Overview

Dataset statistics

Number of variables21
Number of observations30
Missing cells230
Missing cells (%)36.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory180.4 B

Variable types

Text9
Numeric4
DateTime4
Unsupported4

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://bigdata-region.kr/#/dataset/65c69890-ca82-428a-aa18-96c4c7bcb03e

Alerts

표준산업분류코드 has 2 (6.7%) missing valuesMissing
인증분야명 has 20 (66.7%) missing valuesMissing
홈페이지URL has 7 (23.3%) missing valuesMissing
종업원평균근속기간내용 has 26 (86.7%) missing valuesMissing
기업거래소상장일자 has 27 (90.0%) missing valuesMissing
기업거래소상장폐지일자 has 30 (100.0%) missing valuesMissing
기업코스닥상장일자 has 28 (93.3%) missing valuesMissing
기업코스닥상장폐지일자 has 30 (100.0%) missing valuesMissing
기업KONEX상장일자 has 30 (100.0%) missing valuesMissing
기업KONEX상장폐지일자 has 30 (100.0%) missing valuesMissing
기업명 has unique valuesUnique
법인영문명 has unique valuesUnique
기업설립일자 has unique valuesUnique
기업설명 has unique valuesUnique
참고URL has unique valuesUnique
기업거래소상장폐지일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기업코스닥상장폐지일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기업KONEX상장일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기업KONEX상장폐지일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종업원수 has 25 (83.3%) zerosZeros
기업1인평균급여금액 has 25 (83.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:02:50.207144
Analysis finished2023-12-10 14:02:50.791747
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:50.944483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10.5
Mean length7.8333333
Min length5

Characters and Unicode

Total characters235
Distinct characters88
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(유)컨버스코리아
2nd row(유)한국타코닉
3rd row(의)엔티엘의료재단
4th row(의)혜원의료재단
5th row(주)21세기
ValueCountFrequency (%)
유)컨버스코리아 1
 
3.3%
유)한국타코닉 1
 
3.3%
주)글로우원 1
 
3.3%
주)글로벌스탠다드테크놀로지 1
 
3.3%
주)그린파워 1
 
3.3%
주)그린케미칼 1
 
3.3%
주)그린아이티코리아 1
 
3.3%
주)규람타워렌탈 1
 
3.3%
주)굿스틸 1
 
3.3%
주)광산기공 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:02:51.383891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 30
 
12.8%
) 30
 
12.8%
주 26
 
11.1%
스 6
 
2.6%
경 5
 
2.1%
로 4
 
1.7%
린 4
 
1.7%
그 4
 
1.7%
의 4
 
1.7%
가 4
 
1.7%
Other values (78) 118
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
72.3%
Open Punctuation 30
 
12.8%
Close Punctuation 30
 
12.8%
Uppercase Letter 3
 
1.3%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
15.3%
스 6
 
3.5%
경 5
 
2.9%
로 4
 
2.4%
린 4
 
2.4%
그 4
 
2.4%
의 4
 
2.4%
가 4
 
2.4%
아 4
 
2.4%
리 4
 
2.4%
Other values (71) 105
61.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
R 1
33.3%
C 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170
72.3%
Common 62
 
26.4%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
15.3%
스 6
 
3.5%
경 5
 
2.9%
로 4
 
2.4%
린 4
 
2.4%
그 4
 
2.4%
의 4
 
2.4%
가 4
 
2.4%
아 4
 
2.4%
리 4
 
2.4%
Other values (71) 105
61.8%
Common
ValueCountFrequency (%)
( 30
48.4%
) 30
48.4%
2 1
 
1.6%
1 1
 
1.6%
Latin
ValueCountFrequency (%)
S 1
33.3%
R 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
72.3%
ASCII 65
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 30
46.2%
) 30
46.2%
2 1
 
1.5%
1 1
 
1.5%
S 1
 
1.5%
R 1
 
1.5%
C 1
 
1.5%
Hangul
ValueCountFrequency (%)
주 26
 
15.3%
스 6
 
3.5%
경 5
 
2.9%
로 4
 
2.4%
린 4
 
2.4%
그 4
 
2.4%
의 4
 
2.4%
가 4
 
2.4%
아 4
 
2.4%
리 4
 
2.4%
Other values (71) 105
61.8%

법인영문명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:51.670363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length17.966667
Min length3

Characters and Unicode

Total characters539
Distinct characters52
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowConverse Korea LLC
2nd rowKorea Taconic
3rd rowNTL MEDICAL FOUNDATION
4th rowHYEWON MEDICAL CORPORATION
5th row21CENTURY CO.;LTD
ValueCountFrequency (%)
co.;ltd 8
 
