Overview

Dataset statistics

Number of variables20
Number of observations10000
Missing cells6331
Missing cells (%)3.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory170.0 B

Variable types

Numeric2
Text5
Categorical11
DateTime2

Dataset

Description세종소방본부에서 제공하는 재난메타데이터로 긴급구조 우편번호, 긴급구조 종별명, 분류명, 규모명, 관할서명, 서센터명, 지하여부, 주용도명, 대상물명 등의 정보를 제공하는 데이터임
Author소방청
URLhttps://www.data.go.kr/data/15080970/fileData.do

Alerts

구군명 has constant value ""Constant
긴급구조 동명 is highly overall correlated with 관할서명 and 3 other fieldsHigh correlation
대상물기준명 is highly overall correlated with 대상물구분명 and 1 other fieldsHigh correlation
서센터명 is highly overall correlated with 긴급구조 동명 and 3 other fieldsHigh correlation
긴급구조 종별명 is highly overall correlated with 산번지여부High correlation
주용도명 is highly overall correlated with 산번지여부High correlation
대상물구분명 is highly overall correlated with 대상물기준명 and 1 other fieldsHigh correlation
산번지여부 is highly overall correlated with 일련번호 and 10 other fieldsHigh correlation
관할서명 is highly overall correlated with 긴급구조 동명 and 3 other fieldsHigh correlation
긴급구조 규모명 is highly overall correlated with 산번지여부High correlation
동명 is highly overall correlated with 긴급구조 동명 and 3 other fieldsHigh correlation
일련번호 is highly overall correlated with 산번지여부High correlation
우편번호 is highly overall correlated with 산번지여부High correlation
긴급구조 규모명 is highly imbalanced (99.7%)Imbalance
산번지여부 is highly imbalanced (96.0%)Imbalance
긴급구조 우편번호 has 156 (1.6%) missing valuesMissing
긴급구조 리명 has 2626 (26.3%) missing valuesMissing
리명 has 2626 (26.3%) missing valuesMissing
도로명 has 887 (8.9%) missing valuesMissing
일련번호 has unique valuesUnique
우편번호 has 1758 (17.6%) zerosZeros

Reproduction

Analysis started2023-12-12 11:33:56.398743
Analysis finished2023-12-12 11:34:03.932830
Duration7.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22143.717
Minimum6
Maximum44103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:34:04.062640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile2401.85
Q111179.5
median22197
Q333218.25
95-th percentile41930.1
Maximum44103
Range44097
Interquartile range (IQR)22038.75

Descriptive statistics

Standard deviation12719.677
Coefficient of variation (CV)0.57441473
Kurtosis-1.1963644
Mean22143.717
Median Absolute Deviation (MAD)11020
Skewness-0.00055951034
Sum2.2143717 × 108
Variance1.6179019 × 108
MonotonicityNot monotonic
2023-12-12T20:34:04.288491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21711 1
 
< 0.1%
18857 1
 
< 0.1%
38063 1
 
< 0.1%
22944 1
 
< 0.1%
3403 1
 
< 0.1%
4233 1
 
< 0.1%
18931 1
 
< 0.1%
35878 1
 
< 0.1%
195 1
 
< 0.1%
23556 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
15 1
< 0.1%
24 1
< 0.1%
25 1
< 0.1%
44 1
< 0.1%
47 1
< 0.1%
50 1
< 0.1%
51 1
< 0.1%
53 1
< 0.1%
64 1
< 0.1%
ValueCountFrequency (%)
44103 1
< 0.1%
44100 1
< 0.1%
44099 1
< 0.1%
44098 1
< 0.1%
44097 1
< 0.1%
44086 1
< 0.1%
44081 1
< 0.1%
44079 1
< 0.1%
44068 1
< 0.1%
44067 1
< 0.1%

긴급구조 우편번호
Text

MISSING 

Distinct236
Distinct (%)2.4%
Missing156
Missing (%)1.6%
Memory size156.2 KiB
2023-12-12T20:34:04.859910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1621292
Min length5

Characters and Unicode

Total characters50816
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

Unique57 ?
Unique (%)0.6%

Sample

1st row80164
2nd row80185
3rd row100-000
4th row80168
5th row80013
ValueCountFrequency (%)
100-000 798
 
