Overview

Dataset statistics

Number of variables10
Number of observations479
Missing cells58
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.0 KiB
Average record size in memory83.3 B

Variable types

Numeric3
Categorical4
Text3

Dataset

Description충청남도 아산시 관내 석면조사 대상 건축물현황으로 건축물 용도, 대상건축물 주소, 대상면적, 안전관리인 지정여부 등의 자료가 포함됩니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/3073034/fileData.do

Alerts

안전관리인지정여부 is highly overall correlated with 석면(자재)면적 and 2 other fieldsHigh correlation
석면건축물여부 is highly overall correlated with 석면(자재)면적 and 2 other fieldsHigh correlation
구분 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
제외현황 is highly overall correlated with 번호 and 5 other fieldsHigh correlation
번호 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
연면적 is highly overall correlated with 제외현황High correlation
석면(자재)면적 is highly overall correlated with 석면건축물여부 and 2 other fieldsHigh correlation
제외현황 is highly imbalanced (61.5%)Imbalance
동명 has 58 (12.1%) missing valuesMissing
번호 has unique valuesUnique
석면(자재)면적 has 317 (66.2%) zerosZeros

Reproduction

Analysis started2024-05-11 07:48:32.591391
Analysis finished2024-05-11 07:48:37.196298
Duration4.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct479
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240
Minimum1
Maximum479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T16:48:37.370520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.9
Q1120.5
median240
Q3359.5
95-th percentile455.1
Maximum479
Range478
Interquartile range (IQR)239

Descriptive statistics

Standard deviation138.41965
Coefficient of variation (CV)0.57674855
Kurtosis-1.2
Mean240
Median Absolute Deviation (MAD)120
Skewness0
Sum114960
Variance19160
MonotonicityStrictly increasing
2024-05-11T16:48:37.706124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
2 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
Other values (469) 469
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
479 1
0.2%
478 1
0.2%
477 1
0.2%
476 1
0.2%
475 1
0.2%
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
어린이집
196 
공공건축물
119 
대학교
102 
불특정다수이용
53 
기타
 
9

Length

Max length7
Median length5
Mean length4.3298539
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공건축물
2nd row대학교
3rd row공공건축물
4th row공공건축물
5th row공공건축물

Common Values

ValueCountFrequency (%)
어린이집 196
40.9%
공공건축물 119
24.8%
대학교 102
21.3%
불특정다수이용 53
 
11.1%
기타 9
 
1.9%

Length

2024-05-11T16:48:38.015476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:48:38.312397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 196
40.9%
공공건축물 119
24.8%
대학교 102
21.3%
불특정다수이용 53
 
11.1%
기타 9
 
1.9%

건축물명(상호)
Text

Distinct387
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:48:38.983437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length9.605428
Min length4

Characters and Unicode

Total characters4601
Distinct characters355
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)74.9%

Sample

1st row경찰교육원(본관/도서관)
2nd row한국폴리텍 아산캠퍼스
3rd row국립종자원
4th row국립농산물품질관리원
5th row한국전력 아산지사
ValueCountFrequency (%)
금호리조트(주)아산스파비스 19
 
3.4%
충무교육원 12
 
2.2%
본관 11
 
2.0%
한국폴리텍 8
 
1.4%
아산캠퍼스 8
 
1.4%
가축위생연구소 7
 
1.3%
아산지소 7
 
1.3%
아산정수장 6
 
1.1%
lh아산에너지사업단 6
 
1.1%
아산경찰서 6
 
1.1%
Other values (408) 465
83.8%
2024-05-11T16:48:39.927132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 230
 
5.0%
어 206
 
4.5%
린 200
 
4.3%
집 195
 
4.2%
) 149
 
3.2%
( 149
 
3.2%
아 147
 
3.2%
학 141
 
3.1%
산 131
 
2.8%
교 118
 
2.6%
Other values (345) 2935
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4153
90.3%
Close Punctuation 149
 
