Overview

Dataset statistics

Number of variables11
Number of observations3342
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory290.6 KiB
Average record size in memory89.0 B

Variable types

Categorical7
Text2
DateTime1
Numeric1

Dataset

Description건축물 에너지 효율등급 인증건물리스트 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=MIQ5TW9AUCJS9F1AXCD331088136&infSeq=1

Alerts

신청지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
건물용도 is highly overall correlated with 건물주용도 and 1 other fieldsHigh correlation
건물주용도 is highly overall correlated with 건물용도High correlation
등급 is highly overall correlated with 건물용도High correlation
건물주용도 is highly imbalanced (53.1%)Imbalance

Reproduction

Analysis started2023-12-10 21:41:14.861479
Analysis finished2023-12-10 21:41:15.953740
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
예비인증
2436 
본인증
906 

Length

Max length4
Median length4
Mean length3.7289048
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예비인증 2436
72.9%
본인증 906
 
27.1%

Length

2023-12-11T06:41:16.012609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:16.108926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예비인증 2436
72.9%
본인증 906
 
27.1%

건축물명
Text

Distinct3204
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-11T06:41:16.384928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length33
Mean length14.658288
Min length3

Characters and Unicode

Total characters48988
Distinct characters539
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3067 ?
Unique (%)91.8%

Sample

1st row수원 광교 A-9블럭 공동주택
2nd row경북 영천 망정5지구 아파트
3rd row수원 광교신도시 A2블럭 호반베르디움
4th row경기 평택소사벌 A1블럭 아파트
5th row경기 평택소사벌 A2블럭 아파트
ValueCountFrequency (%)
아파트 398
 
4.4%
공동주택 241
 
2.7%
신축공사 164
 
1.8%
mbc 125
 
1.4%
스타타운 125
 
1.4%
고덕면 103
 
1.1%
원흥1로 76
 
0.8%
장지리 75
 
0.8%
고등동 75
 
0.8%
감일동 64
 
0.7%
Other values (3677) 7569
84.0%
2023-12-11T06:41:17.079002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5680
 
11.6%
1 1917
 
3.9%
2 1443
 
2.9%
- 1211
 
2.5%
0 1172
 
2.4%
동 1111
 
2.3%
주 998
 
2.0%
공 962
 
2.0%
지 912
 
1.9%
B 885
 
1.8%
Other values (529) 32697
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30695
62.7%
Decimal Number 7456
 
15.2%
Space Separator 5680
 
11.6%
Uppercase Letter 2903
 
5.9%
Dash Punctuation 1211
 
2.5%
Close Punctuation 405
 
0.8%
Open Punctuation 391
 
0.8%
Lowercase Letter 143
 
0.3%
Other Punctuation 88
 
0.2%
Connector Punctuation 6
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1111
 
3.6%
주 998
 
3.3%
공 962
 
3.1%
지 912
 
3.0%
파 734
 
2.4%
사 722
 
2.4%
택 689
 
2.2%
트 688
 
2.2%
아 676
 
2.2%
구 587
 
1.9%
Other values (455) 22616
73.7%
Uppercase Letter
ValueCountFrequency (%)
B 885
30.5%
A 624
21.5%
L 594
20.5%
C 266
 
9.2%
M 137
 
4.7%
S 79
 
2.7%
I 49
 
1.7%
T 37
 
1.3%
K 37
 
1.3%
H 32
 
1.1%
Other values (14) 163
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 31
21.7%
a 26
18.2%
b 25
17.5%
c 14
9.8%
t 7
 
4.9%
i 7
 
4.9%
r 4
 
2.8%
s 4
 
2.8%
k 4
 
2.8%
o 4
 
2.8%
Other values (8) 17
11.9%
Decimal Number
ValueCountFrequency (%)
1 1917
25.7%
2 1443
19.4%
0 1172
15.7%
3 702
 
9.4%
7 513
 
6.9%
4 458
 
6.1%
5 450
 
6.0%
6 336
 
4.5%
8 253
 
3.4%
9 212
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 38
43.2%
& 16
18.2%
/ 8
 
9.1%
· 7
 
8.0%
. 7
 
8.0%
' 5
 
5.7%
" 4
 
4.5%
# 2
 
2.3%
? 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 398
98.3%
] 4
 
1.0%
」 3
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 384
98.2%
[ 4
 
1.0%
「 3
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 4
66.7%
~ 2
33.3%
Space Separator
ValueCountFrequency (%)
5680
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1211
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30693
62.7%
Common 15246
31.1%
Latin 3047
 