8.1%
80164 727
 
7.4%
80168 604
 
6.1%
80165 582
 
5.9%
80039 450
 
4.6%
80064 416
 
4.2%
80057 375
 
3.8%
80185 348
 
3.5%
80012 345
 
3.5%
80167 322
 
3.3%
Other values (226) 4877
49.5%
2023-12-12T20:34:05.822581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17895
35.2%
8 10410
20.5%
1 7171
14.1%
6 4265
 
8.4%
7 2301
 
4.5%
5 2151
 
4.2%
4 1912
 
3.8%
3 1452
 
2.9%
2 1419
 
2.8%
9 1042
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50018
98.4%
Dash Punctuation 798
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17895
35.8%
8 10410
20.8%
1 7171
14.3%
6 4265
 
8.5%
7 2301
 
4.6%
5 2151
 
4.3%
4 1912
 
3.8%
3 1452
 
2.9%
2 1419
 
2.8%
9 1042
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17895
35.2%
8 10410
20.5%
1 7171
14.1%
6 4265
 
8.4%
7 2301
 
4.5%
5 2151
 
4.2%
4 1912
 
3.8%
3 1452
 
2.9%
2 1419
 
2.8%
9 1042
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17895
35.2%
8 10410
20.5%
1 7171
14.1%
6 4265
 
8.4%
7 2301
 
4.5%
5 2151
 
4.2%
4 1912
 
3.8%
3 1452
 
2.9%
2 1419
 
2.8%
9 1042
 
2.1%

긴급구조 동명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조치원읍
4282 
연서면
897 
부강면
616 
금남면
473 
한솔동
455 
Other values (19)
3277 

Length

Max length4
Median length3
Mean length3.4282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조치원읍
2nd row부강면
3rd row도담동
4th row조치원읍
5th row새롬동

Common Values

ValueCountFrequency (%)
조치원읍 4282
42.8%
연서면 897
 
9.0%
부강면 616
 
6.2%
금남면 473
 
4.7%
한솔동 455
 
4.5%
전의면 449
 
4.5%
장군면 366
 
3.7%
보람동 350
 
3.5%
전동면 280
 
2.8%
도담동 218
 
2.2%
Other values (14) 1614
 
16.1%

Length

2023-12-12T20:34:06.117512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조치원읍 4282
42.8%
연서면 897
 
9.0%
부강면 616
 
6.2%
금남면 473
 
4.7%
한솔동 455
 
4.5%
전의면 449
 
4.5%
장군면 366
 
3.7%
보람동 350
 
3.5%
전동면 280
 
2.8%
도담동 218
 
2.2%
Other values (14) 1614
 
16.1%

긴급구조 리명
Text

MISSING 

Distinct116
Distinct (%)1.6%
Missing2626
Missing (%)26.3%
Memory size156.2 KiB
2023-12-12T20:34:06.632617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.7595606
Min length2

Characters and Unicode

Total characters20349
Distinct characters108
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row원리
2nd row부강리
3rd row침산리
4th row죽림리
5th row용포리
ValueCountFrequency (%)
원리 765
 
10.4%
침산리 659
 
8.9%
죽림리 602
 
8.2%
교리 419
 
5.7%
부강리 395
 
5.4%
신흥리 365
 
4.9%
신안리 337
 
4.6%
번암리 294
 
4.0%
용포리 275
 
3.7%
서창리 227
 
3.1%
Other values (106) 3036
41.2%
2023-12-12T20:34:07.416419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20349
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20349
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20349
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

긴급구조 종별명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
구급
6046 
기타
2402 
구조
1358 
화재
 
185
<NA>
 
8

Length

Max length4
Median length2
Mean length2.0018
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row구급
2nd row구급
3rd row구급
4th row구조
5th row구급

Common Values

ValueCountFrequency (%)
구급 6046
60.5%
기타 2402
 
24.0%
구조 1358
 
13.6%
화재 185
 
1.8%
<NA> 8
 
0.1%
기타출동 1
 
< 0.1%

Length

2023-12-12T20:34:07.712436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:07.937307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구급 6046
60.5%
기타 2402
 
24.0%
구조 1358
 
13.6%
화재 185
 
1.8%
na 8
 
0.1%
기타출동 1
 
< 0.1%

긴급구조 분류명
Text

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:34:08.240186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length3.3174
Min length2

Characters and Unicode

Total characters33174
Distinct characters102
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row질병외
2nd row질병외
3rd row사고부상
4th row시건개방
5th row질병
ValueCountFrequency (%)
질병 3508
35.1%
기타출동 1431
14.3%
사고부상 1127
 
