Overview

Dataset statistics

Number of variables16
Number of observations39
Missing cells24
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory134.4 B

Variable types

Numeric3
Text8
Categorical2
Boolean2
DateTime1

Dataset

Description인천광역시 미추홀구 사회적기업 현황에 관한 데이터로 기관명, 분류, 유형, 사업내용, 인증여부, 인증일자, 대표자명, 전화번호, 주소, 위도, 경도 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15085542&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 인증여부 and 1 other fieldsHigh correlation
인증여부 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
예비여부 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
분류 is highly imbalanced (60.6%)Imbalance
전화번호 has 3 (7.7%) missing valuesMissing
홈페이지주소 has 21 (53.8%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique
인증번호 has unique valuesUnique
대표자명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:43:01.792652
Analysis finished2024-01-28 10:43:03.587126
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T19:43:03.638501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q110.5
median20
Q329.5
95-th percentile37.1
Maximum39
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.401754
Coefficient of variation (CV)0.57008771
Kurtosis-1.2
Mean20
Median Absolute Deviation (MAD)10
Skewness0
Sum780
Variance130
MonotonicityStrictly increasing
2024-01-28T19:43:03.740507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1 1
 
2.6%
2 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%
30 1
 
2.6%
Other values (29) 29
74.4%
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 (%)
39 1
2.6%
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%

기관명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-01-28T19:43:03.943724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.2051282
Min length2

Characters and Unicode

Total characters281
Distinct characters137
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row㈜최고의환한미소
2nd row모씨네사회적협동조합
3rd row사회복지법인 손사손사업단 예림일터
4th row㈜재미난나
5th row인천로컬푸드생산자협동조합
ValueCountFrequency (%)
사회적협동조합 2
 
4.3%
㈜최고의환한미소 1
 
2.2%
행복도시락 1
 
2.2%
㈜주 1
 
2.2%
㈜로하스컴퍼니 1
 
2.2%
㈜채가 1
 
2.2%
도서관학교 1
 
2.2%
한국렌탈판매협동조합 1
 
2.2%
㈜은하수팩토리 1
 
2.2%
㈜예솜 1
 
2.2%
Other values (35) 35
76.1%
2024-01-28T19:43:04.235557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 28
 
10.0%
사 12
 
4.3%
스 9
 
3.2%
7
 
2.5%
조 6
 
2.1%
동 6
 
2.1%
협 6
 
2.1%
회 6
 
2.1%
합 6
 
2.1%
다 5
 
1.8%
Other values (127) 190
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
86.1%
Other Symbol 28
 
10.0%
Space Separator 7
 
2.5%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 12
 
5.0%
스 9
 
3.7%
조 6
 
2.5%
동 6
 
2.5%
협 6
 
2.5%
회 6
 
2.5%
합 6
 
2.5%
다 5
 
2.1%
주 4
 
1.7%
미 4
 
1.7%
Other values (123) 178
73.6%
Other Symbol
ValueCountFrequency (%)
㈜ 28
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
96.1%
Common 11
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 28
 
10.4%
사 12
 
4.4%
스 9
 
3.3%
조 6
 
2.2%
동 6
 
2.2%
협 6
 
2.2%
회 6
 
2.2%
합 6
 
2.2%
다 5
 
1.9%
주 4
 
1.5%
Other values (124) 182
67.4%
Common
ValueCountFrequency (%)
7
63.6%
( 2
 
18.2%
) 2
 
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
86.1%
None 28
 
10.0%
ASCII 11
 
3.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 28
100.0%
Hangul
ValueCountFrequency (%)
사 12
 
5.0%
스 9
 
3.7%
조 6
 
2.5%
동 6
 
2.5%
협 6
 
2.5%
회 6
 
2.5%
합 6
 
2.5%
다 5
 
2.1%
주 4
 
1.7%
미 4
 
1.7%
Other values (123) 178
73.6%
ASCII
ValueCountFrequency (%)
7
63.6%
( 2
 
18.2%
) 2
 
18.2%

분류
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
기타
33 
간병및가사지원
 
2
청소
 
2
예술·관광
 
1
보육
 
1

Length

Max length7
Median length2
Mean length2.3333333
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row기타
2nd row예술·관광
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 33
84.6%
간병및가사지원 2
 
5.1%
청소 2
 
5.1%
예술·관광 1
 
2.6%
보육 1
 
2.6%

Length

2024-01-28T19:43:04.337507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:43:04.421128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 33
84.6%
간병및가사지원 2
 
