Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells27
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory83.3 B

Variable types

Text5
Categorical3
Numeric2

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=753093d0-fe2e-11ea-b106-bb1b49668671

Alerts

미세먼지 수치 is highly overall correlated with 대기질 지수High correlation
대기질 지수 is highly overall correlated with 미세먼지 수치High correlation
업태명 is highly imbalanced (55.9%)Imbalance
홈페이지주소 has 27 (27.0%) missing valuesMissing
시설코드 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:04:12.618267
Analysis finished2023-12-10 12:04:15.842405
Duration3.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설코드
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:04:16.165941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters500
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowA0001
2nd rowA0002
3rd rowA0003
4th rowA0004
5th rowA0007
ValueCountFrequency (%)
a0001 1
 
1.0%
a0083 1
 
1.0%
a0100 1
 
1.0%
a0099 1
 
1.0%
a0098 1
 
1.0%
a0095 1
 
1.0%
a0094 1
 
1.0%
a0093 1
 
1.0%
a0091 1
 
1.0%
a0090 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T21:04:16.829479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 194
38.8%
A 100
20.0%
1 53
 
10.6%
3 28
 
5.6%
4 22
 
4.4%
2 22
 
4.4%
9 19
 
3.8%
5 17
 
3.4%
7 16
 
3.2%
6 15
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
48.5%
1 53
 
13.2%
3 28
 
7.0%
4 22
 
5.5%
2 22
 
5.5%
9 19
 
4.8%
5 17
 
4.2%
7 16
 
4.0%
6 15
 
3.8%
8 14
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 194
48.5%
1 53
 
13.2%
3 28
 
7.0%
4 22
 
5.5%
2 22
 
5.5%
9 19
 
4.8%
5 17
 
4.2%
7 16
 
4.0%
6 15
 
3.8%
8 14
 
3.5%
Latin
ValueCountFrequency (%)
A 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 194
38.8%
A 100
20.0%
1 53
 
10.6%
3 28
 
5.6%
4 22
 
4.4%
2 22
 
4.4%
9 19
 
3.8%
5 17
 
3.4%
7 16
 
3.2%
6 15
 
3.0%

시설명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:04:17.154433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.91
Min length3

Characters and Unicode

Total characters691
Distinct characters153
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row서울꽃동네신내노인요양원
2nd row청운양로원
3rd row청운노인요양원
4th row홍파양로원
5th row천사노인요양원
ValueCountFrequency (%)
집 3
 
2.7%
영락양로원 2
 
1.8%
보은의집 2
 
1.8%
갓바위치매센터 1
 
0.9%
노인요양센터 1
 
0.9%
시립고덕양로원 1
 
0.9%
상애노인전문요양원 1
 
0.9%
상애원 1
 
0.9%
고향의 1
 
0.9%
남제주요양원 1
 
0.9%
Other values (97) 97
87.4%
2023-12-10T21:04:17.715620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 67
 
9.7%
양 61
 
8.8%
요 48
 
6.9%
인 39
 
5.6%
노 33
 
4.8%
집 16
 
2.3%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.7%
11
 
1.6%
Other values (143) 376
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
98.1%
Space Separator 11
 
1.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 67
 
9.9%
양 61
 
9.0%
요 48
 
7.1%
인 39
 
5.8%
노 33
 
4.9%
집 16
 
2.4%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.8%
동 11
 
1.6%
Other values (140) 363
53.5%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
98.1%
Common 13
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 67
 
9.9%
양 61
 
9.0%
요 48
 
7.1%
인 39
 
5.8%
노 33
 
4.9%
집 16
 
2.4%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.8%
동 11
 
1.6%
Other values (140) 363
53.5%
Common
ValueCountFrequency (%)
11
84.6%
( 1
 
7.7%
) 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
98.1%
ASCII 13
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 67
 
