Overview

Dataset statistics

Number of variables9
Number of observations45
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory75.9 B

Variable types

Numeric1
Text5
DateTime2
Categorical1

Dataset

Description보건복지부가 공고한 `인천광역시 중증장애인생산품 생산시설 현황` 자료(생산품목, 주소, 전화번호 등)를 제공합니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15045179&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 1 (2.2%) missing valuesMissing
번호 has unique valuesUnique
생산시설의 명칭 has unique valuesUnique
생산 시설장 has unique valuesUnique
생산시설의 주소 has unique valuesUnique

Reproduction

Analysis started2024-04-17 14:19:09.922522
Analysis finished2024-04-17 14:19:10.575188
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-17T23:19:10.643660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2024-04-17T23:19:10.747233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

생산시설의 명칭
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-17T23:19:10.937098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length10.088889
Min length2

Characters and Unicode

Total characters454
Distinct characters135
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

Unique45 ?
Unique (%)100.0%

Sample

1st row예림일터
2nd row사회복지법인손과손 핸인핸
3rd row(사복)인정재단 인정재활관
4th row해내기보호작업장
5th row(사)한국장애인정보화협회 오에이사업장
ValueCountFrequency (%)
예림일터 1
 
1.6%
인천지부 1
 
1.6%
송암보호작업장 1
 
1.6%
예닮 1
 
1.6%
직업재활시설 1
 
1.6%
성동n 1
 
1.6%
사)누리복지회 1
 
1.6%
다솜누리사업단 1
 
1.6%
인천광역시 1
 
1.6%
중구 1
 
1.6%
Other values (52) 52
83.9%
2024-04-17T23:19:11.227802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 24
 
5.3%
인 21
 
4.6%
업 20
 
4.4%
장 19
 
4.2%
17
 
3.7%
회 13
 
2.9%
) 13
 
2.9%
( 12
 
2.6%
복 11
 
2.4%
애 11
 
2.4%
Other values (125) 293
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
89.0%
Space Separator 17
 
3.7%
Close Punctuation 13
 
2.9%
Open Punctuation 12
 
2.6%
Lowercase Letter 5
 
1.1%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 24
 
5.9%
인 21
 
5.2%
업 20
 
5.0%
장 19
 
4.7%
회 13
 
3.2%
복 11
 
2.7%
애 11
 
2.7%
일 9
 
2.2%
한 8
 
2.0%
보 8
 
2.0%
Other values (116) 260
64.4%
Lowercase Letter
ValueCountFrequency (%)
i 2
40.0%
s 1
20.0%
n 1
20.0%
o 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
66.7%
V 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
89.0%
Common 42
 
9.3%
Latin 8
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 24
 
5.9%
인 21
 
5.2%
업 20
 
5.0%
장 19
 
4.7%
회 13
 
3.2%
복 11
 
2.7%
애 11
 
2.7%
일 9
 
2.2%
한 8
 
2.0%
보 8
 
2.0%
Other values (116) 260
64.4%
Latin
ValueCountFrequency (%)
i 2
25.0%
N 2
25.0%
s 1
12.5%
V 1
12.5%
n 1
12.5%
o 1
12.5%
Common
ValueCountFrequency (%)
17
40.5%
) 13
31.0%
( 12
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
89.0%
ASCII 50
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 24
 
5.9%
인 21
 
5.2%
업 20
 
5.0%
장 19
 
4.7%
회 13
 
3.2%
복 11
 
2.7%
애 11
 
2.7%
일 9
 
2.2%
한 8
 
2.0%
보 8
 
2.0%
Other values (116) 260
64.4%
ASCII
ValueCountFrequency (%)
17
34.0%
) 13
26.0%
( 12
24.0%
i 2
 
4.0%
N 2
 
4.0%
s 1
 
2.0%
V 1
 
2.0%
n 1
 
2.0%
o 1
 
2.0%

생산 시설장
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-17T23:19:11.415201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9777778
Min length2

Characters and Unicode

Total characters134
Distinct characters68
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

Unique45 ?
Unique (%)100.0%

Sample

1st row공보연
2nd row김덕준
3rd row홍인식
4th row황성주
5th row이안선
ValueCountFrequency (%)
공보연 1
 
