Overview

Dataset statistics

Number of variables14
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory117.6 B

Variable types

DateTime2
Numeric1
Text2
Categorical9

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/9d60b3b3-a038-4826-b028-ab6ade1c81cf

Alerts

기준년월 has constant value ""Constant
정보기준일자 has constant value ""Constant
메인비즈인증여부 is highly overall correlated with 기업코드 and 2 other fieldsHigh correlation
메인비즈인증만료일자 is highly overall correlated with 이노비즈인증만료일자 and 1 other fieldsHigh correlation
이노비즈인증여부 is highly overall correlated with 기업코드 and 2 other fieldsHigh correlation
이노비즈인증만료일자 is highly overall correlated with 벤처기업인증여부 and 3 other fieldsHigh correlation
기업코드 is highly overall correlated with 벤처기업인증여부 and 2 other fieldsHigh correlation
벤처기업인증여부 is highly overall correlated with 기업코드 and 3 other fieldsHigh correlation
벤처기업인증만료일자 is highly overall correlated with 벤처기업인증여부High correlation
소재부품인증여부 is highly overall correlated with 소재부품인증만료일자High correlation
소재부품인증만료일자 is highly overall correlated with 소재부품인증여부High correlation
메인비즈인증만료일자 is highly imbalanced (52.4%)Imbalance
기업코드 has unique valuesUnique
기업명 has unique valuesUnique
사업자등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:59:33.124104
Analysis finished2023-12-10 13:59:35.602515
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-10T22:59:35.731455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:59:35.890005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

기업코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.06897
Minimum174
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:36.076192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile175.8
Q1185
median193
Q3200
95-th percentile205.6
Maximum207
Range33
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.8195542
Coefficient of variation (CV)0.051125148
Kurtosis-1.0021842
Mean192.06897
Median Absolute Deviation (MAD)8
Skewness-0.27559791
Sum5570
Variance96.423645
MonotonicityStrictly increasing
2023-12-10T22:59:36.295194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
174 1
 
3.4%
175 1
 
3.4%
207 1
 
3.4%
206 1
 
3.4%
205 1
 
3.4%
204 1
 
3.4%
203 1
 
3.4%
202 1
 
3.4%
201 1
 
3.4%
200 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
174 1
3.4%
175 1
3.4%
177 1
3.4%
178 1
3.4%
181 1
3.4%
182 1
3.4%
183 1
3.4%
185 1
3.4%
186 1
3.4%
187 1
3.4%
ValueCountFrequency (%)
207 1
3.4%
206 1
3.4%
205 1
3.4%
204 1
3.4%
203 1
3.4%
202 1
3.4%
201 1
3.4%
200 1
3.4%
199 1
3.4%
198 1
3.4%

기업명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:59:36.621830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.137931
Min length4

Characters and Unicode

Total characters149
Distinct characters69
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

Unique29 ?
Unique (%)100.0%

Sample

1st row가나환경건설
2nd row가나환경개발
3rd row가나드림
4th row가나차이나
5th row가나쵸이스
ValueCountFrequency (%)
가나환경건설 1
 
3.4%
가나장작구이 1
 
3.4%
가나색연필 1
 
3.4%
가나프론티어 1
 
3.4%
가나프런티어 1
 
3.4%
가나커피숍 1
 
3.4%
가나특송 1
 
3.4%
가나클리닉 1
 
3.4%
가나식품유통 1
 
3.4%
가나민속주점 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T22:59:37.739646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 30
20.1%
나 30
20.1%
이 6
 
4.0%
스 3
 
2.0%
어 3
 
2.0%
유 3
 
2.0%
낸 2
 
1.3%
파 2
 
1.3%
클 2
 
1.3%
시 2
 
1.3%
Other values (59) 66
44.3%

사업자등록번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T22:59:38.068366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique29 ?
Unique (%)100.0%

Sample

1st row999-86-99902
2nd row999-86-99903
3rd row999-87-99905
4th row999-87-99906
5th row999-86-99909
ValueCountFrequency (%)
999-86-99902 1
 
3.4%
999-81-99922 1
 
3.4%
999-81-99934 1
 
3.4%
999-81-99933 1
 
3.4%
999-81-99932 1
 
3.4%
999-81-99931 1
 
3.4%
999-81-99930 1
 
3.4%
999-81-99929 1
 
3.4%
999-81-99928 1
 
3.4%
999-81-99927 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T22:59:38.600484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 177
50.9%
- 58
 
16.7%
8 31
 
8.9%
1 29
 
8.3%
2 13
 
3.7%
6 10
 
2.9%
3 10
 
2.9%
0 8
 
2.3%
7 5
 
1.4%
5 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 177
61.0%
8 31
 
10.7%
1 29
 
10.0%
2 13
 
4.5%
6 10
 
3.4%
3 10
 
3.4%
0 8
 
2.8%
7 5
 
1.7%
5 4
 
1.4%
4 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 177
50.9%
- 58
 
16.7%
8 31
 
8.9%
1 29
 
8.3%
2 13
 
3.7%
6 10
 
2.9%
3 10
 
2.9%
0 8
 
2.3%
7 5
 
1.4%
5 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 177
50.9%
- 58
 
16.7%
8 31
 
8.9%
1 29
 
8.3%
2 13
 
3.7%
6 10
 
2.9%
3 10
 
2.9%
0 8
 
2.3%
7 5
 
1.4%
5 4
 
1.1%

벤처기업인증여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
Y
22 
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 22
75.9%
7
 
