Overview

Dataset statistics

Number of variables27
Number of observations988
Missing cells113
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory223.0 KiB
Average record size in memory231.1 B

Variable types

Categorical12
Numeric12
Text2
Boolean1

Dataset

Description2019년 기준부터 2021년까지 울산광역시 국가산단지역의 재난일시, 재난장소, 출동대 안전센터, 기상정보 데이터
Author울산광역시
URLhttps://www.data.go.kr/data/15109143/fileData.do

Alerts

재난시명 has constant value ""Constant
지하 여부 has constant value ""Constant
화학사고여부 has constant value ""Constant
강수형태 is highly imbalanced (70.7%)Imbalance
도로명 has 57 (5.8%) missing valuesMissing
읍면동순번 has 56 (5.7%) missing valuesMissing
신고시 has 21 (2.1%) zerosZeros
신고분 has 11 (1.1%) zerosZeros
상황종료시 has 24 (2.4%) zerosZeros
상황종료분 has 19 (1.9%) zerosZeros
풍속 has 65 (6.6%) zerosZeros

Reproduction

Analysis started2024-03-14 10:47:38.565071
Analysis finished2024-03-14 10:47:39.185200
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수경로명
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
이동전화
606 
일반전화
197 
기타
97 
사후각지
 
55
IP전화
 
32

Length

Max length5
Median length4
Mean length3.8046559
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row이동전화
2nd row기타
3rd row기타
4th row이동전화
5th row일반전화

Common Values

ValueCountFrequency (%)
이동전화 606
61.3%
일반전화 197
 
19.9%
기타 97
 
9.8%
사후각지 55
 
5.6%
IP전화 32
 
3.2%
WEB신고 1
 
0.1%

Length

2024-03-14T19:47:39.394974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:39.734684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이동전화 606
61.3%
일반전화 197
 
19.9%
기타 97
 
9.8%
사후각지 55
 
5.6%
ip전화 32
 
3.2%
web신고 1
 
0.1%

신고연도
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2021
386 
2019
308 
2020
294 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2021 386
39.1%
2019 308
31.2%
2020 294
29.8%

Length

2024-03-14T19:47:40.111434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:40.419945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 386
39.1%
2019 308
31.2%
2020 294
29.8%

신고월
Real number (ℝ)

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1153846
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:40.734640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9731739
Coefficient of variation (CV)0.41785147
Kurtosis-0.7261641
Mean7.1153846
Median Absolute Deviation (MAD)2
Skewness-0.27617676
Sum7030
Variance8.8397631
MonotonicityNot monotonic
2024-03-14T19:47:41.110525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 139
14.1%
7 130
13.2%
9 112
11.3%
10 94
9.5%
6 87
8.8%
5 84
8.5%
12 69
7.0%
11 67
6.8%
3 66
6.7%
4 59
6.0%
Other values (2) 81
8.2%
ValueCountFrequency (%)
1 43
 
4.4%
2 38
 
3.8%
3 66
6.7%
4 59
6.0%
5 84
8.5%
6 87
8.8%
7 130
13.2%
8 139
14.1%
9 112
11.3%
10 94
9.5%
ValueCountFrequency (%)
12 69
7.0%
11 67
6.8%
10 94
9.5%
9 112
11.3%
8 139
14.1%
7 130
13.2%
6 87
8.8%
5 84
8.5%
4 59
6.0%
3 66
6.7%

신고일
Real number (ℝ)

Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.628543
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:41.479473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29.65
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8407431
Coefficient of variation (CV)0.56567931
Kurtosis-1.2063732
Mean15.628543
Median Absolute Deviation (MAD)8
Skewness0.026692377
Sum15441
Variance78.158739
MonotonicityNot monotonic
2024-03-14T19:47:42.078850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19 48
 
4.9%
3 43
 
4.4%
5 42
 
4.3%
24 39
 
3.9%
10 39
 
3.9%
4 38
 
3.8%
21 37
 
3.7%
29 35
 
3.5%
18 34
 
3.4%
15 34
 
3.4%
Other values (21) 599
60.6%
ValueCountFrequency (%)
1 25
2.5%
2 31
3.1%
3 43
4.4%
4 38
3.8%
5 42
4.3%
6 32
3.2%
7 27
2.7%
8 29
2.9%
9 30
3.0%
10 39
3.9%
ValueCountFrequency (%)
31 21
2.1%
30 29
2.9%
29 35
3.5%
28 30
3.0%
27 32
3.2%
26 26
2.6%
25 23
2.3%
24 39
3.9%
23 33
3.3%
22 25
2.5%

