Overview

Dataset statistics

Number of variables13
Number of observations66
Missing cells34
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory110.0 B

Variable types

Text5
Categorical5
Numeric3

Dataset

Description시설명,시설코드,시설종류명(시설유형),시설종류상세명(시설종류),자치구(시)구분,시설장명,시군구코드,시군구명,시설주소,정원(수용인원),현인원,전화번호,우편번호
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-20379/S/1/datasetView.do

Alerts

자치구(시)구분 has constant value ""Constant
시군구코드 has constant value ""Constant
시군구명 has constant value ""Constant
현인원 is highly overall correlated with 시설종류명(시설유형)High correlation
우편번호 is highly overall correlated with 시설종류명(시설유형)High correlation
시설종류명(시설유형) is highly overall correlated with 현인원 and 2 other fieldsHigh correlation
시설종류상세명(시설종류) is highly overall correlated with 시설종류명(시설유형)High correlation
시설장명 has 1 (1.5%) missing valuesMissing
정원(수용인원) has 12 (18.2%) missing valuesMissing
현인원 has 21 (31.8%) missing valuesMissing
시설코드 has unique valuesUnique
전화번호 has unique valuesUnique
정원(수용인원) has 6 (9.1%) zerosZeros
현인원 has 1 (1.5%) zerosZeros

Reproduction

Analysis started2024-05-10 23:08:11.751698
Analysis finished2024-05-10 23:08:17.180827
Duration5.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-10T23:08:17.489540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length9.9393939
Min length3

Characters and Unicode

Total characters656
Distinct characters159
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row사랑의집
2nd row용산재가노인지원센터
3rd row시립용산노인종합복지관
4th row구립용산노인전문요양원
5th row용산데이케어센터
ValueCountFrequency (%)
우리동네키움센터 7
 
8.3%
지역아동센터 4
 
4.8%
생명나무 2
 
2.4%
용산5호점 1
 
1.2%
용산1호점 1
 
1.2%
용산4호점 1
 
1.2%
용산2호점 1
 
1.2%
행복나눔노인복지센터 1
 
1.2%
구립갈월데이케어센터 1
 
1.2%
실내놀이터 1
 
1.2%
Other values (64) 64
76.2%
2024-05-10T23:08:18.469840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 41
 
6.2%
센 38
 
5.8%
지 29
 
4.4%
산 27
 
4.1%
용 27
 
4.1%
19
 
2.9%
동 17
 
2.6%
구 17
 
2.6%
인 16
 
2.4%
복 16
 
2.4%
Other values (149) 409
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 628
95.7%
Space Separator 19
 
2.9%
Decimal Number 7
 
1.1%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 41
 
6.5%
센 38
 
6.1%
지 29
 
4.6%
산 27
 
4.3%
용 27
 
4.3%
동 17
 
2.7%
구 17
 
2.7%
인 16
 
2.5%
복 16
 
2.5%
립 12
 
1.9%
Other values (139) 388
61.8%
Decimal Number
ValueCountFrequency (%)
8 1
14.3%
6 1
14.3%
7 1
14.3%
2 1
14.3%
5 1
14.3%
4 1
14.3%
1 1
14.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 628
95.7%
Common 28
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 41
 
6.5%
센 38
 
6.1%
지 29
 
4.6%
산 27
 
4.3%
용 27
 
4.3%
동 17
 
2.7%
구 17
 
2.7%
인 16
 
2.5%
복 16
 
2.5%
립 12
 
1.9%
Other values (139) 388
61.8%
Common
ValueCountFrequency (%)
19
67.9%
8 1
 
3.6%
) 1
 
3.6%
( 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
2 1
 
3.6%
5 1
 
3.6%
4 1
 
3.6%
1 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 628
95.7%
ASCII 28
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 41
 
6.5%
센 38
 
6.1%
지 29
 
4.6%
산 27
 
4.3%
용 27
 
4.3%
동 17
 
2.7%
구 17
 
2.7%
인 16
 
2.5%
복 16
 
2.5%
립 12
 
1.9%
Other values (139) 388
61.8%
ASCII
ValueCountFrequency (%)
19
67.9%
8 1
 
3.6%
) 1
 
3.6%
( 1
 
3.6%
6 1
 
3.6%
7 1
 
3.6%
2 1
 
3.6%
5 1
 
3.6%
4 1
 
3.6%
1 1
 
3.6%

시설코드
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-10T23:08:19.075476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.030303
Min length5

