Overview

Dataset statistics

Number of variables33
Number of observations485
Missing cells389
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.1 KiB
Average record size in memory266.3 B

Variable types

Numeric2
Categorical26
Text5

Dataset

Description밀양시 관내 소방용수 등 현황으로 관서명, 센터명 관리번호 및 용수 시설별 현황, 설치연도 및 센터와의 거리등 데이터입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15065502

Alerts

관서명 has constant value ""Constant
유인도서 has constant value ""Constant
수리자 has constant value ""Constant
화재없는 안심마을지정 여부 is highly imbalanced (97.9%)Imbalance
수리형식 is highly imbalanced (64.5%)Imbalance
중앙선이 있는 도로_편도 3차선이상 is highly imbalanced (89.1%)Imbalance
소화전주변황색복선도로선유무 is highly imbalanced (63.4%)Imbalance
소화전주변황색단선도로선유무 is highly imbalanced (54.1%)Imbalance
소화전주변흰색점선도로선유무 is highly imbalanced (70.7%)Imbalance
도로선 없는 도로로써별도 주정차금지 표지가 있는 경우_도로선 표시와 별도임 is highly imbalanced (84.4%)Imbalance
점검자 is highly imbalanced (85.5%)Imbalance
유지관리주체소방설치_관리소방시군설치_관리시군 is highly imbalanced (94.6%)Imbalance
읍_면지역에서 리 명칭 has 191 (39.4%) missing valuesMissing
리 지역 중에서 마을명칭 has 192 (39.6%) missing valuesMissing
센터와용수와의 거리_킬로미터_소수첫째자리까지 has 6 (1.2%) missing valuesMissing
소방서별연번 has unique valuesUnique
센터와용수와의 거리_킬로미터_소수첫째자리까지 has 9 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-10 23:57:25.734007
Analysis finished2023-12-10 23:57:26.313908
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소방서별연번
Real number (ℝ)

UNIQUE 

Distinct485
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243
Minimum1
Maximum485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T08:57:26.379708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.2
Q1122
median243
Q3364
95-th percentile460.8
Maximum485
Range484
Interquartile range (IQR)242

Descriptive statistics

Standard deviation140.1517
Coefficient of variation (CV)0.57675598
Kurtosis-1.2
Mean243
Median Absolute Deviation (MAD)121
Skewness0
Sum117855
Variance19642.5
MonotonicityStrictly increasing
2023-12-11T08:57:26.510167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
305 1
 
0.2%
333 1
 
0.2%
332 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
Other values (475) 475
97.9%
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 (%)
485 1
0.2%
484 1
0.2%
483 1
0.2%
482 1
0.2%
481 1
0.2%
480 1
0.2%
479 1
0.2%
478 1
0.2%
477 1
0.2%
476 1
0.2%

관서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
밀양
485 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
밀양 485
100.0%

Length

2023-12-11T08:57:26.619014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:26.697746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밀양 485
100.0%

센터명
Categorical

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
교동
123 
하남
89 
삼랑진
75 
삼문
69 
가곡
55 
Other values (2)
74 

Length

Max length3
Median length2
Mean length2.1546392
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교동 123
25.4%
하남 89
18.4%
삼랑진 75
15.5%
삼문 69
14.2%
가곡 55
11.3%
산동 39
 
8.0%
무안 35
 
7.2%

Length

2023-12-11T08:57:26.795614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:26.890700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교동 123
25.4%
하남 89
18.4%
삼랑진 75
15.5%
삼문 69
14.2%
가곡 55
11.3%
산동 39
 
8.0%
무안 35
 
7.2%

자체관리번호
Text

Distinct484
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T08:57:27.229805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.4247423
Min length6

Characters and Unicode

Total characters3601
Distinct characters26
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique483 ?
Unique (%)99.6%

Sample

1st row삼문-A-002
2nd row삼문-A-003
3rd row삼문-A-004
4th row삼문-A-005
5th row삼문-A-006
ValueCountFrequency (%)
삼문-a-083 2
 