9.9%
양 61
 
9.0%
요 48
 
7.1%
인 39
 
5.8%
노 33
 
4.9%
집 16
 
2.4%
의 15
 
2.2%
로 13
 
1.9%
시 12
 
1.8%
동 11
 
1.6%
Other values (140) 363
53.5%
ASCII
ValueCountFrequency (%)
11
84.6%
( 1
 
7.7%
) 1
 
7.7%

업태명
Categorical

IMBALANCE 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
73 
비영리
12 
서비스
 
3
보건업
 
3
사회복지
 
2
Other values (7)
 
7

Length

Max length6
Median length4
Mean length3.8
Min length2

Unique

Unique7 ?
Unique (%)7.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
73.0%
비영리 12
 
12.0%
서비스 3
 
3.0%
보건업 3
 
3.0%
사회복지 2
 
2.0%
공공기관 1
 
1.0%
노인 1
 
1.0%
기타서비스업 1
 
1.0%
써비스 1
 
1.0%
비영리법인 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2023-12-10T21:04:17.911188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 73
73.0%
비영리 12
 
12.0%
서비스 3
 
3.0%
보건업 3
 
3.0%
사회복지 2
 
2.0%
공공기관 1
 
1.0%
노인 1
 
1.0%
기타서비스업 1
 
1.0%
써비스 1
 
1.0%
비영리법인 1
 
1.0%
Other values (2) 2
 
2.0%

홈페이지주소
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing27
Missing (%)27.0%
Memory size932.0 B
2023-12-10T21:04:18.254440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length19.452055
Min length12

Characters and Unicode

Total characters1420
Distinct characters40
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)94.5%

Sample

1st rowwww.chungwoon.or.kr
2nd rowhttp://www.chungwoon.or.kr
3rd rowsilver.hongpa.or.kr
4th rowwww.yongin-lotusvill.or.kr
5th rowwww.ph.or.kr
ValueCountFrequency (%)
hannawon.or.kr 2
 
2.7%
www.ulsansilver.or.kr 2
 
2.7%
www.kkotnoin.or.kr 1
 
1.4%
www.ijsilverhome.or.kr 1
 
1.4%
sangaewon.com 1
 
1.4%
www.cyworld.com/homevillage 1
 
1.4%
www.namjejuhome.or.kr 1
 
1.4%
www.hwabang.org 1
 
1.4%
www.boeunsilver.com 1
 
1.4%
http://www.tegowon.kr 1
 
1.4%
Other values (61) 61
83.6%
2023-12-10T21:04:18.802254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 203
14.3%
. 181
12.7%
o 125
 
8.8%
r 115
 
8.1%
n 86
 
6.1%
e 65
 
4.6%
k 59
 
4.2%
a 53
 
3.7%
h 49
 
3.5%
c 46
 
3.2%
Other values (30) 438
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1163
81.9%
Other Punctuation 239
 
16.8%
Decimal Number 9
 
0.6%
Other Letter 6
 
0.4%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 203
17.5%
o 125
 
10.7%
r 115
 
9.9%
n 86
 
7.4%
e 65
 
5.6%
k 59
 
5.1%
a 53
 
4.6%
h 49
 
4.2%
c 46
 
4.0%
t 45
 
3.9%
Other values (13) 317
27.3%
Decimal Number
ValueCountFrequency (%)
8 2
22.2%
5 2
22.2%
9 1
11.1%
4 1
11.1%
0 1
11.1%
3 1
11.1%
1 1
11.1%
Other Letter
ValueCountFrequency (%)
남 1
16.7%
원 1
16.7%
소 1
16.7%
망 1
16.7%
의 1
16.7%
문 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 181
75.7%
/ 42
 
17.6%
: 16
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1163
81.9%
Common 251
 
17.7%
Hangul 6
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 203
17.5%
o 125
 
10.7%
r 115
 
9.9%
n 86
 
7.4%
e 65
 
5.6%
k 59
 
5.1%
a 53
 
4.6%
h 49
 
4.2%
c 46
 
4.0%
t 45
 
3.9%
Other values (13) 317
27.3%
Common
ValueCountFrequency (%)
. 181
72.1%
/ 42
 
16.7%
: 16
 
6.4%
- 3
 
1.2%
8 2
 
0.8%
5 2
 
0.8%
9 1
 
0.4%
4 1
 
0.4%
0 1
 
0.4%
3 1
 
0.4%
Hangul
ValueCountFrequency (%)
남 1
16.7%
원 1
16.7%
소 1
16.7%
망 1
16.7%
의 1
16.7%
문 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1414
99.6%
Hangul 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 203
14.4%
. 181
12.8%
o 125
 
