Overview

Dataset statistics

Number of variables14
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory115.3 B

Variable types

DateTime2
Categorical11
Numeric1

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://www.bigdata-region.kr/#/dataset/010e03e4-be02-4b71-99e5-a9729f876d36

Alerts

STDR_YM has constant value ""Constant
CTPRVN_NM has constant value ""Constant
DESIGN_SE_NM has constant value ""Constant
REGIST_DE has constant value ""Constant
OPERTOR_NM has constant value ""Constant
INDUTY_MLSFC_NM is highly overall correlated with INDUTY_LCLAS_CODE and 2 other fieldsHigh correlation
PRCSS_ENTRPRS_SE is highly overall correlated with ADSTRD_NM and 1 other fieldsHigh correlation
INDUTY_LCLAS_NM is highly overall correlated with INDUTY_LCLAS_CODE and 2 other fieldsHigh correlation
INDUTY_LCLAS_CODE is highly overall correlated with INDUTY_MLSFC_CODE and 2 other fieldsHigh correlation
PRCSS_ENTRPRS_SE_CODE is highly overall correlated with ADSTRD_NM and 1 other fieldsHigh correlation
INDUTY_MLSFC_CODE is highly overall correlated with INDUTY_LCLAS_CODE and 2 other fieldsHigh correlation
SIGNGU_NM is highly overall correlated with ADSTRD_NMHigh correlation
ADSTRD_NM is highly overall correlated with SIGNGU_NM and 2 other fieldsHigh correlation
INDUTY_LCLAS_CODE is highly imbalanced (64.7%)Imbalance
INDUTY_LCLAS_NM is highly imbalanced (64.7%)Imbalance

Reproduction

Analysis started2023-12-10 13:57:35.040628
Analysis finished2023-12-10 13:57:36.850541
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STDR_YM
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-03-01 00:00:00
Maximum2020-03-01 00:00:00
2023-12-10T22:57:36.927502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:37.118020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

CTPRVN_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경기
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 100
100.0%

Length

2023-12-10T22:57:37.312165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:37.452505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 100
100.0%

SIGNGU_NM
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
파주시
34 
포천시
24 
평택시
13 
이천시
9 
의왕시
8 
Other values (3)
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row연천군
2nd row오산시
3rd row오산시
4th row오산시
5th row오산시

Common Values

ValueCountFrequency (%)
파주시 34
34.0%
포천시 24
24.0%
평택시 13
 
13.0%
이천시 9
 
9.0%
의왕시 8
 
8.0%
하남시 7
 
7.0%
오산시 4
 
4.0%
연천군 1
 
1.0%

Length

2023-12-10T22:57:37.624748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:37.811924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 34
34.0%
포천시 24
24.0%
평택시 13
 
13.0%
이천시 9
 
9.0%
의왕시 8
 
8.0%
하남시 7
 
7.0%
오산시 4
 
4.0%
연천군 1
 
1.0%

ADSTRD_NM
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
교하동
9 
가산면
 
6
광탄면
 
4
파주읍
 
4
탄현면
 
4
Other values (41)
73 

Length

Max length4
Median length3
Mean length3.08
Min length3

Unique

Unique19 ?
Unique (%)19.0%

Sample

1st row전곡읍
2nd row남촌동
3rd row남촌동
4th row세마동
5th row세마동

Common Values

ValueCountFrequency (%)
교하동 9
 
9.0%
가산면 6
 
6.0%
광탄면 4
 
4.0%
파주읍 4
 
4.0%
탄현면 4
 
4.0%
선단동 4
 
4.0%
월롱면 3
 
3.0%
청계동 3
 
3.0%
풍산동 3
 
3.0%
조리읍 3
 
3.0%
Other values (36) 57
57.0%

Length

2023-12-10T22:57:38.022848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교하동 9
 
9.0%
가산면 6
 
6.0%
광탄면 4
 
4.0%
파주읍 4
 
4.0%
탄현면 4
 
4.0%
선단동 4
 
4.0%
군내면 3
 
3.0%
소흘읍 3
 
3.0%
송탄동 3
 
3.0%
내촌면 3
 
3.0%
Other values (36) 57
57.0%

INDUTY_LCLAS_CODE
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
C
81 
G
12 
F
 
2
P
 
1
S
 
1
Other values (3)
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st rowC
2nd rowC
3rd rowG
4th rowC
5th rowG

Common Values

ValueCountFrequency (%)
C 81
81.0%
G 12
 
12.0%
F 2
 
2.0%
P 1
 
1.0%
S 1
 
1.0%
M 1
 
1.0%
N 1
 
1.0%
J 1
 
1.0%

Length

2023-12-10T22:57:38.215303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:38.458495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c 81
81.0%
g 12
 
