Overview

Dataset statistics

Number of variables8
Number of observations166
Missing cells0
Missing cells (%)0.0%
Duplicate rows11
Duplicate rows (%)6.6%
Total size in memory11.0 KiB
Average record size in memory67.8 B

Variable types

Text3
Numeric2
Categorical3

Dataset

Description울산광역시 구군에 설치된 그늘막 정보(설치위치, 설치연도, 도로명주소, 지번주소, 위경도 등) 정보를 제공하고 있음.
Author울산광역시
URLhttps://www.data.go.kr/data/15068259/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 11 (6.6%) duplicate rowsDuplicates
위도 is highly overall correlated with 구군명High correlation
경도 is highly overall correlated with 구군명High correlation
구군명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 09:05:32.400897
Analysis finished2023-12-12 09:05:33.679039
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치위치
Text

Distinct151
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T18:05:33.868478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length11.439759
Min length4

Characters and Unicode

Total characters1899
Distinct characters289
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

Unique139 ?
Unique (%)83.7%

Sample

1st row학성공원사거리 울산약국 앞
2nd row학성공원사거리 인력산업 앞
3rd row복산성당 교통섬
4th row반구사거리 교통섬 울산H병원 앞
5th row반구사거리 교통섬 스포츠재활
ValueCountFrequency (%)
앞 70
 
17.5%
사거리 10
 
2.5%
건너편 7
 
1.8%
내 6
 
1.5%
맞은편 6
 
1.5%
교통섬 6
 
1.5%
횡단보도 5
 
1.2%
한양수자인 4
 
1.0%
ktx울산역 4
 
1.0%
현대차 4
 
1.0%
Other values (212) 278
69.5%
2023-12-12T18:05:34.340272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
236
 
12.4%
리 85
 
4.5%
앞 78
 
4.1%
거 66
 
3.5%
사 58
 
3.1%
산 38
 
2.0%
교 28
 
1.5%
( 25
 
1.3%
) 25
 
1.3%
정 25
 
1.3%
Other values (279) 1235
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1547
81.5%
Space Separator 236
 
12.4%
Decimal Number 39
 
2.1%
Uppercase Letter 27
 
1.4%
Open Punctuation 25
 
1.3%
Close Punctuation 25
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 85
 
5.5%
앞 78
 
5.0%
거 66
 
4.3%
사 58
 
3.7%
산 38
 
2.5%
교 28
 
1.8%
정 25
 
1.6%
문 24
 
1.6%
장 23
 
1.5%
지 21
 
1.4%
Other values (255) 1101
71.2%
Uppercase Letter
ValueCountFrequency (%)
K 6
22.2%
X 4
14.8%
T 4
14.8%
B 3
11.1%
C 2
 
7.4%
S 2
 
7.4%
I 1
 
3.7%
H 1
 
3.7%
U 1
 
3.7%
F 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
2 11
28.2%
1 9
23.1%
5 4
 
10.3%
0 4
 
10.3%
4 4
 
10.3%
9 3
 
7.7%
3 2
 
5.1%
7 1
 
2.6%
6 1
 
2.6%
Space Separator
ValueCountFrequency (%)
236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1547
81.5%
Common 325
 
17.1%
Latin 27
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 85
 
5.5%
앞 78
 
5.0%
거 66
 
4.3%
사 58
 
3.7%
산 38
 
2.5%
교 28
 
1.8%
정 25
 
1.6%
문 24
 
1.6%
장 23
 
1.5%
지 21
 
1.4%
Other values (255) 1101
71.2%
Common
ValueCountFrequency (%)
236
72.6%
( 25
 
7.7%
) 25
 
7.7%
2 11
 
3.4%
1 9
 
2.8%
5 4
 
1.2%
0 4
 
1.2%
4 4
 
1.2%
9 3
 
0.9%
3 2
 
0.6%
Other values (2) 2
 
0.6%
Latin
ValueCountFrequency (%)
K 6
22.2%
X 4
14.8%
T 4
14.8%
B 3
11.1%
C 2
 
7.4%
S 2
 
7.4%
I 1
 
3.7%
H 1
 
3.7%
U 1
 
3.7%
F 1
 
3.7%
Other values (2) 2
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1547
81.5%
ASCII 352
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
236
67.0%
( 25
 
