Overview

Dataset statistics

Number of variables7
Number of observations379
Missing cells62
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.2 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 석면 조사 대상 건축물 현황에 대한 데이터 입니다. 파일명 인천광역시_중구_석면조사대상건축물현황 파일내용 구분, 건축물명, 동명, 주소 등
URLhttps://www.data.go.kr/data/15038683/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly imbalanced (53.0%)Imbalance
동명 has 62 (16.4%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:19:32.997852
Analysis finished2023-12-12 15:19:33.909884
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct379
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190
Minimum1
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T00:19:34.052702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.9
Q195.5
median190
Q3284.5
95-th percentile360.1
Maximum379
Range378
Interquartile range (IQR)189

Descriptive statistics

Standard deviation109.55212
Coefficient of variation (CV)0.5765901
Kurtosis-1.2
Mean190
Median Absolute Deviation (MAD)95
Skewness0
Sum72010
Variance12001.667
MonotonicityStrictly increasing
2023-12-13T00:19:34.239153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
251 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
Other values (369) 369
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%

구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
공공건축물
297 
불특정다수이용
41 
어린이집
 
23
기타
 
17
대학교
 
1

Length

Max length7
Median length5
Mean length5.0158311
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
공공건축물 297
78.4%
불특정다수이용 41
 
10.8%
어린이집 23
 
6.1%
기타 17
 
4.5%
대학교 1
 
0.3%

Length

2023-12-13T00:19:34.444994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:34.622449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공건축물 297
78.4%
불특정다수이용 41
 
10.8%
어린이집 23
 
6.1%
기타 17
 
4.5%
대학교 1
 
0.3%

건축물명(상호)
Text

Distinct280
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:19:35.029401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length8.4722955
Min length2

Characters and Unicode

Total characters3211
Distinct characters301
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)64.6%

Sample

1st row열성오피스텔
2nd row㈜골든스카이
3rd row베스트웨스턴호텔
4th rowIBC디오빌
5th row24시불가마사우나
ValueCountFrequency (%)
영종도동물검역계류장 21
 
4.5%
인천국제공항 8
 
1.7%
대신창고 8
 
1.7%
공항철도용유기지사업소 6
 
1.3%
인천광역시 6
 
1.3%
중구청 6
 
1.3%
열병합발전소 6
 
1.3%
해양경찰청 6
 
1.3%
미술문화공간조성사업 5
 
1.1%
b 4
 
0.8%
Other values (317) 395
83.9%
2023-12-13T00:19:35.626391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 121
 
3.8%
천 102
 
3.2%
99
 
3.1%
공 70
 
2.2%
동 70
 
2.2%
사 68
 
2.1%
장 63
 
2.0%
지 62
 
1.9%
원 57
 
1.8%
관 53
 
1.7%
Other values (291) 2446
76.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2920
90.9%
Space Separator 99
 
3.1%
Decimal Number 66
 
2.1%
Uppercase Letter 53
 
1.7%
Open Punctuation 25
 
0.8%
Close Punctuation 25
 
0.8%
Other Punctuation 11
 
0.3%
Other Symbol 5
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 121
 
4.1%
천 102
 
3.5%
공 70
 
2.4%
동 70
 
2.4%
사 68
 
2.3%
장 63
 
2.2%
지 62
 
2.1%
원 57
 
2.0%
관 53
 
1.8%
소 52
 
1.8%
Other values (262) 2202
75.4%
Uppercase Letter
ValueCountFrequency (%)
C 10
18.9%
B 10
18.9%
I 8
15.1%
A 8
15.1%
S 5
9.4%
T 4
 
7.5%
F 3
 
5.7%
P 3
 
5.7%
K 1
 
1.9%
D 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 20
30.3%
2 12
18.2%
5 8
 
12.1%
8 5
 
7.6%
3 5
 
7.6%
6 5
 
7.6%
7 4
 
6.1%
4 4
 
6.1%
9 3
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
b 2
50.0%
e 1
25.0%
s 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
/ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2925
91.1%
Common 229
 
7.1%
Latin 57
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 121
 
4.1%
천 102
 
3.5%
공 70
 
2.4%
동 70
 
2.4%
사 68
 
2.3%
장 63
 
2.2%
지 62
 
2.1%
원 57
 
1.9%
관 53
 
1.8%
소 52
 
1.8%
Other values (263) 2207
75.5%
Common
ValueCountFrequency (%)
99
43.2%
( 25
 
10.9%
) 25
 
10.9%
1 20
 
8.7%
2 12
 
5.2%
, 10
 
4.4%
5 8
 
3.5%
8 5
 
2.2%
3 5
 
2.2%
6 5
 
2.2%
Other values (5) 15
 
6.6%
Latin
ValueCountFrequency (%)
C 10
17.5%
B 10
17.5%
I 8
14.0%
A 8
14.0%
S 5
8.8%
T 4
 
