Overview

Dataset statistics

Number of variables10
Number of observations47
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory84.8 B

Variable types

Categorical3
Text5
Numeric2

Dataset

Description경상북도 장애인직업재활시설 현황 - 일반고용이 어려운 장애인의 자활자립을 도모하기 위해 다양한 일거리제공과 기술교육 등을 실시하는 직업재활시설 (시군명, 운영주체, 시설명, 시설소재지, 시설유형, 현황입니다.)
Author경상북도
URLhttps://www.data.go.kr/data/15063044/fileData.do

Alerts

대상자별 has constant value ""Constant
종사자수 is highly overall correlated with 일일평균_이용자 수 and 1 other fieldsHigh correlation
일일평균_이용자 수 is highly overall correlated with 종사자수High correlation
시설유형 is highly overall correlated with 종사자수High correlation
시설유형 is highly imbalanced (74.6%)Imbalance
법인_개인 is highly imbalanced (62.3%)Imbalance
법인명 has 1 (2.1%) missing valuesMissing
대표자 has 1 (2.1%) missing valuesMissing
시설명 has unique valuesUnique
시설장 has unique valuesUnique
일일평균_이용자 수 has 3 (6.4%) zerosZeros

Reproduction

Analysis started2023-12-12 08:49:05.789189
Analysis finished2023-12-12 08:49:07.185680
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대상자별
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
장애인
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
장애인 47
100.0%

Length

2023-12-12T17:49:07.252744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:07.359649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인 47
100.0%

시설유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
장애인보호작업장
45 
장애인근로사업장
 
2

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row장애인보호작업장
2nd row장애인보호작업장
3rd row장애인보호작업장
4th row장애인근로사업장
5th row장애인보호작업장

Common Values

ValueCountFrequency (%)
장애인보호작업장 45
95.7%
장애인근로사업장 2
 
4.3%

Length

2023-12-12T17:49:07.450102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:07.558967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인보호작업장 45
95.7%
장애인근로사업장 2
 
4.3%

시설명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:49:07.782049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.1489362
Min length2

Characters and Unicode

Total characters383
Distinct characters115
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row포항장애인재활작업장
2nd row포항나누우리터
3rd row카리타스보호작업장
4th row포항바이오파크
5th row경주시장애인보호작업장
ValueCountFrequency (%)
포항장애인재활작업장 1
 
2.1%
친구마을보호작업장 1
 
2.1%
성락보호작업장 1
 
2.1%
그은혜작업장 1
 
2.1%
세중보호작업장 1
 
2.1%
의성군장애인보호작업장 1
 
2.1%
청송군보호작업장 1
 
2.1%
영양군장애인보호작업장 1
 
2.1%
영덕군장애인보호작업장 1
 
2.1%
경상장애인보호작업장 1
 
2.1%
Other values (37) 37
78.7%
2023-12-12T17:49:08.185903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 41
 
10.7%
업 35
 
9.1%
작 29
 
7.6%
호 26
 
6.8%
보 26
 
6.8%
인 13
 
3.4%
애 12
 
3.1%
재 8
 
2.1%
활 8
 
2.1%
터 7
 
1.8%
Other values (105) 178
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
96.9%
Close Punctuation 4
 
1.0%
Open Punctuation 4
 
1.0%
Uppercase Letter 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 41
 
11.1%
업 35
 
9.4%
작 29
 
7.8%
호 26
 
7.0%
보 26
 
7.0%
인 13
 
3.5%
애 12
 
3.2%
재 8
 
2.2%
활 8
 
2.2%
터 7
 
1.9%
Other values (99) 166
44.7%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
C 1
25.0%
K 1
25.0%
D 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 371
96.9%
Common 8
 
2.1%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 41
 
11.1%
업 35
 
9.4%
작 29
 
7.8%
호 26
 
7.0%
보 26
 
7.0%
인 13
 
3.5%
애 12
 
3.2%
재 8
 
2.2%
활 8
 
2.2%
터 7
 
1.9%
Other values (99) 166
44.7%
Latin
ValueCountFrequency (%)
R 1
25.0%
C 1
25.0%
K 1
25.0%
D 1
25.0%
Common
ValueCountFrequency (%)
) 4
50.0%
( 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 371
96.9%
ASCII 12
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 41
 
11.1%
업 35
 
9.4%
작 29
 
7.8%
호 26
 
7.0%
보 26
 
7.0%
인 13
 
3.5%
애 12
 
3.2%
재 8
 
2.2%
활 8
 
2.2%
터 7
 
1.9%
Other values (99) 166
44.7%
ASCII
ValueCountFrequency (%)
) 4
33.3%
( 4
33.3%
R 1
 