신고시
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.053644
Minimum0
Maximum23
Zeros21
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:42.456900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median12
Q316
95-th percentile21
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.3035666
Coefficient of variation (CV)0.43999696
Kurtosis-0.44852591
Mean12.053644
Median Absolute Deviation (MAD)4
Skewness-0.055158073
Sum11909
Variance28.127819
MonotonicityNot monotonic
2024-03-14T19:47:42.824546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9 82
 
8.3%
13 77
 
7.8%
14 76
 
7.7%
8 72
 
7.3%
11 67
 
6.8%
10 65
 
6.6%
16 63
 
6.4%
15 62
 
6.3%
7 43
 
4.4%
17 42
 
4.3%
Other values (14) 339
34.3%
ValueCountFrequency (%)
0 21
 
2.1%
1 10
 
1.0%
2 15
 
1.5%
3 13
 
1.3%
4 17
 
1.7%
5 26
 
2.6%
6 37
3.7%
7 43
4.4%
8 72
7.3%
9 82
8.3%
ValueCountFrequency (%)
23 14
 
1.4%
22 29
 
2.9%
21 27
 
2.7%
20 29
 
2.9%
19 18
 
1.8%
18 41
4.1%
17 42
4.3%
16 63
6.4%
15 62
6.3%
14 76
7.7%

신고분
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.774291
Minimum0
Maximum59
Zeros11
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:43.206968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median29
Q345
95-th percentile57
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation17.777719
Coefficient of variation (CV)0.59708285
Kurtosis-1.2605867
Mean29.774291
Median Absolute Deviation (MAD)16
Skewness0.025877737
Sum29417
Variance316.04728
MonotonicityNot monotonic
2024-03-14T19:47:43.700960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 27
 
2.7%
43 26
 
2.6%
59 25
 
2.5%
57 23
 
2.3%
54 23
 
2.3%
6 22
 
2.2%
8 22
 
2.2%
45 22
 
2.2%
44 22
 
2.2%
58 21
 
2.1%
Other values (50) 755
76.4%
ValueCountFrequency (%)
0 11
1.1%
1 14
1.4%
2 17
1.7%
3 16
1.6%
4 16
1.6%
5 20
2.0%
6 22
2.2%
7 17
1.7%
8 22
2.2%
9 20
2.0%
ValueCountFrequency (%)
59 25
2.5%
58 21
2.1%
57 23
2.3%
56 16
1.6%
55 18
1.8%
54 23
2.3%
53 21
2.1%
52 12
1.2%
51 9
 
0.9%
50 8
 
0.8%

재난시명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
울산광역시
988 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 988
100.0%

Length

2024-03-14T19:47:44.121041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:44.419295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 988
100.0%

재난구명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
남구
451 
울주군
313 
북구
200 
동구
 
24

Length

Max length3
Median length2
Mean length2.3168016
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북구
2nd row남구
3rd row울주군
4th row북구
5th row남구

Common Values

ValueCountFrequency (%)
남구 451
45.6%
울주군 313
31.7%
북구 200
20.2%
동구 24
 
2.4%

Length

2024-03-14T19:47:44.775187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:44.966275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 451
45.6%
울주군 313
31.7%
북구 200
20.2%
동구 24
 
2.4%

재난동명
Categorical

Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
온산읍
309 
여천동
128 
효문동
120 
매암동
103 
부곡동
55 
Other values (18)
273 

Length

Max length4
Median length3
Mean length3.0010121
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row양정동
2nd row선암동
3rd row온산읍
4th row효문동
5th row황성동

Common Values

ValueCountFrequency (%)
온산읍 309
31.3%
여천동 128
13.0%
효문동 120
 
12.1%
매암동 103
 
10.4%
부곡동 55
 
5.6%
연암동 53
 
5.4%
용연동 44
 
4.5%
성암동 41
 
4.1%
황성동 26
 
2.6%
상개동 18
 
1.8%
Other values (13) 91
 
9.2%

Length

2024-03-14T19:47:45.229302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온산읍 309
31.3%
여천동 128
13.0%
효문동 120
 