0.4%
하남-a-58 1
 
0.2%
하남-a-74 1
 
0.2%
하남-g-2 1
 
0.2%
하남-g-1 1
 
0.2%
하남-c-3 1
 
0.2%
하남-c-2 1
 
0.2%
하남-c-1 1
 
0.2%
하남-a-81 1
 
0.2%
하남-a-80 1
 
0.2%
Other values (474) 474
97.7%
2023-12-11T08:57:27.823651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 970
26.9%
A 436
12.1%
삼 267
 
7.4%
1 210
 
5.8%
0 205
 
5.7%
문 192
 
5.3%
2 124
 
3.4%
3 109
 
3.0%
4 100
 
2.8%
5 89
 
2.5%
Other values (16) 899
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1101
30.6%
Other Letter 1045
29.0%
Dash Punctuation 970
26.9%
Uppercase Letter 485
13.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
삼 267
25.6%
문 192
18.4%
남 89
 
8.5%
하 89
 
8.5%
랑 75
 
7.2%
진 75
 
7.2%
가 55
 
5.3%
곡 55
 
5.3%
산 39
 
3.7%
동 39
 
3.7%
Other values (2) 70
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 210
19.1%
0 205
18.6%
2 124
11.3%
3 109
9.9%
4 100
9.1%
5 89
8.1%
6 85
7.7%
7 69
 
6.3%
8 56
 
5.1%
9 54
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 436
89.9%
G 34
 
7.0%
C 15
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2071
57.5%
Hangul 1045
29.0%
Latin 485
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
삼 267
25.6%
문 192
18.4%
남 89
 
8.5%
하 89
 
8.5%
랑 75
 
7.2%
진 75
 
7.2%
가 55
 
5.3%
곡 55
 
5.3%
산 39
 
3.7%
동 39
 
3.7%
Other values (2) 70
 
6.7%
Common
ValueCountFrequency (%)
- 970
46.8%
1 210
 
10.1%
0 205
 
9.9%
2 124
 
6.0%
3 109
 
5.3%
4 100
 
4.8%
5 89
 
4.3%
6 85
 
4.1%
7 69
 
3.3%
8 56
 
2.7%
Latin
ValueCountFrequency (%)
A 436
89.9%
G 34
 
7.0%
C 15
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2556
71.0%
Hangul 1045
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 970
37.9%
A 436
17.1%
1 210
 
8.2%
0 205
 
8.0%
2 124
 
4.9%
3 109
 
4.3%
4 100
 
3.9%
5 89
 
3.5%
6 85
 
3.3%
7 69
 
2.7%
Other values (4) 159
 
6.2%
Hangul
ValueCountFrequency (%)
삼 267
25.6%
문 192
18.4%
남 89
 
8.5%
하 89
 
8.5%
랑 75
 
7.2%
진 75
 
7.2%
가 55
 
5.3%
곡 55
 
5.3%
산 39
 
3.7%
동 39
 
3.7%
Other values (2) 70
 
6.7%

수리위치_도로명주소
Text

Distinct438
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T08:57:28.130822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length14.457732
Min length9

Characters and Unicode

Total characters7012
Distinct characters147
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

Unique403 ?
Unique (%)83.1%

Sample

1st row밀양시 석정로 42
2nd row밀양시 약산로 15
3rd row밀양시 상설시장1길 17-12
4th row밀양시 석정로 84
5th row밀양시 석정로 68
ValueCountFrequency (%)
밀양시 485
28.4%
하남읍 53
 
3.1%
삼랑진읍 42
 
2.5%
초동면 34
 
2.0%
부북면 31
 
1.8%
무안면 25
 
1.5%
상남면 23
 
1.3%
용전산업단지길 22
 
1.3%
중앙로 20
 
1.2%
산외면 19
 
1.1%
Other values (516) 954
55.9%
2023-12-11T08:57:28.557982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1287
18.4%
시 513
 
7.3%
밀 512
 
7.3%
양 509
 
7.3%
1 307
 
4.4%
길 299
 
4.3%
2 224
 
3.2%
로 204
 
2.9%
면 166
 
2.4%
3 165
 
2.4%
Other values (137) 2826
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4228
60.3%
Decimal Number 1377
 
19.6%
Space Separator 1287
 
18.4%
Dash Punctuation 120
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 513
 
