Overview

Dataset statistics

Number of variables8
Number of observations81
Missing cells17
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory67.6 B

Variable types

Text2
Numeric2
Categorical4

Alerts

데이터기준일자 has constant value ""Constant
담당부서 is highly overall correlated with 연면적(제곱미터) and 3 other fieldsHigh correlation
전화번호 is highly overall correlated with 연면적(제곱미터) and 3 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 건축면적(제곱미터) and 3 other fieldsHigh correlation
건축면적(제곱미터) is highly overall correlated with 연면적(제곱미터) and 3 other fieldsHigh correlation
규모 is highly overall correlated with 연면적(제곱미터) and 3 other fieldsHigh correlation
건축면적(제곱미터) has 17 (21.0%) missing valuesMissing
건축물 명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:12:10.889865
Analysis finished2024-03-18 05:12:13.462791
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물 명칭
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-03-18T14:12:13.635833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.5185185
Min length3

Characters and Unicode

Total characters771
Distinct characters166
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

Unique81 ?
Unique (%)100.0%

Sample

1st row강화고인돌체육관
2nd row강화아시아드BMX경기장
3rd row영종공원 관리사무실 1동
4th row영종공원 관리사무실 2동
5th row영종공원 화장실/개수대 3동
ValueCountFrequency (%)
영종공원 16
 
11.0%
송도공원 11
 
7.6%
공영주차장 9
 
6.2%
화장실 6
 
4.1%
박석공원 3
 
2.1%
청소년수련관 3
 
2.1%
관리사무실 2
 
1.4%
카페테리아 2
 
1.4%
관리사무소 2
 
1.4%
갯벌문화관 1
 
0.7%
Other values (90) 90
62.1%
2024-03-18T14:12:13.983844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
8.6%
공 46
 
6.0%
원 38
 
4.9%
장 31
 
4.0%
도 27
 
3.5%
영 25
 
3.2%
관 23
 
3.0%
동 22
 
2.9%
화 19
 
2.5%
지 19
 
2.5%
Other values (156) 455
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 663
86.0%
Space Separator 66
 
8.6%
Decimal Number 29
 
3.8%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Uppercase Letter 3
 
0.4%
Other Punctuation 2
 
0.3%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 46
 
6.9%
원 38
 
5.7%
장 31
 
4.7%
도 27
 
4.1%
영 25
 
3.8%
관 23
 
3.5%
동 22
 
3.3%
화 19
 
2.9%
지 19
 
2.9%
하 17
 
2.6%
Other values (138) 396
59.7%
Decimal Number
ValueCountFrequency (%)
1 11
37.9%
2 5
17.2%
4 3
 
10.3%
8 2
 
6.9%
3 2
 
6.9%
6 2
 
6.9%
0 1
 
3.4%
5 1
 
3.4%
9 1
 
3.4%
7 1
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
X 1
33.3%
B 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 663
86.0%
Common 105
 
13.6%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 46
 
6.9%
원 38
 
5.7%
장 31
 
4.7%
도 27
 
4.1%
영 25
 
3.8%
관 23
 
3.5%
동 22
 
3.3%
화 19
 
2.9%
지 19
 
2.9%
하 17
 
2.6%
Other values (138) 396
59.7%
Common
ValueCountFrequency (%)
66
62.9%
1 11
 
10.5%
2 5
 
4.8%
( 3
 
2.9%
) 3
 
2.9%
4 3
 
2.9%
/ 2
 
1.9%
8 2
 
1.9%
- 2
 
1.9%
3 2
 
1.9%
Other values (5) 6
 
5.7%
Latin
ValueCountFrequency (%)
X 1
33.3%
B 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 663
86.0%
ASCII 108
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
61.1%
1 11
 
10.2%
2 5
 
4.6%
( 3
 
2.8%
) 3
 
2.8%
4 3
 
2.8%
/ 2
 
1.9%
8 2
 
1.9%
- 2
 
1.9%
3 2
 
1.9%
Other values (8) 9
 
8.3%
Hangul
ValueCountFrequency (%)
공 46
 
6.9%
원 38
 
5.7%
장 31
 
4.7%
도 27
 
4.1%
영 25
 
3.8%
관 23
 
3.5%
동 22
 
3.3%
화 19
 
2.9%
지 19
 
2.9%
하 17
 
2.6%
Other values (138) 396
59.7%

도로명 주소
Text

Distinct56
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-03-18T14:12:14.221639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length19.308642
Min length15

