Overview

Dataset statistics

Number of variables11
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory97.9 B

Variable types

Categorical2
Text3
Numeric4
DateTime2

Dataset

Description경기도 시흥시 주상복합현황 자료 입니다.(경기도 시흥시 주상복합현황 자료는 관내 주상복합 건물명, 지번주소, 도로명주소, 주건축물수, 건축면적, 연면적, 용적률, 세대수, 준공일자 입니다.)
URLhttps://www.data.go.kr/data/15055108/fileData.do

Alerts

구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
건축면적 is highly overall correlated with 연면적 and 2 other fieldsHigh correlation
연면적 is highly overall correlated with 건축면적 and 2 other fieldsHigh correlation
세대수 is highly overall correlated with 건축면적 and 2 other fieldsHigh correlation
주건축물수 is highly overall correlated with 건축면적 and 2 other fieldsHigh correlation
건물명 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
건축면적 has unique valuesUnique
연면적 has unique valuesUnique
용적률 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:53:16.766675
Analysis finished2023-12-12 19:53:19.128918
Duration2.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
주상복합
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주상복합 27
100.0%

Length

2023-12-13T04:53:19.558228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:19.663538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주상복합 27
100.0%

건물명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:53:19.850183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.6666667
Min length4

Characters and Unicode

Total characters207
Distinct characters95
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row연성쉐르빌
2nd row데코빌아파트
3rd row써미트빌
4th rowJ-PARK 주상복합
5th row블리스아파트
ValueCountFrequency (%)
n플러스빌 4
 
10.0%
장현 2
 
5.0%
배곧호반써밋플레이스 2
 
5.0%
유호 2
 
5.0%
청담예가 1
 
2.5%
스카이드림시티 1
 
2.5%
해오름아파트 1
 
2.5%
웅진스위트홈 1
 
2.5%
성지타워1차 1
 
2.5%
호반써밋플레이스 1
 
2.5%
Other values (24) 24
60.0%
2023-12-13T04:53:20.234463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
6.8%
스 11
 
5.3%
빌 8
 
3.9%
플 7
 
3.4%
이 6
 
2.9%
호 5
 
2.4%
파 5
 
2.4%
트 5
 
2.4%
성 4
 
1.9%
N 4
 
1.9%
Other values (85) 138
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
83.1%
Uppercase Letter 16
 
7.7%
Space Separator 14
 
6.8%
Decimal Number 4
 
1.9%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 11
 
6.4%
빌 8
 
4.7%
플 7
 
4.1%
이 6
 
3.5%
호 5
 
2.9%
파 5
 
2.9%
트 5
 
2.9%
성 4
 
2.3%
러 4
 
2.3%
티 4
 
2.3%
Other values (70) 113
65.7%
Uppercase Letter
ValueCountFrequency (%)
N 4
25.0%
I 3
18.8%
C 2
12.5%
J 1
 
6.2%
P 1
 
6.2%
A 1
 
6.2%
R 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
T 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
5 1
25.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
83.1%
Common 19
 
9.2%
Latin 16
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 11
 
6.4%
빌 8
 
4.7%
플 7
 
4.1%
이 6
 
3.5%
호 5
 
2.9%
파 5
 
2.9%
트 5
 
2.9%
성 4
 
2.3%
러 4
 
2.3%
티 4
 
2.3%
Other values (70) 113
65.7%
Latin
ValueCountFrequency (%)
N 4
25.0%
I 3
18.8%
C 2
12.5%
J 1
 
6.2%
P 1
 
6.2%
A 1
 
6.2%
R 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
T 1
 
6.2%
Common
ValueCountFrequency (%)
14
73.7%
1 2
 
10.5%
2 1
 
5.3%
- 1
 
5.3%
5 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
83.1%
ASCII 35
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
40.0%
N 4
 
11.4%
I 3
 
8.6%
1 2
 
5.7%
C 2
 
5.7%
2 1
 
2.9%
J 1
 
2.9%
- 1
 
2.9%
P 1
 
2.9%
A 1
 
2.9%
Other values (5) 5
 
14.3%
Hangul
ValueCountFrequency (%)
스 11
 
6.4%
빌 8
 
4.7%
플 7
 
4.1%
이 6
 
3.5%
호 5
 
2.9%
파 5
 
2.9%
트 5
 
2.9%
성 4
 
2.3%
러 4
 
2.3%
티 4
 
2.3%
Other values (70) 113
65.7%

지번주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:53:20.470970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length19.037037
Min length15