7.0%
F 3
 
5.3%
P 3
 
5.3%
b 2
 
3.5%
e 1
 
1.8%
Other values (3) 3
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2920
90.9%
ASCII 286
 
8.9%
None 5
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 121
 
4.1%
천 102
 
3.5%
공 70
 
2.4%
동 70
 
2.4%
사 68
 
2.3%
장 63
 
2.2%
지 62
 
2.1%
원 57
 
2.0%
관 53
 
1.8%
소 52
 
1.8%
Other values (262) 2202
75.4%
ASCII
ValueCountFrequency (%)
99
34.6%
( 25
 
8.7%
) 25
 
8.7%
1 20
 
7.0%
2 12
 
4.2%
, 10
 
3.5%
C 10
 
3.5%
B 10
 
3.5%
I 8
 
2.8%
A 8
 
2.8%
Other values (18) 59
20.6%
None
ValueCountFrequency (%)
㈜ 5
100.0%

동명
Text

MISSING 

Distinct283
Distinct (%)89.3%
Missing62
Missing (%)16.4%
Memory size3.1 KiB
2023-12-13T00:19:35.994257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.444795
Min length1

Characters and Unicode

Total characters2043
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)83.3%

Sample

1st row엘지에클라트
2nd row㈜골든스카이
3rd row베스트웨스턴호텔
4th rowIBC디오빌
5th row24시불가마사우나
ValueCountFrequency (%)
1동 5
 
1.4%
해양경찰청 5
 
1.4%
본관동 5
 
1.4%
별관동 4
 
1.1%
관리동 4
 
1.1%
구립 4
 
1.1%
주차장 3
 
0.9%
사무동 3
 
0.9%
본관 3
 
0.9%
실내주차장 3
 
0.9%
Other values (300) 312
88.9%
2023-12-13T00:19:36.503322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 106
 
5.2%
관 62
 
3.0%
사 52
 
2.5%
46
 
2.3%
인 46
 
2.3%
이 44
 
2.2%
장 42
 
2.1%
원 37
 
1.8%
지 35
 
1.7%
고 34
 
1.7%
Other values (295) 1539
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1826
89.4%
Decimal Number 70
 
3.4%
Space Separator 46
 
2.3%
Uppercase Letter 39
 
1.9%
Open Punctuation 21
 
1.0%
Close Punctuation 20
 
1.0%
Dash Punctuation 11
 
0.5%
Lowercase Letter 5
 
0.2%
Other Punctuation 4
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
 
5.8%
관 62
 
3.4%
사 52
 
2.8%
인 46
 
2.5%
이 44
 
2.4%
장 42
 
2.3%
원 37
 
2.0%
지 35
 
1.9%
고 34
 
1.9%
천 32
 
1.8%
Other values (261) 1336
73.2%
Uppercase Letter
ValueCountFrequency (%)
B 13
33.3%
A 10
25.6%
C 4
 
10.3%
I 3
 
7.7%
P 2
 
5.1%
T 2
 
5.1%
S 1
 
2.6%
R 1
 
2.6%
M 1
 
2.6%
E 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 27
38.6%
2 12
17.1%
9 6
 
8.6%
3 6
 
8.6%
4 5
 
7.1%
6 4
 
5.7%
5 4
 
5.7%
7 3
 
4.3%
8 2
 
2.9%
0 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
h 1
20.0%
p 1
20.0%
o 1
20.0%
e 1
20.0%
s 1
20.0%
Other Punctuation
ValueCountFrequency (%)
# 2
50.0%
, 1
25.0%
/ 1
25.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1827
89.4%
Common 172
 
8.4%
Latin 44
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
 
5.8%
관 62
 
3.4%
사 52
 
2.8%
인 46
 
2.5%
이 44
 
2.4%
장 42
 
2.3%
원 37
 
2.0%
지 35
 
1.9%
고 34
 
1.9%
천 32
 
1.8%
Other values (262) 1337
73.2%
Common
ValueCountFrequency (%)
46
26.7%
1 27
15.7%
( 21
12.2%
) 20
11.6%
2 12
 
