Overview

Dataset statistics

Number of variables23
Number of observations1010
Missing cells570
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory191.5 KiB
Average record size in memory194.1 B

Variable types

Text9
Categorical4
Numeric10

Dataset

Description사회적기업의 주요 경영공시 현황 자료인증번호 / 기업명 / 대표자명 / 소재지 / 주업종 / 부업종 / 주업태 / 부업태 / 주종목 / 부종목 / 인증유형 / 설립연도 / 이사회_연간개최회수 / 기타_연간개최회수 / 취약계층근로자총인원 / 비취약계층근로자총인원 / 유급근로자총인원 / 취약계층평균임금 / 비취약계층평균임금 / 유급근로자평균임금 / 취약계층평균근로시간 / 비취약계층평균근로시간 / 유급근로자평균근로시간
Author한국사회적기업진흥원
URLhttps://www.data.go.kr/data/3071654/fileData.do

Alerts

주업태 has 36 (3.6%) missing valuesMissing
부업태 has 234 (23.2%) missing valuesMissing
주종목 has 64 (6.3%) missing valuesMissing
부종목 has 236 (23.4%) missing valuesMissing
인증번호 has unique valuesUnique
기업명 has unique valuesUnique
이사회_연간개최회수 has 59 (5.8%) zerosZeros
기타_연간개최회수 has 732 (72.5%) zerosZeros
취약계층근로자총인원 has 60 (5.9%) zerosZeros
비취약계층근로자총인원 has 83 (8.2%) zerosZeros
취약계층평균임금 has 60 (5.9%) zerosZeros
비취약계층평균임금 has 83 (8.2%) zerosZeros
취약계층평균근로시간 has 60 (5.9%) zerosZeros
비취약계층평균근로시간 has 83 (8.2%) zerosZeros

Reproduction

Analysis started2024-03-14 19:49:15.659054
Analysis finished2024-03-14 19:49:17.990157
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Text

UNIQUE 

Distinct1010
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T04:49:18.796758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length10.142574
Min length10

Characters and Unicode

Total characters10244
Distinct characters20
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

Unique1010 ?
Unique (%)100.0%

Sample

1st row제2007-002호
2nd row제2007-016호
3rd row제2007-022호
4th row제2007-033호
5th row제2007-035호
ValueCountFrequency (%)
제주특별자치도 18
 
1.8%
제2022-003호 2
 
0.2%
제2017-003호 2
 
0.2%
제2020-004호 2
 
0.2%
제2007-002호 1
 
0.1%
제2020-340호 1
 
0.1%
제2020-347호 1
 
0.1%
제2020-345호 1
 
0.1%
제2020-342호 1
 
0.1%
제2020-337호 1
 
0.1%
Other values (998) 998
97.1%
2024-03-15T04:49:20.353846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2070
20.2%
0 1751
17.1%
1 1179
11.5%
제 1028
10.0%
- 1010
9.9%
호 1010
9.9%
3 406
 
4.0%
9 316
 
3.1%
8 308
 
3.0%
6 277
 
2.7%
Other values (10) 889
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7070
69.0%
Other Letter 2146
 
20.9%
Dash Punctuation 1010
 
9.9%
Space Separator 18
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2070
29.3%
0 1751
24.8%
1 1179
16.7%
3 406
 
5.7%
9 316
 
4.5%
8 308
 
4.4%
6 277
 
3.9%
4 277
 
3.9%
7 253
 
3.6%
5 233
 
3.3%
Other Letter
ValueCountFrequency (%)
제 1028
47.9%
호 1010
47.1%
주 18
 
0.8%
특 18
 
0.8%
별 18
 
0.8%
자 18
 
0.8%
치 18
 
0.8%
도 18
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 1010
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8098
79.1%
Hangul 2146
 
20.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2070
25.6%
0 1751
21.6%
1 1179
14.6%
- 1010
12.5%
3 406
 
5.0%
9 316
 
3.9%
8 308
 
3.8%
6 277
 
3.4%
4 277
 
3.4%
7 253
 
3.1%
Other values (2) 251
 
3.1%
Hangul
ValueCountFrequency (%)
제 1028
47.9%
호 1010
47.1%
주 18
 
0.8%
특 18
 
0.8%
별 18
 
0.8%
자 18
 
0.8%
치 18
 
0.8%
도 18
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8098
79.1%
Hangul 2146
 
20.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2070
25.6%
0 1751
21.6%
1 1179
14.6%
- 1010
12.5%
3 406
 
5.0%
9 316
 
3.9%
8 308
 
3.8%
6 277
 
3.4%
4 277
 
3.4%
7 253
 
3.1%
Other values (2) 251
 
3.1%
Hangul
ValueCountFrequency (%)
제 1028
47.9%
호 1010
47.1%
주 18
 
0.8%
특 18
 
0.8%
별 18
 
0.8%
자 18
 
0.8%
치 18
 
0.8%
도 18
 
0.8%

기업명
Text

UNIQUE 

Distinct1010
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T04:49:21.205145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length23
Mean length10.263366
Min length4

Characters and Unicode

Total characters10366
Distinct characters580
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1010 ?
Unique (%)100.0%

Sample

1st row(재)아름다운가게
2nd row(주)미래이앤티
3rd row사회복지법인 손과손 핸인핸부평
4th row주식회사 컴윈
5th row㈜늘푸른자원
ValueCountFrequency (%)
주식회사 152
 
11.4%
사회적협동조합 36
 
2.7%
사단법인 31
 
2.3%
협동조합 17
 
1.3%
농업회사법인 16
 
1.2%
유한회사 10
 
0.8%
사회복지법인 9
 
0.7%
㈜ 8
 
0.6%
영농조합법인 3
 
0.2%
사회적기업 2
 
0.2%
Other values (1036) 1044
78.6%
2024-03-15T04:49:22.450787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 733
 
7.1%
회 635
 
6.1%
주 564
 
5.4%
식 360
 
3.5%
320
 
3.1%
합 305
 
2.9%
동 302
 
2.9%
조 301
 
2.9%
협 284
 
2.7%
) 235
 
2.3%
Other values (570) 6327
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9343
90.1%
Space Separator 320
 
3.1%
Close Punctuation 236
 
2.3%
Open Punctuation 235
 
2.3%
Uppercase Letter 113
 
1.1%
Lowercase Letter 67
 
0.6%
Other Symbol 26
 
0.3%
Other Punctuation 18
 
0.2%
Decimal Number 7
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 733
 
7.8%
회 635
 
6.8%
주 564
 
6.0%
식 360
 
3.9%
합 305
 
3.3%
동 302
 
3.2%
조 301
 
3.2%
협 284
 
3.0%
인 211
 
2.3%
적 167
 
1.8%
Other values (517) 5481
58.7%
Uppercase Letter
ValueCountFrequency (%)
C 12
10.6%
I 11
9.7%
T 10
8.8%
A 10
8.8%
O 9
8.0%
E 9
8.0%
L 9
8.0%
S 8
 
7.1%
N 8
 
7.1%
M 6
 
5.3%
Other values (10) 21
18.6%
Lowercase Letter
ValueCountFrequency (%)
o 12
17.9%
t 8
11.9%
r 6
9.0%
d 6
9.0%
e 6
9.0%
n 5
7.5%
l 4
 