Characters and Unicode

Total characters332
Distinct characters21
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

Unique66 ?
Unique (%)100.0%

Sample

1st rowA0519
2nd rowA0773
3rd rowA2758
4th rowA2944
5th rowA4021
ValueCountFrequency (%)
a0519 1
 
1.5%
k1153 1
 
1.5%
z6291 1
 
1.5%
f04762 1
 
1.5%
g0357 1
 
1.5%
g0362 1
 
1.5%
g0837 1
 
1.5%
g1824 1
 
1.5%
g2732 1
 
1.5%
g4371 1
 
1.5%
Other values (56) 56
84.8%
2024-05-10T23:08:19.989233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
15.1%
1 33
9.9%
2 28
8.4%
3 27
8.1%
9 26
 
7.8%
4 25
 
7.5%
8 20
 
6.0%
6 20
 
6.0%
5 19
 
5.7%
7 18
 
5.4%
Other values (11) 66
19.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
80.1%
Uppercase Letter 66
 
19.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 10
15.2%
B 9
13.6%
K 9
13.6%
G 8
12.1%
Z 7
10.6%
A 7
10.6%
P 5
7.6%
F 4
 
6.1%
E 4
 
6.1%
D 2
 
3.0%
Decimal Number
ValueCountFrequency (%)
0 50
18.8%
1 33
12.4%
2 28
10.5%
3 27
10.2%
9 26
9.8%
4 25
9.4%
8 20
 
7.5%
6 20
 
7.5%
5 19
 
7.1%
7 18
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common 266
80.1%
Latin 66
 
19.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 10
15.2%
B 9
13.6%
K 9
13.6%
G 8
12.1%
Z 7
10.6%
A 7
10.6%
P 5
7.6%
F 4
 
6.1%
E 4
 
6.1%
D 2
 
3.0%
Common
ValueCountFrequency (%)
0 50
18.8%
1 33
12.4%
2 28
10.5%
3 27
10.2%
9 26
9.8%
4 25
9.4%
8 20
 
7.5%
6 20
 
7.5%
5 19
 
7.1%
7 18
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
15.1%
1 33
9.9%
2 28
8.4%
3 27
8.1%
9 26
 
7.8%
4 25
 
7.5%
8 20
 
6.0%
6 20
 
6.0%
5 19
 
5.7%
7 18
 
5.4%
Other values (11) 66
19.9%

시설종류명(시설유형)
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
(노인) 재가노인복지시설
13 
(아동) 다함께돌봄센터
7 
(아동) 지역아동센터
6 
(노인) 노인요양시설
4 
(장애인) 장애인주간보호시설
4 
Other values (26)
32 

Length

Max length25
Median length20
Mean length13.545455
Min length10

Unique

Unique20 ?
Unique (%)30.3%

Sample

1st row(노인) 노인요양공동생활가정
2nd row(노인) 재가노인복지시설
3rd row(노인) 노인복지관
4th row(노인) 노인요양시설
5th row(노인) 재가노인복지시설

Common Values

ValueCountFrequency (%)
(노인) 재가노인복지시설 13
19.7%
(아동) 다함께돌봄센터 7
 
10.6%
(아동) 지역아동센터 6
 
9.1%
(노인) 노인요양시설 4
 
6.1%
(장애인) 장애인주간보호시설 4
 
6.1%
(일반) 사회복지관 2
 
3.0%
(아동) 지역아동센터(지역아동복지센터) 2
 
3.0%
(아동) 아동양육시설 2
 
3.0%
(한부모가족) 모자가족복지시설(기본생활지원형) 2
 
3.0%
(장애인) 중증장애인거주시설 2
 
3.0%
Other values (21) 22
33.3%

Length

2024-05-10T23:08:20.482488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인 21
15.9%
아동 18
13.6%
재가노인복지시설 13
 
9.8%
장애인 12
 
9.1%
다함께돌봄센터 7
 
5.3%
지역아동센터 6
 
4.5%
노인요양시설 4
 
3.0%
장애인주간보호시설 4
 
3.0%
노숙인등 4
 
3.0%
정신보건 3
 
2.3%
Other values (32) 40
30.3%

시설종류상세명(시설종류)
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size660.0 B
아동복지시설
18 
재가노인복지시설
13 
장애인지역사회재활시설
6 
노인의료복지시설
5 
노숙인등이용시설
4 
Other values (13)
20 