11.1%
ltd 4
 
5.6%
korea 4
 
5.6%
co 4
 
5.6%
corporation 3
 
4.2%
green 3
 
4.2%
medical 2
 
2.8%
machinery 1
 
1.4%
paper 1
 
1.4%
mfg 1
 
1.4%
Other values (41) 41
56.9%
2023-12-10T23:02:52.106013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
7.8%
C 33
 
6.1%
o 28
 
5.2%
O 28
 
5.2%
. 27
 
5.0%
N 26
 
4.8%
G 23
 
4.3%
L 23
 
4.3%
e 21
 
3.9%
T 20
 
3.7%
Other values (42) 268
49.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 283
52.5%
Lowercase Letter 167
31.0%
Other Punctuation 45
 
8.3%
Space Separator 42
 
7.8%
Decimal Number 2
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 33
11.7%
O 28
9.9%
N 26
 
9.2%
G 23
 
8.1%
L 23
 
8.1%
T 20
 
7.1%
I 17
 
6.0%
E 16
 
5.7%
A 15
 
5.3%
D 14
 
4.9%
Other values (13) 68
24.0%
Lowercase Letter
ValueCountFrequency (%)
o 28
16.8%
e 21
12.6%
n 17
10.2%
r 13
 
7.8%
a 12
 
7.2%
t 10
 
6.0%
d 9
 
5.4%
c 8
 
4.8%
s 7
 
4.2%
l 7
 
4.2%
Other values (12) 35
21.0%
Other Punctuation
ValueCountFrequency (%)
. 27
60.0%
; 15
33.3%
' 2
 
4.4%
& 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 450
83.5%
Common 89
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 33
 
7.3%
o 28
 
6.2%
O 28
 
6.2%
N 26
 
5.8%
G 23
 
5.1%
L 23
 
5.1%
e 21
 
4.7%
T 20
 
4.4%
n 17
 
3.8%
I 17
 
3.8%
Other values (35) 214
47.6%
Common
ValueCountFrequency (%)
42
47.2%
. 27
30.3%
; 15
 
16.9%
' 2
 
2.2%
& 1
 
1.1%
1 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
 
7.8%
C 33
 
6.1%
o 28
 
5.2%
O 28
 
5.2%
. 27
 
5.0%
N 26
 
4.8%
G 23
 
4.3%
L 23
 
4.3%
e 21
 
3.9%
T 20
 
3.7%
Other values (42) 268
49.7%

사업자등록번호
Text

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:52.348234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)60.0%

Sample

1st row220-***-****
2nd row129-***-****
3rd row142-***-****
4th row130-***-****
5th row124-***-****
ValueCountFrequency (%)
130 2
 
6.7%
214 2
 
6.7%
125 2
 
6.7%
129 2
 
6.7%
124 2
 
6.7%
137 2
 
6.7%
134 1
 
3.3%
220 1
 
3.3%
135 1
 
3.3%
609 1
 
3.3%
Other values (14) 14
46.7%
2023-12-10T23:02:52.771187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 27
 
7.5%
2 21
 
5.8%
3 10
 
2.8%
0 8
 
2.2%
4 8
 
2.2%
9 5
 
1.4%
7 4
 
1.1%
5 3
 
0.8%
Other values (2) 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 210
58.3%
Decimal Number 90
25.0%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
30.0%
2 21
23.3%
3 10
 
11.1%
0 8
 
8.9%
4 8
 
8.9%
9 5
 
5.6%
7 4
 
4.4%
5 3
 
3.3%
8 2
 
2.2%
6 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 210
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 27
 
7.5%
2 21
 
5.8%
3 10
 
2.8%
0 8
 
2.2%
4 8
 
2.2%
9 5
 
1.4%
7 4
 
1.1%
5 3
 
0.8%
Other values (2) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 27
 
7.5%
2 21
 
5.8%
3 10
 
2.8%
0 8
 
2.2%
4 8
 
2.2%
9 5
 
1.4%
7 4
 
1.1%
5 3
 
0.8%
Other values (2) 4
 
1.1%

표준산업분류코드
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)92.9%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean20626.393
Minimum30
Maximum58221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:02:52.961039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile42
Q12834.25
median23294.5
Q328695.5
95-th percentile50640.45
Maximum58221
Range58191
Interquartile range (IQR)25861.25

Descriptive statistics

Standard deviation15987.682
Coefficient of variation (CV)0.77510801
Kurtosis-0.024467873
Mean20626.393
Median Absolute Deviation (MAD)6539
Skewness0.47172453
Sum577539
Variance2.5560599 × 108
MonotonicityNot monotonic
2023-12-10T23:02:53.134370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
22299 2
 
