Overview

Dataset statistics

Number of variables11
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 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
소방서명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:36:03.163585
Analysis finished2024-03-14 02:36:03.835385
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T11:36:03.896942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2024-03-14T11:36:04.013065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
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 (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
익산시
15 
전주시
14 
군산시
14 
남원시
10 
정읍시
9 
Other values (9)
57 

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
12.6%
전주시 14
11.8%
군산시 14
11.8%
남원시 10
8.4%
정읍시 9
7.6%
완주군 8
 
6.7%
고창군 8
 
6.7%
부안군 8
 
6.7%
김제시 7
 
5.9%
장수군 6
 
5.0%
Other values (4) 20
16.8%

Length

2024-03-14T11:36:04.142787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산시 15
12.6%
전주시 14
11.8%
군산시 14
11.8%
남원시 10
8.4%
정읍시 9
7.6%
완주군 8
 
6.7%
고창군 8
 
6.7%
부안군 8
 
6.7%
김제시 7
 
5.9%
장수군 6
 
5.0%
Other values (4) 20
16.8%

구분
Categorical

Distinct6
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
119안전센터
51 
119지역대
47 
소방서
10 
119구조대
9 
전북소방본부
 
1

Length

Max length7
Median length6
Mean length6.1512605
Min length3

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
119안전센터 51
42.9%
119지역대 47
39.5%
소방서 10
 
8.4%
119구조대 9
 
7.6%
전북소방본부 1
 
0.8%
구조대 1
 
0.8%

Length

2024-03-14T11:36:04.240760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:04.364820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
119안전센터 51
42.9%
119지역대 47
39.5%
소방서 10
 
8.4%
119구조대 9
 
7.6%
전북소방본부 1
 
0.8%
구조대 1
 
0.8%

소방서명
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T11:36:04.629197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.2941176
Min length5

Characters and Unicode

Total characters987
Distinct characters124
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

Unique119 ?
Unique (%)100.0%

Sample

1st row전북소방본부
2nd row전주덕진소방서
3rd row전주덕진119구조대
4th row금암119안전센터
5th row아중119안전센터
ValueCountFrequency (%)
전북소방본부 1
 
0.8%
무장119안전센터 1
 
0.8%
고창소방서 1
 
0.8%
금구119지역대 1
 
0.8%
백구119지역대 1
 
0.8%
금산119안전센터 1
 
0.8%
만경119안전센터 1
 
0.8%
교동119안전센터(김제 1
 
0.8%
김제119구조대 1
 
0.8%
김제소방서 1
 
0.8%
Other values (109) 109
91.6%
2024-03-14T11:36:05.042427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 216
21.9%
9 108
 
10.9%
대 60
 
6.1%
전 57
 
5.8%
안 57
 
5.8%
터 51
 
5.2%
센 51
 
5.2%
지 50
 
5.1%
역 47
 
4.8%
구 15
 
1.5%
Other values (114) 275
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 661
67.0%
Decimal Number 324
32.8%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 60
 
9.1%
전 57
 
8.6%
안 57
 
8.6%
터 51
 
7.7%
센 51
 
7.7%
지 50
 
7.6%
역 47
 
7.1%
구 15
 
2.3%
서 15
 
2.3%
산 14
 
2.1%
Other values (110) 244
36.9%
Decimal Number
ValueCountFrequency (%)
1 216
66.7%
9 108
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
67.0%
Common 326
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 60
 
9.1%
전 57
 
8.6%
안 57
 
8.6%
터 51
 
7.7%
센 51
 
7.7%
지 50
 
7.6%
역 47
 
7.1%
구 15
 
2.3%
서 15
 
2.3%
산 14
 
2.1%
Other values (110) 244
36.9%
Common
ValueCountFrequency (%)
1 216
66.3%
9 108
33.1%
) 1
 
0.3%
( 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
67.0%
ASCII 326
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 216
66.3%
9 108
33.1%
) 1
 
0.3%
( 1
 
0.3%
Hangul
ValueCountFrequency (%)
대 60
 
9.1%
전 57
 
8.6%
안 57
 
8.6%
터 51
 
7.7%
센 51
 
7.7%
지 50
 
7.6%
역 47
 
7.1%
구 15
 
2.3%
서 15
 
2.3%
산 14
 
2.1%
Other values (110) 244
36.9%

도로명주소
Text

Distinct99
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T11:36:05.304394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14.87395
Min length10