11.3%
질병외 799
 
8.0%
벌집제거 622
 
6.2%
순찰출동 465
 
4.7%
교통사고 253
 
2.5%
동물구조 215
 
2.1%
기타안전사고 199
 
2.0%
훈련출동 196
 
2.0%
Other values (41) 1185
 
11.8%
2023-12-12T20:34:08.819563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 4311
13.0%
질 4307
13.0%
동 2442
 
7.4%
출 2227
 
6.7%
기 1831
 
5.5%
타 1815
 
5.5%
고 1755
 
5.3%
사 1752
 
5.3%
상 1270
 
3.8%
부 1250
 
3.8%
Other values (92) 10214
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32460
97.8%
Uppercase Letter 278
 
0.8%
Other Punctuation 165
 
0.5%
Close Punctuation 133
 
0.4%
Open Punctuation 133
 
0.4%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 4311
13.3%
질 4307
13.3%
동 2442
 
7.5%
출 2227
 
6.9%
기 1831
 
5.6%
타 1815
 
5.6%
고 1755
 
5.4%
사 1752
 
5.4%
상 1270
 
3.9%
부 1250
 
3.9%
Other values (84) 9500
29.3%
Uppercase Letter
ValueCountFrequency (%)
E 138
49.6%
V 138
49.6%
U 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 138
83.6%
, 27
 
16.4%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Decimal Number
ValueCountFrequency (%)
3 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32460
97.8%
Common 436
 
1.3%
Latin 278
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 4311
13.3%
질 4307
13.3%
동 2442
 
7.5%
출 2227
 
6.9%
기 1831
 
5.6%
타 1815
 
5.6%
고 1755
 
5.4%
사 1752
 
5.4%
상 1270
 
3.9%
부 1250
 
3.9%
Other values (84) 9500
29.3%
Common
ValueCountFrequency (%)
/ 138
31.7%
) 133
30.5%
( 133
30.5%
, 27
 
6.2%
3 5
 
1.1%
Latin
ValueCountFrequency (%)
E 138
49.6%
V 138
49.6%
U 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32460
97.8%
ASCII 714
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 4311
13.3%
질 4307
13.3%
동 2442
 
7.5%
출 2227
 
6.9%
기 1831
 
5.6%
타 1815
 
5.6%
고 1755
 
5.4%
사 1752
 
5.4%
상 1270
 
3.9%
부 1250
 
3.9%
Other values (84) 9500
29.3%
ASCII
ValueCountFrequency (%)
/ 138
19.3%
E 138
19.3%
V 138
19.3%
) 133
18.6%
( 133
18.6%
, 27
 
3.8%
3 5
 
0.7%
U 2
 
0.3%

긴급구조 규모명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1차출동
9998 
2차출동
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1차출동
2nd row1차출동
3rd row1차출동
4th row1차출동
5th row1차출동

Common Values

ValueCountFrequency (%)
1차출동 9998
> 99.9%
2차출동 2
 
< 0.1%

Length

2023-12-12T20:34:09.063599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:09.248164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차출동 9998
> 99.9%
2차출동 2
 
< 0.1%

상황종료일시
Date

Distinct2713
Distinct (%)27.2%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
Minimum2012-07-05 00:00:00
Maximum2021-01-14 00:00:00
2023-12-12T20:34:09.432907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:09.702373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상황종료일시(상세)
Date

Distinct8720
Distinct (%)87.3%
Missing12
Missing (%)0.1%
Memory size156.2 KiB
Minimum2023-12-12 00:00:07
Maximum2023-12-12 23:59:57
2023-12-12T20:34:09.952063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:10.207589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관할서명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조치원소방서
6838 
세종소방서
2606 
세종소방본부
 
551
<NA>
 
5

Length

Max length6
Median length6
Mean length5.7384
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조치원소방서
2nd row조치원소방서
3rd row세종소방서
4th row조치원소방서
5th row세종소방서

Common Values

ValueCountFrequency (%)
조치원소방서 6838
68.4%
세종소방서 2606
 
26.1%
세종소방본부 551
 
5.5%
<NA> 5
 
0.1%

Length

2023-12-12T20:34:10.452665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:10.693694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조치원소방서 6838
68.4%
세종소방서 2606
 
26.1%
세종소방본부 551
 
5.5%
na 5
 
< 0.1%

서센터명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조치원119안전센터
4479 
한솔119안전센터
1189 
보람119안전센터
896 
연서119안전센터
840 
부강119안전센터
771 
Other values (7)
1825 

