Overview

Dataset statistics

Number of variables9
Number of observations51
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory75.6 B

Variable types

Categorical1
Text6
Numeric1
DateTime1

Dataset

Description서울특별시_송파구_장애인복지시설에 대한 데이터로 구분, 시설명, 도로명주소, 시설장, 전화번호, 팩스번호, 위탁법인(운영), 1일인원, 데이터기준일자 등에 항목으로 제공합니다.
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15044847/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설장 has 2 (3.9%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:55:49.816648
Analysis finished2023-12-11 23:55:50.750984
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
공동생활가정
14 
직업재활
13 
주간보호
10 
기타복지시설
4 
복지관
3 
Other values (3)
7 

Length

Max length6
Median length4
Mean length4.5294118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row복지관
2nd row복지관
3rd row복지관
4th row거주시설
5th row거주시설

Common Values

ValueCountFrequency (%)
공동생활가정 14
27.5%
직업재활 13
25.5%
주간보호 10
19.6%
기타복지시설 4
 
7.8%
복지관 3
 
5.9%
단기 3
 
5.9%
거주시설 2
 
3.9%
자립센터 2
 
3.9%

Length

2023-12-12T08:55:50.856041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:55:50.987732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동생활가정 14
27.5%
직업재활 13
25.5%
주간보호 10
19.6%
기타복지시설 4
 
7.8%
복지관 3
 
5.9%
단기 3
 
5.9%
거주시설 2
 
3.9%
자립센터 2
 
3.9%

시설명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:55:51.215026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length8.1960784
Min length5

Characters and Unicode

Total characters418
Distinct characters123
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row송파구방이복지관
2nd row서울시각장애인복지관
3rd row송파인성장애인복지관
4th row신아재활원
5th row임마누엘집
ValueCountFrequency (%)
송파구방이복지관 1
 
1.9%
행복한사랑 1
 
1.9%
송파위더스(구립 1
 
1.9%
한마음2호공동생활가정 1
 
1.9%
사랑나눔송파 1
 
1.9%
비움공동생활가정 1
 
1.9%
우리그룹홈 1
 
1.9%
신아보호작업장 1
 
1.9%
임마누엘보호작업시설 1
 
1.9%
마라보호작업장 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T08:55:51.636182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 19
 
4.5%
보 18
 
4.3%
장 16
 
3.8%
동 12
 
2.9%
송 11
 
2.6%
파 11
 
2.6%
인 10
 
2.4%
업 10
 
2.4%
정 10
 
2.4%
가 10
 
2.4%
Other values (113) 291
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
96.4%
Decimal Number 5
 
1.2%
Close Punctuation 3
 
0.7%
Open Punctuation 3
 
0.7%
Uppercase Letter 3
 
0.7%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 19
 
4.7%
보 18
 
4.5%
장 16
 
4.0%
동 12
 
3.0%
송 11
 
2.7%
파 11
 
2.7%
인 10
 
2.5%
업 10
 
2.5%
정 10
 
2.5%
가 10
 
2.5%
Other values (103) 276
68.5%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 1
20.0%
3 1
20.0%
4 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
H 1
33.3%
E 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
96.4%
Common 12
 
2.9%
Latin 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 19
 
4.7%
보 18
 
4.5%
장 16
 
4.0%
동 12
 
3.0%
송 11
 
2.7%
파 11
 
2.7%
인 10
 
2.5%
업 10
 
2.5%
정 10
 
2.5%
가 10
 
2.5%
Other values (103) 276
68.5%
Common
ValueCountFrequency (%)
) 3
25.0%
( 3
25.0%
2 2
16.7%
1 1
 
8.3%
3 1
 
8.3%
4 1
 
8.3%
1
 
8.3%
Latin
ValueCountFrequency (%)
T 1
33.3%
H 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
96.4%
ASCII 15
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 19
 
4.7%
보 18
 
4.5%
장 16
 
4.0%
동 12
 
3.0%
송 11
 
2.7%
파 11
 
2.7%
인 10
 
2.5%
업 10
 
2.5%
정 10
 
2.5%
가 10
 
2.5%
Other values (103) 276
68.5%
ASCII
ValueCountFrequency (%)
) 3
20.0%
( 3
20.0%
2 2
13.3%
1 1
 
6.7%
3 1
 
6.7%
4 1
 
6.7%
T 1
 
6.7%
H 1
 
6.7%
E 1
 
6.7%
1
 
6.7%

도로명주소
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:55:51.937294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length26.529412
Min length20

