Overview

Dataset statistics

Number of variables10
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory83.6 B

Variable types

Numeric2
Categorical5
Text2
DateTime1

Dataset

Description광주광역시 북부소방서 관내 1급소방안전관리 특정소방대상물 현황에 대한 데이터로 광주광역시 북부소방서에서 관리 중인 대상물의 대상명, 위치, 연면적현황을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15055243/fileData.do

Alerts

대상물구분 has constant value ""Constant
관할서 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연면적(제곱미터) is highly overall correlated with 대상물상세구분High correlation
대상물상세구분 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
주용도 is highly overall correlated with 대상물상세구분High correlation
연번 has unique valuesUnique
대상물명 has unique valuesUnique
연면적(제곱미터) has 10 (12.3%) zerosZeros

Reproduction

Analysis started2024-03-30 09:26:34.822102
Analysis finished2024-03-30 09:26:37.905291
Duration3.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-03-30T09:26:38.175423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2024-03-30T09:26:38.681728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

대상물구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
1급대상
81 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1급대상
2nd row1급대상
3rd row1급대상
4th row1급대상
5th row1급대상

Common Values

ValueCountFrequency (%)
1급대상 81
100.0%

Length

2024-03-30T09:26:39.125761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:26:39.405117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1급대상 81
100.0%

대상물상세구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
연면적 15,000 이상
46 
11층이상
30 
30층이상 아파트(지하제외)
5 

Length

Max length15
Median length13
Mean length10.160494
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연면적 15,000 이상
2nd row연면적 15,000 이상
3rd row연면적 15,000 이상
4th row연면적 15,000 이상
5th row30층이상 아파트(지하제외)

Common Values

ValueCountFrequency (%)
연면적 15,000 이상 46
56.8%
11층이상 30
37.0%
30층이상 아파트(지하제외) 5
 
6.2%

Length

2024-03-30T09:26:39.700547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:26:40.139726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연면적 46
25.8%
15,000 46
25.8%
이상 46
25.8%
11층이상 30
16.9%
30층이상 5
 
2.8%
아파트(지하제외 5
 
2.8%

관할서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
북부소방서
81 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부소방서 81
100.0%

Length

2024-03-30T09:26:40.502877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:26:40.787966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부소방서 81
100.0%

관할센터
Categorical

Distinct6
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size780.0 B
임동119안전센터
33 
건국119안전센터
12 
문흥119안전센터
12 
동림119안전센터
10 
우산119안전센터
9 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동림119안전센터
2nd row동림119안전센터
3rd row동림119안전센터
4th row동림119안전센터
5th row우산119안전센터

Common Values

ValueCountFrequency (%)
임동119안전센터 33
40.7%
건국119안전센터 12
 
14.8%
문흥119안전센터 12
 
14.8%
동림119안전센터 10
 
12.3%
우산119안전센터 9
 
11.1%
일곡119안전센터 5
 
6.2%

Length

2024-03-30T09:26:41.189967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:26:41.540121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임동119안전센터 33
40.7%
건국119안전센터 12
 
14.8%
문흥119안전센터 12
 
14.8%
동림119안전센터 10
 
12.3%
우산119안전센터 9
 
11.1%
일곡119안전센터 5
 
6.2%

대상물명
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-03-30T09:26:42.091518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length11.592593
Min length5

Characters and Unicode

Total characters939
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row(주)디에이치글로벌 첨단공장
2nd row(주)디에이치글로벌 첨단공장2
3rd row(주)지엘에스
4th row(주)지오메디칼
5th row1차휴먼파크서희스타힐스
ValueCountFrequency (%)
신안동 5
 
4.1%
오피스텔 4
 
3.3%
지식산업센터 3
 
2.4%
대라수 3
 
2.4%
서희스타힐스 2
 
1.6%
현대힐스테이트 2
 
1.6%
광주공장 2
 
1.6%
주)디에이치글로벌 2
 
1.6%
2차센트럴파크 2
 
1.6%
1차휴먼파크서희스타힐스 2
 
1.6%
Other values (96) 96
78.0%
2024-03-30T09:26:43.091125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
4.6%
( 35
 
3.7%
) 35
 
3.7%
주 28
 
3.0%
스 27
 
2.9%
광 22
 
2.3%
아 16
 
1.7%
지 15
 
1.6%
이 13
 
1.4%
1 13
 
1.4%
Other values (213) 692
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
82.6%
Space Separator 43
 