2.2%
김수연 1
 
2.2%
장희원 1
 
2.2%
김숙희 1
 
2.2%
윤문두 1
 
2.2%
이선국 1
 
2.2%
김범철 1
 
2.2%
김미옥 1
 
2.2%
김용기 1
 
2.2%
양창렬 1
 
2.2%
Other values (35) 35
77.8%
2024-04-17T23:19:11.699567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
7.5%
이 6
 
4.5%
윤 5
 
3.7%
연 4
 
3.0%
철 4
 
3.0%
승 4
 
3.0%
수 3
 
2.2%
기 3
 
2.2%
웅 3
 
2.2%
재 3
 
2.2%
Other values (58) 89
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
7.5%
이 6
 
4.5%
윤 5
 
3.7%
연 4
 
3.0%
철 4
 
3.0%
승 4
 
3.0%
수 3
 
2.2%
기 3
 
2.2%
웅 3
 
2.2%
재 3
 
2.2%
Other values (58) 89
66.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
7.5%
이 6
 
4.5%
윤 5
 
3.7%
연 4
 
3.0%
철 4
 
3.0%
승 4
 
3.0%
수 3
 
2.2%
기 3
 
2.2%
웅 3
 
2.2%
재 3
 
2.2%
Other values (58) 89
66.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
7.5%
이 6
 
4.5%
윤 5
 
3.7%
연 4
 
3.0%
철 4
 
3.0%
승 4
 
3.0%
수 3
 
2.2%
기 3
 
2.2%
웅 3
 
2.2%
재 3
 
2.2%
Other values (58) 89
66.4%

생산시설의 주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-17T23:19:11.959427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length26.222222
Min length16

Characters and Unicode

Total characters1180
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 염전로 262-2
2nd row인천광역시 동구 방축로 157번길 48
3rd row인천광역시 서구 서달로 123번안길 24
4th row인천광역시 연수구 동춘동 앵고개로 130인천광역시 남동구 남동서로 113번길 57
5th row인천광역시 계양구 벌말로565번길 41-13
ValueCountFrequency (%)
인천광역시 45
 
19.5%
남동구 8
 
3.5%
부평구 8
 
3.5%
미추홀구 8
 
3.5%
서구 6
 
2.6%
계양구 5
 
2.2%
강화군 4
 
1.7%
33 3
 
1.3%
15 2
 
0.9%
426번길 2
 
0.9%
Other values (131) 140
60.6%
2024-04-17T23:19:12.349559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
15.9%
인 54
 
4.6%
1 52
 
4.4%
천 48
 
4.1%
시 48
 
4.1%
광 46
 
3.9%
역 46
 
3.9%
로 45
 
3.8%
구 43
 
3.6%
2 42
 
3.6%
Other values (127) 568
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 686
58.1%
Decimal Number 241
 
20.4%
Space Separator 188
 
15.9%
Other Punctuation 16
 
1.4%
Dash Punctuation 15
 
1.3%
Close Punctuation 14
 
1.2%
Open Punctuation 14
 
1.2%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 54
 
7.9%
천 48
 
7.0%
시 48
 
7.0%
광 46
 
6.7%
역 46
 
6.7%
로 45
 
6.6%
구 43
 
6.3%
동 31
 
4.5%
길 28
 
4.1%
번 22
 
3.2%
Other values (106) 275
40.1%
Decimal Number
ValueCountFrequency (%)
1 52
21.6%
2 42
17.4%
3 34
14.1%
0 26
10.8%
6 19
 
7.9%
7 18
 
7.5%
4 17
 
7.1%
5 15
 
6.2%
8 12
 
5.0%
9 6
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
D 1
16.7%
R 1
16.7%
C 1
16.7%
E 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 15
93.8%
. 1
 
6.2%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 686
58.1%
Common 488
41.4%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 54
 
