Overview

Dataset statistics

Number of variables10
Number of observations39
Missing cells11
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory84.3 B

Variable types

Categorical5
Text3
Numeric1
DateTime1

Dataset

Description전북특별자치도 전주시 내 다중이용시설 목록입니다.항목 : 시·도, 시·군·구, 시설명, 시설, 연락처, 주용도, 연면적(㎡), 소재지, 매뉴얼, 작성여부, 매뉴얼종류, 구분제공부서 : 시민안전담당관
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15068913/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일 has constant value ""Constant
매뉴얼종류 is highly overall correlated with 주용도 and 1 other fieldsHigh correlation
주용도 is highly overall correlated with 매뉴얼작성여부 and 1 other fieldsHigh correlation
매뉴얼작성여부 is highly overall correlated with 연면적(제곱미터) and 2 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 매뉴얼작성여부High correlation
매뉴얼작성여부 is highly imbalanced (82.8%)Imbalance
시설연락처 has 11 (28.2%) missing valuesMissing
연면적(제곱미터) has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:04:07.118525
Analysis finished2024-03-14 16:04:08.738949
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
전북특별자치도
39 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북특별자치도 39
100.0%

Length

2024-03-15T01:04:08.931237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:04:09.163327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북특별자치도 39
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
전주시
39 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 39
100.0%

Length

2024-03-15T01:04:09.347904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:04:09.613784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 39
100.0%

시설명
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T01:04:10.297935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length7.4358974
Min length4

Characters and Unicode

Total characters290
Distinct characters113
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row예수병원
2nd row대자인병원
3rd row전주병원
4th row전주고려병원
5th rowNC웨이브전주점
ValueCountFrequency (%)
전주점 6
 
11.3%
홈플러스 3
 
5.7%
nc웨이브전주점 2
 
3.8%
cgv 2
 
3.8%
상가동 2
 
3.8%
전주그랜드힐스턴호텔 1
 
1.9%
sk리더스뷰 1
 
1.9%
임페리얼웨딩홀 1
 
1.9%
바울교회 1
 
1.9%
바울센터 1
 
1.9%
Other values (33) 33
62.3%
2024-03-15T01:04:11.596063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 22
 
7.6%
주 22
 
7.6%
점 15
 
5.2%
14
 
4.8%
스 7
 
2.4%
회 6
 
2.1%
교 6
 
2.1%
웨 5
 
1.7%
이 5
 
1.7%
자 5
 
1.7%
Other values (103) 183
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
89.3%
Space Separator 14
 
4.8%
Uppercase Letter 13
 
4.5%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 22
 
8.5%
주 22
 
8.5%
점 15
 
5.8%
스 7
 
2.7%
회 6
 
2.3%
교 6
 
2.3%
웨 5
 
1.9%
이 5
 
1.9%
자 5
 
1.9%
트 4
 
1.5%
Other values (94) 162
62.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
30.8%
N 3
23.1%
G 2
15.4%
V 2
15.4%
S 1
 
7.7%
K 1
 
7.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
89.3%
Common 18
 
6.2%
Latin 13
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 22
 
8.5%
주 22
 
8.5%
점 15
 
5.8%
스 7
 
2.7%
회 6
 
2.3%
교 6
 
2.3%
웨 5
 
1.9%
이 5
 
1.9%
자 5
 
1.9%
트 4
 
1.5%
Other values (94) 162
62.5%
Latin
ValueCountFrequency (%)
C 4
30.8%
N 3
23.1%
G 2
15.4%
V 2
15.4%
S 1
 
7.7%
K 1
 
7.7%
Common
ValueCountFrequency (%)
14
77.8%
( 2
 
11.1%
) 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
89.3%
ASCII 31
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 22
 
8.5%
주 22
 
8.5%
점 15
 
5.8%
스 7
 
2.7%
회 6
 
2.3%
교 6
 
2.3%
웨 5
 
1.9%
이 5
 
1.9%
자 5
 
1.9%
트 4
 
1.5%
Other values (94) 162
62.5%
ASCII
ValueCountFrequency (%)
14
45.2%
C 4
 
12.9%
N 3
 
9.7%
G 2
 
6.5%
V 2
 
6.5%
( 2
 
6.5%
) 2
 
6.5%
S 1
 
3.2%
K 1
 
3.2%

시설연락처
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing11
Missing (%)28.2%
Memory size440.0 B
2024-03-15T01:04:12.444335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.464286
Min length12

Characters and Unicode

Total characters349
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row063-230-8580
2nd row063-240-2976
3rd row063-220-7205
4th row063-240-7300
5th row063-281-9007
ValueCountFrequency (%)
063-230-1048 1
 