12.1%
매암동 103
 
10.4%
부곡동 55
 
5.6%
연암동 53
 
5.4%
용연동 44
 
4.5%
성암동 41
 
4.1%
황성동 26
 
2.6%
상개동 18
 
1.8%
Other values (13) 91
 
9.2%

재난리명
Categorical

Distinct32
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
여천동
128 
효문동
120 
매암동
103 
원산리
95 
화산리
89 
Other values (27)
453 

Length

Max length4
Median length3
Mean length3.0010121
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row양정동
2nd row선암동
3rd row원산리
4th row효문동
5th row황성동

Common Values

ValueCountFrequency (%)
여천동 128
13.0%
효문동 120
12.1%
매암동 103
10.4%
원산리 95
9.6%
화산리 89
 
9.0%
부곡동 55
 
5.6%
연암동 53
 
5.4%
용연동 44
 
4.5%
성암동 41
 
4.1%
학남리 33
 
3.3%
Other values (22) 227
23.0%

Length

2024-03-14T19:47:45.446480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
여천동 128
13.0%
효문동 120
12.1%
매암동 103
10.4%
원산리 95
9.6%
화산리 89
 
9.0%
부곡동 55
 
5.6%
연암동 53
 
5.4%
용연동 44
 
4.5%
성암동 41
 
4.1%
학남리 33
 
3.3%
Other values (22) 227
23.0%

상황종료연도
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2021
386 
2019
308 
2020
294 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2021 386
39.1%
2019 308
31.2%
2020 294
29.8%

Length

2024-03-14T19:47:45.808456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:46.116438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 386
39.1%
2019 308
31.2%
2020 294
29.8%

상황종료월
Real number (ℝ)

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1194332
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:46.332786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9713094
Coefficient of variation (CV)0.41735196
Kurtosis-0.72213662
Mean7.1194332
Median Absolute Deviation (MAD)2
Skewness-0.27608612
Sum7034
Variance8.8286797
MonotonicityNot monotonic
2024-03-14T19:47:46.699939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 139
14.1%
7 130
13.2%
9 112
11.3%
10 93
9.4%
6 88
8.9%
5 83
8.4%
12 69
7.0%
11 68
6.9%
3 64
6.5%
4 61
6.2%
Other values (2) 81
8.2%
ValueCountFrequency (%)
1 43
 
4.4%
2 38
 
3.8%
3 64
6.5%
4 61
6.2%
5 83
8.4%
6 88
8.9%
7 130
13.2%
8 139
14.1%
9 112
11.3%
10 93
9.4%
ValueCountFrequency (%)
12 69
7.0%
11 68
6.9%
10 93
9.4%
9 112
11.3%
8 139
14.1%
7 130
13.2%
6 88
8.9%
5 83
8.4%
4 61
6.2%
3 64
6.5%

상황종료일
Real number (ℝ)

Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.533401
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:47.066328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8386355
Coefficient of variation (CV)0.5690084
Kurtosis-1.208603
Mean15.533401
Median Absolute Deviation (MAD)8
Skewness0.0267625
Sum15347
Variance78.121477
MonotonicityNot monotonic
2024-03-14T19:47:47.464452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19 48
 
4.9%
24 43
 
4.4%
3 43
 
4.4%
5 41
 
4.1%
10 40
 
4.0%
4 37
 
3.7%
29 36
 
3.6%
6 34
 
3.4%
18 34
 
3.4%
21 33
 
3.3%
Other values (21) 599
60.6%
ValueCountFrequency (%)
1 28
2.8%
2 32
3.2%
3 43
4.4%
4 37
3.7%
5 41
4.1%
6 34
3.4%
7 26
2.6%
8 30
3.0%
9 29
2.9%
10 40
4.0%
ValueCountFrequency (%)
31 17
 
1.7%
30 30
3.0%
29 36
3.6%
28 28
2.8%
27 32
3.2%
26 27
2.7%
25 22
2.2%
24 43
4.4%
23 29
2.9%
22 29
2.9%

상황종료시
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.724696
Minimum0
Maximum23
Zeros24
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:47.838940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median13
Q317
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.3561238
Coefficient of variation (CV)0.42092351
Kurtosis-0.33666733
Mean12.724696
Median Absolute Deviation (MAD)4
Skewness-0.26331696
Sum12572
Variance28.688062
MonotonicityNot monotonic
2024-03-14T19:47:48.203900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15 78
 
