Overview

Dataset statistics

Number of variables31
Number of observations464
Missing cells253
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory113.9 KiB
Average record size in memory251.3 B

Variable types

Numeric3
Text7
Categorical19
Boolean2

Dataset

Description2022년 해빙기 인천시 설치된 비상소화장치함 조사결과를 반영한 현황입니다, 조사주기는 연간2회 해빙기와 동절기 조사한 결과입니다.
URLhttps://www.data.go.kr/data/15105638/fileData.do

Alerts

시도명 has constant value ""Constant
보호틀유무 is highly imbalanced (65.4%)Imbalance
소방용수시설의 사용가능여부 is highly imbalanced (91.4%)Imbalance
소화전 형식 is highly imbalanced (80.5%)Imbalance
가압펌프설치유무 is highly imbalanced (69.7%)Imbalance
화재경계지구 지정여부 is highly imbalanced (52.0%)Imbalance
검정품 사용여부_장치함 is highly imbalanced (70.2%)Imbalance
검정품 사용여부_소방호스 is highly imbalanced (69.7%)Imbalance
검정품 사용여부_관창 is highly imbalanced (78.4%)Imbalance
비고(특이사항 등) is highly imbalanced (82.0%)Imbalance
소화전과 거리(미터)(분리형만 기입) has 251 (54.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:28:00.825713
Analysis finished2023-12-12 22:28:01.624845
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct464
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.5
Minimum1
Maximum464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T07:28:01.695443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.15
Q1116.75
median232.5
Q3348.25
95-th percentile440.85
Maximum464
Range463
Interquartile range (IQR)231.5

Descriptive statistics

Standard deviation134.08952
Coefficient of variation (CV)0.57672913
Kurtosis-1.2
Mean232.5
Median Absolute Deviation (MAD)116
Skewness0
Sum107880
Variance17980
MonotonicityStrictly increasing
2023-12-13T07:28:01.830438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
307 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
316 1
 
0.2%
315 1
 
0.2%
314 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
Other values (454) 454
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
464 1
0.2%
463 1
0.2%
462 1
0.2%
461 1
0.2%
460 1
0.2%
459 1
0.2%
458 1
0.2%
457 1
0.2%
456 1
0.2%
455 1
0.2%

시설번호(자체 관리번호)
Text

Distinct463
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:28:02.147468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9956897
Min length4

Characters and Unicode

Total characters2318
Distinct characters88
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

Unique462 ?
Unique (%)99.6%

Sample

1st row내가019
2nd row내가001
3rd row내가003
4th row내가004
5th row내가005
ValueCountFrequency (%)
도림002 2
 
0.4%
검소004 1
 
0.2%
신현002 1
 
0.2%
석남007 1
 
0.2%
원창002 1
 
0.2%
검암007 1
 
0.2%
검암006 1
 
0.2%
석남010 1
 
0.2%
검암005 1
 
0.2%
석남006 1
 
0.2%
Other values (453) 453
97.6%
2023-12-13T07:28:02.637177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 786
33.9%
1 171
 
7.4%
2 76
 
3.3%
3 75
 
3.2%
4 61
 
2.6%
6 57
 
2.5%
5 50
 
2.2%
7 47
 
2.0%
산 40
 
1.7%
앙 38
 
1.6%
Other values (78) 917
39.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1390
60.0%
Other Letter 928
40.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 40
 
4.3%
앙 38
 
4.1%
중 38
 
4.1%
석 36
 
3.9%
가 26
 
2.8%
기 26
 
2.8%
부 24
 
2.6%
림 24
 
2.6%
만 24
 
2.6%
신 23
 
2.5%
Other values (68) 629
67.8%
Decimal Number
ValueCountFrequency (%)
0 786
56.5%
1 171
 
12.3%
2 76
 
5.5%
3 75
 
5.4%
4 61
 
4.4%
6 57
 
4.1%
5 50
 
3.6%
7 47
 
3.4%
8 37
 
2.7%
9 30
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1390
60.0%
Hangul 928
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 40
 
4.3%
앙 38
 
4.1%
중 38
 
4.1%
석 36
 
3.9%
가 26
 
2.8%
기 26
 
2.8%
부 24
 
2.6%
림 24
 
2.6%
만 24
 
2.6%
신 23
 
2.5%
Other values (68) 629
67.8%
Common
ValueCountFrequency (%)
0 786
56.5%
1 171
 
12.3%
2 76
 
5.5%
3 75
 
5.4%
4 61
 
4.4%
6 57
 
4.1%
5 50
 
3.6%
7 47
 
3.4%
8 37
 
2.7%
9 30
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1390
60.0%
Hangul 928
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 786
56.5%
1 171
 
12.3%
2 76
 
5.5%
3 75
 
5.4%
4 61
 
4.4%
6 57
 
4.1%
5 50
 
3.6%
7 47
 
3.4%
8 37
 
2.7%
9 30
 
2.2%
Hangul
ValueCountFrequency (%)
산 40
 
4.3%
앙 38
 
4.1%
중 38
 
4.1%
석 36
 
3.9%
가 26
 
2.8%
기 26
 
2.8%
부 24
 
2.6%
림 24
 
2.6%
만 24
 
2.6%
신 23
 
2.5%
Other values (68) 629
67.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
인천광역시
464 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 464
100.0%

Length

2023-12-13T07:28:02.775278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:02.857591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 464
100.0%

시군구명
Categorical

Distinct11
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
중구
71 
부평구
64 
미추홀
59 
옹진군
45 
강화군
41 
Other values (6)
184 