8.3%
C 1
 
8.3%
K 1
 
8.3%
D 1
 
8.3%

시설장
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:49:08.443288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9787234
Min length2

Characters and Unicode

Total characters140
Distinct characters73
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

Unique47 ?
Unique (%)100.0%

Sample

1st row이경목
2nd row김영태
3rd row전화진
4th row김상조
5th row박서영
ValueCountFrequency (%)
이경목 1
 
2.1%
이영철 1
 
2.1%
류영태 1
 
2.1%
여동국 1
 
2.1%
김미정 1
 
2.1%
송덕희 1
 
2.1%
임한준 1
 
2.1%
방형구 1
 
2.1%
차광명 1
 
2.1%
김상구 1
 
2.1%
Other values (37) 37
78.7%
2023-12-12T17:49:08.827731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
5.0%
김 7
 
5.0%
영 5
 
3.6%
진 4
 
2.9%
정 4
 
2.9%
덕 3
 
2.1%
희 3
 
2.1%
손 3
 
2.1%
유 3
 
2.1%
승 3
 
2.1%
Other values (63) 98
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
5.0%
김 7
 
5.0%
영 5
 
3.6%
진 4
 
2.9%
정 4
 
2.9%
덕 3
 
2.1%
희 3
 
2.1%
손 3
 
2.1%
유 3
 
2.1%
승 3
 
2.1%
Other values (63) 98
70.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
5.0%
김 7
 
5.0%
영 5
 
3.6%
진 4
 
2.9%
정 4
 
2.9%
덕 3
 
2.1%
희 3
 
2.1%
손 3
 
2.1%
유 3
 
2.1%
승 3
 
2.1%
Other values (63) 98
70.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
5.0%
김 7
 
5.0%
영 5
 
3.6%
진 4
 
2.9%
정 4
 
2.9%
덕 3
 
2.1%
희 3
 
2.1%
손 3
 
2.1%
유 3
 
2.1%
승 3
 
2.1%
Other values (63) 98
70.0%

법인_개인
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
법인
41 
<NA>
 
2
개인
 
2
단체
 
2

Length

Max length4
Median length2
Mean length2.0851064
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 41
87.2%
<NA> 2
 
4.3%
개인 2
 
4.3%
단체 2
 
4.3%

Length

2023-12-12T17:49:09.004120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:09.223887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 41
87.2%
na 2
 
4.3%
개인 2
 
4.3%
단체 2
 
4.3%

법인명
Text

MISSING 

Distinct40
Distinct (%)87.0%
Missing1
Missing (%)2.1%
Memory size508.0 B
2023-12-12T17:49:09.426652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.2173913
Min length2

Characters and Unicode

Total characters378
Distinct characters93
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

Unique35 ?
Unique (%)76.1%

Sample

1st row한국지체장애인협회
2nd row사회복지법인 애명
3rd row대구가톨릭사회복지회
4th row선아랑복지재단
5th row대한불교조계종_사회복지재단
ValueCountFrequency (%)
사회복지법인 6
 
10.9%
안동애명복지촌 3
 
5.5%
천주교안동교구사회복지회 2
 
3.6%
대한불교조계종 2
 
3.6%
사회복지재단 2
 
3.6%
고우이복지재단 2
 
3.6%
애명 2
 
3.6%
대구가톨릭사회복지회 2
 
3.6%
청도군장애인연합회 1
 
1.8%
사)한국장애인가족협회 1
 
1.8%
Other values (32) 32
58.2%
2023-12-12T17:49:09.862863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 32
 
8.5%
복 30
 
7.9%
회 27
 
7.1%
재 20
 
5.3%
사 19
 
5.0%
단 18
 
4.8%
인 14
 
3.7%
애 11
 
2.9%
동 10
 
2.6%
교 9
 
2.4%
Other values (83) 188
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
96.3%
Space Separator 9
 
2.4%
Close Punctuation 2
 
0.5%
Connector Punctuation 2
 
0.5%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 32
 
8.8%
복 30
 
8.2%
회 27
 
7.4%
재 20
 
5.5%
사 19
 
5.2%
단 18
 
4.9%
인 14
 
3.8%
애 11
 
3.0%
동 10
 
2.7%
교 9
 
2.5%
Other values (79) 174
47.8%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
96.3%
Common 14
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 32
 
