Overview

Dataset statistics

Number of variables8
Number of observations1285
Missing cells115
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.2 KiB
Average record size in memory67.1 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description경기도 고양시_석면조사대상 건축물정보에 대한 데이터로 석면조사대상 건축물에 대한 건물명, 위치, 구분, 연면적 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15012282/fileData.do

Alerts

번호 is highly overall correlated with 연면적(제곱미터)High correlation
연면적(제곱미터) is highly overall correlated with 번호High correlation
동명 has 115 (8.9%) missing valuesMissing
번호 has unique valuesUnique
석면(자재)면적 has 773 (60.2%) zerosZeros

Reproduction

Analysis started2023-12-12 22:48:07.807657
Analysis finished2023-12-12 22:48:09.559100
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1285
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean643
Minimum1
Maximum1285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-13T07:48:09.627383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65.2
Q1322
median643
Q3964
95-th percentile1220.8
Maximum1285
Range1284
Interquartile range (IQR)642

Descriptive statistics

Standard deviation371.09186
Coefficient of variation (CV)0.57712575
Kurtosis-1.2
Mean643
Median Absolute Deviation (MAD)321
Skewness0
Sum826255
Variance137709.17
MonotonicityStrictly decreasing
2023-12-13T07:48:09.753391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1285 1
 
0.1%
481 1
 
0.1%
423 1
 
0.1%
424 1
 
0.1%
425 1
 
0.1%
426 1
 
0.1%
427 1
 
0.1%
428 1
 
0.1%
429 1
 
0.1%
430 1
 
0.1%
Other values (1275) 1275
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1285 1
0.1%
1284 1
0.1%
1283 1
0.1%
1282 1
0.1%
1281 1
0.1%
1280 1
0.1%
1279 1
0.1%
1278 1
0.1%
1277 1
0.1%
1276 1
0.1%

구분
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
어린이집
565 
불특정다수이용
355 
공공건축물
288 
대학교
 
43
기타
 
34

Length

Max length7
Median length5
Mean length4.966537
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공건축물
2nd row불특정다수이용
3rd row불특정다수이용
4th row어린이집
5th row어린이집

Common Values

ValueCountFrequency (%)
어린이집 565
44.0%
불특정다수이용 355
27.6%
공공건축물 288
22.4%
대학교 43
 
3.3%
기타 34
 
2.6%

Length

2023-12-13T07:48:09.871445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:48:09.964292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 565
44.0%
불특정다수이용 355
27.6%
공공건축물 288
22.4%
대학교 43
 
3.3%
기타 34
 
2.6%
Distinct1106
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-13T07:48:10.193833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length8.4708171
Min length2

Characters and Unicode

Total characters10885
Distinct characters516
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1037 ?
Unique (%)80.7%

Sample

1st row일산올림픽스포츠센타
2nd row명지병원
3rd row명지병원
4th row해달별어린이집유치원
5th rowABC키즈스쿨어린이집
ValueCountFrequency (%)
난지물재생센터 24
 
1.6%
농협대학교(급수장 23
 
1.5%
펌프실 23
 
1.5%
23
 
1.5%
22개동 23
 
1.5%
어린이집 20
 
1.3%
수도권철도차량정비단 13
 
0.9%
라페스타쇼핑몰 12
 
0.8%
한국항공대학교 11
 
0.7%
일산점 9
 
0.6%
Other values (1172) 1346
88.1%
2023-12-13T07:48:10.547508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
709
 
6.5%
587
 
5.4%
573
 
5.3%
567
 
5.2%
245
 
2.3%
177
 
1.6%
168
 
1.5%
166
 
1.5%
153
 
1.4%
140
 
1.3%
Other values (506) 7400
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10151
93.3%
Space Separator 245
 
2.3%
Decimal Number 184
 
1.7%
Close Punctuation 95
 
0.9%
Open Punctuation 95
 
0.9%
Uppercase Letter 74
 
0.7%
Other Punctuation 20
 
0.2%
Lowercase Letter 17
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
709
 
