Overview

Dataset statistics

Number of variables8
Number of observations229
Missing cells22
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.1 KiB
Average record size in memory67.6 B

Variable types

Numeric3
Categorical2
Text3

Dataset

Description경기도 하남시 내 석면건축물 현황에 대한 자료입니다. 구분, 건축물명, 동명, 주소, 석면건축물 해당여부 등의 정보를 제공합니다. 이 모든 자료는 환경부 석면관리정보망에서도 확인할 수 있습니다.
Author경기도 하남시
URLhttps://www.data.go.kr/data/3047293/fileData.do

Alerts

번호 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
연면적 is highly overall correlated with 번호High correlation
구분 is highly overall correlated with 번호High correlation
동명 has 22 (9.6%) missing valuesMissing
번호 has unique valuesUnique
석면(자재)면적 has 148 (64.6%) zerosZeros

Reproduction

Analysis started2024-04-06 08:55:15.273539
Analysis finished2024-04-06 08:55:18.312885
Duration3.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-06T17:55:18.477865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.4
Q158
median115
Q3172
95-th percentile217.6
Maximum229
Range228
Interquartile range (IQR)114

Descriptive statistics

Standard deviation66.250786
Coefficient of variation (CV)0.57609379
Kurtosis-1.2
Mean115
Median Absolute Deviation (MAD)57
Skewness0
Sum26335
Variance4389.1667
MonotonicityStrictly increasing
2024-04-06T17:55:18.760419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
145 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
Other values (219) 219
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
어린이집
111 
공공건축물
76 
불특정다수이용
31 
기타
 
11

Length

Max length7
Median length5
Mean length4.6419214
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어린이집 111
48.5%
공공건축물 76
33.2%
불특정다수이용 31
 
13.5%
기타 11
 
4.8%

Length

2024-04-06T17:55:19.022618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:19.225854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 111
48.5%
공공건축물 76
33.2%
불특정다수이용 31
 
13.5%
기타 11
 
4.8%

건축물명(상호)
Text

Distinct189
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-06T17:55:19.626083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.2663755
Min length3

Characters and Unicode

Total characters1664
Distinct characters287
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

Unique166 ?
Unique (%)72.5%

Sample

1st row감북동주민센터
2nd row한국전력공사
3rd row한국전력공사
4th row샘숯골숯가마사우나
5th row바롬새롬어린이집
ValueCountFrequency (%)
광암정수사업소 6
 
2.4%
팔당2취수장 5
 
2.0%
한국도로공사 5
 
2.0%
하남정수장 5
 
2.0%
한국전력공사 4
 
1.6%
하남시청 4
 
1.6%
백남빌딩 3
 
1.2%
하남문화예술회관 3
 
1.2%
pc방 3
 
1.2%
하남종합운동장 2
 
0.8%
Other values (195) 214
84.3%
2024-04-06T17:55:20.310380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 119
 
7.2%
린 106
 
6.4%
어 106
 
6.4%
집 104
 
6.2%
하 50
 
3.0%
남 50
 
3.0%
사 31
 
1.9%
아 26
 
1.6%
26
 
1.6%
장 23
 
1.4%
Other values (277) 1023
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1564
94.0%
Uppercase Letter 42
 
2.5%
Space Separator 26
 
1.6%
Decimal Number 18
 
1.1%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Dash Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 119
 
7.6%
린 106
 
6.8%
어 106
 
6.8%
집 104
 
6.6%
하 50
 
3.2%
남 50
 
3.2%
사 31
 
2.0%
아 26
 
1.7%
장 23
 
1.5%
수 20
 
1.3%
Other values (250) 929
59.4%
Uppercase Letter
ValueCountFrequency (%)
P 6
14.3%
L 5
11.9%
C 4
9.5%
K 4
9.5%
A 3
7.1%
S 3
7.1%
I 3
7.1%
B 3
7.1%
M 2
 
4.8%
O 2
 
4.8%
Other values (5) 7
16.7%
Decimal Number
ValueCountFrequency (%)
2 8
44.4%
1 6
33.3%
3 3
 
16.7%
9 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1564
94.0%
Common 57
 
