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

복지시설미세먼지수치 is highly overall correlated with 복지시설미세먼지지수High correlation
복지시설미세먼지지수 is highly overall correlated with 복지시설미세먼지수치High correlation
업태명 is highly imbalanced (55.2%)Imbalance
복지시설홈페이지주소 has 27 (27.0%) missing valuesMissing
복지시설번호 has unique valuesUnique

Reproduction

Analysis started2024-04-17 12:42:57.205453
Analysis finished2024-04-17 12:43:00.348705
Duration3.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

복지시설번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:43:00.542504image/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%
a0085 1
 
1.0%
a0103 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%
Other values (90) 90
90.0%
2024-04-17T21:43:00.915045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 191
38.2%
A 100
20.0%
1 55
 
11.0%
3 28
 
5.6%
2 23
 
4.6%
4 21
 
4.2%
9 19
 
3.8%
5 19
 
3.8%
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 (%)
0 191
47.8%
1 55
 
13.8%
3 28
 
7.0%
2 23
 
5.8%
4 21
 
5.2%
9 19
 
4.8%
5 19
 
4.8%
7 16
 
4.0%
6 15
 
3.8%
8 13
 
3.2%
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 (%)
0 191
47.8%
1 55
 
13.8%
3 28
 
7.0%
2 23
 
5.8%
4 21
 
5.2%
9 19
 
4.8%
5 19
 
4.8%
7 16
 
4.0%
6 15
 
3.8%
8 13
 
3.2%
Latin
ValueCountFrequency (%)
A 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 191
38.2%
A 100
20.0%
1 55
 
11.0%
3 28
 
5.6%
2 23
 
4.6%
4 21
 
4.2%
9 19
 
3.8%
5 19
 
3.8%
7 16
 
3.2%
6 15
 
3.0%

복지시설명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:43:01.103765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.82
Min length3

Characters and Unicode

Total characters682
Distinct characters152
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 (%)
영락양로원 2
 
1.8%
집 2
 
1.8%
보은의집 2
 
1.8%
기쁨이가득한집 1
 
0.9%
인영실버 1
 
0.9%
노인요양센터 1
 
0.9%
시립고덕양로원 1
 
0.9%
상애노인전문요양원 1
 
0.9%
상애원 1
 
0.9%
고향의 1
 
0.9%
Other values (96) 96
88.1%
2024-04-17T21:43:01.399664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 69
 
10.1%
양 60
 
8.8%
요 47
 
6.9%
인 39
 
5.7%
노 33
 
4.8%
의 14
 
2.1%
집 14
 
2.1%
로 13
 
1.9%
시 12
 
1.8%
주 11
 
1.6%
Other values (142) 370
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
98.4%
Space Separator 9
 
1.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 69
 
10.3%
양 60
 
8.9%
요 47
 
7.0%
인 39
 
5.8%
노 33
 
4.9%
의 14
 
2.1%
집 14
 
2.1%
로 13
 
1.9%
시 12
 
1.8%
주 11
 
1.6%
Other values (139) 359
53.5%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
98.4%
Common 11
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 69
 
10.3%
양 60
 
8.9%
요 47
 
7.0%
인 39
 
5.8%
노 33
 
4.9%
의 14
 
2.1%
집 14
 
2.1%
로 13
 
1.9%
시 12
 
1.8%
주 11
 
1.6%
Other values (139) 359
53.5%
Common
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
98.4%
ASCII 11
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 69
 
10.3%
양 60
 
8.9%
요 47
 
7.0%
인 39
 
5.8%
노 33
 
4.9%
의 14
 
2.1%
집 14
 
2.1%
로 13
 
1.9%
시 12
 
1.8%
주 11
 
1.6%
Other values (139) 359
53.5%
ASCII
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%

업태명
Categorical

IMBALANCE 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
72 
비영리
12 
서비스
 
3
보건업
 
3
사회복지
 
2
Other values (8)
8 

Length

Max length6
Median length4
Mean length3.82
Min length2

Unique

Unique8 ?
Unique (%)8.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 72
72.0%
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 (3) 3
 
3.0%

Length

2024-04-17T21:43:01.540414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 72
72.0%
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 (3) 3
 
3.0%

복지시설홈페이지주소
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing27
Missing (%)27.0%
Memory size932.0 B
2024-04-17T21:43:01.750608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length19.356164
Min length10

Characters and Unicode

Total characters1413
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.boeunsilver.com 1
 