6.7%
42 2
 
6.7%
10712 1
 
3.3%
10791 1
 
3.3%
22212 1
 
3.3%
2842 1
 
3.3%
29271 1
 
3.3%
2811 1
 
3.3%
26421 1
 
3.3%
763 1
 
3.3%
Other values (16) 16
53.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
30 1
3.3%
42 2
6.7%
763 1
3.3%
2032 1
3.3%
2042 1
3.3%
2811 1
3.3%
2842 1
3.3%
10712 1
3.3%
10791 1
3.3%
17123 1
3.3%
ValueCountFrequency (%)
58221 1
3.3%
52913 1
3.3%
46420 1
3.3%
30201 1
3.3%
29271 1
3.3%
29242 1
3.3%
29222 1
3.3%
28520 1
3.3%
28123 1
3.3%
26421 1
3.3%

기업설립일자
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19984657
Minimum19570712
Maximum20180509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:02:53.324529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19570712
5-th percentile19754144
Q119945584
median20010810
Q320060626
95-th percentile20140479
Maximum20180509
Range609797
Interquartile range (IQR)115042.25

Descriptive statistics

Standard deviation140113.58
Coefficient of variation (CV)0.0070110575
Kurtosis1.3341349
Mean19984657
Median Absolute Deviation (MAD)60353.5
Skewness-1.1538551
Sum5.995397 × 108
Variance1.9631815 × 1010
MonotonicityNot monotonic
2023-12-10T23:02:53.499068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20140304 1
 
3.3%
20040202 1
 
3.3%
20140623 1
 
3.3%
20100908 1
 
3.3%
20011012 1
 
3.3%
19981101 1
 
3.3%
20050311 1
 
3.3%
20180509 1
 
3.3%
20140116 1
 
3.3%
20060801 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
19570712 1
3.3%
19740918 1
3.3%
19770308 1
3.3%
19781113 1
3.3%
19811001 1
3.3%
19830608 1
3.3%
19910311 1
3.3%
19940712 1
3.3%
19960201 1
3.3%
19981101 1
3.3%
ValueCountFrequency (%)
20180509 1
3.3%
20140623 1
3.3%
20140304 1
3.3%
20140116 1
3.3%
20120806 1
3.3%
20120424 1
3.3%
20100908 1
3.3%
20060801 1
3.3%
20060103 1
3.3%
20051220 1
3.3%

기업설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:53.936229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length27.233333
Min length16

Characters and Unicode

Total characters817
Distinct characters250
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row다양한 라이프스타일 포트폴리오를 제공하는 기업
2nd rowRF & MICROWAVE에 대한 세계 최고의 솔루션 제공 업체
3rd row건강한 미래를 창조하는 여성암 전문인들이 모인곳; 엔티엘의료재단
4th row아시아 최고의 심뇌혈관센터를 꿈꾸다.
5th row변화를 즐기며 미래를 주도하는 공구 부품 제작 기업
ValueCountFrequency (%)
기업 11
 
5.5%
및 6
 
3.0%
있는 3
 
1.5%
제조 3
 
1.5%
친환경 3
 
1.5%
전문 3
 
1.5%
국내 3
 
1.5%
미래를 2
 
1.0%
제공 2
 
1.0%
업계의 2
 
1.0%
Other values (157) 162
81.0%
2023-12-10T23:02:54.491968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
 
21.1%
업 26
 
3.2%
기 25
 
3.1%
는 16
 
2.0%
하 15
 
1.8%
한 13
 
1.6%
전 12
 
1.5%
의 11
 
1.3%
을 11
 
1.3%
; 10
 
1.2%
Other values (240) 506
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
72.7%
Space Separator 172
 
21.1%
Uppercase Letter 21
 
2.6%
Other Punctuation 15
 
1.8%
Lowercase Letter 11
 
1.3%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 26
 
4.4%
기 25
 
4.2%
는 16
 
2.7%
하 15
 
2.5%
한 13
 
2.2%
전 12
 
2.0%
의 11
 
1.9%
을 11
 
1.9%
스 9
 
1.5%
제 9
 
1.5%
Other values (207) 447
75.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
 
9.5%
O 2
 
9.5%
R 2
 
9.5%
V 2
 
9.5%
E 2
 
9.5%
F 1
 
4.8%
M 1
 
4.8%
I 1
 
4.8%
C 1
 
4.8%
W 1
 
4.8%
Other values (6) 6
28.6%
Lowercase Letter
ValueCountFrequency (%)
u 2
18.2%
o 2
18.2%
r 1
9.1%
g 1
9.1%
n 1
9.1%
i 1
9.1%
c 1
9.1%
s 1
9.1%
t 1
9.1%
Other Punctuation
ValueCountFrequency (%)
; 10
66.7%
. 3
 