Length

Max length10
Median length9
Mean length9.447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조치원119안전센터
2nd row부강119안전센터
3rd row어진119안전센터
4th row조치원119안전센터
5th row한솔119안전센터

Common Values

ValueCountFrequency (%)
조치원119안전센터 4479
44.8%
한솔119안전센터 1189
 
11.9%
보람119안전센터 896
 
9.0%
연서119안전센터 840
 
8.4%
부강119안전센터 771
 
7.7%
아름119안전센터 722
 
7.2%
전의119안전센터 705
 
7.0%
어진119안전센터 308
 
3.1%
장군119안전센터 42
 
0.4%
조치원119구조대 27
 
0.3%
Other values (2) 21
 
0.2%

Length

2023-12-12T20:34:10.946893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조치원119안전센터 4479
44.8%
한솔119안전센터 1189
 
11.9%
보람119안전센터 896
 
9.0%
연서119안전센터 840
 
8.4%
부강119안전센터 771
 
7.7%
아름119안전센터 722
 
7.2%
전의119안전센터 705
 
7.0%
어진119안전센터 308
 
3.1%
장군119안전센터 42
 
0.4%
조치원119구조대 27
 
0.3%
Other values (2) 21
 
0.2%

주용도명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
근린생활
3159 
공동주택(아파트/기숙사)
2007 
업무시설
830 
복합건축물
807 
창고시설
656 
Other values (24)
2541 

Length

Max length13
Median length11
Mean length6.3569
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노유자시설
2nd row위험물저장및처리시설
3rd row근린생활
4th row근린생활
5th row공동주택(아파트/기숙사)

Common Values

ValueCountFrequency (%)
근린생활 3159
31.6%
공동주택(아파트/기숙사) 2007
20.1%
업무시설 830
 
8.3%
복합건축물 807
 
8.1%
창고시설 656
 
6.6%
공장 448
 
4.5%
교육연구시설 446
 
4.5%
판매시설및영업시설 353
 
3.5%
노유자시설 335
 
3.4%
동식물관련시설 194
 
1.9%
Other values (19) 765
 
7.6%

Length

2023-12-12T20:34:11.248777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
근린생활 3159
31.6%
공동주택(아파트/기숙사 2007
20.1%
업무시설 830
 
8.3%
복합건축물 807
 
8.1%
창고시설 656
 
6.6%
공장 448
 
4.5%
교육연구시설 446
 
4.5%
판매시설및영업시설 353
 
3.5%
노유자시설 335
 
3.4%
동식물관련시설 194
 
1.9%
Other values (19) 765
 
7.6%

대상물구분명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2급대상
4319 
일반대상
4139 
<NA>
856 
1급대상
675 
기타-가설건축물
 
11

Length

Max length8
Median length4
Mean length4.0044
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2급대상
2nd row일반대상
3rd row2급대상
4th row2급대상
5th row2급대상

Common Values

ValueCountFrequency (%)
2급대상 4319
43.2%
일반대상 4139
41.4%
<NA> 856
 
8.6%
1급대상 675
 
6.8%
기타-가설건축물 11
 
0.1%

Length

2023-12-12T20:34:11.456995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:11.663228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2급대상 4319
43.2%
일반대상 4139
41.4%
na 856
 
8.6%
1급대상 675
 
6.8%
기타-가설건축물 11
 
0.1%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
세종특별자치시
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종특별자치시 10000
100.0%

Length

2023-12-12T20:34:11.882653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:12.055711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종특별자치시 10000
100.0%

동명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조치원읍
4282 
연서면
897 
부강면
616 
금남면
473 
한솔동
455 
Other values (19)
3277 

Length

Max length4
Median length3
Mean length3.4282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조치원읍
2nd row부강면
3rd row도담동
4th row조치원읍
5th row새롬동

Common Values

ValueCountFrequency (%)
조치원읍 4282
42.8%
연서면 897
 
9.0%
부강면 616
 
6.2%
금남면 473
 
4.7%
한솔동 455
 
4.5%
전의면 449
 
4.5%
장군면 366
 
3.7%
보람동 350
 
3.5%
전동면 280
 
2.8%
도담동 218
 
2.2%
Other values (14) 1614
 
16.1%

Length

2023-12-12T20:34:12.227402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조치원읍 4282
42.8%
연서면 897
 