7.1%
) 25
 
7.1%
2 11
 
3.1%
1 9
 
2.6%
K 6
 
1.7%
X 4
 
1.1%
5 4
 
1.1%
0 4
 
1.1%
4 4
 
1.1%
Other values (14) 24
 
6.8%
Hangul
ValueCountFrequency (%)
리 85
 
5.5%
앞 78
 
5.0%
거 66
 
4.3%
사 58
 
3.7%
산 38
 
2.5%
교 28
 
1.8%
정 25
 
1.6%
문 24
 
1.6%
장 23
 
1.5%
지 21
 
1.4%
Other values (255) 1101
71.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct140
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.560626
Minimum35.415973
Maximum35.662882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T18:05:34.512999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.415973
5-th percentile35.487538
Q135.543103
median35.55862
Q335.574255
95-th percentile35.636225
Maximum35.662882
Range0.2469082
Interquartile range (IQR)0.031152325

Descriptive statistics

Standard deviation0.042405389
Coefficient of variation (CV)0.0011924815
Kurtosis2.1919449
Mean35.560626
Median Absolute Deviation (MAD)0.01563555
Skewness-0.46979967
Sum5903.0639
Variance0.001798217
MonotonicityNot monotonic
2023-12-12T18:05:34.720538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.5531676 4
 
2.4%
35.5596698 3
 
1.8%
35.561323 3
 
1.8%
35.5605146 3
 
1.8%
35.631506 2
 
1.2%
35.530653 2
 
1.2%
35.5742551 2
 
1.2%
35.4837669 2
 
1.2%
35.5450787 2
 
1.2%
35.5438966 2
 
1.2%
Other values (130) 141
84.9%
ValueCountFrequency (%)
35.4159734 1
0.6%
35.4328541 1
0.6%
35.4338928 1
0.6%
35.4339454 1
0.6%
35.4340421 1
0.6%
35.4346936 1
0.6%
35.4648047 1
0.6%
35.4837669 2
1.2%
35.4988521 1
0.6%
35.5194954 1
0.6%
ValueCountFrequency (%)
35.6628816 1
0.6%
35.6447811 2
1.2%
35.6438267 1
0.6%
35.6414494 1
0.6%
35.6390092 1
0.6%
35.6375973 2
1.2%
35.6364408 1
0.6%
35.635577 1
0.6%
35.6341739 1
0.6%
35.6341569 2
1.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct140
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.31378
Minimum129.11181
Maximum129.43915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T18:05:34.927732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11181
5-th percentile129.11933
Q1129.29789
median129.33017
Q3129.35158
95-th percentile129.42759
Maximum129.43915
Range0.3273391
Interquartile range (IQR)0.053691675

Descriptive statistics

Standard deviation0.072436719
Coefficient of variation (CV)0.00056016241
Kurtosis1.7997697
Mean129.31378
Median Absolute Deviation (MAD)0.0267305
Skewness-1.1859591
Sum21466.087
Variance0.0052470782
MonotonicityNot monotonic
2023-12-12T18:05:35.143111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1118103 4
 
2.4%
129.2314714 3
 
1.8%
129.2989556 3
 
1.8%
129.3515773 3
 
1.8%
129.437057 2
 
1.2%
129.3147156 2
 
1.2%
129.243735 2
 
1.2%
129.306251 2
 
1.2%
129.3357618 2
 
1.2%
129.3420534 2
 
1.2%
Other values (130) 141
84.9%
ValueCountFrequency (%)
129.1118103 4
2.4%
129.1140094 1
 
0.6%
129.1157887 1
 
0.6%
129.1178689 1
 
0.6%
129.1182568 1
 
0.6%
129.1184407 1
 
0.6%
129.1220153 1
 
0.6%
129.1257998 1
 
0.6%
129.1268274 1
 
0.6%
129.2095934 1
 
0.6%
ValueCountFrequency (%)
129.4391494 1
0.6%
129.4382339 1
0.6%
129.4373605 1
0.6%
129.437057 2
1.2%
129.4311607 1
0.6%
129.4292138 1
0.6%
129.4285111 1
0.6%
129.4280201 1
0.6%
129.426289 1
0.6%
129.4233288 1
0.6%

도로명 주소
Text

Distinct140
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T18:05:35.693643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length20.325301
Min length11

Characters and Unicode

Total characters3374
Distinct characters150
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

Unique118 ?
Unique (%)71.1%

Sample

1st row울산광역시 중구 학성로 239(학성동)
2nd row울산광역시 중구 학성공원13길 44(학성동)
3rd row울산광역시 중구 구역전길 37(학산동)
4th row울산광역시 중구 화합로 363(반구동)
5th row울산광역시 중구 화합로 358(반구동)
ValueCountFrequency (%)
울산광역시 164
23.0%
중구 48
 
