Overview

Dataset statistics

Number of variables13
Number of observations2472
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory251.2 KiB
Average record size in memory104.1 B

Variable types

Text4
Categorical5
DateTime4

Dataset

Description울산광역시 벌집제거활동에 대한 자료로 매년 여름철(7,8월)에 발생한 벌집제거 관련 구조활동에 대한 로우데이터 제공
Author소방청
URLhttps://www.data.go.kr/data/15072469/fileData.do

Alerts

발생장소_시 has constant value ""Constant
출동안전센터 is highly overall correlated with 출동소방서 and 1 other fieldsHigh correlation
출동소방서 is highly overall correlated with 출동안전센터 and 1 other fieldsHigh correlation
발생장소_구 is highly overall correlated with 출동소방서 and 1 other fieldsHigh correlation
구조보고서번호 has unique valuesUnique

Reproduction

Analysis started2023-12-16 16:07:15.152572
Analysis finished2023-12-16 16:07:18.975237
Duration3.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구조보고서번호
Text

UNIQUE 

Distinct2472
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-16T16:07:19.251035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters42024
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2472 ?
Unique (%)100.0%

Sample

1st row20213101201S00769
2nd row20213101201S00969
3rd row20213101201S00840
4th row20213101201S00851
5th row20213101201S00770
ValueCountFrequency (%)
20213101201s00769 1
 
< 0.1%
20213105302s00429 1
 
< 0.1%
20213105302s00439 1
 
< 0.1%
20213105302s00508 1
 
< 0.1%
20213105302s00367 1
 
< 0.1%
20213105302s00510 1
 
< 0.1%
20213105302s00532 1
 
< 0.1%
20213105302s00366 1
 
< 0.1%
20213105302s00379 1
 
< 0.1%
20213105302s00503 1
 
< 0.1%
Other values (2462) 2462
99.6%
2023-12-16T16:07:20.017684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13023
31.0%
1 8290
19.7%
2 7351
17.5%
3 5059
 
12.0%
S 2472
 
5.9%
4 1467
 
3.5%
5 1415
 
3.4%
9 1038
 
2.5%
7 683
 
1.6%
6 680
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39552
94.1%
Uppercase Letter 2472
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13023
32.9%
1 8290
21.0%
2 7351
18.6%
3 5059
 
12.8%
4 1467
 
3.7%
5 1415
 
3.6%
9 1038
 
2.6%
7 683
 
1.7%
6 680
 
1.7%
8 546
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 2472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39552
94.1%
Latin 2472
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13023
32.9%
1 8290
21.0%
2 7351
18.6%
3 5059
 
12.8%
4 1467
 
3.7%
5 1415
 
3.6%
9 1038
 
2.6%
7 683
 
1.7%
6 680
 
1.7%
8 546
 
1.4%
Latin
ValueCountFrequency (%)
S 2472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13023
31.0%
1 8290
19.7%
2 7351
17.5%
3 5059
 
12.0%
S 2472
 
5.9%
4 1467
 
3.5%
5 1415
 
3.4%
9 1038
 
2.5%
7 683
 
1.6%
6 680
 
1.6%

출동소방서
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
남부소방서
492 
북부소방서
434 
울주소방서
422 
중부소방서
401 
온산소방서
397 
Other values (4)
326 

Length

Max length9
Median length5
Mean length5.2686084
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부소방서 492
19.9%
북부소방서 434
17.6%
울주소방서 422
17.1%
중부소방서 401
16.2%
온산소방서 397
16.1%
동부소방서 160
 
6.5%
언양119안전센터 98
 
4.0%
온양119안전센터 39
 
1.6%
온산119안전센터 29
 
1.2%

Length

2023-12-16T16:07:20.397380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:07:20.746478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부소방서 492
19.9%
북부소방서 434
17.6%
울주소방서 422
17.1%
중부소방서 401
16.2%
온산소방서 397
16.1%
동부소방서 160
 
6.5%
언양119안전센터 98
 
4.0%
온양119안전센터 39
 
1.6%
온산119안전센터 29
 
1.2%

출동안전센터
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
언양119안전센터
 
166
범서119안전센터
 
154
유곡119안전센터
 
146
여천119안전센터
 
122
매곡119안전센터
 
120
Other values (33)
1764 

Length

Max length10
Median length9
Mean length8.6391586
Min length5

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
언양119안전센터 166
 
6.7%
범서119안전센터 154
 
6.2%
유곡119안전센터 146
 
5.9%
여천119안전센터 122
 
4.9%
매곡119안전센터 120
 
4.9%
웅촌119안전센터 117
 
4.7%
온양119안전센터 114
 
4.6%
무거119안전센터 101
 
4.1%
전하119안전센터 100
 
4.0%
온산119안전센터 99
 
4.0%
Other values (28) 1233
49.9%

Length

2023-12-16T16:07:21.146252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
언양119안전센터 166
 