3.2%
Open Punctuation 149
 
3.2%
Space Separator 84
 
1.8%
Uppercase Letter 37
 
0.8%
Decimal Number 17
 
0.4%
Other Punctuation 7
 
0.2%
Connector Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 230
 
5.5%
어 206
 
5.0%
린 200
 
4.8%
집 195
 
4.7%
아 147
 
3.5%
학 141
 
3.4%
산 131
 
3.2%
교 118
 
2.8%
대 112
 
2.7%
관 86
 
2.1%
Other values (318) 2587
62.3%
Uppercase Letter
ValueCountFrequency (%)
H 8
21.6%
L 8
21.6%
B 4
10.8%
A 4
10.8%
C 3
 
8.1%
D 2
 
5.4%
I 1
 
2.7%
W 1
 
2.7%
S 1
 
2.7%
N 1
 
2.7%
Other values (4) 4
10.8%
Decimal Number
ValueCountFrequency (%)
1 10
58.8%
2 6
35.3%
3 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 3
42.9%
, 3
42.9%
. 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4154
90.3%
Common 409
 
8.9%
Latin 38
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 230
 
5.5%
어 206
 
5.0%
린 200
 
4.8%
집 195
 
4.7%
아 147
 
3.5%
학 141
 
3.4%
산 131
 
3.2%
교 118
 
2.8%
대 112
 
2.7%
관 86
 
2.1%
Other values (319) 2588
62.3%
Latin
ValueCountFrequency (%)
H 8
21.1%
L 8
21.1%
B 4
10.5%
A 4
10.5%
C 3
 
7.9%
D 2
 
5.3%
i 1
 
2.6%
I 1
 
2.6%
W 1
 
2.6%
S 1
 
2.6%
Other values (5) 5
13.2%
Common
ValueCountFrequency (%)
) 149
36.4%
( 149
36.4%
84
20.5%
1 10
 
2.4%
2 6
 
1.5%
/ 3
 
0.7%
, 3
 
0.7%
_ 2
 
0.5%
- 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4153
90.3%
ASCII 447
 
9.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 230
 
5.5%
어 206
 
5.0%
린 200
 
4.8%
집 195
 
4.7%
아 147
 
3.5%
학 141
 
3.4%
산 131
 
3.2%
교 118
 
2.8%
대 112
 
2.7%
관 86
 
2.1%
Other values (318) 2587
62.3%
ASCII
ValueCountFrequency (%)
) 149
33.3%
( 149
33.3%
84
18.8%
1 10
 
2.2%
H 8
 
1.8%
L 8
 
1.8%
2 6
 
1.3%
B 4
 
0.9%
A 4
 
0.9%
/ 3
 
0.7%
Other values (16) 22
 
4.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

동명
Text

MISSING 

Distinct382
Distinct (%)90.7%
Missing58
Missing (%)12.1%
Memory size3.9 KiB
2024-05-11T16:48:40.512569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.0950119
Min length2

Characters and Unicode

Total characters2566
Distinct characters351
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)83.8%

Sample

1st row본관동
2nd row다동
3rd row본관
4th row온천동 우체국
5th row아산교육지원청
ValueCountFrequency (%)
본관 8
 
1.8%
창고 6
 
1.3%
경비실 4
 
0.9%
체육관 3
 
0.7%
학생회관 3
 
0.7%
사무동 3
 
0.7%
2동 3
 
0.7%
인주농협 3
 
0.7%
관리동 2
 
0.4%
동심어린이집 2
 
0.4%
Other values (380) 411
91.7%
2024-05-11T16:48:41.712755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 219
 
8.5%
어 197
 
7.7%
린 195
 
7.6%
집 191
 
7.4%
관 74
 
2.9%
동 59
 
2.3%
아 48
 
1.9%
사 42
 
1.6%
학 36
 
1.4%
35
 
1.4%
Other values (341) 1470
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2423
94.4%
Decimal Number 52
 
2.0%
Space Separator 35
 
1.4%
Uppercase Letter 24
 
0.9%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Dash Punctuation 6
 
0.2%
Other Punctuation 4
 
0.2%
Connector Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 219
 
9.0%
어 197
 
8.1%
린 195
 
8.0%
집 191
 
7.9%
관 74
 
3.1%
동 59
 
2.4%
아 48
 
2.0%
사 42
 
1.7%
학 36
 
1.5%
산 31
 
1.3%
Other values (309) 1331
54.9%
Uppercase Letter
ValueCountFrequency (%)
C 4
16.7%
A 3
12.5%
D 3
12.5%
H 2
8.3%
B 2
8.3%
G 2
8.3%
E 2
8.3%
F 1
 