7.0%
587
 
5.8%
573
 
5.6%
567
 
5.6%
177
 
1.7%
168
 
1.7%
166
 
1.6%
153
 
1.5%
140
 
1.4%
138
 
1.4%
Other values (462) 6773
66.7%
Uppercase Letter
ValueCountFrequency (%)
B 12
16.2%
C 10
13.5%
A 8
10.8%
S 7
9.5%
I 7
9.5%
K 7
9.5%
T 4
 
5.4%
Y 3
 
4.1%
M 3
 
4.1%
G 2
 
2.7%
Other values (8) 11
14.9%
Decimal Number
ValueCountFrequency (%)
2 91
49.5%
1 45
24.5%
3 15
 
8.2%
0 11
 
6.0%
4 9
 
4.9%
9 4
 
2.2%
7 3
 
1.6%
6 2
 
1.1%
8 2
 
1.1%
5 2
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
s 4
23.5%
o 4
23.5%
k 3
17.6%
z 2
11.8%
c 1
 
5.9%
m 1
 
5.9%
d 1
 
5.9%
i 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
# 8
40.0%
, 6
30.0%
! 3
 
15.0%
. 3
 
15.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10151
93.3%
Common 643
 
5.9%
Latin 91
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
709
 
7.0%
587
 
5.8%
573
 
5.6%
567
 
5.6%
177
 
1.7%
168
 
1.7%
166
 
1.6%
153
 
1.5%
140
 
1.4%
138
 
1.4%
Other values (462) 6773
66.7%
Latin
ValueCountFrequency (%)
B 12
13.2%
C 10
 
11.0%
A 8
 
8.8%
S 7
 
7.7%
I 7
 
7.7%
K 7
 
7.7%
s 4
 
4.4%
T 4
 
4.4%
o 4
 
4.4%
Y 3
 
3.3%
Other values (16) 25
27.5%
Common
ValueCountFrequency (%)
245
38.1%
) 95
 
14.8%
( 95
 
14.8%
2 91
 
14.2%
1 45
 
7.0%
3 15
 
2.3%
0 11
 
1.7%
4 9
 
1.4%
# 8
 
1.2%
, 6
 
0.9%
Other values (8) 23
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10151
93.3%
ASCII 734
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
709
 
7.0%
587
 
5.8%
573
 
5.6%
567
 
5.6%
177
 
1.7%
168
 
1.7%
166
 
1.6%
153
 
1.5%
140
 
1.4%
138
 
1.4%
Other values (462) 6773
66.7%
ASCII
ValueCountFrequency (%)
245
33.4%
) 95
 
12.9%
( 95
 
12.9%
2 91
 
12.4%
1 45
 
6.1%
3 15
 
2.0%
B 12
 
1.6%
0 11
 
1.5%
C 10
 
1.4%
4 9
 
1.2%
Other values (34) 106
14.4%

동명
Text

MISSING 

Distinct1147
Distinct (%)98.0%
Missing115
Missing (%)8.9%
Memory size10.2 KiB
2023-12-13T07:48:10.800195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.7555556
Min length1

Characters and Unicode

Total characters10244
Distinct characters518
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1129 ?
Unique (%)96.5%

Sample

1st row일산올림픽스포츠센타
2nd row실내주차장
3rd row장례식장
4th row해달별어린이집유치원
5th rowABC키즈스쿨어린이집
ValueCountFrequency (%)
어린이집 21
 
1.5%
여객홈지붕 13
 
0.9%
라페스타쇼핑몰 12
 
0.9%
실내주차장 9
 
0.6%
시립 7
 
0.5%
난지물재생센터(오니제2처리장 7
 
0.5%
본관 6
 
0.4%
지하주차장 5
 
0.4%
일산점 5
 
0.4%
a동 5
 
0.4%
Other values (1180) 1297
93.5%
2023-12-13T07:48:11.154034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
697
 
6.8%
576
 
5.6%
572
 
5.6%
565
 
5.5%
229
 
2.2%
194
 
1.9%
144
 
1.4%
) 143
 
1.4%
( 143
 
1.4%
129
 
1.3%
Other values (508) 6852
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9387
91.6%
Space Separator 229
 