Characters and Unicode

Total characters1564
Distinct characters109
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)60.5%

Sample

1st row인천광역시 강화군 강화읍 강화대로 603
2nd row인천광역시 강화군 강화읍 강화대로 600
3rd row인천광역시 중구 큰말로23 (운남동)
4th row인천광역시 중구 큰말로23 (운남동)
5th row인천광역시 중구 큰말로23 (운남동)
ValueCountFrequency (%)
인천광역시 81
23.1%
중구 28
 
8.0%
연수구 17
 
4.8%
운남동 15
 
4.3%
부평구 13
 
3.7%
지하 13
 
3.7%
큰말로23 11
 
3.1%
평온로 7
 
2.0%
61 7
 
2.0%
계양구 6
 
1.7%
Other values (103) 153
43.6%
2024-03-18T14:12:14.586923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
17.3%
인 84
 
5.4%
시 84
 
5.4%
천 83
 
5.3%
광 82
 
5.2%
역 81
 
5.2%
로 79
 
5.1%
구 79
 
5.1%
2 38
 
2.4%
중 35
 
2.2%
Other values (99) 649
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1028
65.7%
Space Separator 270
 
17.3%
Decimal Number 218
 
13.9%
Open Punctuation 21
 
1.3%
Close Punctuation 21
 
1.3%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 84
 
8.2%
시 84
 
8.2%
천 83
 
8.1%
광 82
 
8.0%
역 81
 
7.9%
로 79
 
7.7%
구 79
 
7.7%
중 35
 
3.4%
동 31
 
3.0%
남 23
 
2.2%
Other values (85) 367
35.7%
Decimal Number
ValueCountFrequency (%)
2 38
17.4%
1 35
16.1%
3 30
13.8%
0 22
10.1%
5 22
10.1%
6 22
10.1%
8 16
7.3%
4 16
7.3%
9 10
 
4.6%
7 7
 
3.2%
Space Separator
ValueCountFrequency (%)
270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1028
65.7%
Common 536
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 84
 
8.2%
시 84
 
8.2%
천 83
 
8.1%
광 82
 
8.0%
역 81
 
7.9%
로 79
 
7.7%
구 79
 
7.7%
중 35
 
3.4%
동 31
 
3.0%
남 23
 
2.2%
Other values (85) 367
35.7%
Common
ValueCountFrequency (%)
270
50.4%
2 38
 
7.1%
1 35
 
6.5%
3 30
 
5.6%
0 22
 
4.1%
5 22
 
4.1%
6 22
 
4.1%
( 21
 
3.9%
) 21
 
3.9%
8 16
 
3.0%
Other values (4) 39
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1028
65.7%
ASCII 536
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
50.4%
2 38
 
7.1%
1 35
 
6.5%
3 30
 
5.6%
0 22
 
4.1%
5 22
 
4.1%
6 22
 
4.1%
( 21
 
3.9%
) 21
 
3.9%
8 16
 
3.0%
Other values (4) 39
 
7.3%
Hangul
ValueCountFrequency (%)
인 84
 
8.2%
시 84
 
8.2%
천 83
 
8.1%
광 82
 
8.0%
역 81
 
7.9%
로 79
 
7.7%
구 79
 
7.7%
중 35
 
3.4%
동 31
 
3.0%
남 23
 
2.2%
Other values (85) 367
35.7%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct79
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6020.6283
Minimum23.63
Maximum110153.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-03-18T14:12:14.713665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.63
5-th percentile28.2
Q1160.26
median2146.35
Q35451.97
95-th percentile21056.76
Maximum110153.08
Range110129.45
Interquartile range (IQR)5291.71