20.0%
& 1
 
6.7%
! 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
0 1
25.0%
Space Separator
ValueCountFrequency (%)
172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
72.7%
Common 191
 
23.4%
Latin 32
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 26
 
4.4%
기 25
 
4.2%
는 16
 
2.7%
하 15
 
2.5%
한 13
 
2.2%
전 12
 
2.0%
의 11
 
1.9%
을 11
 
1.9%
스 9
 
1.5%
제 9
 
1.5%
Other values (207) 447
75.3%
Latin
ValueCountFrequency (%)
u 2
 
6.2%
o 2
 
6.2%
T 2
 
6.2%
O 2
 
6.2%
R 2
 
6.2%
V 2
 
6.2%
E 2
 
6.2%
F 1
 
3.1%
M 1
 
3.1%
I 1
 
3.1%
Other values (15) 15
46.9%
Common
ValueCountFrequency (%)
172
90.1%
; 10
 
5.2%
. 3
 
1.6%
1 2
 
1.0%
& 1
 
0.5%
! 1
 
0.5%
2 1
 
0.5%
0 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
72.7%
ASCII 223
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
77.1%
; 10
 
4.5%
. 3
 
1.3%
u 2
 
0.9%
1 2
 
0.9%
o 2
 
0.9%
T 2
 
0.9%
O 2
 
0.9%
R 2
 
0.9%
V 2
 
0.9%
Other values (23) 24
 
10.8%
Hangul
ValueCountFrequency (%)
업 26
 
4.4%
기 25
 
4.2%
는 16
 
2.7%
하 15
 
2.5%
한 13
 
2.2%
전 12
 
2.0%
의 11
 
1.9%
을 11
 
1.9%
스 9
 
1.5%
제 9
 
1.5%
Other values (207) 447
75.3%

인증분야명
Text

MISSING 

Distinct7
Distinct (%)70.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2023-12-10T23:02:54.824520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length9.6
Min length6

Characters and Unicode

Total characters96
Distinct characters28
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

Unique5 ?
Unique (%)50.0%

Sample

1st row유망중소기업
2nd row유망중소기업|청년친화강소기업
3rd row면접수당지급인증기업
4th row여성고용우수기업
5th row청년친화강소기업
ValueCountFrequency (%)
유망중소기업 3
30.0%
유망중소기업|청년친화강소기업 2
20.0%
면접수당지급인증기업 1
 
10.0%
여성고용우수기업 1
 
10.0%
청년친화강소기업 1
 
10.0%
일자리우수기업 1
 
10.0%
유망중소기업|여성고용우수기업 1
 
10.0%
2023-12-10T23:02:55.414823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 13
13.5%
업 13
13.5%
소 9
 
9.4%
유 6
 
6.2%
망 6
 
6.2%
중 6
 
6.2%
수 4
 
4.2%
청 3
 
3.1%
친 3
 
3.1%
화 3
 
3.1%
Other values (18) 30
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
96.9%
Math Symbol 3
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 13
14.0%
업 13
14.0%
소 9
 
9.7%
유 6
 
6.5%
망 6
 
6.5%
중 6
 
6.5%
수 4
 
4.3%
청 3
 
3.2%
친 3
 
3.2%
화 3
 
3.2%
Other values (17) 27
29.0%
Math Symbol
ValueCountFrequency (%)
| 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
96.9%
Common 3
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 13
14.0%
업 13
14.0%
소 9
 
9.7%
유 6
 
6.5%
망 6
 
6.5%
중 6
 
6.5%
수 4
 
4.3%
청 3
 
3.2%
친 3
 
3.2%
화 3
 
3.2%
Other values (17) 27
29.0%
Common
ValueCountFrequency (%)
| 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
96.9%
ASCII 3
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 13
14.0%
업 13
14.0%
소 9
 
9.7%
유 6
 
6.5%
망 6
 
6.5%
중 6
 
6.5%
수 4
 
4.3%
청 3
 
3.2%
친 3
 
3.2%
화 3
 
3.2%
Other values (17) 27
29.0%
ASCII
ValueCountFrequency (%)
| 3
100.0%

홈페이지URL
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing7
Missing (%)23.3%
Memory size372.0 B
2023-12-10T23:02:55.800093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length16.043478
Min length12

Characters and Unicode

Total characters369
Distinct characters29
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttps://www.converse.co.kr
2nd rowwww.taconic.co.kr
3rd rowwww.21t.co.kr
4th rowwww.src3.com
5th rowwww.linger.co.kr
ValueCountFrequency (%)
https://www.converse.co.kr 1
 
