Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells31
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory92.3 B

Variable types

Text5
Categorical3
Numeric3

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=80037f90-3072-11eb-bc79-3b11eb915d6d

Alerts

홈페이지주소 has 31 (31.0%) missing valuesMissing
시설코드 has unique valuesUnique

Reproduction

Analysis started2024-04-17 17:29:49.032988
Analysis finished2024-04-17 17:29:50.976766
Duration1.94 second
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
2024-04-18T02:29:51.168470image/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%
a0145 1
 
1.0%
a0175 1
 
1.0%
a0172 1
 
1.0%
a0170 1
 
1.0%
a0166 1
 
1.0%
a0165 1
 
1.0%
a0160 1
 
1.0%
a0153 1
 
1.0%
a0152 1
 
1.0%
Other values (90) 90
90.0%
2024-04-18T02:29:51.503706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 163
32.6%
A 100
20.0%
1 70
14.0%
2 42
 
8.4%
3 27
 
5.4%
7 21
 
4.2%
9 18
 
3.6%
4 18
 
3.6%
5 15
 
3.0%
6 13
 
2.6%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 163
40.8%
1 70
17.5%
2 42
 
10.5%
3 27
 
6.8%
7 21
 
5.2%
9 18
 
4.5%
4 18
 
4.5%
5 15
 
3.8%
6 13
 
3.2%
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 (%)
0 163
40.8%
1 70
17.5%
2 42
 
10.5%
3 27
 
6.8%
7 21
 
5.2%
9 18
 
4.5%
4 18
 
4.5%
5 15
 
3.8%
6 13
 
3.2%
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 (%)
0 163
32.6%
A 100
20.0%
1 70
14.0%
2 42
 
8.4%
3 27
 
5.4%
7 21
 
4.2%
9 18
 
3.6%
4 18
 
3.6%
5 15
 
3.0%
6 13
 
2.6%

시설명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-18T02:29:51.708644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.58
Min length3

Characters and Unicode

Total characters658
Distinct characters157
Distinct categories2 ?
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
 
1.9%
집 2
 
1.9%
한빛마을 1
 
0.9%
연화마을 1
 
0.9%
인우원 1
 
0.9%
참사랑데이케어센터 1
 
0.9%
솔뫼베네딕도의 1
 
0.9%
장수노인요양원 1
 
0.9%
온양정애원 1
 
0.9%
금매복지원 1
 
0.9%
Other values (95) 95
88.8%
2024-04-18T02:29:52.002415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 66
 
10.0%
양 54
 
8.2%
요 40
 
6.1%
인 34
 
5.2%
노 28
 
4.3%
로 14
 
2.1%
집 13
 
2.0%
의 12
 
1.8%
천 11
 
1.7%
을 10
 
1.5%
Other values (147) 376
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
98.9%
Space Separator 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 66
 
10.1%
양 54
 
8.3%
요 40
 
6.1%
인 34
 
5.2%
노 28
 
4.3%
로 14
 
2.2%
집 13
 
2.0%
의 12
 
1.8%
천 11
 
1.7%
을 10
 
1.5%
Other values (146) 369
56.7%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 651
98.9%
Common 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 66
 
10.1%
양 54
 
8.3%
요 40
 
6.1%
인 34
 
5.2%
노 28
 
4.3%
로 14
 
2.2%
집 13
 
2.0%
의 12
 
1.8%
천 11
 
1.7%
을 10
 
1.5%
Other values (146) 369
56.7%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 651
98.9%
ASCII 7
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 66
 
10.1%
양 54
 
8.3%
요 40
 
6.1%
인 34
 
5.2%
노 28
 
4.3%
로 14
 
2.2%
집 13
 
2.0%
의 12
 
1.8%
천 11
 
1.7%
을 10
 
1.5%
Other values (146) 369
56.7%
ASCII
ValueCountFrequency (%)
7
100.0%

업태명
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
69 
비영리
10 
보건업
 
5
사회복지
 
4
서비스
 
3
Other values (7)
9 

Length

Max length6
Median length4
Mean length3.83
Min length2

Unique

Unique5 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
69.0%
비영리 10
 
10.0%
보건업 5
 
5.0%
사회복지 4
 
4.0%
서비스 3
 
3.0%
비영리법인 2
 
2.0%
노인복지 2
 
2.0%
노인 1
 
1.0%
보건 1
 
1.0%
사회복지법인 1
 
1.0%
Other values (2) 2
 
2.0%

Length

2024-04-18T02:29:52.116191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 69
69.0%
비영리 10
 