5.1%
청소 2
 
5.1%
예술·관광 1
 
2.6%
보육 1
 
2.6%

유형
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
일자리제공형
26 
창의혁신형(기타)
10 
혼합형
 
2
지역사회공헌형
 
1

Length

Max length9
Median length6
Mean length6.6410256
Min length3

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row일자리제공형
2nd row일자리제공형
3rd row일자리제공형
4th row창의혁신형(기타)
5th row창의혁신형(기타)

Common Values

ValueCountFrequency (%)
일자리제공형 26
66.7%
창의혁신형(기타) 10
 
25.6%
혼합형 2
 
5.1%
지역사회공헌형 1
 
2.6%

Length

2024-01-28T19:43:04.509431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:43:04.602121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 26
66.7%
창의혁신형(기타 10
 
25.6%
혼합형 2
 
5.1%
지역사회공헌형 1
 
2.6%

사업내용
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-01-28T19:43:04.784986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.102564
Min length4

Characters and Unicode

Total characters394
Distinct characters134
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

Unique37 ?
Unique (%)94.9%

Sample

1st row빈집 리모델링
2nd row상영 미디어교육 영상제작등
3rd row종이컵생산
4th row목재 이용한 가구제작
5th row농산물가공 및 위탁판매
ValueCountFrequency (%)
및 13
 
12.7%
판매 5
 
4.9%
제조 3
 
2.9%
제작 3
 
2.9%
도시락제조 2
 
2.0%
대안교육 2
 
2.0%
교육 2
 
2.0%
전자상거래 2
 
2.0%
행사 2
 
2.0%
빈집 2
 
2.0%
Other values (65) 66
64.7%
2024-01-28T19:43:05.109773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
16.0%
리 14
 
3.6%
및 13
 
3.3%
제 13
 
3.3%
교 10
 
2.5%
육 9
 
2.3%
판 8
 
2.0%
기 8
 
2.0%
매 7
 
1.8%
업 6
 
1.5%
Other values (124) 243
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
83.5%
Space Separator 63
 
16.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 14
 
4.3%
및 13
 
4.0%
제 13
 
4.0%
교 10
 
3.0%
육 9
 
2.7%
판 8
 
2.4%
기 8
 
2.4%
매 7
 
2.1%
업 6
 
1.8%
가 6
 
1.8%
Other values (121) 235
71.4%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
83.5%
Common 65
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 14
 
4.3%
및 13
 
4.0%
제 13
 
4.0%
교 10
 
3.0%
육 9
 
2.7%
판 8
 
2.4%
기 8
 
2.4%
매 7
 
2.1%
업 6
 
1.8%
가 6
 
1.8%
Other values (121) 235
71.4%
Common
ValueCountFrequency (%)
63
96.9%
( 1
 
1.5%
) 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
83.5%
ASCII 65
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
96.9%
( 1
 
1.5%
) 1
 
1.5%
Hangul
ValueCountFrequency (%)
리 14
 
4.3%
및 13
 
4.0%
제 13
 
4.0%
교 10
 
3.0%
육 9
 
2.7%
판 8
 
2.4%
기 8
 
2.4%
매 7
 
2.1%
업 6
 
1.8%
가 6
 
1.8%
Other values (121) 235
71.4%

인증여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
True
33 
False
6 
ValueCountFrequency (%)
True 33
84.6%
False 6
 
15.4%
2024-01-28T19:43:05.202968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예비여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size171.0 B
False
33 
True
6 
ValueCountFrequency (%)
False 33
84.6%
True 6
 
15.4%
2024-01-28T19:43:05.277677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Date

Distinct32
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2007-10-29 00:00:00
Maximum2023-06-15 00:00:00
2024-01-28T19:43:05.355038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:05.447750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인증번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-01-28T19:43:05.615083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8461538
Min length9

Characters and Unicode

Total characters384
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row제2014-105호
2nd row제2013-257호
3rd row제2013-045호
4th row제2017-20호
5th row제2019-216호
ValueCountFrequency (%)
제2014-105호 1
 
2.6%
제2014-245호 1
 
2.6%
제2020-404호 1
 
2.6%
제2018-166호 1
 
2.6%
제2021-295호 1
 
2.6%
제2021-397호 1
 
2.6%
제2015-099호 1
 
2.6%
제2019-22호 1
 
2.6%
제2023-125호 1
 
2.6%
제2020-403호 1
 
2.6%
Other values (29) 29
74.4%
2024-01-28T19:43:05.898630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 79
20.6%
0 76
19.8%
제 39
10.2%
- 39
10.2%
호 39
10.2%
1 37
9.6%
4 19
 