Length

Max length4
Median length3
Mean length2.7090517
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
중구 71
15.3%
부평구 64
13.8%
미추홀 59
12.7%
옹진군 45
9.7%
강화군 41
8.8%
남동구 41
8.8%
계양구 39
8.4%
서구 39
8.4%
연수구 38
8.2%
동구 26
 
5.6%

Length

2023-12-13T07:28:02.963026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중구 71
15.3%
부평구 64
13.8%
미추홀 59
12.7%
옹진군 45
9.7%
강화군 41
8.8%
남동구 41
8.8%
계양구 40
8.6%
서구 39
8.4%
연수구 38
8.2%
동구 26
 
5.6%

시군구코드(법정동코드)
Real number (ℝ)

Distinct10
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28288.235
Minimum28110
Maximum28720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T07:28:03.091604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28110
5-th percentile28110
Q128177
median28200
Q328260
95-th percentile28720
Maximum28720
Range610
Interquartile range (IQR)83

Descriptive statistics

Standard deviation209.06638
Coefficient of variation (CV)0.007390577
Kurtosis0.37265685
Mean28288.235
Median Absolute Deviation (MAD)45
Skewness1.4355568
Sum13125741
Variance43708.75
MonotonicityNot monotonic
2023-12-13T07:28:03.204619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
28110 71
15.3%
28237 64
13.8%
28177 59
12.7%
28720 45
9.7%
28710 41
8.8%
28200 41
8.8%
28245 40
8.6%
28260 39
8.4%
28185 38
8.2%
28140 26
 
5.6%
ValueCountFrequency (%)
28110 71
15.3%
28140 26
 
5.6%
28177 59
12.7%
28185 38
8.2%
28200 41
8.8%
28237 64
13.8%
28245 40
8.6%
28260 39
8.4%
28710 41
8.8%
28720 45
9.7%
ValueCountFrequency (%)
28720 45
9.7%
28710 41
8.8%
28260 39
8.4%
28245 40
8.6%
28237 64
13.8%
28200 41
8.8%
28185 38
8.2%
28177 59
12.7%
28140 26
 
5.6%
28110 71
15.3%

소재지도로명주소
Text

Distinct458
Distinct (%)98.9%
Missing1
Missing (%)0.2%
Memory size3.8 KiB
2023-12-13T07:28:03.596275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length12.101512
Min length3

Characters and Unicode

Total characters5603
Distinct characters204
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique453 ?
Unique (%)97.8%

Sample

1st row 하점면 강화대로967번길 14
2nd row 서도면 대빈창길 15
3rd row 서도면 볼음도길131번길 2
4th row 서도면 볼음도길 175
5th row 서도면 볼음도길 388
ValueCountFrequency (%)
서도면 15
 
1.4%
자월면 13
 
1.2%
강화읍 13
 
1.2%
19 12
 
1.1%
31 11
 
1.0%
18 8
 
0.7%
14 8
 
0.7%
25 7
 
0.6%
4 7
 
0.6%
21 7
 
0.6%
Other values (717) 988
90.7%
2023-12-13T07:28:04.171846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1084
19.3%
로 405
 
7.2%
1 380
 
6.8%
길 364
 
6.5%
번 310
 
5.5%
2 260
 
4.6%
3 209
 
3.7%
4 189
 
3.4%
6 168
 
3.0%
5 159
 
2.8%
Other values (194) 2075
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2502
44.7%
Decimal Number 1860
33.2%
Space Separator 1084
19.3%
Dash Punctuation 146
 
2.6%
Close Punctuation 4
 
0.1%
Open Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 405
 
16.2%
길 364
 
14.5%
번 310
 
12.4%
도 55
 
2.2%
대 51
 
2.0%
면 50
 
2.0%
서 42
 
1.7%
화 39
 
1.6%
안 34
 
1.4%
동 33
 
1.3%
Other values (177) 1119
44.7%
Decimal Number
ValueCountFrequency (%)
1 380
20.4%
2 260
14.0%
3 209
11.2%
4 189
10.2%
6 168
9.0%
5 159
8.5%
9 134
 
7.2%
7 124
 
6.7%
8 119
 
6.4%
0 118
 
6.3%
Other Punctuation
ValueCountFrequency (%)
? 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
1084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3100
55.3%
Hangul 2502
44.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 405
 
16.2%
길 364
 
14.5%
번 310
 
12.4%
도 55
 
2.2%
대 51
 
2.0%
면 50
 
2.0%
서 42
 
1.7%
화 39
 
1.6%
안 34
 
1.4%
동 33
 
1.3%
Other values (177) 1119
44.7%
Common
ValueCountFrequency (%)
1084
35.0%
1 380
 
12.3%
2 260
 
8.4%
3 209
 
6.7%
4 189
 
6.1%
6 168
 
5.4%
5 159
 
5.1%
- 146
 
4.7%
9 134
 
4.3%
7 124
 
4.0%
Other values (6) 247
 
8.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3101
55.3%
Hangul 2502
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1084
35.0%
1 380
 
12.3%
2 260
 
8.4%
3 209
 
6.7%
4 189
 
6.1%
6 168
 
5.4%
5 159
 
5.1%
- 146
 
4.7%
9 134
 
4.3%
7 124
 
4.0%
Other values (7) 248
 
8.0%
Hangul
ValueCountFrequency (%)
로 405
 
16.2%
길 364
 
14.5%
번 310
 
12.4%
도 55
 
2.2%
대 51
 
2.0%
면 50
 
2.0%
서 42
 
1.7%
화 39
 
1.6%
안 34
 
1.4%
동 33
 
1.3%
Other values (177) 1119
44.7%

소재지지번주소
Text

Distinct458
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:28:04.735421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length10.706897
Min length7