Length

Max length11
Median length9
Mean length7.4090909
Min length4

Unique

Unique7 ?
Unique (%)10.6%

Sample

1st row노인의료복지시설
2nd row재가노인복지시설
3rd row노인여가복지시설
4th row노인의료복지시설
5th row재가노인복지시설

Common Values

ValueCountFrequency (%)
아동복지시설 18
27.3%
재가노인복지시설 13
19.7%
장애인지역사회재활시설 6
 
9.1%
노인의료복지시설 5
 
7.6%
노숙인등이용시설 4
 
6.1%
장애인거주시설 3
 
4.5%
한부모가족복지시설 2
 
3.0%
장애인기타 2
 
3.0%
노인여가복지시설 2
 
3.0%
정신재활시설 2
 
3.0%
Other values (8) 9
13.6%

Length

2024-05-10T23:08:20.938164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아동복지시설 18
27.3%
재가노인복지시설 13
19.7%
장애인지역사회재활시설 6
 
9.1%
노인의료복지시설 5
 
7.6%
노숙인등이용시설 4
 
6.1%
장애인거주시설 3
 
4.5%
노인여가복지시설 2
 
3.0%
일반사회복지시설 2
 
3.0%
정신재활시설 2
 
3.0%
장애인기타 2
 
3.0%
Other values (8) 9
13.6%

자치구(시)구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
자치구
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치구
2nd row자치구
3rd row자치구
4th row자치구
5th row자치구

Common Values

ValueCountFrequency (%)
자치구 66
100.0%

Length

2024-05-10T23:08:21.343234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:08:21.706726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치구 66
100.0%

시설장명
Text

MISSING 

Distinct59
Distinct (%)90.8%
Missing1
Missing (%)1.5%
Memory size660.0 B
2024-05-10T23:08:22.161642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0461538
Min length3

Characters and Unicode

Total characters198
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)81.5%

Sample

1st row김원태
2nd row권용자
3rd row송영법
4th row김신희
5th row이성희
ValueCountFrequency (%)
권용자 2
 
3.1%
김병삼 2
 
3.1%
이형훈 2
 
3.1%
선우인정 2
 
3.1%
김신희 2
 
3.1%
김종학 2
 
3.1%
전민재 1
 
1.5%
강진영 1
 
1.5%
조미수 1
 
1.5%
지민성 1
 
1.5%
Other values (49) 49
75.4%
2024-05-10T23:08:23.286676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
6.6%
정 11
 
5.6%
이 11
 
5.6%
영 6
 
3.0%
미 5
 
2.5%
희 5
 
2.5%
신 5
 
2.5%
수 5
 
2.5%
재 5
 
2.5%
권 5
 
2.5%
Other values (68) 127
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
6.6%
정 11
 
5.6%
이 11
 
5.6%
영 6
 
3.0%
미 5
 
2.5%
희 5
 
2.5%
신 5
 
2.5%
수 5
 
2.5%
재 5
 
2.5%
권 5
 
2.5%
Other values (68) 127
64.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
6.6%
정 11
 
5.6%
이 11
 
5.6%
영 6
 
3.0%
미 5
 
2.5%
희 5
 
2.5%
신 5
 
2.5%
수 5
 
2.5%
재 5
 
2.5%
권 5
 
2.5%
Other values (68) 127
64.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
6.6%
정 11
 
5.6%
이 11
 
5.6%
영 6
 
3.0%
미 5
 
2.5%
희 5
 
2.5%
신 5
 
2.5%
수 5
 
2.5%
재 5
 
2.5%
권 5
 
2.5%
Other values (68) 127
64.1%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1117000000
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1117000000
2nd row1117000000
3rd row1117000000
4th row1117000000
5th row1117000000

Common Values

ValueCountFrequency (%)
1117000000 66
100.0%

Length

2024-05-10T23:08:23.939598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:08:24.395203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1117000000 66
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
용산구
66 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용산구
2nd row용산구
3rd row용산구
4th row용산구
5th row용산구

Common Values

ValueCountFrequency (%)
용산구 66
100.0%

Length

2024-05-10T23:08:24.918904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T23:08:25.239666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구 66
100.0%

시설주소
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-10T23:08:26.168759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length28.984848
Min length18

Characters and Unicode

Total characters1913
Distinct characters118
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

Unique64 ?
Unique (%)97.0%

Sample

1st row서울특별시 용산구 효창원로15길 24(산천동)
2nd row서울특별시 용산구 한강대로 43길 13 대우아이빌 712호(한강로동)
3rd row서울특별시 용산구 독서당로11길16 (한남동)
4th row서울특별시 용산구 효창원로93길 51 (효창동)
5th row서울특별시 용산구 독서당로11길 16 (한남동)
ValueCountFrequency (%)
서울특별시 65
 