6.7%
범서119안전센터 154
 
6.2%
유곡119안전센터 146
 
5.9%
여천119안전센터 122
 
4.9%
매곡119안전센터 120
 
4.9%
웅촌119안전센터 117
 
4.7%
온양119안전센터 114
 
4.6%
무거119안전센터 101
 
4.1%
전하119안전센터 100
 
4.0%
온산119안전센터 99
 
4.0%
Other values (28) 1233
49.9%

신고년월일
Date

Distinct62
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2021-07-01 00:00:00
Maximum2021-08-31 00:00:00
2023-12-16T16:07:21.368994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:07:21.718865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신고시각
Date

Distinct673
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2023-12-16 05:19:00
Maximum2023-12-16 23:56:00
2023-12-16T16:07:22.019668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:07:22.418867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출동년월일
Date

Distinct62
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2021-07-01 00:00:00
Maximum2021-08-31 00:00:00
2023-12-16T16:07:22.894547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:07:23.346727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출동시각
Date

Distinct661
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
Minimum2023-12-16 00:00:00
Maximum2023-12-16 19:54:00
2023-12-16T16:07:23.823406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T16:07:24.251105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생장소_시
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
울산광역시
2472 

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 2472
100.0%

Length

2023-12-16T16:07:24.646324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:07:24.799346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 2472
100.0%

발생장소_구
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
울주군
997 
남구
489 
북구
433 
중구
391 
동구
162 

Length

Max length3
Median length2
Mean length2.4033172
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울주군 997
40.3%
남구 489
19.8%
북구 433
17.5%
중구 391
 
15.8%
동구 162
 
6.6%

Length

2023-12-16T16:07:25.102609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:07:25.423216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 997
40.3%
남구 489
19.8%
북구 433
17.5%
중구 391
 
15.8%
동구 162
 
6.6%

발생장소_동
Text

Distinct84
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-16T16:07:26.012809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9668285
Min length2

Characters and Unicode

Total characters7334
Distinct characters87
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

Unique7 ?
Unique (%)0.3%

Sample

1st row유곡동
2nd row유곡동
3rd row유곡동
4th row성안동
5th row유곡동
ValueCountFrequency (%)
범서읍 152
 
6.1%
온양읍 139
 
5.6%
온산읍 127
 
5.1%
무거동 101
 
4.1%
언양읍 101
 
4.1%
웅촌면 96
 
3.9%
상북면 88
 
3.6%
신정동 81
 
3.3%
삼남면 80
 
3.2%
야음동 80
 
3.2%
Other values (74) 1427
57.7%
2023-12-16T16:07:26.722254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1585
21.6%
읍 576
 
7.9%
면 421
 
5.7%
서 292
 
4.0%
산 272
 
3.7%
온 266
 
3.6%
양 265
 
3.6%
정 185
 
2.5%
범 152
 
2.1%
삼 145
 
2.0%
Other values (77) 3175
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7334
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1585
21.6%
읍 576
 
7.9%
면 421
 
5.7%
서 292
 
4.0%
산 272
 
3.7%
온 266
 
3.6%
양 265
 
3.6%
정 185
 
2.5%
범 152
 
2.1%
삼 145
 
2.0%
Other values (77) 3175
43.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7334
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1585
21.6%
읍 576
 
7.9%
면 421
 
5.7%
서 292
 
4.0%
산 272
 
3.7%
온 266
 
3.6%
양 265
 
3.6%
정 185
 
2.5%
범 152
 
2.1%
삼 145
 
2.0%
Other values (77) 3175
43.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7334
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1585
21.6%
읍 576
 
7.9%
면 421
 
5.7%
서 292
 
4.0%
산 272
 
3.7%
온 266
 
3.6%
양 265
 
3.6%
정 185
 
2.5%
범 152
 
2.1%
삼 145
 
2.0%
Other values (77) 3175
43.3%

발생장소_리
Text

Distinct182
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
2023-12-16T16:07:27.318373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.9652104
Min length2

Characters and Unicode

Total characters7330
Distinct characters133
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

Unique21 ?
Unique (%)0.8%

Sample

1st row유곡동
2nd row유곡동
3rd row유곡동
4th row성안동
5th row유곡동
ValueCountFrequency (%)
덕신리 109
 
4.4%
무거동 101
 
4.1%
신정동 81
 
3.3%
야음동 80
 
3.2%
천상리 73
 
3.0%
성안동 72
 
2.9%
선암동 53
 
2.1%
옥동 51
 
2.1%
교동리 50
 
2.0%
유곡동 48
 
1.9%
Other values (172) 1754
71.0%
2023-12-16T16:07:28.091382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1593
21.7%
리 993
 