6.0%
c 4
 
6.0%
i 3
 
4.5%
u 2
 
3.0%
Other values (9) 11
16.4%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
9 1
 
14.3%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 13
72.2%
, 4
 
22.2%
& 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 235
99.6%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 234
99.6%
[ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
320
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9369
90.4%
Common 817
 
7.9%
Latin 180
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 733
 
7.8%
회 635
 
6.8%
주 564
 
6.0%
식 360
 
3.8%
합 305
 
3.3%
동 302
 
3.2%
조 301
 
3.2%
협 284
 
3.0%
인 211
 
2.3%
적 167
 
1.8%
Other values (518) 5507
58.8%
Latin
ValueCountFrequency (%)
C 12
 
6.7%
o 12
 
6.7%
I 11
 
6.1%
T 10
 
5.6%
A 10
 
5.6%
O 9
 
5.0%
E 9
 
5.0%
L 9
 
5.0%
t 8
 
4.4%
S 8
 
4.4%
Other values (29) 82
45.6%
Common
ValueCountFrequency (%)
320
39.2%
) 235
28.8%
( 234
28.6%
. 13
 
1.6%
, 4
 
0.5%
1 3
 
0.4%
2 2
 
0.2%
9 1
 
0.1%
- 1
 
0.1%
5 1
 
0.1%
Other values (3) 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9343
90.1%
ASCII 997
 
9.6%
None 26
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 733
 
7.8%
회 635
 
6.8%
주 564
 
6.0%
식 360
 
3.9%
합 305
 
3.3%
동 302
 
3.2%
조 301
 
3.2%
협 284
 
3.0%
인 211
 
2.3%
적 167
 
1.8%
Other values (517) 5481
58.7%
ASCII
ValueCountFrequency (%)
320
32.1%
) 235
23.6%
( 234
23.5%
. 13
 
1.3%
C 12
 
1.2%
o 12
 
1.2%
I 11
 
1.1%
T 10
 
1.0%
A 10
 
1.0%
O 9
 
0.9%
Other values (42) 131
13.1%
None
ValueCountFrequency (%)
㈜ 26
100.0%

대표자명
Text

Distinct974
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T04:49:23.734904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.249505
Min length2

Characters and Unicode

Total characters3282
Distinct characters208
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

Unique944 ?
Unique (%)93.5%

Sample

1st row박진원
2nd row정남규
3rd row장영순
4th row정연철
5th row김진수
ValueCountFrequency (%)
김미선 5
 
0.5%
이현진 4
 
0.4%
김정희 3
 
0.3%
김선영 2
 
0.2%
김경숙 2
 
0.2%
최창용 2
 
0.2%
김영규 2
 
0.2%
김미정 2
 
0.2%
송영숙 2
 
0.2%
강정희 2
 
0.2%
Other values (1005) 1028
97.5%
2024-03-15T04:49:25.878461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 214
 
6.5%
이 160
 
4.9%
정 124
 
3.8%
영 114
 
3.5%
박 92
 
2.8%
경 77
 
2.3%
진 66
 
2.0%
현 61
 
1.9%
최 59
 
1.8%
희 55
 
1.7%
Other values (198) 2260
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3184
97.0%
Other Punctuation 51
 
1.6%
Space Separator 46
 
1.4%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 214
 
6.7%
이 160
 
5.0%
정 124
 
3.9%
영 114
 
3.6%
박 92
 
2.9%
경 77
 
2.4%
진 66
 
2.1%
현 61
 
1.9%
최 59
 
1.9%
희 55
 
1.7%
Other values (194) 2162
67.9%
Other Punctuation
ValueCountFrequency (%)
, 50
98.0%
. 1
 
2.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3184
97.0%
Common 98
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 214
 
6.7%
이 160
 
5.0%
정 124
 
3.9%
영 114
 
3.6%
박 92
 
2.9%
경 77
 
2.4%
진 66
 
2.1%
현 61
 
1.9%
최 59
 
1.9%
희 55
 
1.7%
Other values (194) 2162
67.9%
Common
ValueCountFrequency (%)
, 50
51.0%
46
46.9%
. 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3184
97.0%
ASCII 98
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 214
 
6.7%
이 160
 
5.0%
정 124
 
3.9%
영 114
 
3.6%
박 92
 
2.9%
경 77
 
2.4%
진 66
 
2.1%
현 61
 
1.9%
최 59
 
1.9%
희 55
 
1.7%
Other values (194) 2162
67.9%
ASCII
ValueCountFrequency (%)
, 50
51.0%
46
46.9%
. 1
 
1.0%
1 1
 
1.0%

소재지
Text

Distinct1009
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T04:49:27.464118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length31.436634
Min length16

Characters and Unicode

Total characters31751
Distinct characters527
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1008 ?
Unique (%)99.8%

Sample

1st row서울특별시 중구 소공로 34 (회현동2가)
2nd row충청북도 청주시 청원구 오창읍 신평중신길 85
3rd row인천광역시 부평구 동수로 87 부평동 E동
4th row경기도 화성시 팔탄면 온천로 122-9
5th row경상남도 창원시 의창구 북면 백월로74번기곡길 9
ValueCountFrequency (%)
317
 
5.0%
서울특별시 194
 
3.1%
경기도 174
 
2.8%
전라북도 72
 
1.1%
2층 67
 
1.1%
경상북도 66
 
1.0%
인천광역시 55
 
0.9%
경상남도 55
 
0.9%
1층 55
 
0.9%
충청남도 49
 
0.8%
Other values (3060) 5219
82.5%
2024-03-15T04:49:29.418403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5547
 
17.5%
1 1189
 
3.7%
동 976
 
3.1%
시 974
 
3.1%
로 877
 
2.8%
2 870
 
2.7%
구 678
 
2.1%
) 676
 
2.1%
( 673
 
2.1%
도 628
 
2.0%
Other values (517) 18663
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18531
58.4%
Space Separator 5547
 
17.5%
Decimal Number 5301
 
16.7%
Close Punctuation 676
 
2.1%
Open Punctuation 673
 
2.1%
Other Punctuation 623
 
2.0%
Dash Punctuation 303
 
1.0%
Uppercase Letter 89
 
0.3%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 976
 
5.3%
시 974
 
5.3%
로 877
 
4.7%
구 678
 
3.7%
도 628
 
3.4%
길 496
 
2.7%
층 401
 
2.2%
산 379
 
2.0%
호 378
 
2.0%
서 370
 
2.0%
Other values (475) 12374
66.8%
Uppercase Letter
ValueCountFrequency (%)
B 22
24.7%
S 12
13.5%
A 8
 
9.0%
L 6
 
6.7%
K 6
 
6.7%
U 5
 
5.6%
F 5
 
5.6%
E 3
 
3.4%
H 3
 
3.4%
T 3
 
3.4%
Other values (9) 16
18.0%
Decimal Number
ValueCountFrequency (%)
1 1189
22.4%
2 870
16.4%
3 603
11.4%
0 574
10.8%
4 457
 
8.6%
5 388
 
7.3%
6 353
 
6.7%
7 323
 
6.1%
8 278
 
5.2%
9 266
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
r 1
16.7%
t 1
16.7%
n 1
16.7%
c 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 618
99.2%
. 5
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 1
50.0%
∥ 1
50.0%
Space Separator
ValueCountFrequency (%)
5547
100.0%
Close Punctuation
ValueCountFrequency (%)
) 676
100.0%
Open Punctuation
ValueCountFrequency (%)
( 673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 303
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18531
58.4%
Common 13125
41.3%
Latin 95
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 976
 