4.3%
goldvan.co.kr 1
 
4.3%
www.kyungshin.co.kr 1
 
4.3%
www.glowone.com 1
 
4.3%
www.gst-in.com 1
 
4.3%
www.gcspla.co.kr 1
 
4.3%
www.greenitkr.com 1
 
4.3%
www.gyooramtower.co.kr 1
 
4.3%
www.goodsteel.net 1
 
4.3%
www.mmco.co.kr 1
 
4.3%
Other values (13) 13
56.5%
2023-12-10T23:02:56.322393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 62
16.8%
. 57
15.4%
o 36
9.8%
c 34
9.2%
k 21
 
5.7%
r 21
 
5.7%
n 19
 
5.1%
e 16
 
4.3%
g 14
 
3.8%
t 13
 
3.5%
Other values (19) 76
20.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 303
82.1%
Other Punctuation 61
 
16.5%
Decimal Number 3
 
0.8%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 62
20.5%
o 36
11.9%
c 34
11.2%
k 21
 
6.9%
r 21
 
6.9%
n 19
 
6.3%
e 16
 
5.3%
g 14
 
4.6%
t 13
 
4.3%
m 11
 
3.6%
Other values (12) 56
18.5%
Other Punctuation
ValueCountFrequency (%)
. 57
93.4%
/ 3
 
4.9%
: 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
2 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 303
82.1%
Common 66
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 62
20.5%
o 36
11.9%
c 34
11.2%
k 21
 
6.9%
r 21
 
6.9%
n 19
 
6.3%
e 16
 
5.3%
g 14
 
4.6%
t 13
 
4.3%
m 11
 
3.6%
Other values (12) 56
18.5%
Common
ValueCountFrequency (%)
. 57
86.4%
/ 3
 
4.5%
- 2
 
3.0%
1 1
 
1.5%
3 1
 
1.5%
2 1
 
1.5%
: 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 62
16.8%
. 57
15.4%
o 36
9.8%
c 34
9.2%
k 21
 
5.7%
r 21
 
5.7%
n 19
 
5.1%
e 16
 
4.3%
g 14
 
3.8%
t 13
 
3.5%
Other values (19) 76
20.6%

참고URL
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:56.757777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length59
Mean length59
Min length59

Characters and Unicode

Total characters1770
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=2208874818
2nd rowhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1298118606
3rd rowhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1428203200
4th rowhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1308201679
5th rowhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1248164712
ValueCountFrequency (%)
https://www.jobaba.net/empmn/desentdtl.do?bizrno=2208874818 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1298118606 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1298650917 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1258139609 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=6098134776 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1268185182 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1328612506 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1238195513 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1078680804 1
 
3.3%
https://www.jobaba.net/empmn/desentdtl.do?bizrno=1198115960 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:02:57.374812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 150
 
8.5%
n 120
 
6.8%
/ 120
 
6.8%
w 90
 
5.1%
e 90
 
5.1%
. 90
 
5.1%
b 90
 
5.1%
o 90
 
5.1%
1 65
 
3.7%
a 60
 
3.4%
Other values (24) 805
45.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1110
62.7%
Decimal Number 300
 
16.9%
Other Punctuation 270
 
15.3%
Uppercase Letter 60
 
3.4%
Math Symbol 30
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 150
13.5%
n 120
10.8%
w 90
 
8.1%
e 90
 
8.1%
b 90
 
8.1%
o 90
 
8.1%
a 60
 
5.4%
s 60
 
5.4%
p 60
 
5.4%
m 60
 
5.4%
Other values (7) 240
21.6%
Decimal Number
ValueCountFrequency (%)
1 65
21.7%
8 48
16.0%
2 37
12.3%
0 32
10.7%
4 24
 
8.0%
3 24
 
8.0%
7 19
 
6.3%
9 19
 
6.3%
6 18
 
6.0%
5 14
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 120
44.4%
. 90
33.3%
? 30
 
11.1%
: 30
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
D 30
50.0%
E 30
50.0%
Math Symbol
ValueCountFrequency (%)
= 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1170
66.1%
Common 600
33.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 150
12.8%
n 120
 
10.3%
w 90
 
7.7%
e 90
 
7.7%
b 90
 
7.7%
o 90
 
7.7%
a 60
 
5.1%
s 60
 
5.1%
p 60
 
5.1%
m 60
 
5.1%
Other values (9) 300
25.6%
Common
ValueCountFrequency (%)
/ 120
20.0%
. 90
15.0%
1 65
10.8%
8 48
 
8.0%
2 37
 
6.2%
0 32
 
5.3%
= 30
 
5.0%
? 30
 
5.0%
: 30
 
5.0%
4 24
 
4.0%
Other values (5) 94
15.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 150
 
8.5%
n 120
 
6.8%
/ 120
 
6.8%
w 90
 
5.1%
e 90
 
5.1%
. 90
 
5.1%
b 90
 
5.1%
o 90
 
5.1%
1 65
 
3.7%
a 60
 
3.4%
Other values (24) 805
45.5%

지역명
Text

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:02:57.650656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9
Min length2