Characters and Unicode

Total characters514
Distinct characters37
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 장곡동 811-3 외3필지
2nd row경기도 시흥시 하중동 878-4 외 1필지
3rd row경기도 시흥시 하상동 377-4 외1필지
4th row경기도 시흥시 장현동 543-4
5th row경기도 시흥시 장곡동 817-5 외1필지
ValueCountFrequency (%)
경기도 27
22.5%
시흥시 27
22.5%
외1필지 6
 
5.0%
장현동 6
 
5.0%
월곶동 5
 
4.2%
거모동 4
 
3.3%
정왕동 3
 
2.5%
신천동 3
 
2.5%
장곡동 2
 
1.7%
외3필지 2
 
1.7%
Other values (33) 35
29.2%
2023-12-13T04:53:20.913799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
18.1%
시 54
 
10.5%
1 29
 
5.6%
경 27
 
5.3%
도 27
 
5.3%
흥 27
 
5.3%
동 27
 
5.3%
기 27
 
5.3%
- 22
 
4.3%
5 13
 
2.5%
Other values (27) 168
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
53.1%
Decimal Number 126
24.5%
Space Separator 93
 
18.1%
Dash Punctuation 22
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 54
19.8%
경 27
9.9%
도 27
9.9%
흥 27
9.9%
동 27
9.9%
기 27
9.9%
필 10
 
3.7%
지 10
 
3.7%
외 10
 
3.7%
장 8
 
2.9%
Other values (15) 46
16.8%
Decimal Number
ValueCountFrequency (%)
1 29
23.0%
5 13
10.3%
4 13
10.3%
7 13
10.3%
3 12
9.5%
8 11
 
8.7%
0 10
 
7.9%
2 10
 
7.9%
6 9
 
7.1%
9 6
 
4.8%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
53.1%
Common 241
46.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 54
19.8%
경 27
9.9%
도 27
9.9%
흥 27
9.9%
동 27
9.9%
기 27
9.9%
필 10
 
3.7%
지 10
 
3.7%
외 10
 
3.7%
장 8
 
2.9%
Other values (15) 46
16.8%
Common
ValueCountFrequency (%)
93
38.6%
1 29
 
12.0%
- 22
 
9.1%
5 13
 
5.4%
4 13
 
5.4%
7 13
 
5.4%
3 12
 
5.0%
8 11
 
4.6%
0 10
 
4.1%
2 10
 
4.1%
Other values (2) 15
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
53.1%
ASCII 241
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
38.6%
1 29
 
12.0%
- 22
 
9.1%
5 13
 
5.4%
4 13
 
5.4%
7 13
 
5.4%
3 12
 
5.0%
8 11
 
4.6%
0 10
 
4.1%
2 10
 
4.1%
Other values (2) 15
 
6.2%
Hangul
ValueCountFrequency (%)
시 54
19.8%
경 27
9.9%
도 27
9.9%
흥 27
9.9%
동 27
9.9%
기 27
9.9%
필 10
 
3.7%
지 10
 
3.7%
외 10
 
3.7%
장 8
 
2.9%
Other values (15) 46
16.8%

도로명주소
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T04:53:21.154556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length16.777778
Min length12

Characters and Unicode

Total characters453
Distinct characters49
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

Unique27 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 인선길46
2nd row경기도 시흥시 연성로13번길5-2
3rd row경기도 시흥시 연성로97
4th row경기도 시흥시 새재로11
5th row경기도 시흥시 진말로3번길12
ValueCountFrequency (%)
경기도 27
28.1%
시흥시 27
28.1%
12 3
 
3.1%
월곶중앙로 2
 
2.1%
군자로 2
 
2.1%
월곶중앙로58번길 1
 
1.0%
새재로 1
 
1.0%
호현로10번길 1
 
1.0%
21-2 1
 
1.0%
역전로 1
 
1.0%
Other values (30) 30
31.2%
2023-12-13T04:53:21.583505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
15.2%
시 57
12.6%
도 28
 
6.2%
경 27
 
6.0%
흥 27
 
6.0%
기 27
 
6.0%
로 26
 
5.7%
1 21
 
4.6%
길 16
 
3.5%
번 15
 
3.3%
Other values (39) 140
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
63.6%
Decimal Number 90
 
19.9%
Space Separator 69
 
15.2%
Dash Punctuation 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 57
19.8%
도 28
9.7%
경 27
9.4%
흥 27
9.4%
기 27
9.4%
로 26
9.0%
길 16
 