9.0%
부강면 616
 
6.2%
금남면 473
 
4.7%
한솔동 455
 
4.5%
전의면 449
 
4.5%
장군면 366
 
3.7%
보람동 350
 
3.5%
전동면 280
 
2.8%
도담동 218
 
2.2%
Other values (14) 1614
 
16.1%

리명
Text

MISSING 

Distinct116
Distinct (%)1.6%
Missing2626
Missing (%)26.3%
Memory size156.2 KiB
2023-12-12T20:34:12.710508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.7595606
Min length2

Characters and Unicode

Total characters20349
Distinct characters108
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row원리
2nd row부강리
3rd row침산리
4th row죽림리
5th row용포리
ValueCountFrequency (%)
원리 765
 
10.4%
침산리 659
 
8.9%
죽림리 602
 
8.2%
교리 419
 
5.7%
부강리 395
 
5.4%
신흥리 365
 
4.9%
신안리 337
 
4.6%
번암리 294
 
4.0%
용포리 275
 
3.7%
서창리 227
 
3.1%
Other values (106) 3036
41.2%
2023-12-12T20:34:13.448225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20349
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20349
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20349
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 7379
36.3%
신 855
 
4.2%
산 834
 
4.1%
원 811
 
4.0%
침 659
 
3.2%
죽 602
 
3.0%
림 602
 
3.0%
교 537
 
2.6%
암 532
 
2.6%
안 454
 
2.2%
Other values (98) 7084
34.8%

우편번호
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct192
Distinct (%)1.9%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean203239.49
Minimum0
Maximum363944
Zeros1758
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:34:13.802983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130062.75
median339752
Q3339853
95-th percentile339913
Maximum363944
Range363944
Interquartile range (IQR)309790.25

Descriptive statistics

Standard deviation160184.45
Coefficient of variation (CV)0.78815611
Kurtosis-1.8861073
Mean203239.49
Median Absolute Deviation (MAD)739
Skewness-0.30864102
Sum2.029956 × 109
Variance2.5659057 × 1010
MonotonicityNot monotonic
2023-12-12T20:34:14.091740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1758
 
17.6%
339883 671
 
6.7%
30130 451
 
4.5%
339887 326
 
3.3%
339884 315
 
3.1%
339801 305
 
3.0%
30151 274
 
2.7%
339804 264
 
2.6%
363941 230
 
2.3%
339763 221
 
2.2%
Other values (182) 5173
51.7%
ValueCountFrequency (%)
0 1758
17.6%
30000 6
 
0.1%
30001 6
 
0.1%
30002 10
 
0.1%
30003 21
 
0.2%
30004 11
 
0.1%
30006 1
 
< 0.1%
30007 2
 
< 0.1%
30008 2
 
< 0.1%
30009 3
 
< 0.1%
ValueCountFrequency (%)
363944 24
 
0.2%
363943 13
 
0.1%
363942 55
 
0.5%
363941 230
2.3%
339945 1
 
< 0.1%
339944 25
 
0.2%
339943 7
 
0.1%
339942 27
 
0.3%
339941 53
 
0.5%
339914 45
 
0.4%

대상물기준명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반대상물
4102 
스프링클러,물분무등설치대상
1785 
옥내소화전설치대상
1605 
자동화재탐지설치대상
886 
공동주택(주택법시행령제63조제1항각호1에해당)
661 
Other values (10)
961 

Length

Max length25
Median length14
Mean length9.2565
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row스프링클러,물분무등설치대상
2nd row일반대상물
3rd row스프링클러,물분무등설치대상
4th row옥내소화전설치대상
5th row공동주택(주택법시행령제63조제1항각호1에해당)

Common Values

ValueCountFrequency (%)
일반대상물 4102
41.0%
스프링클러,물분무등설치대상 1785
17.8%
옥내소화전설치대상 1605
 
16.1%
자동화재탐지설치대상 886
 
8.9%
공동주택(주택법시행령제63조제1항각호1에해당) 661
 
6.6%
연면적15,000이상 463
 
4.6%
<NA> 435
 
4.3%
11층이상 40
 
0.4%
기타(문화재) 8
 
0.1%
견본주택(모델하우스) 6
 
0.1%
Other values (5) 9
 
0.1%

Length

2023-12-12T20:34:14.341576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반대상물 4102
41.0%
스프링클러,물분무등설치대상 1785
17.8%
옥내소화전설치대상 1605
 