13.5%
천 269
 
3.7%
신 238
 
3.2%
정 201
 
2.7%
산 196
 
2.7%
화 183
 
2.5%
곡 152
 
2.1%
안 143
 
2.0%
덕 131
 
1.8%
Other values (123) 3231
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7330
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1593
21.7%
리 993
 
13.5%
천 269
 
3.7%
신 238
 
3.2%
정 201
 
2.7%
산 196
 
2.7%
화 183
 
2.5%
곡 152
 
2.1%
안 143
 
2.0%
덕 131
 
1.8%
Other values (123) 3231
44.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7330
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1593
21.7%
리 993
 
13.5%
천 269
 
3.7%
신 238
 
3.2%
정 201
 
2.7%
산 196
 
2.7%
화 183
 
2.5%
곡 152
 
2.1%
안 143
 
2.0%
덕 131
 
1.8%
Other values (123) 3231
44.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7330
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1593
21.7%
리 993
 
13.5%
천 269
 
3.7%
신 238
 
3.2%
정 201
 
2.7%
산 196
 
2.7%
화 183
 
2.5%
곡 152
 
2.1%
안 143
 
2.0%
덕 131
 
1.8%
Other values (123) 3231
44.1%

번지
Text

Distinct2054
Distinct (%)83.2%
Missing2
Missing (%)0.1%
Memory size19.4 KiB
2023-12-16T16:07:28.763986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.0153846
Min length1

Characters and Unicode

Total characters12388
Distinct characters37
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

Unique1738 ?
Unique (%)70.4%

Sample

1st row475-10
2nd row891-1
3rd row271-2
4th row243-4
5th row271-2
ValueCountFrequency (%)
1329-4 7
 
0.3%
1361-2 7
 
0.3%
794 7
 
0.3%
204 6
 
0.2%
02월 6
 
0.2%
03월 6
 
0.2%
600 5
 
0.2%
01월 5
 
0.2%
421 5
 
0.2%
1491-3 5
 
0.2%
Other values (2045) 2443
97.6%
2023-12-16T16:07:29.710795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2089
16.9%
- 1899
15.3%
2 1263
10.2%
4 1001
8.1%
3 986
8.0%
6 908
7.3%
5 902
7.3%
7 838
6.8%
8 760
 
6.1%
0 748
 
6.0%
Other values (27) 994
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10158
82.0%
Dash Punctuation 1899
 
15.3%
Other Letter 140
 
1.1%
Lowercase Letter 106
 
0.9%
Uppercase Letter 53
 
0.4%
Space Separator 32
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 27
25.5%
n 23
21.7%
u 11
10.4%
r 7
 
6.6%
e 6
 
5.7%
l 5
 
4.7%
c 4
 
3.8%
g 4
 
3.8%
o 4
 
3.8%
v 4
 
3.8%
Other values (4) 11
10.4%
Decimal Number
ValueCountFrequency (%)
1 2089
20.6%
2 1263
12.4%
4 1001
9.9%
3 986
9.7%
6 908
8.9%
5 902
8.9%
7 838
8.2%
8 760
 
7.5%
0 748
 
7.4%
9 663
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
J 28
52.8%
M 6
 
11.3%
A 6
 
11.3%
N 4
 
7.5%
F 4
 
7.5%
O 3
 
5.7%
D 1
 
1.9%
S 1
 
1.9%
Other Letter
ValueCountFrequency (%)
산 76
54.3%
월 32
22.9%
일 32
22.9%
Dash Punctuation
ValueCountFrequency (%)
- 1899
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12089
97.6%
Latin 159
 
1.3%
Hangul 140
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
J 28
17.6%
a 27
17.0%
n 23
14.5%
u 11
 
6.9%
r 7
 
4.4%
M 6
 
3.8%
e 6
 
3.8%
A 6
 
3.8%
l 5
 
3.1%
c 4
 
2.5%
Other values (12) 36
22.6%
Common
ValueCountFrequency (%)
1 2089
17.3%
- 1899
15.7%
2 1263
10.4%
4 1001
8.3%
3 986
8.2%
6 908
7.5%
5 902
7.5%
7 838
6.9%
8 760
 
6.3%
0 748
 
6.2%
Other values (2) 695
 
5.7%
Hangul
ValueCountFrequency (%)
산 76
54.3%
월 32
22.9%
일 32
22.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12248
98.9%
Hangul 140
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2089
17.1%
- 1899
15.5%
2 1263
10.3%
4 1001
8.2%
3 986
8.1%
6 908
7.4%
5 902
7.4%
7 838
6.8%
8 760
 
6.2%
0 748
 
6.1%
Other values (24) 854
7.0%
Hangul
ValueCountFrequency (%)
산 76
54.3%
월 32
22.9%
일 32
22.9%

벌종류
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.4 KiB
기타벌
1935 
파악불가
383 
등검은말벌
 