Descriptive statistics

Standard deviation13857.797
Coefficient of variation (CV)2.3017194
Kurtosis40.773536
Mean6020.6283
Median Absolute Deviation (MAD)2093.6
Skewness5.7961634
Sum487670.89
Variance1.9203854 × 108
MonotonicityNot monotonic
2024-03-18T14:12:14.829616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.8 2
 
2.5%
975.92 2
 
2.5%
16200.25 1
 
1.2%
2297.64 1
 
1.2%
21056.76 1
 
1.2%
1533.05 1
 
1.2%
4810.6 1
 
1.2%
4357.5 1
 
1.2%
9496.53 1
 
1.2%
10884.16 1
 
1.2%
Other values (69) 69
85.2%
ValueCountFrequency (%)
23.63 1
1.2%
25.55 1
1.2%
26.4 1
1.2%
27.2 1
1.2%
28.2 1
1.2%
28.7 1
1.2%
28.98 1
1.2%
38.76 1
1.2%
39.36 1
1.2%
43.7 1
1.2%
ValueCountFrequency (%)
110153.08 1
1.2%
43029.12 1
1.2%
31692.88 1
1.2%
22734.51 1
1.2%
21056.76 1
1.2%
18718.68 1
1.2%
17845.03 1
1.2%
16200.25 1
1.2%
14998.0 1
1.2%
12679.27 1
1.2%

건축면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct63
Distinct (%)98.4%
Missing17
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean4227.2306
Minimum7.5
Maximum98878.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-03-18T14:12:14.950241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile26.52
Q152.4075
median476.875
Q32291.365
95-th percentile9135.995
Maximum98878.67
Range98871.17
Interquartile range (IQR)2238.9575

Descriptive statistics

Standard deviation15557.559
Coefficient of variation (CV)3.6803194
Kurtosis29.717413
Mean4227.2306
Median Absolute Deviation (MAD)448.035
Skewness5.4432806
Sum270542.76
Variance2.4203763 × 108
MonotonicityNot monotonic
2024-03-18T14:12:15.090242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.8 2
 
2.5%
2450.0 1
 
1.2%
464.68 1
 
1.2%
1143.34 1
 
1.2%
255.3 1
 
1.2%
86.87 1
 
1.2%
51.38 1
 
1.2%
44.25 1
 
1.2%
69.5 1
 
1.2%
7.5 1
 
1.2%
Other values (53) 53
65.4%
(Missing) 17
 
21.0%
ValueCountFrequency (%)
7.5 1
1.2%
23.63 1
1.2%
25.55 1
1.2%
26.4 1
1.2%
27.2 1
1.2%
28.2 1
1.2%
28.7 1
1.2%
28.98 1
1.2%
38.76 1
1.2%
39.36 1
1.2%
ValueCountFrequency (%)
98878.67 1
1.2%
78235.77 1
1.2%
9466.05 1
1.2%
9333.02 1
1.2%
8019.52 1
1.2%
7880.85 1
1.2%
6909.69 1
1.2%
6357.36 1
1.2%
4287.39 1
1.2%
3824.59 1
1.2%

규모
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
1층
24 
지하1층
16 
총 4층(지하1층, 지상3층)
10 
총 3층(지하1층, 지상2층)
7 
2층
7 
Other values (8)
17 

Length

Max length16
Median length4
Mean length7.308642
Min length2

Unique

Unique5 ?
Unique (%)6.2%

Sample

1st row총 5층(지하2층, 지상3층)
2nd row총 3층(지하1층, 지상2층)
3rd row1층
4th row1층
5th row1층

Common Values

ValueCountFrequency (%)
1층 24
29.6%
지하1층 16
19.8%
총 4층(지하1층, 지상3층) 10
12.3%
총 3층(지하1층, 지상2층) 7
 
8.6%
2층 7
 
8.6%
총 5층(지하2층, 지상3층) 5
 
6.2%
총 2층(지하1층, 지상1층) 4
 
4.9%
지하2층 3
 
3.7%
4층 1
 
1.2%
총 6층(지하1층, 지상5층) 1
 
1.2%
Other values (3) 3
 
3.7%

Length

2024-03-18T14:12:15.224615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
총 28
20.4%
1층 24
17.5%
지하1층 16
11.7%
지상3층 15
10.9%
4층(지하1층 10
 