Characters and Unicode

Total characters1353
Distinct characters88
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)80.4%

Sample

1st row서울특별시 송파구 오금로11길 68(방이동)
2nd row서울특별시 송파구 삼학사로19길 27(삼전동)
3rd row서울특별시 송파구 마천로61길 26(마천동)
4th row서울특별시 송파구 양산로8길 17(거여동)
5th row서울특별시 송파구 양산로10길 26(거여동)
ValueCountFrequency (%)
서울특별시 51
22.0%
송파구 50
21.6%
성내천로 5
 
2.2%
송이로34길 4
 
1.7%
43-1(문정동 4
 
1.7%
올림픽로 3
 
1.3%
2층(마천동 3
 
1.3%
오금로 3
 
1.3%
마천로 3
 
1.3%
양산로 2
 
0.9%
Other values (94) 104
44.8%
2023-12-12T08:55:52.764502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
13.4%
송 60
 
4.4%
파 55
 
4.1%
1 55
 
4.1%
서 51
 
3.8%
특 51
 
3.8%
별 51
 
3.8%
시 51
 
3.8%
울 51
 
3.8%
로 51
 
3.8%
Other values (78) 696
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 802
59.3%
Decimal Number 232
 
17.1%
Space Separator 181
 
13.4%
Open Punctuation 49
 
3.6%
Close Punctuation 49
 
3.6%
Other Punctuation 24
 
1.8%
Dash Punctuation 15
 
1.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 60
 
7.5%
파 55
 
6.9%
서 51
 
6.4%
특 51
 
6.4%
별 51
 
6.4%
시 51
 
6.4%
울 51
 
6.4%
로 51
 
6.4%
동 51
 
6.4%
구 50
 
6.2%
Other values (62) 280
34.9%
Decimal Number
ValueCountFrequency (%)
1 55
23.7%
2 31
13.4%
3 30
12.9%
4 23
9.9%
5 20
 
8.6%
6 20
 
8.6%
0 18
 
7.8%
8 13
 
5.6%
9 12
 
5.2%
7 10
 
4.3%
Space Separator
ValueCountFrequency (%)
181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 802
59.3%
Common 550
40.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 60
 
7.5%
파 55
 
6.9%
서 51
 
6.4%
특 51
 
6.4%
별 51
 
6.4%
시 51
 
6.4%
울 51
 
6.4%
로 51
 
6.4%
동 51
 
6.4%
구 50
 
6.2%
Other values (62) 280
34.9%
Common
ValueCountFrequency (%)
181
32.9%
1 55
 
10.0%
( 49
 
8.9%
) 49
 
8.9%
2 31
 
5.6%
3 30
 
5.5%
, 24
 
4.4%
4 23
 
4.2%
5 20
 
3.6%
6 20
 
3.6%
Other values (5) 68
 
12.4%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 802
59.3%
ASCII 551
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
32.8%
1 55
 
10.0%
( 49
 
8.9%
) 49
 
8.9%
2 31
 
5.6%
3 30
 
5.4%
, 24
 
4.4%
4 23
 
4.2%
5 20
 
3.6%
6 20
 
3.6%
Other values (6) 69
 
12.5%
Hangul
ValueCountFrequency (%)
송 60
 
7.5%
파 55
 
6.9%
서 51
 
6.4%
특 51
 
6.4%
별 51
 
6.4%
시 51
 
6.4%
울 51
 
6.4%
로 51
 
6.4%
동 51
 
6.4%
구 50
 
6.2%
Other values (62) 280
34.9%

시설장
Text

MISSING 

Distinct40
Distinct (%)81.6%
Missing2
Missing (%)3.9%
Memory size540.0 B
2023-12-12T08:55:53.012233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters147
Distinct characters65
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

Unique34 ?
Unique (%)69.4%

Sample

1st row김진숙
2nd row오동균
3rd row서정민
4th row황성수
5th row김경식
ValueCountFrequency (%)
이영민 5
 
10.2%
허경태 2
 
4.1%
이득남 2
 
4.1%
최신영 2
 
4.1%
이경미 2
 
4.1%
박경호 2
 
4.1%
김경옥 1
 
2.0%
나병택 1
 
2.0%
이연호 1
 
2.0%
정문영 1
 
2.0%
Other values (30) 30
61.2%
2023-12-12T08:55:53.407697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 11
 