2.2%
Decimal Number 185
 
1.8%
Close Punctuation 143
 
1.4%
Open Punctuation 143
 
1.4%
Uppercase Letter 93
 
0.9%
Other Punctuation 46
 
0.4%
Lowercase Letter 10
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
697
 
7.4%
576
 
6.1%
572
 
6.1%
565
 
6.0%
194
 
2.1%
144
 
1.5%
129
 
1.4%
126
 
1.3%
124
 
1.3%
122
 
1.3%
Other values (463) 6138
65.4%
Uppercase Letter
ValueCountFrequency (%)
B 17
18.3%
A 14
15.1%
C 12
12.9%
S 8
8.6%
I 6
 
6.5%
K 6
 
6.5%
E 5
 
5.4%
T 4
 
4.3%
Y 3
 
3.2%
M 3
 
3.2%
Other values (10) 15
16.1%
Decimal Number
ValueCountFrequency (%)
2 67
36.2%
1 60
32.4%
3 17
 
9.2%
0 17
 
9.2%
4 9
 
4.9%
7 5
 
2.7%
6 4
 
2.2%
5 3
 
1.6%
8 2
 
1.1%
9 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
k 3
30.0%
s 3
30.0%
d 1
 
10.0%
i 1
 
10.0%
c 1
 
10.0%
p 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
# 22
47.8%
, 16
34.8%
. 3
 
6.5%
! 3
 
6.5%
/ 2
 
4.3%
Space Separator
ValueCountFrequency (%)
229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9387
91.6%
Common 754
 
7.4%
Latin 103
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
697
 
7.4%
576
 
6.1%
572
 
6.1%
565
 
6.0%
194
 
2.1%
144
 
1.5%
129
 
1.4%
126
 
1.3%
124
 
1.3%
122
 
1.3%
Other values (463) 6138
65.4%
Latin
ValueCountFrequency (%)
B 17
16.5%
A 14
13.6%
C 12
11.7%
S 8
 
7.8%
I 6
 
5.8%
K 6
 
5.8%
E 5
 
4.9%
T 4
 
3.9%
Y 3
 
2.9%
M 3
 
2.9%
Other values (16) 25
24.3%
Common
ValueCountFrequency (%)
229
30.4%
) 143
19.0%
( 143
19.0%
2 67
 
8.9%
1 60
 
8.0%
# 22
 
2.9%
3 17
 
2.3%
0 17
 
2.3%
, 16
 
2.1%
4 9
 
1.2%
Other values (9) 31
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9387
91.6%
ASCII 857
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
697
 
7.4%
576
 
6.1%
572
 
6.1%
565
 
6.0%
194
 
2.1%
144
 
1.5%
129
 
1.4%
126
 
1.3%
124
 
1.3%
122
 
1.3%
Other values (463) 6138
65.4%
ASCII
ValueCountFrequency (%)
229
26.7%
) 143
16.7%
( 143
16.7%
2 67
 
7.8%
1 60
 
7.0%
# 22
 
2.6%
3 17
 
2.0%
B 17
 
2.0%
0 17
 
2.0%
, 16
 
1.9%
Other values (35) 126
14.7%

주소
Text

Distinct996
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-13T07:48:11.413806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length61
Mean length37.048249
Min length23

Characters and Unicode

Total characters47607
Distinct characters406
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique851 ?
Unique (%)66.2%

Sample

1st row경기도 고양시 일산동구 중앙로 1182 (마두동)
2nd row경기도 고양시 덕양구 화수로14번길 55-0 (명지병원)
3rd row경기도 고양시 덕양구 화수로14번길 55-0 (명지병원)
4th row경기도 고양시 덕양구 강매로 229 (강매동)
5th row경기도 고양시 일산서구 원일로21번길 22 (일산동, 일신건영아파트)
ValueCountFrequency (%)
고양시 1286
 