5.6%
번 15
 
5.2%
앙 5
 
1.7%
중 5
 
1.7%
Other values (27) 55
19.1%
Decimal Number
ValueCountFrequency (%)
1 21
23.3%
2 15
16.7%
5 10
11.1%
3 10
11.1%
0 7
 
7.8%
6 7
 
7.8%
8 6
 
6.7%
4 6
 
6.7%
9 4
 
4.4%
7 4
 
4.4%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
63.6%
Common 165
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 57
19.8%
도 28
9.7%
경 27
9.4%
흥 27
9.4%
기 27
9.4%
로 26
9.0%
길 16
 
5.6%
번 15
 
5.2%
앙 5
 
1.7%
중 5
 
1.7%
Other values (27) 55
19.1%
Common
ValueCountFrequency (%)
69
41.8%
1 21
 
12.7%
2 15
 
9.1%
5 10
 
6.1%
3 10
 
6.1%
0 7
 
4.2%
6 7
 
4.2%
8 6
 
3.6%
- 6
 
3.6%
4 6
 
3.6%
Other values (2) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
63.6%
ASCII 165
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
41.8%
1 21
 
12.7%
2 15
 
9.1%
5 10
 
6.1%
3 10
 
6.1%
0 7
 
4.2%
6 7
 
4.2%
8 6
 
3.6%
- 6
 
3.6%
4 6
 
3.6%
Other values (2) 8
 
4.8%
Hangul
ValueCountFrequency (%)
시 57
19.8%
도 28
9.7%
경 27
9.4%
흥 27
9.4%
기 27
9.4%
로 26
9.0%
길 16
 
5.6%
번 15
 
5.2%
앙 5
 
1.7%
중 5
 
1.7%
Other values (27) 55
19.1%

주건축물수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
20 
2
4 
6
 
2
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 20
74.1%
2 4
 
14.8%
6 2
 
7.4%
7 1
 
3.7%

Length

2023-12-13T04:53:21.752741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:53:21.874687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
74.1%
2 4
 
14.8%
6 2
 
7.4%
7 1
 
3.7%

건축면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2757.7663
Minimum339.94
Maximum14865.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:53:22.002074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum339.94
5-th percentile423.361
Q1828.12
median1294.79
Q31921.24
95-th percentile13754.095
Maximum14865.73
Range14525.79
Interquartile range (IQR)1093.12

Descriptive statistics

Standard deviation4108.1917
Coefficient of variation (CV)1.4896809
Kurtosis4.7979177
Mean2757.7663
Median Absolute Deviation (MAD)589.83
Skewness2.4223462
Sum74459.69
Variance16877239
MonotonicityNot monotonic
2023-12-13T04:53:22.157473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1318.8 1
 
3.7%
948.46 1
 
3.7%
2638.43 1
 
3.7%
3866.89 1
 
3.7%
14865.73 1
 
3.7%
14668.15 1
 
3.7%
11621.3 1
 
3.7%
339.94 1
 
3.7%
412.45 1
 
3.7%
448.82 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
339.94 1
3.7%
412.45 1
3.7%
448.82 1
3.7%
552.53 1
3.7%
565.01 1
3.7%
568.3 1
3.7%
796.8 1
3.7%
859.44 1
3.7%
903.04 1
3.7%
948.46 1
3.7%
ValueCountFrequency (%)
14865.73 1
3.7%
14668.15 1
3.7%
11621.3 1
3.7%
4853.44 1
3.7%
3866.89 1
3.7%
2638.43 1
3.7%
1957.86 1
3.7%
1884.62 1
3.7%
1752.86 1
3.7%
1390.02 1
3.7%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36557.471
Minimum3881.68
Maximum192791.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:53:22.295542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3881.68
5-th percentile4312.653
Q17046.775
median13052.97
Q328272.161
95-th percentile171989.6
Maximum192791.18
Range188909.5
Interquartile range (IQR)21225.386

Descriptive statistics

Standard deviation54924.046
Coefficient of variation (CV)1.5024028
Kurtosis3.4339997
Mean36557.471
Median Absolute Deviation (MAD)8091.07
Skewness2.1403449
Sum987051.71
Variance3.0166509 × 109
MonotonicityNot monotonic
2023-12-13T04:53:22.417836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
16870.67 1
 
