Overview

Dataset statistics

Number of variables11
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory91.1 B

Variable types

Numeric1
Categorical6
Text4

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:06:18.348371
Analysis finished2024-03-14 00:06:18.944238
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.5
Minimum1
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:06:18.999334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.75
Q129.75
median58.5
Q387.25
95-th percentile110.25
Maximum116
Range115
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation33.630343
Coefficient of variation (CV)0.57487767
Kurtosis-1.2
Mean58.5
Median Absolute Deviation (MAD)29
Skewness0
Sum6786
Variance1131
MonotonicityStrictly increasing
2024-03-14T09:06:19.112500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
75 1
 
0.9%
87 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
Other values (106) 106
91.4%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
116 1
0.9%
115 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
익산시
15 
군산시
14 
전주시
12 
남원시
10 
정읍시
9 
Other values (9)
56 

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 (%)
익산시 15
12.9%
군산시 14
12.1%
전주시 12
10.3%
남원시 10
8.6%
정읍시 9
7.8%
완주군 8
6.9%
고창군 8
6.9%
부안군 8
6.9%
김제시 7
 
6.0%
장수군 6
 
5.2%
Other values (4) 19
16.4%

Length

2024-03-14T09:06:19.216267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산시 15
12.9%
군산시 14
12.1%
전주시 12
10.3%
남원시 10
8.6%
정읍시 9
7.8%
완주군 8
6.9%
고창군 8
6.9%
부안군 8
6.9%
김제시 7
 
6.0%
장수군 6
 
5.2%
Other values (4) 19
16.4%

구분
Categorical

Distinct6
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
119안전센터
49 
지역대
47 
소방서
10 
119구조대
8 
전북소방본부
 
1

Length

Max length7
Median length6.5
Mean length4.9224138
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row전북소방본부
2nd row소방서
3rd row소방서
4th row119안전센터
5th row119안전센터

Common Values

ValueCountFrequency (%)
119안전센터 49
42.2%
지역대 47
40.5%
소방서 10
 
8.6%
119구조대 8
 
6.9%
전북소방본부 1
 
0.9%
구조대 1
 
0.9%

Length

2024-03-14T09:06:19.314728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:06:19.409923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
119안전센터 49
42.2%
지역대 47
40.5%
소방서 10
 
8.6%
119구조대 8
 
6.9%
전북소방본부 1
 
0.9%
구조대 1
 
0.9%

소방서명
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T09:06:19.621451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.1465517
Min length5

Characters and Unicode

Total characters829
Distinct characters123
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

Unique114 ?
Unique (%)98.3%

Sample

1st row전북소방본부
2nd row전주덕진소방서
3rd row전주완산소방서
4th row금암119안전센터
5th row팔복119안전센터
ValueCountFrequency (%)
교동119안전센터 2
 
1.7%
흥덕119안전센터 1
 
0.9%
남원119구조대 1
 
0.9%
고창소방서 1
 
0.9%
김제119구조대 1
 
0.9%
금구지역대 1
 
0.9%
백구지역대 1
 
0.9%
금산119안전센터 1
 
0.9%
만경119안전센터 1
 
0.9%
김제소방서 1
 
0.9%
Other values (105) 105
90.5%
2024-03-14T09:06:19.977277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 128
15.4%
9 63
 
7.6%
대 59
 
7.1%
안 55
 
6.6%
전 54
 
6.5%
지 51
 
6.2%
센 49
 
5.9%
터 49
 
5.9%
역 47
 
5.7%
서 15
 
1.8%
Other values (113) 259
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
76.8%
Decimal Number 192
 
23.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 59
 
9.3%
안 55
 
8.6%
전 54
 
8.5%
지 51
 
8.0%
센 49
 
7.7%
터 49
 
7.7%
역 47
 
7.4%
서 15
 
2.4%
구 14
 
2.2%
소 13
 
2.0%
Other values (110) 231
36.3%
Decimal Number
ValueCountFrequency (%)
1 128
66.7%
9 63
32.8%
0 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
76.8%
Common 192
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 59
 
9.3%
안 55
 
8.6%
전 54
 
8.5%
지 51
 
8.0%
센 49
 
7.7%
터 49
 
7.7%
역 47
 
7.4%
서 15
 
2.4%
구 14
 
2.2%
소 13
 
2.0%
Other values (110) 231
36.3%
Common
ValueCountFrequency (%)
1 128
66.7%
9 63
32.8%
0 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
76.8%
ASCII 192
 