4.9%
3 14
 
3.6%
9 13
 
3.4%
5 9
 
2.3%
Other values (3) 20
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 267
69.5%
Other Letter 78
 
20.3%
Dash Punctuation 39
 
10.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 79
29.6%
0 76
28.5%
1 37
13.9%
4 19
 
7.1%
3 14
 
5.2%
9 13
 
4.9%
5 9
 
3.4%
7 8
 
3.0%
6 8
 
3.0%
8 4
 
1.5%
Other Letter
ValueCountFrequency (%)
제 39
50.0%
호 39
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
79.7%
Hangul 78
 
20.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 79
25.8%
0 76
24.8%
- 39
12.7%
1 37
12.1%
4 19
 
6.2%
3 14
 
4.6%
9 13
 
4.2%
5 9
 
2.9%
7 8
 
2.6%
6 8
 
2.6%
Hangul
ValueCountFrequency (%)
제 39
50.0%
호 39
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
79.7%
Hangul 78
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 79
25.8%
0 76
24.8%
- 39
12.7%
1 37
12.1%
4 19
 
6.2%
3 14
 
4.6%
9 13
 
4.2%
5 9
 
2.9%
7 8
 
2.6%
6 8
 
2.6%
Hangul
ValueCountFrequency (%)
제 39
50.0%
호 39
50.0%

대표자명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-01-28T19:43:06.090769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.2051282
Min length3

Characters and Unicode

Total characters125
Distinct characters77
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row최환 차지원
2nd row전철원
3rd row공보연
4th row이성민
5th row권순실
ValueCountFrequency (%)
최환 1
 
2.4%
강민준 1
 
2.4%
조양순 1
 
2.4%
채유대 1
 
2.4%
이만수 1
 
2.4%
손일균 1
 
2.4%
한은혜 1
 
2.4%
종광애 1
 
2.4%
김얼해 1
 
2.4%
이지성 1
 
2.4%
Other values (31) 31
75.6%
2024-01-28T19:43:06.401003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
8.0%
이 6
 
4.8%
상 4
 
3.2%
수 3
 
2.4%
순 3
 
2.4%
민 3
 
2.4%
성 3
 
2.4%
영 3
 
2.4%
태 3
 
2.4%
원 3
 
2.4%
Other values (67) 84
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
98.4%
Space Separator 2
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
8.1%
이 6
 
4.9%
상 4
 
3.3%
수 3
 
2.4%
순 3
 
2.4%
민 3
 
2.4%
성 3
 
2.4%
영 3
 
2.4%
태 3
 
2.4%
원 3
 
2.4%
Other values (66) 82
66.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
98.4%
Common 2
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
8.1%
이 6
 
4.9%
상 4
 
3.3%
수 3
 
2.4%
순 3
 
2.4%
민 3
 
2.4%
성 3
 
2.4%
영 3
 
2.4%
태 3
 
2.4%
원 3
 
2.4%
Other values (66) 82
66.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
98.4%
ASCII 2
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
8.1%
이 6
 
4.9%
상 4
 
3.3%
수 3
 
2.4%
순 3
 
2.4%
민 3
 
2.4%
성 3
 
2.4%
영 3
 
2.4%
태 3
 
2.4%
원 3
 
2.4%
Other values (66) 82
66.7%
ASCII
ValueCountFrequency (%)
2
100.0%

전화번호
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing3
Missing (%)7.7%
Memory size444.0 B
2024-01-28T19:43:06.575249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.166667
Min length12

Characters and Unicode

Total characters438
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

Unique36 ?
Unique (%)100.0%

Sample

1st row070-8868-2771
2nd row032-471-3080
3rd row032-529-2677
4th row070-7552-1287
5th row032-469-3005
ValueCountFrequency (%)
032-519-7799 1
 
2.8%
032-891-5676 1
 
2.8%
032-425-5991 1
 
2.8%
032-676-2312 1
 
2.8%
032-937-9265 1
 
2.8%
032-201-7009 1
 
2.8%
02-1644-7512 1
 
2.8%
032-819-5553 1
 
2.8%
032-867-9409 1
 
2.8%
0507-1316-0687 1
 
2.8%
Other values (26) 26
72.2%
2024-01-28T19:43:06.858994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.4%
0 65
14.8%
2 56
12.8%
3 50
11.4%
7 35
8.0%
5 32
7.3%
8 30
6.8%
6 28
 