7.3%
3층(지하1층 7
 
5.1%
지상2층 7
 
5.1%
2층 7
 
5.1%
5층(지하2층 5
 
3.6%
지상1층 4
 
2.9%
Other values (9) 14
10.2%

담당부서
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
영종공원사업단
20 
상가주차사업단 지하도상가팀
15 
송도공원사업단
13 
상가주차사업단 주차팀
9 
가족공원사업단
7 
Other values (11)
17 

Length

Max length17
Median length7
Mean length9.6419753
Min length6

Unique

Unique7 ?
Unique (%)8.6%

Sample

1st row아시아드경기장사업단 강화경기장팀
2nd row아시아드경기장사업단 강화경기장팀
3rd row영종공원사업단
4th row영종공원사업단
5th row영종공원사업단

Common Values

ValueCountFrequency (%)
영종공원사업단 20
24.7%
상가주차사업단 지하도상가팀 15
18.5%
송도공원사업단 13
16.0%
상가주차사업단 주차팀 9
11.1%
가족공원사업단 7
 
8.6%
청소년수련관 3
 
3.7%
계양경기장사업단 계양경기장팀 3
 
3.7%
아시아드경기장사업단 강화경기장팀 2
 
2.5%
노인종합문화회관 2
 
2.5%
영종도시기반사업단 1
 
1.2%
Other values (6) 6
 
7.4%

Length

2024-03-18T14:12:15.343355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상가주차사업단 24
21.2%
영종공원사업단 20
17.7%
지하도상가팀 15
13.3%
송도공원사업단 13
11.5%
주차팀 9
 
8.0%
가족공원사업단 7
 
6.2%
계양경기장사업단 4
 
3.5%
아시아드경기장사업단 4
 
3.5%
계양경기장팀 3
 
2.7%
청소년수련관 3
 
2.7%
Other values (8) 11
9.7%

전화번호
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
456-2765
23 
456-2994
20 
456-2860
13 
456-2345
6 
456-2436
3 
Other values (13)
16 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique11 ?
Unique (%)13.6%

Sample

1st row456-2300
2nd row456-2300
3rd row456-2994
4th row456-2994
5th row456-2994

Common Values

ValueCountFrequency (%)
456-2765 23
28.4%
456-2994 20
24.7%
456-2860 13
16.0%
456-2345 6
 
7.4%
456-2436 3
 
3.7%
456-2260 3
 
3.7%
456-2300 2
 
2.5%
456-2956 1
 
1.2%
456-2663 1
 
1.2%
456-2895 1
 
1.2%
Other values (8) 8
 
9.9%

Length

2024-03-18T14:12:15.457827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
456-2765 23
28.4%
456-2994 20
24.7%
456-2860 13
16.0%
456-2345 6
 
7.4%
456-2436 3
 
3.7%
456-2260 3
 
3.7%
456-2300 2
 
2.5%
456-2200 1
 
1.2%
456-2600 1
 
1.2%
456-2400 1
 
1.2%
Other values (8) 8
 
9.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-03-28
81 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-28
2nd row2023-03-28
3rd row2023-03-28
4th row2023-03-28
5th row2023-03-28

Common Values

ValueCountFrequency (%)
2023-03-28 81
100.0%

Length

2024-03-18T14:12:15.565055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:12:15.657166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-28 81
100.0%

Interactions

2024-03-18T14:12:13.067145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:12:12.851268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:12:13.146236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:12:12.992289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:12:15.720590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물 명칭도로명 주소연면적(제곱미터)건축면적(제곱미터)규모담당부서전화번호
건축물 명칭1.0001.0001.0001.0001.0001.0001.000
도로명 주소1.0001.0000.9941.0000.9811.0000.994
연면적(제곱미터)1.0000.9941.0001.0000.8710.9450.949
건축면적(제곱미터)1.0001.0001.0001.0000.9351.0001.000
규모1.0000.9810.8710.9351.0000.8670.915
담당부서1.0001.0000.9451.0000.8671.0000.995
전화번호1.0000.9940.9491.0000.9150.9951.000
2024-03-18T14:12:15.826401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당부서규모전화번호
담당부서1.0000.5270.945
규모0.5271.0000.608
전화번호0.9450.6081.000
2024-03-18T14:12:15.912888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)건축면적(제곱미터)규모담당부서전화번호
연면적(제곱미터)1.0000.8910.6720.7700.774
건축면적(제곱미터)0.8911.0000.6580.8960.878
규모0.6720.6581.0000.5270.608
담당부서0.7700.8960.5271.0000.945
전화번호0.7740.8780.6080.9451.000

