Overview

Dataset statistics

Number of variables8
Number of observations179
Missing cells7
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory66.7 B

Variable types

Categorical2
Text3
DateTime1
Numeric2

Dataset

Description인천광역시 남동구 경로당 현황에 대한 데이터로 연번, 구분, 경로당명, 전화번호, 등록일, 면적, 회원수, 도로명주소 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077664&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 7 (3.9%) missing valuesMissing

Reproduction

Analysis started2024-01-28 11:40:53.502989
Analysis finished2024-01-28 11:40:54.272287
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Categorical

Distinct20
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
논현고잔동
14 
남촌도림동
13 
서창2동
13 
논현1동
13 
만수6동
12 
Other values (15)
114 

Length

Max length5
Median length4
Mean length4.2122905
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구월1동
2nd row구월1동
3rd row구월1동
4th row구월1동
5th row구월1동

Common Values

ValueCountFrequency (%)
논현고잔동 14
 
7.8%
남촌도림동 13
 
7.3%
서창2동 13
 
7.3%
논현1동 13
 
7.3%
만수6동 12
 
6.7%
논현2동 12
 
6.7%
간석4동 12
 
6.7%
장수서창동 11
 
6.1%
구월1동 11
 
6.1%
간석3동 10
 
5.6%
Other values (10) 58
32.4%

Length

2024-01-28T20:40:54.336891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
논현고잔동 14
 
7.8%
서창2동 13
 
7.3%
논현1동 13
 
7.3%
남촌도림동 13
 
7.3%
만수6동 12
 
6.7%
논현2동 12
 
6.7%
간석4동 12
 
6.7%
장수서창동 11
 
6.1%
구월1동 11
 
6.1%
간석3동 10
 
5.6%
Other values (10) 58
32.4%

구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
사립
133 
구립
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구립
2nd row사립
3rd row사립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
사립 133
74.3%
구립 46
 
25.7%

Length

2024-01-28T20:40:54.430664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:40:54.506628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 133
74.3%
구립 46
 
25.7%

경로당명
Text

Distinct176
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T20:40:54.683692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.9329609
Min length2

Characters and Unicode

Total characters1241
Distinct characters194
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

Unique173 ?
Unique (%)96.6%

Sample

1st row대구월
2nd row동남아파트
3rd row팬더아파트
4th row동아아파트
5th row구월아시아드선수촌센트럴자이아파트
ValueCountFrequency (%)
논현주공아파트 3
 
1.5%
1단지 3
 
1.5%
소래휴먼시아 2
 
1.0%
현대아파트 2
 
1.0%
주공아파트 2
 
1.0%
삼환아파트 2
 
1.0%
3단지 2
 
1.0%
동남아파트 2
 
1.0%
팬더아파트 2
 
1.0%
논현신일해피트리7단지 1
 
0.5%
Other values (173) 173
89.2%
2024-01-28T20:40:54.998335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 100
 
8.1%
트 93
 
7.5%
파 79
 
6.4%
지 60
 
4.8%
단 58
 
4.7%
1 32
 
2.6%
동 28
 
2.3%
수 26
 
2.1%
주 23
 
1.9%
공 22
 
1.8%
Other values (184) 720
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1099
88.6%
Decimal Number 91
 
7.3%
Uppercase Letter 21
 
1.7%
Space Separator 16
 
1.3%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Dash Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 100
 
9.1%
트 93
 
8.5%
파 79
 
7.2%
지 60
 
5.5%
단 58
 
5.3%
동 28
 
2.5%
수 26
 
2.4%
주 23
 
2.1%
공 22
 
2.0%
현 20
 
1.8%
Other values (166) 590
53.7%
Decimal Number
ValueCountFrequency (%)
1 32
35.2%
2 21
23.1%
3 9
 
9.9%
6 6
 
6.6%
4 6
 
6.6%
5 6
 
6.6%
8 4
 
4.4%
7 3
 
3.3%
0 2
 
2.2%
9 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
L 9
42.9%
H 9
42.9%
A 3
 
14.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1099
88.6%
Common 121
 
9.8%
Latin 21
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 100
 
9.1%
트 93
 
8.5%
파 79
 
7.2%
지 60
 
5.5%
단 58
 
5.3%
동 28
 
2.5%
수 26
 
2.4%
주 23
 
2.1%
공 22
 
2.0%
현 20
 
1.8%
Other values (166) 590
53.7%
Common
ValueCountFrequency (%)
1 32
26.4%
2 21
17.4%
16
13.2%
3 9
 
7.4%
6 6
 
5.0%
4 6
 
5.0%
5 6
 
5.0%
) 5
 
4.1%
( 5
 
4.1%
8 4
 
3.3%
Other values (5) 11
 
9.1%
Latin
ValueCountFrequency (%)
L 9
42.9%
H 9
42.9%
A 3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1099
88.6%
ASCII 142
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 100
 
