Overview

Dataset statistics

Number of variables39
Number of observations30
Missing cells162
Missing cells (%)13.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory323.4 B

Variable types

Numeric3
Text11
Categorical9
Boolean4
DateTime9
Unsupported3

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/cf67edd9-707e-4ea2-b616-fbedfc6fddc8

Alerts

기업규모명 has constant value ""Constant
상장시장명 has constant value ""Constant
관리종목여부 has constant value ""Constant
기업존속여부 has constant value ""Constant
재무구분명 has constant value ""Constant
삭제여부 has constant value ""Constant
외부감사여부 is highly imbalanced (78.9%)Imbalance
결산월 is highly imbalanced (64.7%)Imbalance
창업일자 has 18 (60.0%) missing valuesMissing
설립일자 has 24 (80.0%) missing valuesMissing
상장일자 has 30 (100.0%) missing valuesMissing
종업원기준일자 has 2 (6.7%) missing valuesMissing
영문은행지점명 has 6 (20.0%) missing valuesMissing
한글주요제품명 has 1 (3.3%) missing valuesMissing
영문주요제품명 has 21 (70.0%) missing valuesMissing
본사전화번호 has 30 (100.0%) missing valuesMissing
본사팩스번호 has 30 (100.0%) missing valuesMissing
기업정보번호 has unique valuesUnique
개업일자 has unique valuesUnique
한글업체명 has unique valuesUnique
영문업체명 has unique valuesUnique
약식업체명 has unique valuesUnique
본사한글주소 has unique valuesUnique
상장일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
본사팩스번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종업원수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:05:05.114091
Analysis finished2023-12-10 14:05:06.917706
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기업정보번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.16667
Minimum15
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:05:07.018591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile27.35
Q186.25
median162.5
Q3239.5
95-th percentile288.2
Maximum293
Range278
Interquartile range (IQR)153.25

Descriptive statistics

Standard deviation90.816633
Coefficient of variation (CV)0.55658815
Kurtosis-1.3083455
Mean163.16667
Median Absolute Deviation (MAD)79
Skewness-0.038150504
Sum4895
Variance8247.6609
MonotonicityStrictly increasing
2023-12-10T23:05:07.300421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
15 1
 
3.3%
172 1
 
3.3%
293 1
 
3.3%
290 1
 
3.3%
286 1
 
3.3%
285 1
 
3.3%
276 1
 
3.3%
274 1
 
3.3%
269 1
 
3.3%
243 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
15 1
3.3%
17 1
3.3%
40 1
3.3%
43 1
3.3%
49 1
3.3%
73 1
3.3%
83 1
3.3%
84 1
3.3%
93 1
3.3%
107 1
3.3%
ValueCountFrequency (%)
293 1
3.3%
290 1
3.3%
286 1
3.3%
285 1
3.3%
276 1
3.3%
274 1
3.3%
269 1
3.3%
243 1
3.3%
229 1
3.3%
227 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:07.590982image/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

Unique24 ?
Unique (%)80.0%

Sample

1st row113-**-*****
2nd row219-**-*****
3rd row210-**-*****
4th row104-**-*****
5th row133-**-*****
ValueCountFrequency (%)
215 2
 
6.7%
219 2
 
6.7%
138 2
 
6.7%
214 1
 
3.3%
113 1
 
3.3%
139 1
 
3.3%
209 1
 
3.3%
112 1
 
3.3%
105 1
 
3.3%
116 1
 
3.3%
Other values (17) 17
56.7%
2023-12-10T23:05:08.087925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 210
58.3%
- 60
 
16.7%
1 29
 
8.1%
2 18
 
5.0%
3 11
 
3.1%
0 9
 
2.5%
9 6
 
1.7%
5 5
 
1.4%
6 4
 
1.1%
4 4
 
1.1%
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 29
32.2%
2 18
20.0%
3 11
 
12.2%
0 9
 
10.0%
9 6
 
6.7%
5 5
 
5.6%
6 4
 
4.4%
4 4
 
4.4%
8 3
 
3.3%
7 1
 
1.1%
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 29
 
8.1%
2 18
 
5.0%
3 11
 
3.1%
0 9
 
2.5%
9 6
 
1.7%
5 5
 
1.4%
6 4
 
1.1%
4 4
 
1.1%
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 29
 
8.1%
2 18
 
5.0%
3 11
 
3.1%
0 9
 
2.5%
9 6
 
1.7%
5 5
 
1.4%
6 4
 
1.1%
4 4
 
1.1%
Other values (2) 4
 
1.1%
Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
15 
11011-********
10 
13551-********
 