6.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1111
 
3.6%
주 998
 
3.3%
공 962
 
3.1%
지 912
 
3.0%
파 734
 
2.4%
사 722
 
2.4%
택 689
 
2.2%
트 688
 
2.2%
아 676
 
2.2%
구 587
 
1.9%
Other values (453) 22614
73.7%
Latin
ValueCountFrequency (%)
B 885
29.0%
A 624
20.5%
L 594
19.5%
C 266
 
8.7%
M 137
 
4.5%
S 79
 
2.6%
I 49
 
1.6%
T 37
 
1.2%
K 37
 
1.2%
H 32
 
1.1%
Other values (33) 307
 
10.1%
Common
ValueCountFrequency (%)
5680
37.3%
1 1917
 
12.6%
2 1443
 
9.5%
- 1211
 
7.9%
0 1172
 
7.7%
3 702
 
4.6%
7 513
 
3.4%
4 458
 
3.0%
5 450
 
3.0%
) 398
 
2.6%
Other values (21) 1302
 
8.5%
Han
ValueCountFrequency (%)
家 1
50.0%
愛 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30691
62.7%
ASCII 18279
37.3%
None 13
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5680
31.1%
1 1917
 
10.5%
2 1443
 
7.9%
- 1211
 
6.6%
0 1172
 
6.4%
B 885
 
4.8%
3 702
 
3.8%
A 624
 
3.4%
L 594
 
3.2%
7 513
 
2.8%
Other values (60) 3538
19.4%
Hangul
ValueCountFrequency (%)
동 1111
 
3.6%
주 998
 
3.3%
공 962
 
3.1%
지 912
 
3.0%
파 734
 
2.4%
사 722
 
2.4%
택 689
 
2.2%
트 688
 
2.2%
아 676
 
2.2%
구 587
 
1.9%
Other values (452) 22612
73.7%
None
ValueCountFrequency (%)
· 7
53.8%
」 3
23.1%
「 3
23.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
100.0%
CJK
ValueCountFrequency (%)
家 1
50.0%
愛 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

건물용도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
주거용
2413 
주거용 이외
929 

Length

Max length6
Median length3
Mean length3.8339318
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주거용 2413
72.2%
주거용 이외 929
 
27.8%

Length

2023-12-11T06:41:17.227231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:17.378887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거용 3342
78.2%
이외 929
 
21.8%

건물주용도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct26
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
공동주택
1959 
교육연구 시설
361 
업무 시설
320 
임대주택 (영구, 국민, 공공)
262 
단독주택
 
192
Other values (21)
248 

Length

Max length17
Median length4
Mean length5.6663674
Min length2

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 1959
58.6%
교육연구 시설 361
 
10.8%
업무 시설 320
 
9.6%
임대주택 (영구, 국민, 공공) 262
 
7.8%
단독주택 192
 
5.7%
교정 및 군사 시설 40
 
1.2%
공장 31
 
0.9%
운동 시설 27
 
0.8%
제1종근린생활 시설 25
 
0.7%
노유자 시설 25
 
0.7%
Other values (16) 100
 
3.0%

Length

2023-12-11T06:41:17.493918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 1959
38.0%
시설 891
17.3%
교육연구 361
 
7.0%
업무 320
 
6.2%
임대주택 262
 
5.1%
영구 262
 
5.1%
국민 262
 
5.1%
공공 262
 
5.1%
단독주택 192
 
3.7%
및 66
 
1.3%
Other values (29) 322
 
6.2%

신청지역
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
경기
3342 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 3342
100.0%

Length

2023-12-11T06:41:17.620689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:17.714242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 3342
100.0%

등급
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
1등급
1202 
2등급
871 
1+등급
656 
1++등급
391 
1+++등급
147 
Other values (3)
 
75

Length

Max length6
Median length3
Mean length3.5622382
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2등급
2nd row2등급
3rd row2등급
4th row2등급
5th row2등급

Common Values

ValueCountFrequency (%)
1등급 1202
36.0%
2등급 871
26.1%
1+등급 656
19.6%
1++등급 391
 
11.7%
1+++등급 147
 
4.4%
3등급 69
 
2.1%
4등급 5
 
0.1%
5등급 1
 
< 0.1%

Length

2023-12-11T06:41:17.864533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:17.993008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 1202
36.0%
2등급 871
26.1%
1+등급 656
19.6%
1++등급 391
 
