Overview

Dataset statistics

Number of variables8
Number of observations357
Missing cells373
Missing cells (%)13.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory66.4 B

Variable types

Categorical2
Text3
Numeric2
DateTime1

Dataset

Description남양주시 기계설비 성능점검 대상 건축물 정보 데이터로, 소재지 주소(도로명/지번) 및 건축물 용도별 성능점검 기준(세대수/연면적) 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/15124730/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소유자명 is highly overall correlated with 건축물용도High correlation
건축물용도 is highly overall correlated with 세대수 and 1 other fieldsHigh correlation
세대수 is highly overall correlated with 건축물용도High correlation
건물명 has 16 (4.5%) missing valuesMissing
세대수 has 205 (57.4%) missing valuesMissing
건축물 연면적(제곱미터) has 152 (42.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:02:26.490971
Analysis finished2023-12-12 23:02:27.510924
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물용도
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
공동주택
154 
교육연구시설
70 
업무시설
34 
제1종근린생활시설
30 
제2종근린생활시설
21 
Other values (10)
48 

Length

Max length9
Median length4
Mean length5.0728291
Min length2

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 154
43.1%
교육연구시설 70
19.6%
업무시설 34
 
9.5%
제1종근린생활시설 30
 
8.4%
제2종근린생활시설 21
 
5.9%
공장 15
 
4.2%
판매시설 12
 
3.4%
의료시설 6
 
1.7%
자동차관련시설 5
 
1.4%
숙박시설 4
 
1.1%
Other values (5) 6
 
1.7%

Length

2023-12-13T08:02:27.586634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 154
43.1%
교육연구시설 70
19.6%
업무시설 34
 
9.5%
제1종근린생활시설 30
 
8.4%
제2종근린생활시설 21
 
5.9%
공장 15
 
4.2%
판매시설 12
 
3.4%
의료시설 6
 
1.7%
자동차관련시설 5
 
1.4%
숙박시설 4
 
1.1%
Other values (5) 6
 
1.7%

건물명
Text

MISSING 

Distinct339
Distinct (%)99.4%
Missing16
Missing (%)4.5%
Memory size2.9 KiB
2023-12-13T08:02:27.857559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.8914956
Min length2

Characters and Unicode

Total characters2691
Distinct characters334
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)98.8%

Sample

1st row두산알프하임아파트
2nd row다산 센트럴파크
3rd row다산지금 경기행복주택
4th row플루리움 4, 5단지
5th row한강우성아파트
ValueCountFrequency (%)
다산 18
 
3.9%
오피스텔 5
 
1.1%
남양주 5
 
1.1%
타워 4
 
0.9%
다산자이 4
 
0.9%
별내역 4
 
0.9%
힐스테이트 3
 
0.7%
다산진건 3
 
0.7%
1차 3
 
0.7%
2차 3
 
0.7%
Other values (385) 407
88.7%
2023-12-13T08:02:28.261939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
4.4%
학 72
 
2.7%
스 70
 
2.6%
교 65
 
2.4%
산 65
 
2.4%
지 65
 
2.4%
다 51
 
1.9%
등 51
 
1.9%
이 51
 
1.9%
내 44
 
1.6%
Other values (324) 2039
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2415
89.7%
Space Separator 118
 
4.4%
Decimal Number 80
 
3.0%
Uppercase Letter 30
 
1.1%
Dash Punctuation 13
 
0.5%
Open Punctuation 9
 
0.3%
Close Punctuation 9
 
0.3%
Lowercase Letter 6
 
0.2%
Letter Number 6
 
0.2%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 72
 
3.0%
스 70
 
2.9%
교 65
 
2.7%
산 65
 
2.7%
지 65
 
2.7%
다 51
 
2.1%
등 51
 
2.1%
이 51
 
2.1%
내 44
 
1.8%
별 43
 
1.8%
Other values (286) 1838
76.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
16.7%
A 3
10.0%
C 3
10.0%
E 2
 
6.7%
D 2
 
6.7%
M 2
 
6.7%
B 2
 
6.7%
P 2
 
6.7%
K 2
 
6.7%
N 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
2 26
32.5%
1 23
28.7%
3 10
 
12.5%
4 6
 
7.5%
5 5
 
6.2%
7 3
 
3.8%
6 3
 
3.8%
0 2
 
2.5%
8 1
 
1.2%
9 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
s 1
 
16.7%
i 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 1
 
20.0%
/ 1
 
20.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
50.0%
Ⅱ 3
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2415
89.7%
Common 234
 
