Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells10064
Missing cells (%)3.7%
Duplicate rows33
Duplicate rows (%)0.3%
Total size in memory2.2 MiB
Average record size in memory229.0 B

Variable types

Categorical13
Text3
Numeric4
Boolean7

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15028205/standard.do

Alerts

Dataset has 33 (0.3%) duplicate rowsDuplicates
스마트가로등유형 is highly imbalanced (51.2%)Imbalance
시도명 is highly imbalanced (55.6%)Imbalance
스마트가로등형태 is highly imbalanced (99.0%)Imbalance
센서종류 is highly imbalanced (64.2%)Imbalance
센싱정보서비스 is highly imbalanced (51.0%)Imbalance
WiFi유무 is highly imbalanced (68.9%)Imbalance
GPS수신기유무 is highly imbalanced (67.0%)Imbalance
비콘유무 is highly imbalanced (51.6%)Imbalance
위급상황신고가능여부 is highly imbalanced (91.8%)Imbalance
기타서비스 is highly imbalanced (90.0%)Imbalance
소재지도로명주소 has 2258 (22.6%) missing valuesMissing
설치연도 has 7780 (77.8%) missing valuesMissing

Reproduction

Analysis started2024-05-11 10:07:43.839384
Analysis finished2024-05-11 10:07:46.804129
Duration2.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

스마트가로등유형
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
4746 
1
3943 
01
1076 
01+02
 
149
02
 
61
Other values (4)
 
25

Length

Max length5
Median length1
Mean length1.1754
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 4746
47.5%
1 3943
39.4%
01 1076
 
10.8%
01+02 149
 
1.5%
02 61
 
0.6%
99 17
 
0.2%
08 4
 
< 0.1%
3 3
 
< 0.1%
8 1
 
< 0.1%

Length

2024-05-11T10:07:47.052448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:07:47.578430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 4746
47.5%
1 3943
39.4%
01 1076
 
10.8%
01+02 149
 
1.5%
02 61
 
0.6%
99 17
 
0.2%
08 4
 
< 0.1%
3 3
 
< 0.1%
8 1
 
< 0.1%

시도명
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
충청남도
6146 
전라남도
2752 
강원도
 
320
서울특별시
 
277
전라북도
 
151
Other values (7)
 
354

Length

Max length7
Median length4
Mean length4.0449
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row전라남도
2nd row충청남도
3rd row광주광역시
4th row전라남도
5th row충청남도

Common Values

ValueCountFrequency (%)
충청남도 6146
61.5%
전라남도 2752
27.5%
강원도 320
 
3.2%
서울특별시 277
 
2.8%
전라북도 151
 
1.5%
강원특별자치도 122
 
1.2%
충청북도 79
 
0.8%
광주광역시 67
 
0.7%
경기도 42
 
0.4%
전북특별자치도 29
 
0.3%
Other values (2) 15
 
0.1%

Length

2024-05-11T10:07:48.334548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 6146
61.5%
전라남도 2752
27.5%
강원도 320
 
3.2%
서울특별시 277
 
2.8%
전라북도 151
 
1.5%
강원특별자치도 122
 
1.2%
충청북도 79
 
0.8%
광주광역시 67
 
0.7%
경기도 42
 
0.4%
전북특별자치도 29
 
0.3%
Other values (2) 15
 
0.1%

시군구명
Categorical

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공주시
4263 
화순군
2612 
서산시
1026 
홍성군
768 
춘천시
 
314
Other values (24)
1017 

Length

Max length4
Median length3
Mean length2.9977
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row화순군
2nd row공주시
3rd row광산구
4th row화순군
5th row공주시

Common Values

ValueCountFrequency (%)
공주시 4263
42.6%
화순군 2612
26.1%
서산시 1026
 
10.3%
홍성군 768
 
7.7%
춘천시 314
 
3.1%
광진구 149
 
1.5%
순천시 132
 
1.3%
인제군 116
 
1.2%
고창군 110
 
1.1%
강서구 93
 
0.9%
Other values (19) 417
 
4.2%

Length

2024-05-11T10:07:48.890170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공주시 4263
42.6%
화순군 2612
26.1%
서산시 1026
 
10.3%
홍성군 768
 
7.7%
춘천시 314
 
3.1%
광진구 149
 
1.5%
순천시 132
 
1.3%
인제군 116
 
1.2%
고창군 110
 
1.1%
강서구 93
 
0.9%
Other values (19) 417
 
4.2%

도로명
Text

Distinct1767
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:07:49.915209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length8.3762
Min length2

Characters and Unicode

Total characters83762
Distinct characters293
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

Unique818 ?
Unique (%)8.2%

Sample

1st row전라남도 화순군 화순읍 충의로 58
2nd row공주나들목로
3rd row사암로
4th row전라남도 화순군 이양면 학포로 217
5th row금강공원길
ValueCountFrequency (%)
화순군 2612
 
12.7%
전라남도 2612
 
12.7%
화순읍 1700
 
8.3%
무령로 435
 
2.1%
학포로 269
 
1.3%
금벽로 245
 
1.2%
차동로 239
 
1.2%
이양면 220
 
1.1%
우금티로 177
 
0.9%
장기로 170
 
0.8%
Other values (1493) 11831
57.7%
2024-05-11T10:07:51.572712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10510
 