1.4%
http://www.tegowon.kr 1
 
1.4%
http://sangaewon.com 1
 
1.4%
sangaewon.com 1
 
1.4%
www.cyworld.com/homevillage 1
 
1.4%
www.namjejuhome.or.kr 1
 
1.4%
www.yang-ji.net 1
 
1.4%
www.jjwelfare.or.kr 1
 
1.4%
Other values (61) 61
83.6%
2024-04-17T21:43:02.059784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 202
14.3%
. 181
12.8%
o 124
 
8.8%
r 114
 
8.1%
n 86
 
6.1%
e 62
 
4.4%
k 60
 
4.2%
a 54
 
3.8%
h 48
 
3.4%
c 47
 
3.3%
Other values (30) 435
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1158
82.0%
Other Punctuation 237
 
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 202
17.4%
o 124
 
10.7%
r 114
 
9.8%
n 86
 
7.4%
e 62
 
5.4%
k 60
 
5.2%
a 54
 
4.7%
h 48
 
4.1%
c 47
 
4.1%
t 45
 
3.9%
Other values (13) 316
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
76.4%
/ 40
 
16.9%
: 16
 
6.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1158
82.0%
Common 249
 
17.6%
Hangul 6
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 202
17.4%
o 124
 
10.7%
r 114
 
9.8%
n 86
 
7.4%
e 62
 
5.4%
k 60
 
5.2%
a 54
 
4.7%
h 48
 
4.1%
c 47
 
4.1%
t 45
 
3.9%
Other values (13) 316
27.3%
Common
ValueCountFrequency (%)
. 181
72.7%
/ 40
 
16.1%
: 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 1407
99.6%
Hangul 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 202
14.4%
. 181
12.9%
o 124
 
8.8%
r 114
 
8.1%
n 86
 
6.1%
e 62
 
4.4%
k 60
 
4.3%
a 54
 
3.8%
h 48
 
3.4%
c 47
 
3.3%
Other values (24) 429
30.5%
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%

복지시설주소
Text

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:43:02.321820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length16.45
Min length11

Characters and Unicode

Total characters1645
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 19
 
5.4%
강원도 18
 
5.1%
제주특별자치도 13
 
3.7%
제주시 12
 
3.4%
서울특별시 10
 
2.8%
전라북도 6
 
1.7%
충청북도 6
 
1.7%
전라남도 5
 
1.4%
서구 5
 
1.4%
충청남도 4
 
1.1%
Other values (207) 255
72.2%
2024-04-17T21:43:02.672673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
19.6%
시 81
 
4.9%
도 78
 
4.7%
로 67
 
4.1%
길 57
 
3.5%
구 39
 
2.4%
주 38
 
2.3%
면 32
 
1.9%
강 29
 
1.8%
군 29
 
1.8%
Other values (178) 872
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1259
76.5%
Space Separator 323
 
19.6%
Decimal Number 63
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 81
 
6.4%
도 78
 
6.2%
로 67
 
5.3%
길 57
 
4.5%
구 39
 
3.1%
주 38
 
3.0%
면 32
 
2.5%
강 29
 
2.3%
군 29
 
2.3%
원 28
 
2.2%
Other values (167) 781
62.0%
Decimal Number
ValueCountFrequency (%)
1 12
19.0%
2 11
17.5%
4 9
14.3%
8 7
11.1%
9 6
9.5%
3 6
9.5%
6 4
 
6.3%
5 4
 
6.3%
0 3
 
4.8%
7 1
 
1.6%
Space Separator
ValueCountFrequency (%)
323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1259
76.5%
Common 386
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 81
 
6.4%
도 78
 
6.2%
로 67
 
5.3%
길 57
 
4.5%
구 39
 
3.1%
주 38
 
3.0%
면 32
 
2.5%
강 29
 
2.3%
군 29
 
2.3%
원 28
 
2.2%
Other values (167) 781
62.0%
Common
ValueCountFrequency (%)
323
83.7%
1 12
 
3.1%
2 11
 
2.8%
4 9
 
2.3%
8 7
 
1.8%
9 6
 
1.6%
3 6
 
1.6%
6 4
 
1.0%
5 4
 
1.0%
0 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1259
76.5%
ASCII 386
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
83.7%
1 12
 