8.7%
Latin 42
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 72
 
3.0%
스 70
 
2.9%
교 65
 
2.7%
산 65
 
2.7%
지 65
 
2.7%
다 51
 
2.1%
등 51
 
2.1%
이 51
 
2.1%
내 44
 
1.8%
별 43
 
1.8%
Other values (286) 1838
76.1%
Latin
ValueCountFrequency (%)
S 5
 
11.9%
e 4
 
9.5%
A 3
 
7.1%
Ⅰ 3
 
7.1%
C 3
 
7.1%
Ⅱ 3
 
7.1%
E 2
 
4.8%
D 2
 
4.8%
M 2
 
4.8%
B 2
 
4.8%
Other values (11) 13
31.0%
Common
ValueCountFrequency (%)
118
50.4%
2 26
 
11.1%
1 23
 
9.8%
- 13
 
5.6%
3 10
 
4.3%
( 9
 
3.8%
) 9
 
3.8%
4 6
 
2.6%
5 5
 
2.1%
7 3
 
1.3%
Other values (7) 12
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2415
89.7%
ASCII 270
 
10.0%
Number Forms 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
43.7%
2 26
 
9.6%
1 23
 
8.5%
- 13
 
4.8%
3 10
 
3.7%
( 9
 
3.3%
) 9
 
3.3%
4 6
 
2.2%
5 5
 
1.9%
S 5
 
1.9%
Other values (26) 46
 
17.0%
Hangul
ValueCountFrequency (%)
학 72
 
3.0%
스 70
 
2.9%
교 65
 
2.7%
산 65
 
2.7%
지 65
 
2.7%
다 51
 
2.1%
등 51
 
2.1%
이 51
 
2.1%
내 44
 
1.8%
별 43
 
1.8%
Other values (286) 1838
76.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
50.0%
Ⅱ 3
50.0%

소유자명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
205 
입주자대표회의
125 
한국토지주택공사 경기북부지역본부
 
18
경기주택도시공사
 
6
부강주택관리㈜
 
2

Length

Max length17
Median length4
Mean length5.7983193
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row입주자대표회의
2nd row경기주택도시공사
3rd row경기주택도시공사
4th row입주자대표회의
5th row입주자대표회의

Common Values

ValueCountFrequency (%)
<NA> 205
57.4%
입주자대표회의 125
35.0%
한국토지주택공사 경기북부지역본부 18
 
5.0%
경기주택도시공사 6
 
1.7%
부강주택관리㈜ 2
 
0.6%
호평금강아파트 1
 
0.3%

Length

2023-12-13T08:02:28.437262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:02:28.548985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 205
54.7%
입주자대표회의 125
33.3%
한국토지주택공사 18
 
4.8%
경기북부지역본부 18
 
4.8%
경기주택도시공사 6
 
1.6%
부강주택관리㈜ 2
 
0.5%
호평금강아파트 1
 
0.3%

소재지도로명주소
Text

Distinct350
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T08:02:28.780641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length21.182073
Min length14

Characters and Unicode

Total characters7562
Distinct characters119
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

Unique345 ?
Unique (%)96.6%

Sample

1st row경기도 남양주시 백봉로 32
2nd row경기도 남양주시 다산중앙로82번길 87-17
3rd row경기도 남양주시 다산중앙로82번길106
4th row경기도 남양주시 도농로 34
5th row경기도 남양주시 덕소로 270
ValueCountFrequency (%)
경기도 357
22.2%
남양주시 357
22.2%
다산동 61
 
3.8%
별내동 33
 
2.0%
진접읍 24
 
1.5%
경춘로 18
 
1.1%
다산순환로 18
 
1.1%
호평동 15
 
0.9%
별내3로 13
 
0.8%
덕소로 12
 
0.7%
Other values (358) 703
43.6%
2023-12-13T08:02:29.195680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1254
16.6%
경 392
 
5.2%
도 376
 
5.0%
남 374
 
4.9%
양 360
 
4.8%
주 357
 
4.7%
시 357
 
4.7%
기 357
 
4.7%
로 355
 
4.7%
1 281
 
3.7%
Other values (109) 3099
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4652
61.5%
Decimal Number 1350
 
17.9%
Space Separator 1254
 
16.6%
Close Punctuation 122
 
1.6%
Open Punctuation 122
 
1.6%
Dash Punctuation 62
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 392
 