Characters and Unicode

Total characters87
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)33.3%

Sample

1st row서울
2nd row부천시
3rd row용인시
4th row부천시
5th row화성시
ValueCountFrequency (%)
화성시 7
23.3%
성남시 5
16.7%
서울 2
 
6.7%
부천시 2
 
6.7%
인천 2
 
6.7%
시흥시 2
 
6.7%
용인시 1
 
3.3%
고양시 1
 
3.3%
김포시 1
 
3.3%
평택시 1
 
3.3%
Other values (6) 6
20.0%
2023-12-10T23:02:58.128515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 28
32.2%
성 12
13.8%
화 7
 
8.0%
천 6
 
6.9%
남 6
 
6.9%
양 3
 
3.4%
인 3
 
3.4%
부 2
 
2.3%
흥 2
 
2.3%
울 2
 
2.3%
Other values (13) 16
18.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 28
32.2%
성 12
13.8%
화 7
 
8.0%
천 6
 
6.9%
남 6
 
6.9%
양 3
 
3.4%
인 3
 
3.4%
부 2
 
2.3%
흥 2
 
2.3%
울 2
 
2.3%
Other values (13) 16
18.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 28
32.2%
성 12
13.8%
화 7
 
8.0%
천 6
 
6.9%
남 6
 
6.9%
양 3
 
3.4%
인 3
 
3.4%
부 2
 
2.3%
흥 2
 
2.3%
울 2
 
2.3%
Other values (13) 16
18.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 28
32.2%
성 12
13.8%
화 7
 
8.0%
천 6
 
6.9%
남 6
 
6.9%
양 3
 
3.4%
인 3
 
3.4%
부 2
 
2.3%
흥 2
 
2.3%
울 2
 
2.3%
Other values (13) 16
18.4%

종업원수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.566667
Minimum0
Maximum1377
Zeros25
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:02:58.338296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile526.6
Maximum1377
Range1377
Interquartile range (IQR)0

Descriptive statistics

Standard deviation282.73659
Coefficient of variation (CV)2.897881
Kurtosis15.166794
Mean97.566667
Median Absolute Deviation (MAD)0
Skewness3.721701
Sum2927
Variance79939.978
MonotonicityNot monotonic
2023-12-10T23:02:58.573432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
83.3%
298 1
 
3.3%
366 1
 
3.3%
1377 1
 
3.3%
228 1
 
3.3%
658 1
 
3.3%
ValueCountFrequency (%)
0 25
83.3%
228 1
 
3.3%
298 1
 
3.3%
366 1
 
3.3%
658 1
 
3.3%
1377 1
 
3.3%
ValueCountFrequency (%)
1377 1
 
3.3%
658 1
 
3.3%
366 1
 
3.3%
298 1
 
3.3%
228 1
 
3.3%
0 25
83.3%

종업원평균근속기간내용
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2023-12-10T23:02:58.826716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.75
Min length4

Characters and Unicode

Total characters19
Distinct characters13
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

Unique4 ?
Unique (%)100.0%

Sample

1st row6.88
2nd row10.4
3rd row7.24
4th row3년 11개월
ValueCountFrequency (%)
6.88 1
20.0%
10.4 1
20.0%
7.24 1
20.0%
3년 1
20.0%
11개월 1
20.0%
2023-12-10T23:02:59.325259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3
15.8%
1 3
15.8%
8 2
10.5%
4 2
10.5%
6 1
 
5.3%
0 1
 
5.3%
7 1
 
5.3%
2 1
 
5.3%
3 1
 
5.3%
년 1
 
5.3%
Other values (3) 3
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
63.2%
Other Punctuation 3
 
15.8%
Other Letter 3
 
15.8%
Space Separator 1
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
25.0%
8 2
16.7%
4 2
16.7%
6 1
 
8.3%
0 1
 
8.3%
7 1
 
8.3%
2 1
 
8.3%
3 1
 
8.3%
Other Letter
ValueCountFrequency (%)
년 1
33.3%
개 1
33.3%
월 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16
84.2%
Hangul 3
 
15.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3
18.8%
1 3
18.8%
8 2
12.5%
4 2
12.5%
6 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
1
 
6.2%
Hangul
ValueCountFrequency (%)
년 1
33.3%
개 1
33.3%
월 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
84.2%
Hangul 3
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3
18.8%
1 3
18.8%
8 2
12.5%
4 2
12.5%
6 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%
2 1
 
