Overview

Dataset statistics

Number of variables17
Number of observations21
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory149.3 B

Variable types

Categorical4
Text4
Numeric7
DateTime2

Dataset

Description경기도 하남시 지식산업센터 현황에 관한 데이터로 지식산업센터명칭, 주소, 전화번호, 면적 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15117029/fileData.do

Alerts

시군명 has constant value ""Constant
용도지역 has constant value ""Constant
공사진행상황 has constant value ""Constant
데이터기준일자 has constant value ""Constant
부지면적 is highly overall correlated with 건축면적 and 2 other fieldsHigh correlation
건축면적 is highly overall correlated with 부지면적 and 2 other fieldsHigh correlation
공장시설면적 is highly overall correlated with 부지면적 and 2 other fieldsHigh correlation
지원시설면적 is highly overall correlated with 부지면적 and 2 other fieldsHigh correlation
준공연도 is highly overall correlated with 분양형태High correlation
분양형태 is highly overall correlated with 준공연도High correlation
분양형태 is highly imbalanced (72.4%)Imbalance
전화번호 has 1 (4.8%) missing valuesMissing
지식산업센터명칭 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
건축면적 has unique valuesUnique
공장시설면적 has unique valuesUnique
지원시설면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:37:06.529408
Analysis finished2023-12-12 05:37:12.228501
Duration5.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
하남시
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하남시 21
100.0%

Length

2023-12-12T14:37:12.288164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:37:12.394850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하남시 21
100.0%

지식산업센터명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:37:12.588583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length10.952381
Min length4

Characters and Unicode

Total characters230
Distinct characters80
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

Unique21 ?
Unique (%)100.0%

Sample

1st row아이테코
2nd row미사센텀비즈
3rd row하우스디엘타워
4th row미사테스타타워
5th row하남테크로밸리U1 center
ValueCountFrequency (%)
현대지식산업센터 3
 
7.9%
한강미사 3
 
7.9%
center 2
 
5.3%
아이테코 1
 
2.6%
현대 1
 
2.6%
하남미사 1
 
2.6%
희가로프리미어 1
 
2.6%
하남미사유테크밸리 1
 
2.6%
미사강변스카이폴리스 1
 
2.6%
미사동일넥서스 1
 
2.6%
Other values (23) 23
60.5%
2023-12-12T14:37:12.995283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
7.4%
미 15
 
6.5%
사 14
 
6.1%
스 10
 
4.3%
강 7
 
3.0%
테 6
 
2.6%
리 6
 
2.6%
대 5
 
2.2%
타 5
 
2.2%
한 5
 
2.2%
Other values (70) 140
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
77.8%
Space Separator 17
 
7.4%
Lowercase Letter 13
 
5.7%
Uppercase Letter 9
 
3.9%
Decimal Number 6
 
2.6%
Open Punctuation 2
 
0.9%
Other Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 15
 
8.4%
사 14
 
7.8%
스 10
 
5.6%
강 7
 
3.9%
테 6
 
3.4%
리 6
 
3.4%
대 5
 
2.8%
타 5
 
2.8%
한 5
 
2.8%
현 5
 
2.8%
Other values (49) 101
56.4%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
Y 1
11.1%
S 1
11.1%
V 1
11.1%
U 1
11.1%
C 1
11.1%
A 1
11.1%
B 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
r 2
15.4%
t 2
15.4%
n 2
15.4%
c 2
15.4%
k 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
77.8%
Common 29
 
12.6%
Latin 22
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 15
 
8.4%
사 14
 
7.8%
스 10
 
5.6%
강 7
 
3.9%
테 6
 
3.4%
리 6
 
3.4%
대 5
 
2.8%
타 5
 
2.8%
한 5
 
2.8%
현 5
 
2.8%
Other values (49) 101
56.4%
Latin
ValueCountFrequency (%)
e 4
18.2%
r 2
9.1%
t 2
9.1%
n 2
9.1%
c 2
9.1%
D 2
9.1%
Y 1
 