8.4%
도 376
 
8.1%
남 374
 
8.0%
양 360
 
7.7%
주 357
 
7.7%
시 357
 
7.7%
기 357
 
7.7%
로 355
 
7.6%
산 148
 
3.2%
다 137
 
2.9%
Other values (95) 1439
30.9%
Decimal Number
ValueCountFrequency (%)
1 281
20.8%
2 200
14.8%
3 165
12.2%
5 147
10.9%
4 122
9.0%
6 110
 
8.1%
8 99
 
7.3%
0 96
 
7.1%
7 72
 
5.3%
9 58
 
4.3%
Space Separator
ValueCountFrequency (%)
1254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4652
61.5%
Common 2910
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 392
 
8.4%
도 376
 
8.1%
남 374
 
8.0%
양 360
 
7.7%
주 357
 
7.7%
시 357
 
7.7%
기 357
 
7.7%
로 355
 
7.6%
산 148
 
3.2%
다 137
 
2.9%
Other values (95) 1439
30.9%
Common
ValueCountFrequency (%)
1254
43.1%
1 281
 
9.7%
2 200
 
6.9%
3 165
 
5.7%
5 147
 
5.1%
) 122
 
4.2%
4 122
 
4.2%
( 122
 
4.2%
6 110
 
3.8%
8 99
 
3.4%
Other values (4) 288
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4652
61.5%
ASCII 2910
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1254
43.1%
1 281
 
9.7%
2 200
 
6.9%
3 165
 
5.7%
5 147
 
5.1%
) 122
 
4.2%
4 122
 
4.2%
( 122
 
4.2%
6 110
 
3.8%
8 99
 
3.4%
Other values (4) 288
 
9.9%
Hangul
ValueCountFrequency (%)
경 392
 
8.4%
도 376
 
8.1%
남 374
 
8.0%
양 360
 
7.7%
주 357
 
7.7%
시 357
 
7.7%
기 357
 
7.7%
로 355
 
7.6%
산 148
 
3.2%
다 137
 
2.9%
Other values (95) 1439
30.9%

소재지지번주소
Text

Distinct350
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-13T08:02:29.599913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.655462
Min length11

Characters and Unicode

Total characters6660
Distinct characters85
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

Unique346 ?
Unique (%)96.9%

Sample

1st row경기도 남양주시 호평동 산37-19
2nd row경기도 남양주시 다산동 6107
3rd row경기도 다산동 6110번지
4th row경기도 남양주시 다산동 4002-1
5th row경기도 남양주시 와부읍 도곡리 1012
ValueCountFrequency (%)
경기도 357
22.9%
남양주시 354
22.7%
다산동 99
 
6.4%
별내동 61
 
3.9%
진접읍 47
 
3.0%
호평동 33
 
2.1%
와부읍 27
 
1.7%
평내동 24
 
1.5%
화도읍 24
 
1.5%
금곡리 21
 
1.3%
Other values (372) 511
32.8%
2023-12-13T08:02:30.436243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1201
18.0%
도 391
 
5.9%
남 374
 
5.6%
경 359
 
5.4%
양 358
 
5.4%
기 357
 
5.4%
주 357
 
5.4%
시 354
 
5.3%
1 233
 
3.5%
동 227
 
3.4%
Other values (75) 2449
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4010
60.2%
Decimal Number 1324
 
19.9%
Space Separator 1201
 
18.0%
Dash Punctuation 125
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 391
 
9.8%
남 374
 
9.3%
경 359
 
9.0%
양 358
 
8.9%
기 357
 
8.9%
주 357
 
8.9%
시 354
 
8.8%
동 227
 
5.7%
리 125
 
3.1%
읍 121
 
3.0%
Other values (63) 987
24.6%
Decimal Number
ValueCountFrequency (%)
1 233
17.6%
6 190
14.4%
0 184
13.9%
2 124
9.4%
3 104
7.9%
5 103
7.8%
9 98
7.4%
7 97
7.3%
4 97
7.3%
8 94
7.1%
Space Separator
ValueCountFrequency (%)
1201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4010
60.2%
Common 2650
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 391
 
9.8%
남 374
 
9.3%
경 359
 
9.0%
양 358
 
8.9%
기 357
 
8.9%
주 357
 
8.9%
시 354
 
8.8%
동 227
 
5.7%
리 125
 
3.1%
읍 121
 
3.0%
Other values (63) 987
24.6%
Common
ValueCountFrequency (%)
1201
45.3%
1 233
 
8.8%
6 190
 
7.2%
0 184
 
6.9%
- 125
 
4.7%
2 124
 
4.7%
3 104
 
3.9%
5 103
 
3.9%
9 98
 
3.7%
7 97
 
3.7%
Other values (2) 191
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4010
60.2%
ASCII 2650
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1201
45.3%
1 233
 
