Overview

Dataset statistics

Number of variables7
Number of observations299
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory57.4 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description인천시 관내 (예비)사회적기업의 기관명, 업종, 서비스유형(사업내용), 관할 구, 인증유무, 주소 등의 정보를 제공합니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15099887/fileData.do

Alerts

연번 is highly overall correlated with 구 분High correlation
구 분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기 업 명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 03:41:31.945882
Analysis finished2024-03-23 03:41:42.212692
Duration10.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150
Minimum1
Maximum299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-03-23T03:41:42.741524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.9
Q175.5
median150
Q3224.5
95-th percentile284.1
Maximum299
Range298
Interquartile range (IQR)149

Descriptive statistics

Standard deviation86.458082
Coefficient of variation (CV)0.57638722
Kurtosis-1.2
Mean150
Median Absolute Deviation (MAD)75
Skewness0
Sum44850
Variance7475
MonotonicityStrictly increasing
2024-03-23T03:41:43.717918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
207 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
Other values (289) 289
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%

구 분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
인증
213 
예비(지역형)
51 
예비(부처형)
35 

Length

Max length7
Median length2
Mean length3.4381271
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 213
71.2%
예비(지역형) 51
 
17.1%
예비(부처형) 35
 
11.7%

Length

2024-03-23T03:41:44.442928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:41:45.074420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 213
71.2%
예비(지역형 51
 
17.1%
예비(부처형 35
 
11.7%

기 업 명
Text

UNIQUE 

Distinct299
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-23T03:41:45.702692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length7.722408
Min length3

Characters and Unicode

Total characters2309
Distinct characters399
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

Unique299 ?
Unique (%)100.0%

Sample

1st row㈜정부물품재활용
2nd row㈜두손테크
3rd row㈜인천개항
4th row㈜해피크린
5th row사회적협동조합엠커뮤니티
ValueCountFrequency (%)
사회적협동조합 13
 
3.7%
협동조합 9
 
2.6%
농업회사법인 4
 
1.1%
㈜다사랑 2
 
0.6%
손과손 2
 
0.6%
사회복지법인 2
 
0.6%
인천 2
 
0.6%
㈜스타아트아카데미 1
 
0.3%
㈜유니디자인경영연구소 1
 
0.3%
㈜몬스터레코드 1
 
0.3%
Other values (314) 314
89.5%
2024-03-23T03:41:46.996571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 231
 
10.0%
사 66
 
2.9%
66
 
2.9%
동 55
 
2.4%
이 54
 
2.3%
스 54
 
2.3%
합 52
 
2.3%
조 50
 
2.2%
협 49
 
2.1%
회 43
 
1.9%
Other values (389) 1589
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1948
84.4%
Other Symbol 231
 
10.0%
Space Separator 66
 
2.9%
Uppercase Letter 32
 
1.4%
Open Punctuation 12
 
0.5%
Close Punctuation 12
 
0.5%
Other Punctuation 4
 
0.2%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 66
 
3.4%
동 55
 
2.8%
이 54
 
2.8%
스 54
 
2.8%
합 52
 
2.7%
조 50
 
2.6%
협 49
 
2.5%
회 43
 
2.2%
인 40
 
2.1%
아 30
 
1.5%
Other values (367) 1455
74.7%
Uppercase Letter
ValueCountFrequency (%)
O 6
18.8%
I 4
12.5%
P 4
12.5%
E 3
9.4%
L 3
9.4%
R 2
 
6.2%
C 2
 
6.2%
M 1
 
3.1%
N 1
 
3.1%
S 1
 
3.1%
Other values (5) 5
15.6%
Lowercase Letter
ValueCountFrequency (%)
n 2
50.0%
c 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 231
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2179
94.4%
Common 94
 
4.1%
Latin 36
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 231
 
10.6%
사 66
 
3.0%
동 55
 
2.5%
이 54
 
2.5%
스 54
 
2.5%
합 52
 
2.4%
조 50
 
2.3%
협 49
 
2.2%
회 43
 
2.0%
인 40
 
1.8%
Other values (368) 1485
68.2%
Latin
ValueCountFrequency (%)
O 6
16.7%
I 4
11.1%
P 4
11.1%
E 3
8.3%
L 3
8.3%
R 2
 