24.1%

Length

2023-12-10T22:59:38.797192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:38.961279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 22
100.0%

벤처기업인증만료일자
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-08-31
7 
7 
2024-08-10
5 
2023-11-11
3 
2023-07-05
2 
Other values (3)
5 

Length

Max length10
Median length10
Mean length7.8275862
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row2023-08-31
2nd row2023-07-05
3rd row2024-01-31
4th row2024-08-10
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 7
24.1%
7
24.1%
2024-08-10 5
17.2%
2023-11-11 3
10.3%
2023-07-05 2
 
6.9%
2024-01-31 2
 
6.9%
2024-12-31 2
 
6.9%
2024-08-31 1
 
3.4%

Length

2023-12-10T22:59:39.097160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:39.276612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 7
31.8%
2024-08-10 5
22.7%
2023-11-11 3
13.6%
2023-07-05 2
 
9.1%
2024-01-31 2
 
9.1%
2024-12-31 2
 
9.1%
2024-08-31 1
 
4.5%

이노비즈인증여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
16 
Y
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
16
55.2%
Y 13
44.8%

Length

2023-12-10T22:59:39.470549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:39.699567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 13
100.0%

이노비즈인증만료일자
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
16 
2023-08-31
4 
2024-08-10
4 
2023-11-11
2 
2024-12-31
2 

Length

Max length10
Median length1
Mean length5.0344828
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
16
55.2%
2023-08-31 4
 
13.8%
2024-08-10 4
 
13.8%
2023-11-11 2
 
6.9%
2024-12-31 2
 
6.9%
2023-07-05 1
 
3.4%

Length

2023-12-10T22:59:39.893035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:40.105659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 4
30.8%
2024-08-10 4
30.8%
2023-11-11 2
15.4%
2024-12-31 2
15.4%
2023-07-05 1
 
7.7%

메인비즈인증여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
23 
Y
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
23
79.3%
Y 6
 
20.7%

Length

2023-12-10T22:59:40.310056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:40.475884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 6
100.0%

메인비즈인증만료일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
23 
2023-08-31
3 
2023-11-11
 
1
2023-07-05
 
1
2024-12-31
 
1

Length

Max length10
Median length1
Mean length2.862069
Min length1

Unique

Unique3 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
23
79.3%
2023-08-31 3
 
10.3%
2023-11-11 1
 
3.4%
2023-07-05 1
 
3.4%
2024-12-31 1
 
3.4%

Length

2023-12-10T22:59:40.644427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:40.831532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 3
50.0%
2023-11-11 1
 
16.7%
2023-07-05 1
 
16.7%
2024-12-31 1
 
16.7%

소재부품인증여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
25 
Y
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
25
86.2%
Y 4
 
13.8%

Length

2023-12-10T22:59:41.036515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:41.209557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 4
100.0%

소재부품인증만료일자
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
25 
2023-08-31
4 

Length

Max length10
Median length1
Mean length2.2413793
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
25
86.2%
2023-08-31 4
 
13.8%

Length

2023-12-10T22:59:41.388529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:41.539014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 4
100.0%

기업부설연구소인증여부
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
24 
Y
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th rowY
5th row

Common Values

ValueCountFrequency (%)
24
82.8%
Y 5
 
17.2%

Length

2023-12-10T22:59:41.694214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:41.861660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 5
100.0%