8.8%
6 190
 
7.2%
0 184
 
6.9%
- 125
 
4.7%
2 124
 
4.7%
3 104
 
3.9%
5 103
 
3.9%
9 98
 
3.7%
7 97
 
3.7%
Other values (2) 191
 
7.2%
Hangul
ValueCountFrequency (%)
도 391
 
9.8%
남 374
 
9.3%
경 359
 
9.0%
양 358
 
8.9%
기 357
 
8.9%
주 357
 
8.9%
시 354
 
8.8%
동 227
 
5.7%
리 125
 
3.1%
읍 121
 
3.0%
Other values (63) 987
24.6%

세대수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct137
Distinct (%)90.1%
Missing205
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean919.59868
Minimum500
Maximum2894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T08:02:30.583087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile555.3
Q1641.5
median809.5
Q31100
95-th percentile1614.45
Maximum2894
Range2394
Interquartile range (IQR)458.5

Descriptive statistics

Standard deviation371.27943
Coefficient of variation (CV)0.40374071
Kurtosis5.6453135
Mean919.59868
Median Absolute Deviation (MAD)200
Skewness1.9135671
Sum139779
Variance137848.41
MonotonicityNot monotonic
2023-12-13T08:02:30.737856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
593 3
 
0.8%
1144 2
 
0.6%
679 2
 
0.6%
657 2
 
0.6%
584 2
 
0.6%
595 2
 
0.6%
652 2
 
0.6%
800 2
 
0.6%
642 2
 
0.6%
982 2
 
0.6%
Other values (127) 131
36.7%
(Missing) 205
57.4%
ValueCountFrequency (%)
500 1
0.3%
509 1
0.3%
520 1
0.3%
528 1
0.3%
538 1
0.3%
547 1
0.3%
550 1
0.3%
552 1
0.3%
558 1
0.3%
571 1
0.3%
ValueCountFrequency (%)
2894 1
0.3%
2078 1
0.3%
2075 1
0.3%
2042 1
0.3%
1997 1
0.3%
1685 1
0.3%
1620 1
0.3%
1615 1
0.3%
1614 1
0.3%
1488 1
0.3%

건축물 연면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct203
Distinct (%)99.0%
Missing152
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean22743.464
Minimum10021.4
Maximum331601.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T08:02:30.871642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10021.4
5-th percentile10279.336
Q111480.43
median14016.81
Q318680.54
95-th percentile54382.28
Maximum331601.67
Range321580.27
Interquartile range (IQR)7200.11

Descriptive statistics

Standard deviation34096.206
Coefficient of variation (CV)1.499165
Kurtosis44.219371
Mean22743.464
Median Absolute Deviation (MAD)2980.3199
Skewness6.0929542
Sum4662410.1
Variance1.1625513 × 109
MonotonicityNot monotonic
2023-12-13T08:02:31.045058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19839.13 2
 
0.6%
10181.13 2
 
0.6%
17050.82 1
 
0.3%
15871.24 1
 
0.3%
16073.704 1
 
0.3%
16181.37 1
 
0.3%
16201.5 1
 
0.3%
16310.24 1
 
0.3%
16419.05 1
 
0.3%
16441.81 1
 
0.3%
Other values (193) 193
54.1%
(Missing) 152
42.6%
ValueCountFrequency (%)
10021.4 1
0.3%
10040.53 1
0.3%
10078.02 1
0.3%
10106.48 1
0.3%
10121.51 1
0.3%
10169.21 1
0.3%
10181.13 2
0.6%
10189.08 1
0.3%
10257.2 1
0.3%
10277.83 1
0.3%
ValueCountFrequency (%)
331601.67 1
0.3%
249723.602 1
0.3%
160966.47 1
0.3%
145545.86 1
0.3%
127499.25 1
0.3%
127328.09 1
0.3%
100715.34 1
0.3%
89826.67 1
0.3%
64948.79 1
0.3%
61559.0709 1
0.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2023-10-27 00:00:00
Maximum2023-10-27 00:00:00
2023-12-13T08:02:31.175215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:02:31.260880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:02:27.038628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:02:26.885238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:02:27.108813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:02:26.966395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:02:31.355551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물용도소유자명세대수건축물 연면적(제곱미터)
건축물용도1.000NaNNaN0.247
소유자명NaN1.0000.347NaN
세대수NaN0.3471.000NaN
건축물 연면적(제곱미터)0.247NaNNaN1.000
2023-12-13T08:02:31.456288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소유자명건축물용도
소유자명1.0001.000
건축물용도1.0001.000
2023-12-13T08:02:31.548011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세대수건축물 연면적(제곱미터)건축물용도소유자명
세대수1.000NaN1.0000.230
건축물 연면적(제곱미터)NaN1.0000.1120.000
건축물용도1.0000.1121.0001.000
소유자명0.2300.0001.0001.000