5.6%
n 2
 
5.6%
c 2
 
5.6%
C 2
 
5.6%
M 1
 
2.8%
Other values (7) 7
19.4%
Common
ValueCountFrequency (%)
66
70.2%
( 12
 
12.8%
) 12
 
12.8%
. 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1948
84.4%
None 231
 
10.0%
ASCII 130
 
5.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 231
100.0%
Hangul
ValueCountFrequency (%)
사 66
 
3.4%
동 55
 
2.8%
이 54
 
2.8%
스 54
 
2.8%
합 52
 
2.7%
조 50
 
2.6%
협 49
 
2.5%
회 43
 
2.2%
인 40
 
2.1%
아 30
 
1.5%
Other values (367) 1455
74.7%
ASCII
ValueCountFrequency (%)
66
50.8%
( 12
 
9.2%
) 12
 
9.2%
O 6
 
4.6%
. 4
 
3.1%
I 4
 
3.1%
P 4
 
3.1%
E 3
 
2.3%
L 3
 
2.3%
R 2
 
1.5%
Other values (11) 14
 
10.8%

업종
Categorical

Distinct15
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
제조
66 
교육
52 
기타
44 
문화예술
30 
도소매
25 
Other values (10)
82 

Length

Max length4
Median length2
Mean length2.4080268
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row재활용
2nd row청소
3rd row식품
4th row청소
5th row교육

Common Values

ValueCountFrequency (%)
제조 66
22.1%
교육 52
17.4%
기타 44
14.7%
문화예술 30
10.0%
도소매 25
 
8.4%
청소 23
 
7.7%
식품 16
 
5.4%
간병가사 12
 
4.0%
건설 11
 
3.7%
재활용 6
 
2.0%
Other values (5) 14
 
4.7%

Length

2024-03-23T03:41:47.545461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 66
22.1%
교육 52
17.4%
기타 44
14.7%
문화예술 30
10.0%
도소매 25
 
8.4%
청소 23
 
7.7%
식품 16
 
5.4%
간병가사 12
 
4.0%
건설 11
 
3.7%
재활용 6
 
2.0%
Other values (5) 14
 
4.7%

서비스 내용
Text

Distinct292
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-23T03:41:48.545985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length52
Mean length19.866221
Min length2

Characters and Unicode

Total characters5940
Distinct characters440
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique286 ?
Unique (%)95.7%

Sample

1st row공공기관물품재활용, 사무용가구 등
2nd row건물위생관리, 경비, 방역 등
3rd row카페, 관광기념품, 체험
4th row청소, 소독, 인테리어
5th row복지 서비스
ValueCountFrequency (%)
및 89
 
6.6%
등 47
 
3.5%
판매 32
 
2.4%
제조 31
 
2.3%
교육 25
 
1.9%
제공 20
 
1.5%
운영 16
 
1.2%
도소매 15
 
1.1%
개발 15
 
1.1%
서비스 11
 
0.8%
Other values (761) 1043
77.6%
2024-03-23T03:41:50.235646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1073
 
18.1%
, 321
 
5.4%
제 146
 
2.5%
업 97
 
1.6%
및 91
 
1.5%
공 88
 
1.5%
조 87
 
1.5%
교 86
 
1.4%
스 85
 
1.4%
매 79
 
1.3%
Other values (430) 3787
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4404
74.1%
Space Separator 1073
 
18.1%
Other Punctuation 362
 
6.1%
Uppercase Letter 33
 
0.6%
Close Punctuation 27
 
0.5%
Open Punctuation 27
 
0.5%
Lowercase Letter 6
 
0.1%
Decimal Number 4
 
0.1%
Other Symbol 2
 
< 0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 146
 
3.3%
업 97
 
2.2%
및 91
 
2.1%
공 88
 
2.0%
조 87
 
2.0%
교 86
 
2.0%
스 85
 
1.9%
매 79
 
1.8%
육 75
 
1.7%
품 73
 
1.7%
Other values (393) 3497
79.4%
Uppercase Letter
ValueCountFrequency (%)
R 4
12.1%
C 3
9.1%
P 3
9.1%
E 3
9.1%
D 3
9.1%
T 2
 