6.4%
4 24
 
5.5%
1 23
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 366
83.6%
Dash Punctuation 72
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
17.8%
2 56
15.3%
3 50
13.7%
7 35
9.6%
5 32
8.7%
8 30
8.2%
6 28
7.7%
4 24
 
6.6%
1 23
 
6.3%
9 23
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.4%
0 65
14.8%
2 56
12.8%
3 50
11.4%
7 35
8.0%
5 32
7.3%
8 30
6.8%
6 28
 
6.4%
4 24
 
5.5%
1 23
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.4%
0 65
14.8%
2 56
12.8%
3 50
11.4%
7 35
8.0%
5 32
7.3%
8 30
6.8%
6 28
 
6.4%
4 24
 
5.5%
1 23
 
5.3%

도로명주소
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-01-28T19:43:07.058478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length28.589744
Min length21

Characters and Unicode

Total characters1115
Distinct characters88
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 수봉남로18번길 68(옹현동)
2nd row인천광역시 미추홀구 석바위로68(주안필프라자) 401호
3rd row인천광역시 미추홀구 염전로 262-2(도화동)
4th row인천광역시 미추홀구 인주대로 180, 19, 20호(용현동)
5th row인천광역시 미추홀구 주안로 117-16, 행복주택 2층(주안동)
ValueCountFrequency (%)
인천광역시 39
20.0%
미추홀구 39
20.0%
주안동 6
 
3.1%
경인로 5
 
2.6%
용현동 4
 
2.1%
도화동 4
 
2.1%
229 4
 
2.1%
염전로 3
 
1.5%
석정로 2
 
1.0%
수봉남로18번길 2
 
1.0%
Other values (81) 87
44.6%
2024-01-28T19:43:07.361752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
14.0%
인 52
 
4.7%
홀 42
 
3.8%
미 41
 
3.7%
천 41
 
3.7%
추 41
 
3.7%
구 40
 
3.6%
역 40
 
3.6%
시 39
 
3.5%
광 39
 
3.5%
Other values (78) 584
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 663
59.5%
Decimal Number 194
 
17.4%
Space Separator 156
 
14.0%
Open Punctuation 35
 
3.1%
Close Punctuation 35
 
3.1%
Other Punctuation 21
 
1.9%
Dash Punctuation 9
 
0.8%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 52
 
7.8%
홀 42
 
6.3%
미 41
 
6.2%
천 41
 
6.2%
추 41
 
6.2%
구 40
 
6.0%
역 40
 
6.0%
시 39
 
5.9%
광 39
 
5.9%
동 37
 
5.6%
Other values (61) 251
37.9%
Decimal Number
ValueCountFrequency (%)
2 37
19.1%
1 34
17.5%
3 24
12.4%
0 20
10.3%
4 16
8.2%
7 15
7.7%
6 14
 
7.2%
9 14
 
7.2%
8 12
 
6.2%
5 8
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 663
59.5%
Common 450
40.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 52
 
7.8%
홀 42
 
6.3%
미 41
 
6.2%
천 41
 
6.2%
추 41
 
6.2%
구 40
 
6.0%
역 40
 
6.0%
시 39
 
5.9%
광 39
 
5.9%
동 37
 
5.6%
Other values (61) 251
37.9%
Common
ValueCountFrequency (%)
156
34.7%
2 37
 
8.2%
( 35
 
7.8%
) 35
 
7.8%
1 34
 
7.6%
3 24
 
5.3%
, 21
 
4.7%
0 20
 
4.4%
4 16
 
3.6%
7 15
 
3.3%
Other values (5) 57
 
12.7%
Latin
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 663
59.5%
ASCII 452
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
34.5%
2 37
 
8.2%
( 35
 
7.7%
) 35
 
7.7%
1 34
 
7.5%
3 24
 
5.3%
, 21
 
4.6%
0 20
 
4.4%
4 16
 
3.5%
7 15
 
3.3%
Other values (7) 59
 
13.1%
Hangul
ValueCountFrequency (%)
인 52
 
7.8%
홀 42
 
6.3%
미 41
 
6.2%
천 41
 
6.2%
추 41
 
6.2%
구 40
 
6.0%
역 40
 
6.0%
시 39
 
5.9%
광 39
 
5.9%
동 37
 
5.6%
Other values (61) 251
37.9%

지번주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-01-28T19:43:07.540171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length22.076923
Min length18

Characters and Unicode

Total characters861
Distinct characters44
Distinct categories7 ?
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 (%)89.7%