4.5%
S 1
 
4.5%
k 1
 
4.5%
V 1
 
4.5%
Other values (4) 4
18.2%
Common
ValueCountFrequency (%)
17
58.6%
1 3
 
10.3%
2 2
 
6.9%
( 2
 
6.9%
, 2
 
6.9%
) 2
 
6.9%
3 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
77.8%
ASCII 51
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
33.3%
e 4
 
7.8%
1 3
 
5.9%
2 2
 
3.9%
( 2
 
3.9%
, 2
 
3.9%
) 2
 
3.9%
r 2
 
3.9%
t 2
 
3.9%
n 2
 
3.9%
Other values (11) 13
25.5%
Hangul
ValueCountFrequency (%)
미 15
 
8.4%
사 14
 
7.8%
스 10
 
5.6%
강 7
 
3.9%
테 6
 
3.4%
리 6
 
3.4%
대 5
 
2.8%
타 5
 
2.8%
한 5
 
2.8%
현 5
 
2.8%
Other values (49) 101
56.4%

전화번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2023-12-12T14:37:13.204699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.5
Min length11

Characters and Unicode

Total characters250
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

Unique20 ?
Unique (%)100.0%

Sample

1st row031-790-4113
2nd row031-5175-3111
3rd row031-5175-4114
4th row031-5175-6000
5th row031-5180-1000
ValueCountFrequency (%)
031-790-4113 1
 
5.0%
031-5175-3111 1
 
5.0%
031-796-6682 1
 
5.0%
02-488-9236 1
 
5.0%
031-796-6950 1
 
5.0%
031-794-9246 1
 
5.0%
031-8027-6460 1
 
5.0%
031-796-6290 1
 
5.0%
031-5175-8000 1
 
5.0%
031-8018-4500 1
 
5.0%
Other values (10) 10
50.0%
2023-12-12T14:37:13.869480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
19.2%
1 41
16.4%
- 40
16.0%
3 24
9.6%
7 19
 
7.6%
5 18
 
7.2%
6 18
 
7.2%
9 14
 
5.6%
4 10
 
4.0%
8 10
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
84.0%
Dash Punctuation 40
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
22.9%
1 41
19.5%
3 24
11.4%
7 19
 
9.0%
5 18
 
8.6%
6 18
 
8.6%
9 14
 
6.7%
4 10
 
4.8%
8 10
 
4.8%
2 8
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
19.2%
1 41
16.4%
- 40
16.0%
3 24
9.6%
7 19
 
7.6%
5 18
 
7.2%
6 18
 
7.2%
9 14
 
5.6%
4 10
 
4.0%
8 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
19.2%
1 41
16.4%
- 40
16.0%
3 24
9.6%
7 19
 
7.6%
5 18
 
7.2%
6 18
 
7.2%
9 14
 
5.6%
4 10
 
4.0%
8 10
 
4.0%

소재지지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:37:14.093300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length17.571429
Min length15

Characters and Unicode

Total characters369
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 하남시 덕풍동 762번지
2nd row경기도 하남시 풍산동 493번지
3rd row경기도 하남시 풍산동 492번지
4th row경기도 하남시 풍산동 489번지
5th row경기도 하남시 풍산동 618번지
ValueCountFrequency (%)
경기도 21
25.0%
하남시 21
25.0%
풍산동 12
14.3%
덕풍동 5
 
6.0%
망월동 3
 
3.6%
831번지 1
 
1.2%
599-2 1
 
1.2%
474-1 1
 
1.2%
감이동 1
 
1.2%
588-5 1
 
1.2%
Other values (17) 17
20.2%
2023-12-12T14:37:14.410166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
17.1%
경 21
 
