Overview

Dataset statistics

Number of variables11
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory90.1 B

Variable types

Numeric1
Categorical6
Text4

Dataset

Description2020년도 전라북도 소방서 현황에 대한 정보입니다.
Author전라북도
URLhttps://www.data.go.kr/data/15059727/fileData.do

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 started2023-12-12 15:11:28.900348
Analysis finished2023-12-12 15:11:29.801504
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T00:11:30.157585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.1
Q131.5
median62
Q392.5
95-th percentile116.9
Maximum123
Range122
Interquartile range (IQR)61

Descriptive statistics

Standard deviation35.651087
Coefficient of variation (CV)0.57501753
Kurtosis-1.2
Mean62
Median Absolute Deviation (MAD)31
Skewness0
Sum7626
Variance1271
MonotonicityStrictly increasing
2023-12-13T00:11:30.307220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
79 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
Other values (113) 113
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
익산시
15 
전주시
14 
군산시
14 
남원시
10 
완주군
10 
Other values (9)
60 

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
12.2%
전주시 14
11.4%
군산시 14
11.4%
남원시 10
8.1%
완주군 10
8.1%
정읍시 9
7.3%
고창군 8
 
6.5%
부안군 8
 
6.5%
김제시 7
 
5.7%
순창군 7
 
5.7%
Other values (4) 21
17.1%

Length

2023-12-13T00:11:30.432397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산시 15
12.2%
전주시 14
11.4%
군산시 14
11.4%
남원시 10
8.1%
완주군 10
8.1%
정읍시 9
7.3%
고창군 8
 
6.5%
부안군 8
 
6.5%
김제시 7
 
5.7%
순창군 7
 
5.7%
Other values (4) 21
17.1%

구분
Categorical

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
119안전센터
51 
119지역대
47 
소방서
12 
119구조대
12 
전북소방본부
 
1

Length

Max length7
Median length6
Mean length6.1219512
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row전북소방본부
2nd row소방서
3rd row119구조대
4th row119안전센터
5th row119안전센터

Common Values

ValueCountFrequency (%)
119안전센터 51
41.5%
119지역대 47
38.2%
소방서 12
 
9.8%
119구조대 12
 
9.8%
전북소방본부 1
 
0.8%

Length

2023-12-13T00:11:30.596492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:30.763130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
119안전센터 51
41.5%
119지역대 47
38.2%
소방서 12
 
9.8%
119구조대 12
 
9.8%
전북소방본부 1
 
0.8%

소방서명
Text

Distinct122
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T00:11:31.016858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.2276423
Min length5

Characters and Unicode

Total characters1012
Distinct characters122
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

Unique121 ?
Unique (%)98.4%

Sample

1st row전북소방본부
2nd row전주덕진소방서
3rd row전주덕진119구조대
4th row금암119안전센터
5th row팔복119안전센터
ValueCountFrequency (%)
교동119안전센터 2
 
1.6%
운봉119지역대 1
 
0.8%
고창소방서 1
 
0.8%
복흥119지역대 1
 
0.8%
쌍치119지역대 1
 
0.8%
구림119지역대 1
 
0.8%
동계119지역대 1
 
0.8%
순창119안전센터 1
 
0.8%
순창119구조대 1
 
0.8%
순창소방서 1
 
0.8%
Other values (112) 112
91.1%
2023-12-13T00:11:31.444151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 220
21.7%
9 110
 
10.9%
대 62
 
6.1%
안 57
 
5.6%
전 57
 
5.6%
센 51
 
5.0%
터 51
 
5.0%
지 50
 
4.9%
역 47
 
4.6%
구 17
 
1.7%
Other values (112) 290
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
67.4%
Decimal Number 330
32.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 62
 
9.1%
안 57
 
8.4%
전 57
 
8.4%
센 51
 
7.5%
터 51
 
7.5%
지 50
 
7.3%
역 47
 
6.9%
구 17
 
2.5%
서 17
 
2.5%
소 16
 
2.3%
Other values (110) 257
37.7%
Decimal Number
ValueCountFrequency (%)
1 220
66.7%
9 110
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
67.4%
Common 330
32.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 62
 
9.1%
안 57
 
8.4%
전 57
 
8.4%
센 51
 
7.5%
터 51
 
7.5%
지 50
 
7.3%
역 47
 
6.9%
구 17
 
2.5%
서 17
 
2.5%
소 16
 
2.3%
Other values (110) 257
37.7%
Common
ValueCountFrequency (%)
1 220
66.7%
9 110
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
67.4%
ASCII 330
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 220
66.7%
9 110
33.3%
Hangul
ValueCountFrequency (%)
대 62
 
