Overview

Dataset statistics

Number of variables7
Number of observations97
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory60.4 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description연수구 관내 많은 사람들이 이용하는 시설 위치, 시설군 형태, 면적(㎡) 등 다중이용시설 현황 안내 (어린이집, 요양원, PC방 등)
URLhttps://www.data.go.kr/data/15066945/fileData.do

Alerts

연번 is highly overall correlated with 시설군 형태High correlation
시설군 형태 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:51:08.678956
Analysis finished2023-12-12 09:51:10.703142
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T18:51:10.805265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q125
median49
Q373
95-th percentile92.2
Maximum97
Range96
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.145456
Coefficient of variation (CV)0.57439705
Kurtosis-1.2
Mean49
Median Absolute Deviation (MAD)24
Skewness0
Sum4753
Variance792.16667
MonotonicityStrictly increasing
2023-12-12T18:51:10.982874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
74 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

시설명
Text

Distinct93
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T18:51:11.239026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.4536082
Min length3

Characters and Unicode

Total characters723
Distinct characters207
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

Unique89 ?
Unique (%)91.8%

Sample

1st row롯데마트 연수점
2nd row이마트 연수점
3rd row홈플러스 인천연수점
4th row스퀘어 원
5th rowLF SQUARE 인천점
ValueCountFrequency (%)
연수점 5
 
3.8%
pc 3
 
2.3%
롯데마트 2
 
1.5%
키즈카페 2
 
1.5%
인천 2
 
1.5%
bob 2
 
1.5%
cafe 2
 
1.5%
이마트 2
 
1.5%
동춘동 2
 
1.5%
나사렛의료재단 2
 
1.5%
Other values (102) 107
81.7%
2023-12-12T18:51:11.705278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
4.8%
이 29
 
4.0%
어 23
 
3.2%
원 23
 
3.2%
린 23
 
3.2%
집 20
 
2.8%
수 17
 
2.4%
인 17
 
2.4%
연 16
 
2.2%
천 13
 
1.8%
Other values (197) 507
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
87.3%
Uppercase Letter 47
 
6.5%
Space Separator 35
 
4.8%
Decimal Number 6
 
0.8%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 29
 
4.6%
어 23
 
3.6%
원 23
 
3.6%
린 23
 
3.6%
집 20
 
3.2%
수 17
 
2.7%
인 17
 
2.7%
연 16
 
2.5%
천 13
 
2.1%
병 12
 
1.9%
Other values (172) 438
69.4%
Uppercase Letter
ValueCountFrequency (%)
C 10
21.3%
P 6
12.8%
A 5
10.6%
B 4
 
8.5%
E 3
 
6.4%
F 3
 
6.4%
S 2
 
4.3%
V 2
 
4.3%
R 2
 
4.3%
G 2
 
4.3%
Other values (7) 8
17.0%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
5 1
16.7%
1 1
16.7%
3 1
16.7%
4 1
16.7%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 631
87.3%
Latin 47
 
6.5%
Common 45
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 29
 
4.6%
어 23
 
3.6%
원 23
 
3.6%
린 23
 
3.6%
집 20
 
3.2%
수 17
 
2.7%
인 17
 
2.7%
연 16
 
2.5%
천 13
 
2.1%
병 12
 
1.9%
Other values (172) 438
69.4%
Latin
ValueCountFrequency (%)
C 10
21.3%
P 6
12.8%
A 5
10.6%
B 4
 
8.5%
E 3
 
6.4%
F 3
 
6.4%
S 2
 
4.3%
V 2
 
4.3%
R 2
 
4.3%
G 2
 
4.3%
Other values (7) 8
17.0%
Common
ValueCountFrequency (%)
35
77.8%
) 2
 
4.4%
( 2
 
4.4%
2 2
 
4.4%
5 1
 
2.2%
1 1
 
2.2%
3 1
 
2.2%
4 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
87.3%
ASCII 92
 
12.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
38.0%
C 10
 
10.9%
P 6
 
6.5%
A 5
 
5.4%
B 4
 
4.3%
E 3
 
3.3%
F 3
 
3.3%
) 2
 
2.2%
( 2
 
2.2%
S 2
 
2.2%
Other values (15) 20
21.7%
Hangul
ValueCountFrequency (%)
이 29
 
4.6%
어 23
 
3.6%
원 23
 
3.6%
린 23
 
3.6%
집 20
 
3.2%
수 17
 
2.7%
인 17
 
2.7%
연 16
 
2.5%
천 13
 
2.1%
병 12
 
1.9%
Other values (172) 438
69.4%

시설군 형태
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size908.0 B
실내주차장
30 
어린이집
20 
의료기관
10 
노인요양시설
8 
인터넷컴퓨터게임시설제공업
7 
Other values (8)
22 