5.3%
시 974
 
5.3%
로 877
 
4.7%
구 678
 
3.7%
도 628
 
3.4%
길 496
 
2.7%
층 401
 
2.2%
산 379
 
2.0%
호 378
 
2.0%
서 370
 
2.0%
Other values (475) 12374
66.8%
Latin
ValueCountFrequency (%)
B 22
23.2%
S 12
12.6%
A 8
 
8.4%
L 6
 
6.3%
K 6
 
6.3%
U 5
 
5.3%
F 5
 
5.3%
E 3
 
3.2%
H 3
 
3.2%
T 3
 
3.2%
Other values (14) 22
23.2%
Common
ValueCountFrequency (%)
5547
42.3%
1 1189
 
9.1%
2 870
 
6.6%
) 676
 
5.2%
( 673
 
5.1%
, 618
 
4.7%
3 603
 
4.6%
0 574
 
4.4%
4 457
 
3.5%
5 388
 
3.0%
Other values (8) 1530
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18531
58.4%
ASCII 13219
41.6%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5547
42.0%
1 1189
 
9.0%
2 870
 
6.6%
) 676
 
5.1%
( 673
 
5.1%
, 618
 
4.7%
3 603
 
4.6%
0 574
 
4.3%
4 457
 
3.5%
5 388
 
2.9%
Other values (31) 1624
 
12.3%
Hangul
ValueCountFrequency (%)
동 976
 
5.3%
시 974
 
5.3%
로 877
 
4.7%
구 678
 
3.7%
도 628
 
3.4%
길 496
 
2.7%
층 401
 
2.2%
산 379
 
2.0%
호 378
 
2.0%
서 370
 
2.0%
Other values (475) 12374
66.8%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

주업종
Categorical

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
제조업(C)
263 
교육 서비스업(P)
135 
도매 및 소매업(G)
112 
보건업 및 사회복지 서비스업(Q)
97 
사업시설관리 및 사업지원 서비스업(N)
95 
Other values (11)
308 

Length

Max length26
Median length22
Mean length12.575248
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도매 및 소매업(G)
2nd row하수, 폐기물처리, 원료재생 및 환경복원업(E)
3rd row제조업(C)
4th row하수, 폐기물처리, 원료재생 및 환경복원업(E)
5th row하수, 폐기물처리, 원료재생 및 환경복원업(E)

Common Values

ValueCountFrequency (%)
제조업(C) 263
26.0%
교육 서비스업(P) 135
13.4%
도매 및 소매업(G) 112
11.1%
보건업 및 사회복지 서비스업(Q) 97
 
9.6%
사업시설관리 및 사업지원 서비스업(N) 95
 
9.4%
예술, 스포츠 및 여가관련 서비스업(R) 91
 
9.0%
건설업(F) 48
 
4.8%
정보통신업(J) 38
 
3.8%
숙박 및 음식점업(I) 32
 
3.2%
전문, 과학 및 기술 서비스업(M) 25
 
2.5%
Other values (6) 74
 
7.3%

Length

2024-03-15T04:49:29.882699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 538
19.6%
제조업(c 263
 
9.6%
서비스업(p 135
 
4.9%
교육 135
 
4.9%
도매 112
 
4.1%
소매업(g 112
 
4.1%
보건업 97
 
3.5%
사회복지 97
 
3.5%
서비스업(q 97
 
3.5%
사업지원 95
 
3.5%
Other values (33) 1061
38.7%

부업종
Categorical

Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
<NA>
550 
도매 및 소매업(G)
126 
제조업(C)
82 
교육 서비스업(P)
 
53
사업시설관리 및 사업지원 서비스업(N)
 
30
Other values (20)
169 

Length

Max length26
Median length4
Mean length7.9346535
Min length2

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row제조업(C)
3rd row<NA>
4th row<NA>
5th row제조업(C)

Common Values

ValueCountFrequency (%)
<NA> 550
54.5%
도매 및 소매업(G) 126
 
12.5%
제조업(C) 82
 
8.1%
교육 서비스업(P) 53
 
5.2%
사업시설관리 및 사업지원 서비스업(N) 30
 
3.0%
보건업 및 사회복지 서비스업(Q) 28
 
2.8%
숙박 및 음식점업(I) 25
 
2.5%
예술, 스포츠 및 여가관련 서비스업(R) 25
 
2.5%
전문, 과학 및 기술 서비스업(M) 24
 
2.4%
건설업(F) 21
 
2.1%
Other values (15) 46
 
4.6%

Length

2024-03-15T04:49:30.307256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 550
29.3%
및 299
15.9%
소매업(g 126
 
6.7%
도매 126
 
6.7%
제조업(c 82
 
4.4%
교육 53
 
2.8%
서비스업(p 53
 
2.8%
사업시설관리 30
 
1.6%
사업지원 30
 
1.6%
서비스업(n 30
 
1.6%
Other values (48) 498
26.5%

주업태
Text

MISSING 

Distinct287
Distinct (%)29.5%
Missing36
Missing (%)3.6%
Memory size8.0 KiB
2024-03-15T04:49:31.088354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length5.2125257
Min length2

Characters and Unicode

Total characters5077
Distinct characters249
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

Unique242 ?
Unique (%)24.8%

Sample

1st row도소매
2nd row도.소매
3rd row제조업
4th row제조
5th row도소매
ValueCountFrequency (%)
서비스 233
17.9%
제조업 159
 
12.2%
서비스업 111
 
8.5%
제조 63
 
4.8%
및 62
 
4.8%
도소매 56
 
4.3%
건설업 33
 
2.5%
교육서비스업 29
 
2.2%
도매 29
 
2.2%
교육서비스 27
 
2.1%
Other values (303) 497
38.3%
2024-03-15T04:49:32.239528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 560
 
11.0%
스 491
 
9.7%
비 484
 
9.5%
서 478
 
9.4%
333
 
6.6%
제 265
 
5.2%
조 254
 
5.0%
매 188
 
3.7%
, 159
 
3.1%
소 147
 
2.9%
Other values (239) 1718
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4543
89.5%
Space Separator 333
 
6.6%
Other Punctuation 183
 
3.6%
Uppercase Letter 6
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 560
 
12.3%
스 491
 
10.8%
비 484
 
10.7%
서 478
 
10.5%
제 265
 
5.8%
조 254
 
5.6%
매 188
 
4.1%
소 147
 
3.2%
도 142
 
3.1%
육 93
 
2.0%
Other values (222) 1441
31.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
V 1
16.7%
P 1
16.7%
D 1
16.7%
E 1
16.7%
L 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 159
86.9%
. 10
 
5.5%
/ 9
 
4.9%
· 4
 
2.2%
& 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4543
89.5%
Common 525
 
10.3%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 560
 
12.3%
스 491
 
10.8%
비 484
 
10.7%
서 478
 
10.5%
제 265
 
5.8%
조 254
 
5.6%
매 188
 
4.1%
소 147
 
3.2%
도 142
 
3.1%
육 93
 
2.0%
Other values (222) 1441
31.7%
Common
ValueCountFrequency (%)
333
63.4%
, 159
30.3%
. 10
 