18.8%
용산구 65
 
18.8%
한강대로 7
 
2.0%
2층 6
 
1.7%
효창동 5
 
1.4%
동자동 5
 
1.4%
후암동 4
 
1.2%
한남동 4
 
1.2%
1층 4
 
1.2%
효창원로 3
 
0.9%
Other values (141) 178
51.4%
2024-05-10T23:08:27.881042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
 
14.7%
로 81
 
4.2%
서 77
 
4.0%
산 71
 
3.7%
용 69
 
3.6%
시 67
 
3.5%
구 66
 
3.5%
1 65
 
3.4%
특 65
 
3.4%
별 65
 
3.4%
Other values (108) 1006
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1158
60.5%
Decimal Number 313
 
16.4%
Space Separator 281
 
14.7%
Close Punctuation 58
 
3.0%
Open Punctuation 58
 
3.0%
Other Punctuation 25
 
1.3%
Dash Punctuation 14
 
0.7%
Uppercase Letter 3
 
0.2%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 81
 
7.0%
서 77
 
6.6%
산 71
 
6.1%
용 69
 
6.0%
시 67
 
5.8%
구 66
 
5.7%
특 65
 
5.6%
별 65
 
5.6%
울 65
 
5.6%
동 57
 
4.9%
Other values (91) 475
41.0%
Decimal Number
ValueCountFrequency (%)
1 65
20.8%
2 56
17.9%
3 48
15.3%
4 35
11.2%
5 26
 
8.3%
0 22
 
7.0%
7 20
 
6.4%
9 19
 
6.1%
6 13
 
4.2%
8 9
 
2.9%
Space Separator
ValueCountFrequency (%)
281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1158
60.5%
Common 752
39.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 81
 
7.0%
서 77
 
6.6%
산 71
 
6.1%
용 69
 
6.0%
시 67
 
5.8%
구 66
 
5.7%
특 65
 
5.6%
별 65
 
5.6%
울 65
 
5.6%
동 57
 
4.9%
Other values (91) 475
41.0%
Common
ValueCountFrequency (%)
281
37.4%
1 65
 
8.6%
) 58
 
7.7%
( 58
 
7.7%
2 56
 
7.4%
3 48
 
6.4%
4 35
 
4.7%
5 26
 
3.5%
, 25
 
3.3%
0 22
 
2.9%
Other values (6) 78
 
10.4%
Latin
ValueCountFrequency (%)
F 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1158
60.5%
ASCII 755
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
37.2%
1 65
 
8.6%
) 58
 
7.7%
( 58
 
7.7%
2 56
 
7.4%
3 48
 
6.4%
4 35
 
4.6%
5 26
 
3.4%
, 25
 
3.3%
0 22
 
2.9%
Other values (7) 81
 
10.7%
Hangul
ValueCountFrequency (%)
로 81
 
7.0%
서 77
 
6.6%
산 71
 
6.1%
용 69
 
6.0%
시 67
 
5.8%
구 66
 
5.7%
특 65
 
5.6%
별 65
 
5.6%
울 65
 
5.6%
동 57
 
4.9%
Other values (91) 475
41.0%

정원(수용인원)
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)57.4%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean43.240741
Minimum0
Maximum236
Zeros6
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-10T23:08:28.308688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.25
median27.5
Q349.75
95-th percentile146.1
Maximum236
Range236
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation49.394421
Coefficient of variation (CV)1.1423121
Kurtosis5.1774667
Mean43.240741
Median Absolute Deviation (MAD)14
Skewness2.221562
Sum2335
Variance2439.8089
MonotonicityNot monotonic
2024-05-10T23:08:28.848595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 6
 
9.1%
40 4
 
6.1%
50 3
 
4.5%
30 3
 
4.5%
25 3
 
4.5%
20 3
 
4.5%
21 3
 
4.5%
29 2
 
3.0%
26 2
 
3.0%
32 2
 
3.0%
Other values (21) 23
34.8%
(Missing) 12
18.2%
ValueCountFrequency (%)
0 6
9.1%
3 1
 