6.7%
북구 43
 
6.0%
울주군 37
 
5.2%
남구 31
 
4.3%
범서읍 15
 
2.1%
번영로 13
 
1.8%
신정동 8
 
1.1%
서부동 7
 
1.0%
언양읍 7
 
1.0%
Other values (229) 341
47.8%
2023-12-12T18:05:36.453288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
 
16.2%
울 205
 
6.1%
산 193
 
5.7%
시 167
 
4.9%
역 165
 
4.9%
광 164
 
4.9%
구 145
 
4.3%
동 140
 
4.1%
1 82
 
2.4%
2 65
 
1.9%
Other values (140) 1500
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2081
61.7%
Space Separator 548
 
16.2%
Decimal Number 547
 
16.2%
Open Punctuation 64
 
1.9%
Close Punctuation 64
 
1.9%
Dash Punctuation 63
 
1.9%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 205
 
9.9%
산 193
 
9.3%
시 167
 
8.0%
역 165
 
7.9%
광 164
 
7.9%
구 145
 
7.0%
동 140
 
6.7%
로 59
 
2.8%
중 54
 
2.6%
남 49
 
2.4%
Other values (125) 740
35.6%
Decimal Number
ValueCountFrequency (%)
1 82
15.0%
2 65
11.9%
5 64
11.7%
3 64
11.7%
4 55
10.1%
7 54
9.9%
9 51
9.3%
8 45
8.2%
6 40
7.3%
0 27
 
4.9%
Space Separator
ValueCountFrequency (%)
548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2081
61.7%
Common 1293
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 205
 
9.9%
산 193
 
9.3%
시 167
 
8.0%
역 165
 
7.9%
광 164
 
7.9%
구 145
 
7.0%
동 140
 
6.7%
로 59
 
2.8%
중 54
 
2.6%
남 49
 
2.4%
Other values (125) 740
35.6%
Common
ValueCountFrequency (%)
548
42.4%
1 82
 
6.3%
2 65
 
5.0%
5 64
 
4.9%
( 64
 
4.9%
) 64
 
4.9%
3 64
 
4.9%
- 63
 
4.9%
4 55
 
4.3%
7 54
 
4.2%
Other values (5) 170
 
13.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2081
61.7%
ASCII 1293
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
42.4%
1 82
 
6.3%
2 65
 
5.0%
5 64
 
4.9%
( 64
 
4.9%
) 64
 
4.9%
3 64
 
4.9%
- 63
 
4.9%
4 55
 
4.3%
7 54
 
4.2%
Other values (5) 170
 
13.1%
Hangul
ValueCountFrequency (%)
울 205
 
9.9%
산 193
 
9.3%
시 167
 
8.0%
역 165
 
7.9%
광 164
 
7.9%
구 145
 
7.0%
동 140
 
6.7%
로 59
 
2.8%
중 54
 
2.6%
남 49
 
2.4%
Other values (125) 740
35.6%

지번 주소
Text

Distinct140
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T18:05:36.877923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length20.662651
Min length11

Characters and Unicode

Total characters3430
Distinct characters176
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

Unique118 ?
Unique (%)71.1%

Sample

1st row울산광역시 중구 학성동 60-1
2nd row울산광역시 중구 학성동 62-14
3rd row울산광역시 중구 학산동 189-19
4th row울산광역시 중구 반구동 265-10
5th row울산광역시 중구 반구동 447-22
ValueCountFrequency (%)
울산광역시 165
22.2%
중구 48
 
6.5%
북구 43
 
5.8%
울주군 38
 
5.1%
남구 31
 
4.2%
범서읍 15
 
2.0%
신정동 12
 
1.6%
남외동 9
 
1.2%
언양읍 8
 
1.1%
동구 7
 
0.9%
Other values (221) 368
49.5%
2023-12-12T18:05:37.442623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
578
16.9%
울 211
 
6.2%
산 197
 
5.7%
시 168
 
4.9%
광 165
 
4.8%
역 165
 
4.8%
구 148
 
4.3%
동 147
 
4.3%
- 126
 
3.7%
1 114
 
3.3%
Other values (166) 1411
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2069
60.3%
Decimal Number 648
 
18.9%
Space Separator 578
 
16.9%
Dash Punctuation 126
 
3.7%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 211
 
10.2%
산 197
 
9.5%
시 168
 
8.1%
광 165
 
8.0%
역 165
 
8.0%
구 148
 
7.2%
동 147
 
7.1%
중 54
 
2.6%
남 49
 
2.4%
북 43
 
2.1%
Other values (151) 722
34.9%
Decimal Number
ValueCountFrequency (%)
1 114
17.6%
2 89
13.7%
4 69
10.6%
5 65
10.0%
3 63
9.7%
9 60
9.3%
7 55
8.5%
6 55
8.5%
8 44
 