정보기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-01-12 00:00:00
Maximum2023-01-12 00:00:00
2023-12-10T22:59:42.014149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:59:42.336007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-10T22:59:34.790565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:59:42.558523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업코드기업명사업자등록번호벤처기업인증여부벤처기업인증만료일자이노비즈인증여부이노비즈인증만료일자메인비즈인증여부메인비즈인증만료일자소재부품인증여부소재부품인증만료일자기업부설연구소인증여부
기업코드1.0001.0001.0001.0000.5720.9910.6210.9790.2880.0000.0000.682
기업명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업자등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
벤처기업인증여부1.0001.0001.0001.0001.0000.7300.9900.0530.0000.0000.0000.000
벤처기업인증만료일자0.5721.0001.0001.0001.0000.7190.4210.0000.1690.0000.0000.000
이노비즈인증여부0.9911.0001.0000.7300.7191.0001.0000.6510.3780.0000.0000.000
이노비즈인증만료일자0.6211.0001.0000.9900.4211.0001.0000.9870.7930.0000.0000.314
메인비즈인증여부0.9791.0001.0000.0530.0000.6510.9871.0001.0000.0000.0000.000
메인비즈인증만료일자0.2881.0001.0000.0000.1690.3780.7931.0001.0000.0000.0000.234
소재부품인증여부0.0001.0001.0000.0000.0000.0000.0000.0000.0001.0000.9720.000
소재부품인증만료일자0.0001.0001.0000.0000.0000.0000.0000.0000.0000.9721.0000.000
기업부설연구소인증여부0.6821.0001.0000.0000.0000.0000.3140.0000.2340.0000.0001.000
2023-12-10T22:59:43.370854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재부품인증여부메인비즈인증여부소재부품인증만료일자벤처기업인증만료일자메인비즈인증만료일자기업부설연구소인증여부벤처기업인증여부이노비즈인증여부이노비즈인증만료일자
소재부품인증여부1.0000.0000.8490.0000.0000.0000.0000.0000.000
메인비즈인증여부0.0001.0000.0000.0000.9430.0000.0000.4500.830
소재부품인증만료일자0.8490.0001.0000.0000.0000.0000.0000.0000.000
벤처기업인증만료일자0.0000.0000.0001.0000.0000.0000.8820.4790.217
메인비즈인증만료일자0.0000.9430.0000.0001.0000.2610.0000.4300.662
기업부설연구소인증여부0.0000.0000.0000.0000.2611.0000.0000.0000.193
벤처기업인증여부0.0000.0000.0000.8820.0000.0001.0000.5200.840
이노비즈인증여부0.0000.4500.0000.4790.4300.0000.5201.0000.923
이노비즈인증만료일자0.0000.8300.0000.2170.6620.1930.8400.9231.000
2023-12-10T22:59:43.841680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기업코드벤처기업인증여부벤처기업인증만료일자이노비즈인증여부이노비즈인증만료일자메인비즈인증여부메인비즈인증만료일자소재부품인증여부소재부품인증만료일자기업부설연구소인증여부
기업코드1.0000.8390.2430.7720.3530.7350.1120.0000.0000.450
벤처기업인증여부0.8391.0000.8820.5200.8400.0000.0000.0000.0000.000
벤처기업인증만료일자0.2430.8821.0000.4790.2170.0000.0000.0000.0000.000
이노비즈인증여부0.7720.5200.4791.0000.9230.4500.4300.0000.0000.000
이노비즈인증만료일자0.3530.8400.2170.9231.0000.8300.6620.0000.0000.193
메인비즈인증여부0.7350.0000.0000.4500.8301.0000.9430.0000.0000.000
메인비즈인증만료일자0.1120.0000.0000.4300.6620.9431.0000.0000.0000.261
소재부품인증여부0.0000.0000.0000.0000.0000.0000.0001.0000.8490.000
소재부품인증만료일자0.0000.0000.0000.0000.0000.0000.0000.8491.0000.000
기업부설연구소인증여부0.4500.0000.0000.0000.1930.0000.2610.0000.0001.000

Missing values

2023-12-10T22:59:35.016248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:59:35.460232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준년월기업코드기업명사업자등록번호벤처기업인증여부벤처기업인증만료일자이노비즈인증여부이노비즈인증만료일자메인비즈인증여부메인비즈인증만료일자소재부품인증여부소재부품인증만료일자기업부설연구소인증여부정보기준일자
02023-01174가나환경건설999-86-99902Y2023-08-312023-01-12
12023-01175가나환경개발999-86-99903Y2023-07-052023-01-12
22023-01177가나드림999-87-99905Y2024-01-312023-01-12
32023-01178가나차이나999-87-99906Y2024-08-10Y2023-01-12
42023-01181가나쵸이스999-86-99909Y2023-08-312023-01-12
52023-01182가나이화999-86-99910Y2024-01-31Y2023-08-312023-01-12
62023-01183가나최가네999-81-99911Y2024-08-102023-01-12
72023-01185가나유라시아999-86-99913Y2024-08-312023-01-12
82023-01186가나기독교999-86-99914Y2023-11-112023-01-12
92023-01187가나정공999-81-99915Y2023-08-312023-01-12
기준년월기업코드기업명사업자등록번호벤처기업인증여부벤처기업인증만료일자이노비즈인증여부이노비즈인증만료일자메인비즈인증여부메인비즈인증만료일자소재부품인증여부소재부품인증만료일자기업부설연구소인증여부정보기준일자
192023-01198가나깨끗한999-81-99926Y2023-11-11Y2023-08-31Y2023-08-31Y2023-01-12
202023-01199가나민속주점999-81-99927Y2024-12-31Y2023-08-31Y2023-07-052023-01-12
212023-01200가나식품유통999-81-99928Y2023-08-31Y2023-07-05Y2024-12-31Y2023-01-12
222023-01201가나클리닉999-81-99929Y2024-08-10Y2023-08-31Y2023-01-12
232023-01202가나특송999-81-99930Y2024-12-312023-01-12
242023-01203가나커피숍999-81-99931Y2024-08-102023-01-12
252023-01204가나프런티어999-81-99932Y2023-08-312023-01-12
262023-01205가나프론티어999-81-99933Y2024-08-102023-01-12
272023-01206가나색연필999-81-99934Y2024-12-312023-01-12
282023-01207가나사료999-81-99935Y2024-08-102023-01-12