4.2%
N 1
 
4.2%
S 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
1 21
40.4%
2 13
25.0%
3 5
 
9.6%
7 2
 
3.8%
8 2
 
3.8%
6 2
 
3.8%
4 2
 
3.8%
9 2
 
3.8%
5 2
 
3.8%
0 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
/ 2
50.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2424
94.5%
Common 117
 
4.6%
Latin 25
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 219
 
9.0%
어 197
 
8.1%
린 195
 
8.0%
집 191
 
7.9%
관 74
 
3.1%
동 59
 
2.4%
아 48
 
2.0%
사 42
 
1.7%
학 36
 
1.5%
산 31
 
1.3%
Other values (310) 1332
55.0%
Common
ValueCountFrequency (%)
35
29.9%
1 21
17.9%
2 13
 
11.1%
) 9
 
7.7%
( 9
 
7.7%
- 6
 
5.1%
3 5
 
4.3%
7 2
 
1.7%
8 2
 
1.7%
6 2
 
1.7%
Other values (7) 13
 
11.1%
Latin
ValueCountFrequency (%)
C 4
16.0%
A 3
12.0%
D 3
12.0%
H 2
8.0%
B 2
8.0%
G 2
8.0%
E 2
8.0%
i 1
 
4.0%
F 1
 
4.0%
N 1
 
4.0%
Other values (4) 4
16.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2423
94.4%
ASCII 142
 
5.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 219
 
9.0%
어 197
 
8.1%
린 195
 
8.0%
집 191
 
7.9%
관 74
 
3.1%
동 59
 
2.4%
아 48
 
2.0%
사 42
 
1.7%
학 36
 
1.5%
산 31
 
1.3%
Other values (309) 1331
54.9%
ASCII
ValueCountFrequency (%)
35
24.6%
1 21
14.8%
2 13
 
9.2%
) 9
 
6.3%
( 9
 
6.3%
- 6
 
4.2%
3 5
 
3.5%
C 4
 
2.8%
A 3
 
2.1%
D 3
 
2.1%
Other values (21) 34
23.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct299
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-05-11T16:48:42.274356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length30.624217
Min length18

Characters and Unicode

Total characters14669
Distinct characters257
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique265 ?
Unique (%)55.3%

Sample

1st row충청남도 아산시 무궁화로 111 (초사동)(초사동)
2nd row충청남도 아산시 신창면 행목로 45
3rd row충청남도 아산시 선장면 아산만로 416-15
4th row충청남도 아산시 염치읍 염성길 70-26
5th row충청남도 아산시 충무로72번길 13 (권곡동)
ValueCountFrequency (%)
충청남도 479
 
16.9%
아산시 479
 
16.9%
배방읍 101
 
3.6%
신창면 65
 
2.3%
20 39
 
1.4%
호서로79번길 37
 
1.3%
탕정면 37
 
1.3%
온천대로 37
 
1.3%
22 33
 
1.2%
순천향로 32
 
1.1%
Other values (513) 1490
52.7%
2024-05-11T16:48:43.171623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2388
 
16.3%
아 727
 
5.0%
산 600
 
4.1%
1 558
 
3.8%
충 524
 
3.6%
남 521
 
3.6%
시 512
 
3.5%
도 506
 
3.4%
청 486
 
3.3%
0 437
 
3.0%
Other values (247) 7410
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8783
59.9%
Decimal Number 2516
 
17.2%
Space Separator 2388
 
16.3%
Open Punctuation 299
 
2.0%
Close Punctuation 299
 
2.0%
Other Punctuation 182
 
1.2%
Dash Punctuation 179
 
1.2%
Lowercase Letter 11
 
0.1%
Uppercase Letter 8
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 727
 
