Overview

Dataset statistics

Number of variables11
Number of observations400
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.5 KiB
Average record size in memory93.3 B

Variable types

Categorical7
Numeric3
Text1

Dataset

DescriptionSample
Author소상공인연합회
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KFMZEROSTT007

Alerts

소상공인결제분류코드 has constant value ""Constant
광역시도코드 has constant value ""Constant
광역시도명 has constant value ""Constant
년월 is highly overall correlated with 표준산업업종상세분류코드 and 2 other fieldsHigh correlation
소상공인시스템로그ID is highly overall correlated with 결제건수 and 5 other fieldsHigh correlation
표준산업업종대분류코드 is highly overall correlated with 표준산업업종상세분류코드 and 1 other fieldsHigh correlation
소상공인시스템로그일시 is highly overall correlated with 표준산업업종상세분류코드 and 2 other fieldsHigh correlation
결제건수 is highly overall correlated with 합계금액 and 1 other fieldsHigh correlation
합계금액 is highly overall correlated with 결제건수 and 1 other fieldsHigh correlation
표준산업업종상세분류코드 is highly overall correlated with 년월 and 3 other fieldsHigh correlation
년월 is highly imbalanced (54.7%)Imbalance
소상공인시스템로그ID is highly imbalanced (54.7%)Imbalance
소상공인시스템로그일시 is highly imbalanced (54.7%)Imbalance
결제건수 has 318 (79.5%) zerosZeros
합계금액 has 318 (79.5%) zerosZeros

Reproduction

Analysis started2023-12-10 06:33:40.038087
Analysis finished2023-12-10 06:33:42.934370
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소상공인결제분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
ZEROP29000
400 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowZEROP29000
2nd rowZEROP29000
3rd rowZEROP29000
4th rowZEROP29000
5th rowZEROP29000

Common Values

ValueCountFrequency (%)
ZEROP29000 400
100.0%

Length

2023-12-10T15:33:43.062505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:33:43.210738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
zerop29000 400
100.0%

년월
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
202008
362 
202009
38 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202008
2nd row202008
3rd row202008
4th row202008
5th row202008

Common Values

ValueCountFrequency (%)
202008 362
90.5%
202009 38
 
9.5%

Length

2023-12-10T15:33:43.360810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:33:43.864926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202008 362
90.5%
202009 38
 
9.5%

소상공인시스템로그ID
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
362 
help@sobig.or.kr
38 

Length

Max length16
Median length4
Mean length5.14
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 362
90.5%
help@sobig.or.kr 38
 
9.5%

Length

2023-12-10T15:33:44.063563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:33:44.255653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 362
90.5%
help@sobig.or.kr 38
 
9.5%

광역시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
29
400 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row29
2nd row29
3rd row29
4th row29
5th row29

Common Values

ValueCountFrequency (%)
29 400
100.0%

Length

2023-12-10T15:33:44.408943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:33:44.553344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
29 400
100.0%

광역시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
광주광역시
400 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 400
100.0%

Length

2023-12-10T15:33:44.703959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:33:44.852825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 400
100.0%

결제건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4325
Minimum0
Maximum2437
Zeros318
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-10T15:33:45.045460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum2437
Range2437
Interquartile range (IQR)0

Descriptive statistics

Standard deviation122.16982
Coefficient of variation (CV)14.487971
Kurtosis394.26485
Mean8.4325
Median Absolute Deviation (MAD)0
Skewness19.788881
Sum3373
Variance14925.464
MonotonicityNot monotonic
2023-12-10T15:33:45.281948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 318
79.5%
1 32
 
8.0%
2 11
 
2.8%
4 5
 
1.2%
3 4
 
1.0%
12 3
 
0.8%
7 2
 
0.5%
5 2
 
0.5%
25 1
 
0.2%
46 1
 
0.2%
Other values (21) 21
 
5.2%
ValueCountFrequency (%)
0 318
79.5%
1 32
 
8.0%
2 11
 
2.8%
3 4
 
1.0%
4 5
 
1.2%
5 2
 
0.5%
6 1
 
0.2%
7 2
 
0.5%
8 1
 
0.2%
9 1
 
0.2%
ValueCountFrequency (%)
2437 1
0.2%
106 1
0.2%
79 1
0.2%
75 1
0.2%
63 1
0.2%
59 1
0.2%
51 1
0.2%
49 1
0.2%
46 1
0.2%
44 1
0.2%

