Overview

Dataset statistics

Number of variables15
Number of observations132
Missing cells7
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory123.0 B

Variable types

Numeric2
Categorical8
DateTime4
Text1

Dataset

Description울산소방본부에서 제공하는 차량화재종별 신고 정보로서 접수경로명, 접수일시, 상황종료일시, 관할서명, 서센터명, 긴급구조 종별, 분류, 규모명 등의 정보를 제공하는 데이터임
Author소방청
URLhttps://www.data.go.kr/data/15080957/fileData.do

Alerts

긴급구조시도명 has constant value ""Constant
긴급구조종별명 has constant value ""Constant
긴급구조분류명 has constant value ""Constant
긴급구조규모명 has constant value ""Constant
관할서명 is highly overall correlated with 긴급구조우편번호 and 2 other fieldsHigh correlation
서센터명 is highly overall correlated with 긴급구조우편번호 and 2 other fieldsHigh correlation
긴급구조구군명 is highly overall correlated with 긴급구조우편번호 and 2 other fieldsHigh correlation
긴급구조우편번호 is highly overall correlated with 긴급구조구군명 and 2 other fieldsHigh correlation
상황종료일시 has 3 (2.3%) missing valuesMissing
상황종료일시(상세) has 3 (2.3%) missing valuesMissing
일련번호 has unique valuesUnique
접수일시(상세) has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:02:33.360894
Analysis finished2023-12-12 14:02:34.585285
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2642.6742
Minimum2376
Maximum2742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T23:02:34.657297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2376
5-th percentile2382.55
Q12643.75
median2676.5
Q32709.25
95-th percentile2735.45
Maximum2742
Range366
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation110.32364
Coefficient of variation (CV)0.041746969
Kurtosis1.5676508
Mean2642.6742
Median Absolute Deviation (MAD)33
Skewness-1.7356654
Sum348833
Variance12171.305
MonotonicityStrictly increasing
2023-12-12T23:02:34.783687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2376 1
 
0.8%
2695 1
 
0.8%
2709 1
 
0.8%
2708 1
 
0.8%
2707 1
 
0.8%
2706 1
 
0.8%
2705 1
 
0.8%
2704 1
 
0.8%
2703 1
 
0.8%
2702 1
 
0.8%
Other values (122) 122
92.4%
ValueCountFrequency (%)
2376 1
0.8%
2377 1
0.8%
2378 1
0.8%
2379 1
0.8%
2380 1
0.8%
2381 1
0.8%
2382 1
0.8%
2383 1
0.8%
2384 1
0.8%
2385 1
0.8%
ValueCountFrequency (%)
2742 1
0.8%
2741 1
0.8%
2740 1
0.8%
2739 1
0.8%
2738 1
0.8%
2737 1
0.8%
2736 1
0.8%
2735 1
0.8%
2734 1
0.8%
2733 1
0.8%

접수경로명
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
이동전화
100 
기타
25 
일반전화
 
6
IP전화
 
1

Length

Max length4
Median length4
Mean length3.6212121
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
이동전화 100
75.8%
기타 25
 
18.9%
일반전화 6
 
4.5%
IP전화 1
 
0.8%

Length

2023-12-12T23:02:34.917342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:35.016138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이동전화 100
75.8%
기타 25
 
18.9%
일반전화 6
 
4.5%
ip전화 1
 
0.8%

접수일시
Date

Distinct110
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2021-01-02 00:00:00
Maximum2021-12-28 00:00:00
2023-12-12T23:02:35.114134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:35.264061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수일시(상세)
Date

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-12-12 00:05:54
Maximum2023-12-12 23:56:16
2023-12-12T23:02:35.425703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:35.575590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

긴급구조우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct77
Distinct (%)58.8%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean34893.542
Minimum34467
Maximum35218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T23:02:35.712212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34467
5-th percentile34491
Q134775.5
median34923
Q335056.5
95-th percentile35184
Maximum35218
Range751
Interquartile range (IQR)281

Descriptive statistics

Standard deviation213.58447
Coefficient of variation (CV)0.0061210316
Kurtosis-0.73662221
Mean34893.542
Median Absolute Deviation (MAD)138
Skewness-0.6000167
Sum4571054
Variance45618.327
MonotonicityNot monotonic
2023-12-12T23:02:35.861681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35052 7
 