11.7%
1+++등급 147
 
4.4%
3등급 69
 
2.1%
4등급 5
 
0.1%
5등급 1
 
< 0.1%

업체명
Text

Distinct1024
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2023-12-11T06:41:18.275101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length8.032316
Min length2

Characters and Unicode

Total characters26844
Distinct characters407
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

Unique714 ?
Unique (%)21.4%

Sample

1st row(주)코람코자산신탁
2nd row대한주택공사
3rd row(주)호반토건
4th row한국토지주택공사 경기지역본부
5th row한국토지주택공사 경기지역본부
ValueCountFrequency (%)
한국토지주택공사 868
23.2%
현택수 125
 
3.3%
경기도시공사 125
 
3.3%
장준명 122
 
3.3%
한기용 111
 
3.0%
주식회사 110
 
2.9%
경기지역본부 75
 
2.0%
김유진 74
 
2.0%
대한주택공사 57
 
1.5%
서울지역본부 44
 
1.2%
Other values (1032) 2024
54.2%
2023-12-11T06:41:18.671998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1951
 
7.3%
사 1604
 
6.0%
지 1326
 
4.9%
공 1278
 
4.8%
택 1242
 
4.6%
한 1157
 
4.3%
국 977
 
3.6%
토 903
 
3.4%
) 561
 
2.1%
( 560
 
2.1%
Other values (397) 15285
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24900
92.8%
Close Punctuation 561
 
2.1%
Open Punctuation 560
 
2.1%
Space Separator 393
 
1.5%
Decimal Number 234
 
0.9%
Uppercase Letter 103
 
0.4%
Other Symbol 68
 
0.3%
Dash Punctuation 9
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1951
 
7.8%
사 1604
 
6.4%
지 1326
 
5.3%
공 1278
 
5.1%
택 1242
 
5.0%
한 1157
 
4.6%
국 977
 
3.9%
토 903
 
3.6%
기 486
 
2.0%
시 476
 
1.9%
Other values (358) 13500
54.2%
Uppercase Letter
ValueCountFrequency (%)
H 29
28.2%
N 27
26.2%
F 26
25.2%
R 7
 
6.8%
K 3
 
2.9%
L 3
 
2.9%
B 2
 
1.9%
S 2
 
1.9%
D 1
 
1.0%
A 1
 
1.0%
Other values (2) 2
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 97
41.5%
2 39
16.7%
3 21
 
9.0%
4 16
 
6.8%
5 15
 
6.4%
0 12
 
5.1%
6 12
 
5.1%
8 10
 
4.3%
9 7
 
3.0%
7 5
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
12.5%
d 1
12.5%
m 1
12.5%
n 1
12.5%
y 1
12.5%
h 1
12.5%
r 1
12.5%
k 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 3
37.5%
. 3
37.5%
? 1
 
12.5%
! 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 560
100.0%
Space Separator
ValueCountFrequency (%)
393
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24968
93.0%
Common 1765
 
6.6%
Latin 111
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1951
 
7.8%
사 1604
 
6.4%
지 1326
 
5.3%
공 1278
 
5.1%
택 1242
 
5.0%
한 1157
 
4.6%
국 977
 
3.9%
토 903
 
3.6%
기 486
 
1.9%
시 476
 
1.9%
Other values (359) 13568
54.3%
Latin
ValueCountFrequency (%)
H 29
26.1%
N 27
24.3%
F 26
23.4%
R 7
 
6.3%
K 3
 
2.7%
L 3
 
2.7%
B 2
 
1.8%
S 2
 
1.8%
b 1
 
0.9%
d 1
 
0.9%
Other values (10) 10
 
9.0%
Common
ValueCountFrequency (%)
) 561
31.8%
( 560
31.7%
393
22.3%
1 97
 
5.5%
2 39
 
2.2%
3 21
 
1.2%
4 16
 
0.9%
5 15
 
0.8%
0 12
 
0.7%
6 12
 
0.7%
Other values (8) 39
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24900
92.8%
ASCII 1876
 
7.0%
None 68
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1951
 
7.8%
사 1604
 
6.4%
지 1326
 
5.3%
공 1278
 
5.1%
택 1242
 
5.0%
한 1157
 
4.6%
국 977
 
3.9%
토 903
 
3.6%
기 486
 
2.0%
시 476
 
1.9%
Other values (358) 13500
54.2%
ASCII
ValueCountFrequency (%)
) 561
29.9%
( 560
29.9%
393
20.9%
1 97
 