7.9%
10 77
 
7.8%
14 77
 
7.8%
9 72
 
7.3%
16 71
 
7.2%
17 71
 
7.2%
13 59
 
6.0%
12 53
 
5.4%
11 52
 
5.3%
8 48
 
4.9%
Other values (14) 330
33.4%
ValueCountFrequency (%)
0 24
 
2.4%
1 9
 
0.9%
2 14
 
1.4%
3 13
 
1.3%
4 13
 
1.3%
5 20
 
2.0%
6 24
 
2.4%
7 36
3.6%
8 48
4.9%
9 72
7.3%
ValueCountFrequency (%)
23 22
 
2.2%
22 31
 
3.1%
21 25
 
2.5%
20 24
 
2.4%
19 37
3.7%
18 38
3.8%
17 71
7.2%
16 71
7.2%
15 78
7.9%
14 77
7.8%

상황종료분
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.955466
Minimum0
Maximum59
Zeros19
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:48.585210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.35
Q114
median29
Q344
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.195757
Coefficient of variation (CV)0.59386913
Kurtosis-1.1905502
Mean28.955466
Median Absolute Deviation (MAD)15
Skewness-0.0030280591
Sum28608
Variance295.69406
MonotonicityNot monotonic
2024-03-14T19:47:49.025025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 33
 
3.3%
29 27
 
2.7%
3 26
 
2.6%
53 23
 
2.3%
16 22
 
2.2%
50 22
 
2.2%
30 21
 
2.1%
12 21
 
2.1%
4 21
 
2.1%
11 20
 
2.0%
Other values (50) 752
76.1%
ValueCountFrequency (%)
0 19
1.9%
1 16
1.6%
2 15
1.5%
3 26
2.6%
4 21
2.1%
5 13
1.3%
6 20
2.0%
7 10
 
1.0%
8 14
1.4%
9 15
1.5%
ValueCountFrequency (%)
59 12
1.2%
58 13
1.3%
57 13
1.3%
56 15
1.5%
55 15
1.5%
54 15
1.5%
53 23
2.3%
52 15
1.5%
51 12
1.2%
50 22
2.2%

관할서명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
남부소방서
454 
온산소방서
310 
북부소방서
200 
동부소방서
 
24

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북부소방서
2nd row남부소방서
3rd row온산소방서
4th row북부소방서
5th row남부소방서

Common Values

ValueCountFrequency (%)
남부소방서 454
46.0%
온산소방서 310
31.4%
북부소방서 200
20.2%
동부소방서 24
 
2.4%

Length

2024-03-14T19:47:49.440954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:49.752274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부소방서 454
46.0%
온산소방서 310
31.4%
북부소방서 200
20.2%
동부소방서 24
 
2.4%

관할센터명
Categorical

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
화산119안전센터
309 
장생포119안전센터
231 
공단119안전센터
205 
염포119안전센터
147 
송정119안전센터
53 
Other values (4)
43 

Length

Max length10
Median length9
Mean length9.2338057
Min length9

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row염포119안전센터
2nd row공단119안전센터
3rd row화산119안전센터
4th row염포119안전센터
5th row공단119안전센터

Common Values

ValueCountFrequency (%)
화산119안전센터 309
31.3%
장생포119안전센터 231
23.4%
공단119안전센터 205
20.7%
염포119안전센터 147
14.9%
송정119안전센터 53
 
5.4%
여천119안전센터 18
 
1.8%
화암119안전센터 14
 
1.4%
전하119안전센터 10
 
1.0%
웅촌119안전센터 1
 
0.1%

Length

2024-03-14T19:47:50.124731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:50.476341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화산119안전센터 309
31.3%
장생포119안전센터 231
23.4%
공단119안전센터 205
20.7%
염포119안전센터 147
14.9%
송정119안전센터 53
 
5.4%
여천119안전센터 18
 
1.8%
화암119안전센터 14
 
1.4%
전하119안전센터 10
 
1.0%
웅촌119안전센터 1
 
0.1%

도로명
Text

MISSING 

Distinct78
Distinct (%)8.4%
Missing57
Missing (%)5.8%
Memory size7.8 KiB
2024-03-14T19:47:51.431049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length4.0494092
Min length3

Characters and Unicode

Total characters3770
Distinct characters83
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.8%