1.9%
/ 9
 
1.7%
( 4
 
0.8%
) 4
 
0.8%
· 4
 
0.8%
1 1
 
0.2%
& 1
 
0.2%
Latin
ValueCountFrequency (%)
c 2
22.2%
C 1
11.1%
V 1
11.1%
P 1
11.1%
D 1
11.1%
E 1
11.1%
L 1
11.1%
n 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4543
89.5%
ASCII 530
 
10.4%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 560
 
12.3%
스 491
 
10.8%
비 484
 
10.7%
서 478
 
10.5%
제 265
 
5.8%
조 254
 
5.6%
매 188
 
4.1%
소 147
 
3.2%
도 142
 
3.1%
육 93
 
2.0%
Other values (222) 1441
31.7%
ASCII
ValueCountFrequency (%)
333
62.8%
, 159
30.0%
. 10
 
1.9%
/ 9
 
1.7%
( 4
 
0.8%
) 4
 
0.8%
c 2
 
0.4%
C 1
 
0.2%
V 1
 
0.2%
P 1
 
0.2%
Other values (6) 6
 
1.1%
None
ValueCountFrequency (%)
· 4
100.0%

부업태
Text

MISSING 

Distinct164
Distinct (%)21.1%
Missing234
Missing (%)23.2%
Memory size8.0 KiB
2024-03-15T04:49:33.480616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length4.2409794
Min length2

Characters and Unicode

Total characters3291
Distinct characters154
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)16.2%

Sample

1st row도소매
2nd row제조업
3rd row소매업
4th row제조
5th row전문 과학및 기술서비스업
ValueCountFrequency (%)
서비스 131
14.2%
도소매 101
 
10.9%
제조업 92
 
10.0%
서비스업 70
 
7.6%
및 51
 
5.5%
소매업 42
 
4.6%
도매 38
 
4.1%
도소매업 32
 
3.5%
건설업 29
 
3.1%
제조 23
 
2.5%
Other values (157) 314
34.0%
2024-03-15T04:49:34.944973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 414
12.6%
매 292
 
8.9%
스 261
 
7.9%
서 260
 
7.9%
비 259
 
7.9%
소 228
 
6.9%
도 221
 
6.7%
154
 
4.7%
제 129
 
3.9%
조 128
 
3.9%
Other values (144) 945
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3079
93.6%
Space Separator 154
 
4.7%
Other Punctuation 48
 
1.5%
Uppercase Letter 5
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 414
13.4%
매 292
 
9.5%
스 261
 
8.5%
서 260
 
8.4%
비 259
 
8.4%
소 228
 
7.4%
도 221
 
7.2%
제 129
 
4.2%
조 128
 
4.2%
및 83
 
2.7%
Other values (134) 804
26.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
R 1
20.0%
T 1
20.0%
V 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 42
87.5%
. 6
 
12.5%
Space Separator
ValueCountFrequency (%)
154
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3079
93.6%
Common 207
 
6.3%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 414
13.4%
매 292
 
9.5%
스 261
 
8.5%
서 260
 
8.4%
비 259
 
8.4%
소 228
 
7.4%
도 221
 
7.2%
제 129
 
4.2%
조 128
 
4.2%
및 83
 
2.7%
Other values (134) 804
26.1%
Common
ValueCountFrequency (%)
154
74.4%
, 42
 
20.3%
. 6
 
2.9%
( 2
 
1.0%
) 2
 
1.0%
4 1
 
0.5%
Latin
ValueCountFrequency (%)
C 2
40.0%
R 1
20.0%
T 1
20.0%
V 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3078
93.5%
ASCII 212
 
6.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 414
13.5%
매 292
 
9.5%
스 261
 
8.5%
서 260
 
8.4%
비 259
 
8.4%
소 228
 
7.4%
도 221
 
7.2%
제 129
 
4.2%
조 128
 
4.2%
및 83
 
2.7%
Other values (133) 803
26.1%
ASCII
ValueCountFrequency (%)
154
72.6%
, 42
 
19.8%
. 6
 
2.8%
( 2
 
0.9%
) 2
 
0.9%
C 2
 
0.9%
R 1
 
0.5%
4 1
 
0.5%
T 1
 
0.5%
V 1
 
0.5%
Compat Jamo
ValueCountFrequency (%)
ㅗ 1
100.0%

주종목
Text

MISSING 

Distinct778
Distinct (%)82.2%
Missing64
Missing (%)6.3%
Memory size8.0 KiB
2024-03-15T04:49:35.977913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length7.3773784
Min length1

Characters and Unicode

Total characters6979
Distinct characters406
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

Unique696 ?
Unique (%)73.6%

Sample

1st row재활용품
2nd row폐플라스틱,고철,비철
3rd row카트리지
4th row전자제품재활용품
5th row지역문화정책 연구사업
ValueCountFrequency (%)
및 76
 
5.5%
서비스 17
 
1.2%
제조업 15
 
1.1%
농산물 15
 
1.1%
교육 13
 
0.9%
서비스업 11
 
0.8%
제조 10
 
0.7%
위생관리용역 10
 
0.7%
교육서비스 9
 
0.7%
기획 8
 
0.6%
Other values (902) 1188
86.6%
2024-03-15T04:49:37.569130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
 
6.2%
, 271
 
3.9%
업 262
 
3.8%
기 157
 
2.2%
제 138
 
2.0%
물 138
 
2.0%
교 134
 
1.9%
육 129
 
1.8%
사 120
 
1.7%
공 118
 
1.7%
Other values (396) 5080
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6174
88.5%
Space Separator 432
 
6.2%
Other Punctuation 289
 
4.1%
Uppercase Letter 47
 
0.7%
Open Punctuation 14
 
0.2%
Close Punctuation 12
 
0.2%
Lowercase Letter 7
 
0.1%
Decimal Number 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 262
 
4.2%
기 157
 
2.5%
제 138
 
2.2%
물 138
 
2.2%
교 134
 
2.2%
육 129
 
2.1%
사 120
 
1.9%
공 118
 
1.9%
및 116
 
1.9%
스 114
 
1.8%
Other values (372) 4748
76.9%
Uppercase Letter
ValueCountFrequency (%)
C 10
21.3%
D 9
19.1%
E 7
14.9%
V 6
12.8%
T 5
10.6%
L 5
10.6%
Q 1
 
2.1%
M 1
 
2.1%
P 1
 
2.1%
W 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
c 3
42.9%
v 2
28.6%
t 1
 
14.3%
p 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 271
93.8%
. 10
 
3.5%
/ 8
 
2.8%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6174
88.5%
Common 751
 
10.8%
Latin 54
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 262
 
4.2%
기 157
 
2.5%
제 138
 
2.2%
물 138
 
2.2%
교 134
 
2.2%
육 129
 
2.1%
사 120
 
1.9%
공 118
 
1.9%
및 116
 
1.9%
스 114
 
1.8%
Other values (372) 4748
76.9%
Latin
ValueCountFrequency (%)
C 10
18.5%
D 9
16.7%
E 7
13.0%
V 6
11.1%
T 5
9.3%
L 5
9.3%
c 3
 