16.1%
자동화재탐지설치대상 886
 
8.9%
공동주택(주택법시행령제63조제1항각호1에해당 661
 
6.6%
연면적15,000이상 463
 
4.6%
na 435
 
4.3%
11층이상 40
 
0.4%
기타(문화재 8
 
0.1%
견본주택(모델하우스 6
 
0.1%
Other values (5) 9
 
0.1%

산번지여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9957 
산
 
43

Length

Max length4
Median length4
Mean length3.9871
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9957
99.6%
산 43
 
0.4%

Length

2023-12-12T20:34:14.551605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:34:14.730477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9957
99.6%
산 43
 
0.4%

도로명
Text

MISSING 

Distinct535
Distinct (%)5.9%
Missing887
Missing (%)8.9%
Memory size156.2 KiB
2023-12-12T20:34:15.204176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.7715352
Min length3

Characters and Unicode

Total characters34370
Distinct characters263
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

Unique140 ?
Unique (%)1.5%

Sample

1st row조치원5길
2nd row오대길
3rd row보듬3로
4th row충현로
5th row새롬중앙로
ValueCountFrequency (%)
세종로 397
 
4.4%
충현로 385
 
4.2%
새내10길 342
 
3.8%
도원로 335
 
3.7%
한누리대로 317
 
3.5%
새내로 266
 
2.9%
군청로 260
 
2.9%
운주산로 185
 
2.0%
남세종로 169
 
1.9%
당산로 160
 
1.8%
Other values (525) 6297
69.1%
2023-12-12T20:34:15.984326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 5780
 
16.8%
길 3333
 
9.7%
1 1344
 
3.9%
새 1067
 
3.1%
내 1009
 
2.9%
원 955
 
2.8%
도 754
 
2.2%
산 651
 
1.9%
리 631
 
1.8%
세 618
 
1.8%
Other values (253) 18228
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31149
90.6%
Decimal Number 3221
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 5780
 
18.6%
길 3333
 
10.7%
새 1067
 
3.4%
내 1009
 
3.2%
원 955
 
3.1%
도 754
 
2.4%
산 651
 
2.1%
리 631
 
2.0%
세 618
 
2.0%
대 606
 
1.9%
Other values (243) 15745
50.5%
Decimal Number
ValueCountFrequency (%)
1 1344
41.7%
3 453
 
14.1%
2 414
 
12.9%
0 374
 
11.6%
4 202
 
6.3%
8 133
 
4.1%
5 105
 
3.3%
6 96
 
3.0%
7 78
 
2.4%
9 22
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31149
90.6%
Common 3221
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 5780
 
18.6%
길 3333
 
10.7%
새 1067
 
3.4%
내 1009
 
3.2%
원 955
 
3.1%
도 754
 
2.4%
산 651
 
2.1%
리 631
 
2.0%
세 618
 
2.0%
대 606
 
1.9%
Other values (243) 15745
50.5%
Common
ValueCountFrequency (%)
1 1344
41.7%
3 453
 
14.1%
2 414
 
12.9%
0 374
 
11.6%
4 202
 
6.3%
8 133
 
4.1%
5 105
 
3.3%
6 96
 
3.0%
7 78
 
2.4%
9 22
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31149
90.6%
ASCII 3221
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 5780
 
18.6%
길 3333
 
10.7%
새 1067
 
3.4%
내 1009
 
3.2%
원 955
 
3.1%
도 754
 
2.4%
산 651
 
2.1%
리 631
 
2.0%
세 618
 
2.0%
대 606
 
1.9%
Other values (243) 15745
50.5%
ASCII
ValueCountFrequency (%)
1 1344
41.7%
3 453
 