5.7%
동 21
 
5.7%
도 21
 
5.7%
하 21
 
5.7%
남 21
 
5.7%
시 21
 
5.7%
기 21
 
5.7%
번 17
 
4.6%
지 17
 
4.6%
Other values (19) 125
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
60.4%
Decimal Number 73
 
19.8%
Space Separator 63
 
17.1%
Dash Punctuation 9
 
2.4%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 21
9.4%
동 21
9.4%
도 21
9.4%
하 21
9.4%
남 21
9.4%
시 21
9.4%
기 21
9.4%
번 17
7.6%
지 17
7.6%
풍 17
7.6%
Other values (6) 25
11.2%
Decimal Number
ValueCountFrequency (%)
8 12
16.4%
4 10
13.7%
9 10
13.7%
3 10
13.7%
1 9
12.3%
5 6
8.2%
2 6
8.2%
6 4
 
5.5%
0 4
 
5.5%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
60.4%
Common 146
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 21
9.4%
동 21
9.4%
도 21
9.4%
하 21
9.4%
남 21
9.4%
시 21
9.4%
기 21
9.4%
번 17
7.6%
지 17
7.6%
풍 17
7.6%
Other values (6) 25
11.2%
Common
ValueCountFrequency (%)
63
43.2%
8 12
 
8.2%
4 10
 
6.8%
9 10
 
6.8%
3 10
 
6.8%
1 9
 
6.2%
- 9
 
6.2%
5 6
 
4.1%
2 6
 
4.1%
6 4
 
2.7%
Other values (3) 7
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
60.4%
ASCII 146
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
43.2%
8 12
 
8.2%
4 10
 
6.8%
9 10
 
6.8%
3 10
 
6.8%
1 9
 
6.2%
- 9
 
6.2%
5 6
 
4.1%
2 6
 
4.1%
6 4
 
2.7%
Other values (3) 7
 
4.8%
Hangul
ValueCountFrequency (%)
경 21
9.4%
동 21
9.4%
도 21
9.4%
하 21
9.4%
남 21
9.4%
시 21
9.4%
기 21
9.4%
번 17
7.6%
지 17
7.6%
풍 17
7.6%
Other values (6) 25
11.2%

소재지도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:37:14.589775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length17.52381
Min length15

Characters and Unicode

Total characters368
Distinct characters34
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경기도 하남시 조정대로 150
2nd row경기도 하남시 조정대로 45
3rd row경기도 하남시 조정대로 35
4th row경기도 하남시 미사강변서로 25
5th row경기도 하남시 하남대로 947
ValueCountFrequency (%)
경기도 21
24.7%
하남시 21
24.7%
미사대로 4
 
4.7%
미사강변서로 4
 
4.7%
조정대로 3
 
3.5%
미사강변한강로 3
 
3.5%
하남대로 2
 
2.4%
30 2
 
2.4%
미사강변중앙로 2
 
2.4%
25 2
 
2.4%
Other values (21) 21
24.7%
2023-12-12T14:37:14.945745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
17.4%
하 23
 
6.2%
남 23
 
6.2%
경 21
 
5.7%
로 21
 
5.7%
도 21
 
5.7%
시 21
 
5.7%
기 21
 
5.7%
미 15
 
4.1%
5 15
 
4.1%
Other values (24) 123
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
66.8%
Space Separator 64
 
17.4%
Decimal Number 58
 
15.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 23
9.3%
남 23
9.3%
경 21
8.5%
로 21
8.5%
도 21
8.5%
시 21
8.5%
기 21
8.5%
미 15
 
6.1%
사 15
 
6.1%
강 14
 
5.7%
Other values (14) 51
20.7%
Decimal Number
ValueCountFrequency (%)
5 15
25.9%
1 12
20.7%
0 10
17.2%
3 6
 
10.3%
2 5
 
8.6%
9 3
 
5.2%
4 3
 
5.2%
6 2
 
3.4%
7 2
 
3.4%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
66.8%
Common 122
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 23
9.3%
남 23
9.3%
경 21
8.5%
로 21
8.5%
도 21
8.5%
시 21
8.5%
기 21
8.5%
미 15
 