7.0%
- 11
 
6.4%
9 6
 
3.5%
3 6
 
3.5%
4 5
 
2.9%
6 4
 
2.3%
Other values (7) 14
 
8.1%
Latin
ValueCountFrequency (%)
B 13
29.5%
A 10
22.7%
C 4
 
9.1%
I 3
 
6.8%
P 2
 
4.5%
T 2
 
4.5%
h 1
 
2.3%
p 1
 
2.3%
o 1
 
2.3%
S 1
 
2.3%
Other values (6) 6
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1826
89.4%
ASCII 216
 
10.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 106
 
5.8%
관 62
 
3.4%
사 52
 
2.8%
인 46
 
2.5%
이 44
 
2.4%
장 42
 
2.3%
원 37
 
2.0%
지 35
 
1.9%
고 34
 
1.9%
천 32
 
1.8%
Other values (261) 1336
73.2%
ASCII
ValueCountFrequency (%)
46
21.3%
1 27
12.5%
( 21
9.7%
) 20
9.3%
B 13
 
6.0%
2 12
 
5.6%
- 11
 
5.1%
A 10
 
4.6%
9 6
 
2.8%
3 6
 
2.8%
Other values (23) 44
20.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct226
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T00:19:36.801941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length26.102902
Min length8

Characters and Unicode

Total characters9893
Distinct characters170
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

Unique176 ?
Unique (%)46.4%

Sample

1st row인천광역시 중구 공항로424번길 66 (운서동, LG인천공항에클라트)
2nd row인천광역시 중구 용유서로 379 (을왕동)
3rd row인천광역시 중구 공항로424번길 48-27 (운서동)
4th row인천광역시 중구 공항로424번길 72 (운서동)
5th row인천광역시 중구 영종대로 100 (운서동)
ValueCountFrequency (%)
인천광역시 379
19.9%
중구 379
19.9%
운서동 76
 
4.0%
항동7가 73
 
3.8%
운북동 35
 
1.8%
10 34
 
1.8%
서해대로 32
 
1.7%
신흥동3가 31
 
1.6%
공항로 26
 
1.4%
북성동1가 25
 
1.3%
Other values (342) 816
42.8%
2023-12-13T00:19:37.311664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1527
 
15.4%
인 433
 
4.4%
중 406
 
4.1%
천 394
 
4.0%
동 389
 
3.9%
시 382
 
3.9%
구 381
 
3.9%
광 380
 
3.8%
역 379
 
3.8%
( 374
 
3.8%
Other values (160) 4848
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5891
59.5%
Decimal Number 1638
 
16.6%
Space Separator 1527
 
15.4%
Open Punctuation 374
 
3.8%
Close Punctuation 374
 
3.8%
Dash Punctuation 50
 
0.5%
Other Punctuation 37
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 433
 
7.4%
중 406
 
6.9%
천 394
 
6.7%
동 389
 
6.6%
시 382
 
6.5%
구 381
 
6.5%
광 380
 
6.5%
역 379
 
6.4%
로 367
 
6.2%
항 216
 
3.7%
Other values (143) 2164
36.7%
Decimal Number
ValueCountFrequency (%)
1 349
21.3%
7 270
16.5%
2 220
13.4%
4 173
10.6%
3 173
10.6%
0 136
 
8.3%
6 89
 
5.4%
8 88
 
5.4%
5 75
 
4.6%
9 65
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
1527
100.0%
Open Punctuation
ValueCountFrequency (%)
( 374
100.0%
Close Punctuation
ValueCountFrequency (%)
) 374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5891
59.5%
Common 4000
40.4%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 433
 
7.4%
중 406
 
6.9%
천 394
 
6.7%
동 389
 
6.6%
시 382
 
6.5%
구 381
 
6.5%
광 380
 
6.5%
역 379
 
6.4%
로 367
 
6.2%
항 216
 
3.7%
Other values (143) 2164
36.7%
Common
ValueCountFrequency (%)
1527
38.2%
( 374
 
9.3%
) 374
 
9.3%
1 349
 
8.7%
7 270
 
6.8%
2 220
 
5.5%
4 173
 
4.3%
3 173
 
4.3%
0 136
 
3.4%
6 89
 
2.2%
Other values (5) 315
 
7.9%
Latin
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5891
59.5%
ASCII 4002
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1527
38.2%
( 374
 
9.3%
) 374
 
9.3%
1 349
 
8.7%
7 270
 
6.7%
2 220
 
5.5%
4 173
 
4.3%
3 173
 
4.3%
0 136
 
3.4%
6 89
 
2.2%
Other values (7) 317
 
7.9%
Hangul
ValueCountFrequency (%)
인 433
 
7.4%
중 406
 
6.9%
천 394
 
6.7%
동 389
 
6.6%
시 382
 
6.5%
구 381
 
6.5%
광 380
 
6.5%
역 379
 
6.4%
로 367
 
6.2%
항 216
 
3.7%
Other values (143) 2164
36.7%

석면건축물여부
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
해당없음
311 
해당
68 

Length

Max length4
Median length4
Mean length3.6411609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 311
82.1%
해당 68
 