7.5%
경 11
 
7.5%
영 11
 
7.5%
김 10
 
6.8%
민 7
 
4.8%
미 4
 
2.7%
박 4
 
2.7%
성 4
 
2.7%
정 4
 
2.7%
최 4
 
2.7%
Other values (55) 77
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
7.5%
경 11
 
7.5%
영 11
 
7.5%
김 10
 
6.8%
민 7
 
4.8%
미 4
 
2.7%
박 4
 
2.7%
성 4
 
2.7%
정 4
 
2.7%
최 4
 
2.7%
Other values (55) 77
52.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
7.5%
경 11
 
7.5%
영 11
 
7.5%
김 10
 
6.8%
민 7
 
4.8%
미 4
 
2.7%
박 4
 
2.7%
성 4
 
2.7%
정 4
 
2.7%
최 4
 
2.7%
Other values (55) 77
52.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 11
 
7.5%
경 11
 
7.5%
영 11
 
7.5%
김 10
 
6.8%
민 7
 
4.8%
미 4
 
2.7%
박 4
 
2.7%
성 4
 
2.7%
정 4
 
2.7%
최 4
 
2.7%
Other values (55) 77
52.4%

전화번호
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:55:53.722879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.352941
Min length11

Characters and Unicode

Total characters579
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

Unique47 ?
Unique (%)92.2%

Sample

1st row02-3432-0477
2nd row02-422-8108
3rd row02-431-8881
4th row02-400-4695
5th row02-449-6956
ValueCountFrequency (%)
02-430-8003 2
 
3.9%
02-2043-8460 2
 
3.9%
02-404-6240 1
 
2.0%
02-3401-4162 1
 
2.0%
02-404-0920 1
 
2.0%
02-400-6503 1
 
2.0%
02-3432-0477 1
 
2.0%
02-407-1991 1
 
2.0%
070-8292-8460 1
 
2.0%
02-409-5040 1
 
2.0%
Other values (39) 39
76.5%
2023-12-12T08:55:54.219361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 133
23.0%
- 102
17.6%
2 81
14.0%
4 80
13.8%
3 32
 
5.5%
6 30
 
5.2%
9 29
 
5.0%
1 29
 
5.0%
8 28
 
4.8%
7 18
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 477
82.4%
Dash Punctuation 102
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
27.9%
2 81
17.0%
4 80
16.8%
3 32
 
6.7%
6 30
 
6.3%
9 29
 
6.1%
1 29
 
6.1%
8 28
 
5.9%
7 18
 
3.8%
5 17
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 579
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 133
23.0%
- 102
17.6%
2 81
14.0%
4 80
13.8%
3 32
 
5.5%
6 30
 
5.2%
9 29
 
5.0%
1 29
 
5.0%
8 28
 
4.8%
7 18
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 133
23.0%
- 102
17.6%
2 81
14.0%
4 80
13.8%
3 32
 
5.5%
6 30
 
5.2%
9 29
 
5.0%
1 29
 
5.0%
8 28
 
4.8%
7 18
 
3.1%

팩스번호
Text

Distinct38
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:55:54.513772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.627451
Min length1

Characters and Unicode

Total characters542
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)58.8%

Sample

1st row02-2202-0175
2nd row02-416-4093
3rd row02-430-6228
4th row02-407-1957
5th row02-403-1929
ValueCountFrequency (%)
02-448-6409 6
 
11.8%
x 3
 
5.9%
02-400-5181 2
 
3.9%
02-400-6513 2
 
3.9%
02-403-1929 2
 
3.9%
02-409-8460 2
 
3.9%
02-448-9701 2
 
3.9%
02-2179-8021 2
 
3.9%
02-409-7043 1
 
2.0%
02-404-0930 1
 
2.0%
Other values (28) 28
54.9%
2023-12-12T08:55:54.946493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 111
20.5%
- 96
17.7%
2 78
14.4%
4 75
13.8%
1 38
 
7.0%
9 35
 
6.5%
8 30
 
5.5%
6 21
 
3.9%
3 20
 
3.7%
5 18
 
3.3%
Other values (2) 20
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 443
81.7%
Dash Punctuation 96
 
17.7%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
25.1%
2 78
17.6%
4 75
16.9%
1 38
 
8.6%
9 35
 
7.9%
8 30
 
6.8%
6 21
 
4.7%
3 20
 
4.5%
5 18
 
4.1%
7 17
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
99.4%
Latin 3
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
20.6%
- 96
17.8%
2 78
14.5%
4 75
13.9%
1 38
 