Sample

1st row염포로
2nd row산업로
3rd row공단로
4th row활밤로
5th row처용로
ValueCountFrequency (%)
장생포로 46
 
4.9%
화산로 43
 
4.6%
처용로487번길 35
 
3.8%
매암로 35
 
3.8%
처용로 34
 
3.7%
이진로 33
 
3.5%
염포로 32
 
3.4%
효암로 28
 
3.0%
대정로 27
 
2.9%
사평로 26
 
2.8%
Other values (68) 592
63.6%
2024-03-14T19:47:52.811517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 805
21.4%
길 264
 
7.0%
산 198
 
5.3%
용 160
 
4.2%
번 138
 
3.7%
포 118
 
3.1%
4 98
 
2.6%
암 91
 
2.4%
생 84
 
2.2%
장 84
 
2.2%
Other values (73) 1730
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3301
87.6%
Decimal Number 469
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 805
24.4%
길 264
 
8.0%
산 198
 
6.0%
용 160
 
4.8%
번 138
 
4.2%
포 118
 
3.6%
암 91
 
2.8%
생 84
 
2.5%
장 84
 
2.5%
화 81
 
2.5%
Other values (63) 1278
38.7%
Decimal Number
ValueCountFrequency (%)
4 98
20.9%
1 79
16.8%
7 60
12.8%
3 59
12.6%
8 47
10.0%
2 36
 
7.7%
0 35
 
7.5%
9 20
 
4.3%
5 18
 
3.8%
6 17
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3301
87.6%
Common 469
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 805
24.4%
길 264
 
8.0%
산 198
 
6.0%
용 160
 
4.8%
번 138
 
4.2%
포 118
 
3.6%
암 91
 
2.8%
생 84
 
2.5%
장 84
 
2.5%
화 81
 
2.5%
Other values (63) 1278
38.7%
Common
ValueCountFrequency (%)
4 98
20.9%
1 79
16.8%
7 60
12.8%
3 59
12.6%
8 47
10.0%
2 36
 
7.7%
0 35
 
7.5%
9 20
 
4.3%
5 18
 
3.8%
6 17
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3301
87.6%
ASCII 469
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 805
24.4%
길 264
 
8.0%
산 198
 
6.0%
용 160
 
4.8%
번 138
 
4.2%
포 118
 
3.6%
암 91
 
2.8%
생 84
 
2.5%
장 84
 
2.5%
화 81
 
2.5%
Other values (63) 1278
38.7%
ASCII
ValueCountFrequency (%)
4 98
20.9%
1 79
16.8%
7 60
12.8%
3 59
12.6%
8 47
10.0%
2 36
 
7.7%
0 35
 
7.5%
9 20
 
4.3%
5 18
 
3.8%
6 17
 
3.6%

읍면동순번
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.8%
Missing56
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean1.5439914
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:53.158104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1148814
Coefficient of variation (CV)0.72207749
Kurtosis5.4504436
Mean1.5439914
Median Absolute Deviation (MAD)0
Skewness2.3897208
Sum1439
Variance1.2429606
MonotonicityNot monotonic
2024-03-14T19:47:53.498640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 683
69.1%
2 118
 
11.9%
3 61
 
6.2%
4 33
 
3.3%
6 18
 
1.8%
5 18
 
1.8%
7 1
 
0.1%
(Missing) 56
 
5.7%
ValueCountFrequency (%)
1 683
69.1%
2 118
 
11.9%
3 61
 
6.2%
4 33
 
3.3%
5 18
 
1.8%
6 18
 
1.8%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
6 18
 
1.8%
5 18
 
1.8%
4 33
 
3.3%
3 61
 
6.2%
2 118
 
11.9%
1 683
69.1%

지하 여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
0
988 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 988
100.0%

Length

2024-03-14T19:47:53.887013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:54.170228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 988
100.0%

화학사고여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
988 
ValueCountFrequency (%)
False 988
100.0%
2024-03-14T19:47:54.397026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

출동대센터정보
Text

Distinct226
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
2024-03-14T19:47:55.092667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length174
Median length9
Mean length24.117409
Min length5

Characters and Unicode

Total characters23828
Distinct characters71
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)15.1%

