Overview

Dataset statistics

Number of variables9
Number of observations4833
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory344.7 KiB
Average record size in memory73.0 B

Variable types

Categorical5
Text3
DateTime1

Dataset

Description녹색건축물 조성 지원법 제17조에 따라 인증된 제로에너지건축물에 대한 건물명, 에너지 자립률, 연면적, 인증등급 등의 데이터
Author한국에너지공단
URLhttps://www.data.go.kr/data/15085042/fileData.do

Alerts

건물용도 is highly overall correlated with 건물주용도High correlation
건물주용도 is highly overall correlated with 건물용도High correlation
건물용도 is highly imbalanced (84.3%)Imbalance

Reproduction

Analysis started2024-04-21 01:57:46.746381
Analysis finished2024-04-21 01:57:49.333873
Duration2.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
예비인증
3880 
본인증
953 

Length

Max length4
Median length4
Mean length3.802814
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본인증
2nd row예비인증
3rd row예비인증
4th row예비인증
5th row예비인증

Common Values

ValueCountFrequency (%)
예비인증 3880
80.3%
본인증 953
 
19.7%

Length

2024-04-21T10:57:49.397856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:57:49.491945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예비인증 3880
80.3%
본인증 953
 
19.7%

건물주용도
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
교육연구시설
1687 
업무시설
797 
교정 및 군사 시설
426 
제1종 근린생활시설
421 
운동시설
360 
Other values (24)
1142 

Length

Max length17
Median length14
Mean length6.3186427
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row제1종 근린생활시설
2nd row교육연구시설
3rd row교육연구시설
4th row제1종 근린생활시설
5th row교정 및 군사 시설

Common Values

ValueCountFrequency (%)
교육연구시설 1687
34.9%
업무시설 797
16.5%
교정 및 군사 시설 426
 
8.8%
제1종 근린생활시설 421
 
8.7%
운동시설 360
 
7.4%
노유자시설 339
 
7.0%
문화 및 집회시설 254
 
5.3%
수련시설 79
 
1.6%
공장 72
 
1.5%
공동주택 61
 
1.3%
Other values (19) 337
 
7.0%

Length

2024-04-21T10:57:49.608284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육연구시설 1687
22.8%
업무시설 797
10.8%
및 697
9.4%
시설 500
 
6.8%
근린생활시설 475
 
6.4%
교정 426
 
5.8%
군사 426
 
5.8%
제1종 421
 
5.7%
운동시설 360
 
4.9%
노유자시설 339
 
4.6%
Other values (33) 1277
17.2%

건물용도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
주거용 이외
4723 
주거용
 
110

Length

Max length6
Median length6
Mean length5.9317194
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주거용 이외
2nd row주거용 이외
3rd row주거용 이외
4th row주거용 이외
5th row주거용 이외

Common Values

ValueCountFrequency (%)
주거용 이외 4723
97.7%
주거용 110
 
2.3%

Length

2024-04-21T10:57:49.756791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:57:49.853631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거용 4833
50.6%
이외 4723
49.4%

에너지자립률
Text

Distinct3087
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
2024-04-21T10:57:50.192950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0368301
Min length5

Characters and Unicode

Total characters24343
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1946 ?
Unique (%)40.3%

Sample

1st row45.57
2nd row36.09
3rd row32.80
4th row34.78
5th row44.42
ValueCountFrequency (%)
50.00 7
 
0.1%
27.28 7
 
0.1%
22.65 7
 
0.1%
23.91 7
 
0.1%
27.54 7
 
0.1%
29.88 6
 
0.1%
28.44 6
 
0.1%
31.25 6
 
0.1%
35.46 6
 
0.1%
26.08 5
 
0.1%
Other values (3078) 4770
98.7%
2024-04-21T10:57:50.688157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4833
19.9%
2 3297
13.5%
3 2661
10.9%
4 2190
9.0%
5 1830
 
7.5%
0 1765
 
7.3%
1 1722
 
7.1%
6 1644
 
6.8%
7 1544
 
6.3%
8 1438
 
5.9%
Other values (2) 1419
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19509
80.1%
Other Punctuation 4833
 