12.1%
밀 512
 
12.1%
양 509
 
12.0%
길 299
 
7.1%
로 204
 
4.8%
면 166
 
3.9%
산 119
 
2.8%
읍 95
 
2.2%
남 92
 
2.2%
단 84
 
2.0%
Other values (125) 1635
38.7%
Decimal Number
ValueCountFrequency (%)
1 307
22.3%
2 224
16.3%
3 165
12.0%
4 129
9.4%
5 112
 
8.1%
6 98
 
7.1%
8 92
 
6.7%
7 92
 
6.7%
9 81
 
5.9%
0 77
 
5.6%
Space Separator
ValueCountFrequency (%)
1287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4228
60.3%
Common 2784
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 513
 
12.1%
밀 512
 
12.1%
양 509
 
12.0%
길 299
 
7.1%
로 204
 
4.8%
면 166
 
3.9%
산 119
 
2.8%
읍 95
 
2.2%
남 92
 
2.2%
단 84
 
2.0%
Other values (125) 1635
38.7%
Common
ValueCountFrequency (%)
1287
46.2%
1 307
 
11.0%
2 224
 
8.0%
3 165
 
5.9%
4 129
 
4.6%
- 120
 
4.3%
5 112
 
4.0%
6 98
 
3.5%
8 92
 
3.3%
7 92
 
3.3%
Other values (2) 158
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4228
60.3%
ASCII 2784
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1287
46.2%
1 307
 
11.0%
2 224
 
8.0%
3 165
 
5.9%
4 129
 
4.6%
- 120
 
4.3%
5 112
 
4.0%
6 98
 
3.5%
8 92
 
3.3%
7 92
 
3.3%
Other values (2) 158
 
5.7%
Hangul
ValueCountFrequency (%)
시 513
 
12.1%
밀 512
 
12.1%
양 509
 
12.0%
길 299
 
7.1%
로 204
 
4.8%
면 166
 
3.9%
산 119
 
2.8%
읍 95
 
2.2%
남 92
 
2.2%
단 84
 
2.0%
Other values (125) 1635
38.7%

읍면동
Categorical

Distinct17
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
삼랑진읍
75 
내이동
72 
하남읍
53 
삼문동
38 
초동면
36 
Other values (12)
211 

Length

Max length4
Median length3
Mean length3.1257732
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내일동
2nd row내이동
3rd row내일동
4th row내이동
5th row내이동

Common Values

ValueCountFrequency (%)
삼랑진읍 75
15.5%
내이동 72
14.8%
하남읍 53
10.9%
삼문동 38
7.8%
초동면 36
7.4%
내일동 34
7.0%
부북면 31
6.4%
가곡동 30
 
6.2%
무안면 26
 
5.4%
상남면 23
 
4.7%
Other values (7) 67
13.8%

Length

2023-12-11T08:57:28.714590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
삼랑진읍 75
15.5%
내이동 72
14.8%
하남읍 53
10.9%
삼문동 38
7.8%
초동면 36
7.4%
내일동 34
7.0%
부북면 31
6.4%
가곡동 30
 
6.2%
무안면 26
 
5.4%
상남면 23
 
4.7%
Other values (7) 67
13.8%

주변 대상물
Text

Distinct424
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-11T08:57:28.998996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.2639175
Min length2

Characters and Unicode

Total characters3038
Distinct characters383
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

Unique381 ?
Unique (%)78.6%

Sample

1st row동전노래연습장
2nd row밀양고등학교
3rd row밀양신협
4th row휴대폰가게
5th row우수정피부샵
ValueCountFrequency (%)
앞 22
 
3.3%
주택 16
 
2.4%
옆 9
 
1.3%
하남읍 6
 
0.9%
밀양시 6
 
0.9%
및 5
 
0.7%
호진산업 5
 
0.7%
검세리 5
 
0.7%
양동리 5
 
0.7%
공장 4
 
0.6%
Other values (499) 584
87.6%
2023-12-11T08:57:29.472135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
6.9%
동 73
 
2.4%
회 71
 
2.3%
관 62
 
2.0%
마 56
 
1.8%
지 50
 
1.6%
산 47
 
1.5%
양 43
 
1.4%
을 41
 
1.3%
리 39
 
1.3%
Other values (373) 2345
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2659
87.5%
Space Separator 211
 