10.0%
보건업 5
 
5.0%
사회복지 4
 
4.0%
서비스 3
 
3.0%
노인복지 3
 
3.0%
비영리법인 2
 
2.0%
노인 1
 
1.0%
보건 1
 
1.0%
사회복지법인 1
 
1.0%

홈페이지주소
Text

MISSING 

Distinct65
Distinct (%)94.2%
Missing31
Missing (%)31.0%
Memory size932.0 B
2024-04-18T02:29:52.280627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length18.826087
Min length11

Characters and Unicode

Total characters1299
Distinct characters46
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

Unique61 ?
Unique (%)88.4%

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 (%)
hwasung.or.kr 2
 
2.9%
www.shinilwon.or.kr 2
 
2.9%
hannawon.or.kr 2
 
2.9%
www.chunwoo.or.kr 2
 
2.9%
www.boeunsilver.com 1
 
1.4%
www.youngki.net 1
 
1.4%
www.yaegawon.com 1
 
1.4%
www.silverhouse.pe.kr 1
 
1.4%
www.kkotnoin.or.kr 1
 
1.4%
silverhouse.or.kr 1
 
1.4%
Other values (55) 55
79.7%
2024-04-18T02:29:52.544995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 180
13.9%
. 169
13.0%
o 121
 
9.3%
r 108
 
8.3%
n 74
 
5.7%
k 58
 
4.5%
e 52
 
4.0%
h 48
 
3.7%
c 43
 
3.3%
a 41
 
3.2%
Other values (36) 405
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1049
80.8%
Other Punctuation 217
 
16.7%
Decimal Number 15
 
1.2%
Other Letter 15
 
1.2%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 180
17.2%
o 121
11.5%
r 108
 
10.3%
n 74
 
7.1%
k 58
 
5.5%
e 52
 
5.0%
h 48
 
4.6%
c 43
 
4.1%
a 41
 
3.9%
i 39
 
3.7%
Other values (13) 285
27.2%
Other Letter
ValueCountFrequency (%)
문 2
13.3%
원 2
13.3%
의 1
 
6.7%
망 1
 
6.7%
소 1
 
6.7%
홍 1
 
6.7%
천 1
 
6.7%
노 1
 
6.7%
인 1
 
6.7%
전 1
 
6.7%
Other values (3) 3
20.0%
Decimal Number
ValueCountFrequency (%)
9 3
20.0%
8 3
20.0%
1 3
20.0%
2 2
13.3%
5 2
13.3%
0 2
13.3%
Other Punctuation
ValueCountFrequency (%)
. 169
77.9%
/ 35
 
16.1%
: 13
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1049
80.8%
Common 235
 
18.1%
Hangul 15
 
1.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 180
17.2%
o 121
11.5%
r 108
 
10.3%
n 74
 
7.1%
k 58
 
5.5%
e 52
 
5.0%
h 48
 
4.6%
c 43
 
4.1%
a 41
 
3.9%
i 39
 
3.7%
Other values (13) 285
27.2%
Hangul
ValueCountFrequency (%)
문 2
13.3%
원 2
13.3%
의 1
 
6.7%
망 1
 
6.7%
소 1
 
6.7%
홍 1
 
6.7%
천 1
 
6.7%
노 1
 
6.7%
인 1
 
6.7%
전 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
. 169
71.9%
/ 35
 
14.9%
: 13
 
5.5%
- 3
 
1.3%
9 3
 
1.3%
8 3
 
1.3%
1 3
 
1.3%
2 2
 
0.9%
5 2
 
0.9%
0 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
98.8%
Hangul 15
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 180
14.0%
. 169
13.2%
o 121
 
9.4%
r 108
 
8.4%
n 74
 
5.8%
k 58
 
4.5%
e 52
 
4.0%
h 48
 
3.7%
c 43
 
3.3%
a 41
 
3.2%
Other values (23) 390
30.4%
Hangul
ValueCountFrequency (%)
문 2
13.3%
원 2
13.3%
의 1
 