4.6%
Open Punctuation 35
 
3.7%
Close Punctuation 35
 
3.7%
Decimal Number 25
 
2.7%
Uppercase Letter 14
 
1.5%
Other Punctuation 8
 
0.9%
Other Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
3.6%
스 27
 
3.5%
광 22
 
2.8%
아 16
 
2.1%
지 15
 
1.9%
이 13
 
1.7%
동 13
 
1.7%
트 13
 
1.7%
파 13
 
1.7%
대 12
 
1.5%
Other values (190) 604
77.8%
Uppercase Letter
ValueCountFrequency (%)
G 2
14.3%
T 2
14.3%
K 2
14.3%
A 2
14.3%
C 2
14.3%
H 1
7.1%
V 1
7.1%
M 1
7.1%
N 1
7.1%
Decimal Number
ValueCountFrequency (%)
1 13
52.0%
2 7
28.0%
3 3
 
12.0%
4 1
 
4.0%
0 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
, 2
25.0%
/ 1
 
12.5%
& 1
 
12.5%
Space Separator
ValueCountFrequency (%)
43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 778
82.9%
Common 147
 
15.7%
Latin 14
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
3.6%
스 27
 
3.5%
광 22
 
2.8%
아 16
 
2.1%
지 15
 
1.9%
이 13
 
1.7%
동 13
 
1.7%
트 13
 
1.7%
파 13
 
1.7%
대 12
 
1.5%
Other values (191) 606
77.9%
Common
ValueCountFrequency (%)
43
29.3%
( 35
23.8%
) 35
23.8%
1 13
 
8.8%
2 7
 
4.8%
. 4
 
2.7%
3 3
 
2.0%
, 2
 
1.4%
4 1
 
0.7%
0 1
 
0.7%
Other values (3) 3
 
2.0%
Latin
ValueCountFrequency (%)
G 2
14.3%
T 2
14.3%
K 2
14.3%
A 2
14.3%
C 2
14.3%
H 1
7.1%
V 1
7.1%
M 1
7.1%
N 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
82.6%
ASCII 161
 
17.1%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
26.7%
( 35
21.7%
) 35
21.7%
1 13
 
8.1%
2 7
 
4.3%
. 4
 
2.5%
3 3
 
1.9%
G 2
 
1.2%
T 2
 
1.2%
K 2
 
1.2%
Other values (12) 15
 
9.3%
Hangul
ValueCountFrequency (%)
주 28
 
3.6%
스 27
 
3.5%
광 22
 
2.8%
아 16
 
2.1%
지 15
 
1.9%
이 13
 
1.7%
동 13
 
1.7%
트 13
 
1.7%
파 13
 
1.7%
대 12
 
1.5%
Other values (190) 604
77.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주용도
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
복합건축물
33 
업무시설
12 
공장
10 
공동주택
10 
문화및집회시설
5 
Other values (7)
11 

Length

Max length7
Median length6
Mean length4.4197531
Min length2

Unique

Unique4 ?
Unique (%)4.9%

Sample

1st row공장
2nd row공장
3rd row창고시설
4th row공장
5th row공동주택

Common Values

ValueCountFrequency (%)
복합건축물 33
40.7%
업무시설 12
 
14.8%
공장 10
 
12.3%
공동주택 10
 
12.3%
문화및집회시설 5
 
6.2%
의료시설 3
 
3.7%
판매시설 2
 
2.5%
교육연구시설 2
 
2.5%
창고시설 1
 
1.2%
방송통신시설 1
 
1.2%
Other values (2) 2
 
2.5%

Length

2024-03-30T09:26:43.588243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
복합건축물 33
40.7%
업무시설 12
 
14.8%
공장 10
 
12.3%
공동주택 10
 
12.3%
문화및집회시설 5
 
6.2%
의료시설 3
 
3.7%
판매시설 2
 
2.5%
교육연구시설 2
 
2.5%
창고시설 1
 
1.2%
방송통신시설 1
 
1.2%
Other values (2) 2
 
2.5%

소재지지번주소
Text

Distinct77
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-03-30T09:26:44.193950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length18.925926
Min length15

Characters and Unicode

Total characters1533
Distinct characters65
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)90.1%

Sample

1st row광주광역시 북구 연제동 1033-2
2nd row광주광역시 북구 연제동 1033
3rd row광주광역시 북구 연제동 1027
4th row광주광역시 북구 연제동 1068
5th row광주광역시 북구 각화동 591
ValueCountFrequency (%)
광주광역시 81
23.9%
북구 81
23.9%
신안동 13
 
3.8%
연제동 7
 
2.1%
운암동 6
 
1.8%
오룡동 6
 
1.8%
각화동 6
 
1.8%
임동 6
 
1.8%
중흥동 5
 
1.5%
용봉동 5
 
1.5%
Other values (102) 123
36.3%
2024-03-30T09:26:45.302136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
21.5%
광 162
 