3.6%
063-220-7205 1
 
3.6%
063-226-8787,063-239-4368 1
 
3.6%
063-278-1100 1
 
3.6%
063-281-5119 1
 
3.6%
063-229-9370 1
 
3.6%
063-287-1700 1
 
3.6%
063-237-5300 1
 
3.6%
063-223-8442 1
 
3.6%
063-282-8491 1
 
3.6%
Other values (18) 18
64.3%
2024-03-15T01:04:13.554049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 64
18.3%
- 58
16.6%
3 47
13.5%
2 39
11.2%
6 35
10.0%
1 28
8.0%
8 24
 
6.9%
4 15
 
4.3%
7 14
 
4.0%
9 13
 
3.7%
Other values (2) 12
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.1%
Dash Punctuation 58
 
16.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
22.1%
3 47
16.2%
2 39
13.4%
6 35
12.1%
1 28
9.7%
8 24
 
8.3%
4 15
 
5.2%
7 14
 
4.8%
9 13
 
4.5%
5 11
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 64
18.3%
- 58
16.6%
3 47
13.5%
2 39
11.2%
6 35
10.0%
1 28
8.0%
8 24
 
6.9%
4 15
 
4.3%
7 14
 
4.0%
9 13
 
3.7%
Other values (2) 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 64
18.3%
- 58
16.6%
3 47
13.5%
2 39
11.2%
6 35
10.0%
1 28
8.0%
8 24
 
6.9%
4 15
 
4.3%
7 14
 
4.0%
9 13
 
3.7%
Other values (2) 12
 
3.4%

주용도
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size440.0 B
판매시설
17 
종교시설
6 
의료시설
4 
문화및집회시설
4 
영화관
3 
Other values (2)
5 

Length

Max length7
Median length4
Mean length4.5384615
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료시설
2nd row의료시설
3rd row의료시설
4th row의료시설
5th row판매및영업시설

Common Values

ValueCountFrequency (%)
판매시설 17
43.6%
종교시설 6
 
15.4%
의료시설 4
 
10.3%
문화및집회시설 4
 
10.3%
영화관 3
 
7.7%
관광숙박시설 3
 
7.7%
판매및영업시설 2
 
5.1%

Length

2024-03-15T01:04:13.938308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:04:14.223819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매시설 17
43.6%
종교시설 6
 
15.4%
의료시설 4
 
10.3%
문화및집회시설 4
 
10.3%
영화관 3
 
7.7%
관광숙박시설 3
 
7.7%
판매및영업시설 2
 
5.1%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17498.513
Minimum3159
Maximum72511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size479.0 B
2024-03-15T01:04:14.609755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3159
5-th percentile5068.6
Q16987
median9452
Q322262
95-th percentile47802.4
Maximum72511
Range69352
Interquartile range (IQR)15275

Descriptive statistics

Standard deviation15810.371
Coefficient of variation (CV)0.90352655
Kurtosis2.785142
Mean17498.513
Median Absolute Deviation (MAD)3414
Skewness1.7036441
Sum682442
Variance2.4996783 × 108
MonotonicityNot monotonic
2024-03-15T01:04:14.969112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
39117 1
 
2.6%
19500 1
 
2.6%
5011 1
 
2.6%
9452 1
 
2.6%
5075 1
 
2.6%
8371 1
 
2.6%
11802 1
 
2.6%
8333 1
 
2.6%
7076 1
 
2.6%
6038 1
 
2.6%
Other values (29) 29
74.4%
ValueCountFrequency (%)
3159 1
2.6%
5011 1
2.6%
5075 1
2.6%
6021 1
2.6%
6038 1
2.6%
6039 1
2.6%
6105 1
2.6%
6419 1
2.6%
6627 1
2.6%
6960 1
2.6%
ValueCountFrequency (%)
72511 1
2.6%
49462 1
2.6%
47618 1
2.6%
43724 1
2.6%
39117 1
2.6%
36035 1
2.6%
34628 1
2.6%
29897 1
2.6%
26047 1
2.6%
23602 1
2.6%

소재지
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-03-15T01:04:16.004137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length21.717949
Min length14

Characters and Unicode

Total characters847
Distinct characters66
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

Unique39 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 서원로 365
2nd row전주시 덕진구 견훤로 390
3rd row전주시 완산구 한두평3길 13
4th row전주시 덕진구 안덕원로 367
5th row전주시 완산구 전주객사4길 24-47 (전주시 완산구 고사동 105)
ValueCountFrequency (%)
전주시 44
23.8%
완산구 37
20.0%
덕진구 10
 
5.4%
효자동2가 4
 
2.2%
효자동3가 3
 
1.6%
서완산동1가 3
 
1.6%
전주객사4길 3
 
1.6%
서신동 2
 
1.1%
온고을로 2
 
1.1%
삼천동2가 2
 
1.1%
Other values (70) 75
40.5%
2024-03-15T01:04:17.514562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
17.2%
전 53
 