7.9%
천 48
 
7.0%
시 48
 
7.0%
광 46
 
6.7%
역 46
 
6.7%
로 45
 
6.6%
구 43
 
6.3%
동 31
 
4.5%
길 28
 
4.1%
번 22
 
3.2%
Other values (106) 275
40.1%
Common
ValueCountFrequency (%)
188
38.5%
1 52
 
10.7%
2 42
 
8.6%
3 34
 
7.0%
0 26
 
5.3%
6 19
 
3.9%
7 18
 
3.7%
4 17
 
3.5%
, 15
 
3.1%
- 15
 
3.1%
Other values (6) 62
 
12.7%
Latin
ValueCountFrequency (%)
B 2
33.3%
D 1
16.7%
R 1
16.7%
C 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 685
58.1%
ASCII 494
41.9%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
38.1%
1 52
 
10.5%
2 42
 
8.5%
3 34
 
6.9%
0 26
 
5.3%
6 19
 
3.8%
7 18
 
3.6%
4 17
 
3.4%
, 15
 
3.0%
- 15
 
3.0%
Other values (11) 68
 
13.8%
Hangul
ValueCountFrequency (%)
인 54
 
7.9%
천 48
 
7.0%
시 48
 
7.0%
광 46
 
6.7%
역 46
 
6.7%
로 45
 
6.6%
구 43
 
6.3%
동 31
 
4.5%
길 28
 
4.1%
번 22
 
3.2%
Other values (105) 274
40.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

전화번호
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size492.0 B
2024-04-17T23:19:12.557932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row032-529-2677
2nd row032-521-7471
3rd row032-574-0457
4th row032-833-7074
5th row1600-2561
ValueCountFrequency (%)
032-529-2677 1
 
2.3%
032-521-7471 1
 
2.3%
032-528-8863 1
 
2.3%
032-932-8243 1
 
2.3%
032-506-7747 1
 
2.3%
032-786-0355 1
 
2.3%
032-881-8410 1
 
2.3%
032-362-9334 1
 
2.3%
070-4210-9143 1
 
2.3%
032-432-8033 1
 
2.3%
Other values (34) 34
77.3%
2024-04-17T23:19:12.870890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 87
16.5%
2 78
14.8%
0 71
13.4%
3 67
12.7%
7 42
8.0%
5 40
7.6%
8 38
7.2%
4 31
 
5.9%
1 30
 
5.7%
6 29
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
83.5%
Dash Punctuation 87
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 78
17.7%
0 71
16.1%
3 67
15.2%
7 42
9.5%
5 40
9.1%
8 38
8.6%
4 31
 
7.0%
1 30
 
6.8%
6 29
 
6.6%
9 15
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 87
16.5%
2 78
14.8%
0 71
13.4%
3 67
12.7%
7 42
8.0%
5 40
7.6%
8 38
7.2%
4 31
 
5.9%
1 30
 
5.7%
6 29
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 87
16.5%
2 78
14.8%
0 71
13.4%
3 67
12.7%
7 42
8.0%
5 40
7.6%
8 38
7.2%
4 31
 
5.9%
1 30
 
5.7%
6 29
 
5.5%

생산품목
Text

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-17T23:19:13.060172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length7.8888889
Min length2

Characters and Unicode

Total characters355
Distinct characters121
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)75.6%

Sample

1st row종이컵
2nd row칫솔류, 판촉물인쇄
3rd row배선용꽂음접속기,화장지류, 조명기구
4th row장갑류, 화장지류
5th row사무용지류, 재생토너카트리지
ValueCountFrequency (%)
사무용지류 4
 
5.6%
판촉물인쇄 4
 
5.6%
제과제빵 3
 
4.2%
세탁 3
 
4.2%
마스크 3
 
4.2%
쇼핑백 3
 
4.2%
소독방역 3
 
4.2%
화장지류 3
 
4.2%
재생토너카트리지 2
 
2.8%
인쇄물 2
 
2.8%
Other values (36) 41
57.7%
2024-04-17T23:19:13.367095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
7.9%
, 23
 
6.5%
류 19
 
5.4%
지 12
 
3.4%
제 9
 
2.5%
용 8
 
2.3%
장 8
 
2.3%
물 7
 
2.0%
인 7
 
2.0%
쇄 6
 
1.7%
Other values (111) 228
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
81.7%
Space Separator 28
 