Length

Max length13
Median length10
Mean length5.4329897
Min length3

Unique

Unique3 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
실내주차장 30
30.9%
어린이집 20
20.6%
의료기관 10
 
10.3%
노인요양시설 8
 
8.2%
인터넷컴퓨터게임시설제공업 7
 
7.2%
지하역사 6
 
6.2%
대규모점포 5
 
5.2%
실내 어린이놀이시설 4
 
4.1%
목욕장업 2
 
2.1%
영화상영관 2
 
2.1%
Other values (3) 3
 
3.1%

Length

2023-12-12T18:51:11.874647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내주차장 30
29.7%
어린이집 20
19.8%
의료기관 10
 
9.9%
노인요양시설 8
 
7.9%
인터넷컴퓨터게임시설제공업 7
 
6.9%
지하역사 6
 
5.9%
대규모점포 5
 
5.0%
실내 4
 
4.0%
어린이놀이시설 4
 
4.0%
목욕장업 2
 
2.0%
Other values (4) 5
 
5.0%

시설면적(제곱미터)
Text

Distinct96
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T18:51:12.185016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.9072165
Min length3

Characters and Unicode

Total characters573
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)97.9%

Sample

1st row9197
2nd row18016
3rd row27543
4th row88351
5th row13540
ValueCountFrequency (%)
2209.29 2
 
2.1%
3189.29 1
 
1.0%
2356.07 1
 
1.0%
2504.24 1
 
1.0%
3470.15 1
 
1.0%
2866.06 1
 
1.0%
5,830.93㎡ 1
 
1.0%
5343.98㎡ 1
 
1.0%
382.8 1
 
1.0%
352.2 1
 
1.0%
Other values (86) 86
88.7%
2023-12-12T18:51:12.639127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 69
12.0%
2 63
11.0%
8 59
10.3%
3 57
9.9%
1 56
9.8%
5 51
8.9%
4 48
8.4%
9 44
7.7%
6 43
7.5%
0 40
7.0%
Other values (3) 43
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 501
87.4%
Other Punctuation 70
 
12.2%
Other Symbol 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
12.6%
8 59
11.8%
3 57
11.4%
1 56
11.2%
5 51
10.2%
4 48
9.6%
9 44
8.8%
6 43
8.6%
0 40
8.0%
7 40
8.0%
Other Punctuation
ValueCountFrequency (%)
. 69
98.6%
, 1
 
1.4%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 573
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 69
12.0%
2 63
11.0%
8 59
10.3%
3 57
9.9%
1 56
9.8%
5 51
8.9%
4 48
8.4%
9 44
7.7%
6 43
7.5%
0 40
7.0%
Other values (3) 43
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
99.7%
CJK Compat 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 69
12.1%
2 63
11.0%
8 59
10.3%
3 57
10.0%
1 56
9.8%
5 51
8.9%
4 48
8.4%
9 44
7.7%
6 43
7.5%
0 40
7.0%
Other values (2) 41
7.2%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

위 치 (주 소)
Text

Distinct81
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T18:51:13.004787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length18.546392
Min length14

Characters and Unicode

Total characters1799
Distinct characters69
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

Unique71 ?
Unique (%)73.2%

Sample

1st row인천광역시 연수구 청능대로 87
2nd row인천광역시 연수구 경원대로 184
3rd row인천광역시 연수구 청능대로 210
4th row인천광역시 연수구 청능대로 210
5th row인천광역시 연수구 청능대로23번길 11
ValueCountFrequency (%)
인천광역시 97
25.1%
연수구 96
24.8%
청능대로 13
 
3.4%
원인재로 10
 
2.6%
경원대로 8
 
2.1%
먼우금로 7
 
1.8%
210 6
 
1.6%
벚꽃로 5
 
1.3%
263 4
 
1.0%
11 4
 
1.0%
Other values (112) 137
35.4%
2023-12-12T18:51:13.498456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
16.1%
인 108
 
6.0%
시 97
 
5.4%
로 97
 
5.4%
천 97
 
5.4%
역 97
 
5.4%
광 97
 
5.4%
수 96
 
5.3%
구 96
 
5.3%
연 96
 
5.3%
Other values (59) 628
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1188
66.0%
Decimal Number 314
 
17.5%
Space Separator 290
 
16.1%
Dash Punctuation 7
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 108
 