6.7%
망 1
 
6.7%
소 1
 
6.7%
홍 1
 
6.7%
천 1
 
6.7%
노 1
 
6.7%
인 1
 
6.7%
전 1
 
6.7%
Other values (3) 3
20.0%

시설주소
Text

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-18T02:29:52.842415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length16.58
Min length11

Characters and Unicode

Total characters1658
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

Unique92 ?
Unique (%)92.0%

Sample

1st row서울특별시 중랑구 신내로
2nd row서울특별시 종로구 구기동
3rd row서울특별시 종로구 비봉길
4th row서울특별시 노원구 동일로248길
5th row서울특별시 강서구 강서로45다길
ValueCountFrequency (%)
경기도 15
 
4.1%
강원도 14
 
3.8%
서울특별시 11
 
3.0%
충청남도 9
 
2.5%
경상북도 9
 
2.5%
대구광역시 8
 
2.2%
전라남도 6
 
1.6%
충청북도 6
 
1.6%
전라북도 5
 
1.4%
이천시 4
 
1.1%
Other values (230) 278
76.2%
2024-04-18T02:29:53.228111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
 
20.2%
도 78
 
4.7%
시 73
 
4.4%
로 69
 
4.2%
길 53
 
3.2%
면 50
 
3.0%
구 39
 
2.4%
남 35
 
2.1%
군 34
 
2.1%
경 32
 
1.9%
Other values (178) 860
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
76.4%
Space Separator 335
 
20.2%
Decimal Number 56
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 78
 
6.2%
시 73
 
5.8%
로 69
 
5.4%
길 53
 
4.2%
면 50
 
3.9%
구 39
 
3.1%
남 35
 
2.8%
군 34
 
2.7%
경 32
 
2.5%
북 27
 
2.1%
Other values (167) 777
61.3%
Decimal Number
ValueCountFrequency (%)
2 11
19.6%
4 8
14.3%
3 7
12.5%
1 7
12.5%
7 7
12.5%
6 4
 
7.1%
9 3
 
5.4%
8 3
 
5.4%
0 3
 
5.4%
5 3
 
5.4%
Space Separator
ValueCountFrequency (%)
335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1267
76.4%
Common 391
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 78
 
6.2%
시 73
 
5.8%
로 69
 
5.4%
길 53
 
4.2%
면 50
 
3.9%
구 39
 
3.1%
남 35
 
2.8%
군 34
 
2.7%
경 32
 
2.5%
북 27
 
2.1%
Other values (167) 777
61.3%
Common
ValueCountFrequency (%)
335
85.7%
2 11
 
2.8%
4 8
 
2.0%
3 7
 
1.8%
1 7
 
1.8%
7 7
 
1.8%
6 4
 
1.0%
9 3
 
0.8%
8 3
 
0.8%
0 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
76.4%
ASCII 391
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
85.7%
2 11
 
2.8%
4 8
 
2.0%
3 7
 
1.8%
1 7
 
1.8%
7 7
 
1.8%
6 4
 
1.0%
9 3
 
0.8%
8 3
 
0.8%
0 3
 
0.8%
Hangul
ValueCountFrequency (%)
도 78
 
6.2%
시 73
 
5.8%
로 69
 
5.4%
길 53
 
4.2%
면 50
 
3.9%
구 39
 
3.1%
남 35
 
2.8%
군 34
 
2.7%
경 32
 
2.5%
북 27
 
2.1%
Other values (167) 777
61.3%

시설전화번호
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-18T02:29:53.422156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.84
Min length10

Characters and Unicode

Total characters1184
Distinct characters11
Distinct categories2 ?
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%
053-767-1189 2
 
2.0%
053-323-9343 1
 
1.0%
033-243-8795 1
 
1.0%
033-732-7689 1
 
1.0%
033-261-9300 1
 
1.0%
043-543-3711 1
 
1.0%
02-3401-5558 1
 
1.0%
041-363-7787 1
 
1.0%
041-642-4482 1
 
1.0%
Other values (88) 88
88.0%
2024-04-18T02:29:53.706893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 192
16.2%
0 177
14.9%
3 155
13.1%
5 106
9.0%
1 93
7.9%
4 93
7.9%
2 90
7.6%
6 84
7.1%
7 72
 