5.6%
v 2
 
3.7%
Q 1
 
1.9%
M 1
 
1.9%
Other values (5) 5
9.3%
Common
ValueCountFrequency (%)
432
57.5%
, 271
36.1%
( 14
 
1.9%
) 12
 
1.6%
. 10
 
1.3%
/ 8
 
1.1%
3 2
 
0.3%
` 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6174
88.5%
ASCII 805
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
432
53.7%
, 271
33.7%
( 14
 
1.7%
) 12
 
1.5%
. 10
 
1.2%
C 10
 
1.2%
D 9
 
1.1%
/ 8
 
1.0%
E 7
 
0.9%
V 6
 
0.7%
Other values (14) 26
 
3.2%
Hangul
ValueCountFrequency (%)
업 262
 
4.2%
기 157
 
2.5%
제 138
 
2.2%
물 138
 
2.2%
교 134
 
2.2%
육 129
 
2.1%
사 120
 
1.9%
공 118
 
1.9%
및 116
 
1.9%
스 114
 
1.8%
Other values (372) 4748
76.9%

부종목
Text

MISSING 

Distinct641
Distinct (%)82.8%
Missing236
Missing (%)23.4%
Memory size8.0 KiB
2024-03-15T04:49:38.731334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length25
Mean length6.6834625
Min length1

Characters and Unicode

Total characters5173
Distinct characters392
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

Unique568 ?
Unique (%)73.4%

Sample

1st row재활용품제조업
2nd row폐플라스틱등 재생재료가공
3rd row전산소모품
4th row컴퓨터재활용품
5th row행사기획
ValueCountFrequency (%)
및 45
 
4.1%
전자상거래 17
 
1.6%
제조업 10
 
0.9%
농산물 10
 
0.9%
서비스 9
 
0.8%
교육 8
 
0.7%
외 8
 
0.7%
등 7
 
0.6%
소독 6
 
0.6%
기타 6
 
0.6%
Other values (737) 961
88.4%
2024-03-15T04:49:40.057559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
6.1%
업 213
 
4.1%
, 160
 
3.1%
기 126
 
2.4%
품 117
 
2.3%
소 102
 
2.0%
교 97
 
1.9%
물 95
 
1.8%
사 93
 
1.8%
용 86
 
1.7%
Other values (382) 3767
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4596
88.8%
Space Separator 317
 
6.1%
Other Punctuation 169
 
3.3%
Uppercase Letter 56
 
1.1%
Lowercase Letter 12
 
0.2%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Decimal Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 213
 
4.6%
기 126
 
2.7%
품 117
 
2.5%
소 102
 
2.2%
교 97
 
2.1%
물 95
 
2.1%
사 93
 
2.0%
용 86
 
1.9%
제 83
 
1.8%
공 82
 
1.8%
Other values (345) 3502
76.2%
Uppercase Letter
ValueCountFrequency (%)
C 12
21.4%
D 8
14.3%
T 7
12.5%
V 6
10.7%
L 4
 
7.1%
E 4
 
7.1%
P 3
 
5.4%
S 2
 
3.6%
A 2
 
3.6%
Y 1
 
1.8%
Other values (7) 7
12.5%
Lowercase Letter
ValueCountFrequency (%)
r 2
16.7%
i 2
16.7%
v 1
8.3%
y 1
8.3%
m 1
8.3%
e 1
8.3%
u 1
8.3%
n 1
8.3%
g 1
8.3%
t 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
4 2
28.6%
5 1
 
14.3%
3 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 160
94.7%
. 6
 
3.6%
/ 3
 
1.8%
Space Separator
ValueCountFrequency (%)
317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4596
88.8%
Common 509
 
9.8%
Latin 68
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 213
 
4.6%
기 126
 
2.7%
품 117
 
2.5%
소 102
 
2.2%
교 97
 
2.1%
물 95
 
2.1%
사 93
 
2.0%
용 86
 
1.9%
제 83
 
1.8%
공 82
 
1.8%
Other values (345) 3502
76.2%
Latin
ValueCountFrequency (%)
C 12
17.6%
D 8
11.8%
T 7
 
10.3%
V 6
 
8.8%
L 4
 
5.9%
E 4
 
5.9%
P 3
 
4.4%
S 2
 
2.9%
r 2
 
2.9%
A 2
 
2.9%
Other values (17) 18
26.5%
Common
ValueCountFrequency (%)
317
62.3%
, 160
31.4%
( 8
 
1.6%
) 8
 
1.6%
. 6
 
1.2%
1 3
 
0.6%
/ 3
 
0.6%
4 2
 
0.4%
5 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4595
88.8%
ASCII 577
 
11.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
54.9%
, 160
27.7%
C 12
 
2.1%
( 8
 
1.4%
) 8
 
1.4%
D 8
 
1.4%
T 7
 
1.2%
V 6
 
1.0%
. 6
 
1.0%
L 4
 
0.7%
Other values (27) 41
 
7.1%
Hangul
ValueCountFrequency (%)
업 213
 
4.6%
기 126
 
2.7%
품 117
 
2.5%
소 102
 
2.2%
교 97
 
2.1%
물 95
 
2.1%
사 93
 
2.0%
용 86
 
1.9%
제 83
 
1.8%
공 82
 
1.8%
Other values (344) 3501
76.2%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
100.0%

인증유형
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
일자리제공형
662 
기타(창의ㆍ혁신)형
110 
지역사회공헌형
106 
사회서비스제공형
84 
혼합형
 
47

Length

Max length10
Median length6
Mean length6.5712871
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row기타(창의ㆍ혁신)형
2nd row기타(창의ㆍ혁신)형
3rd row일자리제공형
4th row일자리제공형
5th row기타(창의ㆍ혁신)형

Common Values

ValueCountFrequency (%)
일자리제공형 662
65.5%
기타(창의ㆍ혁신)형 110
 
10.9%
지역사회공헌형 106
 
10.5%
사회서비스제공형 84
 
8.3%
혼합형 47
 
4.7%
기타(창의·혁신)형 1
 
0.1%

Length

2024-03-15T04:49:40.343169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:49:40.696258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 662
65.5%
기타(창의ㆍ혁신)형 110
 
10.9%
지역사회공헌형 106
 
10.5%
사회서비스제공형 84
 
8.3%
혼합형 47
 
4.7%
기타(창의·혁신)형 1
 
0.1%

설립연도
Real number (ℝ)

Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.7238
Minimum1956
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:41.067401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1956
5-th percentile2004
Q12012
median2015
Q32017
95-th percentile2019
Maximum2021
Range65
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.1602592
Coefficient of variation (CV)0.0025625457
Kurtosis18.397273
Mean2013.7238
Median Absolute Deviation (MAD)3
Skewness-2.7241986
Sum2033861
Variance26.628275
MonotonicityNot monotonic
2024-03-15T04:49:41.471454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2018 123
12.2%
2016 113
11.2%
2013 98
9.7%
2017 95
9.4%
2015 88
8.7%
2014 78
7.7%
2019 74
7.3%
2012 70
 