6.3%
주 52
 
6.1%
시 47
 
5.5%
구 47
 
5.5%
산 41
 
4.8%
완 40
 
4.7%
1 39
 
4.6%
동 30
 
3.5%
3 24
 
2.8%
Other values (56) 328
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
56.7%
Decimal Number 178
 
21.0%
Space Separator 146
 
17.2%
Dash Punctuation 22
 
2.6%
Open Punctuation 11
 
1.3%
Close Punctuation 10
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 53
11.0%
주 52
10.8%
시 47
 
9.8%
구 47
 
9.8%
산 41
 
8.5%
완 40
 
8.3%
동 30
 
6.2%
가 19
 
4.0%
로 14
 
2.9%
진 11
 
2.3%
Other values (42) 126
26.2%
Decimal Number
ValueCountFrequency (%)
1 39
21.9%
3 24
13.5%
2 23
12.9%
7 20
11.2%
4 20
11.2%
5 16
9.0%
6 12
 
6.7%
8 10
 
5.6%
0 8
 
4.5%
9 6
 
3.4%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
56.7%
Common 367
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 53
11.0%
주 52
10.8%
시 47
 
9.8%
구 47
 
9.8%
산 41
 
8.5%
완 40
 
8.3%
동 30
 
6.2%
가 19
 
4.0%
로 14
 
2.9%
진 11
 
2.3%
Other values (42) 126
26.2%
Common
ValueCountFrequency (%)
146
39.8%
1 39
 
10.6%
3 24
 
6.5%
2 23
 
6.3%
- 22
 
6.0%
7 20
 
5.4%
4 20
 
5.4%
5 16
 
4.4%
6 12
 
3.3%
( 11
 
3.0%
Other values (4) 34
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
56.7%
ASCII 367
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
39.8%
1 39
 
10.6%
3 24
 
6.5%
2 23
 
6.3%
- 22
 
6.0%
7 20
 
5.4%
4 20
 
5.4%
5 16
 
4.4%
6 12
 
3.3%
( 11
 
3.0%
Other values (4) 34
 
9.3%
Hangul
ValueCountFrequency (%)
전 53
11.0%
주 52
10.8%
시 47
 
9.8%
구 47
 
9.8%
산 41
 
8.5%
완 40
 
8.3%
동 30
 
6.2%
가 19
 
4.0%
로 14
 
2.9%
진 11
 
2.3%
Other values (42) 126
26.2%

매뉴얼작성여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size440.0 B
O
38 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0769231
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
O 38
97.4%
<NA> 1
 
2.6%

Length

2024-03-15T01:04:17.972326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:04:18.360624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 38
97.4%
na 1
 
2.6%

매뉴얼종류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size440.0 B
다중이용시설 위기상황 매뉴얼
28 
소방계획서, 다중이용시설 위기상황 매뉴얼
6 
소방계획서, 다중이용시설 위기상황메뉴얼
 
2
다중이용시설 위기상황 매뉴얼
 
2
<NA>
 
1

Length

Max length23
Median length16
Mean length16.974359
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row소방계획서, 다중이용시설 위기상황 매뉴얼
2nd row소방계획서, 다중이용시설 위기상황메뉴얼
3rd row소방계획서, 다중이용시설 위기상황메뉴얼
4th row소방계획서, 다중이용시설 위기상황 매뉴얼
5th row다중이용시설 위기상황 매뉴얼

Common Values

ValueCountFrequency (%)
다중이용시설 위기상황 매뉴얼 28
71.8%
소방계획서, 다중이용시설 위기상황 매뉴얼 6
 
15.4%
소방계획서, 다중이용시설 위기상황메뉴얼 2
 
5.1%
다중이용시설 위기상황 매뉴얼 2
 
5.1%
<NA> 1
 
2.6%

Length

2024-03-15T01:04:18.804593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:04:19.187567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다중이용시설 38
31.4%
위기상황 36
29.8%
매뉴얼 36
29.8%
소방계획서 8
 
6.6%
위기상황메뉴얼 2
 
1.7%
na 1
 
0.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
Minimum2024-01-17 00:00:00
Maximum2024-01-17 00:00:00
2024-03-15T01:04:19.689824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:04:20.035621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T01:04:07.645873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:04:20.288625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설연락처주용도연면적(제곱미터)소재지매뉴얼종류
시설명1.0001.0001.0001.0001.0001.000
시설연락처1.0001.0001.0001.0001.0001.000
주용도1.0001.0001.0000.0001.0000.670
연면적(제곱미터)1.0001.0000.0001.0001.0000.640
소재지1.0001.0001.0001.0001.0001.000
매뉴얼종류1.0001.0000.6700.6401.0001.000
2024-03-15T01:04:20.563235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
매뉴얼종류주용도매뉴얼작성여부
매뉴얼종류1.0000.5051.000
주용도0.5051.0001.000
매뉴얼작성여부1.0001.0001.000
2024-03-15T01:04:20.816345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)주용도매뉴얼작성여부매뉴얼종류
연면적(제곱미터)1.0000.0001.0000.220
주용도0.0001.0001.0000.505
매뉴얼작성여부1.0001.0001.0001.000
매뉴얼종류0.2200.5051.0001.000