Characters and Unicode

Total characters1770
Distinct characters165
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

Unique89 ?
Unique (%)74.8%

Sample

1st row전주시 완산구 효자로 225
2nd row전주시 덕진구 백제대로 611
3rd row전주시 덕진구 백제대로 611
4th row전주시 덕진구 백제대로 611
5th row전주시 덕진구 진버들4길 16
ValueCountFrequency (%)
익산시 15
 
3.3%
군산시 14
 
3.1%
전주시 14
 
3.1%
남원시 10
 
2.2%
정읍시 9
 
2.0%
고창군 8
 
1.8%
완주군 8
 
1.8%
완산구 8
 
1.8%
부안군 8
 
1.8%
김제시 7
 
1.6%
Other values (264) 348
77.5%
2024-03-14T11:36:05.683423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
18.6%
로 98
 
5.5%
1 81
 
4.6%
시 70
 
4.0%
군 65
 
3.7%
산 64
 
3.6%
면 63
 
3.6%
2 49
 
2.8%
3 49
 
2.8%
4 38
 
2.1%
Other values (155) 863
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1052
59.4%
Decimal Number 370
 
20.9%
Space Separator 330
 
18.6%
Dash Punctuation 17
 
1.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 98
 
9.3%
시 70
 
6.7%
군 65
 
6.2%
산 64
 
6.1%
면 63
 
6.0%
주 32
 
3.0%
읍 26
 
2.5%
구 22
 
2.1%
안 22
 
2.1%
길 21
 
2.0%
Other values (142) 569
54.1%
Decimal Number
ValueCountFrequency (%)
1 81
21.9%
2 49
13.2%
3 49
13.2%
4 38
10.3%
8 29
 
7.8%
6 27
 
7.3%
7 27
 
7.3%
0 24
 
6.5%
9 24
 
6.5%
5 22
 
5.9%
Space Separator
ValueCountFrequency (%)
330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1052
59.4%
Common 718
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 98
 
9.3%
시 70
 
6.7%
군 65
 
6.2%
산 64
 
6.1%
면 63
 
6.0%
주 32
 
3.0%
읍 26
 
2.5%
구 22
 
2.1%
안 22
 
2.1%
길 21
 
2.0%
Other values (142) 569
54.1%
Common
ValueCountFrequency (%)
330
46.0%
1 81
 
11.3%
2 49
 
6.8%
3 49
 
6.8%
4 38
 
5.3%
8 29
 
4.0%
6 27
 
3.8%
7 27
 
3.8%
0 24
 
3.3%
9 24
 
3.3%
Other values (3) 40
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1052
59.4%
ASCII 718
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
330
46.0%
1 81
 
11.3%
2 49
 
6.8%
3 49
 
6.8%
4 38
 
5.3%
8 29
 
4.0%
6 27
 
3.8%
7 27
 
3.8%
0 24
 
3.3%
9 24
 
3.3%
Other values (3) 40
 
5.6%
Hangul
ValueCountFrequency (%)
로 98
 
9.3%
시 70
 
6.7%
군 65
 
6.2%
산 64
 
6.1%
면 63
 
6.0%
주 32
 
3.0%
읍 26
 
2.5%
구 22
 
2.1%
안 22
 
2.1%
길 21
 
2.0%
Other values (142) 569
54.1%

지번주소
Text

Distinct99
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T11:36:06.030298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length15.798319
Min length9

Characters and Unicode

Total characters1880
Distinct characters149
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

Unique89 ?
Unique (%)74.8%

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 인후동1가 807-9
ValueCountFrequency (%)
익산시 15
 
3.3%
군산시 14
 
3.1%
전주시 14
 
3.1%
남원시 10
 
2.2%
정읍시 9
 
2.0%
부안군 8
 
1.8%
완주군 8
 
1.8%
고창군 8
 
1.8%
완산구 8
 
1.8%
김제시 7
 
1.6%
Other values (269) 348
77.5%
2024-03-14T11:36:06.433232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
17.6%
1 110
 