19.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3297
16.9%
3 2661
13.6%
4 2190
11.2%
5 1830
9.4%
0 1765
9.0%
1 1722
8.8%
6 1644
8.4%
7 1544
7.9%
8 1438
7.4%
9 1418
7.3%
Other Punctuation
ValueCountFrequency (%)
. 4833
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24343
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4833
19.9%
2 3297
13.5%
3 2661
10.9%
4 2190
9.0%
5 1830
 
7.5%
0 1765
 
7.3%
1 1722
 
7.1%
6 1644
 
6.8%
7 1544
 
6.3%
8 1438
 
5.9%
Other values (2) 1419
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4833
19.9%
2 3297
13.5%
3 2661
10.9%
4 2190
9.0%
5 1830
 
7.5%
0 1765
 
7.3%
1 1722
 
7.1%
6 1644
 
6.8%
7 1544
 
6.3%
8 1438
 
5.9%
Other values (2) 1419
 
5.8%

지역
Categorical

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
경기
1009 
경남
415 
경북
365 
강원
364 
서울
348 
Other values (12)
2332 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전
2nd row충북
3rd row경기
4th row울산
5th row대구

Common Values

ValueCountFrequency (%)
경기 1009
20.9%
경남 415
8.6%
경북 365
 
7.6%
강원 364
 
7.5%
서울 348
 
7.2%
전남 320
 
6.6%
전북 298
 
6.2%
충남 292
 
6.0%
충북 275
 
5.7%
인천 266
 
5.5%
Other values (7) 881
18.2%

Length

2024-04-21T10:57:50.814293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 1009
20.9%
경남 415
8.6%
경북 365
 
7.6%
강원 364
 
7.5%
서울 348
 
7.2%
전남 320
 
6.6%
전북 298
 
6.2%
충남 292
 
6.0%
충북 275
 
5.7%
인천 266
 
5.5%
Other values (7) 881
18.2%

건축물명
Text

Distinct4474
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
2024-04-21T10:57:51.064781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length14.770329
Min length3

Characters and Unicode

Total characters71385
Distinct characters642
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4118 ?
Unique (%)85.2%

Sample

1st row전민복합문화센터
2nd row세포주 특성분석 지원센터
3rd row(가칭)세교2-5초등학교 신축공사
4th row언양건강돌봄문화센터
5th row(D026)1여단 방포고 간부교육생 숙소 신축공사
ValueCountFrequency (%)
및 364
 
2.8%
신축공사 355
 
2.7%
증축공사 219
 
1.7%
건립공사 190
 
1.5%
건립사업 124
 
0.9%
행정복지센터 110
 
0.8%
설계용역 109
 
0.8%
체육관 106
 
0.8%
급식실 94
 
0.7%
그린스마트 88
 
0.7%
Other values (6260) 11339
86.6%
2024-04-21T10:57:51.511264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8399
 
11.8%
사 2275
 
3.2%
공 1586
 
2.2%
터 1425
 
2.0%
센 1360
 
1.9%
교 1291
 
1.8%
동 1150
 
1.6%
관 1116
 
1.6%
학 1039
 
1.5%
지 1012
 
1.4%
Other values (632) 50732
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57515
80.6%
Space Separator 8399
 
11.8%
Decimal Number 2293
 
3.2%
Uppercase Letter 918
 
1.3%
Close Punctuation 805
 
1.1%
Open Punctuation 797
 
1.1%
Dash Punctuation 346
 
0.5%
Other Punctuation 187
 
0.3%
Lowercase Letter 81
 
0.1%
Connector Punctuation 20
 
< 0.1%
Other values (4) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2275
 
4.0%
공 1586
 
2.8%
터 1425
 
2.5%
센 1360
 
2.4%
교 1291
 
2.2%
동 1150
 
2.0%
관 1116
 
1.9%
학 1039
 
1.8%
지 1012
 
1.8%
축 954
 
1.7%
Other values (562) 44307
77.0%
Uppercase Letter
ValueCountFrequency (%)
B 209
22.8%
C 103
11.2%
L 95
10.3%
A 87
9.5%
O 80
 
