Overview

Dataset statistics

Number of variables7
Number of observations300
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.<br/>
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15099887&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기업명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:37:59.337253
Analysis finished2024-04-06 09:38:00.555706
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.5
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T18:38:00.652509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.95
Q175.75
median150.5
Q3225.25
95-th percentile285.05
Maximum300
Range299
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation86.746758
Coefficient of variation (CV)0.57639042
Kurtosis-1.2
Mean150.5
Median Absolute Deviation (MAD)75
Skewness0
Sum45150
Variance7525
MonotonicityStrictly increasing
2024-04-06T18:38:00.831221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
208 1
 
0.3%
206 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%
Other values (290) 290
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 (%)
300 1
0.3%
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%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
인증
204 
예비(지역형)
52 
예비(부처형)
44 

Length

Max length7
Median length2
Mean length3.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 204
68.0%
예비(지역형) 52
 
17.3%
예비(부처형) 44
 
14.7%

Length

2024-04-06T18:38:01.008678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:38:01.147921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 204
68.0%
예비(지역형 52
 
17.3%
예비(부처형 44
 
14.7%

기업명
Text

UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T18:38:01.414451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length7.6166667
Min length3

Characters and Unicode

Total characters2285
Distinct characters389
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

Unique300 ?
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
 
2.5%
농업회사법인 4
 
1.1%
사회복지법인 2
 
0.6%
㈜다사랑 2
 
0.6%
인천 2
 
0.6%
손과손 2
 
0.6%
㈜원클릭글로벌마켓 1
 
0.3%
㈜위드마 1
 
0.3%
엠아이에스씨사회적협동조합 1
 
0.3%
Other values (316) 316
89.5%
2024-04-06T18:38:01.880405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 233
 
10.2%
67
 
2.9%
사 64
 
2.8%
스 59
 
2.6%
이 52
 
2.3%
동 50
 
2.2%
합 47
 
2.1%
조 46
 
2.0%
협 45
 
2.0%
회 43
 
1.9%
Other values (379) 1579
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1920
84.0%
Other Symbol 233
 
10.2%
Space Separator 67
 
2.9%
Uppercase Letter 29
 
1.3%
Open Punctuation 14
 
0.6%
Close Punctuation 14
 
0.6%
Other Punctuation 4
 
0.2%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 64
 
3.3%
스 59
 
3.1%
이 52
 
2.7%
동 50
 
2.6%
합 47
 
2.4%
조 46
 
2.4%
협 45
 
2.3%
회 43
 
2.2%
인 41
 
2.1%
아 34
 
1.8%
Other values (358) 1439
74.9%
Uppercase Letter
ValueCountFrequency (%)
O 6
20.7%
I 4
13.8%
E 3
10.3%
P 3
10.3%
L 3
10.3%
R 2
 
6.9%
T 1
 
3.4%
D 1
 
3.4%
C 1
 
3.4%
N 1
 
3.4%
Other values (4) 4
13.8%
Lowercase Letter
ValueCountFrequency (%)
n 2
50.0%
c 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 233
100.0%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2153
94.2%
Common 99
 
4.3%
Latin 33
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 233
 
10.8%
사 64
 
3.0%
스 59
 
2.7%
이 52
 
2.4%
동 50
 
2.3%
합 47
 
2.2%
조 46
 
2.1%
협 45
 
2.1%
회 43
 
2.0%
인 41
 
1.9%
Other values (359) 1473
68.4%
Latin
ValueCountFrequency (%)
O 6
18.2%
I 4
12.1%
E 3
9.1%
P 3
9.1%
L 3
9.1%
R 2
 
6.1%
n 2
 
6.1%
c 2
 
6.1%
T 1
 
3.0%
D 1
 
3.0%
Other values (6) 6
18.2%
Common
ValueCountFrequency (%)
67
67.7%
( 14
 
14.1%
) 14
 
14.1%
. 4
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1920
84.0%
None 233
 
10.2%
ASCII 132
 
5.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 233
100.0%
ASCII
ValueCountFrequency (%)
67
50.8%
( 14
 
10.6%
) 14
 
10.6%
O 6
 
4.5%
. 4
 
3.0%
I 4
 
3.0%
E 3
 
2.3%
P 3
 
2.3%
L 3
 
2.3%
R 2
 
1.5%
Other values (10) 12
 
9.1%
Hangul
ValueCountFrequency (%)
사 64
 
3.3%
스 59
 
3.1%
이 52
 
2.7%
동 50
 
2.6%
합 47
 
2.4%
조 46
 
2.4%
협 45
 
2.3%
회 43
 
2.2%
인 41
 
2.1%
아 34
 
1.8%
Other values (358) 1439
74.9%

업종
Categorical

Distinct15
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
제조
71 
교육
45 
기타
42 
문화예술
30 
도소매
28 
Other values (10)
84 