Characters and Unicode

Total characters4968
Distinct characters143
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

Unique453 ?
Unique (%)97.6%

Sample

1st row 하점면 부근리 300-1
2nd row 서도면 주문도리 858
3rd row 서도면 볼음도리 183
4th row 서도면 볼음도리 261-1
5th row 서도면 볼음도리 918
ValueCountFrequency (%)
부평동 22
 
2.2%
주안동 20
 
2.0%
연수동 17
 
1.7%
강화읍 14
 
1.4%
송림동 13
 
1.3%
자월면 13
 
1.3%
효성동 12
 
1.2%
산곡동 11
 
1.1%
숭의동 11
 
1.1%
서도면 11
 
1.1%
Other values (587) 842
85.4%
2023-12-13T07:28:05.126181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
960
19.3%
1 398
 
8.0%
동 382
 
7.7%
- 373
 
7.5%
3 235
 
4.7%
2 224
 
4.5%
4 184
 
3.7%
5 176
 
3.5%
8 158
 
3.2%
6 154
 
3.1%
Other values (133) 1724
34.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1943
39.1%
Other Letter 1692
34.1%
Space Separator 960
19.3%
Dash Punctuation 373
 
7.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 382
22.6%
리 86
 
5.1%
면 69
 
4.1%
도 51
 
3.0%
산 38
 
2.2%
청 35
 
2.1%
평 33
 
2.0%
부 31
 
1.8%
연 30
 
1.8%
가 30
 
1.8%
Other values (121) 907
53.6%
Decimal Number
ValueCountFrequency (%)
1 398
20.5%
3 235
12.1%
2 224
11.5%
4 184
9.5%
5 176
9.1%
8 158
 
8.1%
6 154
 
7.9%
7 146
 
7.5%
9 135
 
6.9%
0 133
 
6.8%
Space Separator
ValueCountFrequency (%)
960
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3276
65.9%
Hangul 1692
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 382
22.6%
리 86
 
5.1%
면 69
 
4.1%
도 51
 
3.0%
산 38
 
2.2%
청 35
 
2.1%
평 33
 
2.0%
부 31
 
1.8%
연 30
 
1.8%
가 30
 
1.8%
Other values (121) 907
53.6%
Common
ValueCountFrequency (%)
960
29.3%
1 398
12.1%
- 373
 
11.4%
3 235
 
7.2%
2 224
 
6.8%
4 184
 
5.6%
5 176
 
5.4%
8 158
 
4.8%
6 154
 
4.7%
7 146
 
4.5%
Other values (2) 268
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3276
65.9%
Hangul 1692
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
960
29.3%
1 398
12.1%
- 373
 
11.4%
3 235
 
7.2%
2 224
 
6.8%
4 184
 
5.6%
5 176
 
5.4%
8 158
 
4.8%
6 154
 
4.7%
7 146
 
4.5%
Other values (2) 268
 
8.2%
Hangul
ValueCountFrequency (%)
동 382
22.6%
리 86
 
5.1%
면 69
 
4.1%
도 51
 
3.0%
산 38
 
2.2%
청 35
 
2.1%
평 33
 
2.0%
부 31
 
1.8%
연 30
 
1.8%
가 30
 
1.8%
Other values (121) 907
53.6%

위도
Text

Distinct454
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:28:05.417472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length9
Mean length8.9806034
Min length7

Characters and Unicode

Total characters4167
Distinct characters12
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

Unique444 ?
Unique (%)95.7%

Sample

1st row37.770117
2nd row37.651534
3rd row37.670145
4th row37.669626
5th row37.674645
ValueCountFrequency (%)
37.465696 2
 
0.4%
37.373171 2
 
0.4%
37.436874 2
 
0.4%
37.373214 2
 
0.4%
37.503082 2
 
0.4%
37.466096 2
 
0.4%
37.482678 2
 
0.4%
37.47145 2
 
0.4%
37.383039 2
 
0.4%
37.373278 2
 
0.4%
Other values (444) 444
95.7%
2023-12-13T07:28:05.813176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 777
18.6%
3 707
17.0%
4 505
12.1%
. 464
11.1%
5 341
8.2%
6 268
 
6.4%
1 258
 
6.2%
8 255
 
6.1%
2 250
 
6.0%
9 191
 
4.6%
Other values (2) 151
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3702
88.8%
Other Punctuation 465
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 777
21.0%
3 707
19.1%
4 505
13.6%
5 341
9.2%
6 268
 
7.2%
1 258
 
7.0%
8 255
 
6.9%
2 250
 
6.8%
9 191
 
5.2%
0 150
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 464
99.8%
? 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 777
18.6%
3 707
17.0%
4 505
12.1%
. 464
11.1%
5 341
8.2%
6 268
 
6.4%
1 258
 
6.2%
8 255
 
6.1%
2 250
 
6.0%
9 191
 
4.6%
Other values (2) 151
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 777
18.6%
3 707
17.0%
4 505
12.1%
. 464
11.1%
5 341
8.2%
6 268
 
6.4%
1 258
 
6.2%
8 255
 
6.1%
2 250
 
6.0%
9 191
 
4.6%
Other values (2) 151
 
3.6%

경도
Text

Distinct452
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:28:06.181000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.924569
Min length7