14.7%
경기도 1285
 
14.7%
덕양구 495
 
5.6%
일산동구 447
 
5.1%
일산서구 345
 
3.9%
중앙로 100
 
1.1%
행신동 70
 
0.8%
일산동 65
 
0.7%
일산로 64
 
0.7%
주엽동 53
 
0.6%
Other values (1844) 4553
52.0%
2023-12-13T07:48:11.890156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7489
 
15.7%
2002
 
4.2%
1954
 
4.1%
( 1625
 
3.4%
) 1622
 
3.4%
1480
 
3.1%
1405
 
3.0%
1339
 
2.8%
1321
 
2.8%
1317
 
2.8%
Other values (396) 26053
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30449
64.0%
Space Separator 7489
 
15.7%
Decimal Number 5417
 
11.4%
Open Punctuation 1625
 
3.4%
Close Punctuation 1622
 
3.4%
Other Punctuation 582
 
1.2%
Dash Punctuation 266
 
0.6%
Uppercase Letter 140
 
0.3%
Math Symbol 16
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2002
 
6.6%
1954
 
6.4%
1480
 
4.9%
1405
 
4.6%
1339
 
4.4%
1321
 
4.3%
1317
 
4.3%
1316
 
4.3%
1302
 
4.3%
1252
 
4.1%
Other values (359) 15761
51.8%
Uppercase Letter
ValueCountFrequency (%)
B 36
25.7%
C 17
12.1%
A 16
11.4%
F 12
 
8.6%
E 12
 
8.6%
D 12
 
8.6%
I 8
 
5.7%
K 7
 
5.0%
S 6
 
4.3%
T 4
 
2.9%
Other values (8) 10
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1253
23.1%
2 803
14.8%
3 596
11.0%
4 471
 
8.7%
6 468
 
8.6%
5 450
 
8.3%
0 421
 
7.8%
8 374
 
6.9%
7 358
 
6.6%
9 223
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 558
95.9%
# 20
 
3.4%
. 4
 
0.7%
Space Separator
ValueCountFrequency (%)
7489
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1625
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1622
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30449
64.0%
Common 17017
35.7%
Latin 141
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2002
 
6.6%
1954
 
6.4%
1480
 
4.9%
1405
 
4.6%
1339
 
4.4%
1321
 
4.3%
1317
 
4.3%
1316
 
4.3%
1302
 
4.3%
1252
 
4.1%
Other values (359) 15761
51.8%
Latin
ValueCountFrequency (%)
B 36
25.5%
C 17
12.1%
A 16
11.3%
F 12
 
8.5%
E 12
 
8.5%
D 12
 
8.5%
I 8
 
5.7%
K 7
 
5.0%
S 6
 
4.3%
T 4
 
2.8%
Other values (9) 11
 
7.8%
Common
ValueCountFrequency (%)
7489
44.0%
( 1625
 
9.5%
) 1622
 
9.5%
1 1253
 
7.4%
2 803
 
4.7%
3 596
 
3.5%
, 558
 
3.3%
4 471
 
2.8%
6 468
 
2.8%
5 450
 
2.6%
Other values (8) 1682
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30449
64.0%
ASCII 17158
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7489
43.6%
( 1625
 
9.5%
) 1622
 
9.5%
1 1253
 
7.3%
2 803
 
4.7%
3 596
 
3.5%
, 558
 
3.3%
4 471
 
2.7%
6 468
 
2.7%
5 450
 
2.6%
Other values (27) 1823
 
10.6%
Hangul
ValueCountFrequency (%)
2002
 
6.6%
1954
 
6.4%
1480
 
4.9%
1405
 
4.6%
1339
 
4.4%
1321
 
4.3%
1317
 
4.3%
1316
 
4.3%
1302
 
4.3%
1252
 
4.1%
Other values (359) 15761
51.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
해당없음
1042 
해당
243 

Length

Max length4
Median length4
Mean length3.6217899
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 1042
81.1%
해당 243
 
18.9%

Length

2023-12-13T07:48:12.038196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:48:12.137370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 1042
81.1%
해당 243
 