Length

Max length4
Median length2
Mean length2.42
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
제조 71
23.7%
교육 45
15.0%
기타 42
14.0%
문화예술 30
10.0%
도소매 28
 
9.3%
청소 22
 
7.3%
식품 17
 
5.7%
간병가사 12
 
4.0%
건설 11
 
3.7%
재활용 7
 
2.3%
Other values (5) 15
 
5.0%

Length

2024-04-06T18:38:02.090535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 71
23.7%
교육 45
15.0%
기타 42
14.0%
문화예술 30
10.0%
도소매 28
 
9.3%
청소 22
 
7.3%
식품 17
 
5.7%
간병가사 12
 
4.0%
건설 11
 
3.7%
재활용 7
 
2.3%
Other values (5) 15
 
5.0%

서비스 내용
Text

Distinct297
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T18:38:02.484169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length53
Mean length20.113333
Min length2

Characters and Unicode

Total characters6034
Distinct characters442
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)98.0%

Sample

1st row공공기관물품재활용, 사무용가구 등
2nd row건물위생관리, 경비, 방역 등
3rd row카페, 관광기념품, 체험
4th row청소, 소독, 인테리어
5th row복지 서비스
ValueCountFrequency (%)
및 81
 
5.9%
등 44
 
3.2%
판매 37
 
2.7%
제조 36
 
2.6%
교육 25
 
1.8%
제공 22
 
1.6%
운영 19
 
1.4%
도소매 17
 
1.2%
개발 15
 
1.1%
제작 13
 
0.9%
Other values (776) 1070
77.6%
2024-04-06T18:38:03.153863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1112
 
18.4%
, 323
 
5.4%
제 153
 
2.5%
공 95
 
1.6%
업 92
 
1.5%
조 92
 
1.5%
매 85
 
1.4%
교 84
 
1.4%
및 83
 
1.4%
스 81
 
1.3%
Other values (432) 3834
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4462
73.9%
Space Separator 1112
 
18.4%
Other Punctuation 367
 
6.1%
Uppercase Letter 32
 
0.5%
Close Punctuation 24
 
0.4%
Open Punctuation 24
 
0.4%
Lowercase Letter 6
 
0.1%
Decimal Number 5
 
0.1%
Final Punctuation 1
 
< 0.1%
Initial Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 153
 
3.4%
공 95
 
2.1%
업 92
 
2.1%
조 92
 
2.1%
매 85
 
1.9%
교 84
 
1.9%
및 83
 
1.9%
스 81
 
1.8%
기 77
 
1.7%
육 73
 
1.6%
Other values (395) 3547
79.5%
Uppercase Letter
ValueCountFrequency (%)
R 4
12.5%
D 4
12.5%
C 3
9.4%
E 3
9.4%
T 2
 
6.2%
P 2
 
6.2%
L 2
 
6.2%
O 2
 
6.2%
V 2
 
6.2%
H 1
 
3.1%
Other values (7) 7
21.9%
Lowercase Letter
ValueCountFrequency (%)
l 1
16.7%
e 1
16.7%
d 1
16.7%
i 1
16.7%
c 1
16.7%
t 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 323
88.0%
/ 22
 
6.0%
· 16
 
4.4%
& 5
 
1.4%
: 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
2 1
20.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
1112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4462
73.9%
Common 1534
 
25.4%
Latin 38
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 153
 
3.4%
공 95
 
2.1%
업 92
 
2.1%
조 92
 
2.1%
매 85
 
1.9%
교 84
 
1.9%
및 83
 
1.9%
스 81
 
1.8%
기 77
 
1.7%
육 73
 
1.6%
Other values (395) 3547
79.5%
Latin
ValueCountFrequency (%)
R 4
 
10.5%
D 4
 
10.5%
C 3
 
7.9%
E 3
 
7.9%
T 2
 
5.3%
P 2
 
5.3%
L 2
 
5.3%
O 2
 
5.3%
V 2
 
5.3%
l 1
 
2.6%
Other values (13) 13
34.2%
Common
ValueCountFrequency (%)
1112
72.5%
, 323
 
21.1%
) 24
 
1.6%
( 24
 
1.6%
/ 22
 
1.4%
· 16
 
1.0%
& 5
 
0.3%
1 2
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4462
73.9%
ASCII 1554
 