6.1%
9 64
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
83.8%
Dash Punctuation 192
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
17.8%
3 155
15.6%
5 106
10.7%
1 93
9.4%
4 93
9.4%
2 90
9.1%
6 84
8.5%
7 72
7.3%
9 64
 
6.5%
8 58
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 192
16.2%
0 177
14.9%
3 155
13.1%
5 106
9.0%
1 93
7.9%
4 93
7.9%
2 90
7.6%
6 84
7.1%
7 72
 
6.1%
9 64
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 192
16.2%
0 177
14.9%
3 155
13.1%
5 106
9.0%
1 93
7.9%
4 93
7.9%
2 90
7.6%
6 84
7.1%
7 72
 
6.1%
9 64
 
5.4%

업종분류코드
Categorical

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
34 
2
14 
사회복지
13 
비영리
8 
서비스
4 
Other values (17)
27 

Length

Max length9
Median length8.5
Mean length3.83
Min length1

Unique

Unique10 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
34.0%
2 14
14.0%
사회복지 13
 
13.0%
비영리 8
 
8.0%
서비스 4
 
4.0%
비영리법인 3
 
3.0%
보건업 3
 
3.0%
노인요양시설 3
 
3.0%
사회복지사업 2
 
2.0%
부동산 2
 
2.0%
Other values (12) 14
14.0%

Length

2024-04-18T02:29:53.817940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 34
33.3%
사회복지 15
14.7%
2 14
13.7%
비영리 8
 
7.8%
서비스 4
 
3.9%
비영리법인 3
 
2.9%
보건업 3
 
2.9%
노인요양시설 3
 
2.9%
서비스업 3
 
2.9%
사회복지서비스업 2
 
2.0%
Other values (11) 13
 
12.7%

시설종류코드
Categorical

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
31 
사회복지
13 
노인복지
7 
노인요양시설
5 
비영리
 
4
Other values (26)
40 

Length

Max length15
Median length4
Mean length4.68
Min length2

Unique

Unique15 ?
Unique (%)15.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
31.0%
사회복지 13
13.0%
노인복지 7
 
7.0%
노인요양시설 5
 
5.0%
비영리 4
 
4.0%
서비스 3
 
3.0%
양로원 3
 
3.0%
노인요양 3
 
3.0%
요양원 2
 
2.0%
노인 양로 복지시설 운영업 2
 
2.0%
Other values (21) 27
27.0%

Length

2024-04-18T02:29:53.917619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 31
29.2%
사회복지 13
12.3%
노인복지 7
 
6.6%
노인요양시설 5
 
4.7%
비영리 4
 
3.8%
노인 4
 
3.8%
서비스 3
 
2.8%
양로원 3
 
2.8%
노인요양 3
 
2.8%
복지시설 3
 
2.8%
Other values (22) 30
28.3%

수소이온농도
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.037
Minimum6.3
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T02:29:54.021465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile6.495
Q16.8
median7
Q37.3
95-th percentile7.605
Maximum8
Range1.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.35750397
Coefficient of variation (CV)0.050803464
Kurtosis-0.064291258
Mean7.037
Median Absolute Deviation (MAD)0.2
Skewness0.48486581
Sum703.7
Variance0.12780909
MonotonicityNot monotonic
2024-04-18T02:29:54.120163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6.8 23
23.0%
7.0 18
18.0%
7.3 11
11.0%
7.6 7
 
7.0%
7.1 6
 
6.0%
6.7 6
 
6.0%
6.4 4
 
4.0%
7.4 4
 
4.0%
6.9 4
 
4.0%
6.6 4
 
4.0%
Other values (7) 13
13.0%
ValueCountFrequency (%)
6.3 1
 
1.0%
6.4 4
 
4.0%
6.5 1
 
1.0%
6.6 4
 
4.0%
6.7 6
 
6.0%
6.8 23
23.0%
6.9 4
 
4.0%
7.0 18
18.0%
7.1 6
 
6.0%
7.2 4
 
4.0%
ValueCountFrequency (%)
8.0 1
 
1.0%
7.9 2
 
2.0%
7.7 2
 
2.0%
7.6 7
 
7.0%
7.5 2
 
2.0%
7.4 4
 
4.0%
7.3 11
11.0%
7.2 4
 
4.0%
7.1 6
 
6.0%
7.0 18
18.0%

잔류염소
Real number (ℝ)