Characters and Unicode

Total characters4605
Distinct characters12
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

Unique440 ?
Unique (%)94.8%

Sample

1st row126.437545
2nd row126.237903
3rd row126.187605
4th row126.19774
5th row126.177541
ValueCountFrequency (%)
126.717178 2
 
0.4%
126.442987 2
 
0.4%
126.408269 2
 
0.4%
126.738731 2
 
0.4%
126.445096 2
 
0.4%
126.442113 2
 
0.4%
126.620651 2
 
0.4%
126.663462 2
 
0.4%
126.6296 2
 
0.4%
126.221964 2
 
0.4%
Other values (442) 444
95.7%
2023-12-13T07:28:06.634774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 914
19.8%
1 742
16.1%
2 714
15.5%
. 464
10.1%
7 388
8.4%
4 281
 
6.1%
3 245
 
5.3%
9 228
 
5.0%
5 222
 
4.8%
8 217
 
4.7%
Other values (2) 190
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4140
89.9%
Other Punctuation 465
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 914
22.1%
1 742
17.9%
2 714
17.2%
7 388
9.4%
4 281
 
6.8%
3 245
 
5.9%
9 228
 
5.5%
5 222
 
5.4%
8 217
 
5.2%
0 189
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 464
99.8%
? 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 914
19.8%
1 742
16.1%
2 714
15.5%
. 464
10.1%
7 388
8.4%
4 281
 
6.1%
3 245
 
5.3%
9 228
 
5.0%
5 222
 
4.8%
8 217
 
4.7%
Other values (2) 190
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 914
19.8%
1 742
16.1%
2 714
15.5%
. 464
10.1%
7 388
8.4%
4 281
 
6.1%
3 245
 
5.3%
9 228
 
5.0%
5 222
 
4.8%
8 217
 
4.7%
Other values (2) 190
 
4.1%

상세위치
Text

Distinct442
Distinct (%)95.5%
Missing1
Missing (%)0.2%
Memory size3.8 KiB
2023-12-13T07:28:06.907996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length24
Mean length9.5334773
Min length3

Characters and Unicode

Total characters4414
Distinct characters390
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

Unique431 ?
Unique (%)93.1%

Sample

1st row삼현제약 앞
2nd row어민회관 우측
3rd row첫집 민박
4th row삼도농협
5th row볼음2리마을회관
ValueCountFrequency (%)
앞 139
 
12.9%
부평구 53
 
4.9%
인천광역시 51
 
4.7%
옆 34
 
3.2%
입구 14
 
1.3%
맞은편 13
 
1.2%
주택 11
 
1.0%
정문 7
 
0.6%
우측 7
 
0.6%
댁 6
 
0.6%
Other values (636) 743
68.9%
2023-12-13T07:28:07.332249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
625
 
14.2%
앞 160
 
3.6%
로 87
 
2.0%
구 85
 
1.9%
인 81
 
1.8%
1 79
 
1.8%
부 76
 
1.7%
동 73
 
1.7%
시 71
 
1.6%
천 67
 
1.5%
Other values (380) 3010
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3349
75.9%
Space Separator 625
 
14.2%
Decimal Number 371
 
8.4%
Dash Punctuation 22
 
0.5%
Uppercase Letter 18
 
0.4%
Lowercase Letter 14
 
0.3%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 160
 
4.8%
로 87
 
2.6%
구 85
 
2.5%
인 81
 
2.4%
부 76
 
2.3%
동 73
 
2.2%
시 71
 
2.1%
천 67
 
2.0%
장 61
 
1.8%
주 59
 
1.8%
Other values (349) 2529
75.5%
Decimal Number
ValueCountFrequency (%)
1 79
21.3%
2 54
14.6%
3 51
13.7%
4 30
 
8.1%
8 29
 
7.8%
6 28
 
7.5%
0 27
 
7.3%
5 26
 
7.0%
9 25
 
6.7%
7 22
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
M 4
22.2%
B 3
16.7%
A 3
16.7%
C 2
11.1%
H 1
 
5.6%
O 1
 
5.6%
K 1
 
5.6%
S 1
 
5.6%
G 1
 
5.6%
Y 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
m 6
42.9%
o 3
21.4%
k 2
 
14.3%
t 1
 
7.1%
u 1
 
7.1%
c 1
 
7.1%
Space Separator
ValueCountFrequency (%)
625
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3350
75.9%
Common 1032
 
23.4%
Latin 32
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 160
 
4.8%
로 87
 
2.6%
구 85
 
2.5%
인 81
 
2.4%
부 76
 
2.3%
동 73
 
2.2%
시 71
 
2.1%
천 67
 
2.0%
장 61
 
1.8%
주 59
 
1.8%
Other values (350) 2530
75.5%
Latin
ValueCountFrequency (%)
m 6
18.8%
M 4
12.5%
o 3
9.4%
B 3
9.4%
A 3
9.4%
k 2
 
6.2%
C 2
 
6.2%
H 1
 
3.1%
t 1
 
3.1%
O 1
 
3.1%
Other values (6) 6
18.8%
Common
ValueCountFrequency (%)
625
60.6%
1 79
 
7.7%
2 54
 
5.2%
3 51
 
4.9%
4 30
 
2.9%
8 29
 
2.8%
6 28
 
2.7%
0 27
 
2.6%
5 26
 
2.5%
9 25
 
2.4%
Other values (4) 58
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3349
75.9%
ASCII 1064
 