23.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 128
66.7%
9 63
32.8%
0 1
 
0.5%
Hangul
ValueCountFrequency (%)
대 59
 
9.3%
안 55
 
8.6%
전 54
 
8.5%
지 51
 
8.0%
센 49
 
7.7%
터 49
 
7.7%
역 47
 
7.4%
서 15
 
2.4%
구 14
 
2.2%
소 13
 
2.0%
Other values (110) 231
36.3%

도로명주소
Text

Distinct97
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T09:06:20.309306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14.413793
Min length10

Characters and Unicode

Total characters1672
Distinct characters163
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

Unique86 ?
Unique (%)74.1%

Sample

1st row전주시 완산구 효자로 225
2nd row전주시 덕진구 백제대로 611
3rd row전주시 완산구 거마평로 73
4th row전주시 덕진구 백제대로 611
5th row전주시 덕진구 온고을로 430
ValueCountFrequency (%)
익산시 15
 
3.5%
군산시 14
 
3.3%
전주시 12
 
2.8%
정읍시 9
 
2.1%
남원시 8
 
1.9%
부안군 8
 
1.9%
완주군 8
 
1.9%
고창군 8
 
1.9%
김제시 7
 
1.6%
완산구 7
 
1.6%
Other values (250) 333
77.6%
2024-03-14T09:06:20.733669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
 
18.7%
로 95
 
5.7%
1 85
 
5.1%
시 65
 
3.9%
군 64
 
3.8%
산 57
 
3.4%
면 56
 
3.3%
2 44
 
2.6%
3 43
 
2.6%
4 40
 
2.4%
Other values (153) 810
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 988
59.1%
Decimal Number 354
 
21.2%
Space Separator 313
 
18.7%
Dash Punctuation 16
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 95
 
9.6%
시 65
 
6.6%
군 64
 
6.5%
산 57
 
5.8%
면 56
 
5.7%
주 28
 
2.8%
읍 24
 
2.4%
길 22
 
2.2%
안 21
 
2.1%
창 19
 
1.9%
Other values (140) 537
54.4%
Decimal Number
ValueCountFrequency (%)
1 85
24.0%
2 44
12.4%
3 43
12.1%
4 40
11.3%
8 28
 
7.9%
7 26
 
7.3%
9 23
 
6.5%
5 23
 
6.5%
0 21
 
5.9%
6 21
 
5.9%
Space Separator
ValueCountFrequency (%)
313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 988
59.1%
Common 684
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 95
 
9.6%
시 65
 
6.6%
군 64
 
6.5%
산 57
 
5.8%
면 56
 
5.7%
주 28
 
2.8%
읍 24
 
2.4%
길 22
 
2.2%
안 21
 
2.1%
창 19
 
1.9%
Other values (140) 537
54.4%
Common
ValueCountFrequency (%)
313
45.8%
1 85
 
12.4%
2 44
 
6.4%
3 43
 
6.3%
4 40
 
5.8%
8 28
 
4.1%
7 26
 
3.8%
9 23
 
3.4%
5 23
 
3.4%
0 21
 
3.1%
Other values (3) 38
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 988
59.1%
ASCII 684
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
45.8%
1 85
 
12.4%
2 44
 
6.4%
3 43
 
6.3%
4 40
 
5.8%
8 28
 
4.1%
7 26
 
3.8%
9 23
 
3.4%
5 23
 
3.4%
0 21
 
3.1%
Other values (3) 38
 
5.6%
Hangul
ValueCountFrequency (%)
로 95
 
9.6%
시 65
 
6.6%
군 64
 
6.5%
산 57
 
5.8%
면 56
 
5.7%
주 28
 
2.8%
읍 24
 
2.4%
길 22
 
2.2%
안 21
 
2.1%
창 19
 
1.9%
Other values (140) 537
54.4%

지번주소
Text

Distinct96
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T09:06:21.026765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length15.62931
Min length9

Characters and Unicode

Total characters1813
Distinct characters152
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)73.3%

Sample

1st row전주시 완산구 효자동3가 1
2nd row전주시 덕진구 금암동 1548-11
3rd row전주시 완산구 효자동1가 670
4th row전주시 덕진구 금암동 1548-11
5th row전주시 덕진구 만성동 359
ValueCountFrequency (%)
익산시 15
 