6.2%
3 1
 
6.2%
1
 
6.2%
Hangul
ValueCountFrequency (%)
년 1
33.3%
개 1
33.3%
월 1
33.3%

기업1인평균급여금액
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8069569.3
Minimum0
Maximum57000000
Zeros25
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:02:59.505380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile51855994
Maximum57000000
Range57000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18559555
Coefficient of variation (CV)2.2999436
Kurtosis2.2013088
Mean8069569.3
Median Absolute Deviation (MAD)0
Skewness1.9754769
Sum2.4208708 × 108
Variance3.4445707 × 1014
MonotonicityNot monotonic
2023-12-10T23:02:59.661495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
83.3%
53246080 1
 
3.3%
50157000 1
 
3.3%
57000000 1
 
3.3%
42684000 1
 
3.3%
39000000 1
 
3.3%
ValueCountFrequency (%)
0 25
83.3%
39000000 1
 
3.3%
42684000 1
 
3.3%
50157000 1
 
3.3%
53246080 1
 
3.3%
57000000 1
 
3.3%
ValueCountFrequency (%)
57000000 1
 
3.3%
53246080 1
 
3.3%
50157000 1
 
3.3%
42684000 1
 
3.3%
39000000 1
 
3.3%
0 25
83.3%

기업거래소상장일자
Date

MISSING 

Distinct3
Distinct (%)100.0%
Missing27
Missing (%)90.0%
Memory size372.0 B
Minimum1977-06-30 00:00:00
Maximum1993-08-31 00:00:00
2023-12-10T23:02:59.829636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:03:00.017220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

기업거래소상장폐지일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기업코스닥상장일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
Minimum2001-06-02 00:00:00
Maximum2019-05-10 00:00:00
2023-12-10T23:03:00.172063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:03:00.341460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

기업코스닥상장폐지일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기업KONEX상장일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기업KONEX상장폐지일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

등록일시
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-08-09 18:54:00
Maximum2018-11-29 21:33:00
2023-12-10T23:03:00.554247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:03:00.782997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

데이터기준일자
Date

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-08-09 00:00:00
Maximum2018-11-29 00:00:00
2023-12-10T23:03:00.979614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:03:01.189472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