Sample

1st row인천광역시 미추홀구 용현동 62-7
2nd row인천광역시 미추홀구 주안동 173-1(주안필프라자) 401호
3rd row인천광역시 미추홀구 도화동 704-17
4th row인천광역시 미추홀구 용현동 139-3
5th row인천광역시 미추홀구 주안동 124-1
ValueCountFrequency (%)
인천광역시 39
22.9%
미추홀구 39
22.9%
주안동 14
 
8.2%
용현동 10
 
5.9%
도화동 9
 
5.3%
학익동 3
 
1.8%
592-5 3
 
1.8%
506-45 3
 
1.8%
1000 2
 
1.2%
숭의동 2
 
1.2%
Other values (42) 46
27.1%
2024-01-28T19:43:07.831789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
15.2%
역 40
 
4.6%
동 40
 
4.6%
인 39
 
4.5%
광 39
 
4.5%
시 39
 
4.5%
미 39
 
4.5%
추 39
 
4.5%
홀 39
 
4.5%
구 39
 
4.5%
Other values (34) 377
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
56.8%
Decimal Number 192
 
22.3%
Space Separator 131
 
15.2%
Dash Punctuation 34
 
3.9%
Other Punctuation 11
 
1.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 40
8.2%
동 40
8.2%
인 39
8.0%
광 39
8.0%
시 39
8.0%
미 39
8.0%
추 39
8.0%
홀 39
8.0%
구 39
8.0%
천 39
8.0%
Other values (19) 97
19.8%
Decimal Number
ValueCountFrequency (%)
0 31
16.1%
1 30
15.6%
2 28
14.6%
5 23
12.0%
3 18
9.4%
6 17
8.9%
4 14
7.3%
9 13
6.8%
8 9
 
4.7%
7 9
 
4.7%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
56.8%
Common 372
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 40
8.2%
동 40
8.2%
인 39
8.0%
광 39
8.0%
시 39
8.0%
미 39
8.0%
추 39
8.0%
홀 39
8.0%
구 39
8.0%
천 39
8.0%
Other values (19) 97
19.8%
Common
ValueCountFrequency (%)
131
35.2%
- 34
 
9.1%
0 31
 
8.3%
1 30
 
8.1%
2 28
 
7.5%
5 23
 
6.2%
3 18
 
4.8%
6 17
 
4.6%
4 14
 
3.8%
9 13
 
3.5%
Other values (5) 33
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
56.8%
ASCII 372
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
35.2%
- 34
 
9.1%
0 31
 
8.3%
1 30
 
8.1%
2 28
 
7.5%
5 23
 
6.2%
3 18
 
4.8%
6 17
 
4.6%
4 14
 
3.8%
9 13
 
3.5%
Other values (5) 33
 
8.9%
Hangul
ValueCountFrequency (%)
역 40
8.2%
동 40
8.2%
인 39
8.0%
광 39
8.0%
시 39
8.0%
미 39
8.0%
추 39
8.0%
홀 39
8.0%
구 39
8.0%
천 39
8.0%
Other values (19) 97
19.8%

홈페이지주소
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing21
Missing (%)53.8%
Memory size444.0 B
2024-01-28T19:43:08.004338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20.5
Mean length19.277778
Min length9

Characters and Unicode

Total characters347
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st rowhttp://www.wffii.kr
2nd rowhttp://www.iyerim.com
3rd rowhttp://www.funnytree.kr
4th rowiclocalfood.org
5th rowhttp://www.together-school.or.kr
ValueCountFrequency (%)
http://www.wffii.kr 1
 
5.6%
http://www.iyerim.com 1
 
5.6%
kjschool.co.kr 1
 
5.6%
www.yesome.co.kr 1
 
5.6%
ballys.kr 1
 
5.6%
www.aedforlife.net 1
 
5.6%
www.toymend.co.kr 1
 
5.6%
http://www.dasars.kr 1
 
5.6%
www.jungdaun.or.kr 1
 
5.6%
http://www.seohaeclean.com 1
 
5.6%
Other values (8) 8
44.4%
2024-01-28T19:43:08.261509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 44
12.7%
. 39
 
11.2%
t 28
 
8.1%
o 25
 
7.2%
r 24
 
6.9%
/ 20
 
5.8%
h 18
 
5.2%
a 15
 
4.3%
e 14
 
4.0%
c 14
 
4.0%
Other values (16) 106
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 277
79.8%
Other Punctuation 69
 