3.4%
군산시 14
 
3.2%
전주시 12
 
2.7%
남원시 10
 
2.3%
정읍시 9
 
2.1%
고창군 8
 
1.8%
부안군 8
 
1.8%
완주군 8
 
1.8%
김제시 7
 
1.6%
완산구 7
 
1.6%
Other values (261) 339
77.6%
2024-03-14T09:06:21.409059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
 
17.7%
1 98
 
5.4%
리 78
 
4.3%
- 74
 
4.1%
시 69
 
3.8%
군 64
 
3.5%
면 63
 
3.5%
5 54
 
3.0%
산 52
 
2.9%
6 46
 
2.5%
Other values (142) 894
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 970
53.5%
Decimal Number 448
24.7%
Space Separator 321
 
17.7%
Dash Punctuation 74
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 78
 
8.0%
시 69
 
7.1%
군 64
 
6.6%
면 63
 
6.5%
산 52
 
5.4%
동 45
 
4.6%
읍 28
 
2.9%
주 26
 
2.7%
창 19
 
2.0%
안 19
 
2.0%
Other values (130) 507
52.3%
Decimal Number
ValueCountFrequency (%)
1 98
21.9%
5 54
12.1%
6 46
10.3%
3 45
10.0%
4 39
 
8.7%
9 37
 
8.3%
7 36
 
8.0%
8 33
 
7.4%
0 31
 
6.9%
2 29
 
6.5%
Space Separator
ValueCountFrequency (%)
321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 970
53.5%
Common 843
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 78
 
8.0%
시 69
 
7.1%
군 64
 
6.6%
면 63
 
6.5%
산 52
 
5.4%
동 45
 
4.6%
읍 28
 
2.9%
주 26
 
2.7%
창 19
 
2.0%
안 19
 
2.0%
Other values (130) 507
52.3%
Common
ValueCountFrequency (%)
321
38.1%
1 98
 
11.6%
- 74
 
8.8%
5 54
 
6.4%
6 46
 
5.5%
3 45
 
5.3%
4 39
 
4.6%
9 37
 
4.4%
7 36
 
4.3%
8 33
 
3.9%
Other values (2) 60
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 970
53.5%
ASCII 843
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
38.1%
1 98
 
11.6%
- 74
 
8.8%
5 54
 
6.4%
6 46
 
5.5%
3 45
 
5.3%
4 39
 
4.6%
9 37
 
4.4%
7 36
 
4.3%
8 33
 
3.9%
Other values (2) 60
 
7.1%
Hangul
ValueCountFrequency (%)
리 78
 
8.0%
시 69
 
7.1%
군 64
 
6.6%
면 63
 
6.5%
산 52
 
5.4%
동 45
 
4.6%
읍 28
 
2.9%
주 26
 
2.7%
창 19
 
2.0%
안 19
 
2.0%
Other values (130) 507
52.3%

전화번호
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T09:06:21.614269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1392
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row063-280-3800
2nd row063-250-4212
3rd row063-220-4200
4th row063-274-0119
5th row063-212-0119
ValueCountFrequency (%)
063-280-3800 1
 
0.9%
063-620-3761 1
 
0.9%
063-560-1200 1
 
0.9%
063-540-4281 1
 
0.9%
063-540-4293 1
 
0.9%
063-540-4291 1
 
0.9%
063-540-4284 1
 
0.9%
063-540-4283 1
 
0.9%
063-540-4282 1
 
0.9%
063-540-4212 1
 
0.9%
Other values (106) 106
91.4%
2024-03-14T09:06:21.964237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 232
16.7%
0 211
15.2%
6 189
13.6%
3 178
12.8%
1 166
11.9%
2 126
9.1%
5 89
 
6.4%
9 71
 
5.1%
4 68
 
4.9%
8 37
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1160
83.3%
Dash Punctuation 232
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
18.2%
6 189
16.3%
3 178
15.3%
1 166
14.3%
2 126
10.9%
5 89
7.7%
9 71
 
6.1%
4 68
 
5.9%
8 37
 
3.2%
7 25
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 232
16.7%
0 211
15.2%
6 189
13.6%
3 178
12.8%
1 166
11.9%
2 126
9.1%
5 89
 
6.4%
9 71
 
5.1%
4 68
 
4.9%
8 37
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 232
16.7%
0 211
15.2%
6 189
13.6%
3 178
12.8%
1 166
11.9%
2 126
9.1%
5 89
 
6.4%
9 71
 
5.1%
4 68
 
4.9%
8 37
 
2.7%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
구조구급과
116 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구조구급과 116
100.0%