6.1%
J 2
 
6.1%
V 2
 
6.1%
O 2
 
6.1%
L 2
 
6.1%
Other values (7) 7
21.2%
Lowercase Letter
ValueCountFrequency (%)
d 1
16.7%
l 1
16.7%
e 1
16.7%
t 1
16.7%
c 1
16.7%
i 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 321
88.7%
/ 22
 
6.1%
· 15
 
4.1%
& 3
 
0.8%
: 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
4 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
1073
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Other Symbol
ValueCountFrequency (%)
© 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4404
74.1%
Common 1497
 
25.2%
Latin 39
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 146
 
3.3%
업 97
 
2.2%
및 91
 
2.1%
공 88
 
2.0%
조 87
 
2.0%
교 86
 
2.0%
스 85
 
1.9%
매 79
 
1.8%
육 75
 
1.7%
품 73
 
1.7%
Other values (393) 3497
79.4%
Latin
ValueCountFrequency (%)
R 4
 
10.3%
C 3
 
7.7%
P 3
 
7.7%
E 3
 
7.7%
D 3
 
7.7%
T 2
 
5.1%
J 2
 
5.1%
V 2
 
5.1%
O 2
 
5.1%
L 2
 
5.1%
Other values (13) 13
33.3%
Common
ValueCountFrequency (%)
1073
71.7%
, 321
 
21.4%
) 27
 
1.8%
( 27
 
1.8%
/ 22
 
1.5%
· 15
 
1.0%
& 3
 
0.2%
1 2
 
0.1%
© 2
 
0.1%
4 1
 
0.1%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4404
74.1%
ASCII 1517
 
25.5%
None 17
 
0.3%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1073
70.7%
, 321
 
21.2%
) 27
 
1.8%
( 27
 
1.8%
/ 22
 
1.5%
R 4
 
0.3%
& 3
 
0.2%
C 3
 
0.2%
P 3
 
0.2%
E 3
 
0.2%
Other values (23) 31
 
2.0%
Hangul
ValueCountFrequency (%)
제 146
 
3.3%
업 97
 
2.2%
및 91
 
2.1%
공 88
 
2.0%
조 87
 
2.0%
교 86
 
2.0%
스 85
 
1.9%
매 79
 
1.8%
육 75
 
1.7%
품 73
 
1.7%
Other values (393) 3497
79.4%
None
ValueCountFrequency (%)
· 15
88.2%
© 2
 
11.8%
Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
’ 1
50.0%

군구
Categorical

Distinct10
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
남동구
69 
서구
61 
미추홀구
36 
연수구
35 
부평구
30 
Other values (5)
68 

Length

Max length4
Median length3
Mean length2.812709
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 69
23.1%
서구 61
20.4%
미추홀구 36
12.0%
연수구 35
11.7%
부평구 30
10.0%
계양구 20
 
6.7%
중구 17
 
5.7%
동구 14
 
4.7%
강화군 11
 
3.7%
옹진군 6
 
2.0%

Length

2024-03-23T03:41:50.904913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:41:51.465092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 69
23.1%
서구 61
20.4%
미추홀구 36
12.0%
연수구 35
11.7%
부평구 30
10.0%
계양구 20
 
6.7%
중구 17
 
5.7%
동구 14
 
4.7%
강화군 11
 
3.7%
옹진군 6
 
2.0%

주 소 (신주소)
Text

Distinct295
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-03-23T03:41:52.708327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length47
Mean length30.441472
Min length15

Characters and Unicode

Total characters9102
Distinct characters339
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)97.3%

Sample

1st row인천광역시 중구 서해대로 324
2nd row인천광역시 중구 서해대로 483번길 68번지
3rd row인천광역시 중구 신포로23번길 83, 202호(중앙동1가)
4th row인천광역시 중구 개항로53번길 13
5th row인천광역시 중구 율목로 54, 2층
ValueCountFrequency (%)
인천광역시 299
 