3.4%
Latin 43
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 119
 
7.6%
린 106
 
6.8%
어 106
 
6.8%
집 104
 
6.6%
하 50
 
3.2%
남 50
 
3.2%
사 31
 
2.0%
아 26
 
1.7%
장 23
 
1.5%
수 20
 
1.3%
Other values (250) 929
59.4%
Latin
ValueCountFrequency (%)
P 6
14.0%
L 5
11.6%
C 4
9.3%
K 4
9.3%
A 3
 
7.0%
S 3
 
7.0%
I 3
 
7.0%
B 3
 
7.0%
M 2
 
4.7%
O 2
 
4.7%
Other values (6) 8
18.6%
Common
ValueCountFrequency (%)
26
45.6%
2 8
 
14.0%
1 6
 
10.5%
( 4
 
7.0%
) 4
 
7.0%
3 3
 
5.3%
- 2
 
3.5%
@ 1
 
1.8%
+ 1
 
1.8%
9 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1564
94.0%
ASCII 100
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 119
 
7.6%
린 106
 
6.8%
어 106
 
6.8%
집 104
 
6.6%
하 50
 
3.2%
남 50
 
3.2%
사 31
 
2.0%
아 26
 
1.7%
장 23
 
1.5%
수 20
 
1.3%
Other values (250) 929
59.4%
ASCII
ValueCountFrequency (%)
26
26.0%
2 8
 
8.0%
1 6
 
6.0%
P 6
 
6.0%
L 5
 
5.0%
( 4
 
4.0%
) 4
 
4.0%
C 4
 
4.0%
K 4
 
4.0%
A 3
 
3.0%
Other values (17) 30
30.0%

동명
Text

MISSING 

Distinct199
Distinct (%)96.1%
Missing22
Missing (%)9.6%
Memory size1.9 KiB
2024-04-06T17:55:20.822981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length7.1690821
Min length2

Characters and Unicode

Total characters1484
Distinct characters294
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

Unique191 ?
Unique (%)92.3%

Sample

1st row감북동주민센터
2nd row동서울전력소
3rd row동서울사택
4th row샘숯골숯가마사우나
5th row바롬새롬어린이집
ValueCountFrequency (%)
어린이집 4
 
1.7%
관리인숙소 3
 
1.3%
곤지곤지어린이집 2
 
0.9%
꿈나라어린이집 2
 
0.9%
pc방 2
 
0.9%
나동 2
 
0.9%
동서울지사 2
 
0.9%
가동 2
 
0.9%
첫단추어린이집 2
 
0.9%
바롬새롬어린이집 2
 
0.9%
Other values (206) 210
90.1%
2024-04-06T17:55:21.585409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 126
 
8.5%
어 115
 
7.7%
린 115
 
7.7%
집 112
 
7.5%
동 32
 
2.2%
26
 
1.8%
하 25
 
1.7%
지 23
 
1.5%
아 20
 
1.3%
장 20
 
1.3%
Other values (284) 870
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1384
93.3%
Space Separator 26
 
1.8%
Decimal Number 25
 
1.7%
Uppercase Letter 20
 
1.3%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Other Punctuation 6
 
0.4%
Math Symbol 4
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 126
 
9.1%
어 115
 
8.3%
린 115
 
8.3%
집 112
 
8.1%
동 32
 
2.3%
하 25
 
1.8%
지 23
 
1.7%
아 20
 
1.4%
장 20
 
1.4%
사 19
 
1.4%
Other values (260) 777
56.1%
Uppercase Letter
ValueCountFrequency (%)
C 5
25.0%
P 5
25.0%
S 2
 
10.0%
E 2
 
10.0%
V 1
 
5.0%
L 1
 
5.0%
Q 1
 
5.0%
O 1
 
5.0%
T 1
 
5.0%
I 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 9
36.0%
2 7
28.0%
3 3
 
12.0%
4 3
 
12.0%
6 1
 
4.0%
5 1
 
4.0%
7 1
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1384
93.3%
Common 79
 