Missing values

2023-12-13T08:02:27.226593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:02:27.348655image/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.
2023-12-13T08:02:27.456775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

건축물용도건물명소유자명소재지도로명주소소재지지번주소세대수건축물 연면적(제곱미터)데이터기준일자
0공동주택두산알프하임아파트입주자대표회의경기도 남양주시 백봉로 32경기도 남양주시 호평동 산37-192894<NA>2023-10-27
1공동주택다산 센트럴파크경기주택도시공사경기도 남양주시 다산중앙로82번길 87-17경기도 남양주시 다산동 61072075<NA>2023-10-27
2공동주택다산지금 경기행복주택경기주택도시공사경기도 남양주시 다산중앙로82번길106경기도 다산동 6110번지2078<NA>2023-10-27
3공동주택플루리움 4, 5단지입주자대표회의경기도 남양주시 도농로 34경기도 남양주시 다산동 4002-12042<NA>2023-10-27
4공동주택한강우성아파트입주자대표회의경기도 남양주시 덕소로 270경기도 남양주시 와부읍 도곡리 10121488<NA>2023-10-27
5공동주택강산마을코오롱대성아파트입주자대표회의경기도 남양주시 덕소로97번길 69경기도 남양주시 와부읍 덕소리 145-41256<NA>2023-10-27
6공동주택덕소두산위브아파트입주자대표회의경기도 남양주시 덕소로 180경기도 남양주시 와부읍 도곡리 986-11253<NA>2023-10-27
7공동주택평내주공입주자대표회의경기도 남양주시 평내로 46경기도 남양주시 평내동 5621050<NA>2023-10-27
8공동주택호평중흥S클래스입주자대표회의경기도 남양주시 늘을3로 65-26경기도 남양주시 호평동 6161054<NA>2023-10-27
9공동주택동부센트레빌입주자대표회의경기도 남양주시 덕소로97번길 101경기도 남양주시 와부읍 덕소리 6131220<NA>2023-10-27
건축물용도건물명소유자명소재지도로명주소소재지지번주소세대수건축물 연면적(제곱미터)데이터기준일자
347공장다산진건 블루웨일 지식산업센터 1차<NA>경기도 남양주시 다산중앙로19번길 21 (다산동)경기도 남양주시 다산동 6144<NA>56543.21212023-10-27
348공장다산진건 블루웨일 지식산업센터 2차<NA>경기도 남양주시 다산중앙로19번길 25-23 (다산동)경기도 남양주시 다산동 6144-1<NA>61559.07092023-10-27
349공장한강프리미어갤러리<NA>경기도 남양주시 다산지금로163번길 6경기도 남양주시 다산동 6245<NA>64948.792023-10-27
350공장동광비즈타워<NA>경기도 남양주시 순화궁로 272 (별내동)경기도 남양주시 별내동 974-1<NA>89826.672023-10-27
351교육연구시설경복대학 남양주캠퍼스<NA>경기도 남양주시 진접읍 경복대로 425-56경기도 남양주시 진접읍 금곡리 383<NA>100715.342023-10-27
352판매시설현대프리미엄아울렛 SPACE1<NA>경기도 남양주시 다산순환로 50 (다산동)경기도 남양주시 다산동 6141<NA>127328.092023-10-27
353업무시설힐스테이트다산지금디포레<NA>경기도 남양주시 경춘로 490경기도 남양주시 다산동 6192-1<NA>127499.252023-10-27
354숙박시설별내역 아이파크 스위트<NA>경기도 남양주시 별내중앙로 10 (별내동)경기도 남양주시 별내동 1005<NA>160966.472023-10-27
355공장현대 테라타워 DIMC<NA>경기도 남양주시 다산지금로 202 (다산동)경기도 남양주시 다산동 6250<NA>249723.6022023-10-27
356공장다산 현대프리미어캠퍼스<NA>경기도 남양주시 다산순환로 20 (다산동)경기도 남양주시 다산동 6143<NA>331601.672023-10-27