Missing values

2024-03-15T01:04:08.064875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:04:08.551660image/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

시도시군구시설명시설연락처주용도연면적(제곱미터)소재지매뉴얼작성여부매뉴얼종류데이터기준일
0전북특별자치도전주시예수병원063-230-8580의료시설39117전주시 완산구 서원로 365O소방계획서, 다중이용시설 위기상황 매뉴얼2024-01-17
1전북특별자치도전주시대자인병원063-240-2976의료시설19500전주시 덕진구 견훤로 390O소방계획서, 다중이용시설 위기상황메뉴얼2024-01-17
2전북특별자치도전주시전주병원063-220-7205의료시설3159전주시 완산구 한두평3길 13O소방계획서, 다중이용시설 위기상황메뉴얼2024-01-17
3전북특별자치도전주시전주고려병원063-240-7300의료시설9837전주시 덕진구 안덕원로 367O소방계획서, 다중이용시설 위기상황 매뉴얼2024-01-17
4전북특별자치도전주시NC웨이브전주점<NA>판매및영업시설8187전주시 완산구 전주객사4길 24-47 (전주시 완산구 고사동 105)O다중이용시설 위기상황 매뉴얼2024-01-17
5전북특별자치도전주시NC웨이브전주점<NA>판매및영업시설8389전주시 완산구 전주객사5길 35 (전주시 완산구 고사동 96-1)O다중이용시설 위기상황 매뉴얼2024-01-17
6전북특별자치도전주시세이브존 전주점063-281-9007판매시설23602전주시 완산구 팔달로 262-6(전주시 완산구 서노송동 627-1)O다중이용시설 위기상황 매뉴얼2024-01-17
7전북특별자치도전주시이마트 전주점<NA>판매시설20539전주시 완산구 당산로 111(전주시 완산구 서신동 767)O소방계획서, 다중이용시설 위기상황 매뉴얼2024-01-17
8전북특별자치도전주시롯데백화점 전주점063-289-3631판매시설72511전주시 완산구 온고을로 2(전주시 완산구 서신동 971)O소방계획서, 다중이용시설 위기상황 매뉴얼2024-01-17
9전북특별자치도전주시홈플러스 전주완산점<NA>판매시설49462전주시 완산구 기린대로 170 (전주시 완산구 중노송동 495-6)O다중이용시설 위기상황 매뉴얼2024-01-17
시도시군구시설명시설연락처주용도연면적(제곱미터)소재지매뉴얼작성여부매뉴얼종류데이터기준일
29전북특별자치도전주시완산교회063-282-8491종교시설6038전주시 완산구 서완산동1가 232-2O다중이용시설 위기상황 매뉴얼2024-01-17
30전북특별자치도전주시몰오브효자<NA>판매시설15058전주시 완산구 효자동1가 434O다중이용시설 위기상황 매뉴얼2024-01-17
31전북특별자치도전주시서희스타힐스 상가동063-223-8442판매시설7014전주시 완산구 효자동2가 1157-1O다중이용시설 위기상황 매뉴얼2024-01-17
32전북특별자치도전주시전주 효자 SK리더스뷰 상가동063-237-5300판매시설6960전주시 완산구 효자동2가 1157-4O다중이용시설 위기상황 매뉴얼2024-01-17
33전북특별자치도전주시전주그랜드힐스턴호텔063-287-1700관광숙박시설12161전주시 완산구 효자동3가 1404-3O다중이용시설 위기상황 매뉴얼2024-01-17
34전북특별자치도전주시세이백화점063-229-9370판매시설6039전주시 완산구 효자동3가 1531-3O다중이용시설 위기상황 매뉴얼2024-01-17
35전북특별자치도전주시디쟈트가구063-281-5119판매시설6627전주시 완산구 중앙동2가 26-1O다중이용시설 위기상황 매뉴얼2024-01-17
36전북특별자치도전주시임페리얼웨딩홀063-278-1100문화및집회시설7504전주시 덕진구 태진로 77O다중이용시설 위기상황 매뉴얼2024-01-17
37전북특별자치도전주시아름다운컨벤션웨딩063-254-3100문화및집회시설6419전주시 덕진구 온고을로 291O다중이용시설 위기상황 매뉴얼2024-01-17
38전북특별자치도전주시대방디엠시티<NA>판매시설20882전주시 덕진구 기지로 77<NA><NA>2024-01-17