8.7%
T 63
 
6.9%
S 52
 
5.7%
D 39
 
4.2%
K 22
 
2.4%
I 21
 
2.3%
Other values (16) 147
16.0%
Lowercase Letter
ValueCountFrequency (%)
e 20
24.7%
o 14
17.3%
r 9
11.1%
t 9
11.1%
a 7
 
8.6%
m 6
 
7.4%
w 4
 
4.9%
n 3
 
3.7%
u 2
 
2.5%
c 2
 
2.5%
Other values (5) 5
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 545
23.8%
1 512
22.3%
0 367
16.0%
3 218
 
9.5%
5 166
 
7.2%
9 110
 
4.8%
6 100
 
4.4%
4 99
 
4.3%
8 88
 
3.8%
7 88
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 98
52.4%
· 43
23.0%
. 14
 
7.5%
/ 14
 
7.5%
& 12
 
6.4%
' 5
 
2.7%
@ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 797
99.0%
] 8
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 789
99.0%
[ 8
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 9
56.2%
~ 7
43.8%
Space Separator
ValueCountFrequency (%)
8399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57514
80.6%
Common 12871
 
18.0%
Latin 999
 
1.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2275
 
4.0%
공 1586
 
2.8%
터 1425
 
2.5%
센 1360
 
2.4%
교 1291
 
2.2%
동 1150
 
2.0%
관 1116
 
1.9%
학 1039
 
1.8%
지 1012
 
1.8%
축 954
 
1.7%
Other values (561) 44306
77.0%
Latin
ValueCountFrequency (%)
B 209
20.9%
C 103
10.3%
L 95
9.5%
A 87
 
8.7%
O 80
 
8.0%
T 63
 
6.3%
S 52
 
5.2%
D 39
 
3.9%
K 22
 
2.2%
I 21
 
2.1%
Other values (31) 228
22.8%
Common
ValueCountFrequency (%)
8399
65.3%
) 797
 
6.2%
( 789
 
6.1%
2 545
 
4.2%
1 512
 
4.0%
0 367
 
2.9%
- 346
 
2.7%
3 218
 
1.7%
5 166
 
1.3%
9 110
 
0.9%
Other values (19) 622
 
4.8%
Han
ValueCountFrequency (%)
型 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57513
80.6%
ASCII 13825
 
19.4%
None 43
 
0.1%
Geometric Shapes 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8399
60.8%
) 797
 
5.8%
( 789
 
5.7%
2 545
 
3.9%
1 512
 
3.7%
0 367
 
2.7%
- 346
 
2.5%
3 218
 
1.6%
B 209
 
1.5%
5 166
 
1.2%
Other values (58) 1477
 
10.7%
Hangul
ValueCountFrequency (%)
사 2275
 
4.0%
공 1586
 
2.8%
터 1425
 
2.5%
센 1360
 
2.4%
교 1291
 
2.2%
동 1150
 
2.0%
관 1116
 
1.9%
학 1039
 
1.8%
지 1012
 
1.8%
축 954
 
1.7%
Other values (560) 44305
77.0%
None
ValueCountFrequency (%)
· 43
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
型 1
100.0%

업체명
Text

Distinct1362
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
2024-04-21T10:57:51.739154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length7.2629837
Min length2

Characters and Unicode

Total characters35102
Distinct characters406
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique615 ?
Unique (%)12.7%

Sample

1st row유성구청
2nd row오송첨단의료산업진흥재단
3rd row경기도화성오산교육지원청
4th row울주군청
5th row국방시설본부
ValueCountFrequency (%)
국방시설본부 348
 
6.5%
한국토지주택공사 84
 
1.6%
주식회사 74
 
1.4%
한국농어촌공사 57
 
1.1%
경상남도교육청 37
 
0.7%
대전광역시 36
 
0.7%
제주특별자치도 31
 
0.6%
한국전력공사 31
 
0.6%
인천광역시교육청 30
 
0.6%
경기도화성오산교육지원청 29
 
0.5%
Other values (1365) 4617
85.9%
2024-04-21T10:57:52.120349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 2775
 
7.9%
시 1959
 
5.6%
원 1230
 
3.5%
교 1113
 
3.2%
지 1014
 
2.9%
국 992
 
2.8%
주 987
 
2.8%
육 987
 
2.8%
부 913
 
2.6%
도 864
 
2.5%
Other values (396) 22268
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33947
96.7%
Space Separator 545
 