19.9%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 44
15.9%
t 28
 
10.1%
o 25
 
9.0%
r 24
 
8.7%
h 18
 
6.5%
a 15
 
5.4%
e 14
 
5.1%
c 14
 
5.1%
k 13
 
4.7%
p 12
 
4.3%
Other values (12) 70
25.3%
Other Punctuation
ValueCountFrequency (%)
. 39
56.5%
/ 20
29.0%
: 10
 
14.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 277
79.8%
Common 70
 
20.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 44
15.9%
t 28
 
10.1%
o 25
 
9.0%
r 24
 
8.7%
h 18
 
6.5%
a 15
 
5.4%
e 14
 
5.1%
c 14
 
5.1%
k 13
 
4.7%
p 12
 
4.3%
Other values (12) 70
25.3%
Common
ValueCountFrequency (%)
. 39
55.7%
/ 20
28.6%
: 10
 
14.3%
- 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 44
12.7%
. 39
 
11.2%
t 28
 
8.1%
o 25
 
7.2%
r 24
 
6.9%
/ 20
 
5.8%
h 18
 
5.2%
a 15
 
4.3%
e 14
 
4.0%
c 14
 
4.0%
Other values (16) 106
30.5%

위도
Real number (ℝ)

Distinct30
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.459015
Minimum37.436545
Maximum37.480366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T19:43:08.365238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436545
5-th percentile37.445454
Q137.455107
median37.45826
Q337.464567
95-th percentile37.47069
Maximum37.480366
Range0.04382133
Interquartile range (IQR)0.009460795

Descriptive statistics

Standard deviation0.0088253791
Coefficient of variation (CV)0.00023560094
Kurtosis0.7548733
Mean37.459015
Median Absolute Deviation (MAD)0.00603173
Skewness-0.27650873
Sum1460.9016
Variance7.7887316 × 10-5
MonotonicityNot monotonic
2024-01-28T19:43:08.454423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
37.46456747 3
 
7.7%
37.45808058 3
 
7.7%
37.46875843 3
 
7.7%
37.45826008 2
 
5.1%
37.44616185 2
 
5.1%
37.45621107 2
 
5.1%
37.43908711 1
 
2.6%
37.4555604 1
 
2.6%
37.45144803 1
 
2.6%
37.45381252 1
 
2.6%
Other values (20) 20
51.3%
ValueCountFrequency (%)
37.43654516 1
2.6%
37.43908711 1
2.6%
37.44616185 2
5.1%
37.44916798 1
2.6%
37.45144803 1
2.6%
37.45222835 1
2.6%
37.45319033 1
2.6%
37.45381252 1
2.6%
37.45485421 1
2.6%
37.45535914 1
2.6%
ValueCountFrequency (%)
37.48036649 1
 
2.6%
37.47248441 1
 
2.6%
37.47049048 1
 
2.6%
37.46875843 3
7.7%
37.46843273 1
 
2.6%
37.46733529 1
 
2.6%
37.46611064 1
 
2.6%
37.46456747 3
7.7%
37.46442151 1
 
2.6%
37.46085744 1
 
2.6%

경도
Real number (ℝ)

Distinct30
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66664
Minimum126.63992
Maximum126.69272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-01-28T19:43:08.554007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63992
5-th percentile126.64266
Q1126.65776
median126.66767
Q3126.6779
95-th percentile126.68862
Maximum126.69272
Range0.0528017
Interquartile range (IQR)0.0201458

Descriptive statistics

Standard deviation0.013552394
Coefficient of variation (CV)0.0001069926
Kurtosis-0.71637641
Mean126.66664
Median Absolute Deviation (MAD)0.0100976
Skewness0.033074812
Sum4939.9991
Variance0.00018366738
MonotonicityNot monotonic
2024-01-28T19:43:08.664224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
126.6679542 3
 
7.7%
126.6772234 3
 
7.7%
126.6608213 3
 
7.7%
126.6426622 2
 
5.1%
126.6579425 2
 
5.1%
126.6599353 2
 
5.1%
126.6731593 1
 
2.6%
126.639916 1
 
2.6%
126.6515423 1
 
2.6%
126.6632476 1
 
2.6%
Other values (20) 20
51.3%
ValueCountFrequency (%)
126.639916 1
2.6%
126.6426622 2
5.1%
126.6506205 1
2.6%
126.6515423 1
2.6%
126.6517911 1
2.6%
126.6557566 1
2.6%
126.6569336 1
2.6%
126.6572802 1
2.6%
126.6575699 1
2.6%
126.6579425 2
5.1%
ValueCountFrequency (%)
126.6927177 1
2.6%
126.6892542 1
2.6%
126.6885479 1
2.6%
126.6864606 1
2.6%
126.6832502 1
2.6%
126.6806237 1
2.6%
126.6806235 1
2.6%
126.6797282 1
2.6%
126.679295 1
2.6%
126.6785806 1
2.6%