5.3%
35068 5
 
3.8%
34491 5
 
3.8%
34560 4
 
3.0%
34523 4
 
3.0%
35079 4
 
3.0%
34467 3
 
2.3%
35184 3
 
2.3%
34875 3
 
2.3%
34957 3
 
2.3%
Other values (67) 90
68.2%
ValueCountFrequency (%)
34467 3
2.3%
34491 5
3.8%
34522 1
 
0.8%
34523 4
3.0%
34553 1
 
0.8%
34554 3
2.3%
34559 2
 
1.5%
34560 4
3.0%
34645 2
 
1.5%
34687 2
 
1.5%
ValueCountFrequency (%)
35218 2
1.5%
35207 2
1.5%
35204 2
1.5%
35184 3
2.3%
35178 2
1.5%
35113 2
1.5%
35097 2
1.5%
35094 1
 
0.8%
35092 1
 
0.8%
35089 1
 
0.8%

긴급구조시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
울산
132 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산 132
100.0%

Length

2023-12-12T23:02:36.010089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:36.111299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산 132
100.0%

긴급구조구군명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
울주군
59 
남구
30 
북구
24 
중구
15 
동구
 
4

Length

Max length3
Median length2
Mean length2.4469697
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울주군 59
44.7%
남구 30
22.7%
북구 24
18.2%
중구 15
 
11.4%
동구 4
 
3.0%

Length

2023-12-12T23:02:36.530421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:36.665876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 59
44.7%
남구 30
22.7%
북구 24
18.2%
중구 15
 
11.4%
동구 4
 
3.0%

긴급구조동명
Text

Distinct51
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T23:02:36.879984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9545455
Min length2

Characters and Unicode

Total characters390
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)13.6%

Sample

1st row달동
2nd row웅촌면
3rd row태화동
4th row온양읍
5th row성암동
ValueCountFrequency (%)
온양읍 13
 
9.8%
청량읍 9
 
6.8%
범서읍 7
 
5.3%
웅촌면 6
 
4.5%
온산읍 6
 
4.5%
무거동 5
 
3.8%
신정동 4
 
3.0%
삼산동 4
 
3.0%
삼남읍 4
 
3.0%
서생면 4
 
3.0%
Other values (41) 70
53.0%
2023-12-12T23:02:37.228249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 75
19.2%
읍 42
 
10.8%
온 19
 
4.9%
양 18
 
4.6%
면 17
 
4.4%
서 17
 
4.4%
산 13
 
3.3%
삼 10
 
2.6%
청 9
 
2.3%
량 9
 
2.3%
Other values (52) 161
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 75
19.2%
읍 42
 
10.8%
온 19
 
4.9%
양 18
 
4.6%
면 17
 
4.4%
서 17
 
4.4%
산 13
 
3.3%
삼 10
 
2.6%
청 9
 
2.3%
량 9
 
2.3%
Other values (52) 161
41.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 75
19.2%
읍 42
 
10.8%
온 19
 
4.9%
양 18
 
4.6%
면 17
 
4.4%
서 17
 
4.4%
산 13
 
3.3%
삼 10
 
2.6%
청 9
 
2.3%
량 9
 
2.3%
Other values (52) 161
41.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 75
19.2%
읍 42
 
10.8%
온 19
 
4.9%
양 18
 
4.6%
면 17
 
4.4%
서 17
 
4.4%
산 13
 
3.3%
삼 10
 
2.6%
청 9
 
2.3%
량 9
 
2.3%
Other values (52) 161
41.3%

긴급구조종별명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
화재
132 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화재 132
100.0%

Length

2023-12-12T23:02:37.367017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:37.460927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화재 132
100.0%

긴급구조분류명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반화재(차량)
132 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반화재(차량)
2nd row일반화재(차량)
3rd row일반화재(차량)
4th row일반화재(차량)
5th row일반화재(차량)

Common Values

ValueCountFrequency (%)
일반화재(차량) 132
100.0%

Length

2023-12-12T23:02:37.553789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:37.661949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화재(차량 132
100.0%