9.1%
트 93
 
8.5%
파 79
 
7.2%
지 60
 
5.5%
단 58
 
5.3%
동 28
 
2.5%
수 26
 
2.4%
주 23
 
2.1%
공 22
 
2.0%
현 20
 
1.8%
Other values (166) 590
53.7%
ASCII
ValueCountFrequency (%)
1 32
22.5%
2 21
14.8%
16
11.3%
L 9
 
6.3%
H 9
 
6.3%
3 9
 
6.3%
6 6
 
4.2%
4 6
 
4.2%
5 6
 
4.2%
) 5
 
3.5%
Other values (8) 23
16.2%

전화번호
Text

MISSING 

Distinct172
Distinct (%)100.0%
Missing7
Missing (%)3.9%
Memory size1.5 KiB
2024-01-28T20:40:55.208100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2064
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

Unique172 ?
Unique (%)100.0%

Sample

1st row032-467-8158
2nd row032-463-8388
3rd row032-461-5253
4th row032-465-1092
5th row032-469-1110
ValueCountFrequency (%)
032-468-0564 1
 
0.6%
032-467-4121 1
 
0.6%
032-239-3040 1
 
0.6%
032-466-5199 1
 
0.6%
032-472-1803 1
 
0.6%
032-464-0337 1
 
0.6%
032-465-0209 1
 
0.6%
032-466-1131 1
 
0.6%
032-472-1712 1
 
0.6%
032-461-9989 1
 
0.6%
Other values (162) 162
94.2%
2024-01-28T20:40:55.508355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 344
16.7%
2 325
15.7%
3 282
13.7%
0 269
13.0%
4 222
10.8%
6 161
7.8%
1 119
 
5.8%
5 92
 
4.5%
7 91
 
4.4%
9 80
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1720
83.3%
Dash Punctuation 344
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 325
18.9%
3 282
16.4%
0 269
15.6%
4 222
12.9%
6 161
9.4%
1 119
 
6.9%
5 92
 
5.3%
7 91
 
5.3%
9 80
 
4.7%
8 79
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2064
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 344
16.7%
2 325
15.7%
3 282
13.7%
0 269
13.0%
4 222
10.8%
6 161
7.8%
1 119
 
5.8%
5 92
 
4.5%
7 91
 
4.4%
9 80
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2064
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 344
16.7%
2 325
15.7%
3 282
13.7%
0 269
13.0%
4 222
10.8%
6 161
7.8%
1 119
 
5.8%
5 92
 
4.5%
7 91
 
4.4%
9 80
 
3.9%

등록일
Date

Distinct170
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1971-04-30 00:00:00
Maximum2019-10-17 00:00:00
2024-01-28T20:40:55.628475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:40:55.740767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

면적(제곱미터)
Real number (ℝ)

Distinct128
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.3995
Minimum24
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T20:40:55.850963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile59
Q1108.5
median151
Q3198.92
95-th percentile283
Maximum372
Range348
Interquartile range (IQR)90.42

Descriptive statistics

Standard deviation70.586802
Coefficient of variation (CV)0.44562516
Kurtosis0.24623665
Mean158.3995
Median Absolute Deviation (MAD)45
Skewness0.64926722
Sum28353.51
Variance4982.4965
MonotonicityNot monotonic
2024-01-28T20:40:55.951368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 5
 
2.8%
180.0 5
 
2.8%
132.0 4
 
2.2%
152.0 3
 
1.7%
335.0 3
 
1.7%
199.0 3
 
1.7%
191.0 3
 
1.7%
113.0 3
 
1.7%
246.0 3
 
1.7%
161.0 3
 
1.7%
Other values (118) 144
80.4%
ValueCountFrequency (%)
24.0 1
0.6%
28.0 1
0.6%
33.0 2
1.1%
39.0 1
0.6%
55.0 1
0.6%
56.0 1
0.6%
58.0 1
0.6%
59.0 2
1.1%
63.0 1
0.6%
64.0 2
1.1%
ValueCountFrequency (%)
372.0 1
 
0.6%
357.0 1
 
0.6%
335.0 3
1.7%
331.0 1
 
0.6%
329.0 1
 
0.6%
295.0 1
 
0.6%
283.0 2
1.1%
277.0 1
 
0.6%
273.0 1
 
0.6%
272.0 1
 
0.6%

회원수
Real number (ℝ)

Distinct62
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.458101
Minimum20
Maximum386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-28T20:40:56.052134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23.9
Q134
median43
Q358
95-th percentile78.4
Maximum386
Range366
Interquartile range (IQR)24