5.3%
Latin 21
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 126
 
9.1%
어 115
 
8.3%
린 115
 
8.3%
집 112
 
8.1%
동 32
 
2.3%
하 25
 
1.8%
지 23
 
1.7%
아 20
 
1.4%
장 20
 
1.4%
사 19
 
1.4%
Other values (260) 777
56.1%
Common
ValueCountFrequency (%)
26
32.9%
) 9
 
11.4%
( 9
 
11.4%
1 9
 
11.4%
2 7
 
8.9%
, 6
 
7.6%
3 3
 
3.8%
~ 3
 
3.8%
4 3
 
3.8%
6 1
 
1.3%
Other values (3) 3
 
3.8%
Latin
ValueCountFrequency (%)
C 5
23.8%
P 5
23.8%
S 2
 
9.5%
E 2
 
9.5%
V 1
 
4.8%
r 1
 
4.8%
L 1
 
4.8%
Q 1
 
4.8%
O 1
 
4.8%
T 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1384
93.3%
ASCII 100
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 126
 
9.1%
어 115
 
8.3%
린 115
 
8.3%
집 112
 
8.1%
동 32
 
2.3%
하 25
 
1.8%
지 23
 
1.7%
아 20
 
1.4%
장 20
 
1.4%
사 19
 
1.4%
Other values (260) 777
56.1%
ASCII
ValueCountFrequency (%)
26
26.0%
) 9
 
9.0%
( 9
 
9.0%
1 9
 
9.0%
2 7
 
7.0%
, 6
 
6.0%
C 5
 
5.0%
P 5
 
5.0%
3 3
 
3.0%
~ 3
 
3.0%
Other values (14) 18
18.0%

주소
Text

Distinct199
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-06T17:55:22.100834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length46
Mean length28.672489
Min length19

Characters and Unicode

Total characters6566
Distinct characters174
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)78.6%

Sample

1st row경기도 하남시 감북로 39 (감북동)
2nd row경기도 하남시 감북로 80 (감일동)
3rd row경기도 하남시 감북로 80 (감일동)
4th row경기도 하남시 감이로39번길 101 (감이동)
5th row경기도 하남시 검단남로 46 (하산곡동)
ValueCountFrequency (%)
경기도 229
 
17.7%
하남시 229
 
17.7%
덕풍동 58
 
4.5%
신장동 49
 
3.8%
대청로 24
 
1.9%
창우동 23
 
1.8%
하남대로 16
 
1.2%
신평로 13
 
1.0%
서하남로 13
 
1.0%
101호 11
 
0.9%
Other values (333) 627
48.5%
2024-04-06T17:55:24.331622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1069
 
16.3%
남 299
 
4.6%
하 297
 
4.5%
동 287
 
4.4%
1 269
 
4.1%
( 234
 
3.6%
) 234
 
3.6%
도 232
 
3.5%
시 231
 
3.5%
경 229
 
3.5%
Other values (164) 3185
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3826
58.3%
Space Separator 1069
 
16.3%
Decimal Number 1040
 
15.8%
Open Punctuation 234
 
3.6%
Close Punctuation 234
 
3.6%
Other Punctuation 106
 
1.6%
Dash Punctuation 57
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 299
 
7.8%
하 297
 
7.8%
동 287
 
7.5%
도 232
 
6.1%
시 231
 
6.0%
경 229
 
6.0%
기 229
 
6.0%
로 224
 
5.9%
풍 130
 
3.4%
덕 120
 
3.1%
Other values (149) 1548
40.5%
Decimal Number
ValueCountFrequency (%)
1 269
25.9%
0 149
14.3%
2 116
11.2%
3 89
 
8.6%
5 85
 
8.2%
4 71
 
6.8%
7 70
 
6.7%
9 67
 
6.4%
6 63
 
6.1%
8 61
 
5.9%
Space Separator
ValueCountFrequency (%)
1069
100.0%
Open Punctuation
ValueCountFrequency (%)
( 234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 234
100.0%
Other Punctuation
ValueCountFrequency (%)
, 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3826
58.3%
Common 2740
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 299
 
7.8%
하 297
 
7.8%
동 287
 
7.5%
도 232
 
6.1%
시 231
 
6.0%
경 229
 
6.0%
기 229
 
6.0%
로 224
 
5.9%
풍 130
 
3.4%
덕 120
 
3.1%
Other values (149) 1548
40.5%
Common
ValueCountFrequency (%)
1069
39.0%
1 269
 