1.5%
7 1
 
1.5%
9 1
 
1.5%
10 2
 
3.0%
12 1
 
1.5%
15 2
 
3.0%
20 3
4.5%
21 3
4.5%
22 1
 
1.5%
ValueCountFrequency (%)
236 1
1.5%
200 1
1.5%
150 1
1.5%
144 1
1.5%
134 1
1.5%
114 1
1.5%
91 1
1.5%
81 1
1.5%
80 1
1.5%
66 1
1.5%

현인원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct35
Distinct (%)77.8%
Missing21
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean242.26667
Minimum0
Maximum5389
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-10T23:08:29.298475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4
Q119
median29
Q396
95-th percentile916.2
Maximum5389
Range5389
Interquartile range (IQR)77

Descriptive statistics

Standard deviation834.26152
Coefficient of variation (CV)3.4435671
Kurtosis34.676947
Mean242.26667
Median Absolute Deviation (MAD)18
Skewness5.6758809
Sum10902
Variance695992.29
MonotonicityNot monotonic
2024-05-10T23:08:29.821758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
21 3
 
4.5%
31 3
 
4.5%
20 2
 
3.0%
100 2
 
3.0%
10 2
 
3.0%
15 2
 
3.0%
26 2
 
3.0%
52 2
 
3.0%
920 1
 
1.5%
0 1
 
1.5%
Other values (25) 25
37.9%
(Missing) 21
31.8%
ValueCountFrequency (%)
0 1
1.5%
3 1
1.5%
6 1
1.5%
8 1
1.5%
10 2
3.0%
11 1
1.5%
13 1
1.5%
15 2
3.0%
18 1
1.5%
19 1
1.5%
ValueCountFrequency (%)
5389 1
1.5%
1500 1
1.5%
920 1
1.5%
901 1
1.5%
332 1
1.5%
251 1
1.5%
221 1
1.5%
134 1
1.5%
110 1
1.5%
100 2
3.0%

전화번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-10T23:08:30.400873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.560606
Min length9

Characters and Unicode

Total characters697
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

Unique66 ?
Unique (%)100.0%

Sample

1st row02-715-9020
2nd row02-792-7882
3rd row02-794-6100
4th row02-715-5540
5th row02-794-7787
ValueCountFrequency (%)
02-715-9020 1
 
1.5%
0263673124 1
 
1.5%
02-798-9935 1
 
1.5%
02-2199-7552 1
 
1.5%
027908999 1
 
1.5%
02-790-8884 1
 
1.5%
02-711-7795 1
 
1.5%
02-790-3843 1
 
1.5%
027110335 1
 
1.5%
0269543456 1
 
1.5%
Other values (56) 56
84.8%
2024-05-10T23:08:31.464243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 114
16.4%
2 105
15.1%
7 97
13.9%
- 89
12.8%
1 66
9.5%
9 55
7.9%
5 53
7.6%
3 35
 
5.0%
8 33
 
4.7%
4 26
 
3.7%
Other values (2) 24
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 607
87.1%
Dash Punctuation 89
 
12.8%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 114
18.8%
2 105
17.3%
7 97
16.0%
1 66
10.9%
9 55
9.1%
5 53
8.7%
3 35
 
5.8%
8 33
 
5.4%
4 26
 
4.3%
6 23
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 697
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 114
16.4%
2 105
15.1%
7 97
13.9%
- 89
12.8%
1 66
9.5%
9 55
7.9%
5 53
7.6%
3 35
 
5.0%
8 33
 
4.7%
4 26
 
3.7%
Other values (2) 24
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 697
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 114
16.4%
2 105
15.1%
7 97
13.9%
- 89
12.8%
1 66
9.5%
9 55
7.9%
5 53
7.6%
3 35
 
5.0%
8 33
 
4.7%
4 26
 
3.7%
Other values (2) 24
 
3.4%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8590.303
Minimum4303
Maximum140900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-10T23:08:32.066262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4303
5-th percentile4311
Q14320
median4336
Q34380.5
95-th percentile4419
Maximum140900
Range136597
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation23559.237
Coefficient of variation (CV)2.7425386
Kurtosis30.279713
Mean8590.303
Median Absolute Deviation (MAD)22
Skewness5.5962168
Sum566960
Variance5.5503767 × 108
MonotonicityNot monotonic
2024-05-10T23:08:32.645249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4324 4
 