18.9%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct1068
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4327.1631
Minimum1
Maximum223345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-13T07:48:12.244636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile67.458
Q1106.7
median692.68
Q33204
95-th percentile18598.368
Maximum223345
Range223344
Interquartile range (IQR)3097.3

Descriptive statistics

Standard deviation12849.325
Coefficient of variation (CV)2.9694572
Kurtosis101.87553
Mean4327.1631
Median Absolute Deviation (MAD)608.68
Skewness8.3983458
Sum5560404.6
Variance1.6510517 × 108
MonotonicityNot monotonic
2023-12-13T07:48:12.392492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 15
 
1.2%
84.9 13
 
1.0%
85.0 13
 
1.0%
84.99 12
 
0.9%
84.0 11
 
0.9%
84.93 11
 
0.9%
84.79 7
 
0.5%
84.96 7
 
0.5%
1542.16 6
 
0.5%
59.97 6
 
0.5%
Other values (1058) 1184
92.1%
ValueCountFrequency (%)
1.0 1
0.1%
7.75 1
0.1%
19.25 1
0.1%
24.03 1
0.1%
36.4 1
0.1%
39.75 1
0.1%
41.0 1
0.1%
43.32 2
0.2%
44.0 1
0.1%
45.0 1
0.1%
ValueCountFrequency (%)
223345.0 1
0.1%
167533.0 1
0.1%
117134.0 1
0.1%
104694.9 1
0.1%
103175.0 1
0.1%
91339.97 1
0.1%
79537.09 1
0.1%
79321.38 1
0.1%
78439.39 1
0.1%
74608.0 1
0.1%

석면(자재)면적
Real number (ℝ)

ZEROS 

Distinct453
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.62686
Minimum0
Maximum16229.03
Zeros773
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size11.4 KiB
2023-12-13T07:48:12.565117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.13
95-th percentile869.956
Maximum16229.03
Range16229.03
Interquartile range (IQR)9.13

Descriptive statistics

Standard deviation846.91506
Coefficient of variation (CV)4.637407
Kurtosis146.68707
Mean182.62686
Median Absolute Deviation (MAD)0
Skewness10.312445
Sum234675.51
Variance717265.12
MonotonicityNot monotonic
2023-12-13T07:48:12.724395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 773
60.2%
5.0 9
 
0.7%
2.0 6
 
0.5%
1.0 4
 
0.3%
3.0 4
 
0.3%
3.75 3
 
0.2%
0.1 3
 
0.2%
6.6 3
 
0.2%
5.4 3
 
0.2%
3.15 3
 
0.2%
Other values (443) 474
36.9%
ValueCountFrequency (%)
0.0 773
60.2%
0.01 1
 
0.1%
0.02 2
 
0.2%
0.03 2
 
0.2%
0.04 2
 
0.2%
0.07 3
 
0.2%
0.09 2
 
0.2%
0.1 3
 
0.2%
0.11 2
 
0.2%
0.14 1
 
0.1%
ValueCountFrequency (%)
16229.03 1
0.1%
11161.71 1
0.1%
10343.15 1
0.1%
6682.5 1
0.1%
6191.31 1
0.1%
5156.71 1
0.1%
4870.5 1
0.1%
4728.72 1
0.1%
4524.13 1
0.1%
4444.08 1
0.1%

Interactions

2023-12-13T07:48:09.106016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:08.604398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:08.863164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:09.204940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:08.691318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:08.953644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:09.285923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:08.768898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:48:09.025584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:48:12.824444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분석면건축물여부연면적(제곱미터)석면(자재)면적
번호1.0000.8360.3200.1310.106
구분0.8361.0000.1890.1590.174
석면건축물여부0.3200.1891.0000.1290.359
연면적(제곱미터)0.1310.1590.1291.0000.044
석면(자재)면적0.1060.1740.3590.0441.000
2023-12-13T07:48:12.925370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분석면건축물여부
구분1.0000.231
석면건축물여부0.2311.000
2023-12-13T07:48:13.030954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연면적(제곱미터)석면(자재)면적구분석면건축물여부
번호1.000-0.694-0.1380.4960.244
연면적(제곱미터)-0.6941.0000.1940.0970.097
석면(자재)면적-0.1380.1941.0000.1120.384
구분0.4960.0970.1121.0000.231
석면건축물여부0.2440.0970.3840.2311.000