Interactions

2024-01-28T19:43:02.879044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.488288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.697907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.946844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.560301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.763072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:03.007429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.625713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:43:02.820554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:43:08.740614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명분류유형사업내용인증여부예비여부인증일자인증번호대표자명전화번호도로명주소지번주소홈페이지주소위도경도
연번1.0001.0000.5780.5360.9330.9750.9750.8801.0001.0001.0001.0000.9671.0000.4130.319
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
분류0.5781.0001.0000.0001.0000.0000.0001.0001.0001.0001.0001.0000.6501.0000.0000.000
유형0.5361.0000.0001.0000.0000.0000.0000.0001.0001.0001.0001.0000.0001.0000.0000.000
사업내용0.9331.0001.0000.0001.0001.0001.0000.9691.0001.0001.0001.0000.9901.0000.8621.000
인증여부0.9751.0000.0000.0001.0001.0000.9871.0001.0001.0001.0001.0000.0001.0000.4270.266
예비여부0.9751.0000.0000.0001.0000.9871.0001.0001.0001.0001.0001.0000.0001.0000.4270.266
인증일자0.8801.0001.0000.0000.9691.0001.0001.0001.0001.0001.0001.0000.8991.0000.9600.707
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소0.9671.0000.6500.0000.9900.0000.0000.8991.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.4131.0000.0000.0000.8620.4270.4270.9601.0001.0001.0001.0001.0001.0001.0000.802
경도0.3191.0000.0000.0001.0000.2660.2660.7071.0001.0001.0001.0001.0001.0000.8021.000
2024-01-28T19:43:08.851468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증여부예비여부유형분류
인증여부1.0000.8990.0000.000
예비여부0.8991.0000.0000.000
유형0.0000.0001.0000.000
분류0.0000.0000.0001.000
2024-01-28T19:43:08.922293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도분류유형인증여부예비여부
연번1.0000.134-0.2130.2430.2630.7630.763
위도0.1341.0000.1230.0000.0000.3780.378
경도-0.2130.1231.0000.0000.0000.2280.228
분류0.2430.0000.0001.0000.0000.0000.000
유형0.2630.0000.0000.0001.0000.0000.000
인증여부0.7630.3780.2280.0000.0001.0000.899
예비여부0.7630.3780.2280.0000.0000.8991.000

Missing values

2024-01-28T19:43:03.104368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:43:03.460988image/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.
2024-01-28T19:43:03.549953image/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