3.1%
2 11
 
2.8%
4 9
 
2.3%
8 7
 
1.8%
9 6
 
1.6%
3 6
 
1.6%
6 4
 
1.0%
5 4
 
1.0%
0 3
 
0.8%
Hangul
ValueCountFrequency (%)
시 81
 
6.4%
도 78
 
6.2%
로 67
 
5.3%
길 57
 
4.5%
구 39
 
3.1%
주 38
 
3.0%
면 32
 
2.5%
강 29
 
2.3%
군 29
 
2.3%
원 28
 
2.2%
Other values (167) 781
62.0%

복지시설전화번호
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-17T21:43:02.892199image/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%
031-353-8214 1
 
1.0%
063-252-2539 1
 
1.0%
064-726-5225 1
 
1.0%
031-339-9993 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%
Other values (88) 88
88.0%
2024-04-17T21:43:03.193194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
16.6%
0 183
15.4%
3 156
13.1%
2 94
7.9%
4 92
7.7%
6 87
7.3%
1 87
7.3%
5 86
7.2%
7 77
 
6.5%
9 67
 
5.6%
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 (%)
0 183
18.4%
3 156
15.7%
2 94
9.5%
4 92
9.3%
6 87
8.8%
1 87
8.8%
5 86
8.7%
7 77
7.8%
9 67
 
6.7%
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%
0 183
15.4%
3 156
13.1%
2 94
7.9%
4 92
7.7%
6 87
7.3%
1 87
7.3%
5 86
7.2%
7 77
 
6.5%
9 67
 
5.6%
Other values (2) 65
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
16.6%
0 183
15.4%
3 156
13.1%
2 94
7.9%
4 92
7.7%
6 87
7.3%
1 87
7.3%
5 86
7.2%
7 77
 
6.5%
9 67
 
5.6%
Other values (2) 65
 
5.5%

업종명
Categorical

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
28 
비영리
12 
2
12 
사회복지
11 
서비스
5 
Other values (19)
32 

Length

Max length18
Median length14
Mean length4.24
Min length1

Unique

Unique12 ?
Unique (%)12.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
28.0%
비영리 12
12.0%
2 12
12.0%
사회복지 11
 
11.0%
서비스 5
 
5.0%
비영리법인 4
 
4.0%
노인복지시설 4
 
4.0%
노인요양시설 3
 
3.0%
노인의료복지시설 3
 
3.0%
사회사업 2
 
2.0%
Other values (14) 16
16.0%

Length

2024-04-17T21:43:03.304987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 28
27.7%
2 13
12.9%
비영리 12
11.9%
사회복지 12
11.9%
서비스 5
 
5.0%
비영리법인 4
 
4.0%
노인복지시설 4
 
4.0%
노인요양시설 3
 
3.0%
노인의료복지시설 3
 
3.0%
노인요양 2
 
2.0%
Other values (12) 15
14.9%

시설종류명
Categorical

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
26 
사회복지
14 
노인복지
13 
노인요양시설
7 
노인요양
 
3
Other values (27)
37 

Length

Max length18
Median length4
Mean length4.8
Min length2

Unique

Unique20 ?
Unique (%)20.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
26.0%
사회복지 14
14.0%
노인복지 13
13.0%
노인요양시설 7
 
7.0%
노인요양 3
 
3.0%
노인복지시설 3
 
3.0%
노인요양원 3
 
3.0%
노인 3
 
3.0%
노인전문요양시설 2
 
2.0%
사회복지시설 2
 
2.0%
Other values (22) 24
24.0%

Length

2024-04-17T21:43:03.410221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 26
25.2%
사회복지 14
13.6%
노인복지 13
12.6%
노인요양시설 7
 
6.8%
노인 4
 
3.9%
노인요양 3
 
2.9%
노인복지시설 3
 
2.9%
노인요양원 3
 
2.9%
양로 2
 
1.9%
복지시설 2
 
1.9%
Other values (22) 26
25.2%

복지시설미세먼지수치
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.918862
Minimum11.756294
Maximum23.120268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:43:03.511260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.756294
5-th percentile12.387731
Q114.83814
median16.134805
Q316.522724
95-th percentile18.691608
Maximum23.120268
Range11.363974
Interquartile range (IQR)1.6845841

Descriptive statistics

Standard deviation1.860328
Coefficient of variation (CV)0.11686312
Kurtosis3.2846733
Mean15.918862
Median Absolute Deviation (MAD)0.56764564
Skewness0.61501142
Sum1591.8862
Variance3.4608201
MonotonicityNot monotonic
2024-04-17T21:43:03.618609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.52272429906542 20
 