12.5%
로 6670
 
8.0%
화 4795
 
5.7%
순 4375
 
5.2%
길 3655
 
4.4%
남 2832
 
3.4%
도 2762
 
3.3%
1 2726
 
3.3%
전 2646
 
3.2%
라 2633
 
3.1%
Other values (283) 40158
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61492
73.4%
Decimal Number 10873
 
13.0%
Space Separator 10510
 
12.5%
Dash Punctuation 887
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 6670
 
10.8%
화 4795
 
7.8%
순 4375
 
7.1%
길 3655
 
5.9%
남 2832
 
4.6%
도 2762
 
4.5%
전 2646
 
4.3%
라 2633
 
4.3%
군 2613
 
4.2%
읍 1705
 
2.8%
Other values (271) 26806
43.6%
Decimal Number
ValueCountFrequency (%)
1 2726
25.1%
2 1778
16.4%
4 1128
10.4%
3 1061
 
9.8%
6 938
 
8.6%
5 744
 
6.8%
7 704
 
6.5%
8 643
 
5.9%
0 588
 
5.4%
9 563
 
5.2%
Space Separator
ValueCountFrequency (%)
10510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61492
73.4%
Common 22270
 
26.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 6670
 
10.8%
화 4795
 
7.8%
순 4375
 
7.1%
길 3655
 
5.9%
남 2832
 
4.6%
도 2762
 
4.5%
전 2646
 
4.3%
라 2633
 
4.3%
군 2613
 
4.2%
읍 1705
 
2.8%
Other values (271) 26806
43.6%
Common
ValueCountFrequency (%)
10510
47.2%
1 2726
 
12.2%
2 1778
 
8.0%
4 1128
 
5.1%
3 1061
 
4.8%
6 938
 
4.2%
- 887
 
4.0%
5 744
 
3.3%
7 704
 
3.2%
8 643
 
2.9%
Other values (2) 1151
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61492
73.4%
ASCII 22270
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10510
47.2%
1 2726
 
12.2%
2 1778
 
8.0%
4 1128
 
5.1%
3 1061
 
4.8%
6 938
 
4.2%
- 887
 
4.0%
5 744
 
3.3%
7 704
 
3.2%
8 643
 
2.9%
Other values (2) 1151
 
5.2%
Hangul
ValueCountFrequency (%)
로 6670
 
10.8%
화 4795
 
7.8%
순 4375
 
7.1%
길 3655
 
5.9%
남 2832
 
4.6%
도 2762
 
4.5%
전 2646
 
4.3%
라 2633
 
4.3%
군 2613
 
4.2%
읍 1705
 
2.8%
Other values (271) 26806
43.6%

소재지도로명주소
Text

MISSING 

Distinct2689
Distinct (%)34.7%
Missing2258
Missing (%)22.6%
Memory size156.2 KiB
2024-05-11T10:07:52.823198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length18.513175
Min length10

Characters and Unicode

Total characters143329
Distinct characters306
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

Unique1728 ?
Unique (%)22.3%

Sample

1st row전라남도 화순군 화순읍 충의로 58
2nd row광주광역시 광산구 사암로106번길 99-6
3rd row전라남도 화순군 이양면 학포로 217
4th row충청남도 공주시 금강공원길 37-10
5th row전라남도 화순군 화순읍 학포로 2675-1
ValueCountFrequency (%)
충청남도 4185
 
12.6%
공주시 3091
 
9.3%
전라남도 2616
 
7.9%
화순군 2612
 
7.9%
화순읍 1700
 
5.1%
서산시 1026
 
3.1%
강원도 320
 
1.0%
춘천시 297
 
0.9%
학포로 269
 
0.8%
이양면 220
 
0.7%
Other values (2084) 16846
50.8%
2024-05-11T10:07:54.622270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25440
 
17.7%
도 7642
 
5.3%
남 6912
 
4.8%
1 5017
 
3.5%
로 4988
 
3.5%
시 4727
 
3.3%
화 4699
 
3.3%
충 4501
 
3.1%
순 4353
 
3.0%
청 4343
 
3.0%
Other values (296) 70707
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91352
63.7%
Space Separator 25440
 
17.7%
Decimal Number 24445
 
17.1%
Dash Punctuation 1834
 
1.3%
Close Punctuation 104
 
0.1%
Open Punctuation 102
 
0.1%
Other Punctuation 46
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7642
 
8.4%
남 6912
 
7.6%
로 4988
 
5.5%
시 4727
 
5.2%
화 4699
 
5.1%
충 4501
 
4.9%
순 4353
 
4.8%
청 4343
 
4.8%
주 3480
 
3.8%
공 3364
 
3.7%
Other values (277) 42343
46.4%
Decimal Number
ValueCountFrequency (%)
1 5017
20.5%
2 3826
15.7%
4 2605
10.7%
3 2568
10.5%
5 2197
9.0%
7 2014
8.2%
6 1939
 
7.9%
8 1535
 
6.3%
0 1460
 
6.0%
9 1284
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
K 2
33.3%
B 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 28
60.9%
, 18
39.1%
Space Separator
ValueCountFrequency (%)
25440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1834
100.0%
Close Punctuation
ValueCountFrequency (%)
) 104
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91352
63.7%
Common 51971
36.3%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7642
 