8.8%
r 115
 
8.1%
n 86
 
6.1%
e 65
 
4.6%
k 59
 
4.2%
a 53
 
3.7%
h 49
 
3.5%
c 46
 
3.3%
Other values (24) 432
30.6%
Hangul
ValueCountFrequency (%)
남 1
16.7%
원 1
16.7%
소 1
16.7%
망 1
16.7%
의 1
16.7%
문 1
16.7%

시설주소
Text

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:04:19.175308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length16.52
Min length11

Characters and Unicode

Total characters1652
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)90.0%

Sample

1st row서울특별시 중랑구 신내로
2nd row서울특별시 종로구 구기동
3rd row서울특별시 종로구 비봉길
4th row서울특별시 노원구 동일로248길
5th row서울특별시 강서구 강서로45다길
ValueCountFrequency (%)
경기도 20
 
5.7%
강원도 18
 
5.1%
제주특별자치도 13
 
3.7%
제주시 12
 
3.4%
서울특별시 10
 
2.8%
전라남도 6
 
1.7%
충청북도 6
 
1.7%
전라북도 6
 
1.7%
서구 5
 
1.4%
울산광역시 4
 
1.1%
Other values (205) 252
71.6%
2023-12-10T21:04:19.784979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
 
19.6%
시 83
 
5.0%
도 78
 
4.7%
로 68
 
4.1%
길 59
 
3.6%
구 39
 
2.4%
주 38
 
2.3%
면 31
 
1.9%
강 29
 
1.8%
원 28
 
1.7%
Other values (178) 875
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
76.3%
Space Separator 324
 
19.6%
Decimal Number 68
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 83
 
6.6%
도 78
 
6.2%
로 68
 
5.4%
길 59
 
4.7%
구 39
 
3.1%
주 38
 
3.0%
면 31
 
2.5%
강 29
 
2.3%
원 28
 
2.2%
남 27
 
2.1%
Other values (167) 780
61.9%
Decimal Number
ValueCountFrequency (%)
1 13
19.1%
2 9
13.2%
4 8
11.8%
8 7
10.3%
3 7
10.3%
9 6
8.8%
0 5
 
7.4%
6 5
 
7.4%
5 5
 
7.4%
7 3
 
4.4%
Space Separator
ValueCountFrequency (%)
324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
76.3%
Common 392
 
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 83
 
6.6%
도 78
 
6.2%
로 68
 
5.4%
길 59
 
4.7%
구 39
 
3.1%
주 38
 
3.0%
면 31
 
2.5%
강 29
 
2.3%
원 28
 
2.2%
남 27
 
2.1%
Other values (167) 780
61.9%
Common
ValueCountFrequency (%)
324
82.7%
1 13
 
3.3%
2 9
 
2.3%
4 8
 
2.0%
8 7
 
1.8%
3 7
 
1.8%
9 6
 
1.5%
0 5
 
1.3%
6 5
 
1.3%
5 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
76.3%
ASCII 392
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
82.7%
1 13
 
3.3%
2 9
 
2.3%
4 8
 
2.0%
8 7
 
1.8%
3 7
 
1.8%
9 6
 
1.5%
0 5
 
1.3%
6 5
 
1.3%
5 5
 
1.3%
Hangul
ValueCountFrequency (%)
시 83
 
6.6%
도 78
 
6.2%
로 68
 
5.4%
길 59
 
4.7%
구 39
 
3.1%
주 38
 
3.0%
면 31
 
2.5%
강 29
 
2.3%
원 28
 
2.2%
남 27
 
2.1%
Other values (167) 780
61.9%

시설전화번호
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:04:20.170553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.92
Min length10

Characters and Unicode

Total characters1192
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

Unique96 ?
Unique (%)96.0%

Sample

1st row02-490-2600
2nd row02-379-9232
3rd row02-379-9232
4th row02-939-0735
5th row02-2602-2443
ValueCountFrequency (%)
02-379-9232 2
 