8.3%
산 600
 
6.8%
충 524
 
6.0%
남 521
 
5.9%
시 512
 
5.8%
도 506
 
5.8%
청 486
 
5.5%
로 423
 
4.8%
동 251
 
2.9%
길 201
 
2.3%
Other values (215) 4032
45.9%
Decimal Number
ValueCountFrequency (%)
1 558
22.2%
0 437
17.4%
2 365
14.5%
7 222
 
8.8%
3 205
 
8.1%
5 181
 
7.2%
4 169
 
6.7%
6 143
 
5.7%
8 119
 
4.7%
9 117
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
t 2
18.2%
c 2
18.2%
l 2
18.2%
a 1
9.1%
u 1
9.1%
n 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
S 1
12.5%
T 1
12.5%
X 1
12.5%
K 1
12.5%
N 1
12.5%
L 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 181
99.5%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8783
59.9%
Common 5865
40.0%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 727
 
8.3%
산 600
 
6.8%
충 524
 
6.0%
남 521
 
5.9%
시 512
 
5.8%
도 506
 
5.8%
청 486
 
5.5%
로 423
 
4.8%
동 251
 
2.9%
길 201
 
2.3%
Other values (215) 4032
45.9%
Common
ValueCountFrequency (%)
2388
40.7%
1 558
 
9.5%
0 437
 
7.5%
2 365
 
6.2%
( 299
 
5.1%
) 299
 
5.1%
7 222
 
3.8%
3 205
 
3.5%
5 181
 
3.1%
, 181
 
3.1%
Other values (7) 730
 
12.4%
Latin
ValueCountFrequency (%)
e 2
 
9.5%
t 2
 
9.5%
c 2
 
9.5%
l 2
 
9.5%
A 2
 
9.5%
Ⅳ 2
 
9.5%
S 1
 
4.8%
T 1
 
4.8%
X 1
 
4.8%
K 1
 
4.8%
Other values (5) 5
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8783
59.9%
ASCII 5884
40.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2388
40.6%
1 558
 
9.5%
0 437
 
7.4%
2 365
 
6.2%
( 299
 
5.1%
) 299
 
5.1%
7 222
 
3.8%
3 205
 
3.5%
5 181
 
3.1%
, 181
 
3.1%
Other values (21) 749
 
12.7%
Hangul
ValueCountFrequency (%)
아 727
 
8.3%
산 600
 
6.8%
충 524
 
6.0%
남 521
 
5.9%
시 512
 
5.8%
도 506
 
5.8%
청 486
 
5.5%
로 423
 
4.8%
동 251
 
2.9%
길 201
 
2.3%
Other values (215) 4032
45.9%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
100.0%

석면건축물여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
해당없음
374 
해당
105 

Length

Max length4
Median length4
Mean length3.5615866
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당

Common Values

ValueCountFrequency (%)
해당없음 374
78.1%
해당 105
 
21.9%

Length

2024-05-11T16:48:43.492572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:48:44.399043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 374
78.1%
해당 105
 
21.9%

안전관리인지정여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
미지정
374 
지정
105 

Length

Max length3
Median length3
Mean length2.7807933
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미지정
2nd row미지정
3rd row미지정
4th row미지정
5th row지정

Common Values

ValueCountFrequency (%)
미지정 374
78.1%
지정 105
 
21.9%

Length

2024-05-11T16:48:44.795339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:48:45.005600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미지정 374
78.1%
지정 105
 
21.9%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct337
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3901.1432
Minimum0
Maximum54447
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T16:48:45.246055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.52
Q1119.47
median999
Q34172.5
95-th percentile19378.09
Maximum54447
Range54447
Interquartile range (IQR)4053.03

Descriptive statistics

Standard deviation6336.8975
Coefficient of variation (CV)1.6243694
Kurtosis10.607807
Mean3901.1432
Median Absolute Deviation (MAD)914.22
Skewness2.662102
Sum1868647.6
Variance40156270
MonotonicityNot monotonic
2024-05-11T16:48:45.585345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19378.09 19
 
