Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory68.5 B

Variable types

Numeric1
Categorical1
Text6

Dataset

Description인천광역시 장애인 직업재활시설 현황 데이터(시설유형, 시설장, 소재지, 전화번호, 운영법인, 주생산품 등) 입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15095592&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 시설별High correlation
시설별 is highly overall correlated with 연번High correlation
시설별 is highly imbalanced (60.2%)Imbalance
시설장 has 1 (2.6%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:59:28.565814
Analysis finished2024-01-28 15:59:29.278413
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-01-29T00:59:29.332276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2024-01-29T00:59:29.441528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

시설별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
보호작업장
35 
근로사업장
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근로사업장
2nd row근로사업장
3rd row근로사업장
4th row보호작업장
5th row보호작업장

Common Values

ValueCountFrequency (%)
보호작업장 35
92.1%
근로사업장 3
 
7.9%

Length

2024-01-29T00:59:29.546246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:59:29.624150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보호작업장 35
92.1%
근로사업장 3
 
7.9%

시설명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-29T00:59:29.776538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.5
Min length2

Characters and Unicode

Total characters171
Distinct characters95
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row핸인핸
2nd row우리마을
3rd row서구구립
4th row중구장애인
5th row일도재활관
ValueCountFrequency (%)
핸인핸 2
 
4.7%
비전꿈터 1
 
2.3%
예닮 1
 
2.3%
아이드림 1
 
2.3%
부평지점 1
 
2.3%
스마트재활일터 1
 
2.3%
굿윌스토어 1
 
2.3%
부평점 1
 
2.3%
노틀담베이커리 1
 
2.3%
해피로드 1
 
2.3%
Other values (32) 32
74.4%
2024-01-29T00:59:30.053340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
7.0%
인 7
 
4.1%
터 7
 
4.1%
일 6
 
3.5%
이 5
 
2.9%
핸 4
 
2.3%
예 4
 
2.3%
드 4
 
2.3%
림 4
 
2.3%
애 4
 
2.3%
Other values (85) 114
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
92.4%
Space Separator 12
 
7.0%
Uppercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 7
 
4.4%
터 7
 
4.4%
일 6
 
3.8%
이 5
 
3.2%
핸 4
 
2.5%
예 4
 
2.5%
드 4
 
2.5%
림 4
 
2.5%
애 4
 
2.5%
장 3
 
1.9%
Other values (83) 110
69.6%
Space Separator
ValueCountFrequency (%)
12
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
92.4%
Common 12
 
7.0%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 7
 
4.4%
터 7
 
4.4%
일 6
 
3.8%
이 5
 
3.2%
핸 4
 
2.5%
예 4
 
2.5%
드 4
 
2.5%
림 4
 
2.5%
애 4
 
2.5%
장 3
 
1.9%
Other values (83) 110
69.6%
Common
ValueCountFrequency (%)
12
100.0%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
92.4%
ASCII 13
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
92.3%
N 1
 
7.7%
Hangul
ValueCountFrequency (%)
인 7
 
4.4%
터 7
 
4.4%
일 6
 
3.8%
이 5
 
3.2%
핸 4
 
2.5%
예 4
 
2.5%
드 4
 
2.5%
림 4
 
2.5%
애 4
 
2.5%
장 3
 
1.9%
Other values (83) 110
69.6%

시설장
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing1
Missing (%)2.6%
Memory size436.0 B
2024-01-29T00:59:30.231213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters111
Distinct characters64
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

Unique37 ?
Unique (%)100.0%

Sample

1st row김덕준
2nd row이대성
3rd row이주연
4th row이선국
5th row최인수
ValueCountFrequency (%)
김덕준 1
 
2.7%
김숙희 1
 
2.7%
장희원 1
 
2.7%
조봉용 1
 
2.7%
진영곤 1
 
2.7%
임승규 1
 
2.7%
이승찬 1
 
2.7%
박한용 1
 
2.7%
이재석 1
 
2.7%
류지웅 1
 
2.7%
Other values (27) 27
73.0%
2024-01-29T00:59:30.517397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
8.1%
이 5
 
4.5%
연 4
 
3.6%
용 4
 
3.6%
희 3
 
2.7%
창 3
 
2.7%
기 3
 
2.7%
지 3
 
2.7%
윤 3
 
2.7%
성 3
 
2.7%
Other values (54) 71
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
8.1%
이 5
 
4.5%
연 4
 
3.6%
용 4
 
3.6%
희 3
 
2.7%
창 3
 
2.7%
기 3
 
2.7%
지 3
 
2.7%
윤 3
 
2.7%
성 3
 
2.7%
Other values (54) 71
64.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
8.1%
이 5
 