9.1%
안 57
 
8.4%
전 57
 
8.4%
센 51
 
7.5%
터 51
 
7.5%
지 50
 
7.3%
역 47
 
6.9%
구 17
 
2.5%
서 17
 
2.5%
소 16
 
2.3%
Other values (110) 257
37.7%

도로명주소
Text

Distinct99
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T00:11:31.856754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length18.146341
Min length11

Characters and Unicode

Total characters2232
Distinct characters169
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)70.7%

Sample

1st row전주시 완산구 효자로 225
2nd row전주시 덕진구 백제대로 611
3rd row전주시 덕진구 백제대로 611
4th row전주시 덕진구 백제대로 611
5th row전주시 덕진구 온고을로 430
ValueCountFrequency (%)
전라북도 49
 
8.8%
전북 45
 
8.0%
익산시 15
 
2.7%
군산시 14
 
2.5%
전주시 14
 
2.5%
완주군 10
 
1.8%
남원시 10
 
1.8%
정읍시 9
 
1.6%
부안군 8
 
1.4%
고창군 8
 
1.4%
Other values (265) 378
67.5%
2023-12-13T00:11:32.382452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
457
20.5%
전 110
 
4.9%
로 102
 
4.6%
북 99
 
4.4%
1 84
 
3.8%
시 71
 
3.2%
군 69
 
3.1%
산 61
 
2.7%
면 58
 
2.6%
도 52
 
2.3%
Other values (159) 1069
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1372
61.5%
Space Separator 457
 
20.5%
Decimal Number 381
 
17.1%
Dash Punctuation 19
 
0.9%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 110
 
8.0%
로 102
 
7.4%
북 99
 
7.2%
시 71
 
5.2%
군 69
 
5.0%
산 61
 
4.4%
면 58
 
4.2%
도 52
 
3.8%
라 50
 
3.6%
주 35
 
2.6%
Other values (144) 665
48.5%
Decimal Number
ValueCountFrequency (%)
1 84
22.0%
2 48
12.6%
3 47
12.3%
4 39
10.2%
8 32
 
8.4%
7 31
 
8.1%
6 28
 
7.3%
0 25
 
6.6%
5 25
 
6.6%
9 22
 
5.8%
Space Separator
ValueCountFrequency (%)
457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1372
61.5%
Common 860
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 110
 
8.0%
로 102
 
7.4%
북 99
 
7.2%
시 71
 
5.2%
군 69
 
5.0%
산 61
 
4.4%
면 58
 
4.2%
도 52
 
3.8%
라 50
 
3.6%
주 35
 
2.6%
Other values (144) 665
48.5%
Common
ValueCountFrequency (%)
457
53.1%
1 84
 
9.8%
2 48
 
5.6%
3 47
 
5.5%
4 39
 
4.5%
8 32
 
3.7%
7 31
 
3.6%
6 28
 
3.3%
0 25
 
2.9%
5 25
 
2.9%
Other values (5) 44
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1372
61.5%
ASCII 860
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
457
53.1%
1 84
 
9.8%
2 48
 
5.6%
3 47
 
5.5%
4 39
 
4.5%
8 32
 
3.7%
7 31
 
3.6%
6 28
 
3.3%
0 25
 
2.9%
5 25
 
2.9%
Other values (5) 44
 
5.1%
Hangul
ValueCountFrequency (%)
전 110
 
8.0%
로 102
 
7.4%
북 99
 
7.2%
시 71
 
5.2%
군 69
 
5.0%
산 61
 
4.4%
면 58
 
4.2%
도 52
 
3.8%
라 50
 
3.6%
주 35
 
2.6%
Other values (144) 665
48.5%

지번주소
Text

Distinct99
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T00:11:32.773848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length18.219512
Min length13

Characters and Unicode

Total characters2241
Distinct characters150
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

Unique87 ?
Unique (%)70.7%

Sample

1st row전주시 완산구 효자동3가 1
2nd row전주시 덕진구 금암동 1548-11
3rd row전주시 덕진구 금암동 1548-11
4th row전주시 덕진구 금암동 1548-11
5th row전주시 덕진구 만성동 359
ValueCountFrequency (%)
전북 93
 
16.6%
익산시 15
 
2.7%
군산시 14
 
2.5%
전주시 14
 
2.5%
완주군 10
 
1.8%
남원시 10
 
1.8%
정읍시 9
 
1.6%
완산구 8
 
1.4%
부안군 8
 
1.4%
고창군 8
 
1.4%
Other values (270) 371
66.2%
2023-12-13T00:11:33.295603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
20.0%
1 115
 