5.2%
2 39
 
2.1%
H 29
 
1.5%
N 27
 
1.4%
F 26
 
1.4%
3 21
 
1.1%
4 16
 
0.9%
Other values (28) 107
 
5.7%
None
ValueCountFrequency (%)
㈜ 68
100.0%

인증서 발행일
Date

Distinct1208
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
Minimum2003-12-18 00:00:00
Maximum2019-12-31 00:00:00
2023-12-11T06:41:18.821219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:41:18.950690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증년도
Real number (ℝ)

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.2879
Minimum2003
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2023-12-11T06:41:19.063569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2010
Q12015
median2017
Q32018
95-th percentile2019
Maximum2019
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8715433
Coefficient of variation (CV)0.0014241733
Kurtosis1.3590941
Mean2016.2879
Median Absolute Deviation (MAD)2
Skewness-1.3614776
Sum6738434
Variance8.2457608
MonotonicityNot monotonic
2023-12-11T06:41:19.183501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2018 894
26.8%
2019 715
21.4%
2017 457
13.7%
2015 302
 
9.0%
2016 255
 
7.6%
2014 189
 
5.7%
2013 142
 
4.2%
2011 95
 
2.8%
2012 87
 
2.6%
2009 80
 
2.4%
Other values (7) 126
 
3.8%
ValueCountFrequency (%)
2003 1
 
< 0.1%
2004 1
 
< 0.1%
2005 5
 
0.1%
2006 5
 
0.1%
2007 21
 
0.6%
2008 31
 
0.9%
2009 80
2.4%
2010 62
1.9%
2011 95
2.8%
2012 87
2.6%
ValueCountFrequency (%)
2019 715
21.4%
2018 894
26.8%
2017 457
13.7%
2016 255
 
7.6%
2015 302
 
9.0%
2014 189
 
5.7%
2013 142
 
4.2%
2012 87
 
2.6%
2011 95
 
2.8%
2010 62
 
1.9%

인증기관명
Categorical

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
한국건물에너지기술원
937 
한국생산성본부인증원
915 
한국감정원
414 
한국시설안전공단
306 
한국건설기술연구원
286 
Other values (4)
484 

Length

Max length11
Median length10
Mean length9.0942549
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국건설기술연구원
2nd row한국에너지기술연구원
3rd row한국에너지기술연구원
4th row한국건설기술연구원
5th row한국건설기술연구원

Common Values

ValueCountFrequency (%)
한국건물에너지기술원 937
28.0%
한국생산성본부인증원 915
27.4%
한국감정원 414
12.4%
한국시설안전공단 306
 
9.2%
한국건설기술연구원 286
 
8.6%
한국에너지기술연구원 207
 
6.2%
한국환경건축연구원 147
 
4.4%
한국교육녹색환경연구원 116
 
3.5%
한국토지주택공사 14
 
0.4%

Length

2023-12-11T06:41:19.298506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:19.407849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국건물에너지기술원 937
28.0%
한국생산성본부인증원 915
27.4%
한국감정원 414
12.4%
한국시설안전공단 306
 
9.2%
한국건설기술연구원 286
 
8.6%
한국에너지기술연구원 207
 
6.2%
한국환경건축연구원 147
 
4.4%
한국교육녹색환경연구원 116
 
3.5%
한국토지주택공사 14
 
0.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.2 KiB
2021-02-19
3342 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-19
2nd row2021-02-19
3rd row2021-02-19
4th row2021-02-19
5th row2021-02-19

Common Values

ValueCountFrequency (%)
2021-02-19 3342
100.0%

Length

2023-12-11T06:41:19.529636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:41:19.618922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-19 3342
100.0%