6.9%
2011 48
 
4.8%
2010 43
 
4.3%
Other values (20) 180
17.8%
ValueCountFrequency (%)
1956 1
 
0.1%
1981 1
 
0.1%
1989 1
 
0.1%
1990 1
 
0.1%
1993 1
 
0.1%
1994 2
 
0.2%
1995 3
 
0.3%
1999 4
 
0.4%
2000 11
1.1%
2001 6
0.6%
ValueCountFrequency (%)
2021 8
 
0.8%
2020 26
 
2.6%
2019 74
7.3%
2018 123
12.2%
2017 95
9.4%
2016 113
11.2%
2015 88
8.7%
2014 78
7.7%
2013 98
9.7%
2012 70
6.9%

이사회_연간개최회수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1138614
Minimum0
Maximum17
Zeros59
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:41.837013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile7
Maximum17
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1760718
Coefficient of variation (CV)0.69883386
Kurtosis6.9544027
Mean3.1138614
Median Absolute Deviation (MAD)1
Skewness2.023177
Sum3145
Variance4.7352883
MonotonicityNot monotonic
2024-03-15T04:49:42.230449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 352
34.9%
3 182
18.0%
4 178
17.6%
1 80
 
7.9%
0 59
 
5.8%
5 54
 
5.3%
6 41
 
4.1%
7 20
 
2.0%
8 15
 
1.5%
9 9
 
0.9%
Other values (6) 20
 
2.0%
ValueCountFrequency (%)
0 59
 
5.8%
1 80
 
7.9%
2 352
34.9%
3 182
18.0%
4 178
17.6%
5 54
 
5.3%
6 41
 
4.1%
7 20
 
2.0%
8 15
 
1.5%
9 9
 
0.9%
ValueCountFrequency (%)
17 2
 
0.2%
15 1
 
0.1%
13 3
 
0.3%
12 7
 
0.7%
11 4
 
0.4%
10 3
 
0.3%
9 9
 
0.9%
8 15
 
1.5%
7 20
2.0%
6 41
4.1%

기타_연간개최회수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69108911
Minimum0
Maximum19
Zeros732
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:42.663416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5977002
Coefficient of variation (CV)2.3118585
Kurtosis27.441611
Mean0.69108911
Median Absolute Deviation (MAD)0
Skewness4.1867592
Sum698
Variance2.552646
MonotonicityNot monotonic
2024-03-15T04:49:43.044384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 732
72.5%
1 112
 
11.1%
2 72
 
7.1%
4 40
 
4.0%
3 28
 
2.8%
5 9
 
0.9%
6 4
 
0.4%
9 4
 
0.4%
8 2
 
0.2%
7 2
 
0.2%
Other values (4) 5
 
0.5%
ValueCountFrequency (%)
0 732
72.5%
1 112
 
11.1%
2 72
 
7.1%
3 28
 
2.8%
4 40
 
4.0%
5 9
 
0.9%
6 4
 
0.4%
7 2
 
0.2%
8 2
 
0.2%
9 4
 
0.4%
ValueCountFrequency (%)
19 1
 
0.1%
12 1
 
0.1%
11 2
 
0.2%
10 1
 
0.1%
9 4
 
0.4%
8 2
 
0.2%
7 2
 
0.2%
6 4
 
0.4%
5 9
 
0.9%
4 40
4.0%

취약계층근로자총인원
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.860396
Minimum0
Maximum493
Zeros60
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:43.534231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q312
95-th percentile52.55
Maximum493
Range493
Interquartile range (IQR)10

Descriptive statistics

Standard deviation40.215097
Coefficient of variation (CV)2.7061928
Kurtosis64.153325
Mean14.860396
Median Absolute Deviation (MAD)3
Skewness7.2036345
Sum15009
Variance1617.254
MonotonicityNot monotonic
2024-03-15T04:49:43.854868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 138
13.7%
3 113
 
11.2%
1 102
 
10.1%
4 100
 
9.9%
5 67
 
6.6%
0 60
 
5.9%
6 50
 
5.0%
8 33
 
3.3%
7 26
 
2.6%
12 24
 
2.4%
Other values (81) 297
29.4%
ValueCountFrequency (%)
0 60
5.9%
1 102
10.1%
2 138
13.7%
3 113
11.2%
4 100
9.9%
5 67
6.6%
6 50
 
5.0%
7 26
 
2.6%
8 33
 
3.3%
9 23
 
2.3%
ValueCountFrequency (%)
493 1
0.1%
476 1
0.1%
409 1
0.1%
375 1
0.1%
359 1
0.1%
281 1
0.1%
278 1
0.1%
243 1
0.1%
234 1
0.1%
220 1
0.1%

비취약계층근로자총인원
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7247525
Minimum0
Maximum481
Zeros83
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:44.285535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile24.55
Maximum481
Range481
Interquartile range (IQR)6

Descriptive statistics

Standard deviation23.285607
Coefficient of variation (CV)2.6689132
Kurtosis184.47194
Mean8.7247525
Median Absolute Deviation (MAD)3
Skewness11.20374
Sum8812
Variance542.21951
MonotonicityNot monotonic
2024-03-15T04:49:44.902560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 149
14.8%
1 131
13.0%
3 122
12.1%
4 95
9.4%
0 83
8.2%
5 67
 
6.6%
6 47
 
4.7%
8 44
 
4.4%
9 35
 
3.5%
7 33
 
3.3%
Other values (54) 204
20.2%
ValueCountFrequency (%)
0 83
8.2%
1 131
13.0%
2 149
14.8%
3 122
12.1%
4 95
9.4%
5 67
6.6%
6 47
 
4.7%
7 33
 
3.3%
8 44
 
4.4%
9 35
 
3.5%
ValueCountFrequency (%)
481 1
0.1%
214 1
0.1%
167 1
0.1%
166 1
0.1%
158 1
0.1%
151 1
0.1%
150 1
0.1%
147 1
0.1%
144 1
0.1%
107 1
0.1%

유급근로자총인원
Real number (ℝ)

Distinct115
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.585149
Minimum0
Maximum634
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:45.307224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q320
95-th percentile71.55
Maximum634
Range634
Interquartile range (IQR)15

Descriptive statistics

Standard deviation56.614121
Coefficient of variation (CV)2.400414
Kurtosis49.784362
Mean23.585149
Median Absolute Deviation (MAD)5
Skewness6.4429054
Sum23821
Variance3205.1587
MonotonicityNot monotonic
2024-03-15T04:49:45.764381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 98
 
9.7%
4 81
 
8.0%
6 79
 
7.8%
3 79
 
7.8%
7 53
 
5.2%
8 53
 
5.2%
9 38
 
3.8%
2 37
 
3.7%
12 33
 
3.3%
1 23
 
2.3%
Other values (105) 436
43.2%
ValueCountFrequency (%)
0 5
 
0.5%
1 23
 
2.3%
2 37
 
3.7%
3 79
7.8%
4 81
8.0%
5 98
9.7%
6 79
7.8%
7 53
5.2%
8 53
5.2%
9 38
 
3.8%
ValueCountFrequency (%)
634 1
0.1%
596 1
0.1%
546 1
0.1%
525 1
0.1%
446 1
0.1%
422 1
0.1%
409 1
0.1%
372 1
0.1%
348 1
0.1%
341 1
0.1%

취약계층평균임금
Real number (ℝ)

ZEROS 

Distinct808
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1802630.3
Minimum0
Maximum9432007
Zeros60
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:46.268310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11377068.5
median1914500
Q32214446.5
95-th percentile2945896.1
Maximum9432007
Range9432007
Interquartile range (IQR)837378