3.7%
11052.15 1
 
3.7%
39262.0 1
 
3.7%
66157.23 1
 
3.7%
172794.43 1
 
3.7%
170111.66 1
 
3.7%
192791.18 1
 
3.7%
3881.68 1
 
3.7%
4961.9 1
 
3.7%
4273.05 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
3881.68 1
3.7%
4273.05 1
3.7%
4405.06 1
3.7%
4815.38 1
3.7%
4961.9 1
3.7%
4962.14 1
3.7%
6568.48 1
3.7%
7525.07 1
3.7%
10582.11 1
3.7%
10903.27 1
3.7%
ValueCountFrequency (%)
192791.18 1
3.7%
172794.43 1
3.7%
170111.66 1
3.7%
91858.0 1
3.7%
66157.23 1
3.7%
39262.0 1
3.7%
28372.542 1
3.7%
28171.78 1
3.7%
24135.07 1
3.7%
16870.67 1
3.7%

용적률
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.83444
Minimum245.52
Maximum3344.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:53:22.582397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum245.52
5-th percentile337.422
Q1493.985
median601.44
Q3775.39
95-th percentile958.454
Maximum3344.67
Range3099.15
Interquartile range (IQR)281.405

Descriptive statistics

Standard deviation558.81893
Coefficient of variation (CV)0.78393929
Kurtosis20.528379
Mean712.83444
Median Absolute Deviation (MAD)168.08
Skewness4.2638486
Sum19246.53
Variance312278.59
MonotonicityNot monotonic
2023-12-13T04:53:22.743070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
724.83 1
 
3.7%
769.52 1
 
3.7%
799.95 1
 
3.7%
979.67 1
 
3.7%
379.26 1
 
3.7%
369.14 1
 
3.7%
349.84 1
 
3.7%
601.44 1
 
3.7%
491.71 1
 
3.7%
552.59 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
245.52 1
3.7%
332.1 1
3.7%
349.84 1
3.7%
369.14 1
3.7%
379.26 1
3.7%
446.66 1
3.7%
491.71 1
3.7%
496.26 1
3.7%
526.56 1
3.7%
533.22 1
3.7%
ValueCountFrequency (%)
3344.67 1
3.7%
979.67 1
3.7%
908.95 1
3.7%
835.65 1
3.7%
799.95 1
3.7%
795.76 1
3.7%
779.56 1
3.7%
771.22 1
3.7%
769.52 1
3.7%
724.83 1
3.7%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.48148
Minimum20
Maximum905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T04:53:22.884574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile31.8
Q162.5
median154
Q3271.5
95-th percentile867.8
Maximum905
Range885
Interquartile range (IQR)209

Descriptive statistics

Standard deviation252.1656
Coefficient of variation (CV)1.080024
Kurtosis2.8282029
Mean233.48148
Median Absolute Deviation (MAD)106
Skewness1.8752763
Sum6304
Variance63587.49
MonotonicityNot monotonic
2023-12-13T04:53:23.019787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
252 2
 
7.4%
48 2
 
7.4%
194 1
 
3.7%
273 1
 
3.7%
270 1
 
3.7%
297 1
 
3.7%
890 1
 
3.7%
905 1
 
3.7%
816 1
 
3.7%
20 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
20 1
3.7%
30 1
3.7%
36 1
3.7%
41 1
3.7%
48 2
7.4%
59 1
3.7%
66 1
3.7%
77 1
3.7%
88 1
3.7%
119 1
3.7%
ValueCountFrequency (%)
905 1
3.7%
890 1
3.7%
816 1
3.7%
426 1
3.7%
299 1
3.7%
297 1
3.7%
273 1
3.7%
270 1
3.7%
252 2
7.4%
198 1
3.7%

준공일자
Date

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2002-06-18 00:00:00
Maximum2021-10-15 00:00:00
2023-12-13T04:53:23.155907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:23.288759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2023-07-28 00:00:00
Maximum2023-07-28 00:00:00
2023-12-13T04:53:23.396957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:23.496059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T04:53:18.421940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.144305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.597924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.052320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.581372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.257792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.719172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.139585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.683213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.388759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.833198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.238598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.768914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.488702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:17.950205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:53:18.335785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:53:23.585104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명지번주소도로명주소주건축물수건축면적연면적용적률세대수준공일자
건물명1.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
주건축물수1.0001.0001.0001.0000.9370.9330.0000.9151.000
건축면적1.0001.0001.0000.9371.0000.9990.5070.9320.981
연면적1.0001.0001.0000.9330.9991.0000.5090.9461.000
용적률1.0001.0001.0000.0000.5070.5091.0000.5031.000
세대수1.0001.0001.0000.9150.9320.9460.5031.0001.000
준공일자1.0001.0001.0001.0000.9811.0001.0001.0001.000
2023-12-13T04:53:23.706263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축면적연면적용적률세대수주건축물수
건축면적1.0000.9590.0120.7800.797
연면적0.9591.0000.1260.8040.792
용적률0.0120.1261.0000.0520.000
세대수0.7800.8040.0521.0000.823
주건축물수0.7970.7920.0000.8231.000