6.1%
사 15
 
6.1%
강 14
 
5.7%
Other values (14) 51
20.7%
Common
ValueCountFrequency (%)
64
52.5%
5 15
 
12.3%
1 12
 
9.8%
0 10
 
8.2%
3 6
 
4.9%
2 5
 
4.1%
9 3
 
2.5%
4 3
 
2.5%
6 2
 
1.6%
7 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
66.8%
ASCII 122
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
52.5%
5 15
 
12.3%
1 12
 
9.8%
0 10
 
8.2%
3 6
 
4.9%
2 5
 
4.1%
9 3
 
2.5%
4 3
 
2.5%
6 2
 
1.6%
7 2
 
1.6%
Hangul
ValueCountFrequency (%)
하 23
9.3%
남 23
9.3%
경 21
8.5%
로 21
8.5%
도 21
8.5%
시 21
8.5%
기 21
8.5%
미 15
 
6.1%
사 15
 
6.1%
강 14
 
5.7%
Other values (14) 51
20.7%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.553554
Minimum37.507445
Maximum37.577058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:15.059846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.507445
5-th percentile37.545867
Q137.549684
median37.552566
Q337.557714
95-th percentile37.575872
Maximum37.577058
Range0.06961346
Interquartile range (IQR)0.0080305

Descriptive statistics

Standard deviation0.013988656
Coefficient of variation (CV)0.00037249887
Kurtosis5.8371558
Mean37.553554
Median Absolute Deviation (MAD)0.00422117
Skewness-1.3002584
Sum788.62463
Variance0.00019568251
MonotonicityNot monotonic
2023-12-12T14:37:15.190399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.55350379 1
 
4.8%
37.55069175 1
 
4.8%
37.575132 1
 
4.8%
37.548195 1
 
4.8%
37.507445 1
 
4.8%
37.55035432 1
 
4.8%
37.57705846 1
 
4.8%
37.54945334 1
 
4.8%
37.54968398 1
 
4.8%
37.55771448 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
37.507445 1
4.8%
37.54586675 1
4.8%
37.548195 1
4.8%
37.54821852 1
4.8%
37.54945334 1
4.8%
37.54968398 1
4.8%
37.55035432 1
4.8%
37.55041853 1
4.8%
37.55069175 1
4.8%
37.55179145 1
4.8%
ValueCountFrequency (%)
37.57705846 1
4.8%
37.57587221 1
4.8%
37.575132 1
4.8%
37.55938504 1
4.8%
37.55885606 1
4.8%
37.55771448 1
4.8%
37.55678745 1
4.8%
37.55350379 1
4.8%
37.55298132 1
4.8%
37.55265201 1
4.8%

경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.19104
Minimum127.16521
Maximum127.20642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:15.333127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.16521
5-th percentile127.18272
Q1127.18449
median127.19145
Q3127.19387
95-th percentile127.20587
Maximum127.20642
Range0.0412072
Interquartile range (IQR)0.0093812

Descriptive statistics

Standard deviation0.0094871701
Coefficient of variation (CV)7.4589922 × 10-5
Kurtosis1.6891074
Mean127.19104
Median Absolute Deviation (MAD)0.0069314
Skewness-0.51669314
Sum2671.0119
Variance9.0006396 × 10-5
MonotonicityNot monotonic
2023-12-12T14:37:15.459662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
127.1946803 1
 