8.4%
남 6912
 
7.6%
로 4988
 
5.5%
시 4727
 
5.2%
화 4699
 
5.1%
충 4501
 
4.9%
순 4353
 
4.8%
청 4343
 
4.8%
주 3480
 
3.8%
공 3364
 
3.7%
Other values (277) 42343
46.4%
Common
ValueCountFrequency (%)
25440
49.0%
1 5017
 
9.7%
2 3826
 
7.4%
4 2605
 
5.0%
3 2568
 
4.9%
5 2197
 
4.2%
7 2014
 
3.9%
6 1939
 
3.7%
- 1834
 
3.5%
8 1535
 
3.0%
Other values (6) 2996
 
5.8%
Latin
ValueCountFrequency (%)
S 2
33.3%
K 2
33.3%
B 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91352
63.7%
ASCII 51977
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25440
48.9%
1 5017
 
9.7%
2 3826
 
7.4%
4 2605
 
5.0%
3 2568
 
4.9%
5 2197
 
4.2%
7 2014
 
3.9%
6 1939
 
3.7%
- 1834
 
3.5%
8 1535
 
3.0%
Other values (9) 3002
 
5.8%
Hangul
ValueCountFrequency (%)
도 7642
 
8.4%
남 6912
 
7.6%
로 4988
 
5.5%
시 4727
 
5.2%
화 4699
 
5.1%
충 4501
 
4.9%
순 4353
 
4.8%
청 4343
 
4.8%
주 3480
 
3.8%
공 3364
 
3.7%
Other values (277) 42343
46.4%

소재지지번주소
Text

Distinct3020
Distinct (%)30.3%
Missing26
Missing (%)0.3%
Memory size156.2 KiB
2024-05-11T10:07:55.410997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length38
Mean length20.933327
Min length14

Characters and Unicode

Total characters208789
Distinct characters280
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

Unique1865 ?
Unique (%)18.7%

Sample

1st row전라남도 화순군 화순읍 삼천리 747-2
2nd row충청남도 공주시 공주시 송선동 554-25
3rd row광주광역시 광산구 우산동 1062-3
4th row전라남도 화순군 이양면 송정리 703-1
5th row충청남도 공주시 공주시 금성동 102-2
ValueCountFrequency (%)
공주시 7153
 
14.7%
충청남도 6147
 
12.7%
전라남도 2752
 
5.7%
화순군 2612
 
5.4%
화순읍 1700
 
3.5%
서산시 1026
 
2.1%
홍성군 768
 
1.6%
신관동 561
 
1.2%
홍성읍 403
 
0.8%
강원도 315
 
0.6%
Other values (3091) 25091
51.7%
2024-05-11T10:07:56.635166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38554
 
18.5%
도 9775
 
4.7%
남 9190
 
4.4%
시 9099
 
4.4%
주 7462
 
3.6%
공 7192
 
3.4%
- 6852
 
3.3%
1 6774
 
3.2%
청 6398
 
3.1%
충 6226
 
3.0%
Other values (270) 101267
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125800
60.3%
Space Separator 38554
 
18.5%
Decimal Number 37378
 
17.9%
Dash Punctuation 6852
 
3.3%
Open Punctuation 102
 
< 0.1%
Close Punctuation 102
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9775
 
7.8%
남 9190
 
7.3%
시 9099
 
7.2%
주 7462
 
5.9%
공 7192
 
5.7%
청 6398
 
5.1%
충 6226
 
4.9%
리 5492
 
4.4%
동 5215
 
4.1%
화 4526
 
3.6%
Other values (255) 55225
43.9%
Decimal Number
ValueCountFrequency (%)
1 6774
18.1%
2 5210
13.9%
6 4117
11.0%
3 4069
10.9%
4 3744
10.0%
5 3582
9.6%
7 2867
7.7%
9 2417
 
6.5%
8 2309
 
6.2%
0 2289
 
6.1%
Space Separator
ValueCountFrequency (%)
38554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125800
60.3%
Common 82989
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9775
 
7.8%
남 9190
 
7.3%
시 9099
 
7.2%
주 7462
 
5.9%
공 7192
 
5.7%
청 6398
 
5.1%
충 6226
 
4.9%
리 5492
 
4.4%
동 5215
 
4.1%
화 4526
 
3.6%
Other values (255) 55225
43.9%
Common
ValueCountFrequency (%)
38554
46.5%
- 6852
 
8.3%
1 6774
 
8.2%
2 5210
 
6.3%
6 4117
 
5.0%
3 4069
 
4.9%
4 3744
 
4.5%
5 3582
 
4.3%
7 2867
 
3.5%
9 2417
 
2.9%
Other values (5) 4803
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125800
60.3%
ASCII 82989
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38554
46.5%
- 6852
 
8.3%
1 6774
 
8.2%
2 5210
 
6.3%
6 4117
 
5.0%
3 4069
 
4.9%
4 3744
 
4.5%
5 3582
 
4.3%
7 2867
 
3.5%
9 2417
 
2.9%
Other values (5) 4803
 
5.8%
Hangul
ValueCountFrequency (%)
도 9775
 
7.8%
남 9190
 
7.3%
시 9099
 
7.2%
주 7462
 
5.9%
공 7192
 
5.7%
청 6398
 
5.1%
충 6226
 
4.9%
리 5492
 
4.4%
동 5215
 
4.1%
화 4526
 
3.6%
Other values (255) 55225
43.9%

위도
Real number (ℝ)