4.0%
84.99 12
 
2.5%
3957.74 11
 
2.3%
59.52 10
 
2.1%
84.94 10
 
2.1%
84.96 7
 
1.5%
986.62 7
 
1.5%
13528.19 6
 
1.3%
16333.73 6
 
1.3%
85.0 6
 
1.3%
Other values (327) 385
80.4%
ValueCountFrequency (%)
0.0 1
 
0.2%
1.0 3
0.6%
26.0 1
 
0.2%
39.15 2
0.4%
39.58 1
 
0.2%
44.68 1
 
0.2%
49.5 1
 
0.2%
49.8 1
 
0.2%
49.92 3
0.6%
51.16 1
 
0.2%
ValueCountFrequency (%)
54447.0 1
 
0.2%
36047.0 1
 
0.2%
30521.0 1
 
0.2%
23861.0 1
 
0.2%
20243.0 5
 
1.0%
19378.09 19
4.0%
19067.0 1
 
0.2%
18622.71 1
 
0.2%
18031.0 1
 
0.2%
17987.98 1
 
0.2%

석면(자재)면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct155
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384.7437
Minimum0
Maximum9786.28
Zeros317
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-05-11T16:48:45.966857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315.785
95-th percentile2206.343
Maximum9786.28
Range9786.28
Interquartile range (IQR)15.785

Descriptive statistics

Standard deviation1335.7012
Coefficient of variation (CV)3.471665
Kurtosis25.907242
Mean384.7437
Median Absolute Deviation (MAD)0
Skewness4.9092824
Sum184292.23
Variance1784097.7
MonotonicityNot monotonic
2024-05-11T16:48:46.359950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 317
66.2%
2.6 3
 
0.6%
2.61 2
 
0.4%
3.3 2
 
0.4%
3.59 2
 
0.4%
0.77 2
 
0.4%
5.25 2
 
0.4%
3.04 2
 
0.4%
180.6 1
 
0.2%
893.52 1
 
0.2%
Other values (145) 145
30.3%
ValueCountFrequency (%)
0.0 317
66.2%
0.04 1
 
0.2%
0.1 1
 
0.2%
0.15 1
 
0.2%
0.34 1
 
0.2%
0.53 1
 
0.2%
0.77 2
 
0.4%
1.0 1
 
0.2%
1.74 1
 
0.2%
1.89 1
 
0.2%
ValueCountFrequency (%)
9786.28 1
0.2%
9381.0 1
0.2%
9339.14 1
0.2%
8991.23 1
0.2%
8622.35 1
0.2%
8127.0 1
0.2%
7142.34 1
0.2%
6984.72 1
0.2%
6744.0 1
0.2%
5520.96 1
0.2%

제외현황
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
<NA>
443 
전체해체ㆍ제거
 
36

Length

Max length7
Median length4
Mean length4.2254697
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row전체해체ㆍ제거
3rd row전체해체ㆍ제거
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 443
92.5%
전체해체ㆍ제거 36
 
7.5%

Length

2024-05-11T16:48:46.603212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:48:46.856833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 443
92.5%
전체해체ㆍ제거 36
 
7.5%

Interactions

2024-05-11T16:48:35.751904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:34.474962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:35.118419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:35.969495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:34.699646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:35.332442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:36.226352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:34.911950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:48:35.541109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T16:48:46.983241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분석면건축물여부안전관리인지정여부연면적석면(자재)면적
번호1.0000.9060.6250.6250.4710.353
구분0.9061.0000.3890.3890.4510.431
석면건축물여부0.6250.3891.0001.0000.2660.760
안전관리인지정여부0.6250.3891.0001.0000.2660.760
연면적0.4710.4510.2660.2661.0000.330
석면(자재)면적0.3530.4310.7600.7600.3301.000
2024-05-11T16:48:47.235759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전관리인지정여부석면건축물여부구분제외현황
안전관리인지정여부1.0000.9940.4731.000
석면건축물여부0.9941.0000.4731.000
구분0.4730.4731.0001.000
제외현황1.0001.0001.0001.000
2024-05-11T16:48:47.456589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연면적석면(자재)면적구분석면건축물여부안전관리인지정여부제외현황
번호1.000-0.194-0.3210.5960.4800.4801.000
연면적-0.1941.0000.2900.2960.1990.1991.000
석면(자재)면적-0.3210.2901.0000.1920.5930.5931.000
구분0.5960.2960.1921.0000.4730.4731.000
석면건축물여부0.4800.1990.5930.4731.0000.9941.000
안전관리인지정여부0.4800.1990.5930.4730.9941.0001.000
제외현황1.0001.0001.0001.0001.0001.0001.000