Sample

기업명법인영문명사업자등록번호표준산업분류코드기업설립일자기업설명인증분야명홈페이지URL참고URL지역명종업원수종업원평균근속기간내용기업1인평균급여금액기업거래소상장일자기업거래소상장폐지일자기업코스닥상장일자기업코스닥상장폐지일자기업KONEX상장일자기업KONEX상장폐지일자등록일시데이터기준일자
0(유)컨버스코리아Converse Korea LLC220-***-****4642020140304다양한 라이프스타일 포트폴리오를 제공하는 기업<NA>https://www.converse.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=2208874818서울0<NA>0<NA><NA><NA><NA><NA><NA>2018-01-30 15:362018-01-30
1(유)한국타코닉Korea Taconic129-***-****2622119960201RF & MICROWAVE에 대한 세계 최고의 솔루션 제공 업체<NA>www.taconic.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1298118606부천시0<NA>0<NA><NA><NA><NA><NA><NA>2018-11-28 17:322018-11-28
2(의)엔티엘의료재단NTL MEDICAL FOUNDATION142-***-****<NA>20120424건강한 미래를 창조하는 여성암 전문인들이 모인곳; 엔티엘의료재단<NA><NA>https://www.jobaba.net/empmn/desEntDtl.do?bizrno=1428203200용인시0<NA>0<NA><NA><NA><NA><NA><NA>2017-08-22 13:042017-08-22
3(의)혜원의료재단HYEWON MEDICAL CORPORATION130-***-****<NA>19811001아시아 최고의 심뇌혈관센터를 꿈꾸다.<NA><NA>https://www.jobaba.net/empmn/desEntDtl.do?bizrno=1308201679부천시0<NA>0<NA><NA><NA><NA><NA><NA>2017-12-28 11:132017-12-28
4(주)21세기21CENTURY CO.;LTD124-***-****2922219990726변화를 즐기며 미래를 주도하는 공구 부품 제작 기업유망중소기업www.21t.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1248164712화성시0<NA>0<NA><NA><NA><NA><NA><NA>2017-08-09 18:572017-08-09
5(주)SRCSRC137-***-****1071220051220믿을 수 있는 식재료; 안심하고 먹을 수 있는 학교급식 전문 기업<NA>www.src3.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1378172071인천0<NA>0<NA><NA><NA><NA><NA><NA>2018-11-28 17:202018-11-28
6(주)가배온ISC.CO.;LTD.124-***-****1079120010608한국식 커피문화를 전파하는 20년 전통의 커피명가<NA>www.linger.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1248185094화성시0<NA>0<NA><NA><NA><NA><NA><NA>2018-01-30 17:592018-01-30
7(주)가비아GABIA;Inc.214-***-****5822119990921대한민국 No.1 도메인; 호스팅; 서버; 클라우드; 쇼핑몰 서비스 제공유망중소기업|청년친화강소기업www.gabia.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=2148639239성남시2986.8853246080<NA><NA>05/10/19<NA><NA><NA>2018-02-13 17:262018-02-13
8(주)가온칩스GAONCHIPS CO.;LTD.144-***-****2611220120806시스템 반도체 설계 개발 전문 기업면접수당지급인증기업www.gaonchips.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1448104023성남시0<NA>0<NA><NA><NA><NA><NA><NA>2018-05-28 12:032018-05-28
9(주)가우리안PS''Tech Corporation128-***-****4220021122아름다운 삶과 쾌적한 환경을 꿈꿉니다.여성고용우수기업www.ps-tech.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1288177349고양시0<NA>0<NA><NA><NA><NA><NA><NA>2017-08-09 18:552017-08-09
기업명법인영문명사업자등록번호표준산업분류코드기업설립일자기업설명인증분야명홈페이지URL참고URL지역명종업원수종업원평균근속기간내용기업1인평균급여금액기업거래소상장일자기업거래소상장폐지일자기업코스닥상장일자기업코스닥상장폐지일자기업KONEX상장일자기업KONEX상장폐지일자등록일시데이터기준일자
20(주)광명전기KWANG MYUNG ELECTRIC CO.;LTD134-***-****2812319830608인류의 풍요로운 삶을 위해 밝은 희망의 빛을 비추는 기업유망중소기업|청년친화강소기업www.kmec.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1348104007안산시228<NA>4268400090/09/14<NA><NA><NA><NA><NA>2018-05-28 12:302018-05-28
21(주)광산기공MINING MACHINERY CO.; LTD.119-***-****2924219940712국내 모래 제조 분야의 선두주자<NA>www.mmco.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1198115960화성시0<NA>0<NA><NA><NA><NA><NA><NA>2018-05-28 12:132018-05-28
22(주)굿스틸Good Steel Co.; Ltd.107-***-****2429020060801친환경 소재인 스테인리스의 가공 및 유통 전문회사<NA>www.goodsteel.nethttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1078680804시흥시0<NA>0<NA><NA><NA><NA><NA><NA>2017-12-26 17:082017-12-26
23(주)규람타워렌탈Gyooram Tower123-***-****76320140116타워크레인 임대 및 관리사업 전문기업<NA>www.gyooramtower.co.kr/https://www.jobaba.net/empmn/desEntDtl.do?bizrno=1238195513안양시0<NA>0<NA><NA><NA><NA><NA><NA>2018-05-28 12:402018-05-28
24(주)그린아이티코리아Green IT Korea Co.; Ltd.132-***-****2642120180509방범방재 기술개발을 주도하고 있는 혁신기업유망중소기업|여성고용우수기업www.greenitkr.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1328612506남양주시0<NA>0<NA><NA><NA><NA><NA><NA>2017-08-09 18:542017-08-09
25(주)그린케미칼Green Chemical Co.;Ltd126-***-****2229920050311친환경 합성수지;생분해성 플라스틱 기능성원단 제조유망중소기업www.gcspla.co.krhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1268185182이천시0<NA>0<NA><NA><NA><NA><NA><NA>2017-08-09 18:562017-08-09
26(주)그린파워GREEN POWER CO.;LTD609-***-****281119981101국내 최초 무선전력전송장치를 개발한 미래지향적 기업<NA><NA>https://www.jobaba.net/empmn/desEntDtl.do?bizrno=6098134776화성시0<NA>0<NA><NA><NA><NA><NA><NA>2017-12-25 12:242017-12-25
27(주)글로벌스탠다드테크놀로지GlobalStandardTechnologyCo.;Ltd.125-***-****2927120011012변화와 혁신을 통하여 첨단 기술기업으로서 사회에 이바지하는 GST<NA>www.gst-in.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1258139609화성시6583년 11개월39000000<NA><NA>06/02/01<NA><NA><NA>2017-08-09 18:542017-08-09
28(주)글로우원GLOWONE129-***-****284220100908친환경 녹색성장을 위한 LED 조명을 생산 및 공급 하는 기업<NA>www.glowone.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1298650917화성시0<NA>0<NA><NA><NA><NA><NA><NA>2018-05-28 12:472018-05-28
29(주)글로제닉Glogenic Inc.127-***-****2221220140623에어캡 및 종합 포장 자체 생산 공장<NA>www.glogenic.comhttps://www.jobaba.net/empmn/desEntDtl.do?bizrno=1278655973포천시0<NA>0<NA><NA><NA><NA><NA><NA>2018-11-29 21:332018-11-29