1.6%
Open Punctuation 222
 
0.6%
Close Punctuation 222
 
0.6%
Decimal Number 77
 
0.2%
Lowercase Letter 56
 
0.2%
Uppercase Letter 26
 
0.1%
Other Symbol 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 2775
 
8.2%
시 1959
 
5.8%
원 1230
 
3.6%
교 1113
 
3.3%
지 1014
 
3.0%
국 992
 
2.9%
주 987
 
2.9%
육 987
 
2.9%
부 913
 
2.7%
도 864
 
2.5%
Other values (361) 21113
62.2%
Lowercase Letter
ValueCountFrequency (%)
g 14
25.0%
a 7
12.5%
u 7
12.5%
n 7
12.5%
w 7
12.5%
j 7
12.5%
s 2
 
3.6%
o 2
 
3.6%
k 1
 
1.8%
c 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
D 6
23.1%
K 6
23.1%
N 5
19.2%
G 2
 
7.7%
L 2
 
7.7%
B 1
 
3.8%
E 1
 
3.8%
P 1
 
3.8%
F 1
 
3.8%
V 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 22
28.6%
2 17
22.1%
3 14
18.2%
4 7
 
9.1%
8 6
 
7.8%
6 3
 
3.9%
0 3
 
3.9%
9 3
 
3.9%
5 2
 
2.6%
Space Separator
ValueCountFrequency (%)
545
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
; 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33953
96.7%
Common 1067
 
3.0%
Latin 82
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 2775
 
8.2%
시 1959
 
5.8%
원 1230
 
3.6%
교 1113
 
3.3%
지 1014
 
3.0%
국 992
 
2.9%
주 987
 
2.9%
육 987
 
2.9%
부 913
 
2.7%
도 864
 
2.5%
Other values (362) 21119
62.2%
Latin
ValueCountFrequency (%)
g 14
17.1%
a 7
8.5%
u 7
8.5%
n 7
8.5%
w 7
8.5%
j 7
8.5%
D 6
7.3%
K 6
7.3%
N 5
 
6.1%
s 2
 
2.4%
Other values (11) 14
17.1%
Common
ValueCountFrequency (%)
545
51.1%
( 222
20.8%
) 222
20.8%
1 22
 
2.1%
2 17
 
1.6%
3 14
 
1.3%
4 7
 
0.7%
8 6
 
0.6%
6 3
 
0.3%
0 3
 
0.3%
Other values (3) 6
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33947
96.7%
ASCII 1149
 
3.3%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 2775
 
8.2%
시 1959
 
5.8%
원 1230
 
3.6%
교 1113
 
3.3%
지 1014
 
3.0%
국 992
 
2.9%
주 987
 
2.9%
육 987
 
2.9%
부 913
 
2.7%
도 864
 
2.5%
Other values (361) 21113
62.2%
ASCII
ValueCountFrequency (%)
545
47.4%
( 222
19.3%
) 222
19.3%
1 22
 
1.9%
2 17
 
1.5%
3 14
 
1.2%
g 14
 
1.2%
a 7
 
0.6%
u 7
 
0.6%
n 7
 
0.6%
Other values (24) 72
 
6.3%
None
ValueCountFrequency (%)
㈜ 6
100.0%

제로에너지건축물 인증등급(ZEB)
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
5
2924 
4
1140 
3
439 
1
 
177
2
 
153

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row5
3rd row5
4th row5
5th row4

Common Values

ValueCountFrequency (%)
5 2924
60.5%
4 1140
 
23.6%
3 439
 
9.1%
1 177
 
3.7%
2 153
 
3.2%

Length

2024-04-21T10:57:52.248963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:57:52.348582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 2924
60.5%
4 1140
 