Sample

1st row염포119안전센터
2nd row공단119안전센터, 신정119안전센터, 여천119안전센터, 장생포119안전센터
3rd row온산119안전센터, 화산119안전센터
4th row송정119안전센터
5th row공단119안전센터
ValueCountFrequency (%)
화산119안전센터 319
12.9%
공단119안전센터 316
12.8%
여천119안전센터 216
 
8.8%
장생포119안전센터 207
 
8.4%
119재난대응과 197
 
8.0%
온산119안전센터 133
 
5.4%
염포119안전센터 119
 
4.8%
온산구조대 101
 
4.1%
남부구조대 100
 
4.1%
삼산119안전센터 91
 
3.7%
Other values (29) 668
27.1%
2024-03-14T19:47:56.254133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4184
17.6%
9 2092
 
8.8%
전 1829
 
7.7%
안 1812
 
7.6%
센 1798
 
7.5%
터 1798
 
7.5%
1479
 
6.2%
, 1479
 
6.2%
산 656
 
2.8%
대 643
 
2.7%
Other values (61) 6058
25.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14586
61.2%
Decimal Number 6276
26.3%
Space Separator 1479
 
6.2%
Other Punctuation 1479
 
6.2%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1829
12.5%
안 1812
 
12.4%
센 1798
 
12.3%
터 1798
 
12.3%
산 656
 
4.5%
대 643
 
4.4%
화 461
 
3.2%
구 364
 
2.5%
조 360
 
2.5%
포 326
 
2.2%
Other values (55) 4539
31.1%
Decimal Number
ValueCountFrequency (%)
1 4184
66.7%
9 2092
33.3%
Space Separator
ValueCountFrequency (%)
1479
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14586
61.2%
Common 9242
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1829
12.5%
안 1812
 
12.4%
센 1798
 
12.3%
터 1798
 
12.3%
산 656
 
4.5%
대 643
 
4.4%
화 461
 
3.2%
구 364
 
2.5%
조 360
 
2.5%
포 326
 
2.2%
Other values (55) 4539
31.1%
Common
ValueCountFrequency (%)
1 4184
45.3%
9 2092
22.6%
1479
 
16.0%
, 1479
 
16.0%
( 4
 
< 0.1%
) 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14586
61.2%
ASCII 9242
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4184
45.3%
9 2092
22.6%
1479
 
16.0%
, 1479
 
16.0%
( 4
 
< 0.1%
) 4
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 1829
12.5%
안 1812
 
12.4%
센 1798
 
12.3%
터 1798
 
12.3%
산 656
 
4.5%
대 643
 
4.4%
화 461
 
3.2%
구 364
 
2.5%
조 360
 
2.5%
포 326
 
2.2%
Other values (55) 4539
31.1%

온도
Real number (ℝ)

Distinct305
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.480162
Minimum-50
Maximum34.2
Zeros2
Zeros (%)0.2%
Negative24
Negative (%)2.4%
Memory size8.8 KiB
2024-03-14T19:47:56.665306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-50
5-th percentile2.7
Q111.7
median19.4
Q324
95-th percentile28.1
Maximum34.2
Range84.2
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation8.3264858
Coefficient of variation (CV)0.47633917
Kurtosis3.7569415
Mean17.480162
Median Absolute Deviation (MAD)5.5
Skewness-1.0740101
Sum17270.4
Variance69.330366
MonotonicityNot monotonic
2024-03-14T19:47:57.073340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.7 12
 
1.2%
25.2 11
 
1.1%
20.8 10
 
1.0%
18.1 10
 
1.0%
24.2 9
 
0.9%
19.8 9
 
0.9%
19.0 9
 
0.9%
21.9 9
 
0.9%
21.4 9
 
0.9%
20.9 9
 
0.9%
Other values (295) 891
90.2%
ValueCountFrequency (%)
-50.0 1
0.1%
-11.5 1
0.1%
-7.0 1
0.1%
-6.8 1
0.1%
-6.0 1
0.1%
-5.1 1
0.1%
-3.9 1
0.1%
-3.8 1
0.1%
-3.6 1
0.1%
-2.9 1
0.1%
ValueCountFrequency (%)
34.2 1
 
0.1%
33.0 1
 
0.1%
32.7 1
 
0.1%
32.0 3
0.3%
31.6 1
 
0.1%
31.5 1
 
0.1%
31.3 2
0.2%
31.2 1
 
0.1%
31.1 1
 
0.1%
30.8 2
0.2%

습도
Real number (ℝ)