6.9%
Decimal Number 121
 
4.0%
Other Symbol 13
 
0.4%
Dash Punctuation 12
 
0.4%
Uppercase Letter 11
 
0.4%
Close Punctuation 4
 
0.1%
Lowercase Letter 4
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 73
 
2.7%
회 71
 
2.7%
관 62
 
2.3%
마 56
 
2.1%
지 50
 
1.9%
산 47
 
1.8%
양 43
 
1.6%
을 41
 
1.5%
리 39
 
1.5%
주 37
 
1.4%
Other values (348) 2140
80.5%
Decimal Number
ValueCountFrequency (%)
1 34
28.1%
2 24
19.8%
0 15
12.4%
9 11
 
9.1%
8 11
 
9.1%
4 8
 
6.6%
5 7
 
5.8%
3 7
 
5.8%
7 3
 
2.5%
6 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
18.2%
C 2
18.2%
I 2
18.2%
S 2
18.2%
P 1
9.1%
U 1
9.1%
G 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
m 2
50.0%
t 1
25.0%
k 1
25.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2672
88.0%
Common 351
 
11.6%
Latin 15
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 73
 
2.7%
회 71
 
2.7%
관 62
 
2.3%
마 56
 
2.1%
지 50
 
1.9%
산 47
 
1.8%
양 43
 
1.6%
을 41
 
1.5%
리 39
 
1.5%
주 37
 
1.4%
Other values (349) 2153
80.6%
Common
ValueCountFrequency (%)
211
60.1%
1 34
 
9.7%
2 24
 
6.8%
0 15
 
4.3%
- 12
 
3.4%
9 11
 
3.1%
8 11
 
3.1%
4 8
 
2.3%
5 7
 
2.0%
3 7
 
2.0%
Other values (4) 11
 
3.1%
Latin
ValueCountFrequency (%)
m 2
13.3%
B 2
13.3%
C 2
13.3%
I 2
13.3%
S 2
13.3%
P 1
6.7%
U 1
6.7%
t 1
6.7%
k 1
6.7%
G 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2659
87.5%
ASCII 366
 
12.0%
None 13
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
57.7%
1 34
 
9.3%
2 24
 
6.6%
0 15
 
4.1%
- 12
 
3.3%
9 11
 
3.0%
8 11
 
3.0%
4 8
 
2.2%
5 7
 
1.9%
3 7
 
1.9%
Other values (14) 26
 
7.1%
Hangul
ValueCountFrequency (%)
동 73
 
2.7%
회 71
 
2.7%
관 62
 
2.3%
마 56
 
2.1%
지 50
 
1.9%
산 47
 
1.8%
양 43
 
1.6%
을 41
 
1.5%
리 39
 
1.5%
주 37
 
1.4%
Other values (348) 2140
80.5%
None
ValueCountFrequency (%)
㈜ 13
100.0%

읍_면지역에서 리 명칭
Text

MISSING 

Distinct66
Distinct (%)22.4%
Missing191
Missing (%)39.4%
Memory size3.9 KiB
2023-12-11T08:57:29.762848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.085034
Min length3

Characters and Unicode

Total characters907
Distinct characters79
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

Unique17 ?
Unique (%)5.8%

Sample

1st row안인리
2nd row금산리
3rd row안인리
4th row지동리
5th row청운리
ValueCountFrequency (%)
용전리 31
 
10.5%
수산리 28
 
9.5%
전사포리 24
 
8.2%
송지리 14
 
4.8%
양동리 13
 
4.4%
무안리 11
 
3.7%
금곡리 11
 
3.7%
미전리 11
 
3.7%
명성리 10
 
3.4%
구기리 6
 
2.0%
Other values (55) 135
45.9%
2023-12-11T08:57:30.204131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 294
32.4%
전 68
 
7.5%
산 46
 
5.1%
용 31
 
3.4%
사 29
 
3.2%
수 28
 
3.1%
포 24
 
2.6%
동 24
 
2.6%
곡 19
 
2.1%
송 17
 
1.9%
Other values (69) 327
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 906
99.9%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 294
32.5%
전 68
 