Missing values

2023-12-13T07:48:09.399855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:48:09.509733image/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)동명주소석면건축물여부연면적(제곱미터)석면(자재)면적
01285공공건축물일산올림픽스포츠센타일산올림픽스포츠센타경기도 고양시 일산동구 중앙로 1182 (마두동)해당35849.45988.9
11284불특정다수이용명지병원실내주차장경기도 고양시 덕양구 화수로14번길 55-0 (명지병원)해당23365.8256.83
21283불특정다수이용명지병원장례식장경기도 고양시 덕양구 화수로14번길 55-0 (명지병원)해당없음2107.980.0
31282어린이집해달별어린이집유치원해달별어린이집유치원경기도 고양시 덕양구 강매로 229 (강매동)해당없음555.250.0
41281어린이집ABC키즈스쿨어린이집ABC키즈스쿨어린이집경기도 고양시 일산서구 원일로21번길 22 (일산동, 일신건영아파트)해당없음84.996.66
51280어린이집코코유아교실코코유아교실경기도 고양시 일산서구 산현로 34 (일산동, 동문1차아파트)해당없음84.957.14
61279어린이집국제어런이집국제어런이집경기도 고양시 일산서구 송포로 207 (가좌동, 가좌마을7단지아파트)해당없음442.00.0
71278어린이집대우사과나무어린이집대우사과나무어린이집경기도 고양시 일산서구 가좌3로 45 (가좌동, 가좌마을2단지아파트)해당없음84.860.0
81277어린이집사랑웃음가득어린이집사랑웃음가득어린이집경기도 고양시 일산서구 일산로803번길 47-15 (대화동)해당없음110.610.0
91276어린이집그린나무어린이집그린나무어린이집경기도 고양시 일산서구 송포로 207 (가좌동, 가좌마을7단지아파트)해당없음90.00.0
번호구분건축물명(상호)동명주소석면건축물여부연면적(제곱미터)석면(자재)면적
127510불특정다수이용대우로얄마트대우로얄마트경기도 고양시 일산동구 중앙로 1129 (장항동, 호수마을1단지아파트)(호수마을1단지아파트) 대우로얄마트해당12562.262455.73
12769불특정다수이용올리브상가(일산자생한방병원)일산자생한방병원경기도 고양시 일산동구 중앙로 1130 (마두동, 강촌마을6단지아파트)강촌마을6단지아파트 올리브 상가해당없음1619.00.0
12778공공건축물농협고양유통센터관련상품동경기도 고양시 일산서구 대화로 362 (대화동)(농수산물유통센터) (농수산물유통센터) 총무과 시설해당6390.361479.6
12787불특정다수이용동양생명 일산사옥동양생명 일산사옥경기도 고양시 일산동구 중앙로 1165 (장항동)해당없음2246.3629.2
12796불특정다수이용성원코아(실내주차장)성원코아(실내주차장)경기도 고양시 덕양구 고양대로 1393 (성사동)7층 관리실, 성원코아관리단해당없음2896.690.0
12805공공건축물행주양수장행주양수장경기도 고양시 덕양구 행주산성로 93-96 (행주외동)해당770.0174.32
12814공공건축물백암양수장0경기도 고양시 일산서구 고양대로 258 (대화동)해당566.0247.64
12823불특정다수이용효그린요양병원효그린요양병원경기도 고양시 덕양구 중앙로 478 (행신동)(행신미원프라자) 미원프라자해당3380.42400.79
12832불특정다수이용오원프라자오원프라자경기도 고양시 일산동구 중앙로 1160 (마두동)(화랑복합빌딩) 701호해당없음24862.50.0
12841공공건축물한국노인인력개발원<NA>경기도 고양시 일산동구 하늘마을로 106 (중산동)-해당없음2451.40.0