Distinct87
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.603239
Minimum0
Maximum99
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:57.486076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q155
median75
Q387
95-th percentile97
Maximum99
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation21.356018
Coefficient of variation (CV)0.30682506
Kurtosis-0.39143781
Mean69.603239
Median Absolute Deviation (MAD)15
Skewness-0.70454316
Sum68768
Variance456.0795
MonotonicityNot monotonic
2024-03-14T19:47:57.939294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98 46
 
4.7%
93 45
 
4.6%
75 29
 
2.9%
76 27
 
2.7%
87 26
 
2.6%
83 25
 
2.5%
90 24
 
2.4%
77 24
 
2.4%
81 22
 
2.2%
69 19
 
1.9%
Other values (77) 701
71.0%
ValueCountFrequency (%)
0 1
 
0.1%
13 1
 
0.1%
14 2
 
0.2%
16 3
0.3%
17 1
 
0.1%
18 3
0.3%
19 4
0.4%
20 3
0.3%
21 7
0.7%
22 6
0.6%
ValueCountFrequency (%)
99 1
 
0.1%
98 46
4.7%
97 15
 
1.5%
96 7
 
0.7%
95 11
 
1.1%
94 15
 
1.5%
93 45
4.6%
92 18
 
1.8%
91 18
 
1.8%
90 24
2.4%

강수형태
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
없음
937 
비
 
51

Length

Max length2
Median length2
Mean length1.9483806
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 937
94.8%
비 51
 
5.2%

Length

2024-03-14T19:47:58.544800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:47:58.850905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 937
94.8%
비 51
 
5.2%

풍향
Categorical

Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size7.8 KiB
북북서
158 
북
135 
북북동
108 
북서
92 
남남서
66 
Other values (12)
429 

Length

Max length3
Median length3
Mean length2.2763158
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row북북서
2nd row북
3rd row북북서
4th row북서
5th row북북서

Common Values

ValueCountFrequency (%)
북북서 158
16.0%
북 135
13.7%
북북동 108
10.9%
북서 92
9.3%
남남서 66
 
6.7%
북동 63
 
6.4%
남 59
 
6.0%
서북서 46
 
4.7%
남서 44
 
4.5%
동북동 44
 
4.5%
Other values (7) 173
17.5%

Length

2024-03-14T19:47:59.226992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북북서 158
16.0%
북 135
13.7%
북북동 108
10.9%
북서 92
9.3%
남남서 66
 
6.7%
북동 63
 
6.4%
남 59
 
6.0%
서북서 46
 
4.7%
동북동 44
 
4.5%
남서 44
 
4.5%
Other values (7) 173
17.5%

풍속
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5040486
Minimum0
Maximum12
Zeros65
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2024-03-14T19:47:59.600582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6202192
Coefficient of variation (CV)0.64703984
Kurtosis2.474425
Mean2.5040486
Median Absolute Deviation (MAD)1
Skewness1.0969257
Sum2474
Variance2.6251102
MonotonicityNot monotonic
2024-03-14T19:47:59.978709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 278
28.1%
1 214
21.7%
3 212
21.5%
4 112
11.3%
0 65
 