8.8%
복 30
 
8.2%
회 27
 
7.4%
재 20
 
5.5%
사 19
 
5.2%
단 18
 
4.9%
인 14
 
3.8%
애 11
 
3.0%
동 10
 
2.7%
교 9
 
2.5%
Other values (79) 174
47.8%
Common
ValueCountFrequency (%)
9
64.3%
) 2
 
14.3%
_ 2
 
14.3%
( 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
96.3%
ASCII 14
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 32
 
8.8%
복 30
 
8.2%
회 27
 
7.4%
재 20
 
5.5%
사 19
 
5.2%
단 18
 
4.9%
인 14
 
3.8%
애 11
 
3.0%
동 10
 
2.7%
교 9
 
2.5%
Other values (79) 174
47.8%
ASCII
ValueCountFrequency (%)
9
64.3%
) 2
 
14.3%
_ 2
 
14.3%
( 1
 
7.1%

대표자
Text

MISSING 

Distinct38
Distinct (%)82.6%
Missing1
Missing (%)2.1%
Memory size508.0 B
2023-12-12T17:49:10.118458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.1521739
Min length3

Characters and Unicode

Total characters145
Distinct characters68
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

Unique33 ?
Unique (%)71.7%

Sample

1st row김광환
2nd row배영철
3rd row박석재
4th row김상조
5th row김용성_(종우스님)
ValueCountFrequency (%)
배영철 5
 
10.9%
권혁주 2
 
4.3%
이규정 2
 
4.3%
김순선 2
 
4.3%
박석재 2
 
4.3%
박종구 1
 
2.2%
조순득 1
 
2.2%
최광경 1
 
2.2%
임한준 1
 
2.2%
강영숙 1
 
2.2%
Other values (28) 28
60.9%
2023-12-12T17:49:10.510522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 12
 
8.3%
영 9
 
6.2%
박 6
 
4.1%
배 5
 
3.4%
이 5
 
3.4%
우 5
 
3.4%
철 5
 
3.4%
정 4
 
2.8%
석 4
 
2.8%
순 4
 
2.8%
Other values (58) 86
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142
97.9%
Connector Punctuation 1
 
0.7%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
8.5%
영 9
 
6.3%
박 6
 
4.2%
배 5
 
3.5%
이 5
 
3.5%
우 5
 
3.5%
철 5
 
3.5%
정 4
 
2.8%
석 4
 
2.8%
순 4
 
2.8%
Other values (55) 83
58.5%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142
97.9%
Common 3
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
8.5%
영 9
 
6.3%
박 6
 
4.2%
배 5
 
3.5%
이 5
 
3.5%
우 5
 
3.5%
철 5
 
3.5%
정 4
 
2.8%
석 4
 
2.8%
순 4
 
2.8%
Other values (55) 83
58.5%
Common
ValueCountFrequency (%)
_ 1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142
97.9%
ASCII 3
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 12
 
8.5%
영 9
 
6.3%
박 6
 
4.2%
배 5
 
3.5%
이 5
 
3.5%
우 5
 
3.5%
철 5
 
3.5%
정 4
 
2.8%
석 4
 
2.8%
순 4
 
2.8%
Other values (55) 83
58.5%
ASCII
ValueCountFrequency (%)
_ 1
33.3%
( 1
33.3%
) 1
33.3%

소재지
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T17:49:10.839213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length17.276596
Min length11

Characters and Unicode

Total characters812
Distinct characters122
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)93.6%

Sample

1st row포항시 북구 동해대로 2694-41(청하면)
2nd row포항시 북구 흥해읍 사방공원길 502
3rd row포항시 북구 청하면 사방공원길 35
4th row포항시 남구 섬안로 185
5th row경주시 유림로5번길 99-4(황성동)
ValueCountFrequency (%)
안동시 6
 
3.2%
칠곡군 5
 
2.7%
포항시 4
 
2.1%
북후면 4
 
2.1%
경북 4
 
2.1%
경주시 4
 
2.1%
경산시 3
 
1.6%
영주시 3
 
1.6%
북구 3
 
1.6%
상주시 3
 
1.6%
Other values (137) 149
79.3%
2023-12-12T17:49:11.291314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
17.4%
1 33
 
4.1%
2 32
 
3.9%
길 31
 
3.8%
면 29
 
3.6%
시 28
 
3.4%
- 23
 
2.8%
5 22
 
2.7%
로 21
 
2.6%
군 21
 
2.6%
Other values (112) 431
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 461
56.8%
Decimal Number 177
 