5.1%
전 108
 
4.8%
북 97
 
4.3%
리 83
 
3.7%
- 83
 
3.7%
시 71
 
3.2%
군 69
 
3.1%
면 63
 
2.8%
5 54
 
2.4%
Other values (140) 1050
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1227
54.8%
Decimal Number 483
 
21.6%
Space Separator 448
 
20.0%
Dash Punctuation 83
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 108
 
8.8%
북 97
 
7.9%
리 83
 
6.8%
시 71
 
5.8%
군 69
 
5.6%
면 63
 
5.1%
산 52
 
4.2%
동 46
 
3.7%
읍 33
 
2.7%
주 32
 
2.6%
Other values (128) 573
46.7%
Decimal Number
ValueCountFrequency (%)
1 115
23.8%
5 54
11.2%
3 47
9.7%
6 45
 
9.3%
4 44
 
9.1%
7 42
 
8.7%
9 38
 
7.9%
2 35
 
7.2%
0 33
 
6.8%
8 30
 
6.2%
Space Separator
ValueCountFrequency (%)
448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1227
54.8%
Common 1014
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 108
 
8.8%
북 97
 
7.9%
리 83
 
6.8%
시 71
 
5.8%
군 69
 
5.6%
면 63
 
5.1%
산 52
 
4.2%
동 46
 
3.7%
읍 33
 
2.7%
주 32
 
2.6%
Other values (128) 573
46.7%
Common
ValueCountFrequency (%)
448
44.2%
1 115
 
11.3%
- 83
 
8.2%
5 54
 
5.3%
3 47
 
4.6%
6 45
 
4.4%
4 44
 
4.3%
7 42
 
4.1%
9 38
 
3.7%
2 35
 
3.5%
Other values (2) 63
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1227
54.8%
ASCII 1014
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
44.2%
1 115
 
11.3%
- 83
 
8.2%
5 54
 
5.3%
3 47
 
4.6%
6 45
 
4.4%
4 44
 
4.3%
7 42
 
4.1%
9 38
 
3.7%
2 35
 
3.5%
Other values (2) 63
 
6.2%
Hangul
ValueCountFrequency (%)
전 108
 
8.8%
북 97
 
7.9%
리 83
 
6.8%
시 71
 
5.8%
군 69
 
5.6%
면 63
 
5.1%
산 52
 
4.2%
동 46
 
3.7%
읍 33
 
2.7%
주 32
 
2.6%
Other values (128) 573
46.7%

전화번호
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T00:11:33.578466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1476
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

Unique123 ?
Unique (%)100.0%

Sample

1st row063-280-3831
2nd row063-250-4212
3rd row063-250-4271
4th row063-250-4272
5th row063-250-4273
ValueCountFrequency (%)
063-280-3831 1
 
0.8%
063-630-8291 1
 
0.8%
063-650-9294 1
 
0.8%
063-650-9293 1
 
0.8%
063-650-9292 1
 
0.8%
063-650-9291 1
 
0.8%
063-650-9272 1
 
0.8%
063-650-9271 1
 
0.8%
063-650-9212 1
 
0.8%
063-290-0294 1
 
0.8%
Other values (113) 113
91.9%
2023-12-13T00:11:33.971328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 255
17.3%
- 246
16.7%
3 202
13.7%
2 195
13.2%
6 171
11.6%
5 88
 
6.0%
9 80
 
5.4%
7 75
 
5.1%
4 64
 
4.3%
1 60
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1230
83.3%
Dash Punctuation 246
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 255
20.7%
3 202
16.4%
2 195
15.9%
6 171
13.9%
5 88
 
7.2%
9 80
 
6.5%
7 75
 
6.1%
4 64
 
5.2%
1 60
 
4.9%
8 40
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 255
17.3%
- 246
16.7%
3 202
13.7%
2 195
13.2%
6 171
11.6%
5 88
 
6.0%
9 80
 
5.4%
7 75
 
5.1%
4 64
 
4.3%
1 60
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 255
17.3%
- 246
16.7%
3 202
13.7%
2 195
13.2%
6 171
11.6%
5 88
 
6.0%
9 80
 
5.4%
7 75
 
5.1%
4 64
 
4.3%
1 60
 
4.1%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
구조구급과
123 

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 123
100.0%

Length

2023-12-13T00:11:34.115066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:34.209229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조구급과 123
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공개
123 