20.0%
14.838140186915888 4
 
4.0%
16.134805295950155 3
 
3.0%
15.92557632398754 3
 
3.0%
11.945881619937694 3
 
3.0%
14.742680685358255 3
 
3.0%
14.245457943925231 2
 
2.0%
16.0801261682243 2
 
2.0%
15.599247663551402 2
 
2.0%
16.310158878504673 2
 
2.0%
Other values (53) 56
56.0%
ValueCountFrequency (%)
11.756294392523364 1
 
1.0%
11.847926791277258 1
 
1.0%
11.945881619937694 3
3.0%
12.41098598130841 1
 
1.0%
12.484353582554515 1
 
1.0%
12.789584112149532 1
 
1.0%
13.50514953271028 1
 
1.0%
13.614638629283489 1
 
1.0%
13.74920093457944 1
 
1.0%
14.245457943925231 2
2.0%
ValueCountFrequency (%)
23.120267912772587 1
1.0%
22.140641744548287 1
1.0%
21.0528753894081 1
1.0%
19.423193146417447 1
1.0%
19.007334890965733 1
1.0%
18.674990654205608 1
1.0%
18.22233021806853 1
1.0%
18.175247663551403 1
1.0%
18.05718535825545 1
1.0%
17.378062305295952 1
1.0%

복지시설미세먼지지수
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99646062
Minimum0.73589962
Maximum1.4472414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:43:03.719421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.73589962
5-th percentile0.77542515
Q10.92881152
median1.0099779
Q31.0342601
95-th percentile1.170024
Maximum1.4472414
Range0.71134181
Interquartile range (IQR)0.1054486

Descriptive statistics

Standard deviation0.1164495
Coefficient of variation (CV)0.11686312
Kurtosis3.2846733
Mean0.99646062
Median Absolute Deviation (MAD)0.035532473
Skewness0.61501142
Sum99.646062
Variance0.013560487
MonotonicityNot monotonic
2024-04-17T21:43:03.823253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.034260123515947 20
 
20.0%
0.9288115219192158 4
 
4.0%
1.0099778593557398 3
 
3.0%
0.9968809161114948 3
 
3.0%
0.7477670616607993 3
 
3.0%
0.9228361177373914 3
 
3.0%
0.8917118524733063 2
 
2.0%
1.0065551525204823 2
 
2.0%
0.9764539747342448 2
 
2.0%
1.020954331193502 2
 
2.0%
Other values (53) 56
56.0%
ValueCountFrequency (%)
0.7358996174250033 1
 
1.0%
0.7416354594288928 1
 
1.0%
0.7477670616607993 3
3.0%
0.7768808376660246 1
 
1.0%
0.7814733723445314 1
 
1.0%
0.8005796504331657 1
 
1.0%
0.8453713425813402 1
 
1.0%
0.8522249464117848 1
 
1.0%
0.8606480383896526 1
 
1.0%
0.8917118524733063 2
2.0%
ValueCountFrequency (%)
1.4472414303093175 1
1.0%
1.385920532895056 1
1.0%
1.3178304682991455 1
1.0%
1.215818516309933 1
1.0%
1.1897873604990876 1
1.0%
1.1689838667688932 1
1.0%
1.1406490334740962 1
1.0%
1.1377018434242634 1
1.0%
1.1303115891146351 1
1.0%
1.0878010515106062 1
1.0%

Interactions

2024-04-17T21:43:00.022198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:42:59.815603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:43:00.094926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T21:42:59.953408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T21:43:03.902812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지시설번호복지시설명업태명복지시설홈페이지주소복지시설주소복지시설전화번호업종명시설종류명복지시설미세먼지수치복지시설미세먼지지수
복지시설번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
복지시설명1.0001.0001.0000.9950.9970.9970.8350.9700.0000.000
업태명1.0001.0001.0001.0000.8921.0000.7950.7830.6730.673
복지시설홈페이지주소1.0000.9951.0001.0000.9970.9940.7940.8241.0001.000
복지시설주소1.0000.9970.8920.9971.0000.9990.7460.9501.0001.000
복지시설전화번호1.0000.9971.0000.9940.9991.0001.0001.0000.9790.979
업종명1.0000.8350.7950.7940.7461.0001.0000.9010.6740.674
시설종류명1.0000.9700.7830.8240.9501.0000.9011.0000.8680.868
복지시설미세먼지수치1.0000.0000.6731.0001.0000.9790.6740.8681.0001.000
복지시설미세먼지지수1.0000.0000.6731.0001.0000.9790.6740.8681.0001.000
2024-04-17T21:43:04.005109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명시설종류명업태명
업종명1.0000.4180.472
시설종류명0.4181.0000.350
업태명0.4720.3501.000
2024-04-17T21:43:04.070371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지시설미세먼지수치복지시설미세먼지지수업태명업종명시설종류명
복지시설미세먼지수치1.0001.0000.3610.2970.455
복지시설미세먼지지수1.0001.0000.3610.2970.455
업태명0.3610.3611.0000.4720.350
업종명0.2970.2970.4721.0000.418
시설종류명0.4550.4550.3500.4181.000