Distinct9572
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.198215
Minimum34.865496
Maximum38.253904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:07:57.079798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.865496
5-th percentile34.980469
Q135.069915
median36.469832
Q336.592362
95-th percentile37.571861
Maximum38.253904
Range3.3884078
Interquartile range (IQR)1.5224462

Descriptive statistics

Standard deviation0.82056525
Coefficient of variation (CV)0.022668666
Kurtosis-0.6270618
Mean36.198215
Median Absolute Deviation (MAD)0.17801203
Skewness-0.18117668
Sum361982.15
Variance0.67332733
MonotonicityNot monotonic
2024-05-11T10:07:57.518236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.9294498826 20
 
0.2%
34.9228973177 10
 
0.1%
34.9531094579 10
 
0.1%
34.9434101151 9
 
0.1%
34.9225011289 8
 
0.1%
34.9374825687 7
 
0.1%
34.9363034232 7
 
0.1%
34.9336187067 6
 
0.1%
36.60282451 6
 
0.1%
36.64421046 6
 
0.1%
Other values (9562) 9911
99.1%
ValueCountFrequency (%)
34.86549581 1
< 0.1%
34.86549583 1
< 0.1%
34.86549584 1
< 0.1%
34.86549586 1
< 0.1%
34.86549587 1
< 0.1%
34.86549589 1
< 0.1%
34.8654959 1
< 0.1%
34.86549591 1
< 0.1%
34.86549592 1
< 0.1%
34.86549593 1
< 0.1%
ValueCountFrequency (%)
38.25390361 1
< 0.1%
38.25364319 1
< 0.1%
38.24368169 2
< 0.1%
38.23019854 2
< 0.1%
38.22433811 2
< 0.1%
38.21919102 1
< 0.1%
38.19400847 1
< 0.1%
38.14670868 1
< 0.1%
38.14593037 1
< 0.1%
38.14178144 1
< 0.1%

경도
Real number (ℝ)

Distinct7917
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00929
Minimum126.43369
Maximum129.05342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:07:57.973370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.43369
5-th percentile126.4585
Q1126.95023
median127.01571
Q3127.13475
95-th percentile127.55798
Maximum129.05342
Range2.6197282
Interquartile range (IQR)0.18451432

Descriptive statistics

Standard deviation0.31304319
Coefficient of variation (CV)0.0024647267
Kurtosis3.7318584
Mean127.00929
Median Absolute Deviation (MAD)0.11217885
Skewness0.81467869
Sum1270092.9
Variance0.097996037
MonotonicityNot monotonic
2024-05-11T10:07:58.428112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0773679 37
 
0.4%
127.0018551 36
 
0.4%
126.9731081 32
 
0.3%
127.0277964 26
 
0.3%
126.9721561 25
 
0.2%
126.979715 24
 
0.2%
127.0754362 24
 
0.2%
126.9774156 23
 
0.2%
126.9936927 22
 
0.2%
127.1231085 22
 
0.2%
Other values (7907) 9729
97.3%
ValueCountFrequency (%)
126.4336898 1
< 0.1%
126.4340792 1
< 0.1%
126.434255 1
< 0.1%
126.4343107 1
< 0.1%
126.4343216 1
< 0.1%
126.4344237 1
< 0.1%
126.4345055 1
< 0.1%
126.4345771 1
< 0.1%
126.4347296 1
< 0.1%
126.4347747 1
< 0.1%
ValueCountFrequency (%)
129.053418 2
< 0.1%
129.040439 1
< 0.1%
128.947294 2
< 0.1%
128.915885 2
< 0.1%
128.911907 1
< 0.1%
128.907394 2
< 0.1%
128.903011 1
< 0.1%
128.821297 1
< 0.1%
128.422541 1
< 0.1%
128.3230321 2
< 0.1%

스마트가로등형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9986 
2
 
10
99
 
4

Length

Max length2
Median length1
Mean length1.0004
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 9986
99.9%
2 10
 
0.1%
99 4
 
< 0.1%

Length

2024-05-11T10:07:58.838180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:07:59.149491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9986
99.9%
2 10
 
0.1%
99 4
 
< 0.1%

점등상태여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8386 
True
1614 
ValueCountFrequency (%)
False 8386
83.9%
True 1614
 
16.1%
2024-05-11T10:07:59.417528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

센서종류
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조도센서
4979 
무
4263 
적외선센서
 
349
전류센서
 
113
COMS IMAGE
 
110
Other values (13)
 
186

Length

Max length17
Median length4
Mean length2.8661
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row조도센서
2nd row무
3rd rowGPS센서
4th row조도센서
5th row무

Common Values

ValueCountFrequency (%)
조도센서 4979
49.8%
무 4263
42.6%
적외선센서 349
 
3.5%
전류센서 113
 
1.1%
COMS IMAGE 110
 
1.1%
GPS센서 67
 
0.7%
속도센서+전류센서 56
 
0.6%
조명제어 21
 
0.2%
적외선 센서 14
 
0.1%
모션감지 12
 
0.1%
Other values (8) 16
 
0.2%

Length

2024-05-11T10:07:59.787607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조도센서 4979
49.2%
무 4263
42.1%
적외선센서 349
 