154

Length

Max length5
Median length3
Mean length3.2795307
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타벌 1935
78.3%
파악불가 383
 
15.5%
등검은말벌 154
 
6.2%

Length

2023-12-16T16:07:29.974803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T16:07:30.163707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타벌 1935
78.3%
파악불가 383
 
15.5%
등검은말벌 154
 
6.2%

Correlations

2023-12-16T16:07:30.327442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출동소방서출동안전센터신고년월일출동년월일발생장소_구발생장소_동벌종류
출동소방서1.0000.9990.2270.2270.9880.9910.367
출동안전센터0.9991.0000.3360.3360.9980.9940.473
신고년월일0.2270.3361.0001.0000.1660.2230.201
출동년월일0.2270.3361.0001.0000.1660.2200.198
발생장소_구0.9880.9980.1660.1661.0001.0000.196
발생장소_동0.9910.9940.2230.2201.0001.0000.419
벌종류0.3670.4730.2010.1980.1960.4191.000
2023-12-16T16:07:30.612603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
벌종류출동안전센터출동소방서발생장소_구
벌종류1.0000.2670.1740.150
출동안전센터0.2671.0000.9910.986
출동소방서0.1740.9911.0000.988
발생장소_구0.1500.9860.9881.000
2023-12-16T16:07:30.862427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출동소방서출동안전센터발생장소_구벌종류
출동소방서1.0000.9910.9880.174
출동안전센터0.9911.0000.9860.267
발생장소_구0.9880.9861.0000.150
벌종류0.1740.2670.1501.000

Missing values

2023-12-16T16:07:18.198319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T16:07:18.749278image/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

구조보고서번호출동소방서출동안전센터신고년월일신고시각출동년월일출동시각발생장소_시발생장소_구발생장소_동발생장소_리번지벌종류
020213101201S00769중부소방서중부구조대2021-07-1516:012021-07-1516:02울산광역시중구유곡동유곡동475-10기타벌
120213101201S00969중부소방서중부구조대2021-08-2310:252021-08-2310:26울산광역시중구유곡동유곡동891-1기타벌
220213101201S00840중부소방서중부구조대2021-07-2711:392021-07-2711:40울산광역시중구유곡동유곡동271-2기타벌
320213101201S00851중부소방서중부구조대2021-07-3011:122021-07-3011:14울산광역시중구성안동성안동243-4기타벌
420213101201S00770중부소방서중부구조대2021-07-1517:162021-07-1517:17울산광역시중구유곡동유곡동271-2기타벌
520213101201S00822중부소방서중부구조대2021-07-2414:432021-07-2414:45울산광역시중구약사동약사동321-2파악불가
620213101201S00832중부소방서중부구조대2021-07-2517:562021-07-2517:56울산광역시중구성안동성안동790-12기타벌
720213101201S00765중부소방서중부구조대2021-07-1413:062021-07-1413:07울산광역시중구복산동복산동183-5기타벌
820213101201S00798중부소방서중부구조대2021-07-2116:062021-07-2116:08울산광역시중구우정동우정동424-3기타벌
920213101201S00849중부소방서중부구조대2021-07-2915:032021-07-2915:04울산광역시중구유곡동유곡동206-5기타벌
구조보고서번호출동소방서출동안전센터신고년월일신고시각출동년월일출동시각발생장소_시발생장소_구발생장소_동발생장소_리번지벌종류
246220213109402S00069언양119안전센터상북119지역대2021-08-0110:542021-08-0110:56울산광역시울주군상북면소호리729-4등검은말벌
246320213109402S00083언양119안전센터상북119지역대2021-08-0412:402021-08-0412:41울산광역시울주군상북면이천리144-37기타벌
246420213109402S00093언양119안전센터상북119지역대2021-08-0708:402021-08-0708:41울산광역시울주군상북면덕현리1001-1기타벌
246520213109402S00096언양119안전센터상북119지역대2021-08-0716:582021-08-0717:00울산광역시울주군상북면덕현리63기타벌
246620213109402S00102언양119안전센터상북119지역대2021-08-1012:442021-08-1012:45울산광역시울주군상북면이천리164기타벌
246720213109402S00118언양119안전센터상북119지역대2021-08-1610:052021-08-1610:06울산광역시울주군상북면양등리487기타벌
246820213109402S00147언양119안전센터상북119지역대2021-08-2414:442021-08-2414:46울산광역시울주군상북면궁근정리384기타벌
246920213109402S00120언양119안전센터상북119지역대2021-08-1610:532021-08-1614:00울산광역시울주군상북면소호리137-60기타벌
247020213109402S00128언양119안전센터상북119지역대2021-08-2009:432021-08-2009:44울산광역시울주군상북면천전리270-11기타벌
247120213109402S00130언양119안전센터상북119지역대2021-08-2015:172021-08-2015:19울산광역시울주군상북면궁근정리921-32기타벌