Missing values

2024-04-17T21:43:00.188940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T21:43:00.299294image/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

복지시설번호복지시설명업태명복지시설홈페이지주소복지시설주소복지시설전화번호업종명시설종류명복지시설미세먼지수치복지시설미세먼지지수
0A0001서울꽃동네신내노인요양원<NA><NA>서울특별시 중랑구 신내로02-490-2600비영리사회복지15.6730620.981074
1A0002청운양로원<NA>www.chungwoon.or.kr서울특별시 종로구 구기동02-379-9232비영리양로원16.4216451.027933
2A0003청운노인요양원<NA>http://www.chungwoon.or.kr서울특별시 종로구 비봉길02-379-9232<NA><NA>12.4109860.776881
3A0004홍파양로원<NA>silver.hongpa.or.kr서울특별시 노원구 동일로248길02-939-0735사회복지 서비스업노인 양로 복지시설 운영업14.7192660.92137
4A0007천사노인요양원비영리<NA>서울특별시 강서구 강서로45다길02-2602-24432사회복지14.838140.928812
5A0009녹동어울림비영리<NA>전라남도 고흥군 도양읍 신정중앙길061-842-1002<NA>사회복지14.838140.928812
6A0011용인노인요양원비영리www.yongin-lotusvill.or.kr경기도 용인시 처인구 백암면 근삼로031-334-3677비영리노인복지16.5227241.03426
7A0012참사랑전문요양원<NA>www.ph.or.kr경기도 이천시 신둔면 황무로338번길031-638-0650<NA><NA>11.9458820.747767
8A0013성안나의집<NA><NA>인천광역시 강화군 길상면 전등사로032-937-19352사회복지14.838140.928812
9A0015인천신생요양원<NA>www.shinseng.or.kr인천광역시 서구 드림로032-566-0580<NA><NA>15.8529890.992337
복지시설번호복지시설명업태명복지시설홈페이지주소복지시설주소복지시설전화번호업종명시설종류명복지시설미세먼지수치복지시설미세먼지지수
90A0136기쁨의집<NA><NA>경기도 파주시 광탄면 보광로610번길031-946-1117<NA><NA>16.2582341.017704
91A0139예가노인전문요양원<NA>www.yaegawon.com강원도 영월군 남면 신선길033-375-9988비영리법인노인요양시설16.5227241.03426
92A0140새별이요양원<NA>www.silverhouse.pe.kr강원도 정선군 임계면 새벼리길033-562-89952노인요양공동생활가정16.5227241.03426
93A0142옥천꽃동네성모노인요양원<NA><NA>충청북도 옥천군 옥천읍 매화길043-733-7505비영리복지사업14.838140.928812
94A0143꽃동네노인요양원<NA>www.kkotnoin.or.kr충청북도 음성군 맹동면 꽃동네길043-879-0434노인복지시설장기요양기관16.1390091.010241
95A0145보은의집<NA>www.boeunsilver.com충청북도 보은군 내북면 남부로043-544-1123노인복지사업노인요양시설16.5227241.03426
96A0148성가정요양원<NA><NA>강원도 원주시 문막읍 귀문로033-732-76892사회복지16.5227241.03426
97A0149양지노인마을<NA>www.yang-ji.net강원도 춘천시 신북읍 은고개길033-243-8795<NA><NA>11.9458820.747767
98A0151만수노인복지원사회복지법인www.mansubokji.com충청남도 부여군 외산면 외산로041-836-1447<NA>노인요양시설14.7426810.922836
99A0152금매복지원<NA><NA>충청남도 서천군 마서면 송내리041-956-0893사회복지노인복지16.5181641.033975