Descriptive statistics

Standard deviation37.445724
Coefficient of variation (CV)0.74211521
Kurtosis50.366551
Mean50.458101
Median Absolute Deviation (MAD)11
Skewness6.3116246
Sum9032
Variance1402.1822
MonotonicityNot monotonic
2024-01-28T20:40:56.163883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 9
 
5.0%
42 8
 
4.5%
36 7
 
3.9%
30 6
 
3.4%
41 6
 
3.4%
39 6
 
3.4%
51 6
 
3.4%
66 5
 
2.8%
47 5
 
2.8%
32 5
 
2.8%
Other values (52) 116
64.8%
ValueCountFrequency (%)
20 3
1.7%
21 2
1.1%
22 2
1.1%
23 2
1.1%
24 4
2.2%
25 1
 
0.6%
26 3
1.7%
27 3
1.7%
28 2
1.1%
29 3
1.7%
ValueCountFrequency (%)
386 1
0.6%
320 1
0.6%
135 1
0.6%
123 1
0.6%
105 2
1.1%
85 1
0.6%
82 2
1.1%
78 1
0.6%
76 1
0.6%
75 2
1.1%

도로명주소
Text

Distinct178
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-28T20:40:56.369187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length31.899441
Min length20

Characters and Unicode

Total characters5710
Distinct characters215
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

Unique177 ?
Unique (%)98.9%

Sample

1st row인천광역시 남동구 용천로4번길 63-6(구월동)
2nd row인천광역시 남동구 인주대로676번길 19(구월동, 동남아파트)
3rd row인천광역시 남동구 인주대로662번길 32(구월동, 팬더아파트)
4th row인천광역시 남동구 인주대로676번길 22(구월동, 동아아파트)
5th row인천광역시 남동구 선수촌로 55(구월동,구월아시아드선수촌센트럴자이)
ValueCountFrequency (%)
인천광역시 179
 
18.4%
남동구 178
 
18.3%
만수동 44
 
4.5%
논현동 30
 
3.1%
간석동 17
 
1.7%
서창동 15
 
1.5%
서창남순환로 9
 
0.9%
남촌동 6
 
0.6%
도림동 6
 
0.6%
만수주공아파트 6
 
0.6%
Other values (375) 485
49.7%
2024-01-28T20:40:56.690259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
799
 
14.0%
동 377
 
6.6%
구 236
 
4.1%
남 221
 
3.9%
시 195
 
3.4%
인 192
 
3.4%
천 186
 
3.3%
로 185
 
3.2%
역 184
 
3.2%
광 183
 
3.2%
Other values (205) 2952
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3721
65.2%
Space Separator 799
 
14.0%
Decimal Number 672
 
11.8%
Open Punctuation 179
 
3.1%
Close Punctuation 178
 
3.1%
Other Punctuation 124
 
2.2%
Dash Punctuation 21
 
0.4%
Uppercase Letter 16
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 377
 
10.1%
구 236
 
6.3%
남 221
 
5.9%
시 195
 
5.2%
인 192
 
5.2%
천 186
 
5.0%
로 185
 
5.0%
역 184
 
4.9%
광 183
 
4.9%
아 119
 
3.2%
Other values (186) 1643
44.2%
Decimal Number
ValueCountFrequency (%)
1 123
18.3%
2 88
13.1%
5 65
9.7%
4 64
9.5%
3 61
9.1%
6 60
8.9%
8 57
8.5%
7 53
7.9%
0 52
7.7%
9 49
 
7.3%
Other Punctuation
ValueCountFrequency (%)
, 122
98.4%
& 1
 
0.8%
. 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
L 8
50.0%
H 8
50.0%
Space Separator
ValueCountFrequency (%)
799
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3721
65.2%
Common 1973
34.6%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 377
 
10.1%
구 236
 
6.3%
남 221
 
5.9%
시 195
 
5.2%
인 192
 
5.2%
천 186
 
5.0%
로 185
 
5.0%
역 184
 
4.9%
광 183
 
4.9%
아 119
 
3.2%
Other values (186) 1643
44.2%
Common
ValueCountFrequency (%)
799
40.5%
( 179
 
9.1%
) 178
 
9.0%
1 123
 
6.2%
, 122
 
6.2%
2 88
 
4.5%
5 65
 
3.3%
4 64
 
3.2%
3 61
 
3.1%
6 60
 
3.0%
Other values (7) 234
 
11.9%
Latin
ValueCountFrequency (%)
L 8
50.0%
H 8
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3721
65.2%
ASCII 1989
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
799
40.2%
( 179
 