Distinct47
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7579
Minimum0.31
Maximum1.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T02:29:54.219113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.31
5-th percentile0.3995
Q10.5975
median0.76
Q30.8875
95-th percentile1.07
Maximum1.4
Range1.09
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.20781837
Coefficient of variation (CV)0.27420289
Kurtosis0.57521185
Mean0.7579
Median Absolute Deviation (MAD)0.15
Skewness0.30176139
Sum75.79
Variance0.043188475
MonotonicityNot monotonic
2024-04-18T02:29:54.319665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.87 7
 
7.0%
0.59 5
 
5.0%
0.94 4
 
4.0%
0.91 4
 
4.0%
0.51 4
 
4.0%
0.76 4
 
4.0%
0.67 3
 
3.0%
0.85 3
 
3.0%
0.65 3
 
3.0%
0.52 3
 
3.0%
Other values (37) 60
60.0%
ValueCountFrequency (%)
0.31 1
 
1.0%
0.35 1
 
1.0%
0.38 2
2.0%
0.39 1
 
1.0%
0.4 1
 
1.0%
0.46 1
 
1.0%
0.5 3
3.0%
0.51 4
4.0%
0.52 3
3.0%
0.55 1
 
1.0%
ValueCountFrequency (%)
1.4 2
2.0%
1.17 1
1.0%
1.12 1
1.0%
1.07 2
2.0%
1.04 1
1.0%
1.01 1
1.0%
0.98 1
1.0%
0.97 2
2.0%
0.96 2
2.0%
0.95 1
1.0%

탁도
Real number (ℝ)

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0702
Minimum0.01
Maximum0.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-18T02:29:54.422973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.02
Q10.04
median0.05
Q30.08
95-th percentile0.1605
Maximum0.34
Range0.33
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.052569915
Coefficient of variation (CV)0.74885919
Kurtosis8.8423366
Mean0.0702
Median Absolute Deviation (MAD)0.015
Skewness2.5570186
Sum7.02
Variance0.002763596
MonotonicityNot monotonic
2024-04-18T02:29:54.534526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.05 27
27.0%
0.04 15
15.0%
0.03 10
 
10.0%
0.06 8
 
8.0%
0.12 6
 
6.0%
0.08 5
 
5.0%
0.07 5
 
5.0%
0.09 5
 
5.0%
0.02 4
 
4.0%
0.15 3
 
3.0%
Other values (8) 12
12.0%
ValueCountFrequency (%)
0.01 2
 
2.0%
0.02 4
 
4.0%
0.03 10
 
10.0%
0.04 15
15.0%
0.05 27
27.0%
0.06 8
 
8.0%
0.07 5
 
5.0%
0.08 5
 
5.0%
0.09 5
 
5.0%
0.11 2
 
2.0%
ValueCountFrequency (%)
0.34 1
 
1.0%
0.29 1
 
1.0%
0.19 2
 
2.0%
0.17 1
 
1.0%
0.16 1
 
1.0%
0.15 3
3.0%
0.13 2
 
2.0%
0.12 6
6.0%
0.11 2
 
2.0%
0.09 5
5.0%

Interactions

2024-04-18T02:29:50.562755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:49.942539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.363382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.631414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.014699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.430892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.695385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.295713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:29:50.489434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T02:29:54.628215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설코드시설명업태명홈페이지주소시설주소시설전화번호업종분류코드시설종류코드수소이온농도잔류염소탁도
시설코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설명1.0001.0001.0000.9930.9970.9970.9790.9920.9110.9631.000
업태명1.0001.0001.0000.8061.0001.0000.7460.8690.3010.0000.506
홈페이지주소1.0000.9930.8061.0000.9990.9970.9370.9711.0001.0001.000
시설주소1.0000.9971.0000.9991.0000.9920.0000.9481.0001.0001.000
시설전화번호1.0000.9971.0000.9970.9921.0001.0001.0001.0001.0001.000
업종분류코드1.0000.9790.7460.9370.0001.0001.0000.8680.0000.0000.000
시설종류코드1.0000.9920.8690.9710.9481.0000.8681.0000.0000.6640.000
수소이온농도1.0000.9110.3011.0001.0001.0000.0000.0001.0000.5900.378
잔류염소1.0000.9630.0001.0001.0001.0000.0000.6640.5901.0000.250
탁도1.0001.0000.5061.0001.0001.0000.0000.0000.3780.2501.000
2024-04-18T02:29:54.727660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명시설종류코드업종분류코드
업태명1.0000.4510.432
시설종류코드0.4511.0000.370
업종분류코드0.4320.3701.000
2024-04-18T02:29:54.801540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수소이온농도잔류염소탁도업태명업종분류코드시설종류코드
수소이온농도1.0000.057-0.0160.0810.0000.000
잔류염소0.0571.0000.1510.0000.0000.241
탁도-0.0160.1511.0000.2290.0000.000
업태명0.0810.0000.2291.0000.4320.451
업종분류코드0.0000.0000.0000.4321.0000.370
시설종류코드0.0000.2410.0000.4510.3701.000