7.1%
9 35
 
6.5%
8 30
 
5.6%
6 21
 
3.9%
3 20
 
3.7%
5 18
 
3.3%
Latin
ValueCountFrequency (%)
X 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
20.5%
- 96
17.7%
2 78
14.4%
4 75
13.8%
1 38
 
7.0%
9 35
 
6.5%
8 30
 
5.5%
6 21
 
3.9%
3 20
 
3.7%
5 18
 
3.3%
Other values (2) 20
 
3.7%

위탁법인(운영)
Text

Distinct34
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T08:55:55.207959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.5490196
Min length5

Characters and Unicode

Total characters487
Distinct characters98
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

Unique24 ?
Unique (%)47.1%

Sample

1st row재)대한감리회유지재단
2nd row사)선한목자재단
3rd row사)함께하는복지
4th row사)신아원
5th row사)임마누엘복지재단
ValueCountFrequency (%)
사단)한국장애인부모회 5
 
8.2%
사단)장애인체육문화연구원 4
 
6.6%
송파지부 4
 
6.6%
사)함께하는재단 3
 
4.9%
사)임마누엘복지재단 3
 
4.9%
사)밀알복지재단 3
 
4.9%
사)동안복지재단 2
 
3.3%
사단)함께 2
 
3.3%
사)다니엘 2
 
3.3%
사단)사람과 2
 
3.3%
Other values (29) 31
50.8%
2023-12-12T08:55:55.589085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 50
 
10.3%
) 48
 
9.9%
단 36
 
7.4%
지 18
 
3.7%
재 16
 
3.3%
장 15
 
3.1%
인 15
 
3.1%
회 15
 
3.1%
애 14
 
2.9%
복 14
 
2.9%
Other values (88) 246
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
88.1%
Close Punctuation 48
 
9.9%
Space Separator 10
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 50
 
11.7%
단 36
 
8.4%
지 18
 
4.2%
재 16
 
3.7%
장 15
 
3.5%
인 15
 
3.5%
회 15
 
3.5%
애 14
 
3.3%
복 14
 
3.3%
한 13
 
3.0%
Other values (86) 223
52.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
88.1%
Common 58
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 50
 
11.7%
단 36
 
8.4%
지 18
 
4.2%
재 16
 
3.7%
장 15
 
3.5%
인 15
 
3.5%
회 15
 
3.5%
애 14
 
3.3%
복 14
 
3.3%
한 13
 
3.0%
Other values (86) 223
52.0%
Common
ValueCountFrequency (%)
) 48
82.8%
10
 
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
88.1%
ASCII 58
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 50
 
11.7%
단 36
 
8.4%
지 18
 
4.2%
재 16
 
3.7%
장 15
 
3.5%
인 15
 
3.5%
회 15
 
3.5%
애 14
 
3.3%
복 14
 
3.3%
한 13
 
3.0%
Other values (86) 223
52.0%
ASCII
ValueCountFrequency (%)
) 48
82.8%
10
 
17.2%

1일인원
Real number (ℝ)

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.352941
Minimum2
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T08:55:55.711663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median12
Q325
95-th percentile199.5
Maximum3000
Range2998
Interquartile range (IQR)21

Descriptive statistics

Standard deviation419.14689
Coefficient of variation (CV)4.744006
Kurtosis49.32495
Mean88.352941
Median Absolute Deviation (MAD)8
Skewness6.9746605
Sum4506
Variance175684.11
MonotonicityNot monotonic
2023-12-12T08:55:55.821207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 10
19.6%
20 6
11.8%
10 5
 