6.8%
0 34
 
5.2%
Space Separator
ValueCountFrequency (%)
578
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2069
60.3%
Common 1361
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 211
 
10.2%
산 197
 
9.5%
시 168
 
8.1%
광 165
 
8.0%
역 165
 
8.0%
구 148
 
7.2%
동 147
 
7.1%
중 54
 
2.6%
남 49
 
2.4%
북 43
 
2.1%
Other values (151) 722
34.9%
Common
ValueCountFrequency (%)
578
42.5%
- 126
 
9.3%
1 114
 
8.4%
2 89
 
6.5%
4 69
 
5.1%
5 65
 
4.8%
3 63
 
4.6%
9 60
 
4.4%
7 55
 
4.0%
6 55
 
4.0%
Other values (5) 87
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2069
60.3%
ASCII 1361
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
578
42.5%
- 126
 
9.3%
1 114
 
8.4%
2 89
 
6.5%
4 69
 
5.1%
5 65
 
4.8%
3 63
 
4.6%
9 60
 
4.4%
7 55
 
4.0%
6 55
 
4.0%
Other values (5) 87
 
6.4%
Hangul
ValueCountFrequency (%)
울 211
 
10.2%
산 197
 
9.5%
시 168
 
8.1%
광 165
 
8.0%
역 165
 
8.0%
구 148
 
7.2%
동 147
 
7.1%
중 54
 
2.6%
남 49
 
2.4%
북 43
 
2.1%
Other values (151) 722
34.9%

설치연도
Categorical

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2019
59 
<NA>
48 
2018
29 
2020
20 
2017
10 

Length

Max length4
Median length4
Mean length4
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 (%)
2019 59
35.5%
<NA> 48
28.9%
2018 29
17.5%
2020 20
 
12.0%
2017 10
 
6.0%

Length

2023-12-12T18:05:37.567484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:37.682046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 59
35.5%
na 48
28.9%
2018 29
17.5%
2020 20
 
12.0%
2017 10
 
6.0%

구군명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
중구
48 
북구
43 
울주군
37 
남구
31 
동구
7 

Length

Max length3
Median length2
Mean length2.2228916
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 48
28.9%
북구 43
25.9%
울주군 37
22.3%
남구 31
18.7%
동구 7
 
4.2%

Length

2023-12-12T18:05:37.884712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:38.373248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 48
28.9%
북구 43
25.9%
울주군 37
22.3%
남구 31
18.7%
동구 7
 
4.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2021-11-12
166 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-11-12
2nd row2021-11-12
3rd row2021-11-12
4th row2021-11-12
5th row2021-11-12

Common Values

ValueCountFrequency (%)
2021-11-12 166
100.0%

Length

2023-12-12T18:05:38.505351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:05:38.616259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-11-12 166
100.0%

Interactions

2023-12-12T18:05:33.163232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:05:32.939211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:05:33.284652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:05:33.029877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:05:38.693783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도구군명
위도1.0000.7190.4100.847
경도0.7191.0000.3920.802
설치연도0.4100.3921.0000.802
구군명0.8470.8020.8021.000
2023-12-12T18:05:38.811722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군명설치연도
구군명1.0000.443
설치연도0.4431.000
2023-12-12T18:05:38.914699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치연도구군명
위도1.0000.2260.2490.503
경도0.2261.0000.2710.628
설치연도0.2490.2711.0000.443
구군명0.5030.6280.4431.000

Missing values

2023-12-12T18:05:33.460204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:05:33.602152image/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