12.0%
f 2
 
2.0%
p 1
 
1.0%
s 1
 
1.0%
m 1
 
1.0%
n 1
 
1.0%
j 1
 
1.0%

INDUTY_MLSFC_CODE
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
G46
12 
C22
11 
C33
9 
C32
8 
C25
8 
Other values (19)
52 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique9 ?
Unique (%)9.0%

Sample

1st rowC22
2nd rowC28
3rd rowG46
4th rowC26
5th rowG46

Common Values

ValueCountFrequency (%)
G46 12
12.0%
C22 11
11.0%
C33 9
9.0%
C32 8
 
8.0%
C25 8
 
8.0%
C27 7
 
7.0%
C28 7
 
7.0%
C26 6
 
6.0%
C13 6
 
6.0%
C29 5
 
5.0%
Other values (14) 21
21.0%

Length

2023-12-10T22:57:38.648149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g46 12
12.0%
c22 11
11.0%
c33 9
9.0%
c32 8
 
8.0%
c25 8
 
8.0%
c27 7
 
7.0%
c28 7
 
7.0%
c26 6
 
6.0%
c13 6
 
6.0%
c29 5
 
5.0%
Other values (14) 21
21.0%

INDUTY_LCLAS_NM
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
제조업
81 
도매 및 소매업
12 
건설업
 
2
교육 서비스업
 
1
협회 및 단체; 수리 및 기타 개인 서비스업
 
1
Other values (3)
 
3

Length

Max length24
Median length3
Mean length4.21
Min length3

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row제조업
2nd row제조업
3rd row도매 및 소매업
4th row제조업
5th row도매 및 소매업

Common Values

ValueCountFrequency (%)
제조업 81
81.0%
도매 및 소매업 12
 
12.0%
건설업 2
 
2.0%
교육 서비스업 1
 
1.0%
협회 및 단체; 수리 및 기타 개인 서비스업 1
 
1.0%
전문; 과학 및 기술 서비스업 1
 
1.0%
사업시설 관리; 사업 지원 및 임대 서비스업 1
 
1.0%
정보통신업 1
 
1.0%

Length

2023-12-10T22:57:38.985893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:39.313265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 81
57.0%
및 16
 
11.3%
소매업 12
 
8.5%
도매 12
 
8.5%
서비스업 4
 
2.8%
건설업 2
 
1.4%
과학 1
 
0.7%
임대 1
 
0.7%
지원 1
 
0.7%
사업 1
 
0.7%
Other values (11) 11
 
7.7%

INDUTY_MLSFC_NM
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
도매 및 상품 중개업
12 
고무 및 플라스틱제품 제조업
11 
기타 제품 제조업
9 
가구 제조업
8 
금속가공제품 제조업; 기계 및 가구 제외
8 
Other values (19)
52 

Length

Max length28
Median length21
Mean length14.02
Min length3

Unique

Unique9 ?
Unique (%)9.0%

Sample

1st row고무 및 플라스틱제품 제조업
2nd row전기장비 제조업
3rd row도매 및 상품 중개업
4th row전자부품; 컴퓨터; 영상; 음향 및 통신장비 제조업
5th row도매 및 상품 중개업

Common Values

ValueCountFrequency (%)
도매 및 상품 중개업 12
12.0%
고무 및 플라스틱제품 제조업 11
11.0%
기타 제품 제조업 9
9.0%
가구 제조업 8
 
8.0%
금속가공제품 제조업; 기계 및 가구 제외 8
 
8.0%
의료; 정밀; 광학기기 및 시계 제조업 7
 
7.0%
전기장비 제조업 7
 
7.0%
전자부품; 컴퓨터; 영상; 음향 및 통신장비 제조업 6
 
6.0%
섬유제품 제조업; 의복제외 6
 
6.0%
기타 기계 및 장비 제조업 5
 
5.0%
Other values (14) 21
21.0%

Length

2023-12-10T22:57:39.585994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 81
20.1%
및 61
 
15.2%
가구 16
 
4.0%
기타 15
 
3.7%
기계 13
 
3.2%
도매 12
 
3.0%
상품 12
 
3.0%
중개업 12
 
3.0%
고무 11
 
2.7%
플라스틱제품 11
 
2.7%
Other values (45) 158
39.3%

PRCSS_ENTRPRS_SE_CODE
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4
64 
3
20 
99
10 
2
 
5
1
 
1

Length

Max length2
Median length1
Mean length1.1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row4
2nd row4
3rd row3
4th row2
5th row4