9.8%
11 4
 
7.8%
2 2
 
3.9%
40 2
 
3.9%
25 2
 
3.9%
13 2
 
3.9%
30 2
 
3.9%
3 2
 
3.9%
Other values (14) 14
27.5%
ValueCountFrequency (%)
2 2
 
3.9%
3 2
 
3.9%
4 10
19.6%
7 1
 
2.0%
9 1
 
2.0%
10 5
9.8%
11 4
 
7.8%
12 1
 
2.0%
13 2
 
3.9%
15 1
 
2.0%
ValueCountFrequency (%)
3000 1
2.0%
251 1
2.0%
239 1
2.0%
160 1
2.0%
120 1
2.0%
70 1
2.0%
60 1
2.0%
50 1
2.0%
40 2
3.9%
30 2
3.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2021-09-10 00:00:00
Maximum2021-09-10 00:00:00
2023-12-12T08:55:55.928399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:55:56.014146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:55:50.406092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:55:56.095007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명도로명주소시설장전화번호팩스번호위탁법인(운영)1일인원
구분1.0001.0000.7850.9940.9860.9080.8610.447
시설명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소0.7851.0001.0000.9540.9940.9890.9841.000
시설장0.9941.0000.9541.0001.0000.9900.9911.000
전화번호0.9861.0000.9941.0001.0000.9900.9851.000
팩스번호0.9081.0000.9890.9900.9901.0000.9931.000
위탁법인(운영)0.8611.0000.9840.9910.9850.9931.0001.000
1일인원0.4471.0001.0001.0001.0001.0001.0001.000
2023-12-12T08:55:56.199975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1일인원구분
1일인원1.0000.311
구분0.3111.000

Missing values

2023-12-12T08:55:50.546659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:55:50.698697image/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

구분시설명도로명주소시설장전화번호팩스번호위탁법인(운영)1일인원데이터기준일자
0복지관송파구방이복지관서울특별시 송파구 오금로11길 68(방이동)김진숙02-3432-047702-2202-0175재)대한감리회유지재단2512021-09-10
1복지관서울시각장애인복지관서울특별시 송파구 삼학사로19길 27(삼전동)오동균02-422-810802-416-4093사)선한목자재단2392021-09-10
2복지관송파인성장애인복지관서울특별시 송파구 마천로61길 26(마천동)서정민02-431-888102-430-6228사)함께하는복지1602021-09-10
3거주시설신아재활원서울특별시 송파구 양산로8길 17(거여동)황성수02-400-469502-407-1957사)신아원1202021-09-10
4거주시설임마누엘집서울특별시 송파구 양산로10길 26(거여동)김경식02-449-695602-403-1929사)임마누엘복지재단502021-09-10
5주간보호마라주간보호서울특별시 송파구 송이로34길 43-1(문정동)이영민02-3401-600802-448-6409사단)한국장애인부모회102021-09-10
6주간보호삼전주간보호서울특별시 송파구 백제고분로32길 35(삼전동)현혜영02-421-607702-421-6079사)승가원152021-09-10
7주간보호무지개동산주간보호서울특별시 송파구 성내천로 22길 16김성분02-448-662002-448-7788사)무지개동산112021-09-10
8주간보호사랑나눔주간보호서울특별시 송파구 마천로51길 28(마천동)이득남02-400-846002-409-8460사단)장애인체육문화연구원122021-09-10
9주간보호참사랑주간보호서울특별시 송파구 마천로 89(오금동)최신영02-430-800302-400-5563사)신원복지재단102021-09-10
구분시설명도로명주소시설장전화번호팩스번호위탁법인(운영)1일인원데이터기준일자
41직업재활행복보호작업장서울특별시 송파구 성내천로 271(마천동)김경옥02-448-970002-448-9701사단)사람과 행복202021-09-10
42직업재활굿윌스토어(시립)서울특별시 송파구 마천로 226(마천동)박경호02-6913-910002-6913-9109사)밀알복지재단702021-09-10
43직업재활함재보호작업장서울특별시 송파구 송파대로 412(송파동)강미랑070-4333-195002-2038-0051사)함께하는재단252021-09-10
44직업재활두손장애인보호작업장서울특별시 송파구 동남로6길 34-1, 1층(문정동)김한근070-8729-956702-409-8291사단)홀리랜드132021-09-10
45기타복지시설송파구장애인운전교육원서울특별시 송파구 삼학사로2길 49(가락동)윤기종02-412-248602-416-4794사)임마누엘복지재단72021-09-10
46기타복지시설송파구수어통역센터서울특별시 송파구 송파대로 460(송파동)석승모02-424-332302-424-3329사단)한국농아인협회302021-09-10
47기타복지시설서울곰두리체육센터서울특별시 송파구 동남로 271(오금동)강초경02-404-624002-443-8023사단)한국시각장애인연합회30002021-09-10
48기타복지시설송파시각장애인축구장서울특별시 송파구 올림픽로 474(방이동)<NA>02-2202-814402-431-6228서울특별시송파구 장애인체육회172021-09-10
49자립센터서울장애인자립생활센터서울특별시 송파구 오금로 507, 거여빌딩 6층(거여동)박찬오02-404-092002-404-0930사)한국소아마비협회252021-09-10
50자립센터송파솔루션자립생활센터서울특별시 송파구 충민로 10 가든파이브툴 9층 S03호김준우02-402-042002-6008-0491비영리민간단체402021-09-10