2.0%
033-747-8080 2
 
2.0%
032-831-6075 1
 
1.0%
064-726-5225 1
 
1.0%
033-461-9395 1
 
1.0%
031-643-6776 1
 
1.0%
02-875-2770 1
 
1.0%
02-804-6141 1
 
1.0%
02-441-8886 1
 
1.0%
041-745-4900 1
 
1.0%
Other values (88) 88
88.0%
2023-12-10T21:04:20.738576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
16.6%
0 182
15.3%
3 154
12.9%
2 99
8.3%
4 91
7.6%
6 87
7.3%
5 87
7.3%
1 84
7.0%
7 77
 
6.5%
9 68
 
5.7%
Other values (2) 65
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 993
83.3%
Dash Punctuation 198
 
16.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 182
18.3%
3 154
15.5%
2 99
10.0%
4 91
9.2%
6 87
8.8%
5 87
8.8%
1 84
8.5%
7 77
7.8%
9 68
 
6.8%
8 64
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 198
16.6%
0 182
15.3%
3 154
12.9%
2 99
8.3%
4 91
7.6%
6 87
7.3%
5 87
7.3%
1 84
7.0%
7 77
 
6.5%
9 68
 
5.7%
Other values (2) 65
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
16.6%
0 182
15.3%
3 154
12.9%
2 99
8.3%
4 91
7.6%
6 87
7.3%
5 87
7.3%
1 84
7.0%
7 77
 
6.5%
9 68
 
5.7%
Other values (2) 65
 
5.5%

업종분류코드
Categorical

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
37 
2
13 
비영리
11 
사회복지
10 
서비스
5 
Other values (16)
24 

Length

Max length18
Median length16
Mean length4.05
Min length1

Unique

Unique9 ?
Unique (%)9.0%

Sample

1st row비영리
2nd row비영리
3rd row<NA>
4th row사회복지 서비스업
5th row2

Common Values

ValueCountFrequency (%)
<NA> 37
37.0%
2 13
 
13.0%
비영리 11
 
11.0%
사회복지 10
 
10.0%
서비스 5
 
5.0%
비영리법인 3
 
3.0%
노인복지시설 2
 
2.0%
사회복지서비스업 2
 
2.0%
노인의료복지시설 2
 
2.0%
사회사업 2
 
2.0%
Other values (11) 13
 
13.0%

Length

2023-12-10T21:04:20.975571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 37
36.6%
2 14
 
13.9%
비영리 11
 
10.9%
사회복지 11
 
10.9%
서비스 5
 
5.0%
비영리법인 3
 
3.0%
노인요양 2
 
2.0%
노인요양시설 2
 
2.0%
보건업 2
 
2.0%
사회사업 2
 
2.0%
Other values (9) 12
 
11.9%

시설종류코드
Categorical

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
36 
사회복지
14 
노인복지
11 
노인요양원
 
3
노인요양시설
 
3
Other values (24)
33 

Length

Max length14
Median length4
Mean length4.49
Min length2

Unique

Unique16 ?
Unique (%)16.0%

Sample

1st row사회복지
2nd row양로원
3rd row<NA>
4th row노인 양로 복지시설 운영업
5th row사회복지

Common Values

ValueCountFrequency (%)
<NA> 36
36.0%
사회복지 14
 
14.0%
노인복지 11
 
11.0%
노인요양원 3
 
3.0%
노인요양시설 3
 
3.0%
노인 3
 
3.0%
양로원 2
 
2.0%
비영리 2
 
2.0%
노인요양 2
 
2.0%
노인전문요양시설 2
 
2.0%
Other values (19) 22
22.0%

Length

2023-12-10T21:04:21.183760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 36
35.0%
사회복지 14
 
13.6%
노인복지 11
 
10.7%
노인 4
 
3.9%
노인요양원 3
 
2.9%
노인요양시설 3
 
2.9%
장기요양기관 2
 
1.9%
복지시설 2
 
1.9%
양로 2
 
1.9%
사회복지시설 2
 
1.9%
Other values (19) 24
23.3%

미세먼지 수치
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.0819
Minimum12.259
Maximum27.225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:04:21.387723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.259
5-th percentile15.7405
Q118.333
median19.002
Q319.641
95-th percentile23.13885
Maximum27.225
Range14.966
Interquartile range (IQR)1.308