Common Values

ValueCountFrequency (%)
4 64
64.0%
3 20
 
20.0%
99 10
 
10.0%
2 5
 
5.0%
1 1
 
1.0%

Length

2023-12-10T22:57:39.929297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:40.097196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 64
64.0%
3 20
 
20.0%
99 10
 
10.0%
2 5
 
5.0%
1 1
 
1.0%

PRCSS_ENTRPRS_SE
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
소기업
64 
중기업
20 
미분류
10 
중견기업
 
5
대기업
 
1

Length

Max length4
Median length3
Mean length3.05
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row소기업
2nd row소기업
3rd row중기업
4th row중견기업
5th row소기업

Common Values

ValueCountFrequency (%)
소기업 64
64.0%
중기업 20
 
20.0%
미분류 10
 
10.0%
중견기업 5
 
5.0%
대기업 1
 
1.0%

Length

2023-12-10T22:57:40.267939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:40.423595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소기업 64
64.0%
중기업 20
 
20.0%
미분류 10
 
10.0%
중견기업 5
 
5.0%
대기업 1
 
1.0%

DESIGN_SE_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
다디자인
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다디자인 100
100.0%

Length

2023-12-10T22:57:40.621959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:40.778893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다디자인 100
100.0%

TOT_ENTRPRS_CO
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:57:40.985783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum17
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0449494
Coefficient of variation (CV)0.92952247
Kurtosis27.157194
Mean2.2
Median Absolute Deviation (MAD)0
Skewness4.2291163
Sum220
Variance4.1818182
MonotonicityNot monotonic
2023-12-10T22:57:41.167926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 51
51.0%
2 20
 
20.0%
3 11
 
11.0%
4 9
 
9.0%
5 6
 
6.0%
6 1
 
1.0%
7 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
1 51
51.0%
2 20
 
20.0%
3 11
 
11.0%
4 9
 
9.0%
5 6
 
6.0%
6 1
 
1.0%
7 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
17 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 6
 
6.0%
4 9
 
9.0%
3 11
 
11.0%
2 20
 
20.0%
1 51
51.0%

REGIST_DE
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2020-12-10 00:00:00
Maximum2020-12-10 00:00:00
2023-12-10T22:57:41.321029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:41.453311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

OPERTOR_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KEDSYS
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KEDSYS 100
100.0%

Length

2023-12-10T22:57:41.590649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:57:41.749990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kedsys 100
100.0%

Interactions

2023-12-10T22:57:36.155792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:57:41.850621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SETOT_ENTRPRS_CO
SIGNGU_NM1.0001.0000.0000.0000.0000.0000.2220.2220.000
ADSTRD_NM1.0001.0000.0000.0000.0000.0000.9000.9000.000
INDUTY_LCLAS_CODE0.0000.0001.0001.0001.0001.0000.0000.0000.025
INDUTY_MLSFC_CODE0.0000.0001.0001.0001.0001.0000.0000.0000.000
INDUTY_LCLAS_NM0.0000.0001.0001.0001.0001.0000.0000.0000.025
INDUTY_MLSFC_NM0.0000.0001.0001.0001.0001.0000.0000.0000.000
PRCSS_ENTRPRS_SE_CODE0.2220.9000.0000.0000.0000.0001.0001.0000.478
PRCSS_ENTRPRS_SE0.2220.9000.0000.0000.0000.0001.0001.0000.478
TOT_ENTRPRS_CO0.0000.0000.0250.0000.0250.0000.4780.4781.000
2023-12-10T22:57:42.183987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
INDUTY_MLSFC_NMPRCSS_ENTRPRS_SEINDUTY_LCLAS_NMSIGNGU_NMINDUTY_LCLAS_CODEPRCSS_ENTRPRS_SE_CODEINDUTY_MLSFC_CODEADSTRD_NM
INDUTY_MLSFC_NM1.0000.0000.9090.0000.9090.0001.0000.000
PRCSS_ENTRPRS_SE0.0001.0000.0000.1330.0001.0000.0000.505
INDUTY_LCLAS_NM0.9090.0001.0000.0001.0000.0000.9090.000
SIGNGU_NM0.0000.1330.0001.0000.0000.1330.0000.766
INDUTY_LCLAS_CODE0.9090.0001.0000.0001.0000.0000.9090.000
PRCSS_ENTRPRS_SE_CODE0.0001.0000.0000.1330.0001.0000.0000.505
INDUTY_MLSFC_CODE1.0000.0000.9090.0000.9090.0001.0000.000
ADSTRD_NM0.0000.5050.0000.7660.0000.5050.0001.000
2023-12-10T22:57:42.834479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
TOT_ENTRPRS_COSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SE
TOT_ENTRPRS_CO1.0000.0000.0000.0000.0000.0000.0000.1940.194
SIGNGU_NM0.0001.0000.7660.0000.0000.0000.0000.1330.133
ADSTRD_NM0.0000.7661.0000.0000.0000.0000.0000.5050.505
INDUTY_LCLAS_CODE0.0000.0000.0001.0000.9091.0000.9090.0000.000
INDUTY_MLSFC_CODE0.0000.0000.0000.9091.0000.9091.0000.0000.000
INDUTY_LCLAS_NM0.0000.0000.0001.0000.9091.0000.9090.0000.000
INDUTY_MLSFC_NM0.0000.0000.0000.9091.0000.9091.0000.0000.000
PRCSS_ENTRPRS_SE_CODE0.1940.1330.5050.0000.0000.0000.0001.0001.000
PRCSS_ENTRPRS_SE0.1940.1330.5050.0000.0000.0000.0001.0001.000