14.1%
2 414
 
12.9%
0 374
 
11.6%
4 202
 
6.3%
8 133
 
4.1%
5 105
 
3.3%
6 96
 
3.0%
7 78
 
2.4%
9 22
 
0.7%

Interactions

2023-12-12T20:34:01.806911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:01.438287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:01.993439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:34:01.612993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:34:16.190568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호긴급구조 동명긴급구조 종별명긴급구조 분류명긴급구조 규모명관할서명서센터명주용도명대상물구분명동명우편번호대상물기준명
일련번호1.0000.2700.1290.4000.0400.5280.3350.2710.1730.2700.1670.150
긴급구조 동명0.2701.0000.3670.4260.0350.9260.9580.6950.6641.0000.7210.638
긴급구조 종별명0.1290.3671.0000.9750.0000.1010.2650.4220.1250.3670.1170.205
긴급구조 분류명0.4000.4260.9751.0000.0000.3120.4300.5190.3100.4260.2600.264
긴급구조 규모명0.0400.0350.0000.0001.0000.0000.0390.0800.0000.0350.0000.000
관할서명0.5280.9260.1010.3120.0001.0000.8480.4240.2730.9260.6180.541
서센터명0.3350.9580.2650.4300.0390.8481.0000.6080.3950.9580.5340.456
주용도명0.2710.6950.4220.5190.0800.4240.6081.0000.7160.6950.4680.781
대상물구분명0.1730.6640.1250.3100.0000.2730.3950.7161.0000.6640.1001.000
동명0.2701.0000.3670.4260.0350.9260.9580.6950.6641.0000.7210.638
우편번호0.1670.7210.1170.2600.0000.6180.5340.4680.1000.7211.0000.306
대상물기준명0.1500.6380.2050.2640.0000.5410.4560.7811.0000.6380.3061.000
2023-12-12T20:34:16.470840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
긴급구조 동명대상물기준명서센터명긴급구조 종별명주용도명대상물구분명산번지여부관할서명긴급구조 규모명동명
긴급구조 동명1.0000.2570.7740.1860.2380.3741.0000.7240.0271.000
대상물기준명0.2571.0000.1970.1080.3211.0001.0000.3580.0000.257
서센터명0.7740.1971.0000.1490.2570.2491.0000.7490.0370.774
긴급구조 종별명0.1860.1080.1491.0000.2170.1021.0000.0760.0000.186
주용도명0.2380.3210.2570.2171.0000.4211.0000.2390.0630.238
대상물구분명0.3741.0000.2490.1020.4211.0001.0000.2620.0000.374
산번지여부1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관할서명0.7240.3580.7490.0760.2390.2621.0001.0000.0000.724
긴급구조 규모명0.0270.0000.0370.0000.0630.0001.0000.0001.0000.027
동명1.0000.2570.7740.1860.2380.3741.0000.7240.0271.000
2023-12-12T20:34:16.743190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호우편번호긴급구조 동명긴급구조 종별명긴급구조 규모명관할서명서센터명주용도명대상물구분명동명대상물기준명산번지여부
일련번호1.000-0.0930.1020.0540.0300.3720.1490.1000.1040.1020.0611.000
우편번호-0.0931.0000.4540.0880.0000.2850.3690.2710.0940.4540.1811.000
긴급구조 동명0.1020.4541.0000.1860.0270.7240.7740.2380.3741.0000.2571.000
긴급구조 종별명0.0540.0880.1861.0000.0000.0760.1490.2170.1020.1860.1081.000
긴급구조 규모명0.0300.0000.0270.0001.0000.0000.0370.0630.0000.0270.0001.000
관할서명0.3720.2850.7240.0760.0001.0000.7490.2390.2620.7240.3581.000
서센터명0.1490.3690.7740.1490.0370.7491.0000.2570.2490.7740.1971.000
주용도명0.1000.2710.2380.2170.0630.2390.2571.0000.4210.2380.3211.000
대상물구분명0.1040.0940.3740.1020.0000.2620.2490.4211.0000.3741.0001.000
동명0.1020.4541.0000.1860.0270.7240.7740.2380.3741.0000.2571.000
대상물기준명0.0610.1810.2570.1080.0000.3580.1970.3211.0000.2571.0001.000
산번지여부1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T20:34:02.327453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:34:02.796882image/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.
2023-12-12T20:34:03.660577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