긴급구조규모명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1차출동
132 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1차출동
2nd row1차출동
3rd row1차출동
4th row1차출동
5th row1차출동

Common Values

ValueCountFrequency (%)
1차출동 132
100.0%

Length

2023-12-12T23:02:37.779840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:37.930022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차출동 132
100.0%

상황종료일시
Date

MISSING 

Distinct109
Distinct (%)84.5%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
Minimum2021-01-02 00:00:00
Maximum2021-12-28 00:00:00
2023-12-12T23:02:38.036156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:38.207093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상황종료일시(상세)
Date

MISSING 

Distinct129
Distinct (%)100.0%
Missing3
Missing (%)2.3%
Memory size1.2 KiB
Minimum2023-12-12 00:10:15
Maximum2023-12-12 23:59:23
2023-12-12T23:02:38.386841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:38.559779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관할서명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
온산소방서
39 
남부소방서
30 
중부소방서
29 
북부소방서
23 
울주소방서
7 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온산소방서 39
29.5%
남부소방서 30
22.7%
중부소방서 29
22.0%
북부소방서 23
17.4%
울주소방서 7
 
5.3%
동부소방서 4
 
3.0%

Length

2023-12-12T23:02:38.696293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:02:38.827077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온산소방서 39
29.5%
남부소방서 30
22.7%
중부소방서 29
22.0%
북부소방서 23
17.4%
울주소방서 7
 
5.3%
동부소방서 4
 
3.0%

서센터명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
온양119안전센터
16 
온산119안전센터
13 
언양119안전센터
13 
삼산119안전센터
8 
송정119안전센터
8 
Other values (20)
74 

Length

Max length10
Median length9
Mean length9.0075758
Min length9

Unique

Unique2 ?
Unique (%)1.5%

Sample

1st row삼산119안전센터
2nd row웅촌119안전센터
3rd row태화119안전센터
4th row온양119안전센터
5th row공단119안전센터

Common Values

ValueCountFrequency (%)
온양119안전센터 16
 
12.1%
온산119안전센터 13
 
9.8%
언양119안전센터 13
 
9.8%
삼산119안전센터 8
 
6.1%
송정119안전센터 8
 
6.1%
공단119안전센터 8
 
6.1%
매곡119안전센터 6
 
4.5%
웅촌119안전센터 6
 
4.5%
무거119안전센터 5
 
3.8%
유곡119안전센터 5
 
3.8%
Other values (15) 44
33.3%

Length

2023-12-12T23:02:38.966809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온양119안전센터 16
 
12.1%
언양119안전센터 13
 
9.8%
온산119안전센터 13
 
9.8%
삼산119안전센터 8
 
6.1%
송정119안전센터 8
 
6.1%
공단119안전센터 8
 
6.1%
매곡119안전센터 6
 
4.5%
웅촌119안전센터 6
 
4.5%
무거119안전센터 5
 
3.8%
유곡119안전센터 5
 
3.8%
Other values (15) 44
33.3%

Interactions

2023-12-12T23:02:33.944557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:33.776785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:34.035263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:02:33.858158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:02:39.062832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호접수경로명긴급구조우편번호긴급구조구군명긴급구조동명관할서명서센터명
일련번호1.0000.0340.0000.0000.2360.2340.326
접수경로명0.0341.0000.2030.0000.1570.1660.000
긴급구조우편번호0.0000.2031.0000.9891.0000.8850.955
긴급구조구군명0.0000.0000.9891.0001.0000.9381.000
긴급구조동명0.2360.1571.0001.0001.0000.9780.994
관할서명0.2340.1660.8850.9380.9781.0000.982
서센터명0.3260.0000.9551.0000.9940.9821.000
2023-12-12T23:02:39.211548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관할서명접수경로명서센터명긴급구조구군명
관할서명1.0000.1050.8380.909
접수경로명0.1051.0000.0000.000
서센터명0.8380.0001.0000.902
긴급구조구군명0.9090.0000.9021.000
2023-12-12T23:02:39.326434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호긴급구조우편번호접수경로명긴급구조구군명관할서명서센터명
일련번호1.000-0.1530.0330.0000.1530.114
긴급구조우편번호-0.1531.0000.1220.8360.7170.702
접수경로명0.0330.1221.0000.0000.1050.000
긴급구조구군명0.0000.8360.0001.0000.9090.902
관할서명0.1530.7170.1050.9091.0000.838
서센터명0.1140.7020.0000.9020.8381.000