23.6%
3 439
 
9.1%
1 177
 
3.7%
2 153
 
3.2%

인증일자
Date

Distinct918
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size37.9 KiB
Minimum2017-06-16 00:00:00
Maximum2023-12-29 00:00:00
2024-04-21T10:57:52.474574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:52.641815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2024-04-21T10:57:52.734027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분건물주용도건물용도지역제로에너지건축물 인증등급(ZEB)
인증구분1.0000.0960.0000.0000.109
건물주용도0.0961.0001.0000.3400.297
건물용도0.0001.0001.0000.1670.036
지역0.0000.3400.1671.0000.175
제로에너지건축물 인증등급(ZEB)0.1090.2970.0360.1751.000
2024-04-21T10:57:52.836858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제로에너지건축물 인증등급(ZEB)인증구분지역건물용도건물주용도
제로에너지건축물 인증등급(ZEB)1.0000.1340.0910.0440.145
인증구분0.1341.0000.0000.0000.082
지역0.0910.0001.0000.1500.102
건물용도0.0440.0000.1501.0000.997
건물주용도0.1450.0820.1020.9971.000
2024-04-21T10:57:52.947726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분건물주용도건물용도지역제로에너지건축물 인증등급(ZEB)
인증구분1.0000.0820.0000.0000.134
건물주용도0.0821.0000.9970.1020.145
건물용도0.0000.9971.0000.1500.044
지역0.0000.1020.1501.0000.091
제로에너지건축물 인증등급(ZEB)0.1340.1450.0440.0911.000

Missing values

2024-04-21T10:57:49.102837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:57:49.272650image/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

인증구분건물주용도건물용도에너지자립률지역건축물명업체명제로에너지건축물 인증등급(ZEB)인증일자
0본인증제1종 근린생활시설주거용 이외45.57대전전민복합문화센터유성구청42023-12-29
1예비인증교육연구시설주거용 이외36.09충북세포주 특성분석 지원센터오송첨단의료산업진흥재단52023-12-29
2예비인증교육연구시설주거용 이외32.80경기(가칭)세교2-5초등학교 신축공사경기도화성오산교육지원청52023-12-29
3예비인증제1종 근린생활시설주거용 이외34.78울산언양건강돌봄문화센터울주군청52023-12-29
4예비인증교정 및 군사 시설주거용 이외44.42대구(D026)1여단 방포고 간부교육생 숙소 신축공사국방시설본부42023-12-29
5본인증공동주택주거용36.56경기화성동탄 로렌하우스(제로에너지 임대리츠2호)(주)제로에너지임대리츠2호위탁관리부동산투자회사52023-12-29
6예비인증공동주택주거용20.00서울서울 방학역 도심 공공주택한국토지주택공사52023-12-29
7본인증교육연구시설주거용 이외33.76부산온샘초등학교부산광역시교육청52023-12-29
8예비인증업무시설주거용 이외60.42전북전주 제1산단 복합문화센터전주시청32023-12-29
9본인증의료시설주거용 이외60.80대전대전보훈병원 재활센터 및 국가지정입원치료동한국보훈복지의료공단32023-12-29
인증구분건물주용도건물용도에너지자립률지역건축물명업체명제로에너지건축물 인증등급(ZEB)인증일자
4823예비인증교육연구시설주거용 이외27.77충남아산 중앙도서관아산시청52017-12-26
4824예비인증교육연구시설주거용 이외47.77충남정산지역기숙형중학교충청남도교육청42017-12-26
4825예비인증업무시설주거용 이외20.43경기한국전력공사 파주지사한국전력공사52017-12-19
4826예비인증수련시설주거용 이외68.65제주환경친화적 에코촌제주시32017-10-16
4827예비인증제2종 근린생활시설주거용 이외22.98서울(주)친환경계획그룹 청연사옥친환경계획그룹청연52017-10-16
4828예비인증단독주택주거용35.48세종패시브하우스 임대주택 B12-1,2BL㈜패시브하우스순환형임대주택위탁관리부동산투자회사52017-07-13
4829예비인증단독주택주거용31.56경기김포한강 패시브하우스 임대주택㈜패시브하우스순환형임대주택위탁관리부동산투자회사52017-07-13
4830예비인증단독주택주거용29.56경기오산세교 패시브하우스 임대주택(524-2 외 58동)㈜패시브하우스순환형임대주택위탁관리부동산투자회사52017-07-13
4831예비인증업무시설주거용 이외52.82세종세종선거관리위원회행정중심복합도시건설청42017-06-16
4832예비인증공동주택주거용22.36인천힐스테이트 레이크 송도송도랜드마크시티52017-06-16