7.5%
산 46
 
5.1%
용 31
 
3.4%
사 29
 
3.2%
수 28
 
3.1%
포 24
 
2.6%
동 24
 
2.6%
곡 19
 
2.1%
송 17
 
1.9%
Other values (68) 326
36.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 906
99.9%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 294
32.5%
전 68
 
7.5%
산 46
 
5.1%
용 31
 
3.4%
사 29
 
3.2%
수 28
 
3.1%
포 24
 
2.6%
동 24
 
2.6%
곡 19
 
2.1%
송 17
 
1.9%
Other values (68) 326
36.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 906
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 294
32.5%
전 68
 
7.5%
산 46
 
5.1%
용 31
 
3.4%
사 29
 
3.2%
수 28
 
3.1%
포 24
 
2.6%
동 24
 
2.6%
곡 19
 
2.1%
송 17
 
1.9%
Other values (68) 326
36.0%
ASCII
ValueCountFrequency (%)
1
100.0%

리 지역 중에서 마을명칭
Text

MISSING 

Distinct126
Distinct (%)43.0%
Missing192
Missing (%)39.6%
Memory size3.9 KiB
2023-12-11T08:57:30.601448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.2730375
Min length4

Characters and Unicode

Total characters1252
Distinct characters116
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

Unique71 ?
Unique (%)24.2%

Sample

1st row구곡마을
2nd row금곡마을
3rd row구곡마을
4th row지동마을
5th row청운마을
ValueCountFrequency (%)
직전마을 24
 
8.2%
사포산업단지 24
 
8.2%
금곡마을 12
 
4.1%
양동마을 11
 
3.7%
시동1마을 8
 
2.7%
명성마을 8
 
2.7%
미전마을 6
 
2.0%
구기마을 5
 
1.7%
죽곡마을 5
 
1.7%
시동2마을 5
 
1.7%
Other values (117) 186
63.3%
2023-12-11T08:57:31.170255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 272
21.7%
을 270
21.6%
동 46
 
3.7%
전 35
 
2.8%
산 32
 
2.6%
지 31
 
2.5%
곡 28
 
2.2%
사 27
 
2.2%
포 27
 
2.2%
단 26
 
2.1%
Other values (106) 458
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1232
98.4%
Decimal Number 19
 
1.5%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 272
22.1%
을 270
21.9%
동 46
 
3.7%
전 35
 
2.8%
산 32
 
2.6%
지 31
 
2.5%
곡 28
 
2.3%
사 27
 
2.2%
포 27
 
2.2%
단 26
 
2.1%
Other values (102) 438
35.6%
Decimal Number
ValueCountFrequency (%)
1 9
47.4%
2 8
42.1%
3 2
 
10.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1232
98.4%
Common 20
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 272
22.1%
을 270
21.9%
동 46
 
3.7%
전 35
 
2.8%
산 32
 
2.6%
지 31
 
2.5%
곡 28
 
2.3%
사 27
 
2.2%
포 27
 
2.2%
단 26
 
2.1%
Other values (102) 438
35.6%
Common
ValueCountFrequency (%)
1 9
45.0%
2 8
40.0%
3 2
 
10.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1232
98.4%
ASCII 20
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 272
22.1%
을 270
21.9%
동 46
 
3.7%
전 35
 
2.8%
산 32
 
2.6%
지 31
 
2.5%
곡 28
 
2.3%
사 27
 
2.2%
포 27
 
2.2%
단 26
 
2.1%
Other values (102) 438
35.6%
ASCII
ValueCountFrequency (%)
1 9
45.0%
2 8
40.0%
3 2
 
10.0%
1
 
5.0%

화재없는 안심마을지정 여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
미지정
484 
지정
 
1

Length

Max length3
Median length3
Mean length2.9979381
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미지정 484
99.8%
지정 1
 
0.2%

Length

2023-12-11T08:57:31.331476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:31.433548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미지정 484
99.8%
지정 1
 
0.2%

읍지역
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
357 
○
128 

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 (%)
× 357
73.6%
○ 128
 
26.4%

Length

2023-12-11T08:57:31.555976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:31.668733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 357
73.6%
○ 128
 
26.4%

면지역
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
347 
○
138 

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 (%)
× 347
71.5%
○ 138
 
28.5%

Length

2023-12-11T08:57:31.778603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:31.909697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 347
71.5%
○ 138
 