24.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
625
58.7%
1 79
 
7.4%
2 54
 
5.1%
3 51
 
4.8%
4 30
 
2.8%
8 29
 
2.7%
6 28
 
2.6%
0 27
 
2.5%
5 26
 
2.4%
9 25
 
2.3%
Other values (20) 90
 
8.5%
Hangul
ValueCountFrequency (%)
앞 160
 
4.8%
로 87
 
2.6%
구 85
 
2.5%
인 81
 
2.4%
부 76
 
2.3%
동 73
 
2.2%
시 71
 
2.1%
천 67
 
2.0%
장 61
 
1.8%
주 59
 
1.8%
Other values (349) 2529
75.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

안전센터명
Text

Distinct52
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2023-12-13T07:28:07.576794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length9.1939655
Min length9

Characters and Unicode

Total characters4266
Distinct characters84
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)1.5%

Sample

1st row내가119안전센터
2nd row내가119안전센터
3rd row내가119안전센터
4th row내가119안전센터
5th row내가119안전센터
ValueCountFrequency (%)
중앙119안전센터 60
 
12.5%
내가119안전센터 22
 
4.6%
산곡119안전센터 21
 
4.4%
신기119안전센터 18
 
3.8%
동춘119안전센터 18
 
3.8%
효성119안전센터 17
 
3.5%
용유119안전센터 16
 
3.3%
만석119안전센터 16
 
3.3%
부평119안전센터 15
 
3.1%
강화119안전센터 14
 
2.9%
Other values (42) 262
54.7%
2023-12-13T07:28:07.984967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 928
21.8%
안 475
11.1%
전 469
11.0%
9 464
10.9%
센 464
10.9%
터 464
10.9%
중 60
 
1.4%
앙 60
 
1.4%
산 40
 
0.9%
석 36
 
0.8%
Other values (74) 806
18.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2859
67.0%
Decimal Number 1392
32.6%
Space Separator 15
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 475
16.6%
전 469
16.4%
센 464
16.2%
터 464
16.2%
중 60
 
2.1%
앙 60
 
2.1%
산 40
 
1.4%
석 36
 
1.3%
가 26
 
0.9%
기 26
 
0.9%
Other values (71) 739
25.8%
Decimal Number
ValueCountFrequency (%)
1 928
66.7%
9 464
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2859
67.0%
Common 1407
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 475
16.6%
전 469
16.4%
센 464
16.2%
터 464
16.2%
중 60
 
2.1%
앙 60
 
2.1%
산 40
 
1.4%
석 36
 
1.3%
가 26
 
0.9%
기 26
 
0.9%
Other values (71) 739
25.8%
Common
ValueCountFrequency (%)
1 928
66.0%
9 464
33.0%
15
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2859
67.0%
ASCII 1407
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 928
66.0%
9 464
33.0%
15
 
1.1%
Hangul
ValueCountFrequency (%)
안 475
16.6%
전 469
16.4%
센 464
16.2%
터 464
16.2%
중 60
 
2.1%
앙 60
 
2.1%
산 40
 
1.4%
석 36
 
1.3%
가 26
 
0.9%
기 26
 
0.9%
Other values (71) 739
25.8%

보호틀유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
False
434 
True
 
30
ValueCountFrequency (%)
False 434
93.5%
True 30
 
6.5%
2023-12-13T07:28:08.123111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소방용수시설의 사용가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
True
459 
False
 
5
ValueCountFrequency (%)
True 459
98.9%
False 5
 
1.1%
2023-12-13T07:28:08.205557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설치연도
Categorical

Distinct36
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2019
69 
2017
42 
2022
39 
2016
 
25
2020
 
23
Other values (31)
266 

Length

Max length4
Median length4
Mean length3.9827586
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row2018
2nd row2008
3rd row2008
4th row2008
5th row2008

Common Values

ValueCountFrequency (%)
2019 69
 
14.9%
2017 42
 
9.1%
2022 39
 
8.4%
2016 25
 
5.4%
2020 23
 
5.0%
2021 19
 
4.1%
2011 17
 
3.7%
2001 16
 
3.4%
2010 16
 
3.4%
2013 16
 
3.4%
Other values (26) 182
39.2%

Length

2023-12-13T07:28:08.315634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2019 69
 
14.9%
2017 42
 
9.1%
2022 39
 
8.4%
2016 25
 
5.4%
2020 23
 
5.0%
2021 19
 
4.1%
2011 17
 
3.7%
2000 16
 
3.4%
2013 16
 
3.4%
2010 16
 
3.4%
Other values (26) 182
39.2%

관할소방서명
Categorical

Distinct10
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
중부소방서
106 
부평소방서
64 
미추홀소방서
59 
공단소방서
49 
강화소방서
41 
Other values (5)
145 

Length

Max length6
Median length5
Mean length5.1271552
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중부소방서 106
22.8%
부평소방서 64
13.8%
미추홀소방서 59
12.7%
공단소방서 49
10.6%
강화소방서 41
 
8.8%
계양소방서 40
 
8.6%
서부소방서 39
 
8.4%
남동소방서 30
 
6.5%
영종소방서 29
 
6.2%
송도소방서 7
 
1.5%

Length

2023-12-13T07:28:08.469123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:08.593284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부소방서 106
22.8%
부평소방서 64
13.8%
미추홀소방서 59
12.7%
공단소방서 49
10.6%
강화소방서 41
 