설치위치위도경도도로명 주소지번 주소설치연도구군명데이터기준일자
0학성공원사거리 울산약국 앞35.556439129.337061울산광역시 중구 학성로 239(학성동)울산광역시 중구 학성동 60-1<NA>중구2021-11-12
1학성공원사거리 인력산업 앞35.555504129.337258울산광역시 중구 학성공원13길 44(학성동)울산광역시 중구 학성동 62-14<NA>중구2021-11-12
2복산성당 교통섬35.558522129.328073울산광역시 중구 구역전길 37(학산동)울산광역시 중구 학산동 189-19<NA>중구2021-11-12
3반구사거리 교통섬 울산H병원 앞35.558368129.340801울산광역시 중구 화합로 363(반구동)울산광역시 중구 반구동 265-10<NA>중구2021-11-12
4반구사거리 교통섬 스포츠재활35.557888129.341877울산광역시 중구 화합로 358(반구동)울산광역시 중구 반구동 447-22<NA>중구2021-11-12
5반구시장 김밥천국 앞35.559215129.343883울산광역시 중구 염포로 20(반구동)울산광역시 중구 반구동 449-1<NA>중구2021-11-12
6복산사거리 피자스쿨 앞35.563793129.33604울산광역시 중구 번영로 478(반구동)울산광역시 중구 반구동 62-4<NA>중구2021-11-12
7복산사거리 던킨도너츠 앞35.564031129.336429울산광역시 중구 번영로 482(반구동)울산광역시 중구 반구동 54-1<NA>중구2021-11-12
8병영오거리 교통섬 하나로마트 앞35.56784129.343503울산광역시 중구 구교로 268(남외동)울산광역시 중구 남외동 456-6<NA>중구2021-11-12
9구철길사거리 교통섬 낙지한마당 앞35.558717129.340536울산광역시 중구 화합로 371(반구동)울산광역시 중구 반구동 262-30<NA>중구2021-11-12
설치위치위도경도도로명 주소지번 주소설치연도구군명데이터기준일자
156송정 한양수자인35.602644129.362143울산광역시 북구 박상진3로 25(송정동, 한양수자인)울산광역시 북구 송정동 1207-3 한양수자인2019북구2021-11-12
157송정 금강펜테리움35.597629129.366251울산광역시 북구 화봉동 246울산광역시 북구 화봉동 2462019북구2021-11-12
158송정 금강펜테리움35.597629129.366251울산광역시 북구 화봉동 246울산광역시 북구 화봉동 2462019북구2021-11-12
159현대차 출고삼거리35.559298129.376891울산광역시 북구 양정동 779-14울산광역시 북구 양정동 779-142019북구2021-11-12
160현대차 2공장35.553953129.381725울산광역시 북구 양정동 59-26울산광역시 북구 양정동 59-262019북구2021-11-12
161현대차 정문35.543031129.38494울산광역시 북구 양정동 595-7울산광역시 북구 양정동 595-72019북구2021-11-12
162구암의원35.535676129.38927울산광역시 북구 염포로 633(염포동)울산광역시 북구 염포동 138-192019북구2021-11-12
163성원상떼빌 정문35.53172129.392189울산광역시 북구 염포동 335-2울산광역시 북구 염포동 335-22019북구2021-11-12
164염포삼거리 삼포개항비35.524919129.400445울산광역시 북구 염포동 583-1울산광역시 북구 염포동 583-12019북구2021-11-12
165현대차 5공장35.533607129.390625울산광역시 북구 염포로 659(염포동)울산광역시 북구 염포동 185-32019북구2021-11-12

Duplicate rows

Most frequently occurring

설치위치위도경도도로명 주소지번 주소설치연도구군명데이터기준일자# duplicates
2병영 약사천35.560515129.351577울산광역시 중구 번영로 574(남외동)울산광역시 중구 남외동 441-1 동천빌딩<NA>중구2021-11-123
9함월 노인복지관35.561323129.298956울산광역시 중구 종가3길 15(유곡동)울산광역시 중구 유곡동 216-3 중구종합사회복지관(본관)함월노인복지관<NA>중구2021-11-123
0강동119안전센터35.631506129.437057울산광역시 북구 산하동 296울산광역시 북구 산하동 2962019북구2021-11-122
1냉천사거리35.634157129.349053울산광역시 북구 신천동 315-1울산광역시 북구 신천동 315-12018북구2021-11-122
3삼성디지털프라자35.56043129.357145울산광역시 북구 염포로 162(진장동)울산광역시 북구 진장동 756-62019북구2021-11-122
4송정 금강펜테리움35.597629129.366251울산광역시 북구 화봉동 246울산광역시 북구 화봉동 2462019북구2021-11-122
5송정 한양수자인35.602644129.362143울산광역시 북구 박상진3로 25(송정동, 한양수자인)울산광역시 북구 송정동 1207-3 한양수자인2019북구2021-11-122
6옥교어린이집 내35.552585129.330169울산광역시 중구 옥교8길 45(학산동)울산광역시 중구 학산동 18-1<NA>중구2021-11-122
7외솔중학교 후문 맞은편35.584257129.343435울산광역시 중구 종가로 710(서동)울산광역시 중구 서동 622 외솔중학교<NA>중구2021-11-122
8울산어린이집 내35.555843129.305192울산광역시 중구 화진4길 49(태화동)울산광역시 중구 태화동 27-1<NA>중구2021-11-122