Descriptive statistics

Standard deviation832213.11
Coefficient of variation (CV)0.46166598
Kurtosis9.5029055
Mean1802630.3
Median Absolute Deviation (MAD)403010
Skewness1.0197288
Sum1.8206566 × 109
Variance6.9257867 × 1011
MonotonicityNot monotonic
2024-03-15T04:49:46.842042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
 
5.9%
2000000 31
 
3.1%
1920000 14
 
1.4%
2200000 8
 
0.8%
2100000 8
 
0.8%
1914440 7
 
0.7%
2500000 7
 
0.7%
2250000 6
 
0.6%
2020000 5
 
0.5%
2025000 4
 
0.4%
Other values (798) 860
85.1%
ValueCountFrequency (%)
0 60
5.9%
201134 1
 
0.1%
225789 1
 
0.1%
305994 1
 
0.1%
325000 1
 
0.1%
360000 1
 
0.1%
375000 1
 
0.1%
485480 1
 
0.1%
500000 1
 
0.1%
512500 1
 
0.1%
ValueCountFrequency (%)
9432007 1
0.1%
7034656 1
0.1%
5840772 1
0.1%
5729825 1
0.1%
5000000 1
0.1%
4650000 1
0.1%
4357850 1
0.1%
4303040 1
0.1%
4000000 1
0.1%
3975422 1
0.1%

비취약계층평균임금
Real number (ℝ)

ZEROS 

Distinct761
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2151394.2
Minimum0
Maximum8612000
Zeros83
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:47.324389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11858953
median2200920
Q32600000
95-th percentile3500000
Maximum8612000
Range8612000
Interquartile range (IQR)741047

Descriptive statistics

Standard deviation943838.87
Coefficient of variation (CV)0.43871034
Kurtosis3.4965856
Mean2151394.2
Median Absolute Deviation (MAD)368944.5
Skewness-0.011309436
Sum2.1729081 × 109
Variance8.9083181 × 1011
MonotonicityNot monotonic
2024-03-15T04:49:47.816213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83
 
8.2%
2000000 34
 
3.4%
2500000 15
 
1.5%
2200000 12
 
1.2%
2300000 10
 
1.0%
2100000 8
 
0.8%
2400000 8
 
0.8%
1920000 7
 
0.7%
1914440 6
 
0.6%
2700000 6
 
0.6%
Other values (751) 821
81.3%
ValueCountFrequency (%)
0 83
8.2%
330000 1
 
0.1%
400000 1
 
0.1%
500000 1
 
0.1%
540000 1
 
0.1%
600000 1
 
0.1%
700000 1
 
0.1%
717600 1
 
0.1%
800000 4
 
0.4%
897874 1
 
0.1%
ValueCountFrequency (%)
8612000 1
0.1%
5911049 1
0.1%
5903334 1
0.1%
5901210 1
0.1%
5805776 1
0.1%
4898872 1
0.1%
4734733 1
0.1%
4638465 1
0.1%
4609441 1
0.1%
4500000 2
0.2%

유급근로자평균임금
Text

Distinct944
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-15T04:49:49.153390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.9712871
Min length7

Characters and Unicode

Total characters8051
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique906 ?
Unique (%)89.7%

Sample

1st row2051078
2nd row3230839
3rd row2170561
4th row2753771
5th row9080576
ValueCountFrequency (%)
2000000 13
 
1.3%
2500000 6
 
0.6%
div/0 5
 
0.5%
2250000 4
 
0.4%
1920000 4
 
0.4%
2160000 3
 
0.3%
800000 3
 
0.3%
2300000 3
 
0.3%
2600000 3
 
0.3%
2083333 3
 
0.3%
Other values (934) 963
95.3%
2024-03-15T04:49:51.025942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1339
16.6%
1005
12.5%
2 962
11.9%
1 923
11.5%
3 659
8.2%
6 636
7.9%
5 539
6.7%
7 523
 
6.5%
8 500
 
6.2%
4 481
 
6.0%
Other values (7) 484
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7016
87.1%
Space Separator 1005
 
12.5%
Other Punctuation 15
 
0.2%
Uppercase Letter 15
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1339
19.1%
2 962
13.7%
1 923
13.2%
3 659
9.4%
6 636
9.1%
5 539
7.7%
7 523
 
7.5%
8 500
 
7.1%
4 481
 
6.9%
9 454
 
6.5%
Other Punctuation
ValueCountFrequency (%)
! 5
33.3%
# 5
33.3%
/ 5
33.3%
Uppercase Letter
ValueCountFrequency (%)
V 5
33.3%
I 5
33.3%
D 5
33.3%
Space Separator
ValueCountFrequency (%)
1005
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8036
99.8%
Latin 15
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1339
16.7%
1005
12.5%
2 962
12.0%
1 923
11.5%
3 659
8.2%
6 636
7.9%
5 539
6.7%
7 523
 
6.5%
8 500
 
6.2%
4 481
 
6.0%
Other values (4) 469
 
5.8%
Latin
ValueCountFrequency (%)
V 5
33.3%
I 5
33.3%
D 5
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1339
16.6%
1005
12.5%
2 962
11.9%
1 923
11.5%
3 659
8.2%
6 636
7.9%
5 539
6.7%
7 523
 
6.5%
8 500
 
6.2%
4 481
 
6.0%
Other values (7) 484
 
6.0%

취약계층평균근로시간
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.838614
Minimum0
Maximum45
Zeros60
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:51.432265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median34
Q340
95-th percentile40
Maximum45
Range45
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.868467
Coefficient of variation (CV)0.35243047
Kurtosis1.4305912
Mean30.838614
Median Absolute Deviation (MAD)6
Skewness-1.3771609
Sum31147
Variance118.12358
MonotonicityNot monotonic
2024-03-15T04:49:51.849514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
40 348
34.5%
0 60
 
5.9%
30 41
 
4.1%
35 38
 
3.8%
33 36
 
3.6%
28 36
 
3.6%
23 32
 
3.2%
37 31
 
3.1%
27 31
 
3.1%
20 31
 
3.1%
Other values (26) 326
32.3%
ValueCountFrequency (%)
0 60
5.9%
8 1
 
0.1%
9 4
 
0.4%
10 2
 
0.2%
12 2
 
0.2%
13 2
 
0.2%
14 3
 
0.3%
15 13
 
1.3%
16 12
 
1.2%
17 1
 
0.1%
ValueCountFrequency (%)
45 3
 
0.3%
43 1
 
0.1%
42 1
 
0.1%
40 348
34.5%
39 21
 
2.1%
38 30
 
3.0%
37 31
 
3.1%
36 29
 
2.9%
35 38
 
3.8%
34 22
 
2.2%

비취약계층평균근로시간
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.360396
Minimum0
Maximum49
Zeros83
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-15T04:49:52.302467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132
median40
Q340
95-th percentile40
Maximum49
Range49
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.554191
Coefficient of variation (CV)0.34634453
Kurtosis3.0555804
Mean33.360396
Median Absolute Deviation (MAD)0
Skewness-2.0290329
Sum33694
Variance133.49932
MonotonicityNot monotonic
2024-03-15T04:49:52.661514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
40 513
50.8%
0 83
 