3.4%
전류센서 113
 
1.1%
coms 110
 
1.1%
image 110
 
1.1%
gps센서 67
 
0.7%
속도센서+전류센서 56
 
0.6%
조명제어 21
 
0.2%
센서 14
 
0.1%
Other values (10) 42
 
0.4%

센싱정보서비스
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
4324 
무
4263 
디밍
1026 
방범
 
217
도로조명
 
90
Other values (5)
 
80

Length

Max length10
Median length8
Mean length2.4814
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row무
3rd row<NA>
4th row<NA>
5th row무

Common Values

ValueCountFrequency (%)
<NA> 4324
43.2%
무 4263
42.6%
디밍 1026
 
10.3%
방범 217
 
2.2%
도로조명 90
 
0.9%
방범+교통 71
 
0.7%
도시데이터+유동인구 3
 
< 0.1%
교통 3
 
< 0.1%
차량이동량 2
 
< 0.1%
물체인식+움직임 1
 
< 0.1%

Length

2024-05-11T10:08:00.176254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:08:00.519015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4324
43.2%
무 4263
42.6%
디밍 1026
 
10.3%
방범 217
 
2.2%
도로조명 90
 
0.9%
방범+교통 71
 
0.7%
도시데이터+유동인구 3
 
< 0.1%
교통 3
 
< 0.1%
차량이동량 2
 
< 0.1%
물체인식+움직임 1
 
< 0.1%

CCTV유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5016 
True
4984 
ValueCountFrequency (%)
False 5016
50.2%
True 4984
49.8%
2024-05-11T10:08:00.860067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

WiFi유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9442 
True
 
558
ValueCountFrequency (%)
False 9442
94.4%
True 558
 
5.6%
2024-05-11T10:08:01.109948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

GPS수신기유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9393 
True
 
607
ValueCountFrequency (%)
False 9393
93.9%
True 607
 
6.1%
2024-05-11T10:08:01.355698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비콘유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8953 
True
1047 
ValueCountFrequency (%)
False 8953
89.5%
True 1047
 
10.5%
2024-05-11T10:08:01.610517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

조명제어여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
7125 
False
2875 
ValueCountFrequency (%)
True 7125
71.2%
False 2875
28.7%
2024-05-11T10:08:01.870518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위급상황신고가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9898 
True
 
102
ValueCountFrequency (%)
False 9898
99.0%
True 102
 
1.0%
2024-05-11T10:08:02.119346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

앱서비스명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6124 
스마트조명지킴이
2612 
가로등제어
1026 
LUKAS
 
110
양방향관제시스템
 
79
Other values (2)
 
49

Length

Max length8
Median length4
Mean length5.2019
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row스마트조명지킴이
2nd row<NA>
3rd row<NA>
4th row스마트조명지킴이
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6124
61.2%
스마트조명지킴이 2612
26.1%
가로등제어 1026
 
10.3%
LUKAS 110
 
1.1%
양방향관제시스템 79
 
0.8%
IP Pro 28
 
0.3%
네브레이코리아 21
 
0.2%

Length

2024-05-11T10:08:02.398693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:08:02.618440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6124
61.1%
스마트조명지킴이 2612
26.0%
가로등제어 1026
 
10.2%
lukas 110
 
1.1%
양방향관제시스템 79
 
0.8%
ip 28
 
0.3%
pro 28
 
0.3%
네브레이코리아 21
 
0.2%

앱서비스제공내용
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무
4263 
위치+고장수리서비스
2612 
<NA>
1857 
상태감시 및 조명제어+길찾기 기능 제공
1026 
상시녹화
 
163

Length

Max length37
Median length21
Mean length6.2932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row위치+고장수리서비스
2nd row무
3rd row<NA>
4th row위치+고장수리서비스
5th row무

Common Values

ValueCountFrequency (%)
무 4263
42.6%
위치+고장수리서비스 2612
26.1%
<NA> 1857
18.6%
상태감시 및 조명제어+길찾기 기능 제공 1026
 
10.3%
상시녹화 163
 
1.6%
천재지변이나 위급한 상황시 원격으로 분전함+제어및 고장시 문자 통보 79
 
0.8%

Length

2024-05-11T10:08:03.002756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:08:03.347958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 4263
29.1%
위치+고장수리서비스 2612
17.8%
na 1857
12.7%
상태감시 1026
 
7.0%
및 1026
 
7.0%
조명제어+길찾기 1026
 
7.0%
기능 1026
 
7.0%
제공 1026
 
7.0%
상시녹화 163
 
1.1%
천재지변이나 79
 
0.5%
Other values (7) 553
 
3.8%

기타서비스
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9718 
동작감지녹화
 
110
전력사용량정보+고장정보
 
90
전력값 측정
 
79
교통량측정정보+평균속도정보
 
3

Length

Max length14
Median length4
Mean length4.1128
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9718
97.2%
동작감지녹화 110
 
1.1%
전력사용량정보+고장정보 90
 
0.9%
전력값 측정 79
 
0.8%
교통량측정정보+평균속도정보 3
 
< 0.1%

Length

2024-05-11T10:08:03.661744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:08:04.056181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9718
96.4%
동작감지녹화 110
 