7.9%
Other Punctuation 25
 
7.0%
Uppercase Letter 10
 
2.8%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 19
 
6.6%
지 12
 
4.1%
제 9
 
3.1%
용 8
 
2.8%
장 8
 
2.8%
물 7
 
2.4%
인 7
 
2.4%
쇄 6
 
2.1%
비 6
 
2.1%
이 6
 
2.1%
Other values (101) 202
69.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
40.0%
V 2
20.0%
T 2
20.0%
P 1
 
10.0%
E 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 23
92.0%
· 2
 
8.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
81.7%
Common 55
 
15.5%
Latin 10
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 19
 
6.6%
지 12
 
4.1%
제 9
 
3.1%
용 8
 
2.8%
장 8
 
2.8%
물 7
 
2.4%
인 7
 
2.4%
쇄 6
 
2.1%
비 6
 
2.1%
이 6
 
2.1%
Other values (101) 202
69.7%
Common
ValueCountFrequency (%)
28
50.9%
, 23
41.8%
· 2
 
3.6%
( 1
 
1.8%
) 1
 
1.8%
Latin
ValueCountFrequency (%)
C 4
40.0%
V 2
20.0%
T 2
20.0%
P 1
 
10.0%
E 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
81.7%
ASCII 63
 
17.7%
None 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
44.4%
, 23
36.5%
C 4
 
6.3%
V 2
 
3.2%
T 2
 
3.2%
P 1
 
1.6%
E 1
 
1.6%
( 1
 
1.6%
) 1
 
1.6%
Hangul
ValueCountFrequency (%)
류 19
 
6.6%
지 12
 
4.1%
제 9
 
3.1%
용 8
 
2.8%
장 8
 
2.8%
물 7
 
2.4%
인 7
 
2.4%
쇄 6
 
2.1%
비 6
 
2.1%
이 6
 
2.1%
Other values (101) 202
69.7%
None
ValueCountFrequency (%)
· 2
100.0%

지정 유효기간(시작일)
Date

Distinct23
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2020-07-20 00:00:00
Maximum2023-06-12 00:00:00
2024-04-17T23:19:13.464761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T23:19:13.552451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

지정 유효기간(종료일)
Date

Distinct23
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2023-07-19 00:00:00
Maximum2026-06-11 00:00:00
2024-04-17T23:19:13.646301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T23:19:13.745554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

시설 유형
Categorical

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
장애인보호작업장
28 
장애인복지단체
11 
장애인근로사업장
3 
장애인보호작업장
 
2
정신질환자직업재활시설
 
1

Length

Max length11
Median length8
Mean length7.8666667
Min length7

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
장애인보호작업장 28
62.2%
장애인복지단체 11
 
24.4%
장애인근로사업장 3
 
6.7%
장애인보호작업장 2
 
4.4%
정신질환자직업재활시설 1
 
2.2%

Length

2024-04-17T23:19:13.844340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T23:19:13.946528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장애인보호작업장 30
66.7%
장애인복지단체 11
 
24.4%
장애인근로사업장 3
 
6.7%
정신질환자직업재활시설 1
 
2.2%

Interactions

2024-04-17T23:19:10.338598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T23:19:14.015704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호생산시설의 명칭생산 시설장생산시설의 주소전화번호생산품목지정 유효기간(시작일)지정 유효기간(종료일)시설 유형
번호1.0001.0001.0001.0001.0000.7860.8930.8930.455
생산시설의 명칭1.0001.0001.0001.0001.0001.0001.0001.0001.000
생산 시설장1.0001.0001.0001.0001.0001.0001.0001.0001.000
생산시설의 주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
생산품목0.7861.0001.0001.0001.0001.0000.7660.7661.000
지정 유효기간(시작일)0.8931.0001.0001.0001.0000.7661.0001.0000.897
지정 유효기간(종료일)0.8931.0001.0001.0001.0000.7661.0001.0000.897
시설 유형0.4551.0001.0001.0001.0001.0000.8970.8971.000
2024-04-17T23:19:14.112294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호시설 유형
번호1.0000.123
시설 유형0.1231.000