9.1%
시 97
 
8.2%
로 97
 
8.2%
천 97
 
8.2%
역 97
 
8.2%
광 97
 
8.2%
수 96
 
8.1%
구 96
 
8.1%
연 96
 
8.1%
길 30
 
2.5%
Other values (47) 277
23.3%
Decimal Number
ValueCountFrequency (%)
1 79
25.2%
2 46
14.6%
0 30
 
9.6%
9 26
 
8.3%
8 25
 
8.0%
3 25
 
8.0%
4 25
 
8.0%
6 23
 
7.3%
5 19
 
6.1%
7 16
 
5.1%
Space Separator
ValueCountFrequency (%)
290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1188
66.0%
Common 611
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 108
 
9.1%
시 97
 
8.2%
로 97
 
8.2%
천 97
 
8.2%
역 97
 
8.2%
광 97
 
8.2%
수 96
 
8.1%
구 96
 
8.1%
연 96
 
8.1%
길 30
 
2.5%
Other values (47) 277
23.3%
Common
ValueCountFrequency (%)
290
47.5%
1 79
 
12.9%
2 46
 
7.5%
0 30
 
4.9%
9 26
 
4.3%
8 25
 
4.1%
3 25
 
4.1%
4 25
 
4.1%
6 23
 
3.8%
5 19
 
3.1%
Other values (2) 23
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1188
66.0%
ASCII 611
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
47.5%
1 79
 
12.9%
2 46
 
7.5%
0 30
 
4.9%
9 26
 
4.3%
8 25
 
4.1%
3 25
 
4.1%
4 25
 
4.1%
6 23
 
3.8%
5 19
 
3.1%
Other values (2) 23
 
3.8%
Hangul
ValueCountFrequency (%)
인 108
 
9.1%
시 97
 
8.2%
로 97
 
8.2%
천 97
 
8.2%
역 97
 
8.2%
광 97
 
8.2%
수 96
 
8.1%
구 96
 
8.1%
연 96
 
8.1%
길 30
 
2.5%
Other values (47) 277
23.3%

위도
Real number (ℝ)

Distinct81
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.416215
Minimum37.398133
Maximum37.435961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T18:51:13.664698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.398133
5-th percentile37.404568
Q137.412752
median37.415428
Q337.420709
95-th percentile37.428859
Maximum37.435961
Range0.0378277
Interquartile range (IQR)0.00795729

Descriptive statistics

Standard deviation0.007797892
Coefficient of variation (CV)0.00020840943
Kurtosis0.124669
Mean37.416215
Median Absolute Deviation (MAD)0.00387522
Skewness0.30816393
Sum3629.3729
Variance6.0807119 × 10-5
MonotonicityNot monotonic
2023-12-12T18:51:13.837689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.40599816 5
 
5.2%
37.41841971 4
 
4.1%
37.41709466 3
 
3.1%
37.41512236 2
 
2.1%
37.41866177 2
 
2.1%
37.4042186 2
 
2.1%
37.40794902 2
 
2.1%
37.41762958 2
 
2.1%
37.41298669 2
 
2.1%
37.40949381 2
 
2.1%
Other values (71) 71
73.2%
ValueCountFrequency (%)
37.398133 1
 
1.0%
37.40072324 1
 
1.0%
37.40238843 1
 
1.0%
37.4042186 2
 
2.1%
37.404655 1
 
1.0%
37.405951 1
 
1.0%
37.40599816 5
5.2%
37.40669438 1
 
1.0%
37.40697214 1
 
1.0%
37.40711121 1
 
1.0%
ValueCountFrequency (%)
37.4359607 1
1.0%
37.435467 1
1.0%
37.43491827 1
1.0%
37.434574 1
1.0%
37.42947773 1
1.0%
37.42870471 1
1.0%
37.42754772 1
1.0%
37.42749182 1
1.0%
37.426878 1
1.0%
37.42639094 1
1.0%

경도
Real number (ℝ)

Distinct81
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67536
Minimum126.64269
Maximum126.70271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T18:51:14.035424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64269
5-th percentile126.64651
Q1126.66913
median126.67672
Q3126.68362
95-th percentile126.69891
Maximum126.70271
Range0.0600283
Interquartile range (IQR)0.0144943

Descriptive statistics

Standard deviation0.013966905
Coefficient of variation (CV)0.00011025747
Kurtosis0.1148671
Mean126.67536
Median Absolute Deviation (MAD)0.0069027
Skewness-0.46232365
Sum12287.51
Variance0.00019507443
MonotonicityNot monotonic
2023-12-12T18:51:14.275095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6836221 5
 