합계금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct75
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272325.22
Minimum0
Maximum38372950
Zeros318
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-10T15:33:45.510101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile451150
Maximum38372950
Range38372950
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2275637.7
Coefficient of variation (CV)8.3563237
Kurtosis208.88672
Mean272325.22
Median Absolute Deviation (MAD)0
Skewness13.557011
Sum1.0893009 × 108
Variance5.1785271 × 1012
MonotonicityNot monotonic
2023-12-10T15:33:45.773464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 318
79.5%
1 3
 
0.8%
60000 3
 
0.8%
1000 2
 
0.5%
50000 2
 
0.5%
118000 2
 
0.5%
23000 2
 
0.5%
24000 1
 
0.2%
94400 1
 
0.2%
473520 1
 
0.2%
Other values (65) 65
 
16.2%
ValueCountFrequency (%)
0 318
79.5%
1 3
 
0.8%
10 1
 
0.2%
1000 2
 
0.5%
5000 1
 
0.2%
5003 1
 
0.2%
6000 1
 
0.2%
10000 1
 
0.2%
10300 1
 
0.2%
10400 1
 
0.2%
ValueCountFrequency (%)
38372950 1
0.2%
18027011 1
0.2%
12556570 1
0.2%
7378500 1
0.2%
6170330 1
0.2%
4487550 1
0.2%
2652970 1
0.2%
2303800 1
0.2%
2000000 1
0.2%
1783200 1
0.2%

표준산업업종대분류코드
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
G
131 
C
120 
S
24 
I
22 
P
17 
Other values (10)
86 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
G 131
32.8%
C 120
30.0%
S 24
 
6.0%
I 22
 
5.5%
P 17
 
4.2%
R 15
 
3.8%
M 14
 
3.5%
N 13
 
3.2%
J 10
 
2.5%
F 9
 
2.2%
Other values (5) 25
 
6.2%

Length

2023-12-10T15:33:46.033750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g 131
32.8%
c 120
30.0%
s 24
 
6.0%
i 22
 
5.5%
p 17
 
4.2%
r 15
 
3.8%
m 14
 
3.5%
n 13
 
3.2%
j 10
 
2.5%
f 9
 
2.2%
Other values (5) 25
 
6.2%

표준산업업종상세분류코드
Real number (ℝ)

HIGH CORRELATION 

Distinct363
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47235.787
Minimum1122
Maximum96999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-10T15:33:46.240445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1122
5-th percentile10502
Q126209.5
median47121.5
Q358444.75
95-th percentile95211.05
Maximum96999
Range95877
Interquartile range (IQR)32235.25

Descriptive statistics

Standard deviation26184.009
Coefficient of variation (CV)0.55432567
Kurtosis-0.78129999
Mean47235.787
Median Absolute Deviation (MAD)19925
Skewness0.2392487
Sum18894315
Variance6.8560235 × 108
MonotonicityNot monotonic
2023-12-10T15:33:46.907473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1122 2
 
0.5%
13223 2
 
0.5%
10794 2
 
0.5%
10796 2
 
0.5%
10797 2
 
0.5%
10799 2
 
0.5%
10802 2
 
0.5%
11111 2
 
0.5%
13221 2
 
0.5%
13224 2
 
0.5%
Other values (353) 380
95.0%
ValueCountFrequency (%)
1122 2
0.5%
1500 2
0.5%
10122 1
0.2%
10211 2
0.5%
10212 2
0.5%
10220 2
0.5%
10301 2
0.5%
10302 2
0.5%
10402 2
0.5%
10403 2
0.5%
ValueCountFrequency (%)
96999 1
0.2%
96995 1
0.2%
96994 1
0.2%
96921 1
0.2%
96913 1
0.2%
96912 1
0.2%
96129 1
0.2%
96122 1
0.2%
96121 1
0.2%
96119 1
0.2%