17.9%

Length

2023-12-13T00:19:37.501797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:19:37.676027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 311
82.1%
해당 68
 
17.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2023-08-25 00:00:00
Maximum2023-08-25 00:00:00
2023-12-13T00:19:37.793288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:19:37.919752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:19:33.512053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:19:38.032221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분석면건축물여부
번호1.0000.7390.255
구분0.7391.0000.079
석면건축물여부0.2550.0791.000
2023-12-13T00:19:38.177027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분석면건축물여부
구분1.0000.097
석면건축물여부0.0971.000
2023-12-13T00:19:38.308895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분석면건축물여부
번호1.0000.3940.193
구분0.3941.0000.097
석면건축물여부0.1930.0971.000

Missing values

2023-12-13T00:19:33.660171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:19:33.816999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호구분건축물명(상호)동명주소석면건축물여부데이터기준일자
01불특정다수이용열성오피스텔엘지에클라트인천광역시 중구 공항로424번길 66 (운서동, LG인천공항에클라트)해당없음2023-08-25
12불특정다수이용㈜골든스카이㈜골든스카이인천광역시 중구 용유서로 379 (을왕동)해당없음2023-08-25
23불특정다수이용베스트웨스턴호텔베스트웨스턴호텔인천광역시 중구 공항로424번길 48-27 (운서동)해당없음2023-08-25
34불특정다수이용IBC디오빌IBC디오빌인천광역시 중구 공항로424번길 72 (운서동)해당없음2023-08-25
45불특정다수이용24시불가마사우나24시불가마사우나인천광역시 중구 영종대로 100 (운서동)해당없음2023-08-25
56불특정다수이용(주)에어포트로얄프라자지하1층 이마트인천광역시 중구 공항로424번길 47 (운서동)해당없음2023-08-25
67불특정다수이용그랜드하얏트인천호텔주차장인천광역시 중구 영종해안남로321번길 208 (운서동)해당없음2023-08-25
78불특정다수이용힐락암요양병원힐락암요양병원인천광역시 중구 영종대로 106 (운서동)해당2023-08-25
89불특정다수이용㈜에어포트로얄프라자주차장인천광역시 중구 공항로424번길 47 (운서동)해당없음2023-08-25
910기타엔죠이쇼핑몰(경륜장)<NA>인천광역시 중구 참외전로 125(인현동)해당없음2023-08-25
번호구분건축물명(상호)동명주소석면건축물여부데이터기준일자
369370어린이집구립 갈매기어린이집구립 비둘기어린이집인천광역시 중구 도산로 21, 도원동주민자치센터구립갈매기어린이집 (도원동)해당없음2023-08-25
370371어린이집구립신흥아이파크어린이집구립신흥아이파크어린이집인천광역시 중구 인항로 30, 관리동 1층 (신흥동3가, 신흥아이파크)해당없음2023-08-25
371372공공건축물인천국제공항공사(주변전소A)인천국제공항공사(주변전소A)인천광역시 중구 공항로 272, 인천공항 (운서동)해당없음2023-08-25
372373불특정다수이용인하대학병원(병원동)인하대학병원(병원동)인천광역시 중구 인항로 27-0 (인하대학병원) (인하대학병원)인하대학병원해당2023-08-25
373374불특정다수이용인하대학병원(주차장)인하대학교의과대학부속병원(주차장)인천광역시 중구 인항로 27-0 (인하대학병원) (인하대학병원)인하대학병원해당없음2023-08-25
374375공공건축물기상대본부기상대본부인천광역시 중구 공항로 272, 인천공항 (운서동)해당없음2023-08-25
375376공공건축물인천국제공항공사(T1버스종사자 휴게소)T1버스종사자 휴게소인천광역시 중구 공항로424번길 47, 인천국제공항정부합동청사 (운서동)해당없음2023-08-25
376377공공건축물교통센터교통센터인천광역시 중구 공항로 272-0 (인천국제공항여객터미널) (인천공항세관)해당없음2023-08-25
377378공공건축물영종하늘도서관영종하늘도서관인천광역시 중구 하늘중앙로 132, 영종하늘도서관 (중산동)해당없음2023-08-25
378379공공건축물지상조업장비정비시설B지상조업장비정비시설B인천광역시 중구 공항로 272, 인천공항 (운서동)외 325필지해당2023-08-25