9.8%
( 234
 
8.5%
) 234
 
8.5%
0 149
 
5.4%
2 116
 
4.2%
, 106
 
3.9%
3 89
 
3.2%
5 85
 
3.1%
4 71
 
2.6%
Other values (5) 318
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3826
58.3%
ASCII 2740
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1069
39.0%
1 269
 
9.8%
( 234
 
8.5%
) 234
 
8.5%
0 149
 
5.4%
2 116
 
4.2%
, 106
 
3.9%
3 89
 
3.2%
5 85
 
3.1%
4 71
 
2.6%
Other values (5) 318
 
11.6%
Hangul
ValueCountFrequency (%)
남 299
 
7.8%
하 297
 
7.8%
동 287
 
7.5%
도 232
 
6.1%
시 231
 
6.0%
경 229
 
6.0%
기 229
 
6.0%
로 224
 
5.9%
풍 130
 
3.4%
덕 120
 
3.1%
Other values (149) 1548
40.5%

석면건축물여부
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
해당없음
193 
해당
36 

Length

Max length4
Median length4
Mean length3.6855895
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 193
84.3%
해당 36
 
15.7%

Length

2024-04-06T17:55:24.623164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:55:24.811365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 193
84.3%
해당 36
 
15.7%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct205
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2046.5313
Minimum49.58
Maximum48995.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-06T17:55:25.059818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.58
5-th percentile67.066
Q1111.59
median528
Q31715.54
95-th percentile8414.246
Maximum48995.14
Range48945.56
Interquartile range (IQR)1603.95

Descriptive statistics

Standard deviation5220.9469
Coefficient of variation (CV)2.55112
Kurtosis52.674346
Mean2046.5313
Median Absolute Deviation (MAD)443.08
Skewness6.5905718
Sum468655.67
Variance27258287
MonotonicityNot monotonic
2024-04-06T17:55:25.351560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.83 5
 
2.2%
84.99 4
 
1.7%
85.0 3
 
1.3%
84.96 3
 
1.3%
84.97 3
 
1.3%
49.98 2
 
0.9%
207.0 2
 
0.9%
59.97 2
 
0.9%
1509.38 2
 
0.9%
1800.0 2
 
0.9%
Other values (195) 201
87.8%
ValueCountFrequency (%)
49.58 1
0.4%
49.98 2
0.9%
58.09 1
0.4%
58.92 1
0.4%
59.91 1
0.4%
59.97 2
0.9%
60.0 2
0.9%
61.41 1
0.4%
64.65 1
0.4%
70.69 1
0.4%
ValueCountFrequency (%)
48995.14 1
0.4%
46854.0 1
0.4%
22923.0 1
0.4%
16653.0 1
0.4%
14851.81 1
0.4%
12512.6 1
0.4%
11416.32 1
0.4%
10551.22 1
0.4%
9646.33 1
0.4%
9351.0 1
0.4%

석면(자재)면적
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.90013
Minimum0
Maximum9169.08
Zeros148
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-06T17:55:25.639491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.52
95-th percentile571.44
Maximum9169.08
Range9169.08
Interquartile range (IQR)4.52

Descriptive statistics

Standard deviation794.98546
Coefficient of variation (CV)4.9408627
Kurtosis82.409629
Mean160.90013
Median Absolute Deviation (MAD)0
Skewness8.4073089
Sum36846.13
Variance632001.88
MonotonicityNot monotonic
2024-04-06T17:55:25.913632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 148
64.6%
4.52 2
 
0.9%
15.12 2
 
0.9%
3.0 2
 
0.9%
15.87 2
 
0.9%
2.73 2
 
0.9%
623.83 1
 
0.4%
5.6 1
 
0.4%
7.25 1
 
0.4%
107.52 1
 
0.4%
Other values (67) 67
29.3%
ValueCountFrequency (%)
0.0 148
64.6%
0.11 1
 
0.4%
0.18 1
 
0.4%
0.21 1
 
0.4%
0.24 1
 
0.4%
0.26 1
 
0.4%
0.31 1
 
0.4%
0.34 1
 
0.4%
0.38 1
 
0.4%
1.0 1
 
0.4%
ValueCountFrequency (%)
9169.08 1
0.4%
5413.49 1
0.4%
3651.5 1
0.4%
2686.18 1
0.4%
2616.21 1
0.4%
1767.3 1
0.4%
1068.96 1
0.4%
896.06 1
0.4%
822.17 1
0.4%
623.83 1
0.4%