4.5%
연 4
 
3.6%
용 4
 
3.6%
희 3
 
2.7%
창 3
 
2.7%
기 3
 
2.7%
지 3
 
2.7%
윤 3
 
2.7%
성 3
 
2.7%
Other values (54) 71
64.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
8.1%
이 5
 
4.5%
연 4
 
3.6%
용 4
 
3.6%
희 3
 
2.7%
창 3
 
2.7%
기 3
 
2.7%
지 3
 
2.7%
윤 3
 
2.7%
성 3
 
2.7%
Other values (54) 71
64.0%

소재지
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-29T00:59:30.750582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length25.789474
Min length20

Characters and Unicode

Total characters980
Distinct characters119
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

Unique38 ?
Unique (%)100.0%

Sample

1st row인천광역시 동구 방축로 157번길 48(송림동)
2nd row인천광역시 강화군 길상면 길상로 242-28
3rd row인천광역시 서구 마중1로 12(오류동)
4th row인천광역시 중구 매소홀로 10 (신흥동3가)
5th row인천광역시 중구 참외전로 149-78,305호(인현동)
ValueCountFrequency (%)
인천광역시 38
 
21.5%
미추홀구 8
 
4.5%
서구 7
 
4.0%
부평구 7
 
4.0%
경인로 4
 
2.3%
계양구 4
 
2.3%
강화군 3
 
1.7%
남동구 3
 
1.7%
길상면 2
 
1.1%
중구 2
 
1.1%
Other values (96) 99
55.9%
2024-01-29T00:59:31.138031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
15.0%
인 47
 
4.8%
천 39
 
4.0%
동 39
 
4.0%
광 38
 
3.9%
역 38
 
3.9%
시 38
 
3.9%
로 36
 
3.7%
구 36
 
3.7%
2 34
 
3.5%
Other values (109) 488
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
59.5%
Decimal Number 167
 
17.0%
Space Separator 147
 
15.0%
Close Punctuation 32
 
3.3%
Open Punctuation 32
 
3.3%
Dash Punctuation 9
 
0.9%
Other Punctuation 8
 
0.8%
Uppercase Letter 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 47
 
8.1%
천 39
 
6.7%
동 39
 
6.7%
광 38
 
6.5%
역 38
 
6.5%
시 38
 
6.5%
로 36
 
6.2%
구 36
 
6.2%
길 20
 
3.4%
번 15
 
2.6%
Other values (92) 237
40.7%
Decimal Number
ValueCountFrequency (%)
2 34
20.4%
1 33
19.8%
3 20
12.0%
0 18
10.8%
7 15
9.0%
5 12
 
7.2%
6 12
 
7.2%
8 10
 
6.0%
4 10
 
6.0%
9 3
 
1.8%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
59.5%
Common 396
40.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 47
 
8.1%
천 39
 
6.7%
동 39
 
6.7%
광 38
 
6.5%
역 38
 
6.5%
시 38
 
6.5%
로 36
 
6.2%
구 36
 
6.2%
길 20
 
3.4%
번 15
 
2.6%
Other values (92) 237
40.7%
Common
ValueCountFrequency (%)
147
37.1%
2 34
 
8.6%
1 33
 
8.3%
) 32
 
8.1%
( 32
 
8.1%
3 20
 
5.1%
0 18
 
4.5%
7 15
 
3.8%
5 12
 
3.0%
6 12
 
3.0%
Other values (6) 41
 
10.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
59.5%
ASCII 397
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
37.0%
2 34
 
8.6%
1 33
 
8.3%
) 32
 
8.1%
( 32
 
8.1%
3 20
 
5.0%
0 18
 
4.5%
7 15
 
3.8%
5 12
 
3.0%
6 12
 
3.0%
Other values (7) 42
 
10.6%
Hangul
ValueCountFrequency (%)
인 47
 
8.1%
천 39
 
6.7%
동 39
 
6.7%
광 38
 
6.5%
역 38
 
6.5%
시 38
 
6.5%
로 36
 
6.2%
구 36
 
6.2%
길 20
 
3.4%
번 15
 
2.6%
Other values (92) 237
40.7%

전화번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-29T00:59:31.322346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.078947
Min length12

Characters and Unicode

Total characters459
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

Unique38 ?
Unique (%)100.0%

Sample

1st row032-521-7471
2nd row032-937-8691
3rd row032-569-7452
4th row032-881-2480
5th row032-772-0250
ValueCountFrequency (%)
032-521-7471 1
 
2.6%
070-7102-6458 1
 
2.6%
032-932-8283 1
 
2.6%
032-508-3772 1
 
2.6%
032-528-0337 1
 
2.6%
032-715-4775 1
 
2.6%
032-511-9293 1
 
2.6%
032-542-3711 1
 
2.6%
032-549-4322 1
 
2.6%
032-568-3276 1
 
2.6%
Other values (28) 28
73.7%
2024-01-29T00:59:31.608082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.6%
2 67
14.6%
0 61
13.3%
3 58
12.6%
7 38
8.3%
8 36
7.8%
5 34
7.4%
6 26
 