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 123
100.0%

Length

2023-12-13T00:11:34.302377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:34.384154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 123
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2020-03-01
123 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-01
2nd row2020-03-01
3rd row2020-03-01
4th row2020-03-01
5th row2020-03-01

Common Values

ValueCountFrequency (%)
2020-03-01 123
100.0%

Length

2023-12-13T00:11:34.467111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:34.546034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-01 123
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1년
123 

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 123
100.0%

Length

2023-12-13T00:11:34.628517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:11:34.712237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 123
100.0%

Interactions

2023-12-13T00:11:29.423519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:11:34.775491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분도로명주소지번주소
순번1.0000.9620.0000.9960.996
시군명0.9621.0000.0001.0001.000
구분0.0000.0001.0000.0000.000
도로명주소0.9961.0000.0001.0001.000
지번주소0.9961.0000.0001.0001.000
2023-12-13T00:11:34.857747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구분
시군명1.0000.000
구분0.0001.000
2023-12-13T00:11:34.930073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분
순번1.0000.8240.000
시군명0.8241.0000.000
구분0.0000.0001.000

Missing values

2023-12-13T00:11:29.575829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:11:29.732850image/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 1063-280-3831구조구급과공개2020-03-011년
12전주시소방서전주덕진소방서전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4212구조구급과공개2020-03-011년
23전주시119구조대전주덕진119구조대전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4271구조구급과공개2020-03-011년
34전주시119안전센터금암119안전센터전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4272구조구급과공개2020-03-011년
45전주시119안전센터팔복119안전센터전주시 덕진구 온고을로 430전주시 덕진구 만성동 359063-250-4273구조구급과공개2020-03-011년
56전주시119안전센터전미119안전센터전주시 덕진구 과학로 144전주시 덕진구 전미동 1가 593-9063-250-4274구조구급과공개2020-03-011년
67전주시119안전센터아중119안전센터전주시 덕진구 진버들4길 16전주시 덕진구 인후동1가 807-9063-250-4275구조구급과공개2020-03-011년
78전주시소방서전주완산소방서전북 전주시 완산구 거마평로 73전주시 완산구 효자동1가 670063-220-4212구조구급과공개2020-03-011년
89전주시119구조대전주완산119구조대전북 전주시 완산구 거마평로 73전주시 완산구 효자동1가 670063-220-4271구조구급과공개2020-03-011년
910전주시119안전센터효자119안전센터전북 전주시 완산구 거마평로 73전주시 완산구 효자동1가 670063-220-4272구조구급과공개2020-03-011년
순번시군명구분소방서명도로명주소지번주소전화번호자료출처공개여부작성일갱신주기
113114진안군119안전센터마령119안전센터진안군 마령면 임진로 2077-24전북 진안군 마령면 평지리 976-16063-350-6276구조구급과공개2020-03-011년
114115무주군119지역대안성119지역대전라북도 무주군 안성면 단지봉길 9전북 무주군 안성면 장기리 1554-6063-350-6291구조구급과공개2020-03-011년
115116진안군119지역대안천119지역대전라북도 진안군 진안읍 진무로 2998전북 진안군 안천면 노성리 714063-350-6292구조구급과공개2020-03-011년
116117진안군119지역대동향119지역대전라북도 진안군 동향면 하양지1길 2전북 진안군 동향면 대량리 640063-350-6293구조구급과공개2020-03-011년
117118무주군119지역대구천동119지역대전라북도 무주군 설천면 구천동1로 54전북 무주군 설천면 삼공리 418063-350-6294구조구급과공개2020-03-011년
118119무주군119지역대설천119지역대전라북도 무주군 무주읍 무설로 1607전북 무주군 설천면 소천리 903063-350-6295구조구급과공개2020-03-011년
119120장수군119지역대산서119지역대전라북도 장수군 장수읍 비행로 39-2전북 장수군 산서면 동화리 134-1063-350-6296구조구급과공개2020-03-011년
120121장수군119지역대번암119지역대전라북도 장수군 번암면 장수로 462전북 장수군 번암면 노단리 1179063-350-6297구조구급과공개2020-03-011년
121122진안군119지역대부귀119지역대전라북도 진안군 부귀면 부귀로 304-7전북 진안군 부귀면 거석리 947-9063-350-6298구조구급과공개2020-03-011년
122123진안군119지역대주천119지역대전라북도 진안군 주천면 동상주천로 2213전북 진안군 주천면 주양리 437-3063-350-6289구조구급과공개2020-03-011년