25.8%
None 16
 
0.3%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1112
71.6%
, 323
 
20.8%
) 24
 
1.5%
( 24
 
1.5%
/ 22
 
1.4%
& 5
 
0.3%
R 4
 
0.3%
D 4
 
0.3%
C 3
 
0.2%
E 3
 
0.2%
Other values (24) 30
 
1.9%
Hangul
ValueCountFrequency (%)
제 153
 
3.4%
공 95
 
2.1%
업 92
 
2.1%
조 92
 
2.1%
매 85
 
1.9%
교 84
 
1.9%
및 83
 
1.9%
스 81
 
1.8%
기 77
 
1.7%
육 73
 
1.6%
Other values (395) 3547
79.5%
None
ValueCountFrequency (%)
· 16
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

군구
Categorical

Distinct10
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
남동구
66 
서구
59 
미추홀구
39 
연수구
38 
부평구
30 
Other values (5)
68 

Length

Max length4
Median length3
Mean length2.8266667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 66
22.0%
서구 59
19.7%
미추홀구 39
13.0%
연수구 38
12.7%
부평구 30
10.0%
계양구 20
 
6.7%
중구 19
 
6.3%
동구 13
 
4.3%
강화군 10
 
3.3%
옹진군 6
 
2.0%

Length

2024-04-06T18:38:03.630073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:38:03.839999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 66
22.0%
서구 59
19.7%
미추홀구 39
13.0%
연수구 38
12.7%
부평구 30
10.0%
계양구 20
 
6.7%
중구 19
 
6.3%
동구 13
 
4.3%
강화군 10
 
3.3%
옹진군 6
 
2.0%

주소(신주소)
Text

Distinct296
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T18:38:04.653607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length45
Mean length29.786667
Min length15

Characters and Unicode

Total characters8936
Distinct characters337
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

Unique292 ?
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 300
 
17.9%
남동구 66
 
3.9%
서구 60
 
3.6%
미추홀구 39
 
2.3%
연수구 38
 
2.3%
부평구 30
 
1.8%
1층 22
 
1.3%
계양구 20
 
1.2%
2층 19
 
1.1%
중구 19
 
1.1%
Other values (743) 1060
63.4%
2024-04-06T18:38:05.807425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1376
 
15.4%
1 376
 
4.2%
인 347
 
3.9%
천 327
 
3.7%
동 317
 
3.5%
시 306
 
3.4%
역 302
 
3.4%
구 301
 
3.4%
광 301
 
3.4%
로 300
 
3.4%
Other values (327) 4683
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5298
59.3%
Decimal Number 1689
 
18.9%
Space Separator 1376
 
15.4%
Other Punctuation 218
 
2.4%
Close Punctuation 124
 
1.4%
Open Punctuation 123
 
1.4%
Dash Punctuation 65
 
0.7%
Uppercase Letter 36
 
0.4%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 347
 
6.5%
천 327
 
6.2%
동 317
 
6.0%
시 306
 
5.8%
역 302
 
5.7%
구 301
 
5.7%
광 301
 
5.7%
로 300
 
5.7%
길 134
 
2.5%
호 131
 
2.5%
Other values (291) 2532
47.8%
Uppercase Letter
ValueCountFrequency (%)
C 7
19.4%
B 7
19.4%
A 4
11.1%
D 3
8.3%
I 3
8.3%
T 2
 
5.6%
E 2
 
5.6%
H 2
 
5.6%
G 1
 
2.8%
M 1
 
2.8%
Other values (4) 4
11.1%
Decimal Number
ValueCountFrequency (%)
1 376
22.3%
2 233
13.8%
0 200
11.8%
3 178
10.5%
4 153
9.1%
5 129
 
7.6%
8 116
 
6.9%
7 104
 
6.2%
6 104
 
6.2%
9 96
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
t 1
25.0%
b 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 216
99.1%
@ 1
 
0.5%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1376
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5298
59.3%
Common 3598
40.3%
Latin 40
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 347
 
6.5%
천 327
 
6.2%
동 317
 
6.0%
시 306
 
5.8%
역 302
 
5.7%
구 301
 
5.7%
광 301
 
5.7%
로 300
 
5.7%
길 134
 
2.5%
호 131
 
2.5%
Other values (291) 2532
47.8%
Common
ValueCountFrequency (%)
1376
38.2%
1 376
 