Missing values

2023-12-10T22:57:36.387786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:57:36.697317image/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

STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SEDESIGN_SE_NMTOT_ENTRPRS_COREGIST_DEOPERTOR_NM
02020-03경기연천군전곡읍CC22제조업고무 및 플라스틱제품 제조업4소기업다디자인12020-12-10KEDSYS
12020-03경기오산시남촌동CC28제조업전기장비 제조업4소기업다디자인32020-12-10KEDSYS
22020-03경기오산시남촌동GG46도매 및 소매업도매 및 상품 중개업3중기업다디자인12020-12-10KEDSYS
32020-03경기오산시세마동CC26제조업전자부품; 컴퓨터; 영상; 음향 및 통신장비 제조업2중견기업다디자인22020-12-10KEDSYS
42020-03경기오산시세마동GG46도매 및 소매업도매 및 상품 중개업4소기업다디자인12020-12-10KEDSYS
52020-03경기의왕시고천동CC22제조업고무 및 플라스틱제품 제조업3중기업다디자인12020-12-10KEDSYS
62020-03경기의왕시부곡동CC26제조업전자부품; 컴퓨터; 영상; 음향 및 통신장비 제조업4소기업다디자인12020-12-10KEDSYS
72020-03경기의왕시오전동CC27제조업의료; 정밀; 광학기기 및 시계 제조업2중견기업다디자인12020-12-10KEDSYS
82020-03경기의왕시청계동CC26제조업전자부품; 컴퓨터; 영상; 음향 및 통신장비 제조업4소기업다디자인12020-12-10KEDSYS
92020-03경기의왕시청계동CC27제조업의료; 정밀; 광학기기 및 시계 제조업4소기업다디자인62020-12-10KEDSYS
STDR_YMCTPRVN_NMSIGNGU_NMADSTRD_NMINDUTY_LCLAS_CODEINDUTY_MLSFC_CODEINDUTY_LCLAS_NMINDUTY_MLSFC_NMPRCSS_ENTRPRS_SE_CODEPRCSS_ENTRPRS_SEDESIGN_SE_NMTOT_ENTRPRS_COREGIST_DEOPERTOR_NM
902020-03경기포천시영중면CC13제조업섬유제품 제조업; 의복제외4소기업다디자인12020-12-10KEDSYS
912020-03경기포천시창수면CC13제조업섬유제품 제조업; 의복제외4소기업다디자인12020-12-10KEDSYS
922020-03경기포천시화현면CC22제조업고무 및 플라스틱제품 제조업3중기업다디자인52020-12-10KEDSYS
932020-03경기하남시감북동CC30제조업자동차 및 트레일러 제조업99미분류다디자인32020-12-10KEDSYS
942020-03경기하남시감북동CC33제조업기타 제품 제조업4소기업다디자인22020-12-10KEDSYS
952020-03경기하남시천현동CC15제조업가죽; 가방 및 신발 제조업4소기업다디자인12020-12-10KEDSYS
962020-03경기하남시천현동GG46도매 및 소매업도매 및 상품 중개업4소기업다디자인22020-12-10KEDSYS
972020-03경기하남시풍산동CC13제조업섬유제품 제조업; 의복제외4소기업다디자인22020-12-10KEDSYS
982020-03경기하남시풍산동CC14제조업의복; 의복 액세서리 및 모피제품 제조업4소기업다디자인12020-12-10KEDSYS
992020-03경기하남시풍산동CC22제조업고무 및 플라스틱제품 제조업4소기업다디자인12020-12-10KEDSYS