4.8%
127.1844688 1
 
4.8%
127.193868 1
 
4.8%
127.191782 1
 
4.8%
127.165212 1
 
4.8%
127.1911684 1
 
4.8%
127.1914472 1
 
4.8%
127.1906048 1
 
4.8%
127.1917246 1
 
4.8%
127.2058721 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
127.165212 1
4.8%
127.182717 1
4.8%
127.1834171 1
4.8%
127.184359 1
4.8%
127.1844688 1
4.8%
127.1844868 1
4.8%
127.1845158 1
4.8%
127.1899471 1
4.8%
127.1906048 1
4.8%
127.1911684 1
4.8%
ValueCountFrequency (%)
127.2064192 1
4.8%
127.2058721 1
4.8%
127.2046108 1
4.8%
127.2034878 1
4.8%
127.1946803 1
4.8%
127.193868 1
4.8%
127.1936926 1
4.8%
127.1934565 1
4.8%
127.191782 1
4.8%
127.1917246 1
4.8%

용도지역
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
준주거
21 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
준주거 21
100.0%

Length

2023-12-12T14:37:15.601162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:37:15.697899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준주거 21
100.0%

부지면적
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12539.095
Minimum2870
Maximum38713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:15.797501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2870
5-th percentile2909
Q14612
median10279
Q316529
95-th percentile32578
Maximum38713
Range35843
Interquartile range (IQR)11917

Descriptive statistics

Standard deviation9988.0597
Coefficient of variation (CV)0.79655346
Kurtosis1.3904632
Mean12539.095
Median Absolute Deviation (MAD)6250
Skewness1.3581877
Sum263321
Variance99761337
MonotonicityNot monotonic
2023-12-12T14:37:15.921216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3402 2
 
9.5%
27017 1
 
4.8%
16889 1
 
4.8%
12064 1
 
4.8%
4612 1
 
4.8%
8160 1
 
4.8%
3551 1
 
4.8%
38713 1
 
4.8%
11027 1
 
4.8%
2909 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
2870 1
4.8%
2909 1
4.8%
3402 2
9.5%
3551 1
4.8%
4612 1
4.8%
7018 1
4.8%
7134 1
4.8%
8160 1
4.8%
8290 1
4.8%
10279 1
4.8%
ValueCountFrequency (%)
38713 1
4.8%
32578 1
4.8%
27017 1
4.8%
19486 1
4.8%
16889 1
4.8%
16529 1
4.8%
16128 1
4.8%
12064 1
4.8%
11263 1
4.8%
11027 1
4.8%

건축면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7473.0476
Minimum1346
Maximum23221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:16.064403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1346
5-th percentile1721
Q12745
median6165
Q39903
95-th percentile19536
Maximum23221
Range21875
Interquartile range (IQR)7158

Descriptive statistics

Standard deviation6024.1363
Coefficient of variation (CV)0.80611507
Kurtosis1.358913
Mean7473.0476
Median Absolute Deviation (MAD)3738
Skewness1.3408909
Sum156934
Variance36290218
MonotonicityNot monotonic
2023-12-12T14:37:16.164444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
16174 1
 
4.8%
9672 1
 
4.8%
7213 1
 
4.8%
2745 1
 
4.8%
4886 1
 
4.8%
2129 1
 
4.8%
23221 1
 
4.8%
6503 1
 
4.8%
1743 1
 
4.8%
6755 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1346 1
4.8%
1721 1
4.8%
1743 1
4.8%
2032 1
4.8%
2129 1
4.8%
2745 1
4.8%
4209 1
4.8%
4279 1
4.8%
4886 1
4.8%
4925 1
4.8%
ValueCountFrequency (%)
23221 1
4.8%
19536 1
4.8%
16174 1
4.8%
11682 1
4.8%
10095 1
4.8%
9903 1
4.8%
9672 1
4.8%
7213 1
4.8%
6755 1
4.8%
6503 1
4.8%

공장시설면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74964.762
Minimum3386
Maximum221539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:16.272857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3386
5-th percentile16840
Q126557
median61317
Q3100448
95-th percentile219787
Maximum221539
Range218153
Interquartile range (IQR)73891