28.5%

동지역
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
266 
○
219 

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 (%)
× 266
54.8%
○ 219
45.2%

Length

2023-12-11T08:57:32.030706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:32.132512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 266
54.8%
○ 219
45.2%

유인도서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
485 

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 (%)
× 485
100.0%

Length

2023-12-11T08:57:32.257694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:32.356567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 485
100.0%

수리형식
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
지상
436 
비상소화장치
 
34
저수조
 
15

Length

Max length6
Median length2
Mean length2.3113402
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지상 436
89.9%
비상소화장치 34
 
7.0%
저수조 15
 
3.1%

Length

2023-12-11T08:57:32.497235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:32.626114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지상 436
89.9%
비상소화장치 34
 
7.0%
저수조 15
 
3.1%

용수표지설치유무
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
○
281 
×
204 

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 (%)
○ 281
57.9%
× 204
42.1%

Length

2023-12-11T08:57:32.743373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:33.138103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 281
57.9%
× 204
42.1%

보호틀설치유무
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
○
269 
×
216 

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 (%)
○ 269
55.5%
× 216
44.5%

Length

2023-12-11T08:57:33.268449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:33.382800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 269
55.5%
× 216
44.5%

경계석 설치유무_차도와 보도를구분하는 돌
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
273 
○
212 

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 (%)
× 273
56.3%
○ 212
43.7%

Length

2023-12-11T08:57:33.504203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:33.598991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 273
56.3%
○ 212
43.7%

도로변 설치유무
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
○
360 
×
125 

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 (%)
○ 360
74.2%
× 125
 
25.8%

Length

2023-12-11T08:57:33.705774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:33.798433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 360
74.2%
× 125
 
25.8%

중앙선이 있는 도로_편도 3차선이상
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
478 
○
 
7

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 (%)
× 478
98.6%
○ 7
 
1.4%

Length

2023-12-11T08:57:33.913015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:34.030572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 478
98.6%
○ 7
 
1.4%

중앙선이 있는 도로_편도 2차선이하
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
281 
○
204 

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 (%)
× 281
57.9%
○ 204
42.1%

Length

2023-12-11T08:57:34.177974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:34.302338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 281
57.9%
○ 204
42.1%

중앙선 없고 도로 길가장자리에 도로선이있는 도로
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
403 
○
82 

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 (%)
× 403
83.1%
○ 82
 
16.9%

Length

2023-12-11T08:57:34.430370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:34.527102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 403
83.1%
○ 82
 
16.9%

중앙선 없고 도로 길가장자리에 도로선이없는 도로
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
378 
○
107 

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 (%)
× 378
77.9%
○ 107
 
22.1%

Length

2023-12-11T08:57:34.634081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:34.733932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 378
77.9%
○ 107
 
22.1%

소화전주변황색복선도로선유무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
451 
○
 
34

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 (%)
× 451
93.0%
○ 34
 
7.0%

Length

2023-12-11T08:57:34.860036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:34.974820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 451
93.0%
○ 34
 
7.0%

소화전주변황색단선도로선유무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
438 
○
47 

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 (%)
× 438
90.3%
○ 47
 
9.7%

Length

2023-12-11T08:57:35.082605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:35.210441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 438
90.3%
○ 47
 
9.7%

소화전주변황색점선도로선유무
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
425 
○
60 

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 (%)
× 425
87.6%
○ 60
 
12.4%

Length

2023-12-11T08:57:35.330675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:35.420247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 425
87.6%
○ 60
 
12.4%

소화전주변흰색실선도로선유무
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
293 
○
192 

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 (%)
× 293
60.4%
○ 192
39.6%

Length

2023-12-11T08:57:35.523075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:35.627368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 293
60.4%
○ 192
39.6%

소화전주변흰색점선도로선유무
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
460 
○
 
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 (%)
× 460
94.8%
○ 25
 
5.2%

Length

2023-12-11T08:57:35.740747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:35.844953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 460
94.8%
○ 25
 
5.2%

도로선 없는 도로로써별도 주정차금지 표지가 있는 경우_도로선 표시와 별도임
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
×
474 
○
 