연번기관명분류유형사업내용인증여부예비여부인증일자인증번호대표자명전화번호도로명주소지번주소홈페이지주소위도경도
01㈜최고의환한미소기타일자리제공형빈집 리모델링YN2014-06-30제2014-105호최환 차지원070-8868-2771인천광역시 미추홀구 수봉남로18번길 68(옹현동)인천광역시 미추홀구 용현동 62-7<NA>37.456211126.659935
12모씨네사회적협동조합예술·관광일자리제공형상영 미디어교육 영상제작등YN2013-12-17제2013-257호전철원032-471-3080인천광역시 미추홀구 석바위로68(주안필프라자) 401호인천광역시 미추홀구 주안동 173-1(주안필프라자) 401호http://www.wffii.kr37.460857126.680623
23사회복지법인 손사손사업단 예림일터기타일자리제공형종이컵생산YN2013-05-10제2013-045호공보연032-529-2677인천광역시 미추홀구 염전로 262-2(도화동)인천광역시 미추홀구 도화동 704-17http://www.iyerim.com37.472484126.669066
34㈜재미난나기타창의혁신형(기타)목재 이용한 가구제작YN2017-03-02제2017-20호이성민070-7552-1287인천광역시 미추홀구 인주대로 180, 19, 20호(용현동)인천광역시 미추홀구 용현동 139-3http://www.funnytree.kr37.455359126.656934
45인천로컬푸드생산자협동조합기타창의혁신형(기타)농산물가공 및 위탁판매YN2019-09-06제2019-216호권순실032-469-3005인천광역시 미추홀구 주안로 117-16, 행복주택 2층(주안동)인천광역시 미추홀구 주안동 124-1iclocalfood.org37.464422126.68325
56㈜청청프로젝트연구소기타창의혁신형(기타)대안교육 프로그램 운영 및 대안교육YN2019-03-07제2019-044호채상아032-872-2445인천광역시 미추홀구 소성로232(학익동)인천광역시 미추홀구 학익동 672-2http://www.together-school.or.kr37.439087126.673159
67㈜다사랑보육서비스보육일자리제공형재가보육서비스YN2008-10-23제2008-075호심옥빈032-891-5675인천광역시 미추홀구 경인로334-17, 3층인천광역시 미추홀구 주안동 506-45 (3층)http://www.dasar.co.kr37.458081126.677223
78㈜미추디자인기타일자리제공형현수막인쇄판촉YN2013-03-04제2013-011호이왕원032-884-9819인천광역시 미추홀구 장천로48번길 22 (숭의동)인천광역시 미추홀구 숭의동 210-5http://www.adhot.co.kr37.45692126.651791
89(주)다사랑 간병서비스간병및가사지원혼합형재가 간병YN2007-10-29제2007-011호김태경032-891-5676인천광역시 미추홀구 경인로 334-17인천광역시 미추홀구 주안동 506-45http://www.dasar.kr37.458081126.677223
910주식회사 다사랑 행복도시락기타혼합형도시락제조 판매YN2008-01-07제2007-047호양재덕032-864-4661인천광역시 미추홀구 한나루로403번길 134인천광역시 미추홀구 학익동 332-2http://www.happydsr.com37.446162126.657943
연번기관명분류유형사업내용인증여부예비여부인증일자인증번호대표자명전화번호도로명주소지번주소홈페이지주소위도경도
2930㈜주기타일자리제공형전자상거래 및 교육(동남아 오픈마켓)YN2021-05-11제2021-128호안영주0507-1316-0687인천광역시 미추홀구 경인로 229, 인천IT타워 405호(도화동)인천광역시 미추홀구 도화동 592-5, 405호<NA>37.464567126.667954
3031㈜로하스컴퍼니기타일자리제공형도시락제조 판매YN2023-03-30제2023-048호조양순032-875-8788인천광역시 미추홀구 인하로77번길 26, 1층(용현동)인천광역시 미추홀구 용현동 181-17<NA>37.452228126.65757
3132엠아이에스씨 사회적협동조합기타창의혁신형(기타)빈집 리모델링 및 버섯재배NY2020-09-28제2020-46호정상섭032-868-9018인천광역시 미추홀구 수봉남로18번길 68, 빈집은행 지하1층(용현동)인천광역시 미추홀구 용현동 62-7<NA>37.456211126.659935
3233㈜에이브기타일자리제공형방문요양서비스YN2021-09-08제2021-292호김효금032-205-9246인천광역시 미추홀구 미추홀대로697번길 22, 425호 (주안동)인천광역시 미추홀구 주안동 204-2<NA>37.45994126.678581
3334㈜국제스쿨기타일자리제공형휠체어리프트 및 가구 제조업YN2022-06-21제2022-413호김흥찬032-426-7300인천광역시 미추홀구 염전로 114 (도화동)인천광역시 미추홀구 도화동 952kjschool.co.kr37.480366126.655757
3435㈜에코드인기타창의혁신형(기타)환경교육 및 교보재 제작NY2022-11-01제2022-09호김지환032-866-7956인천광역시 미추홀구 경인남길 76 (용현동)인천광역시 미추홀구 용현동 169-3<NA>37.45319126.65728
3536㈜위드마기타창의혁신형(기타)가정용 전기 난방기기 제작NY2021-12-30제2021-046호안소윤032-873-7435인천광역시 미추홀구 인주대237번길 2 (용현동)인천광역시 미추홀구 용현동 103-14withmahrt.com37.453813126.663248
3637㈜원클릭글로벌마켓기타일자리제공형전자상거래NY2022-05-06제2022-05호김향화<NA>인천광역시 미추홀구 경인로 229 (도화동)인천광역시 미추홀구 도화동 592-5<NA>37.464567126.667954
3738㈜굿바디기타일자리제공형체형측정기기 제조NY2022-10-31제2022-01호김선화032-865-6001인천광역시 미추홀구 석정로 229 (도화동)인천광역시 미추홀구 도화동 1000<NA>37.468758126.660821
3839㈜씨티콘기타일자리제공형야외 공기정화기 제조NY2022-12-09제2022-063호이재식032-565-6369인천광역시 미추홀구 인하로 100 (용현동)인천광역시 미추홀구 용현동 253<NA>37.451448126.651542