Descriptive statistics

Standard deviation63171.979
Coefficient of variation (CV)0.84268898
Kurtosis1.024396
Mean74964.762
Median Absolute Deviation (MAD)39131
Skewness1.2968122
Sum1574260
Variance3.9906989 × 109
MonotonicityNot monotonic
2023-12-12T14:37:16.376932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
170995 1
 
4.8%
103457 1
 
4.8%
64407 1
 
4.8%
26557 1
 
4.8%
51212 1
 
4.8%
20259 1
 
4.8%
221539 1
 
4.8%
62295 1
 
4.8%
17009 1
 
4.8%
65288 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
3386 1
4.8%
16840 1
4.8%
17009 1
4.8%
19140 1
4.8%
20259 1
4.8%
26557 1
4.8%
41427 1
4.8%
46624 1
4.8%
47645 1
4.8%
51212 1
4.8%
ValueCountFrequency (%)
221539 1
4.8%
219787 1
4.8%
170995 1
4.8%
122754 1
4.8%
103457 1
4.8%
100448 1
4.8%
91874 1
4.8%
65288 1
4.8%
64407 1
4.8%
62295 1
4.8%

지원시설면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25341.381
Minimum1346
Maximum94393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:16.496909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1346
5-th percentile6061
Q18682
median25551
Q332023
95-th percentile50619
Maximum94393
Range93047
Interquartile range (IQR)23341

Descriptive statistics

Standard deviation20594.432
Coefficient of variation (CV)0.81267993
Kurtosis5.5612205
Mean25341.381
Median Absolute Deviation (MAD)12417
Skewness1.9424958
Sum532169
Variance4.2413062 × 108
MonotonicityNot monotonic
2023-12-12T14:37:16.620887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
26985 1
 
4.8%
33571 1
 
4.8%
27572 1
 
4.8%
11241 1
 
4.8%
6061 1
 
4.8%
8682 1
 
4.8%
94393 1
 
4.8%
26208 1
 
4.8%
7177 1
 
4.8%
27726 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1346 1
4.8%
6061 1
4.8%
7177 1
4.8%
7205 1
4.8%
8177 1
4.8%
8682 1
4.8%
11241 1
4.8%
17488 1
4.8%
19714 1
4.8%
20062 1
4.8%
ValueCountFrequency (%)
94393 1
4.8%
50619 1
4.8%
42400 1
4.8%
37968 1
4.8%
33571 1
4.8%
32023 1
4.8%
27726 1
4.8%
27572 1
4.8%
26985 1
4.8%
26208 1
4.8%

분양형태
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
분양
20 
임대
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
분양 20
95.2%
임대 1
 
4.8%

Length

2023-12-12T14:37:16.739985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:37:16.863984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분양 20
95.2%
임대 1
 
4.8%

공사진행상황
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
준공
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
준공 21
100.0%

Length

2023-12-12T14:37:16.981221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:37:17.077714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준공 21
100.0%

준공연도
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.619
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:37:17.157163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2017
Q12019
median2020
Q32021
95-th percentile2022
Maximum2022
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4995238
Coefficient of variation (CV)0.0012376214
Kurtosis6.4510455
Mean2019.619
Median Absolute Deviation (MAD)1
Skewness-2.0880582
Sum42412
Variance6.247619
MonotonicityNot monotonic
2023-12-12T14:37:17.295667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2019 6
28.6%
2022 5
23.8%
2021 4
19.0%
2018 2
 
9.5%
2020 2
 
9.5%
2011 1
 
4.8%
2017 1
 
4.8%
ValueCountFrequency (%)
2011 1
 
4.8%
2017 1
 
4.8%
2018 2
 
9.5%
2019 6
28.6%
2020 2
 
9.5%
2021 4
19.0%
2022 5
23.8%
ValueCountFrequency (%)
2022 5
23.8%
2021 4
19.0%
2020 2
 