Missing values

2024-04-18T02:29:50.788053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:29:50.921468image/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

시설코드시설명업태명홈페이지주소시설주소시설전화번호업종분류코드시설종류코드수소이온농도잔류염소탁도
0A0001서울꽃동네신내노인요양원<NA><NA>서울특별시 중랑구 신내로02-490-2600비영리사회복지6.80.590.05
1A0002청운양로원<NA>www.chungwoon.or.kr서울특별시 종로구 구기동02-379-9232비영리양로원6.80.590.05
2A0003청운노인요양원<NA>http://www.chungwoon.or.kr서울특별시 종로구 비봉길02-379-9232<NA><NA>6.80.590.05
3A0004홍파양로원<NA>silver.hongpa.or.kr서울특별시 노원구 동일로248길02-939-0735사회복지 서비스업노인 양로 복지시설 운영업6.80.590.05
4A0007천사노인요양원비영리<NA>서울특별시 강서구 강서로45다길02-2602-24432사회복지6.80.740.04
5A0009녹동어울림비영리<NA>전라남도 고흥군 도양읍 신정중앙길061-842-1002<NA>사회복지7.20.860.09
6A0011용인노인요양원비영리www.yongin-lotusvill.or.kr경기도 용인시 처인구 백암면 근삼로031-334-3677비영리노인복지7.01.170.06
7A0012참사랑전문요양원<NA>www.ph.or.kr경기도 이천시 신둔면 황무로338번길031-638-0650<NA><NA>7.30.870.03
8A0013성안나의집<NA><NA>인천광역시 강화군 길상면 전등사로032-937-19352사회복지7.40.840.05
9A0015인천신생요양원<NA>www.shinseng.or.kr인천광역시 서구 드림로032-566-0580<NA><NA>7.40.840.05
시설코드시설명업태명홈페이지주소시설주소시설전화번호업종분류코드시설종류코드수소이온농도잔류염소탁도
90A0219효사랑실버센터<NA>edenwon.or.kr경상북도 청도군 화양읍 청화로054-373-7575서비스노인전문요양시설6.91.010.04
91A0221천우자애원노인복지www.chunwoo.or.kr경상북도 경주시 현곡면 가막골길054-745-49002노인주거복지시설7.00.860.19
92A0222천우요양원비영리www.chunwoo.or.kr경상북도 경주시 현곡면 가막골길054-745-4902노인요양시설사회복지7.00.860.19
93A0224지리산노인요양원사회복지www.noin1009.org경상남도 함양군 유림면 천왕봉로055-963-3114사회복지비영리7.31.040.29
94A0225애명노인마을보건업www.aemyungsilver.com경상북도 안동시 북후면 광평2길054-859-6372<NA>노인장기요양,노인의료복지시설7.31.40.06
95A0227봉화요양원<NA>www.bongyo.kr경상북도 봉화군 법전면 갈방길054-673-4654<NA><NA>6.90.770.03
96A0230인애가장수마을사회복지http://www.jangsumaeul.co.kr경상북도 영주시 안정면 장안로054-633-6300사회복지사회복지7.00.570.08
97A0236완도전문요양원<NA>www.shwando.com전라남도 완도군 완도읍 대신길061-554-4300<NA><NA>7.00.920.12
98A0237실버케어빌<NA>www.scv21.com경상북도 안동시 임하면 고곡길054-821-7591사회복지사업노인의료복지7.31.40.06
99A0241하동요양원서비스www.gnw.or.kr경상남도 하동군 옥종면 옥단로0558847070서비스서비스7.60.650.17