Missing values

2024-04-17T23:19:10.422488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T23:19:10.531455image/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

번호생산시설의 명칭생산 시설장생산시설의 주소전화번호생산품목지정 유효기간(시작일)지정 유효기간(종료일)시설 유형
01예림일터공보연인천광역시 미추홀구 염전로 262-2032-529-2677종이컵2021-01-012023-12-31장애인보호작업장
12사회복지법인손과손 핸인핸김덕준인천광역시 동구 방축로 157번길 48032-521-7471칫솔류, 판촉물인쇄2020-11-212023-11-20장애인근로사업장
23(사복)인정재단 인정재활관홍인식인천광역시 서구 서달로 123번안길 24032-574-0457배선용꽂음접속기,화장지류, 조명기구2021-01-012023-12-31장애인보호작업장
34해내기보호작업장황성주인천광역시 연수구 동춘동 앵고개로 130인천광역시 남동구 남동서로 113번길 57032-833-7074장갑류, 화장지류2020-11-212023-11-20장애인보호작업장
45(사)한국장애인정보화협회 오에이사업장이안선인천광역시 계양구 벌말로565번길 41-131600-2561사무용지류, 재생토너카트리지2020-11-212023-11-20장애인복지단체
56(사)한국척수장애인협회 피복사업소정진완인천광역시 부평구 마장로 426번길 33, 3층 1호02-2209-6651피복류2020-11-212023-11-20장애인복지단체
67Vision N윤재웅인천광역시 미추홀구 경원대로 714032-426-1382두부류2020-11-212023-11-20장애인보호작업장
78(사)한국근로장애인진흥회윤기상인천광역시 서구 원당대로608번안길 15032-435-8858사무용지류, 화장지류, CCTV2020-11-212023-11-20장애인복지단체
89예진원류지웅인천광역시 서구 심곡로124번길 10032-568-3276비누2020-11-212023-11-20장애인보호작업장
910미추클린센터길준수인천광역시 미추홀구 인하로 137032-862-2115세탁2020-11-212023-11-20장애인보호작업장
번호생산시설의 명칭생산 시설장생산시설의 주소전화번호생산품목지정 유효기간(시작일)지정 유효기간(종료일)시설 유형
3536열린일터김지혜인천광역시 남동구 담방서로 23번길 17(남동장애인복지관)032-468-7788마스크2021-07-302024-07-29장애인보호작업장
3637이후김상래인천광역시 동구 보세로 26번길 24-16070-4012-1889세탁2021-08-172024-08-16장애인보호작업장
3738우리마을원순철인천광역시 강화군 길상면 길상로 242-28032-937-8691커피점토, 농산물2021-10-292024-10-28장애인근로사업장
3839계양디딤보호작업장박승리인천광역시 계양구 계산천서로 15, 101호ㆍ103호032-777-5234세탁, 청소2021-10-292024-10-28장애인보호작업장
3940(사)행복나눔장애인복지협회 본점작업장임성남인천광역시 부평구 마장로 426번길 33, 202호031-523-5551피복류, 폴리에틸렌로프2021-11-192024-11-18장애인복지단체
4041비젼꿈터이재석인천광역시 계양구 장기로 33, 2층(장기동)032-542-2121소독방역2022-04-292025-04-28장애인보호작업장
4142일도재활관최인수인천광역시 중구 참외전로 149-78(인현동)032-772-0250소독방역, 인쇄물2022-04-292025-04-28장애인보호작업장
4243사)행복일자리운동본부 스마트그린사업단심승보인천광역시 남동구 논현로46번길 39-30, 103호(논현동)<NA>배전반·제어장치2022-11-232025-11-22장애인복지단체
4344미추마루보호작업장홍경란인천광역시 미추홀구 석정로212번길 7 (도화동, 함께걷는 길벗회)032-886-6679쇼핑백2023-04-112026-04-10장애인보호작업장
4445공감보호작업장박세철인천광역시 옹진군 영흥면 영흥로525번길 63-67 (외리, 복지시설)032-880-0480커피점토, 판촉물인쇄2023-04-112026-04-10장애인보호작업장