8.8%
계양소방서 40
 
8.6%
서부소방서 39
 
8.4%
남동소방서 30
 
6.5%
영종소방서 29
 
6.2%
송도소방서 7
 
1.5%

관할소방서전화번호
Categorical

Distinct16
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
032-870-5163
106 
032-723-5360
64 
032-723-5562
48 
032-930-5873
41 
032-650-5616
40 
Other values (11)
165 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row032-930-5873
2nd row032-930-5873
3rd row032-930-5873
4th row032-930-5873
5th row032-930-5873

Common Values

ValueCountFrequency (%)
032-870-5163 106
22.8%
032-723-5360 64
13.8%
032-723-5562 48
10.3%
032-930-5873 41
 
8.8%
032-650-5616 40
 
8.6%
032-870-3253 39
 
8.4%
032-723-5471 39
 
8.4%
032-870-5273 30
 
6.5%
032-727-6152 29
 
6.2%
032-870-3456 8
 
1.7%
Other values (6) 20
 
4.3%

Length

2023-12-13T07:28:08.739551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
032-870-5163 106
22.8%
032-723-5360 64
13.8%
032-723-5562 48
10.3%
032-930-5873 41
 
8.8%
032-650-5616 40
 
8.6%
032-870-3253 39
 
8.4%
032-723-5471 39
 
8.4%
032-870-5273 30
 
6.5%
032-727-6152 29
 
6.2%
032-870-3456 8
 
1.7%
Other values (6) 20
 
4.3%

지역구분_대분류
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
주거지역
266 
상업지역
93 
농어촌·도서지역
60 
공업지역
40 
산림인접마을
 
3

Length

Max length8
Median length4
Mean length4.5301724
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공업지역
2nd row농어촌·도서지역
3rd row농어촌·도서지역
4th row농어촌·도서지역
5th row농어촌·도서지역

Common Values

ValueCountFrequency (%)
주거지역 266
57.3%
상업지역 93
 
20.0%
농어촌·도서지역 60
 
12.9%
공업지역 40
 
8.6%
산림인접마을 3
 
0.6%
보전지역 2
 
0.4%

Length

2023-12-13T07:28:08.892757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:09.027283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거지역 266
57.3%
상업지역 93
 
20.0%
농어촌·도서지역 60
 
12.9%
공업지역 40
 
8.6%
산림인접마을 3
 
0.6%
보전지역 2
 
0.4%

지역구분_소분류
Categorical

Distinct15
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
기타주거지역
194 
전통시장
61 
도서지역
53 
영세밀집
42 
고지대
30 
Other values (10)
84 

Length

Max length8
Median length7
Mean length5.1530172
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row공업단지
2nd row도서지역
3rd row도서지역
4th row도서지역
5th row도서지역

Common Values

ValueCountFrequency (%)
기타주거지역 194
41.8%
전통시장 61
 
13.1%
도서지역 53
 
11.4%
영세밀집 42
 
9.1%
고지대 30
 
6.5%
기타상업지역 30
 
6.5%
소규모 공장밀집 21
 
4.5%
소규모공장밀집 9
 
1.9%
공업단지 8
 
1.7%
어촌지역 6
 
1.3%
Other values (5) 10
 
2.2%

Length

2023-12-13T07:28:09.178694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타주거지역 194
40.0%
전통시장 61
 
12.6%
도서지역 53
 
10.9%
영세밀집 42
 
8.7%
고지대 30
 
6.2%
기타상업지역 30
 
6.2%
소규모 21
 
4.3%
공장밀집 21
 
4.3%
소규모공장밀집 9
 
1.9%
공업단지 8
 
1.6%
Other values (6) 16
 
3.3%

소화전 연결방식(일체형, 분리형)
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
일체형
255 
분리형
203 
분리형
 
6

Length

Max length5
Median length3
Mean length3.0258621
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일체형 255
55.0%
분리형 203
43.8%
분리형 6
 
1.3%

Length

2023-12-13T07:28:09.320779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:09.430981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일체형 255
55.0%
분리형 209
45.0%

소화전 형식
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
지상식
450 
지하식
 
14

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지상식 450
97.0%
지하식 14
 
3.0%

Length

2023-12-13T07:28:09.522611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:09.611488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지상식 450
97.0%
지하식 14
 
3.0%

소화전과 거리(미터)(분리형만 기입)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)8.9%
Missing251
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean2.4446009
Minimum0.1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-13T07:28:09.705849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q11
median1
Q32
95-th percentile7
Maximum30
Range29.9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.8970637
Coefficient of variation (CV)1.5941513
Kurtosis27.180018
Mean2.4446009
Median Absolute Deviation (MAD)0
Skewness4.7453766
Sum520.7
Variance15.187105
MonotonicityNot monotonic
2023-12-13T07:28:09.817430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.0 129
27.8%
2.0 25
 
5.4%
5.0 13
 
2.8%
3.0 9
 
1.9%
0.5 8
 
1.7%
7.0 7
 
1.5%
10.0 3
 
0.6%
0.3 3
 
0.6%
6.0 3
 
0.6%
4.0 3
 
0.6%
Other values (9) 10
 
2.2%
(Missing) 251
54.1%
ValueCountFrequency (%)
0.1 1
 
0.2%
0.2 1
 
0.2%
0.3 3
 
0.6%
0.5 8
 
1.7%
1.0 129
27.8%
1.5 1
 
0.2%
2.0 25
 
5.4%
3.0 9
 
1.9%
4.0 3
 
0.6%
5.0 13
 
2.8%
ValueCountFrequency (%)
30.0 2
 
0.4%
22.0 1
 
0.2%
20.0 1
 
0.2%
15.0 1
 
0.2%
10.0 3
 
0.6%
9.0 1
 
0.2%
8.0 1
 
0.2%
7.0 7
1.5%
6.0 3
 
0.6%
5.0 13
2.8%

호스 종류(일반수관, 릴호스, 복합형)
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
릴호스
252 
일반수관
199 
호스릴
 