21.8%
Space Separator 141
 
17.4%
Dash Punctuation 23
 
2.8%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 31
 
6.7%
면 29
 
6.3%
시 28
 
6.1%
로 21
 
4.6%
군 21
 
4.6%
산 15
 
3.3%
동 15
 
3.3%
경 14
 
3.0%
북 14
 
3.0%
주 13
 
2.8%
Other values (98) 260
56.4%
Decimal Number
ValueCountFrequency (%)
1 33
18.6%
2 32
18.1%
5 22
12.4%
4 16
9.0%
8 15
8.5%
3 12
 
6.8%
6 12
 
6.8%
9 12
 
6.8%
0 12
 
6.8%
7 11
 
6.2%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 461
56.8%
Common 351
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 31
 
6.7%
면 29
 
6.3%
시 28
 
6.1%
로 21
 
4.6%
군 21
 
4.6%
산 15
 
3.3%
동 15
 
3.3%
경 14
 
3.0%
북 14
 
3.0%
주 13
 
2.8%
Other values (98) 260
56.4%
Common
ValueCountFrequency (%)
141
40.2%
1 33
 
9.4%
2 32
 
9.1%
- 23
 
6.6%
5 22
 
6.3%
4 16
 
4.6%
8 15
 
4.3%
3 12
 
3.4%
6 12
 
3.4%
9 12
 
3.4%
Other values (4) 33
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 461
56.8%
ASCII 351
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
40.2%
1 33
 
9.4%
2 32
 
9.1%
- 23
 
6.6%
5 22
 
6.3%
4 16
 
4.6%
8 15
 
4.3%
3 12
 
3.4%
6 12
 
3.4%
9 12
 
3.4%
Other values (4) 33
 
9.4%
Hangul
ValueCountFrequency (%)
길 31
 
6.7%
면 29
 
6.3%
시 28
 
6.1%
로 21
 
4.6%
군 21
 
4.6%
산 15
 
3.3%
동 15
 
3.3%
경 14
 
3.0%
북 14
 
3.0%
주 13
 
2.8%
Other values (98) 260
56.4%

종사자수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9361702
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:49:11.425835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q37
95-th percentile9.7
Maximum19
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7615706
Coefficient of variation (CV)0.46521081
Kurtosis10.164964
Mean5.9361702
Median Absolute Deviation (MAD)1
Skewness2.3202744
Sum279
Variance7.626272
MonotonicityNot monotonic
2023-12-12T17:49:11.536355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 11
23.4%
6 10
21.3%
4 10
21.3%
5 5
10.6%
3 3
 
6.4%
8 2
 
4.3%
9 1
 
2.1%
10 1
 
2.1%
19 1
 
2.1%
11 1
 
2.1%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
3 3
 
6.4%
4 10
21.3%
5 5
10.6%
6 10
21.3%
7 11
23.4%
8 2
 
4.3%
9 1
 
2.1%
10 1
 
2.1%
ValueCountFrequency (%)
19 1
 
2.1%
11 1
 
2.1%
10 1
 
2.1%
9 1
 
2.1%
8 2
 
4.3%
7 11
23.4%
6 10
21.3%
5 5
10.6%
4 10
21.3%
3 3
 
6.4%

일일평균_이용자 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.829787
Minimum0
Maximum60
Zeros3
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T17:49:11.651976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q120
median29
Q332
95-th percentile44.7
Maximum60
Range60
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.931793
Coefficient of variation (CV)0.48199387
Kurtosis1.1396078
Mean26.829787
Median Absolute Deviation (MAD)4
Skewness0.067492162
Sum1261
Variance167.23127
MonotonicityNot monotonic
2023-12-12T17:49:11.764064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30 9
19.1%
20 4
 