5.2%
126.6895889 4
 
4.1%
126.6780928 3
 
3.1%
126.6751703 2
 
2.1%
126.6689811 2
 
2.1%
126.6811196 2
 
2.1%
126.6704838 2
 
2.1%
126.6772294 2
 
2.1%
126.6767194 2
 
2.1%
126.6783379 2
 
2.1%
Other values (71) 71
73.2%
ValueCountFrequency (%)
126.6426857 1
1.0%
126.6444313 1
1.0%
126.6456361 1
1.0%
126.6457327 1
1.0%
126.6462476 1
1.0%
126.6465743 1
1.0%
126.6468464 1
1.0%
126.6511367 1
1.0%
126.6520154 1
1.0%
126.653055 1
1.0%
ValueCountFrequency (%)
126.702714 1
 
1.0%
126.7026999 1
 
1.0%
126.7015051 1
 
1.0%
126.7006837 1
 
1.0%
126.698919 1
 
1.0%
126.6989091 1
 
1.0%
126.698411 1
 
1.0%
126.6949386 1
 
1.0%
126.693918 1
 
1.0%
126.6895889 4
4.1%

Interactions

2023-12-12T18:51:10.081117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:09.517891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:09.771723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:10.200212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:09.596741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:09.869353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:10.336934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:09.682260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:51:09.977429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:51:14.380147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명시설군 형태시설면적(제곱미터)위 치 (주 소)위도경도
연번1.0000.7080.9170.9360.2580.0720.124
시설명0.7081.0000.9440.9971.0001.0001.000
시설군 형태0.9170.9441.0001.0000.7630.0660.340
시설면적(제곱미터)0.9360.9971.0001.0000.9940.9530.984
위 치 (주 소)0.2581.0000.7630.9941.0001.0001.000
위도0.0721.0000.0660.9531.0001.0000.866
경도0.1241.0000.3400.9841.0000.8661.000
2023-12-12T18:51:14.509207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도시설군 형태
연번1.000-0.089-0.0240.699
위도-0.0891.0000.0000.000
경도-0.0240.0001.0000.140
시설군 형태0.6990.0000.1401.000

Missing values

2023-12-12T18:51:10.497439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:51:10.649359image/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

연번시설명시설군 형태시설면적(제곱미터)위 치 (주 소)위도경도
01롯데마트 연수점대규모점포9197인천광역시 연수구 청능대로 8737.415122126.67517
12이마트 연수점대규모점포18016인천광역시 연수구 경원대로 18437.404219126.68112
23홈플러스 인천연수점대규모점포27543인천광역시 연수구 청능대로 21037.405998126.683622
34스퀘어 원대규모점포88351인천광역시 연수구 청능대로 21037.405998126.683622
45LF SQUARE 인천점대규모점포13540인천광역시 연수구 청능대로23번길 1137.418662126.668981
56우리산후조리원산후조리원800.69인천광역시 연수구 앵고개로 26037.407666126.672292
67진부령 한증막목욕장업1478.09인천광역시 연수구 청량로97번길 4137.415416126.654608
78선학스파24시불한증막사우나목욕장업2122.9인천광역시 연수구 선학로 10137.425613126.700684
89구립늘품어린이집어린이집1104인천광역시 연수구 봉재산로54번길 3037.407825126.664055
910구립초록숲어린이집어린이집857인천광역시 연수구 함박안로 21737.425982126.687162
연번시설명시설군 형태시설면적(제곱미터)위 치 (주 소)위도경도
8788샘말공원지하공영주차장실내주차장2138.85인천광역시 연수구 샘말로 68-537.414036126.680404
8889브랫슬실내주차장4949.24인천광역시 연수구 벚꽃로 11437.417095126.678093
8990롯데슈퍼연수점실내주차장5314.11인천광역시 연수구 앵고개로 26637.406972126.67282
9091롯데마트 연수점실내주차장8801.09인천광역시 연수구 청능대로 8737.415122126.67517
9192두손이리옴3실내주차장2798.9인천광역시 연수구 먼우금로188번길 1237.413411126.676506
9293두손이리옴1실내주차장2466.89인천광역시 연수구 청능대로 9337.414319126.675667
9394광장프라자실내주차장6592.34인천광역시 연수구 벚꽃로 10637.41763126.677229
9495동춘동 공영주차장실내주차장2209.29인천광역시 연수구 앵고개로246번길 7-1437.407784126.671544
9596지젤하우스실내주차장6013.43인천광역시 연수구 경원대로 29437.412752126.689178
9697연수프라자실내주차장2757.24인천광역시 연수구 먼우금로 19037.414053126.676715