Missing values

2023-12-12T23:02:34.170215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:02:34.369434image/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.
2023-12-12T23:02:34.534631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

일련번호접수경로명접수일시접수일시(상세)긴급구조우편번호긴급구조시도명긴급구조구군명긴급구조동명긴급구조종별명긴급구조분류명긴급구조규모명상황종료일시상황종료일시(상세)관할서명서센터명
02376이동전화2021-01-0203:17:1534467울산남구달동화재일반화재(차량)1차출동2021-01-0205:11:32남부소방서삼산119안전센터
12377이동전화2021-01-0516:42:0535068울산울주군웅촌면화재일반화재(차량)1차출동2021-01-0517:37:22온산소방서웅촌119안전센터
22378이동전화2021-01-0819:49:1635207울산중구태화동화재일반화재(차량)1차출동2021-01-0820:27:08중부소방서태화119안전센터
32379기타2021-01-0909:04:4335052울산울주군온양읍화재일반화재(차량)1차출동2021-01-0909:44:52온산소방서온양119안전센터
42380이동전화2021-01-1211:35:0434559울산남구성암동화재일반화재(차량)1차출동2021-01-1214:14:52남부소방서공단119안전센터
52381이동전화2021-01-1216:29:5634898울산북구효문동화재일반화재(차량)1차출동2021-01-1220:59:41북부소방서염포119안전센터
62382이동전화2021-01-1407:38:0935048울산울주군온양읍화재일반화재(차량)1차출동2021-01-1408:34:46온산소방서온양119안전센터
72383기타2021-01-1408:39:4635005울산울주군서생면화재일반화재(차량)1차출동2021-01-1408:58:25온산소방서온양119안전센터
82384이동전화2021-01-1621:47:4135002울산울주군서생면화재일반화재(차량)1차출동2021-01-1622:53:17온산소방서온양119안전센터
92385이동전화2021-01-2313:03:2134876울산북구창평동화재일반화재(차량)1차출동2021-01-2314:52:53북부소방서매곡119안전센터
일련번호접수경로명접수일시접수일시(상세)긴급구조우편번호긴급구조시도명긴급구조구군명긴급구조동명긴급구조종별명긴급구조분류명긴급구조규모명상황종료일시상황종료일시(상세)관할서명서센터명
1222733이동전화2021-12-1210:23:1935075울산울주군웅촌면화재일반화재(차량)1차출동2021-12-1213:39:07온산소방서웅촌119안전센터
1232734이동전화2021-12-1317:11:5835016울산울주군언양읍화재일반화재(차량)1차출동2021-12-1318:26:11울주소방서언양119안전센터
1242735일반전화2021-12-1414:08:2935045울산울주군온산읍화재일반화재(차량)1차출동2021-12-1414:46:29온산소방서온산119안전센터
1252736이동전화2021-12-1714:12:5734943울산울주군범서읍화재일반화재(차량)1차출동2021-12-1715:36:41울주소방서범서119안전센터
1262737기타2021-12-1716:56:3134560울산남구신정동화재일반화재(차량)1차출동2021-12-1717:23:19남부소방서옥동119안전센터
1272738이동전화2021-12-1913:04:1335068울산울주군웅촌면화재일반화재(차량)1차출동2021-12-1913:45:25온산소방서웅촌119안전센터
1282739기타2021-12-2113:51:0634560울산남구신정동화재일반화재(차량)1차출동2021-12-2113:53:43남부소방서신정119안전센터
1292740이동전화2021-12-2415:08:3634560울산남구신정동화재일반화재(차량)1차출동2021-12-2417:17:45남부소방서신정119안전센터
1302741이동전화2021-12-2716:01:3634560울산남구신정동화재일반화재(차량)1차출동2021-12-2716:51:02남부소방서신정119안전센터
1312742일반전화2021-12-2807:51:1135079울산울주군청량읍화재일반화재(차량)1차출동2021-12-2808:37:33온산소방서온산119안전센터