9.5%
2019 6
28.6%
2018 2
 
9.5%
2017 1
 
4.8%
2011 1
 
4.8%

사용승인일
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2011-01-17 00:00:00
Maximum2022-10-17 00:00:00
2023-12-12T14:37:17.418402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:17.583805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2023-07-24 00:00:00
Maximum2023-07-24 00:00:00
2023-12-12T14:37:17.714512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:17.836485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T14:37:11.171888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.016546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.762268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.433929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.139497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.880200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.557010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.256236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.118242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.859725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.541752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.259287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.994916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.648679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.326379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.222509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.946162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.625680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.357034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.078392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.753463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.434414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.350841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.083591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.748916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.500152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.204055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.843981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.508554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.464908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.176559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.835481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.589409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.295602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.929725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.589711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.578115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.256996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.926822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.687925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.377595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.017389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.669261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:07.666533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:08.343218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.013608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:09.782496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:10.462753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:37:11.095279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:37:17.947438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지식산업센터명칭전화번호소재지지번주소소재지도로명주소위도경도부지면적건축면적공장시설면적지원시설면적분양형태준공연도사용승인일
지식산업센터명칭1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0001.0000.9630.4700.3990.0000.2550.0000.0001.000
경도1.0001.0001.0001.0000.9631.0000.6520.6720.5890.0000.0000.2631.000
부지면적1.0001.0001.0001.0000.4700.6521.0001.0000.9440.9390.0000.0000.937
건축면적1.0001.0001.0001.0000.3990.6721.0001.0000.9480.944NaN0.0000.937
공장시설면적1.0001.0001.0001.0000.0000.5890.9440.9481.0000.988NaN0.0000.931
지원시설면적1.0001.0001.0001.0000.2550.0000.9390.9440.9881.000NaN0.0000.931
분양형태1.000NaN1.0001.0000.0000.0000.000NaNNaNNaN1.0001.0001.000
준공연도1.0001.0001.0001.0000.0000.2630.0000.0000.0000.0001.0001.0001.000
사용승인일1.0001.0001.0001.0001.0001.0000.9370.9370.9310.9311.0001.0001.000
2023-12-12T14:37:18.106487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도부지면적건축면적공장시설면적지원시설면적준공연도분양형태
위도1.0000.4820.4110.3880.3310.421-0.0750.000
경도0.4821.0000.3670.3730.2970.3710.1610.000
부지면적0.4110.3671.0000.9940.9850.921-0.0780.000
건축면적0.3880.3730.9941.0000.9910.930-0.0450.000
공장시설면적0.3310.2970.9850.9911.0000.923-0.0720.000
지원시설면적0.4210.3710.9210.9300.9231.000-0.0580.000
준공연도-0.0750.161-0.078-0.045-0.072-0.0581.0000.889
분양형태0.0000.0000.0000.0000.0000.0000.8891.000

Missing values

2023-12-12T14:37:11.799462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:37:12.126550image/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