일련번호긴급구조 우편번호긴급구조 동명긴급구조 리명긴급구조 종별명긴급구조 분류명긴급구조 규모명상황종료일시상황종료일시(상세)관할서명서센터명주용도명대상물구분명구군명동명리명우편번호대상물기준명산번지여부도로명
217472171180164조치원읍원리구급질병외1차출동2019-12-3116:33:26조치원소방서조치원119안전센터노유자시설2급대상세종특별자치시조치원읍원리30024스프링클러,물분무등설치대상<NA>조치원5길
162981625180185부강면부강리구급질병외1차출동2017-01-0617:05:10조치원소방서부강119안전센터위험물저장및처리시설일반대상세종특별자치시부강면부강리363941일반대상물<NA>오대길
1460814560100-000도담동<NA>구급사고부상1차출동2016-09-101:54:30세종소방서어진119안전센터근린생활2급대상세종특별자치시도담동<NA>339006스프링클러,물분무등설치대상<NA>보듬3로
143331428880168조치원읍침산리구조시건개방1차출동2016-10-2916:24:49조치원소방서조치원119안전센터근린생활2급대상세종특별자치시조치원읍침산리30021옥내소화전설치대상<NA>충현로
320103199680013새롬동<NA>구급질병1차출동2019-07-0314:49:51세종소방서한솔119안전센터공동주택(아파트/기숙사)2급대상세종특별자치시새롬동<NA>30127공동주택(주택법시행령제63조제1항각호1에해당)<NA>새롬중앙로
9686964880165조치원읍죽림리구급질병1차출동2015-12-1216:21:53조치원소방서조치원119안전센터근린생활2급대상세종특별자치시조치원읍죽림리339763옥내소화전설치대상<NA>도원로
4372643725100-000금남면용포리구급질병외1차출동2020-08-302:32:34세종소방서보람119안전센터근린생활일반대상세종특별자치시금남면용포리0일반대상물<NA>용포로
353893537880022대평동<NA>구조벌집제거1차출동2019-07-2214:07:42세종소방서보람119안전센터복합건축물2급대상세종특별자치시대평동<NA>30153옥내소화전설치대상<NA>대평1길
134011335980099금남면부용리구조벌집제거1차출동2016-08-2710:36:58세종소방서한솔119안전센터근린생활일반대상세종특별자치시금남면부용리0일반대상물<NA>칠불산길
9100906280170장군면금암리구급질병1차출동2015-10-172:17:19세종소방본부아름119안전센터공동주택(아파트/기숙사)2급대상세종특별자치시장군면금암리314911옥내소화전설치대상<NA>대학길
일련번호긴급구조 우편번호긴급구조 동명긴급구조 리명긴급구조 종별명긴급구조 분류명긴급구조 규모명상황종료일시상황종료일시(상세)관할서명서센터명주용도명대상물구분명구군명동명리명우편번호대상물기준명산번지여부도로명
432194322080064연서면<NA>기타순찰출동1차출동2020-12-1414:42:59조치원소방서연서119안전센터창고시설일반대상세종특별자치시연서면<NA>0일반대상물<NA><NA>
353323532180168조치원읍침산리기타기타출동1차출동2019-03-241:03:56조치원소방서조치원119안전센터근린생활일반대상세종특별자치시조치원읍침산리0일반대상물<NA><NA>
9212917480039한솔동<NA>구급사고부상1차출동2016-01-1318:25:09세종소방본부한솔119안전센터근린생활2급대상세종특별자치시한솔동<NA>339014스프링클러,물분무등설치대상<NA>노을3로
264412640880164조치원읍원리구급질병1차출동2020-02-0323:39:19조치원소방서조치원119안전센터판매시설및영업시설일반대상세종특별자치시조치원읍원리339883일반대상물<NA>새내10길
426234262480164조치원읍원리기타순찰출동1차출동2020-08-2515:16:46조치원소방서조치원119안전센터근린생활일반대상세종특별자치시조치원읍원리0일반대상물<NA>조치원6길
95094971110전동면미곡리구급질병1차출동2013-05-314:29:04조치원소방서전의119안전센터동식물관련시설일반대상세종특별자치시전동면미곡리339842일반대상물<NA>학당이1길
108881084880165조치원읍죽림리화재일반화재(차량)1차출동2016-02-283:00:14조치원소방서조치원119안전센터근린생활2급대상세종특별자치시조치원읍죽림리339763옥내소화전설치대상<NA>도원로
1555915508100-000종촌동<NA>구급사고부상1차출동2016-11-2721:05:00세종소방서아름119안전센터복합건축물2급대상세종특별자치시종촌동<NA>339013스프링클러,물분무등설치대상<NA>도움3로
97189680100-000종촌동<NA>구급질병외1차출동2015-11-2515:03:30세종소방본부아름119안전센터근린생활2급대상세종특별자치시종촌동<NA>30064스프링클러,물분무등설치대상<NA>도움1로
179351789180164조치원읍원리기타순찰출동1차출동2017-04-0314:26:54조치원소방서조치원119안전센터업무시설<NA>세종특별자치시조치원읍원리339883자동화재탐지설치대상<NA>새내10길