9
복합형
 
4

Length

Max length4
Median length3
Mean length3.4288793
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
릴호스 252
54.3%
일반수관 199
42.9%
호스릴 9
 
1.9%
복합형 4
 
0.9%

Length

2023-12-13T07:28:09.945958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:10.070062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
릴호스 252
54.3%
일반수관 199
42.9%
호스릴 9
 
1.9%
복합형 4
 
0.9%

픽토그램 사용법 설치유무
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
유
323 
무
141 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유 323
69.6%
무 141
30.4%

Length

2023-12-13T07:28:10.169219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:10.243815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유 323
69.6%
무 141
30.4%

가압펌프설치유무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
무
439 
유
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무 439
94.6%
유 25
 
5.4%

Length

2023-12-13T07:28:10.325324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:10.404598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무 439
94.6%
유 25
 
5.4%

설치주체
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
소방기관
332 
인천광역시
95 
상수도사업소
35 
지자체
 
2

Length

Max length6
Median length4
Mean length4.3512931
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소방기관
2nd row상수도사업소
3rd row소방기관
4th row소방기관
5th row소방기관

Common Values

ValueCountFrequency (%)
소방기관 332
71.6%
인천광역시 95
 
20.5%
상수도사업소 35
 
7.5%
지자체 2
 
0.4%

Length

2023-12-13T07:28:10.499184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:10.590746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소방기관 332
71.6%
인천광역시 95
 
20.5%
상수도사업소 35
 
7.5%
지자체 2
 
0.4%

화재경계지구 지정여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미지정
416 
지정
48 

Length

Max length3
Median length3
Mean length2.8965517
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미지정 416
89.7%
지정 48
 
10.3%

Length

2023-12-13T07:28:10.688974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:10.780575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미지정 416
89.7%
지정 48
 
10.3%

검정품 사용여부_장치함
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
○
416 
O
 
24
<NA>
 
23
X
 
1

Length

Max length4
Median length1
Mean length1.1487069
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row○
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 416
89.7%
O 24
 
5.2%
<NA> 23
 
5.0%
X 1
 
0.2%

Length

2023-12-13T07:28:10.875180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:10.967795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 416
89.7%
o 24
 
5.2%
na 23
 
5.0%
x 1
 
0.2%

검정품 사용여부_소방호스
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
○
439 
O
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 439
94.6%
O 25
 
5.4%

Length

2023-12-13T07:28:11.070210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:11.149656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 439
94.6%
o 25
 
5.4%

검정품 사용여부_관창
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
○
437 
O
 
25
<NA>
 
2

Length

Max length4
Median length1
Mean length1.012931
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 437
94.2%
O 25
 
5.4%
<NA> 2
 
0.4%

Length

2023-12-13T07:28:11.245371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:11.327317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 437
94.2%
o 25
 
5.4%
na 2
 
0.4%

예규 시행('18.6.27.) 이후 설치 여부
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
시행이전
293 
시행이후
171 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시행이전 293
63.1%
시행이후 171
36.9%

Length

2023-12-13T07:28:11.407288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:11.484257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시행이전 293
63.1%
시행이후 171
36.9%

비고(특이사항 등)
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
429 
2022년 신설
 
19
임시폐쇄
 
5
이설
 
4
신설(재개발 후 신설)
 
4
Other values (3)
 
3

Length

Max length17
Median length4
Mean length4.2693966
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 429
92.5%
2022년 신설 19
 
4.1%
임시폐쇄 5
 
1.1%
이설 4
 
0.9%
신설(재개발 후 신설) 4
 
0.9%
2022년 수리(폐기후 재사용) 1
 
0.2%
2019년 이전설치 1
 
0.2%
2018년 이전설치 1
 
0.2%

Length

2023-12-13T07:28:11.569896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:11.669718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 429
86.7%
신설 23
 