17.6%
남동구 69
 
4.1%
서구 62
 
3.7%
미추홀구 36
 
2.1%
연수구 35
 
2.1%
부평구 30
 
1.8%
1층 22
 
1.3%
계양구 20
 
1.2%
2층 19
 
1.1%
중구 17
 
1.0%
Other values (770) 1087
64.1%
2024-03-23T03:41:54.476742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1398
 
15.4%
1 387
 
4.3%
인 346
 
3.8%
동 332
 
3.6%
천 325
 
3.6%
시 307
 
3.4%
구 303
 
3.3%
역 301
 
3.3%
로 300
 
3.3%
광 300
 
3.3%
Other values (329) 4803
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5395
59.3%
Decimal Number 1691
 
18.6%
Space Separator 1398
 
15.4%
Other Punctuation 228
 
2.5%
Close Punctuation 140
 
1.5%
Open Punctuation 139
 
1.5%
Dash Punctuation 69
 
0.8%
Uppercase Letter 33
 
0.4%
Lowercase Letter 6
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 346
 
6.4%
동 332
 
6.2%
천 325
 
6.0%
시 307
 
5.7%
구 303
 
5.6%
역 301
 
5.6%
로 300
 
5.6%
광 300
 
5.6%
호 135
 
2.5%
길 132
 
2.4%
Other values (292) 2614
48.5%
Uppercase Letter
ValueCountFrequency (%)
B 7
21.2%
A 5
15.2%
C 5
15.2%
D 3
9.1%
R 2
 
6.1%
H 2
 
6.1%
E 2
 
6.1%
I 2
 
6.1%
M 1
 
3.0%
T 1
 
3.0%
Other values (3) 3
9.1%
Decimal Number
ValueCountFrequency (%)
1 387
22.9%
2 236
14.0%
0 201
11.9%
3 174
10.3%
4 154
 
9.1%
5 138
 
8.2%
8 115
 
6.8%
6 101
 
6.0%
7 94
 
5.6%
9 91
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
j 1
16.7%
k 1
16.7%
b 1
16.7%
o 1
16.7%
t 1
16.7%
a 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 226
99.1%
. 1
 
0.4%
@ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1398
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5395
59.3%
Common 3668
40.3%
Latin 39
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 346
 
6.4%
동 332
 
6.2%
천 325
 
6.0%
시 307
 
5.7%
구 303
 
5.6%
역 301
 
5.6%
로 300
 
5.6%
광 300
 
5.6%
호 135
 
2.5%
길 132
 
2.4%
Other values (292) 2614
48.5%
Latin
ValueCountFrequency (%)
B 7
17.9%
A 5
12.8%
C 5
12.8%
D 3
 
7.7%
R 2
 
5.1%
H 2
 
5.1%
E 2
 
5.1%
I 2
 
5.1%
M 1
 
2.6%
j 1
 
2.6%
Other values (9) 9
23.1%
Common
ValueCountFrequency (%)
1398
38.1%
1 387
 
10.6%
2 236
 
6.4%
, 226
 
6.2%
0 201
 
5.5%
3 174
 
4.7%
4 154
 
4.2%
) 140
 
3.8%
( 139
 
3.8%
5 138
 
3.8%
Other values (8) 475
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5395
59.3%
ASCII 3707
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1398
37.7%
1 387
 
10.4%
2 236
 
6.4%
, 226
 
6.1%
0 201
 
5.4%
3 174
 
4.7%
4 154
 
4.2%
) 140
 
3.8%
( 139
 
3.7%
5 138
 
3.7%
Other values (27) 514
 
13.9%
Hangul
ValueCountFrequency (%)
인 346
 
6.4%
동 332
 
6.2%
천 325
 
6.0%
시 307
 
5.7%
구 303
 
5.6%
역 301
 
5.6%
로 300
 
5.6%
광 300
 
5.6%
호 135
 
2.5%
길 132
 
2.4%
Other values (292) 2614
48.5%

Interactions

2024-03-23T03:41:40.121412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T03:41:54.979017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구 분업종군구
연번1.0000.7220.3330.806
구 분0.7221.0000.4530.108
업종0.3330.4531.0000.327
군구0.8060.1080.3271.000
2024-03-23T03:41:55.341555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구 분업종군구
구 분1.0000.2280.063
업종0.2281.0000.126
군구0.0630.1261.000
2024-03-23T03:41:55.760485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구 분업종군구
연번1.0000.5780.1280.370
구 분0.5781.0000.2280.063
업종0.1280.2281.0000.126
군구0.3700.0630.1261.000