5.9%
- 79
 
4.2%
리 79
 
4.2%
시 71
 
3.8%
군 65
 
3.5%
면 63
 
3.4%
산 57
 
3.0%
5 52
 
2.8%
동 47
 
2.5%
Other values (139) 927
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
53.3%
Decimal Number 469
24.9%
Space Separator 330
 
17.6%
Dash Punctuation 79
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 79
 
7.9%
시 71
 
7.1%
군 65
 
6.5%
면 63
 
6.3%
산 57
 
5.7%
동 47
 
4.7%
주 30
 
3.0%
읍 28
 
2.8%
안 20
 
2.0%
구 19
 
1.9%
Other values (127) 523
52.2%
Decimal Number
ValueCountFrequency (%)
1 110
23.5%
5 52
11.1%
4 45
9.6%
6 45
9.6%
3 45
9.6%
7 37
 
7.9%
2 37
 
7.9%
9 34
 
7.2%
0 33
 
7.0%
8 31
 
6.6%
Space Separator
ValueCountFrequency (%)
330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1002
53.3%
Common 878
46.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 79
 
7.9%
시 71
 
7.1%
군 65
 
6.5%
면 63
 
6.3%
산 57
 
5.7%
동 47
 
4.7%
주 30
 
3.0%
읍 28
 
2.8%
안 20
 
2.0%
구 19
 
1.9%
Other values (127) 523
52.2%
Common
ValueCountFrequency (%)
330
37.6%
1 110
 
12.5%
- 79
 
9.0%
5 52
 
5.9%
4 45
 
5.1%
6 45
 
5.1%
3 45
 
5.1%
7 37
 
4.2%
2 37
 
4.2%
9 34
 
3.9%
Other values (2) 64
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1002
53.3%
ASCII 878
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
330
37.6%
1 110
 
12.5%
- 79
 
9.0%
5 52
 
5.9%
4 45
 
5.1%
6 45
 
5.1%
3 45
 
5.1%
7 37
 
4.2%
2 37
 
4.2%
9 34
 
3.9%
Other values (2) 64
 
7.3%
Hangul
ValueCountFrequency (%)
리 79
 
7.9%
시 71
 
7.1%
군 65
 
6.5%
면 63
 
6.3%
산 57
 
5.7%
동 47
 
4.7%
주 30
 
3.0%
읍 28
 
2.8%
안 20
 
2.0%
구 19
 
1.9%
Other values (127) 523
52.2%

전화번호
Text

Distinct117
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T11:36:06.625856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1428
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

Unique115 ?
Unique (%)96.6%

Sample

1st row063-280-3831
2nd row063-250-4212
3rd row063-250-4271
4th row063-250-4272
5th row063-250-4277
ValueCountFrequency (%)
063-570-1273 2
 
1.7%
063-450-0272 2
 
1.7%
063-570-1291 1
 
0.8%
063-280-3831 1
 
0.8%
063-560-1271 1
 
0.8%
063-560-1210 1
 
0.8%
063-540-4293 1
 
0.8%
063-540-4291 1
 
0.8%
063-540-4274 1
 
0.8%
063-540-4273 1
 
0.8%
Other values (107) 107
89.9%
2024-03-14T11:36:06.998338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
16.9%
- 238
16.7%
3 200
14.0%
2 178
12.5%
6 167
11.7%
7 90
 
6.3%
5 88
 
6.2%
4 70
 
4.9%
9 66
 
4.6%
1 57
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1190
83.3%
Dash Punctuation 238
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
20.3%
3 200
16.8%
2 178
15.0%
6 167
14.0%
7 90
 
7.6%
5 88
 
7.4%
4 70
 
5.9%
9 66
 
5.5%
1 57
 
4.8%
8 33
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
16.9%
- 238
16.7%
3 200
14.0%
2 178
12.5%
6 167
11.7%
7 90
 
6.3%
5 88
 
6.2%
4 70
 
4.9%
9 66
 
4.6%
1 57
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
16.9%
- 238
16.7%
3 200
14.0%
2 178
12.5%
6 167
11.7%
7 90
 
6.3%
5 88
 
6.2%
4 70
 
4.9%
9 66
 
4.6%
1 57
 
4.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
구조구급과
119 

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 119
100.0%

Length

2024-03-14T11:36:07.117965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:07.189252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조구급과 119
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공개
119 