11

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 (%)
× 474
97.7%
○ 11
 
2.3%

Length

2023-12-11T08:57:35.952948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:36.070340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
× 474
97.7%
○ 11
 
2.3%

점검자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
시군
475 
소방서
 
10

Length

Max length3
Median length2
Mean length2.0206186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시군 475
97.9%
소방서 10
 
2.1%

Length

2023-12-11T08:57:36.197947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:36.319951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시군 475
97.9%
소방서 10
 
2.1%

수리자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
소방서
485 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소방서 485
100.0%

Length

2023-12-11T08:57:36.455558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:36.555171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소방서 485
100.0%

유지관리주체소방설치_관리소방시군설치_관리시군
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
시군
482 
소방서
 
3

Length

Max length3
Median length2
Mean length2.0061856
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시군 482
99.4%
소방서 3
 
0.6%

Length

2023-12-11T08:57:36.673149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:57:36.786121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시군 482
99.4%
소방서 3
 
0.6%

센터와용수와의 거리_킬로미터_소수첫째자리까지
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)5.4%
Missing6
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean4.6137787
Minimum0
Maximum8
Zeros9
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-11T08:57:36.912654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median5
Q35
95-th percentile6.05
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2436189
Coefficient of variation (CV)0.26954455
Kurtosis2.7220291
Mean4.6137787
Median Absolute Deviation (MAD)0.5
Skewness-0.93264175
Sum2210
Variance1.546588
MonotonicityNot monotonic
2023-12-11T08:57:37.070137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5.0 171
35.3%
4.0 66
 