표준산업업종상세분류명
Text

Distinct363
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-10T15:33:47.818420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length12.195
Min length3

Characters and Unicode

Total characters4878
Distinct characters306
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)81.5%

Sample

1st row화훼작물 재배업
2nd row수렵 및 관련 서비스업
3rd row수산동물 훈제조리 및 유사 조제식품 제조업
4th row수산동물 건조 및 염장품 제조업
5th row수산식물 가공 및 저장 처리업
ValueCountFrequency (%)
및 163
 
11.1%
제조업 97
 
6.6%
기타 89
 
6.1%
소매업 61
 
4.2%
도매업 53
 
3.6%
외 29
 
2.0%
그 29
 
2.0%
운영업 18
 
1.2%
서비스업 18
 
1.2%
유사 14
 
1.0%
Other values (510) 895
61.1%
2023-12-10T15:33:48.605897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1066
21.9%
업 383
 
7.9%
및 163
 
3.3%
기 152
 
3.1%
제 150
 
3.1%
매 124
 
2.5%
조 122
 
2.5%
품 106
 
2.2%
용 95
 
1.9%
타 93
 
1.9%
Other values (296) 2424
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3809
78.1%
Space Separator 1066
 
21.9%
Open Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 383
 
10.1%
및 163
 
4.3%
기 152
 
4.0%
제 150
 
3.9%
매 124
 
3.3%
조 122
 
3.2%
품 106
 
2.8%
용 95
 
2.5%
타 93
 
2.4%
소 75
 
2.0%
Other values (292) 2346
61.6%
Space Separator
ValueCountFrequency (%)
1066
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3809
78.1%
Common 1069
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 383
 
10.1%
및 163
 
4.3%
기 152
 
4.0%
제 150
 
3.9%
매 124
 
3.3%
조 122
 
3.2%
품 106
 
2.8%
용 95
 
2.5%
타 93
 
2.4%
소 75
 
2.0%
Other values (292) 2346
61.6%
Common
ValueCountFrequency (%)
1066
99.7%
( 1
 
0.1%
1 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3797
77.8%
ASCII 1069
 
21.9%
Compat Jamo 12
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1066
99.7%
( 1
 
0.1%
1 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
업 383
 
10.1%
및 163
 
4.3%
기 152
 
4.0%
제 150
 
4.0%
매 124
 
3.3%
조 122
 
3.2%
품 106
 
2.8%
용 95
 
2.5%
타 93
 
2.4%
소 75
 
2.0%
Other values (291) 2334
61.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%

소상공인시스템로그일시
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2020-10-21 12:28:43.0
362 
2020-10-21 13:05:28.0
38 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-21 12:28:43.0
2nd row2020-10-21 12:28:43.0
3rd row2020-10-21 12:28:43.0
4th row2020-10-21 12:28:43.0
5th row2020-10-21 12:28:43.0

Common Values

ValueCountFrequency (%)
2020-10-21 12:28:43.0 362
90.5%
2020-10-21 13:05:28.0 38
 
9.5%

Length

2023-12-10T15:33:48.855483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:33:49.041951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-10-21 400
50.0%
12:28:43.0 362
45.2%
13:05:28.0 38
 
4.8%

Interactions

2023-12-10T15:33:41.923461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:40.870157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:41.412156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:42.060919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:41.021631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:41.562793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:42.225919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:41.206084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:33:41.731982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:33:49.200548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월결제건수합계금액표준산업업종대분류코드표준산업업종상세분류코드소상공인시스템로그일시
년월1.0000.0000.0000.5010.7591.000
결제건수0.0001.0001.0000.0000.0000.000
합계금액0.0001.0001.0000.0000.0000.000
표준산업업종대분류코드0.5010.0000.0001.0000.9650.501
표준산업업종상세분류코드0.7590.0000.0000.9651.0000.759
소상공인시스템로그일시1.0000.0000.0000.5010.7591.000
2023-12-10T15:33:49.387229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월소상공인시스템로그ID표준산업업종대분류코드소상공인시스템로그일시
년월1.0001.0000.4510.985
소상공인시스템로그ID1.0001.0001.0001.000
표준산업업종대분류코드0.4511.0001.0000.451
소상공인시스템로그일시0.9851.0000.4511.000
2023-12-10T15:33:49.570237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결제건수합계금액표준산업업종상세분류코드년월소상공인시스템로그ID표준산업업종대분류코드소상공인시스템로그일시
결제건수1.0000.9950.0100.0001.0000.0000.000
합계금액0.9951.0000.0180.0001.0000.0000.000
표준산업업종상세분류코드0.0100.0181.0000.5921.0000.7940.592
년월0.0000.0000.5921.0001.0000.4510.985
소상공인시스템로그ID1.0001.0001.0001.0001.0001.0001.000
표준산업업종대분류코드0.0000.0000.7940.4511.0001.0000.451
소상공인시스템로그일시0.0000.0000.5920.9851.0000.4511.000