Missing values

2024-03-18T14:12:13.295274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:12:13.404846image/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

건축물 명칭도로명 주소연면적(제곱미터)건축면적(제곱미터)규모담당부서전화번호데이터기준일자
0강화고인돌체육관인천광역시 강화군 강화읍 강화대로 60316200.256357.36총 5층(지하2층, 지상3층)아시아드경기장사업단 강화경기장팀456-23002023-03-28
1강화아시아드BMX경기장인천광역시 강화군 강화읍 강화대로 6002546.72989.53총 3층(지하1층, 지상2층)아시아드경기장사업단 강화경기장팀456-23002023-03-28
2영종공원 관리사무실 1동인천광역시 중구 큰말로23 (운남동)65.6465.641층영종공원사업단456-29942023-03-28
3영종공원 관리사무실 2동인천광역시 중구 큰말로23 (운남동)44.7844.781층영종공원사업단456-29942023-03-28
4영종공원 화장실/개수대 3동인천광역시 중구 큰말로23 (운남동)120.18120.181층영종공원사업단456-29942023-03-28
5영종공원 창고모형-1 4동인천광역시 중구 큰말로23 (운남동)135.0135.01층영종공원사업단456-29942023-03-28
6영종공원 창고모형-2 5동인천광역시 중구 큰말로23 (운남동)52.7552.751층영종공원사업단456-29942023-03-28
7영종공원 숙소모형 6동인천광역시 중구 큰말로23 (운남동)88.588.51층영종공원사업단456-29942023-03-28
8영종공원 화장실 7동인천광역시 중구 큰말로23 (운남동)43.743.71층영종공원사업단456-29942023-03-28
9영종공원 매점/매표소 8동인천광역시 중구 큰말로23 (운남동)28.728.71층영종공원사업단456-29942023-03-28
건축물 명칭도로명 주소연면적(제곱미터)건축면적(제곱미터)규모담당부서전화번호데이터기준일자
71부평중앙지하도상가인천광역시 부평구 시장로 지하 106164.02<NA>지하1층상가주차사업단 지하도상가팀456-27652023-03-28
72부평대아지하도상가인천광역시 부평구 광장로 지하 307631.08<NA>지하2층상가주차사업단 지하도상가팀456-27652023-03-28
73부평시장지하도상가인천광역시 부평구 시장로 지하 425179.6<NA>지하1층상가주차사업단 지하도상가팀456-27652023-03-28
74인천어린이과학관인천광역시 계양구 방축로 2114998.04287.39총 4층(지하1층, 지상3층)인천어린이과학관456-25002023-03-28
75계양체육관인천광역시 계양구 봉오대로 85518718.688019.52총 5층(지하2층, 지상3층)계양경기장사업단 계양경기장팀456-22602023-03-28
76계양아시아드양궁장인천광역시 계양구 봉오대로 8555703.646909.69총 4층(지하1층, 지상3층)계양경기장사업단 계양경기장팀456-22602023-03-28
77인천국제벨로드롬인천광역시 계양구 봉오대로 8553725.492282.9총 3층(지하1층, 지상2층)계양경기장사업단 계양경기장팀456-22602023-03-28
78계산국민체육센터인천광역시 계양구 주부토로 5804814.732635.64총 4층(지하1층, 지상3층)계양경기장사업단 계산체육팀456-26632023-03-28
79계산4 공영주차장인천광역시 계양구 도두리로6번길8464.942865.353층상가주차사업단 주차팀456-27652023-03-28
80아시아드주경기장인천광역시 서구 봉수대로 806110153.0878235.775층아시아드경기장사업단456-21002023-03-28