4.6%
2022년 20
 
4.0%
임시폐쇄 5
 
1.0%
이설 4
 
0.8%
신설(재개발 4
 
0.8%
후 4
 
0.8%
이전설치 2
 
0.4%
수리(폐기후 1
 
0.2%
재사용 1
 
0.2%
Other values (2) 2
 
0.4%

Sample

연번시설번호(자체 관리번호)시도명시군구명시군구코드(법정동코드)소재지도로명주소소재지지번주소위도경도상세위치안전센터명보호틀유무소방용수시설의 사용가능여부설치연도관할소방서명관할소방서전화번호지역구분_대분류지역구분_소분류소화전 연결방식(일체형, 분리형)소화전 형식소화전과 거리(미터)(분리형만 기입)호스 종류(일반수관, 릴호스, 복합형)픽토그램 사용법 설치유무가압펌프설치유무설치주체화재경계지구 지정여부검정품 사용여부_장치함검정품 사용여부_소방호스검정품 사용여부_관창예규 시행('18.6.27.) 이후 설치 여부비고(특이사항 등)
01내가019인천광역시강화군28710하점면 강화대로967번길 14하점면 부근리 300-137.770117126.437545삼현제약 앞내가119안전센터NY2018강화소방서032-930-5873공업지역공업단지분리형지상식1.0일반수관무무소방기관미지정○○○시행이전<NA>
12내가001인천광역시강화군28710서도면 대빈창길 15서도면 주문도리 85837.651534126.237903어민회관 우측내가119안전센터NY2008강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관무무상수도사업소미지정○○○시행이전<NA>
23내가003인천광역시강화군28710서도면 볼음도길131번길 2서도면 볼음도리 18337.670145126.187605첫집 민박내가119안전센터NY2008강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관무무소방기관미지정○○○시행이전<NA>
34내가004인천광역시강화군28710서도면 볼음도길 175서도면 볼음도리 261-137.669626126.19774삼도농협내가119안전센터NY2008강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관무무소방기관미지정○○○시행이전<NA>
45내가005인천광역시강화군28710서도면 볼음도길 388서도면 볼음도리 91837.674645126.177541볼음2리마을회관내가119안전센터NY2008강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관무무소방기관미지정○○○시행이전<NA>
56내가006인천광역시강화군28710서도면 주문도길 316서도면 주문도리 533-537.641628126.244314창고 앞내가119안전센터NY2016강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관유무상수도사업소미지정○○○시행이전<NA>
67내가007인천광역시강화군28710서도면 주문도1길6번길주문리 58137.650745126.241331주문2리 경로당 옆내가119안전센터NY2016강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관무무상수도사업소미지정○○○시행이전<NA>
78내가011인천광역시강화군28710서도면 아차도길 127서도면 아차도리 2537.660159126.228201다목적회관 앞내가119안전센터NY2017강화소방서032-930-5873농어촌·도서지역도서지역분리형지상식1.0일반수관무무상수도사업소미지정○○○시행이전<NA>
89내가009인천광역시강화군28710삼산면 삼산남로 828번길 44삼산면 매음리 62937.688698126.321477보문사 종무소내가119안전센터NY2017강화소방서032-930-5873보전지역문화재분리형지상식0.5일반수관무무상수도사업소미지정○○○시행이전<NA>
910강화001인천광역시강화군28710강화읍 청하동길 9번길 10강화읍 신문리 241-6137.747668126.481999순두부 가게강화119안전센터NY2008강화소방서032-930-5873상업지역전통시장분리형지상식1.0일반수관무무소방기관미지정○○○시행이전<NA>
연번시설번호(자체 관리번호)시도명시군구명시군구코드(법정동코드)소재지도로명주소소재지지번주소위도경도상세위치안전센터명보호틀유무소방용수시설의 사용가능여부설치연도관할소방서명관할소방서전화번호지역구분_대분류지역구분_소분류소화전 연결방식(일체형, 분리형)소화전 형식소화전과 거리(미터)(분리형만 기입)호스 종류(일반수관, 릴호스, 복합형)픽토그램 사용법 설치유무가압펌프설치유무설치주체화재경계지구 지정여부검정품 사용여부_장치함검정품 사용여부_소방호스검정품 사용여부_관창예규 시행('18.6.27.) 이후 설치 여부비고(특이사항 등)
454455중앙039인천광역시중구28110신포로 46번길 19내동 84-337.47244126.6273신포공영주차장중앙119안전센터NY2020중부소방서032-870-5163주거지역기타주거지역일체형지상식<NA>릴호스무무소방기관미지정○○○시행이후<NA>
455456대청001인천광역시옹진군28720대청로7번길 7대청면 대청리 38337.8245315124.715003경찰파출소 앞백령119안전센터 대청지역대NY2016중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스유유소방기관미지정○○○시행이전<NA>
456457대청002인천광역시옹진군28720대청남로86번길 68대청면 대청리 14037.8171614124.708296경로당백령119안전센터 대청지역대NY2016중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스유유소방기관미지정○○○시행이전<NA>
457458대청003인천광역시옹진군28720대청남로 505-20대청면 대청리 1267-1137.8130579124.686799골목 끝백령119안전센터 대청지역대NY2016중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스유유소방기관미지정○○○시행이전<NA>
458459자월068인천광역시옹진군28720자월면 대이작로70번길58자월면 이작리 65137.175855126.255071하늘정원펜션중앙119안전센터NY2015중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스무유소방기관미지정○○○시행이전<NA>
459460자월070인천광역시옹진군28720자월면 소이작로307번길 26자월면 이작리 83137.185461126.221964신성원룸중앙119안전센터NY2015중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스무유상수도사업소미지정○○○시행이전<NA>
460461자월074인천광역시옹진군28720자월면 자월서로 190자월면 자월리산301-137.267947126.293015노블하우스 앞중앙119안전센터YY2017중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스무유소방기관미지정○○○시행이전<NA>
461462자월075인천광역시옹진군28720자월면 승봉로111번길자월면 승봉리 67637.168471126.300141(구)교회 앞중앙119안전센터YY2018중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스무유소방기관미지정○○○시행이후<NA>
462463자월076인천광역시옹진군28720자월면 대이작로 2자월면 이작리 29737.104011126.145211여객선부두중앙119안전센터NY2022중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스무유소방기관미지정○○○시행이후2022년 신설
463464자월077인천광역시옹진군28720자월면 대이작로 432자월면 이작리 760-537.093412126.1649123리 아일랜드펜션앞중앙119안전센터NY2022중부소방서032-870-5163농어촌·도서지역도서지역일체형지상식<NA>릴호스무유소방기관미지정○○○시행이후2022년 신설