8.2%
38 43
 
4.3%
35 39
 
3.9%
37 32
 
3.2%
39 30
 
3.0%
34 30
 
3.0%
36 27
 
2.7%
30 27
 
2.7%
28 26
 
2.6%
Other values (28) 160
 
15.8%
ValueCountFrequency (%)
0 83
8.2%
4 1
 
0.1%
8 1
 
0.1%
10 2
 
0.2%
12 1
 
0.1%
14 1
 
0.1%
15 6
 
0.6%
16 4
 
0.4%
17 3
 
0.3%
18 5
 
0.5%
ValueCountFrequency (%)
49 1
 
0.1%
47 1
 
0.1%
44 2
 
0.2%
43 1
 
0.1%
42 2
 
0.2%
41 3
 
0.3%
40 513
50.8%
39 30
 
3.0%
38 43
 
4.3%
37 32
 
3.2%

유급근로자평균근로시간
Categorical

Distinct33
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
40
303 
38
66 
37
61 
33
49 
36
 
48
Other values (28)
483 

Length

Max length7
Median length3
Mean length3.0178218
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row32
2nd row40
3rd row35
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 303
30.0%
38 66
 
6.5%
37 61
 
6.0%
33 49
 
4.9%
36 48
 
4.8%
35 46
 
4.6%
34 42
 
4.2%
28 41
 
4.1%
39 41
 
4.1%
32 40
 
4.0%
Other values (23) 273
27.0%

Length

2024-03-15T04:49:53.071948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
40 303
30.0%
38 66
 
6.5%
37 61
 
6.0%
33 49
 
4.9%
36 48
 
4.8%
35 46
 
4.6%
34 42
 
4.2%
28 41
 
4.1%
39 41
 
4.1%
32 40
 
4.0%
Other values (23) 273
27.0%

Sample

인증번호기업명대표자명소재지주업종부업종주업태부업태주종목부종목인증유형설립연도이사회_연간개최회수기타_연간개최회수취약계층근로자총인원비취약계층근로자총인원유급근로자총인원취약계층평균임금비취약계층평균임금유급근로자평균임금취약계층평균근로시간비취약계층평균근로시간유급근로자평균근로시간
0제2007-002호(재)아름다운가게박진원서울특별시 중구 소공로 34 (회현동2가)도매 및 소매업(G)<NA>도소매도소매재활용품재활용품제조업기타(창의ㆍ혁신)형200261115481596236080719770272051078373132
1제2007-016호(주)미래이앤티정남규충청북도 청주시 청원구 오창읍 신평중신길 85하수, 폐기물처리, 원료재생 및 환경복원업(E)제조업(C)도.소매제조업폐플라스틱,고철,비철폐플라스틱등 재생재료가공기타(창의ㆍ혁신)형20072081624286365534144303230839404040
2제2007-022호사회복지법인 손과손 핸인핸부평장영순인천광역시 부평구 동수로 87 부평동 E동제조업(C)<NA>제조업소매업카트리지전산소모품일자리제공형19994414721143163436484162170561324035
3제2007-033호주식회사 컴윈정연철경기도 화성시 팔탄면 온천로 122-9하수, 폐기물처리, 원료재생 및 환경복원업(E)<NA>제조<NA><NA><NA>일자리제공형200340151530258731729202262753771404040
4제2007-035호㈜늘푸른자원김진수경상남도 창원시 의창구 북면 백월로74번기곡길 9하수, 폐기물처리, 원료재생 및 환경복원업(E)제조업(C)도소매제조전자제품재활용품컴퓨터재활용품기타(창의ㆍ혁신)형2007208614943200786120009080576404040
5제2007-038호사회적협동조합자바르떼김은영서울특별시 은평구 통일로 684, 1동 5층 502호(녹번동, 미래청)예술, 스포츠 및 여가관련 서비스업(R)<NA>예술관련서비스업전문 과학및 기술서비스업지역문화정책 연구사업행사기획기타(창의ㆍ혁신)형200461112120000019200001560000214031
6제2007-043호(주)푸른환경코리아정희석, 공은미서울특별시 금천구 시흥대로 368 , 601호(독산동,용구빌딩)도매 및 소매업(G)사업시설관리 및 사업지원 서비스업(N)사업시설관리및사업지원서비스업부동산업위생,경비주택관리업일자리제공형199940581876231284327807532423664353836
7제2007-052호사단법인한누리나정승광주광역시 북구 비엔날레로 141 304호(용봉동)교육 서비스업(P)<NA>서비스서비스교육복지,체험복지로봇과학,드론,놀이활동,원예활동,진로교육,트리즈혼합형200825213150601438876372299888274031
8제2008-004호안성의료복지사회적협동조합박중기경기도 안성시 중앙로371번길 13(석정동)-경기도 안성시 중앙로371번길 13(석정동)보건업 및 사회복지 서비스업(Q)<NA>보건, 의료<NA><NA><NA>사회서비스제공형19941207076146168460932562042502700203729
9제2008-013호(주)화진산업이현진대구광역시 동구 안심로 65길 13 각산동제조업(C)<NA>제조업도매 및 소매업장갑, 반코팅장갑사무용기기,컴퓨터,복합기,의료용기기일자리제공형19812014216171356022707851783213333333
인증번호기업명대표자명소재지주업종부업종주업태부업태주종목부종목인증유형설립연도이사회_연간개최회수기타_연간개최회수취약계층근로자총인원비취약계층근로자총인원유급근로자총인원취약계층평균임금비취약계층평균임금유급근로자평균임금취약계층평균근로시간비취약계층평균근로시간유급근로자평균근로시간
1000제주특별자치도 제2020-007호폴개협동조합장기철제주특별자치도 서귀포시 남원읍 원님서로326번길 38-51 폴개 협동조합도매 및 소매업(G)예술, 스포츠 및 여가관련 서비스업(R)도소매서비스농수산물체험프로그램지역사회공헌형20165012214200000022750002039286404040
1001제주특별자치도 제2020-010호주식회사디자인신우김병수제주특별자치도 제주시 연미길 82 0제조업(C)전문, 과학 및 기술 서비스업(M)제조업서비스인쇄업기타광고물일자리제공형202040336156666728333332200000234032
1002제주특별자치도 제2021-002호꽃마리 협동조합이소진제주특별자치도 제주시 연신로 160(영평동)제조업(C)<NA>제조교육서비스세제및 화장품제조체험및 환경교육일자리제공형201722224202944021744402101940404040
1003제주특별자치도 제2021-007호사단법인 제주빌레앙상블김남훈제주특별자치도 제주시 중앙로 491 , 지하층(아라이동)예술, 스포츠 및 여가관련 서비스업(R)<NA>예술관련 서비스업<NA>음악공연 및 기획<NA>일자리제공형201610145200000023000002240000404040
1004제주특별자치도 제2021-008호주식회사 하나하우징정영수제주특별자치도 제주시 한라대학로 91 , 2층(노형동)건설업(F)도매 및 소매업(G)실내건축공사업도소매실내건축공사업건축자재일자리제공형201820527332000032500003300000404040
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1006제주특별자치도 제2021-010호사단법인고향의봄김형신제주특별자치도 제주시 신성로 14-1 , 1층(도남동)숙박 및 음식점업(I)<NA>숙박 및 음식업<NA>양식 음식점<NA>일자리제공형201840415110000020000001280000234026
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