Descriptive statistics

Standard deviation2.3098084
Coefficient of variation (CV)0.12104709
Kurtosis3.3729749
Mean19.0819
Median Absolute Deviation (MAD)0.669
Skewness0.35345478
Sum1908.19
Variance5.335215
MonotonicityNot monotonic
2023-12-10T21:04:21.683408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.002 14
 
14.0%
18.911 3
 
3.0%
18.333 3
 
3.0%
16.941 2
 
2.0%
19.172 2
 
2.0%
18.232 2
 
2.0%
18.819 2
 
2.0%
12.642 2
 
2.0%
21.335 2
 
2.0%
17.55 2
 
2.0%
Other values (63) 66
66.0%
ValueCountFrequency (%)
12.259 1
1.0%
12.642 2
2.0%
14.432 1
1.0%
15.161 1
1.0%
15.771 1
1.0%
16.195 2
2.0%
16.219 1
1.0%
16.837 1
1.0%
16.941 2
2.0%
17.438 1
1.0%
ValueCountFrequency (%)
27.225 1
1.0%
26.588 1
1.0%
24.979 1
1.0%
23.959 1
1.0%
23.345 1
1.0%
23.128 1
1.0%
22.696 1
1.0%
21.731 1
1.0%
21.727 1
1.0%
21.519 1
1.0%

대기질 지수
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9529
Minimum0.612
Maximum1.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:04:21.894106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.612
5-th percentile0.78645
Q10.916
median0.949
Q30.98125
95-th percentile1.15555
Maximum1.36
Range0.748
Interquartile range (IQR)0.06525

Descriptive statistics

Standard deviation0.11537024
Coefficient of variation (CV)0.12107277
Kurtosis3.3796134
Mean0.9529
Median Absolute Deviation (MAD)0.033
Skewness0.35322795
Sum95.29
Variance0.013310293
MonotonicityNot monotonic
2023-12-10T21:04:22.126869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.949 17
 
17.0%
0.944 4
 
4.0%
0.957 3
 
3.0%
0.94 3
 
3.0%
0.93 3
 
3.0%
0.916 3
 
3.0%
0.876 3
 
3.0%
0.972 2
 
2.0%
1.085 2
 
2.0%
0.91 2
 
2.0%
Other values (52) 58
58.0%
ValueCountFrequency (%)
0.612 1
1.0%
0.631 2
2.0%
0.721 1
1.0%
0.757 1
1.0%
0.788 1
1.0%
0.809 2
2.0%
0.81 1
1.0%
0.841 1
1.0%
0.846 2
2.0%
0.871 1
1.0%
ValueCountFrequency (%)
1.36 1
1.0%
1.328 1
1.0%
1.247 1
1.0%
1.196 1
1.0%
1.166 1
1.0%
1.155 1
1.0%
1.133 1
1.0%
1.085 2
2.0%
1.075 1
1.0%
1.073 1
1.0%

Interactions

2023-12-10T21:04:15.129890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:04:14.467420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:04:15.303233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:04:14.626431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:04:22.287487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설코드시설명업태명홈페이지주소시설주소시설전화번호업종분류코드시설종류코드미세먼지 수치대기질 지수
시설코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설명1.0001.0001.0000.9950.9970.9970.7830.9690.9700.970
업태명1.0001.0001.0001.0001.0001.0000.7020.7330.5750.575
홈페이지주소1.0000.9951.0001.0000.9980.9940.0000.9411.0001.000
시설주소1.0000.9971.0000.9981.0000.9910.0000.8851.0001.000
시설전화번호1.0000.9971.0000.9940.9911.0001.0001.0001.0001.000
업종분류코드1.0000.7830.7020.0000.0001.0001.0000.8450.0000.000
시설종류코드1.0000.9690.7330.9410.8851.0000.8451.0000.6540.654
미세먼지 수치1.0000.9700.5751.0001.0001.0000.0000.6541.0001.000
대기질 지수1.0000.9700.5751.0001.0001.0000.0000.6541.0001.000
2023-12-10T21:04:22.490437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종분류코드시설종류코드업태명
업종분류코드1.0000.3470.390
시설종류코드0.3471.0000.319
업태명0.3900.3191.000
2023-12-10T21:04:22.641816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
미세먼지 수치대기질 지수업태명업종분류코드시설종류코드
미세먼지 수치1.0000.9990.2590.0000.236
대기질 지수0.9991.0000.2590.0000.236
업태명0.2590.2591.0000.3900.319
업종분류코드0.0000.0000.3901.0000.347
시설종류코드0.2360.2360.3190.3471.000