1.1%
전력사용량정보+고장정보 90
 
0.9%
전력값 79
 
0.8%
측정 79
 
0.8%
교통량측정정보+평균속도정보 3
 
< 0.1%

설치연도
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.5%
Missing7780
Missing (%)77.8%
Infinite0
Infinite (%)0.0%
Mean2019.7486
Minimum2014
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:08:04.326180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2017
Q12018
median2021
Q32021
95-th percentile2021
Maximum2023
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6363582
Coefficient of variation (CV)0.00081017915
Kurtosis0.93897394
Mean2019.7486
Median Absolute Deviation (MAD)1
Skewness-1.1447678
Sum4483842
Variance2.6776683
MonotonicityNot monotonic
2024-05-11T10:08:04.595656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2021 1095
 
10.9%
2018 404
 
4.0%
2020 275
 
2.8%
2019 219
 
2.2%
2017 106
 
1.1%
2022 41
 
0.4%
2016 36
 
0.4%
2014 34
 
0.3%
2015 9
 
0.1%
2023 1
 
< 0.1%
(Missing) 7780
77.8%
ValueCountFrequency (%)
2014 34
 
0.3%
2015 9
 
0.1%
2016 36
 
0.4%
2017 106
 
1.1%
2018 404
 
4.0%
2019 219
 
2.2%
2020 275
 
2.8%
2021 1095
10.9%
2022 41
 
0.4%
2023 1
 
< 0.1%
ValueCountFrequency (%)
2023 1
 
< 0.1%
2022 41
 
0.4%
2021 1095
10.9%
2020 275
 
2.8%
2019 219
 
2.2%
2018 404
 
4.0%
2017 106
 
1.1%
2016 36
 
0.4%
2015 9
 
0.1%
2014 34
 
0.3%

관리기관명
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공주시청
4263 
전라남도 화순군
2612 
충청남도 서산시청
1026 
충청남도 홍성군청
768 
강원도 춘천시청
 
196
Other values (28)
1135 

Length

Max length16
Median length14
Mean length6.5382
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row전라남도 화순군
2nd row공주시청
3rd row광주광역시 광산구청
4th row전라남도 화순군
5th row공주시청

Common Values

ValueCountFrequency (%)
공주시청 4263
42.6%
전라남도 화순군 2612
26.1%
충청남도 서산시청 1026
 
10.3%
충청남도 홍성군청 768
 
7.7%
강원도 춘천시청 196
 
2.0%
서울특별시 광진구청 149
 
1.5%
순천시 132
 
1.3%
강원특별자치도 춘천시청 118
 
1.2%
인제군 116
 
1.2%
고창군청,고창경찰서 110
 
1.1%
Other values (23) 510
 
5.1%

Length

2024-05-11T10:08:04.965235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공주시청 4263
27.6%
전라남도 2620
17.0%
화순군 2612
16.9%
충청남도 1883
12.2%
서산시청 1026
 
6.6%
홍성군청 768
 
5.0%
춘천시청 314
 
2.0%
서울특별시 277
 
1.8%
강원도 204
 
1.3%
광진구청 149
 
1.0%
Other values (34) 1336
 
8.6%

관리기관전화번호
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
041-840-8118
4263 
061-379-3742
2612 
041-660-2389
1026 
041-630-1582
768 
033-250-3441
 
314
Other values (28)
1017 

Length

Max length13
Median length12
Mean length11.987
Min length11

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row061-379-3742
2nd row041-840-8118
3rd row062-960-8582
4th row061-379-3742
5th row041-840-8118

Common Values

ValueCountFrequency (%)
041-840-8118 4263
42.6%
061-379-3742 2612
26.1%
041-660-2389 1026
 
10.3%
041-630-1582 768
 
7.7%
033-250-3441 314
 
3.1%
02-450-7872 149
 
1.5%
061-749-6330 131
 
1.3%
033-460-2124 116
 
1.2%
063-560-2418 110
 
1.1%
02-2600-6943 93
 
0.9%
Other values (23) 418
 
4.2%

Length

2024-05-11T10:08:05.358267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
041-840-8118 4263
42.6%
061-379-3742 2612
26.1%
041-660-2389 1026
 
10.3%
041-630-1582 768
 
7.7%
033-250-3441 314
 
3.1%
02-450-7872 149
 
1.5%
061-749-6330 131
 
1.3%
033-460-2124 116
 
1.2%
063-560-2418 110
 
1.1%
02-2600-6943 93
 
0.9%
Other values (23) 418
 
4.2%

데이터기준일자
Categorical

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-21
4263 
2023-07-21
2612 
2023-07-09
1026 
2023-11-13
768 
2023-08-17
 
217
Other values (25)
1114 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row2023-07-21
2nd row2022-11-21
3rd row2024-03-05
4th row2023-07-21
5th row2022-11-21

Common Values

ValueCountFrequency (%)
2022-11-21 4263
42.6%
2023-07-21 2612
26.1%
2023-07-09 1026
 
10.3%
2023-11-13 768
 
7.7%
2023-08-17 217
 
2.2%
2022-08-17 196
 
2.0%
2024-03-28 149
 
1.5%
2022-10-21 132
 
1.3%
2021-10-13 116
 
1.2%
2020-11-30 110
 
1.1%
Other values (20) 411
 
4.1%

Length

2024-05-11T10:08:05.696970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-11-21 4263
42.6%
2023-07-21 2612
26.1%
2023-07-09 1026
 