Missing values

2024-05-11T16:48:36.678694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T16:48:37.072056image/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

번호구분건축물명(상호)동명주소석면건축물여부안전관리인지정여부연면적석면(자재)면적제외현황
01공공건축물경찰교육원(본관/도서관)<NA>충청남도 아산시 무궁화로 111 (초사동)(초사동)해당없음미지정18031.00.0<NA>
12대학교한국폴리텍 아산캠퍼스본관동충청남도 아산시 신창면 행목로 45해당없음미지정2465.00.0전체해체ㆍ제거
23공공건축물국립종자원다동충청남도 아산시 선장면 아산만로 416-15해당없음미지정876.00.0전체해체ㆍ제거
34공공건축물국립농산물품질관리원<NA>충청남도 아산시 염치읍 염성길 70-26해당없음미지정707.00.0<NA>
45공공건축물한국전력 아산지사본관충청남도 아산시 충무로72번길 13 (권곡동)해당지정3941.0307.0<NA>
56공공건축물아산 우체국<NA>충청남도 아산시 시민로 455 (온천동)(온천동)해당없음미지정5553.00.0<NA>
67공공건축물영인 우체국<NA>충청남도 아산시 영인면 아산리길 3해당없음미지정642.00.0전체해체ㆍ제거
78공공건축물아산온천동 우체국온천동 우체국충청남도 아산시 온궁로 17 (온천동)해당지정1600.0135.4<NA>
89공공건축물아산교육지원청아산교육지원청충청남도 아산시 문화로 53 (실옥동)해당없음미지정4237.00.0전체해체ㆍ제거
910공공건축물아산도서관<NA>충청남도 아산시 문화로 53 (실옥동)해당없음미지정1438.00.0전체해체ㆍ제거
번호구분건축물명(상호)동명주소석면건축물여부안전관리인지정여부연면적석면(자재)면적제외현황
469470어린이집꼬꼬마어린이집꼬꼬마어린이집충청남도 아산시 문화로 257-24, 207동 104호 (권곡동, 서해그랑블2차아파트)해당없음미지정85.00.0<NA>
470471어린이집주영어린이집주영어린이집충청남도 아산시 모종로 22, 201동 102호 (모종동, 모종2차한성필하우스)해당없음미지정78.680.0<NA>
471472어린이집친오애어린이집친오애어린이집충청남도 아산시 신창면 행목로 217, 106동 102호 (아산친오애아파트)해당없음미지정84.970.0<NA>
472473어린이집아기사랑어린이집아기사랑어린이집충청남도 아산시 신창면 온천대로842번길 6, 아기사랑어린이집해당없음미지정296.850.0<NA>
473474어린이집아이숲어린이집아이숲어린이집충청남도 아산시 배방읍 연화로 36, 810동 103호 (연화마을휴먼시아8단지아파트)해당없음미지정84.620.0<NA>
474475어린이집수정어린이집수정어린이집충청남도 아산시 시민로291번길 30-2, 수정미술어린이집 (용화동)해당없음미지정146.520.0<NA>
475476어린이집금호어울림어린이집금호어울림어린이집충청남도 아산시 배방읍 배방로201번길 20, 202동 101호 (아산배방금호어울림아파트)해당없음미지정85.00.0<NA>
476477어린이집맑은 세상 어린이집맑은 세상 어린이집충청남도 아산시 탕정면 탕정면로 379-20 (한라아파트)맑은 세상 어린이 집해당지정12173.67558.0<NA>
477478어린이집새싹어린이집새싹어린이집충청남도 아산시 음봉면 음봉로681번길 24 (초원그린타운)해당지정920.7113.8<NA>
478479불특정다수이용녹십자요양병원녹십자요양병원충청남도 아산시 온천대로 1529, 녹십자요양병원 (온천동)온천동해당지정1498.03318.0<NA>