시군명지식산업센터명칭전화번호소재지지번주소소재지도로명주소위도경도용도지역부지면적건축면적공장시설면적지원시설면적분양형태공사진행상황준공연도사용승인일데이터기준일자
0하남시아이테코031-790-4113경기도 하남시 덕풍동 762번지경기도 하남시 조정대로 15037.553504127.19468준주거270171617417099526985분양준공20112011-01-172023-07-24
1하남시미사센텀비즈031-5175-3111경기도 하남시 풍산동 493번지경기도 하남시 조정대로 4537.550692127.184469준주거16128967210345733571분양준공20182018-01-232023-07-24
2하남시하우스디엘타워031-5175-4114경기도 하남시 풍산동 492번지경기도 하남시 조정대로 3537.550419127.183417준주거713442794764520062분양준공20182018-08-032023-07-24
3하남시미사테스타타워031-5175-6000경기도 하남시 풍산동 489번지경기도 하남시 미사강변서로 2537.552652127.182717준주거194861168212275442400분양준공20192019-05-232023-07-24
4하남시하남테크로밸리U1 center031-5180-1000경기도 하남시 풍산동 618번지경기도 하남시 하남대로 94737.545867127.193693준주거325781953621978750619분양준공20192019-08-142023-07-24
5하남시DY지식산업센터<NA>경기도 하남시 풍산동 490번지경기도 하남시 미사강변서로 3037.552981127.184516준주거3402134633861346임대준공20172017-10-312023-07-24
6하남시현대지식산업센터 한강미사031-8026-0900경기도 하남시 덕풍동 833-1번지경기도 하남시 미사대로 55037.556787127.206419준주거1652999039187432023분양준공20192019-09-202023-07-24
7하남시하우스디 스마트밸리031-5175-7114경기도 하남시 풍산동 490-2번지경기도 하남시 미사강변서로 1637.551791127.184487준주거701842094142717488분양준공20192019-07-042023-07-24
8하남시미사강변 Sk V1 center031-796-1607경기도 하남시 망월동 834-2번지경기도 하남시 미사강변한강로 15537.575872127.193456준주거1027961656131725551분양준공20192019-12-192023-07-24
9하남시로얄팰리스 테크노1차031-5175-2600경기도 하남시 풍산동 601번지경기도 하남시 하남대로 99037.548219127.189947준주거28701721168407205분양준공20202020-02-102023-07-24
시군명지식산업센터명칭전화번호소재지지번주소소재지도로명주소위도경도용도지역부지면적건축면적공장시설면적지원시설면적분양형태공사진행상황준공연도사용승인일데이터기준일자
11하남시한강미사 아이에스비즈타워031-793-3670경기도 하남시 덕풍동 831번지경기도 하남시 미사대로 51037.559385127.203488준주거829049254662419714분양준공20202020-04-232023-07-24
12하남시현대지식산업센터 한강미사2차(C,D)031-8018-4500경기도 하남시 덕풍동 831-1,2번지경기도 하남시 미사대로 52037.558856127.204611준주거168891009510044837968분양준공20212021-01-062023-07-24
13하남시현대지식산업센터 한강미사2차(A,B)031-5175-8000경기도 하남시 덕풍동 833번지경기도 하남시 미사대로 54037.557714127.205872준주거1126367556528827726분양준공20212021-01-062023-07-24
14하남시하남미사 희가로프리미어031-796-6290경기도 하남시 풍산동 598번지경기도 하남시 미사강변중앙로 31번길 1537.549684127.191725준주거29091743170097177분양준공20212021-03-052023-07-24
15하남시하남미사유테크밸리031-8027-6460경기도 하남시 풍산동 595-1번지경기도 하남시 미사강변중앙로7번안길 2537.549453127.190605준주거1102765036229526208분양준공20212021-06-022023-07-24
16하남시미사강변스카이폴리스031-794-9246경기도 하남시 망월동 834번지경기도 하남시 미사강변한강로 13537.577058127.191447준주거387132322122153994393분양준공20222022-01-282023-07-24
17하남시미사동일넥서스031-796-6950경기도 하남시 풍산동 588-5경기도 하남시 미사강변중앙로31번길 3037.550354127.191168준주거35512129202598682분양준공20222022-03-282023-07-24
18하남시현대 테라타워 감일02-488-9236경기도 하남시 감이동 474-1경기도 하남시 신우실로 10037.507445127.165212준주거81604886512126061분양준공20222022-07-292023-07-24
19하남시두산 더프론트 미사031-796-6682경기도 하남시 풍산동 599-2경기도 하남시 미사강변중앙로 1137.548195127.191782준주거461227452655711241분양준공20222022-07-182023-07-24
20하남시현대클러스터 한강미사 3차031-796-8900경기도 하남시 망월동 836경기도 하남시 미사강변한강로 16537.575132127.193868준주거1206472136440727572분양준공20222022-10-172023-07-24