5.7%
1 25
 
5.4%
4 23
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 383
83.4%
Dash Punctuation 76
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 67
17.5%
0 61
15.9%
3 58
15.1%
7 38
9.9%
8 36
9.4%
5 34
8.9%
6 26
 
6.8%
1 25
 
6.5%
4 23
 
6.0%
9 15
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 459
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.6%
2 67
14.6%
0 61
13.3%
3 58
12.6%
7 38
8.3%
8 36
7.8%
5 34
7.4%
6 26
 
5.7%
1 25
 
5.4%
4 23
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 459
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.6%
2 67
14.6%
0 61
13.3%
3 58
12.6%
7 38
8.3%
8 36
7.8%
5 34
7.4%
6 26
 
5.7%
1 25
 
5.4%
4 23
 
5.0%

운영법인
Text

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-29T00:59:31.813257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length9.8947368
Min length5

Characters and Unicode

Total characters376
Distinct characters93
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

Unique31 ?
Unique (%)81.6%

Sample

1st row사복)손과손
2nd row대한성공회 서울교구 사회복지재단
3rd row서구청(직영)
4th row사복)기아대책
5th row사복)인정재단
ValueCountFrequency (%)
사복)인정재단 3
 
5.6%
사복)손과손 3
 
5.6%
사회적협동조합 2
 
3.7%
사복)감리회 2
 
3.7%
사회복지재단 2
 
3.7%
태화복지재단 2
 
3.7%
사복)송암복지재단 1
 
1.9%
사단)사랑방 1
 
1.9%
사복)모퉁이 1
 
1.9%
사복)성원 1
 
1.9%
Other values (36) 36
66.7%
2024-01-29T00:59:32.134737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 36
 
9.6%
) 33
 
8.8%
복 32
 
8.5%
단 24
 
6.4%
23
 
6.1%
재 18
 
4.8%
회 18
 
4.8%
지 16
 
4.3%
인 12
 
3.2%
협 7
 
1.9%
Other values (83) 157
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
84.6%
Close Punctuation 33
 
8.8%
Space Separator 23
 
6.1%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 36
 
11.3%
복 32
 
10.1%
단 24
 
7.5%
재 18
 
5.7%
회 18
 
5.7%
지 16
 
5.0%
인 12
 
3.8%
협 7
 
2.2%
성 7
 
2.2%
천 7
 
2.2%
Other values (80) 141
44.3%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
84.6%
Common 58
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 36
 
11.3%
복 32
 
10.1%
단 24
 
7.5%
재 18
 
5.7%
회 18
 
5.7%
지 16
 
5.0%
인 12
 
3.8%
협 7
 
2.2%
성 7
 
2.2%
천 7
 
2.2%
Other values (80) 141
44.3%
Common
ValueCountFrequency (%)
) 33
56.9%
23
39.7%
( 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
84.6%
ASCII 58
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 36
 
11.3%
복 32
 
10.1%
단 24
 
7.5%
재 18
 
5.7%
회 18
 
5.7%
지 16
 
5.0%
인 12
 
3.8%
협 7
 
2.2%
성 7
 
2.2%
천 7
 
2.2%
Other values (80) 141
44.3%
ASCII
ValueCountFrequency (%)
) 33
56.9%
23
39.7%
( 2
 
3.4%

주생산품
Text

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-01-29T00:59:32.302659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length4.6842105
Min length2

Characters and Unicode

Total characters178
Distinct characters95
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

Unique29 ?
Unique (%)76.3%

Sample

1st row칫솔
2nd row콩나물
3rd row종량제봉투
4th row일자플러그
5th row멀티콘센트, 소독, 방역
ValueCountFrequency (%)
임가공 5
 
10.4%
조립 3
 
6.2%
세탁 2
 
4.2%
제과제빵 2
 
4.2%
쇼핑백 2
 
4.2%
멀티콘센트 2
 
4.2%
복사용지 2
 
4.2%
조미김 1
 
2.1%
현수막 1
 
2.1%
음악공연 1
 
2.1%
Other values (27) 27
56.2%
2024-01-29T00:59:32.566107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.2%
가 7
 
3.9%
공 7
 
3.9%
임 6
 
3.4%
제 6
 
3.4%
조 5
 
2.8%
, 5
 
2.8%
물 4
 
2.2%
지 4
 
2.2%
립 3
 
1.7%
Other values (85) 120
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
89.9%
Space Separator 11
 
6.2%
Other Punctuation 5
 
2.8%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 7
 
4.4%
공 7
 
4.4%
임 6
 
3.8%
제 6
 
3.8%
조 5
 
3.1%
물 4
 
2.5%
지 4
 
2.5%
립 3
 
1.9%
세 3
 
1.9%
탁 3
 
1.9%
Other values (81) 112
70.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
89.9%
Common 18
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 7
 