10.6%
북 83
 
5.4%
동 82
 
5.3%
역 81
 
5.3%
시 81
 
5.3%
구 81
 
5.3%
주 81
 
5.3%
1 76
 
5.0%
- 51
 
3.3%
Other values (55) 426
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 827
53.9%
Space Separator 329
 
21.5%
Decimal Number 325
 
21.2%
Dash Punctuation 51
 
3.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 162
19.6%
북 83
10.0%
동 82
9.9%
역 81
9.8%
시 81
9.8%
구 81
9.8%
주 81
9.8%
신 15
 
1.8%
안 13
 
1.6%
오 10
 
1.2%
Other values (42) 138
16.7%
Decimal Number
ValueCountFrequency (%)
1 76
23.4%
6 34
10.5%
2 33
10.2%
3 31
9.5%
0 29
 
8.9%
4 29
 
8.9%
9 28
 
8.6%
8 26
 
8.0%
5 25
 
7.7%
7 14
 
4.3%
Space Separator
ValueCountFrequency (%)
329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 827
53.9%
Common 706
46.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 162
19.6%
북 83
10.0%
동 82
9.9%
역 81
9.8%
시 81
9.8%
구 81
9.8%
주 81
9.8%
신 15
 
1.8%
안 13
 
1.6%
오 10
 
1.2%
Other values (42) 138
16.7%
Common
ValueCountFrequency (%)
329
46.6%
1 76
 
10.8%
- 51
 
7.2%
6 34
 
4.8%
2 33
 
4.7%
3 31
 
4.4%
0 29
 
4.1%
4 29
 
4.1%
9 28
 
4.0%
8 26
 
3.7%
Other values (3) 40
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
53.9%
ASCII 706
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
46.6%
1 76
 
10.8%
- 51
 
7.2%
6 34
 
4.8%
2 33
 
4.7%
3 31
 
4.4%
0 29
 
4.1%
4 29
 
4.1%
9 28
 
4.0%
8 26
 
3.7%
Other values (3) 40
 
5.7%
Hangul
ValueCountFrequency (%)
광 162
19.6%
북 83
10.0%
동 82
9.9%
역 81
9.8%
시 81
9.8%
구 81
9.8%
주 81
9.8%
신 15
 
1.8%
안 13
 
1.6%
오 10
 
1.2%
Other values (42) 138
16.7%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct72
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35171.861
Minimum0
Maximum364353.84
Zeros10
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-03-30T09:26:45.723394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16916.23
median18205.64
Q340089.95
95-th percentile128373.58
Maximum364353.84
Range364353.84
Interquartile range (IQR)33173.72

Descriptive statistics

Standard deviation52351.754
Coefficient of variation (CV)1.4884556
Kurtosis19.715624
Mean35171.861
Median Absolute Deviation (MAD)13292.37
Skewness3.8229364
Sum2848920.8
Variance2.7407061 × 109
MonotonicityNot monotonic
2024-03-30T09:26:46.232683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
12.3%
21468.61 1
 