10.5%
2 233
 
6.5%
, 216
 
6.0%
0 200
 
5.6%
3 178
 
4.9%
4 153
 
4.3%
5 129
 
3.6%
) 124
 
3.4%
( 123
 
3.4%
Other values (8) 490
 
13.6%
Latin
ValueCountFrequency (%)
C 7
17.5%
B 7
17.5%
A 4
10.0%
D 3
 
7.5%
I 3
 
7.5%
T 2
 
5.0%
E 2
 
5.0%
H 2
 
5.0%
G 1
 
2.5%
M 1
 
2.5%
Other values (8) 8
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5298
59.3%
ASCII 3638
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1376
37.8%
1 376
 
10.3%
2 233
 
6.4%
, 216
 
5.9%
0 200
 
5.5%
3 178
 
4.9%
4 153
 
4.2%
5 129
 
3.5%
) 124
 
3.4%
( 123
 
3.4%
Other values (26) 530
 
14.6%
Hangul
ValueCountFrequency (%)
인 347
 
6.5%
천 327
 
6.2%
동 317
 
6.0%
시 306
 
5.8%
역 302
 
5.7%
구 301
 
5.7%
광 301
 
5.7%
로 300
 
5.7%
길 134
 
2.5%
호 131
 
2.5%
Other values (291) 2532
47.8%

Interactions

2024-04-06T18:38:00.109571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:38:05.952273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분업종군구
연번1.0000.8220.2930.851
구분0.8221.0000.3240.199
업종0.2930.3241.0000.341
군구0.8510.1990.3411.000
2024-04-06T18:38:06.076947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업종군구
구분1.0000.1530.119
업종0.1531.0000.132
군구0.1190.1321.000
2024-04-06T18:38:06.175892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분업종군구
연번1.0000.7150.1120.422
구분0.7151.0000.1530.119
업종0.1120.1531.0000.132
군구0.4220.1190.1321.000

Missing values

2024-04-06T18:38:00.300111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:38:00.485020image/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

연번구분기업명업종서비스 내용군구주소(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㈜한사랑 식판선생님기타어린이집, 유치원 식판세척 소독배달업중구인천광역시 중구 도산로 17
78인증㈜카툰캠퍼스문화예술아트상품 제조 판매업,디지털콘텐츠개발및소프트웨어,전시, 시각예술 및 문화기획, 편집중구인천광역시 중구 자유공원로 29
89인증협동조합 빨간오두막문화예술영상제작, 항공촬영(드론)중구인천광역시 중구 월미로 1-2, 3층(선린동)
910인증㈜행복을 나누는 도시락식품도시락, 출장부페동구인천광역시 동구 화수로 74-1
연번구분기업명업종서비스 내용군구주소(신주소)
290291인증㈜학교네교육창의적 교구 개발을 통한 교육 및 스쿨링 매니저, 교육플랫폼 운영연수구인천광역시 연수구 인천타워대로 99 (송도동) 애니오션빌딩 7층 704호)
291292인증월드종합관리㈜청소청소용역제공, 미화, 시설관리 등남동구인천광역시 남동구 문화로 145번길 48-4 (구월동) 2층 203호
292293인증나우종합관리㈜청소건물위생관리업, 청소용역연수구인천광역시 연수구 원인재로 216 (연수동) 401동 208, 210호 (연수1차 시영상가)
293294예비(지역형)㈜플라워물들이다도소매원예교육 서비스와 원예 상품제조, 판매부평구인천광역시 부평구 주부토로151번길 17, 101호(갈산동)
294295예비(부처형)사회적협동조합 아트컬쳐문화예술문화예술 방송콘텐츠 지원, 문화예술 교육 제공연수구인천광역시 연수구 비류대로294번길 32-5, 2층 201호
295296예비(지역형)㈜룩스시스템도소매베이커리 비닐봉지 유통 도소매중구인천광역시 중구 도원로56번길 17-46(도원동)
296297인증뚝딱장난감기타장난감 수리미추홀구인천광역시 미추홀구 낙섬중로 129, 303동 108호(용현동, 엘에이치미추홀3단지)
297298인증㈜나우러닝교육지자체 HRD & 평생교육 연수 전문, 직업능력 개발생애 진로교육 프로그램 개발 전문 & 교육기관 경영 전략 & 브랜드 컨설팅 연구소연수구인천광역시 연수구 송도문화로 119, 지원센터동 2층 2024, 2025, 2034호(송도동, 인천글로벌캠퍼스)
298299인증㈜파티오교육노인, 장애인 교구개발 및 판매미추홀구인천광역시 미추홀구 주염로 58, 주안시범공단 804호(주안동)
299300인증㈜공감문화예술공연기획, 홍보영상, 인쇄물서구인천광역시 서구 완정로 148, 2층 (마전동, 정수빌딩)