8.5%
33 3
 
6.4%
0 3
 
6.4%
29 3
 
6.4%
32 3
 
6.4%
26 3
 
6.4%
25 2
 
4.3%
60 2
 
4.3%
43 2
 
4.3%
Other values (13) 13
27.7%
ValueCountFrequency (%)
0 3
6.4%
2 1
 
2.1%
10 1
 
2.1%
11 1
 
2.1%
14 1
 
2.1%
16 1
 
2.1%
17 1
 
2.1%
19 1
 
2.1%
20 4
8.5%
23 1
 
2.1%
ValueCountFrequency (%)
60 2
 
4.3%
45 1
 
2.1%
44 1
 
2.1%
43 2
 
4.3%
35 1
 
2.1%
33 3
 
6.4%
32 3
 
6.4%
31 1
 
2.1%
30 9
19.1%
29 3
 
6.4%

Interactions

2023-12-12T17:49:06.553878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:49:06.345992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:49:06.676262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:49:06.437538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:49:11.855310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설명시설장법인_개인법인명대표자소재지종사자수일일평균_이용자 수
시설유형1.0001.0001.0000.0001.0001.0001.0000.7720.452
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.0001.0001.0001.000
법인_개인0.0001.0001.0001.0001.0001.0001.0000.0000.604
법인명1.0001.0001.0001.0001.0001.0001.0000.9070.963
대표자1.0001.0001.0001.0001.0001.0001.0000.8980.965
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
종사자수0.7721.0001.0000.0000.9070.8981.0001.0000.703
일일평균_이용자 수0.4521.0001.0000.6040.9630.9651.0000.7031.000
2023-12-12T17:49:11.982904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인_개인시설유형
법인_개인1.0000.000
시설유형0.0001.000
2023-12-12T17:49:12.090259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종사자수일일평균_이용자 수시설유형법인_개인
종사자수1.0000.7930.9430.000
일일평균_이용자 수0.7931.0000.3640.441
시설유형0.9430.3641.0000.000
법인_개인0.0000.4410.0001.000

Missing values

2023-12-12T17:49:06.838017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:49:07.002430image/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.
2023-12-12T17:49:07.124165image/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

대상자별시설유형시설명시설장법인_개인법인명대표자소재지종사자수일일평균_이용자 수
0장애인장애인보호작업장포항장애인재활작업장이경목법인한국지체장애인협회김광환포항시 북구 동해대로 2694-41(청하면)930
1장애인장애인보호작업장포항나누우리터김영태법인사회복지법인 애명배영철포항시 북구 흥해읍 사방공원길 502730
2장애인장애인보호작업장카리타스보호작업장전화진법인대구가톨릭사회복지회박석재포항시 북구 청하면 사방공원길 351060
3장애인장애인근로사업장포항바이오파크김상조법인선아랑복지재단김상조포항시 남구 섬안로 1851960
4장애인장애인보호작업장경주시장애인보호작업장박서영법인대한불교조계종_사회복지재단김용성_(종우스님)경주시 유림로5번길 99-4(황성동)644
5장애인장애인보호작업장선명직업재활원최종학법인상록수박태규경주시 산내면 대현길 436-42420
6장애인장애인보호작업장누리봄일터정재훈법인민재문영우경주시 내남면 안심길 287-16423
7장애인장애인보호작업장아띠보호작업장백성진법인은혜원전정아경주시 강동면 안계길 51417
8장애인장애인보호작업장다온보호작업장송태정법인송이복지재단이납순김천시 봉산면 광천5길 80630
9장애인장애인보호작업장참사랑보호작업장류봉기법인안동애명복지촌배영철안동시 북후면 광평2길 106-25630
대상자별시설유형시설명시설장법인_개인법인명대표자소재지종사자수일일평균_이용자 수
37장애인장애인보호작업장금강장애인직업재활시설송영국법인대한불교_천태종복지재단이문덕경북 칠곡군 석적읍 석적로 192-9420
38장애인장애인보호작업장밀알희망일터서동협법인사회복지법인 밀알공동체김광식경북 칠곡군 가산면 유학로 918-1420
39장애인장애인보호작업장칠곡장애인보호작업장허훈법인사)한국지적발달장애인복지협회박선자경북 칠곡군 왜관읍 2번도로길 55-1110
40장애인장애인보호작업장유위드최공익개인<NA><NA>경북 칠곡군 지천면 금송로 329-5630
41장애인장애인보호작업장직업재활시설DKRC손제은법인사회복지법인 남경손제은칠곡군 지천면 칠곡대로 2268-42 나동22
42장애인장애인보호작업장예천보호작업장이광준법인애명배영철예천군 개포면 용개로 702-37730
43장애인장애인보호작업장한결이인희<NA>사회적협동조합 피움박경구예천군 예천읍 경서로 2462-7840
44장애인장애인보호작업장하눌보호작업장최상경법인사회복지법인하눌조석현봉화군 상운면 이동길5725
45장애인장애인보호작업장울진군장애인보호작업장신철호법인고우이복지재단김순선울진군 평해읍 평오곡길 51-159725
46장애인장애인보호작업장푸르미작업장김건수법인고우이복지재단김순선울진군 죽변면 산내성로 481626