13.6%
6.0 51
 
10.5%
4.5 47
 
9.7%
3.0 40
 
8.2%
3.5 24
 
4.9%
5.5 22
 
4.5%
7.0 16
 
3.3%
0.0 9
 
1.9%
2.5 5
 
1.0%
Other values (16) 28
 
5.8%
(Missing) 6
 
1.2%
ValueCountFrequency (%)
0.0 9
 
1.9%
1.0 3
 
0.6%
1.5 2
 
0.4%
2.0 2
 
0.4%
2.5 5
 
1.0%
3.0 40
8.2%
3.5 24
 
4.9%
3.7 5
 
1.0%
3.8 1
 
0.2%
4.0 66
13.6%
ValueCountFrequency (%)
8.0 2
 
0.4%
7.6 1
 
0.2%
7.5 1
 
0.2%
7.0 16
 
3.3%
6.5 4
 
0.8%
6.0 51
10.5%
5.8 1
 
0.2%
5.5 22
4.5%
5.4 1
 
0.2%
5.2 1
 
0.2%

Sample

소방서별연번관서명센터명자체관리번호수리위치_도로명주소읍면동주변 대상물읍_면지역에서 리 명칭리 지역 중에서 마을명칭화재없는 안심마을지정 여부읍지역면지역동지역유인도서수리형식용수표지설치유무보호틀설치유무경계석 설치유무_차도와 보도를구분하는 돌도로변 설치유무중앙선이 있는 도로_편도 3차선이상중앙선이 있는 도로_편도 2차선이하중앙선 없고 도로 길가장자리에 도로선이있는 도로중앙선 없고 도로 길가장자리에 도로선이없는 도로소화전주변황색복선도로선유무소화전주변황색단선도로선유무소화전주변황색점선도로선유무소화전주변흰색실선도로선유무소화전주변흰색점선도로선유무도로선 없는 도로로써별도 주정차금지 표지가 있는 경우_도로선 표시와 별도임점검자수리자유지관리주체소방설치_관리소방시군설치_관리시군센터와용수와의 거리_킬로미터_소수첫째자리까지
01밀양교동삼문-A-002밀양시 석정로 42내일동동전노래연습장<NA><NA>미지정××○×지상○○○○×○××××○×××시군소방서시군6.0
12밀양교동삼문-A-003밀양시 약산로 15내이동밀양고등학교<NA><NA>미지정××○×지상○○○○×○××××○×××시군소방서시군4.0
23밀양교동삼문-A-004밀양시 상설시장1길 17-12내일동밀양신협<NA><NA>미지정××○×지상○××○×××○×××××○시군소방서시군5.0
34밀양교동삼문-A-005밀양시 석정로 84내이동휴대폰가게<NA><NA>미지정××○×지상×○×○××○×××○×××시군소방서시군5.0
45밀양교동삼문-A-006밀양시 석정로 68내이동우수정피부샵<NA><NA>미지정××○×지상○○○○×○××××××××시군소방서시군5.0
56밀양교동삼문-A-007밀양시 중앙로 346내일동내일동행정복지센터<NA><NA>미지정××○×지상○○○×××××××○×××시군소방서시군5.5
67밀양교동삼문-A-008밀양시 내일1길 7 맞은편내일동밀양연립<NA><NA>미지정××○×지상×○×○××○××××○××시군소방서시군5.5
78밀양교동삼문-A-009밀양시 내일중앙길 2-4내일동동문읍성<NA><NA>미지정××○×지상○○○○×○×××××○××시군소방서시군3.0
89밀양교동삼문-A-010밀양시 상설시장1길 24내일동부흥전기<NA><NA>미지정××○×지상○○×○×××○×××××○시군소방서시군6.0
910밀양교동삼문-A-012밀양시 교동로5길 22-11교동교동행정복지센터<NA><NA>미지정××○×지상×○○×××××××○×××시군소방서시군6.0
소방서별연번관서명센터명자체관리번호수리위치_도로명주소읍면동주변 대상물읍_면지역에서 리 명칭리 지역 중에서 마을명칭화재없는 안심마을지정 여부읍지역면지역동지역유인도서수리형식용수표지설치유무보호틀설치유무경계석 설치유무_차도와 보도를구분하는 돌도로변 설치유무중앙선이 있는 도로_편도 3차선이상중앙선이 있는 도로_편도 2차선이하중앙선 없고 도로 길가장자리에 도로선이있는 도로중앙선 없고 도로 길가장자리에 도로선이없는 도로소화전주변황색복선도로선유무소화전주변황색단선도로선유무소화전주변황색점선도로선유무소화전주변흰색실선도로선유무소화전주변흰색점선도로선유무도로선 없는 도로로써별도 주정차금지 표지가 있는 경우_도로선 표시와 별도임점검자수리자유지관리주체소방설치_관리소방시군설치_관리시군센터와용수와의 거리_킬로미터_소수첫째자리까지
475476밀양무안무안-A-22밀양시 무안면 가례리 1243-4무안면새터 버스정류장 옆가례리새터마을미지정×○××지상×××××××○××××××시군소방서시군4.5
476477밀양무안무안-A-23밀양시 무안면 가례리 368-1무안면다례 못안경로당 옆가례리다례마을미지정×○××지상×××××××○××××××시군소방서시군5.0
477478밀양무안무안-A-24밀양시 무안면 가례리 395무안면서가정 마을 입구가례리서가정마을지정×○××지상○×○××××○××××××시군소방서시군4.5
478479밀양무안무안-A-25밀양시 무안면 고라리 813-5무안면장재기 복지회관 옆고라리장재기마을미지정×○××지상××××××××××××××시군소방서시군4.0
479480밀양무안무안-A-26밀양시 무안면 고라리 389-2무안면고라리 경로당 인근고라리장재기마을미지정×○××지상×○××××××××××××시군소방서시군5.0
480481밀양무안무안-A-27밀양시 무안면 고라리 274-1무안면마곡 버스정류장고라리마곡마을미지정×○××지상×○○××○×××××○××시군소방서시군4.0
481482밀양무안무안-A-28밀양시 무안면 무안서로 161무안면관동 버스정류장웅동리웅동마을미지정×○××지상○××××××○××××××시군소방서시군5.0
482483밀양무안무안-A-29밀양시 무안면 무안서로 268무안면웅동복지회관웅동리웅동마을미지정×○××지상○××××××○××××××시군소방서시군4.5
483484밀양무안무안-A-30밀양시 무안면 웅동1길 42무안면웅동복지회관웅동리웅동마을미지정×○××지상○××××××○××××××시군소방서시군4.5
484485밀양무안무안-A-31밀양시 무안면 웅동3길 20무안면웅동복지회관웅동리웅동마을미지정×○××지상○××××××○××××××시군소방서시군5.0