6.1%
4316 3
 
4.5%
4311 3
 
4.5%
4336 3
 
4.5%
4335 3
 
4.5%
4319 3
 
4.5%
4320 3
 
4.5%
4357 2
 
3.0%
4419 2
 
3.0%
4390 2
 
3.0%
Other values (32) 38
57.6%
ValueCountFrequency (%)
4303 1
 
1.5%
4306 1
 
1.5%
4311 3
4.5%
4312 1
 
1.5%
4313 1
 
1.5%
4316 3
4.5%
4317 2
3.0%
4318 1
 
1.5%
4319 3
4.5%
4320 3
4.5%
ValueCountFrequency (%)
140900 1
1.5%
140610 1
1.5%
11518 1
1.5%
4419 2
3.0%
4414 1
1.5%
4410 2
3.0%
4400 1
1.5%
4398 1
1.5%
4390 2
3.0%
4387 2
3.0%

Interactions

2024-05-10T23:08:15.129879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:13.678168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:14.396519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:15.397139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:13.906916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:14.628459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:15.644240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:14.149702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T23:08:14.867458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T23:08:32.974816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)시설장명시설주소정원(수용인원)현인원전화번호우편번호
시설명1.0001.0001.0001.0001.0000.9981.0001.0001.0001.000
시설코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시설종류명(시설유형)1.0001.0001.0001.0000.9920.9820.9070.9741.0000.867
시설종류상세명(시설종류)1.0001.0001.0001.0000.9861.0000.7970.7961.0000.129
시설장명1.0001.0000.9920.9861.0000.9910.9301.0001.0001.000
시설주소0.9981.0000.9821.0000.9911.0000.9671.0001.0001.000
정원(수용인원)1.0001.0000.9070.7970.9300.9671.0000.6431.0000.000
현인원1.0001.0000.9740.7961.0001.0000.6431.0001.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0000.8670.1291.0001.0000.0000.0001.0001.000
2024-05-10T23:08:33.294149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류상세명(시설종류)시설종류명(시설유형)
시설종류상세명(시설종류)1.0000.854
시설종류명(시설유형)0.8541.000
2024-05-10T23:08:33.548376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원(수용인원)현인원우편번호시설종류명(시설유형)시설종류상세명(시설종류)
정원(수용인원)1.0000.4130.2350.4750.443
현인원0.4131.0000.2340.6080.409
우편번호0.2350.2341.0000.5340.090
시설종류명(시설유형)0.4750.6080.5341.0000.854
시설종류상세명(시설종류)0.4430.4090.0900.8541.000

Missing values

2024-05-10T23:08:16.017321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T23:08:16.655499image/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.
2024-05-10T23:08:17.020316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
0사랑의집A0519(노인) 노인요양공동생활가정노인의료복지시설자치구김원태1117000000용산구서울특별시 용산구 효창원로15길 24(산천동)9802-715-90204357
1용산재가노인지원센터A0773(노인) 재가노인복지시설재가노인복지시설자치구권용자1117000000용산구서울특별시 용산구 한강대로 43길 13 대우아이빌 712호(한강로동)13413402-792-78824376
2시립용산노인종합복지관A2758(노인) 노인복지관노인여가복지시설자치구송영법1117000000용산구서울특별시 용산구 독서당로11길16 (한남동)<NA><NA>02-794-61004410
3구립용산노인전문요양원A2944(노인) 노인요양시설노인의료복지시설자치구김신희1117000000용산구서울특별시 용산구 효창원로93길 51 (효창동)919102-715-55404311
4용산데이케어센터A4021(노인) 재가노인복지시설재가노인복지시설자치구이성희1117000000용산구서울특별시 용산구 독서당로11길 16 (한남동)212102-794-77874410
5청파노인복지관A4195(노인) 노인복지관(소규모)노인여가복지시설자치구김갑록1117000000용산구서울특별시 용산구 청파로83길 26서계동 (서계동)<NA><NA>02-703-60114303
6구립용산노인데이케어센터A9074(노인) 재가노인복지시설재가노인복지시설자치구김신희1117000000용산구서울특별시 용산구 효창원로93길 51242402-715-55254311
7혜심원B0050(아동) 아동양육시설아동복지시설자치구권필환1117000000용산구서울특별시 용산구 소월로2나길 18 (후암동)555202-755-84594326
8영락지역아동복지센터B0498(아동) 지역아동센터(지역아동복지센터)아동복지시설자치구김병삼1117000000용산구서울특별시 용산구 후암로4길 70 (후암동)402602-310-96844336
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시설명시설코드시설종류명(시설유형)시설종류상세명(시설종류)자치구(시)구분시설장명시군구코드시군구명시설주소정원(수용인원)현인원전화번호우편번호
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