6.6%
5 58
 
5.9%
6 32
 
3.2%
7 9
 
0.9%
8 3
 
0.3%
10 3
 
0.3%
Other values (2) 2
 
0.2%
ValueCountFrequency (%)
0 65
 
6.6%
1 214
21.7%
2 278
28.1%
3 212
21.5%
4 112
11.3%
5 58
 
5.9%
6 32
 
3.2%
7 9
 
0.9%
8 3
 
0.3%
9 1
 
0.1%
ValueCountFrequency (%)
12 1
 
0.1%
10 3
 
0.3%
9 1
 
0.1%
8 3
 
0.3%
7 9
 
0.9%
6 32
 
3.2%
5 58
 
5.9%
4 112
11.3%
3 212
21.5%
2 278
28.1%

Sample

접수경로명신고연도신고월신고일신고시신고분재난시명재난구명재난동명재난리명상황종료연도상황종료월상황종료일상황종료시상황종료분관할서명관할센터명도로명읍면동순번지하 여부화학사고여부출동대센터정보온도습도강수형태풍향풍속
0이동전화201914633울산광역시북구양정동양정동201914659북부소방서염포119안전센터염포로30N염포119안전센터8.114없음북북서2
1기타201914103울산광역시남구선암동선암동201914117남부소방서공단119안전센터산업로40N공단119안전센터, 신정119안전센터, 여천119안전센터, 장생포119안전센터4.722없음북2
2기타2019181736울산광역시울주군온산읍원산리201918195온산소방서화산119안전센터공단로10N온산119안전센터, 화산119안전센터-0.634없음북북서5
3이동전화2019191546울산광역시북구효문동효문동2019191619북부소방서염포119안전센터활밤로10N송정119안전센터0.249없음북서1
4일반전화20191111022울산광역시남구황성동황성동20191111039남부소방서공단119안전센터처용로60N공단119안전센터6.669없음북북서2
5이동전화20191111451울산광역시북구연암동연암동20191111521북부소방서송정119안전센터무룡1로10N송정119안전센터5.276없음북북동0
6이동전화20191131428울산광역시북구연암동연암동20191131552북부소방서송정119안전센터무룡1로10N병영119안전센터3.767없음북북서3
7이동전화20191151756울산광역시울주군온산읍원산리2019116228온산소방서화산119안전센터화산로10N공단119안전센터, 여천119안전센터, 온산119안전센터, 온산구조대, 온산예방안전과, 온양119안전센터, 화산119안전센터-0.840없음북북서2
8이동전화20191151757울산광역시울주군온산읍원산리2019115181온산소방서화산119안전센터화산로10N공단119안전센터, 남부구조대, 삼산119안전센터, 서생119지역대, 신정119안전센터, 여천119안전센터, 옥동119안전센터, 온산119안전센터, 온산예방안전과, 웅촌119안전센터, 유곡119안전센터, 장생포119안전센터, 화산119안전센터-0.840없음북북서2
9기타2019116932울산광역시남구선암동선암동20191161033남부소방서공단119안전센터사평로10N공단119안전센터0.319없음북1
접수경로명신고연도신고월신고일신고시신고분재난시명재난구명재난동명재난리명상황종료연도상황종료월상황종료일상황종료시상황종료분관할서명관할센터명도로명읍면동순번지하 여부화학사고여부출동대센터정보온도습도강수형태풍향풍속
978일반전화20211218943울산광역시울주군온산읍원산리202112181011온산소방서화산119안전센터화산로10N온산119안전센터, 화산119안전센터0.231없음남서4
979일반전화20211220740울산광역시남구여천동여천동20211220857남부소방서장생포119안전센터산업로440번길10N공단119안전센터, 여천119안전센터, 장생포119안전센터12.142없음남서3
980이동전화202112211339울산광역시북구효문동효문동20211222913북부소방서염포119안전센터효천1길10N119재난대응과, 남부구조대, 매곡119안전센터, 병영119안전센터, 삼산119안전센터, 성남119안전센터, 송정119안전센터, 염포119안전센터, 유곡119안전센터, 항공구조구급대, 화암119안전센터9.348없음북서4
981일반전화20211227832울산광역시남구여천동여천동20211227927남부소방서장생포119안전센터여천로10N119재난대응과, 공단119안전센터, 남부구조대, 무거119안전센터, 병영119안전센터, 삼산119안전센터, 여천119안전센터, 장생포119안전센터, 특수화학구조대2.742없음북서1
982이동전화20211229622울산광역시울주군온산읍당월리20211229730온산소방서화산119안전센터원산로10N화산119안전센터10.629없음서4
983이동전화20211229205울산광역시남구여천동여천동202112292118남부소방서장생포119안전센터여천로217번길10N삼산119안전센터, 장생포119안전센터2.542없음북서3
984일반전화202112301317울산광역시남구매암동매암동202112301340남부소방서장생포119안전센터장생포로376번길10N공단119안전센터, 여천119안전센터, 장생포119안전센터1.241없음북서4
985일반전화202112301557울산광역시울주군온산읍원산리202112301651온산소방서화산119안전센터대정로10N온산119안전센터, 화산119안전센터0.038없음서북서5
986일반전화202112301723울산광역시북구연암동연암동202112301754북부소방서송정119안전센터효자로20N병영119안전센터, 송정119안전센터-2.329없음북서4
987일반전화202112311428울산광역시북구효문동효문동202112311446북부소방서염포119안전센터산성로10N병영119안전센터, 염포119안전센터-3.929없음북북서3