Interactions

2024-04-06T17:55:17.324951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.280244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.776255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.543257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.434725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.949946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.718422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:16.598576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:55:17.136487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:55:26.093960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분석면건축물여부연면적석면(자재)면적
번호1.0000.7170.3680.2120.246
구분0.7171.0000.2580.3640.161
석면건축물여부0.3680.2581.0000.2160.536
연면적0.2120.3640.2161.0000.737
석면(자재)면적0.2460.1610.5360.7371.000
2024-04-06T17:55:26.445508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
석면건축물여부구분
석면건축물여부1.0000.171
구분0.1711.000
2024-04-06T17:55:26.618984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호연면적석면(자재)면적구분석면건축물여부
번호1.000-0.734-0.1590.5190.276
연면적-0.7341.0000.1830.2400.154
석면(자재)면적-0.1590.1831.0000.1030.384
구분0.5190.2400.1031.0000.171
석면건축물여부0.2760.1540.3840.1711.000

Missing values

2024-04-06T17:55:17.945642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:55:18.215952image/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)동명주소석면건축물여부연면적석면(자재)면적
01공공건축물감북동주민센터감북동주민센터경기도 하남시 감북로 39 (감북동)해당909.12623.83
12공공건축물한국전력공사동서울전력소경기도 하남시 감북로 80 (감일동)해당5959.54619.23
23공공건축물한국전력공사동서울사택경기도 하남시 감북로 80 (감일동)해당1335.81337.24
34불특정다수이용샘숯골숯가마사우나샘숯골숯가마사우나경기도 하남시 감이로39번길 101 (감이동)해당없음1499.490.0
45어린이집바롬새롬어린이집바롬새롬어린이집경기도 하남시 검단남로 46 (하산곡동)해당없음492.550.0
56공공건축물하남등기소<NA>경기도 하남시 검단산로 15 (하산곡동)해당없음632.820.26
67공공건축물다목적복지회관다목적복지회관경기도 하남시 하산곡동 검단산로19번길 27해당1225.01217.89
78공공건축물한국전력공사한전신장변전소경기도 하남시 검단산로 233 (창우동)해당2160.01767.3
89공공건축물한국전력공사한전하남지점경기도 하남시 검단산로 233 (창우동)해당없음6706.360.24
910공공건축물하남시벤처집적시설<NA>경기도 하남시 검단산로 239 (창우동)해당없음8785.070.0
번호구분건축물명(상호)동명주소석면건축물여부연면적석면(자재)면적
219220어린이집아파트곤지곤지어린이집경기도 하남시 대청로59번길 20-0 (더우개마을동일아파트)해당없음72.05.67
220221어린이집라인아파트꼬마숲어린이집경기도 하남시 하남대로 895-0 (라인아파트) (라인아파트)해당없음106.997.6
221222어린이집케이씨씨아파트아이미소어린이집경기도 하남시 신장로205번길 30-0 (케이씨씨아파트) (케이씨씨아파트)해당없음84.990.0
222223어린이집한솔리치빌@꼬마궁전어린이집경기도 하남시 덕산로 39-0 (한솔리치빌1단지아파트)해당없음82.80.0
223224어린이집첫단추어린이집첫단추어린이집경기도 하남시 하남대로 777-0해당없음207.00.0
224225어린이집해솔어린이집해솔 어린이집경기도 하남시 하남대로784번안길 24-0해당없음132.40.0
225226어린이집예원어린이집예원어린이집경기도 하남시 역말로28번길 38-6해당없음151.650.0
226227어린이집다일네오빌이도어린이집경기도 하남시 신평로 35-8 (다일네오빌아파트)해당없음116.8415.12
227228어린이집청개구리어린이집청개구리 어린이집경기도 하남시 하남대로934번길 99-0해당없음473.950.0
228229어린이집슬기꼬마숲어린이집슬기꼬마숲어린이집경기도 하남시 대청로116번길 30, 101동 104호 (창우동, 은행뉴서울아파트)해당없음101.993.0