Length

2024-03-14T09:06:22.095931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:06:22.188365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조구급과 116
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
공개
116 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 116
100.0%

Length

2024-03-14T09:06:22.298795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:06:22.376343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 116
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2015.1
116 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 116
100.0%

Length

2024-03-14T09:06:22.453617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:06:22.532835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 116
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1년
116 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 116
100.0%

Length

2024-03-14T09:06:22.615281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:06:22.696905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 116
100.0%

Interactions

2024-03-14T09:06:18.697146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:06:22.744664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분도로명주소지번주소
순번1.0000.9560.0000.9650.965
시군명0.9561.0000.0001.0001.000
구분0.0000.0001.0000.0000.000
도로명주소0.9651.0000.0001.0001.000
지번주소0.9651.0000.0001.0001.000
2024-03-14T09:06:22.826228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구분
시군명1.0000.000
구분0.0001.000
2024-03-14T09:06:22.890272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분
순번1.0000.8050.028
시군명0.8051.0000.000
구분0.0280.0001.000

Missing values

2024-03-14T09:06:18.784352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:06:18.899245image/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

순번시군명구분소방서명도로명주소지번주소전화번호자료출처공개여부작성일갱신주기
01전주시전북소방본부전북소방본부전주시 완산구 효자로 225전주시 완산구 효자동3가 1063-280-3800구조구급과공개2015.11년
12전주시소방서전주덕진소방서전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4212구조구급과공개2015.11년
23전주시소방서전주완산소방서전주시 완산구 거마평로 73전주시 완산구 효자동1가 670063-220-4200구조구급과공개2015.11년
34전주시119안전센터금암119안전센터전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-274-0119구조구급과공개2015.11년
45전주시119안전센터팔복119안전센터전주시 덕진구 온고을로 430전주시 덕진구 만성동 359063-212-0119구조구급과공개2015.11년
56전주시119안전센터전미119안전센터전주시 덕진구 과학로 144전주시 덕진구 전미동1가 593-9063-253-3119구조구급과공개2015.11년
67전주시119안전센터아중119안전센터전주시 덕진구 진버들로4길 16전주시 덕진구 인후동1가 807-9063-246-2119구조구급과공개2015.11년
78전주시119안전센터효자119안전센터전주시 완산구 거마평로 73전주시 완산구 효자동1가 670063-220-4262구조구급과공개2015.11년
89전주시119안전센터교동119안전센터전주시 완산구 경기전길 183전주시 완산구 교동 219-1063-284-0119구조구급과공개2015.11년
910전주시119안전센터노송119안전센터전주시 완산구 관선4길38전주시 완산구 남노송동 175-32063-287-7119구조구급과공개2015.11년
순번시군명구분소방서명도로명주소지번주소전화번호자료출처공개여부작성일갱신주기
106107장수군119구조대장수119구조대장수군 장계면 육십령로 136장수군 장계면 장계리 673063-352-6119구조구급과공개2015.11년
107108진안군119안전센터진안119안전센터진안군 진안읍 진무로 1179진안군 진안읍 군상리 246-1063-433-0119구조구급과공개2015.11년
108109진안군119안전센터마령119안전센터진안군 마령면 임진로 2077-24진안군 마령면 평지리 976-16063-432-3119구조구급과공개2015.11년
109110진안군지역대안천지역대진안군 안천면 진무로 2998진안군 안천면 노성리 714063-432-0119구조구급과공개2015.11년
110111진안군지역대동향지역대진안군 동향면 하양지1길 2진안군 동향면 대량리 640063-432-1195구조구급과공개2015.11년
111112진안군지역대부귀지역대진안군 부귀면 부귀로 304-7진안군 부귀면 거석리 947-9063-432-7119구조구급과공개2015.11년
112113무주군119안전센터무주119안전센터무주군 무주읍 교동1길 11무주군 무주읍 읍내리 294-17063-322-2121구조구급과공개2015.11년
113114무주군지역대안성지역대무주군 안성면 단지봉길 13무주군 안성면 장기리 1554-3063-323-0119구조구급과공개2015.11년
114115무주군지역대구천동지역대무주군 설천면 구천동1로 54무주군 설천면 삼공리 418063-322-8119구조구급과공개2015.11년
115116무주군지역대설천지역대무주군 설천면 무설로 1607무주군 설천면 소천리 903063-324-7119구조구급과공개2015.11년