Missing values

2023-12-13T04:53:18.878348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:53:19.063724image/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

구분건물명지번주소도로명주소주건축물수건축면적연면적용적률세대수준공일자데이터기준일자
0주상복합연성쉐르빌경기도 시흥시 장곡동 811-3 외3필지경기도 시흥시 인선길4611318.816870.67724.831942002-06-182023-07-28
1주상복합데코빌아파트경기도 시흥시 하중동 878-4 외 1필지경기도 시흥시 연성로13번길5-21948.4611052.15769.521542003-05-012023-07-28
2주상복합써미트빌경기도 시흥시 하상동 377-4 외1필지경기도 시흥시 연성로971565.014815.38446.66302003-12-182023-07-28
3주상복합J-PARK 주상복합경기도 시흥시 장현동 543-4경기도 시흥시 새재로1111160.6416764.85779.561252004-06-232023-07-28
4주상복합블리스아파트경기도 시흥시 장곡동 817-5 외1필지경기도 시흥시 진말로3번길121796.86568.48496.26362004-08-042023-07-28
5주상복합성마루마을 유호 N플러스빌경기도 시흥시 하중동 878-1 외 2필지경기도 시흥시 연성로13번길1111390.0214204.23533.221192004-09-032023-07-28
6주상복합장현 N플러스빌 I경기도 시흥시 장현동 541-4 외3필지경기도 시흥시 시청로68번길411752.8628171.78703.562522004-09-242023-07-28
7주상복합장현 N플러스빌 II경기도 시흥시 장현동 542경기도 시흥시 새재로311884.6228372.542718.092522004-09-242023-07-28
8주상복합동운디오빌경기도 시흥시 거모동 1756-1 외1필지경기도 시흥시 군자로52011329.1714290.13543.18772004-12-012023-07-28
9주상복합드림팰리스경기도 시흥시 장현동 546-1 외1필지경기도 시흥시 시청로68번길2611093.4813052.97649.38662004-12-172023-07-28
구분건물명지번주소도로명주소주건축물수건축면적연면적용적률세대수준공일자데이터기준일자
17주상복합청담예가경기도 시흥시 신천동 708-7경기도 시흥시 호현로10번길 21-21552.534405.063344.67482016-11-162023-07-28
18주상복합스카이드림시티경기도 시흥시 정왕동 2303-10경기도 시흥시 역전로 30021322.1310903.27245.522992017-07-242023-07-28
19주상복합해오름아파트경기도 시흥시 거모동 1761-16경기도 시흥시 군자로 5192448.824273.05552.59412017-01-232023-07-28
20주상복합웅진스위트홈경기도 시흥시 장현동 547-1경기도 시흥시 새재로 23-21412.454961.9491.711262018-06-072023-07-28
21주상복합성지타워1차경기도 시흥시 신천동 713-3경기도 시흥시 호현로9번길 51339.943881.68601.44202019-03-122023-07-28
22주상복합호반써밋플레이스경기도 시흥시 은행동 644경기도 시흥시 은계남로 12711621.3192791.18349.848162019-05-082023-07-28
23주상복합배곧호반써밋플레이스 C2경기도 시흥시 정왕동 2528경기도 시흥시 서울대학로264번길 12614668.15170111.66369.149052019-06-282023-07-28
24주상복합배곧호반써밋플레이스 C1경기도 시흥시 정왕동 2511경기도 시흥시 서울대학로278번길 19-13614865.73172794.43379.268902019-06-282023-07-28
25주상복합부성 파인하버뷰경기도 시흥시 월곶동 1008-2경기도 시흥시 월곶중앙로70번길 1223866.8966157.23979.672972019-12-042023-07-28
26주상복합월곶역 블루밍더마크경기도 시흥시 월곶동 1008경기도 시흥시 월곶중앙로58번길 5-622638.4339262.0799.952702021-10-152023-07-28