Missing values

2023-12-10T15:33:42.516272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:33:42.814956image/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

소상공인결제분류코드년월소상공인시스템로그ID광역시도코드광역시도명결제건수합계금액표준산업업종대분류코드표준산업업종상세분류코드표준산업업종상세분류명소상공인시스템로그일시
0ZEROP29000202008<NA>29광주광역시00A1122화훼작물 재배업2020-10-21 12:28:43.0
1ZEROP29000202008<NA>29광주광역시00A1500수렵 및 관련 서비스업2020-10-21 12:28:43.0
2ZEROP29000202008<NA>29광주광역시00C10211수산동물 훈제조리 및 유사 조제식품 제조업2020-10-21 12:28:43.0
3ZEROP29000202008<NA>29광주광역시00C10212수산동물 건조 및 염장품 제조업2020-10-21 12:28:43.0
4ZEROP29000202008<NA>29광주광역시00C10220수산식물 가공 및 저장 처리업2020-10-21 12:28:43.0
5ZEROP29000202008<NA>29광주광역시149000C10301김치류 제조업2020-10-21 12:28:43.0
6ZEROP29000202008<NA>29광주광역시11C10302과실 및 그 외 채소 절임식품 제조업2020-10-21 12:28:43.0
7ZEROP29000202008<NA>29광주광역시00C10402식물성 유지 제조업2020-10-21 12:28:43.0
8ZEROP29000202008<NA>29광주광역시120000C10403식용 정제유 및 가공유 제조업2020-10-21 12:28:43.0
9ZEROP29000202008<NA>29광주광역시1195100C10502아이스크림 및 기타 식용 빙과류 제조업2020-10-21 12:28:43.0
소상공인결제분류코드년월소상공인시스템로그ID광역시도코드광역시도명결제건수합계금액표준산업업종대분류코드표준산업업종상세분류코드표준산업업종상세분류명소상공인시스템로그일시
390ZEROP29000202009help@sobig.or.kr29광주광역시00C13221침구 및 관련제품 제조업2020-10-21 13:05:28.0
391ZEROP29000202009help@sobig.or.kr29광주광역시00C13222자수제품 및 자수용 재료 제조업2020-10-21 13:05:28.0
392ZEROP29000202009help@sobig.or.kr29광주광역시00C13223커튼 및 유사 제품 제조업2020-10-21 13:05:28.0
393ZEROP29000202009help@sobig.or.kr29광주광역시00C13224천막텐트 및 유사 제품 제조업2020-10-21 13:05:28.0
394ZEROP29000202009help@sobig.or.kr29광주광역시00C13402직물편조 원단 및 의복류 염색 가공업2020-10-21 13:05:28.0
395ZEROP29000202009help@sobig.or.kr29광주광역시00C14111남자용 겉옷 제조업2020-10-21 13:05:28.0
396ZEROP29000202009help@sobig.or.kr29광주광역시11C14112여자용 겉옷 제조업2020-10-21 13:05:28.0
397ZEROP29000202009help@sobig.or.kr29광주광역시00C14130한복 제조업2020-10-21 13:05:28.0
398ZEROP29000202009help@sobig.or.kr29광주광역시00C14192근무복작업복 및 유사 의복 제조업2020-10-21 13:05:28.0
399ZEROP29000202009help@sobig.or.kr29광주광역시00C14199그 외 기타 봉제의복 제조업2020-10-21 13:05:28.0