1.2%
81785.27 1
 
1.2%
20983.0 1
 
1.2%
6778.28 1
 
1.2%
9528.59 1
 
1.2%
44521.6 1
 
1.2%
100931.0 1
 
1.2%
19849.57 1
 
1.2%
37994.0 1
 
1.2%
Other values (62) 62
76.5%
ValueCountFrequency (%)
0.0 10
12.3%
667.17 1
 
1.2%
3835.0 1
 
1.2%
3884.07 1
 
1.2%
4913.27 1
 
1.2%
5264.37 1
 
1.2%
5313.2 1
 
1.2%
5603.12 1
 
1.2%
6094.53 1
 
1.2%
6292.11 1
 
1.2%
ValueCountFrequency (%)
364353.84 1
1.2%
182559.58 1
1.2%
159246.86 1
1.2%
137412.23 1
1.2%
128373.58 1
1.2%
104895.0 1
1.2%
100931.0 1
1.2%
88873.69 1
1.2%
81785.27 1
1.2%
78379.43 1
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2024-03-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-30T09:26:46.582728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T09:26:46.900254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-30T09:26:36.481642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T09:26:35.882714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T09:26:36.760843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T09:26:36.190779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T09:26:47.165360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대상물상세구분관할센터대상물명주용도소재지지번주소연면적(제곱미터)
연번1.0000.0000.4521.0000.3200.9880.306
대상물상세구분0.0001.0000.7441.0000.8150.0000.712
관할센터0.4520.7441.0001.0000.4601.0000.380
대상물명1.0001.0001.0001.0001.0001.0001.000
주용도0.3200.8150.4601.0001.0000.9720.379
소재지지번주소0.9880.0001.0001.0000.9721.0000.000
연면적(제곱미터)0.3060.7120.3801.0000.3790.0001.000
2024-03-30T09:26:47.471603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도대상물상세구분관할센터
주용도1.0000.5070.185
대상물상세구분0.5071.0000.413
관할센터0.1850.4131.000
2024-03-30T09:26:47.761739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연면적(제곱미터)대상물상세구분관할센터주용도
연번1.0000.0070.0000.2250.123
연면적(제곱미터)0.0071.0000.6130.2340.183
대상물상세구분0.0000.6131.0000.4130.507
관할센터0.2250.2340.4131.0000.185
주용도0.1230.1830.5070.1851.000

Missing values

2024-03-30T09:26:37.134664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T09:26:37.689868image/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

연번대상물구분대상물상세구분관할서관할센터대상물명주용도소재지지번주소연면적(제곱미터)데이터기준일자
011급대상연면적 15,000 이상북부소방서동림119안전센터(주)디에이치글로벌 첨단공장공장광주광역시 북구 연제동 1033-221468.612024-03-14
121급대상연면적 15,000 이상북부소방서동림119안전센터(주)디에이치글로벌 첨단공장2공장광주광역시 북구 연제동 103315686.792024-03-14
231급대상연면적 15,000 이상북부소방서동림119안전센터(주)지엘에스창고시설광주광역시 북구 연제동 102717420.522024-03-14
341급대상연면적 15,000 이상북부소방서동림119안전센터(주)지오메디칼공장광주광역시 북구 연제동 106819999.242024-03-14
451급대상30층이상 아파트(지하제외)북부소방서우산119안전센터1차휴먼파크서희스타힐스공동주택광주광역시 북구 각화동 591137412.232024-03-14
561급대상11층이상북부소방서우산119안전센터1차휴먼파크서희스타힐스 오피스텔업무시설광주광역시 북구 각화동 59111927.522024-03-14
671급대상30층이상 아파트(지하제외)북부소방서우산119안전센터2차센트럴파크 서희스타힐스공동주택광주광역시 북구 각화동 608128373.582024-03-14
781급대상11층이상북부소방서우산119안전센터2차센트럴파크 서희스타힐스 오피스텔업무시설광주광역시 북구 각화동 60814280.122024-03-14
891급대상연면적 15,000 이상북부소방서일곡119안전센터KT&G 광주공장공동주택광주광역시 북구 양산동 330159246.862024-03-14
9101급대상연면적 15,000 이상북부소방서임동119안전센터KT북광주지점방송통신시설광주광역시 북구 신안동 16-140089.952024-03-14
연번대상물구분대상물상세구분관할서관할센터대상물명주용도소재지지번주소연면적(제곱미터)데이터기준일자
71721급대상11층이상북부소방서임동119안전센터한국시멘트빌딩(한국씨엔티)업무시설광주광역시 북구 중흥동 699-217724.722024-03-14
72731급대상연면적 15,000 이상북부소방서문흥119안전센터한국아델리움더 숲업무시설광주광역시 북구 문흥동 877-1337708.962024-03-14
73741급대상연면적 15,000 이상북부소방서일곡119안전센터한국코카콜라음료(주)광주공장공장광주광역시 북구 양산동 408-141695.552024-03-14
74751급대상연면적 15,000 이상북부소방서동림119안전센터허드슨 1041 지식산업센터복합건축물광주광역시 북구 연제동 104137879.472024-03-14
75761급대상연면적 15,000 이상북부소방서문흥119안전센터현대병원(용봉북)의료시설광주광역시 북구 용봉동 1129-215987.462024-03-14
76771급대상11층이상북부소방서임동119안전센터현대빌딩A동복합건축물광주광역시 북구 운암동 434-296916.232024-03-14
77781급대상30층이상 아파트(지하제외)북부소방서우산119안전센터현대힐스테이트공동주택광주광역시 북구 각화동 594104895.02024-03-14
78791급대상11층이상북부소방서우산119안전센터현대힐스테이트 오피스텔업무시설광주광역시 북구 각화동 59411038.02024-03-14
79801급대상연면적 15,000 이상북부소방서건국119안전센터호남권역재활병원(1)의료시설광주광역시 북구 본촌동 459-3 외 2필지16742.422024-03-14
80811급대상연면적 15,000 이상북부소방서우산119안전센터홈플러스 동광주점판매시설광주광역시 북구 두암동 575-156625.612024-03-14