10.3%
2023-11-13 768
 
7.7%
2023-08-17 217
 
2.2%
2022-08-17 196
 
2.0%
2024-03-28 149
 
1.5%
2022-10-21 132
 
1.3%
2021-10-13 116
 
1.2%
2020-11-30 110
 
1.1%
Other values (20) 411
 
4.1%

제공기관코드
Real number (ℝ)

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4564770.5
Minimum3000000
Maximum5680000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:08:06.024932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile4180000
Q14500000
median4500000
Q34900000
95-th percentile4900000
Maximum5680000
Range2680000
Interquartile range (IQR)400000

Descriptive statistics

Standard deviation333169.54
Coefficient of variation (CV)0.072987139
Kurtosis9.3434742
Mean4564770.5
Median Absolute Deviation (MAD)30000
Skewness-2.4417818
Sum4.5647705 × 1010
Variance1.1100194 × 1011
MonotonicityNot monotonic
2024-05-11T10:08:06.371685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4500000 4263
42.6%
4900000 2612
26.1%
4530000 1026
 
10.3%
4600000 768
 
7.7%
4180000 196
 
2.0%
3040000 149
 
1.5%
4820000 132
 
1.3%
4181000 118
 
1.2%
3150000 93
 
0.9%
4450000 79
 
0.8%
Other values (26) 564
 
5.6%
ValueCountFrequency (%)
3000000 20
 
0.2%
3010000 11
 
0.1%
3040000 149
1.5%
3060000 1
 
< 0.1%
3120000 2
 
< 0.1%
3140000 1
 
< 0.1%
3150000 93
0.9%
3490000 14
 
0.1%
3630000 67
0.7%
3830000 21
 
0.2%
ValueCountFrequency (%)
5680000 14
 
0.1%
5080000 1
 
< 0.1%
4980000 4
 
< 0.1%
4970000 4
 
< 0.1%
4900000 2612
26.1%
4820000 132
 
1.3%
4781000 50
 
0.5%
4780000 60
 
0.6%
4741000 29
 
0.3%
4740000 24
 
0.2%

제공기관명
Categorical

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
충청남도 공주시
4263 
전라남도 화순군
2612 
충청남도 서산시
1026 
충청남도 홍성군
768 
강원도 춘천시
 
196
Other values (31)
1135 

Length

Max length11
Median length8
Mean length8.0823
Min length7

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row전라남도 화순군
2nd row충청남도 공주시
3rd row광주광역시 광산구
4th row전라남도 화순군
5th row충청남도 공주시

Common Values

ValueCountFrequency (%)
충청남도 공주시 4263
42.6%
전라남도 화순군 2612
26.1%
충청남도 서산시 1026
 
10.3%
충청남도 홍성군 768
 
7.7%
강원도 춘천시 196
 
2.0%
서울특별시 광진구 149
 
1.5%
전라남도 순천시 132
 
1.3%
강원특별자치도 춘천시 118
 
1.2%
서울특별시 강서구 93
 
0.9%
충청북도 진천군 79
 
0.8%
Other values (26) 564
 
5.6%

Length

2024-05-11T10:08:06.780840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충청남도 6146
30.7%
공주시 4263
21.3%
전라남도 2752
13.8%
화순군 2612
13.1%
서산시 1026
 