4.4%
공 7
 
4.4%
임 6
 
3.8%
제 6
 
3.8%
조 5
 
3.1%
물 4
 
2.5%
지 4
 
2.5%
립 3
 
1.9%
세 3
 
1.9%
탁 3
 
1.9%
Other values (81) 112
70.0%
Common
ValueCountFrequency (%)
11
61.1%
, 5
27.8%
( 1
 
5.6%
) 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
89.9%
ASCII 18
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
61.1%
, 5
27.8%
( 1
 
5.6%
) 1
 
5.6%
Hangul
ValueCountFrequency (%)
가 7
 
4.4%
공 7
 
4.4%
임 6
 
3.8%
제 6
 
3.8%
조 5
 
3.1%
물 4
 
2.5%
지 4
 
2.5%
립 3
 
1.9%
세 3
 
1.9%
탁 3
 
1.9%
Other values (81) 112
70.0%

Interactions

2024-01-29T00:59:29.019892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:59:32.644982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설별시설명시설장소재지전화번호운영법인주생산품
연번1.0000.9461.0001.0001.0001.0000.8740.584
시설별0.9461.0001.0001.0001.0001.0000.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.000
시설장1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
운영법인0.8740.0001.0001.0001.0001.0001.0000.722
주생산품0.5841.0001.0001.0001.0001.0000.7221.000
2024-01-29T00:59:32.736493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설별
연번1.0000.706
시설별0.7061.000

Missing values

2024-01-29T00:59:29.116786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:59:29.240131image/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

연번시설별시설명시설장소재지전화번호운영법인주생산품
01근로사업장핸인핸김덕준인천광역시 동구 방축로 157번길 48(송림동)032-521-7471사복)손과손칫솔
12근로사업장우리마을이대성인천광역시 강화군 길상면 길상로 242-28032-937-8691대한성공회 서울교구 사회복지재단콩나물
23근로사업장서구구립이주연인천광역시 서구 마중1로 12(오류동)032-569-7452서구청(직영)종량제봉투
34보호작업장중구장애인이선국인천광역시 중구 매소홀로 10 (신흥동3가)032-881-2480사복)기아대책일자플러그
45보호작업장일도재활관최인수인천광역시 중구 참외전로 149-78,305호(인현동)032-772-0250사복)인정재단멀티콘센트, 소독, 방역
56보호작업장이 후김상래인천광역시 동구 보세로26번길24-16070-4012-1889사회적협동조합 한뜻세탁
67보호작업장애호일터추연윤인천광역시 미추홀구 경인로 345, 2층(주안동)032-863-9255사단)인천지적발달 장애인복지협회판촉물인쇄
78보호작업장길벗장애인김인봉인천광역시 미추홀구 석정로212번길 7(도화동)032-886-6679사단)함께걷는 길벗회임가공 조립
89보호작업장어울림카페오창석인천광역시 미추홀구 경인로 345 (주안동)032-866-3270사복)감리회 태화복지재단커피및음료
910보호작업장비전앤윤재웅인천광역시 미추홀구 경원대로 714 (관교동)032-426-1382재단)대한성공회 유지재단두부
연번시설별시설명시설장소재지전화번호운영법인주생산품
2829보호작업장계양디딤박승리인천광역시 계양구 계산천서로 15, 101,103호(계산동_)032-777-5234사회적협동조합 디딤세탁
2930보호작업장예진원류지웅인천광역시 서구 심곡로124번길 10(심곡동)032-568-3276사복)감리회 태화복지재단비누
3031보호작업장인정재활관홍인식인천광역시 서구 서달로123번안길 24(석남동)032-574-0457사복)인정재단멀티콘센트
3132보호작업장두드림김중기인천광역시 서구 드림로 284-8 (백석동)032-569-1267사복)기독교대한 감리회 사회복지재단임가공 포장
3233보호작업장창익양창렬인천광역시 서구 북항로120번길 13-6(원창동)032-568-1254사회적협동조합지심가구
3334보호작업장장애인예술단정지선인천광역시 서구 북항로 32번길 37(원창동)032-574-0250사복)인정재단음악공연
3435보호작업장그린페이퍼최원호인천광역시 서구 보듬로158 검단지식산업센터 블루텍 106호(오류동)032-551-1650사회적협동조합일원복사용지,
3536보호작업장모 아유상욱인천광역시 강화군 길상면 장촌길 31032-362-9334사복)색동원곡물재배
3637보호작업장예닮장희원인천광역시 강화군 강화읍 갑룡길 206번길 66032-932-8283사복)예닮제과제빵
3738보호작업장공감김만희인천광역시 옹진군 영흥면 영흥로525번길 63-67032-880-0480사복)효양임가공(주방용품)