9.0%
) 178
 
8.9%
1 123
 
6.2%
, 122
 
6.1%
2 88
 
4.4%
5 65
 
3.3%
4 64
 
3.2%
3 61
 
3.1%
6 60
 
3.0%
Other values (9) 250
 
12.6%
Hangul
ValueCountFrequency (%)
동 377
 
10.1%
구 236
 
6.3%
남 221
 
5.9%
시 195
 
5.2%
인 192
 
5.2%
천 186
 
5.0%
로 185
 
5.0%
역 184
 
4.9%
광 183
 
4.9%
아 119
 
3.2%
Other values (186) 1643
44.2%

Interactions

2024-01-28T20:40:53.981016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:40:53.843990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:40:54.046241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:40:53.910918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:40:56.762661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분면적(제곱미터)회원수
연번1.0000.4020.4690.458
구분0.4021.0000.1240.466
면적(제곱미터)0.4690.1241.0000.436
회원수0.4580.4660.4361.000
2024-01-28T20:40:56.829961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.301
구분0.3011.000
2024-01-28T20:40:56.890424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)회원수연번구분
면적(제곱미터)1.0000.2140.1590.091
회원수0.2141.0000.2210.332
연번0.1590.2211.0000.301
구분0.0910.3320.3011.000

Missing values

2024-01-28T20:40:54.135600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:40:54.227741image/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

연번구분경로당명전화번호등록일면적(제곱미터)회원수도로명주소
0구월1동구립대구월032-467-81581992-01-17201.061인천광역시 남동구 용천로4번길 63-6(구월동)
1구월1동사립동남아파트032-463-83881992-02-1883.023인천광역시 남동구 인주대로676번길 19(구월동, 동남아파트)
2구월1동사립팬더아파트032-461-52531992-05-28135.029인천광역시 남동구 인주대로662번길 32(구월동, 팬더아파트)
3구월1동사립동아아파트032-465-10921992-05-01273.034인천광역시 남동구 인주대로676번길 22(구월동, 동아아파트)
4구월1동사립구월아시아드선수촌센트럴자이아파트032-469-11102015-10-20179.025인천광역시 남동구 선수촌로 55(구월동,구월아시아드선수촌센트럴자이)
5구월1동사립구월아시아드선수촌1단지032-466-64102016-01-18131.024인천광역시 남동구 선수촌공원로 85(구월동,구월아시아드선수촌1단지)
6구월1동사립구월아시아드선수촌2단지032-472-26882016-05-13134.034인천광역시 남동구 선수촌공원로 96(구월동,구월아시아드선수촌2단지)
7구월1동사립구월아시아드선수촌5단지032-462-99232016-09-05162.020인천광역시 남동구 선수촌로 56(구월동,구월아시아드선수촌5단지)
8구월1동사립구월아시아드선수촌6단지032-465-22722016-02-24117.062인천광역시 남동구 선수촌로 27(구월동,구월아시아드선수촌6단지)
9구월1동사립구월유승한내들퍼스티지032-468-05642017-11-14122.020인천광역시 남동구 선수촌로 75(구월동,구월유승한내들퍼스티지)
연번구분경로당명전화번호등록일면적(제곱미터)회원수도로명주소
169논현고잔동사립소래휴먼시아 3단지032-431-00972010-09-20246.066인천광역시 남동구 앵고개로815번길 22 (논현동, 소래휴먼시아아파트)
170논현고잔동사립에코메트로6단지032-433-81502011-05-13246.032인천광역시 남동구 아암대로1503번길 98(논현동)
171논현고잔동사립에코메트로5단지032-438-81272011-06-24357.035인천광역시 남동구 소래역남로 39 (논현동, 한화에코메트로 5단지)
172논현고잔동사립소래휴먼시아 1단지032-421-20672011-08-16138.028인천광역시 남동구 앵고개로815번길 70 (논현동, 소래휴먼시아아파트)
173논현고잔동사립논현힐스테이트아파트032-425-95442011-09-09152.024인천광역시 남동구 논고개로68번길 49 (논현동, 인천 논현 힐스테이트)
174논현고잔동사립에코메트로7단지032-426-29332011-09-29139.027인천광역시 남동구 에코중앙로 163 (논현동, 한화에코메트로 7단지)
175논현고잔동사립에코메트로10단지032-432-63002011-09-29269.032인천광역시 남동구 아암대로1503번길 21(논현동)
176논현고잔동사립에코메트로9단지032-422-22092012-01-27269.027인천광역시 남동구 에코중앙로96 (논현동)
177논현고잔동사립소래LH4단지032-431-77082015-06-09107.050인천광역시 남동구 논고개로 68번길 34(논현동)
178논현고잔동사립에코메트로더타워032-423-11802016-01-26135.034인천광역시 남동구 소래역남로 40(논현동,에코메트로더타워아파트)