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 119
100.0%

Length

2024-03-14T11:36:07.261090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:07.336039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 119
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2018.3
119 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018.3
2nd row2018.3
3rd row2018.3
4th row2018.3
5th row2018.3

Common Values

ValueCountFrequency (%)
2018.3 119
100.0%

Length

2024-03-14T11:36:07.412407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:07.481553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018.3 119
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1년
119 

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 119
100.0%

Length

2024-03-14T11:36:07.769964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:07.858725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 119
100.0%

Interactions

2024-03-14T11:36:03.578435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:36:07.937361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분도로명주소지번주소
순번1.0000.9340.0001.0001.000
시군명0.9341.0000.0001.0001.000
구분0.0000.0001.0000.0000.000
도로명주소1.0001.0000.0001.0001.000
지번주소1.0001.0000.0001.0001.000
2024-03-14T11:36:08.069301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구분
시군명1.0000.000
구분0.0001.000
2024-03-14T11:36:08.144796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명구분
순번1.0000.7310.000
시군명0.7311.0000.000
구분0.0000.0001.000

Missing values

2024-03-14T11:36:03.675453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:36:03.788810image/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 1063-280-3831구조구급과공개2018.31년
12전주시소방서전주덕진소방서전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4212구조구급과공개2018.31년
23전주시119구조대전주덕진119구조대전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4271구조구급과공개2018.31년
34전주시119안전센터금암119안전센터전주시 덕진구 백제대로 611전주시 덕진구 금암동 1548-11063-250-4272구조구급과공개2018.31년
45전주시119안전센터아중119안전센터전주시 덕진구 진버들4길 16전주시 덕진구 인후동1가 807-9063-250-4277구조구급과공개2018.31년
56전주시119안전센터팔복119안전센터전주시 덕진구 온고을로 430전주시 덕진구 만성동 359063-250-4273구조구급과공개2018.31년
67전주시119안전센터전미119안전센터전주시 덕진구 과학로 144전주시 덕진구 전미동1가 593-9063-250-4274구조구급과공개2018.31년
78완주군119안전센터삼례119안전센터완주군 삼례읍 삼례역로 27완주군 삼례읍 삼례리 1423-4063-250-4275구조구급과공개2018.31년
89완주군119안전센터봉동119안전센터완주군 봉동읍 완주산단5로 89완주군 봉동읍 용암리 813063-250-4276구조구급과공개2018.31년
910완주군119안전센터고산119안전센터완주군 고산면 고산로 49완주군 고산면 읍내리 860-2063-250-4278구조구급과공개2018.31년
순번시군명구분소방서명도로명주소지번주소전화번호자료출처공개여부작성일갱신주기
109110진안군119안전센터진안119안전센터진안군 진안읍 진무로 1179진안군 진안읍 군상리 246-1063-350-6273구조구급과공개2018.31년
110111진안군119안전센터마령119안전센터진안군 마령면 임진로 2077-24진안군 마령면 평지리 976-16063-350-6276구조구급과공개2018.31년
111112진안군119지역대안천119지역대진안군 안천면 진무로 2998진안군 안천면 노성리 714063-350-6292구조구급과공개2018.31년
112113진안군119지역대동향119지역대진안군 동향면 하양지1길 2진안군 동향면 대량리 640063-350-6293구조구급과공개2018.31년
113114진안군119지역대부귀119지역대진안군 부귀면 부귀로 304-7진안군 부귀면 거석리 947-9063-350-6298구조구급과공개2018.31년
114115진안군119지역대주천119지역대진안군 주천면 동상주천로 2213진안군 주천면 주양리 437-10063-350-6289구조구급과공개2018.31년
115116무주군119안전센터무주119안전센터무주군 무주읍 당산강변로 126무주군 무주읍 당산리 1765-22063-350-6274구조구급과공개2018.31년
116117무주군119지역대안성119지역대무주군 안성면 단지봉길 13무주군 안성면 장기리 1554-3063-350-6291구조구급과공개2018.31년
117118무주군119지역대구천동119지역대무주군 설천면 구천동1로 54무주군 설천면 삼공리 418063-350-6294구조구급과공개2018.31년
118119무주군119지역대설천119지역대무주군 설천면 무설로 1607무주군 설천면 소천리 903063-350-6295구조구급과공개2018.31년