Interactions

2023-12-11T06:41:15.613218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:41:19.675055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분건물용도건물주용도등급인증년도인증기관명
인증구분1.0000.1970.2460.1870.1840.196
건물용도0.1971.0001.0000.8340.2070.310
건물주용도0.2461.0001.0000.7490.4580.533
등급0.1870.8340.7491.0000.4610.508
인증년도0.1840.2070.4580.4611.0000.707
인증기관명0.1960.3100.5330.5080.7071.000
2023-12-11T06:41:19.772566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물용도인증구분인증기관명건물주용도등급
건물용도1.0000.1260.3090.9960.653
인증구분0.1261.0000.1960.1950.140
인증기관명0.3090.1961.0000.2310.278
건물주용도0.9960.1950.2311.0000.415
등급0.6530.1400.2780.4151.000
2023-12-11T06:41:19.866936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증년도인증구분건물용도건물주용도등급인증기관명
인증년도1.0000.1420.1590.1840.2400.420
인증구분0.1421.0000.1260.1950.1400.196
건물용도0.1590.1261.0000.9960.6530.309
건물주용도0.1840.1950.9961.0000.4150.231
등급0.2400.1400.6530.4151.0000.278
인증기관명0.4200.1960.3090.2310.2781.000

Missing values

2023-12-11T06:41:15.740498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:41:15.888721image/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

인증구분건축물명건물용도건물주용도신청지역등급업체명인증서 발행일인증년도인증기관명데이터기준일자
0예비인증수원 광교 A-9블럭 공동주택주거용공동주택경기2등급(주)코람코자산신탁2009-11-022009한국건설기술연구원2021-02-19
1예비인증경북 영천 망정5지구 아파트주거용공동주택경기2등급대한주택공사2009-11-022009한국에너지기술연구원2021-02-19
2예비인증수원 광교신도시 A2블럭 호반베르디움주거용공동주택경기2등급(주)호반토건2009-11-102009한국에너지기술연구원2021-02-19
3예비인증경기 평택소사벌 A1블럭 아파트주거용공동주택경기2등급한국토지주택공사 경기지역본부2009-11-122009한국건설기술연구원2021-02-19
4예비인증경기 평택소사벌 A2블럭 아파트주거용공동주택경기2등급한국토지주택공사 경기지역본부2009-11-122009한국건설기술연구원2021-02-19
5예비인증경기 의왕 포일2지구 B2블럭 아파트주거용공동주택경기1등급한국토지주택공사 경기지역본부2009-11-122009한국건설기술연구원2021-02-19
6본인증원일플로라 아파트주거용공동주택경기3등급원일종합건설(주)2010-03-222010한국에너지기술연구원2021-02-19
7본인증남양주 진접지구 금강펜테리움 아파트주거용공동주택경기2등급(주)금강주택2010-03-232010한국건설기술연구원2021-02-19
8본인증남양주 진접 13블럭 신안 인스빌주거용공동주택경기2등급(주)신안2010-04-072010한국건설기술연구원2021-02-19
9본인증남양주 진접 2블럭 신안 인스빌주거용공동주택경기2등급(주)신안2010-04-072010한국건설기술연구원2021-02-19
인증구분건축물명건물용도건물주용도신청지역등급업체명인증서 발행일인증년도인증기관명데이터기준일자
3332예비인증원흥1로 1201-104주거용공동주택경기1+등급한국토지주택공사2019-08-282019한국생산성본부인증원2021-02-19
3333예비인증안성아양 B-1BL 공동주택주거용공동주택경기1+등급한국토지주택공사2019-08-292019한국감정원2021-02-19
3334본인증경기남부지방경찰청 민원동주거용 이외업무 시설경기1+등급경기남부지방경찰청2019-08-292019한국건물에너지기술원2021-02-19
3335예비인증상대원동 223-27 지식산업센터주거용 이외공장경기1++등급이엔아이 주식회사2019-08-302019한국건물에너지기술원2021-02-19
3336예비인증화성동탄2지구 A-87BL 기업형 임대리츠(New Stay)주거용공동주택경기1등급계룡건설산업(주)2019-08-302019한국감정원2021-02-19
3337예비인증(가칭)장현2중학교주거용 이외교육연구 시설경기1++등급경기도시흥교육지원청2019-08-302019한국생산성본부인증원2021-02-19
3338본인증태평4동 종합복지시설주거용 이외노유자 시설경기1++등급성남시청2019-09-022019한국건물에너지기술원2021-02-19
3339본인증경기도 의료원 이천병원 증축 임대형민간투자사업(BTL)주거용 이외의료 시설경기1등급이천메디컬센터2019-09-022019한국감정원2021-02-19
3340예비인증가칭)동탄1초주거용 이외교육연구 시설경기1++등급경기도화성오산교육지원청2019-09-062019한국교육녹색환경연구원2021-02-19
3341예비인증가칭)새터중학교주거용 이외교육연구 시설경기1++등급경기도파주교육지원청2019-09-062019한국교육녹색환경연구원2021-02-19