5.1%
홍성군 768
 
3.8%
춘천시 314
 
1.6%
서울특별시 277
 
1.4%
강원도 265
 
1.3%
강원특별자치도 177
 
0.9%
Other values (31) 1400
 
7.0%

Sample

스마트가로등유형시도명시군구명도로명소재지도로명주소소재지지번주소위도경도스마트가로등형태점등상태여부센서종류센싱정보서비스CCTV유무WiFi유무GPS수신기유무비콘유무조명제어여부위급상황신고가능여부앱서비스명앱서비스제공내용기타서비스설치연도관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
99241전라남도화순군전라남도 화순군 화순읍 충의로 58전라남도 화순군 화순읍 충의로 58전라남도 화순군 화순읍 삼천리 747-235.05553126.9840011N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군
78552충청남도공주시공주나들목로<NA>충청남도 공주시 공주시 송선동 554-2536.483145127.1554551N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
19952광주광역시광산구사암로광주광역시 광산구 사암로106번길 99-6광주광역시 광산구 우산동 1062-335.15401126.8131761YGPS센서<NA>YNYNNN<NA><NA><NA><NA>광주광역시 광산구청062-960-85822024-03-053630000광주광역시 광산구
124361전라남도화순군전라남도 화순군 이양면 학포로 217전라남도 화순군 이양면 학포로 217전라남도 화순군 이양면 송정리 703-134.869359127.0047451N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군
22562충청남도공주시금강공원길충청남도 공주시 금강공원길 37-10충청남도 공주시 공주시 금성동 102-236.471623127.1241451N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
96161전라남도화순군전라남도 화순군 화순읍 학포로 2675-1전라남도 화순군 화순읍 학포로 2675-1전라남도 화순군 화순읍 대리 50635.048157126.96391N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군
550401충청남도홍성군남부순환로<NA>충청남도 홍성군 홍성읍 학계리 533-1636.573119126.6556721Y조도센서<NA>NNNNYN<NA><NA><NA><NA>충청남도 홍성군청041-630-15822023-11-134600000충청남도 홍성군
128442충청남도공주시중앙공원1길충청남도 공주시 중앙공원길43충청남도 공주시 공주시 중동 284-536.453699127.126491N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
28972충청남도공주시백제문화로충청남도 공주시 백제문화로 2122충청남도 공주시 공주시 웅진동 756-636.453333127.104511N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
52882충청남도공주시웅진로충청남도 공주시 웅진로 153충청남도 공주시 공주시 중동 173-136.456147127.1246051N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
스마트가로등유형시도명시군구명도로명소재지도로명주소소재지지번주소위도경도스마트가로등형태점등상태여부센서종류센싱정보서비스CCTV유무WiFi유무GPS수신기유무비콘유무조명제어여부위급상황신고가능여부앱서비스명앱서비스제공내용기타서비스설치연도관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
127581전라남도화순군전라남도 화순군 동면 충의로 1160-7전라남도 화순군 동면 충의로 1160-7전라남도 화순군 동면 복암리 517-135.028982127.0754361N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군
87081충청남도서산시성암1로충청남도 서산시 성암1로 1-2충청남도 서산시 읍내동 774-336.778455126.4427311N조도센서디밍NNNYYN가로등제어상태감시 및 조명제어+길찾기 기능 제공<NA>2021충청남도 서산시청041-660-23892023-07-094530000충청남도 서산시
55412충청남도보령시쇳개길충청남도 보령시 쇳개길 28충청남도 보령시 대천동 297-4336.347281126.5888141N적외선센서<NA>YYYNNN<NA><NA><NA><NA>충청남도 보령시청041-930-39912023-11-304510000충청남도 보령시
76502충청남도공주시장기로<NA>충청남도 공주시 공주시 송선동 190-336.486607127.1742761N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
119401전라남도화순군전라남도 화순군 청풍면 학포로 1131-20전라남도 화순군 청풍면 학포로 1131-20전라남도 화순군 청풍면 풍암리 34-634.936073126.9839571N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군
87791충청남도서산시안견로충청남도 서산시 안견로 245충청남도 서산시 동문동 1012-136.777802126.456421N조도센서디밍NNNYYN가로등제어상태감시 및 조명제어+길찾기 기능 제공<NA>2021충청남도 서산시청041-660-23892023-07-094530000충청남도 서산시
102322충청남도공주시금학동길충청남도 공주시 금학동길 21충청남도 공주시 공주시 금학동 37036.441574127.1204351N무무YNNNYN<NA>무<NA><NA>공주시청041-840-81182022-11-214500000충청남도 공주시
922702경기도가평군석봉로239번길경기도 가평군 가평읍 읍내리 776-6경기도 가평군 가평읍 읍내리 776-637.836232127.5078291Y조도센서방범NYYNYN네브레이코리아<NA><NA>2016경기도 가평군청031-580-21002023-06-224160000경기도 가평군
31311충청남도서산시고운로충청남도 서산시 고운로 325충청남도 서산시 잠홍동 504-136.786037126.4705581N조도센서디밍NNNYYN가로등제어상태감시 및 조명제어+길찾기 기능 제공<NA>2021충청남도 서산시청041-660-23892023-07-094530000충청남도 서산시
100572충청남도보령시구장터로충청남도 보령시 구장터로 33충청남도 보령시 대천동 618-8936.347531126.5956121N적외선센서<NA>YYYNNN<NA><NA><NA><NA>충청남도 보령시청041-930-39912023-11-304510000충청남도 보령시

Duplicate rows

Most frequently occurring

스마트가로등유형시도명시군구명도로명소재지도로명주소소재지지번주소위도경도스마트가로등형태점등상태여부센서종류센싱정보서비스CCTV유무WiFi유무GPS수신기유무비콘유무조명제어여부위급상황신고가능여부앱서비스명앱서비스제공내용기타서비스설치연도관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명# duplicates
82전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 212834.92945127.5441151N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시14
01전라남도화순군전라남도 화순군 춘양면 학포로 1407전라남도 화순군 춘양면 학포로 1407전라남도 화순군 춘양면 석정리 135-334.953109126.9668771N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군10
122전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 216234.922897127.5473031N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시6
102전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 215834.922501127.5508431N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시5
172전라남도순천시연향로<NA>전라남도 순천시 해룡면 상삼리 70334.94341127.531151N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시5
11전라남도화순군전라남도 화순군 화순읍 용곡1길 4-10전라남도 화순군 화순읍 용곡1길 4-10전라남도 화순군 화순읍 일심리 52435.063536126.9989691N조도센서<NA>NNNNNN스마트조명지킴이위치+고장수리서비스<NA><NA>전라남도 화순군061-379-37422023-07-214900000전라남도 화순군4
42전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 207034.936303127.5519291N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시4
52전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 207134.933619127.5579811N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시4
72전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 212034.937483127.5423711N조도센서<NA>NYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시4
132전라남도순천시신대로<NA>전라남도 순천시 해룡면 신대리 216234.922897127.5473031N조도센서<NA>YYYNYN<NA><NA><NA>2018순천시061-749-63302022-10-214820000전라남도 순천시4