Missing values

2023-12-10T21:04:15.520597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:04:15.745026image/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

시설코드시설명업태명홈페이지주소시설주소시설전화번호업종분류코드시설종류코드미세먼지 수치대기질 지수
0A0001서울꽃동네신내노인요양원<NA><NA>서울특별시 중랑구 신내로02-490-2600비영리사회복지21.5191.075
1A0002청운양로원<NA>www.chungwoon.or.kr서울특별시 종로구 구기동02-379-9232비영리양로원18.2320.91
2A0003청운노인요양원<NA>http://www.chungwoon.or.kr서울특별시 종로구 비봉길02-379-9232<NA><NA>18.2320.91
3A0004홍파양로원<NA>silver.hongpa.or.kr서울특별시 노원구 동일로248길02-939-0735사회복지 서비스업노인 양로 복지시설 운영업16.9410.846
4A0007천사노인요양원비영리<NA>서울특별시 강서구 강서로45다길02-2602-24432사회복지20.5851.028
5A0009녹동어울림비영리<NA>전라남도 고흥군 도양읍 신정중앙길061-842-1002<NA>사회복지19.0020.949
6A0011용인노인요양원비영리www.yongin-lotusvill.or.kr경기도 용인시 처인구 백암면 근삼로031-334-3677비영리노인복지18.6690.932
7A0012참사랑전문요양원<NA>www.ph.or.kr경기도 이천시 신둔면 황무로338번길031-638-0650<NA><NA>19.010.949
8A0013성안나의집<NA><NA>인천광역시 강화군 길상면 전등사로032-937-19352사회복지19.0020.949
9A0015인천신생요양원<NA>www.shinseng.or.kr인천광역시 서구 드림로032-566-0580<NA><NA>18.8070.939
시설코드시설명업태명홈페이지주소시설주소시설전화번호업종분류코드시설종류코드미세먼지 수치대기질 지수
90A0133생수실버하우스<NA><NA>인천광역시 서구 서달로37번길032-575-2047<NA><NA>23.1281.155
91A0135춘천시립양로원<NA>http://www.ccsilver.co.kr강원도 춘천시 스무숲길033-262-0303노인주거복지시설노인복지시설18.8190.94
92A0136기쁨의집<NA><NA>경기도 파주시 광탄면 보광로610번길031-946-1117<NA><NA>19.0420.951
93A0139예가노인전문요양원<NA>www.yaegawon.com강원도 영월군 남면 신선길033-375-9988<NA><NA>20.2461.011
94A0140새별이요양원<NA>www.silverhouse.pe.kr강원도 정선군 임계면 새벼리길033-562-89952노인요양공동생활가정19.0020.949
95A0142옥천꽃동네성모노인요양원<NA><NA>충청북도 옥천군 옥천읍 매화길043-733-7505비영리복지사업14.4320.721
96A0143꽃동네노인요양원<NA>www.kkotnoin.or.kr충청북도 음성군 맹동면 꽃동네길043-879-0434노인복지시설장기요양기관19.7710.987
97A0145보은의집<NA>www.boeunsilver.com충청북도 보은군 내북면 남부로043-544-1123<NA><NA>19.0020.949
98A0148성가정요양원<NA><NA>강원도 원주시 문막읍 귀문로033-732-76892사회복지18.3860.918
99A0149양지노인마을<NA>www.yang-ji.net강원도 춘천시 신북읍 은고개길033-243-8795<NA><NA>18.9920.948