078989
Kurtosis4.4352437
Mean128.11282
Median Absolute Deviation (MAD)0.0231742
Skewness1.2027205
Sum1281128.2
Variance0.0023798851
MonotonicityNot monotonic
2023-12-12T08:32:51.362398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.1018899 2
 
< 0.1%
128.111506 2
 
< 0.1%
128.0979813 2
 
< 0.1%
128.1177004 2
 
< 0.1%
128.083278 2
 
< 0.1%
128.1113469 2
 
< 0.1%
128.1110841 2
 
< 0.1%
128.134692 2
 
< 0.1%
128.105174 2
 
< 0.1%
128.0670914 2
 
< 0.1%
Other values (9949) 9980
99.8%
ValueCountFrequency (%)
127.9535773 1
< 0.1%
127.9535774 1
< 0.1%
127.9537535 1
< 0.1%
127.9537643 1
< 0.1%
127.9539406 1
< 0.1%
127.9541165 1
< 0.1%
127.9542708 1
< 0.1%
127.9544357 1
< 0.1%
127.9571726 1
< 0.1%
127.9576547 1
< 0.1%
ValueCountFrequency (%)
128.3200714 1
< 0.1%
128.3196948 1
< 0.1%
128.3195177 1
< 0.1%
128.3193379 1
< 0.1%
128.3191019 1
< 0.1%
128.3190879 1
< 0.1%
128.3188539 1
< 0.1%
128.3187992 1
< 0.1%
128.31866 1
< 0.1%
128.3185079 1
< 0.1%

설치연도
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)0.4%
Missing1107
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2006.6574
Minimum1985
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:32:51.486187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1990
Q11998
median2010
Q32014
95-th percentile2020
Maximum2022
Range37
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.2748251
Coefficient of variation (CV)0.0046220273
Kurtosis-0.93660788
Mean2006.6574
Median Absolute Deviation (MAD)5
Skewness-0.56235277
Sum17845204
Variance86.022381
MonotonicityNot monotonic
2023-12-12T08:32:51.605925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2014 1164
 
11.6%
2015 833
 
8.3%
2013 623
 
6.2%
2009 481
 
4.8%
2020 477
 
4.8%
2012 452
 
4.5%
2011 405
 
4.0%
2010 349
 
3.5%
1993 323
 
3.2%
2005 305
 
3.0%
Other values (27) 3481
34.8%
(Missing) 1107
 
11.1%
ValueCountFrequency (%)
1985 43
 
0.4%
1986 2
 
< 0.1%
1987 55
 
0.5%
1988 84
 
0.8%
1989 157
1.6%
1990 183
1.8%
1991 243
2.4%
1992 156
1.6%
1993 323
3.2%
1994 187
1.9%
ValueCountFrequency (%)
2022 17
 
0.2%
2021 59
 
0.6%
2020 477
4.8%
2019 12
 
0.1%
2017 117
 
1.2%
2016 97
 
1.0%
2015 833
8.3%
2014 1164
11.6%
2013 623
6.2%
2012 452
 
4.5%

설치형태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가로등
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가로등 10000
100.0%

Length

2023-12-12T08:32:51.795245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:51.911830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로등 10000
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
055-749-8881
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-749-8881
2nd row055-749-8881
3rd row055-749-8881
4th row055-749-8881
5th row055-749-8881

Common Values

ValueCountFrequency (%)
055-749-8881 10000
100.0%

Length

2023-12-12T08:32:51.993371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:52.073889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-749-8881 10000
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상남도 진주시
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 진주시 10000
100.0%

Length

2023-12-12T08:32:52.163222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:32:52.243900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 10000
50.0%
진주시 10000
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-04-06 00:00:00
Maximum2023-04-06 00:00:00
2023-12-12T08:32:52.307816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:52.398557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:32:48.457981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:47.599811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:48.163882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:48.557981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:47.949213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:48.266777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:48.655439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:48.065212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:32:48.358860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:32:52.458684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도
위도1.0000.8300.716
경도0.8301.0000.625
설치연도0.7160.6251.000
2023-12-12T08:32:52.534209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도
위도1.0000.127-0.346
경도0.1271.0000.367
설치연도-0.3460.3671.000

Missing values

2023-12-12T08:32:48.791171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:32:48.946437image/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

가로등 표찰번호설치개수소재지도로명주소소재지지번주소위도경도설치연도설치형태관리기관전화번호관리기관명데이터기준일자
10161#801-91<NA>경상남도 진주시 평거동 1065-5535.166947128.0403822015가로등055-749-8881경상남도 진주시2023-04-06
122#11-51<NA>경상남도 진주시 천전동 81-135.175558128.0928991990가로등055-749-8881경상남도 진주시2023-04-06
4899#450-51<NA>경상남도 진주시 금산면 1045-735.212966128.1317772005가로등055-749-8881경상남도 진주시2023-04-06
8548#700-101<NA>경상남도 진주시 충무공동 23135.177433128.1505722014가로등055-749-8881경상남도 진주시2023-04-06
10321#812-101<NA>경상남도 진주시 평거동 203-535.184227128.0576182015가로등055-749-8881경상남도 진주시2023-04-06
11111#861-121<NA>경상남도 진주시 가호동 154635.152635128.1237892020가로등055-749-8881경상남도 진주시2023-04-06
9767#772-121<NA>경상남도 진주시 충무공동 1350-335.182553128.152872014가로등055-749-8881경상남도 진주시2023-04-06
7328#628-91<NA>경상남도 진주시 가호동 833-135.156651128.1178992013가로등055-749-8881경상남도 진주시2023-04-06
6932#584-141<NA>경상남도 진주시 정촌면 125235.127558128.105282012가로등055-749-8881경상남도 진주시2023-04-06
9829#778-91<NA>경상남도 진주시 금산면 690-535.224102128.1503622015가로등055-749-8881경상남도 진주시2023-04-06
가로등 표찰번호설치개수소재지도로명주소소재지지번주소위도경도설치연도설치형태관리기관전화번호관리기관명데이터기준일자
3585#356-91<NA>경상남도 진주시 상평동 283-135.178307128.1061032013가로등055-749-8881경상남도 진주시2023-04-06
7791#663-221<NA>경상남도 진주시 충무공동 8435.169288128.1318252015가로등055-749-8881경상남도 진주시2023-04-06
8264#684-211<NA>경상남도 진주시 충무공동 29-435.17808128.1386262015가로등055-749-8881경상남도 진주시2023-04-06
4226#396-81<NA>경상남도 진주시 상평동 1067-20035.174459128.1287632009가로등055-749-8881경상남도 진주시2023-04-06
2706#273-61<NA>경상남도 진주시 초장동 1523-435.199494128.1059022009가로등055-749-8881경상남도 진주시2023-04-06
10268#808-171<NA>경상남도 진주시 평거동 646-6335.165913128.0479752015가로등055-749-8881경상남도 진주시2023-04-06
8392#690-201<NA>경상남도 진주시 충무공동 19335.18108128.1490452013가로등055-749-8881경상남도 진주시2023-04-06
810#87-91<NA>경상남도 진주시 상봉동 1455-135.204451128.0728541992가로등055-749-8881경상남도 진주시2023-04-06
3401#337-121<NA>경상남도 진주시 천전동 360-735.17046128.0935882002가로등055-749-8881경상남도 진주시2023-04-06
4669#420-241<NA>경상남도 진주시 대곡면 52635.267649128.1682292016가로등055-749-8881경상남도 진주시2023-04-06