Missing values

2024-03-23T03:41:40.673612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T03:41:41.677722image/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

연번구 분기 업 명업종서비스 내용군구주 소 (신주소)
01인증㈜정부물품재활용재활용공공기관물품재활용, 사무용가구 등중구인천광역시 중구 서해대로 324
12인증㈜두손테크청소건물위생관리, 경비, 방역 등중구인천광역시 중구 서해대로 483번길 68번지
23인증㈜인천개항식품카페, 관광기념품, 체험중구인천광역시 중구 신포로23번길 83, 202호(중앙동1가)
34인증㈜해피크린청소청소, 소독, 인테리어중구인천광역시 중구 개항로53번길 13
45인증사회적협동조합엠커뮤니티교육복지 서비스중구인천광역시 중구 율목로 54, 2층
56인증㈜차이나브이중국어마을교육중국문화체험, 중국진로체험중구인천광역시 중구 신포로23번길 80, 202~204호
67인증㈜카툰캠퍼스문화예술아트상품 제조 판매업,디지털콘텐츠개발및소프트웨어,전시, 시각예술 및 문화기획, 편집중구인천광역시 중구 자유공원로 29
78인증협동조합 빨간오두막문화예술영상제작, 항공촬영(드론)중구인천광역시 중구 월미로 1-2, 3층(선린동)
89인증㈜행복을 나누는 도시락식품도시락, 출장부페동구인천광역시 동구 화수로 74-1
910인증㈜청소사랑청소건물위생관리, 경비, 방역 등동구인천광역시 동구 화도진로34번길 7
연번구 분기 업 명업종서비스 내용군구주 소 (신주소)
289290인증㈜한사랑 식판선생님기타어린이집, 유치원 식판세척 소독배달업미추홀구인천광역시 미추홀구 염전로 103, 트인테크노6차 가동 105호(도화동)
290291인증사회복지법인한울정신건강복지재단사업단해내기보호작업장제조화장지, 장갑제조연수구인천광역시 연수구 앵고개로 130, 해내기보호작업장
291292인증㈜코워킹소사이어티기타ICT 인프라 구축 및 보급, 컨설팅, 교육, 컨설턴트 양성, 조직 정보, 콘텐츠 생산 확산 등 연구,개발 지원서구인천광역시 서구 독정로 111, 사회적기업 공간2호(당하동, 인천검단엘에이치36단지)
292293예비(지역형)㈜에코드인제조증강현실(AR) 기반의 업사이클링 환경교육 교보재 제작 판매연수구인천광역시 연수구 컨벤시아대로 204, 인천스타트업파크 인스타1523호
293294예비(지역형)사회적협동조합 도시농부꽃마당농림어업생태텃밭조성, 농업체험사업부평구인천광역시 부평구 수변로 56, 부평사회적경제마을센터 1층 코워킹룸 103호(부개동)
294295인증㈜샤크플러스교육개그형식의 청소년 흡연예방교육제공서구인천광역시 서구 고산후로121번길 15, 401-58호(원당동, 삼경프라자)
295296예비(부처형)배다리협동조합기타숙박 및 음식업동구인천광역시 동구 금곡로 14 배다리옛손만두(금곡동)
296297예비(부처형)㈜원스파크교육결혼이민자, 다문화 학생 학업 지원, 한국어 진로교육 제공연수구인천광역시 연수구 센트럴로 194, C동 302호
297298인증㈜씨티콘제조야외용 공기정화기 통합관리시스템 제조미추홀구인천광역시 미추홀구 인하로 100, 606호 (용현동, 인하대학교 김현태 인하드림센터)
298299인증㈜지혜의광대문화예술문화예술 공연 기획서구인천광역시 서구 염곡로464번길 15 가정동, 8층 809호