1
13111-********
 
1
13411-********
 
1
Other values (2)

Length

Max length14
Median length9
Mean length9
Min length4

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st row<NA>
2nd row11011-********
3rd row<NA>
4th row11011-********
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 15
50.0%
11011-******** 10
33.3%
13551-******** 1
 
3.3%
13111-******** 1
 
3.3%
13411-******** 1
 
3.3%
12011-******** 1
 
3.3%
13451-******** 1
 
3.3%

Length

2023-12-10T23:05:08.304560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:08.479977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
50.0%
11011 10
33.3%
13551 1
 
3.3%
13111 1
 
3.3%
13411 1
 
3.3%
12011 1
 
3.3%
13451 1
 
3.3%

기업주체명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
개인
15 
일반법인
15 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row일반법인
3rd row개인
4th row일반법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 15
50.0%
일반법인 15
50.0%

Length

2023-12-10T23:05:08.704868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:08.903917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 15
50.0%
일반법인 15
50.0%

기업규모명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
중소기업
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중소기업 30
100.0%

Length

2023-12-10T23:05:09.093922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:09.271844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 30
100.0%

상장시장명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
대상아님
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대상아님 30
100.0%

Length

2023-12-10T23:05:09.426684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:09.576921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대상아님 30
100.0%

관리종목여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:05:09.698366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

외부감사여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
29 
True
 
1
ValueCountFrequency (%)
False 29
96.7%
True 1
 
3.3%
2023-12-10T23:05:09.924857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기업존속여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
True
30 
ValueCountFrequency (%)
True 30
100.0%
2023-12-10T23:05:10.128426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

재무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
제조
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 30
100.0%

Length

2023-12-10T23:05:10.346780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:10.500608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 30
100.0%

결산월
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
12
28 
0
 
2

Length

Max length2
Median length2
Mean length1.9333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row12
3rd row12
4th row12
5th row12

Common Values

ValueCountFrequency (%)
12 28
93.3%
0 2
 
6.7%

Length

2023-12-10T23:05:10.654447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:10.841027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12 28
93.3%
0 2
 
6.7%

창업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing18
Missing (%)60.0%
Memory size372.0 B
Minimum1975-11-06 00:00:00
Maximum1994-03-01 00:00:00
2023-12-10T23:05:10.981850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:11.148770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

설립일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing24
Missing (%)80.0%
Memory size372.0 B
Minimum1987-11-10 00:00:00
Maximum2001-08-09 00:00:00
2023-12-10T23:05:11.338596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:11.523193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

개업일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1961-07-04 00:00:00
Maximum2001-07-01 00:00:00
2023-12-10T23:05:11.699328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:11.914509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

상장일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

종업원기준일자
Date

MISSING 

Distinct18
Distinct (%)64.3%
Missing2
Missing (%)6.7%
Memory size372.0 B
Minimum2001-09-30 00:00:00
Maximum2021-08-23 00:00:00
2023-12-10T23:05:12.143382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:12.323176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

종업원수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.033333
Minimum0
Maximum40
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:05:12.528166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q12
median6
Q313.5
95-th percentile33.65
Maximum40
Range40
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation10.633335
Coefficient of variation (CV)1.0598008
Kurtosis1.7568122
Mean10.033333
Median Absolute Deviation (MAD)4
Skewness1.5781825
Sum301
Variance113.06782
MonotonicityNot monotonic
2023-12-10T23:05:12.843802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 7
23.3%
4 3
 
10.0%
6 3
 
10.0%
7 2
 
6.7%
8 2
 
6.7%
5 1
 
3.3%
32 1
 
3.3%
20 1
 
3.3%
16 1
 
3.3%
1 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 1
 
3.3%
1 1
 
3.3%
2 7
23.3%
4 3
10.0%
5 1
 
3.3%
6 3
10.0%
7 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
40 1
3.3%
35 1
3.3%
32 1
3.3%
24 1
3.3%
20 1
3.3%
19 1
3.3%
16 1
3.3%
14 1
3.3%
12 1
3.3%
9 1
3.3%

한글업체명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:13.179484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length6.9333333
Min length4

Characters and Unicode

Total characters208
Distinct characters79
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 row천용특수인물
2nd row(주)천우무공
3rd row천일실업
4th row연합화학공업(주)
5th row청양토이
ValueCountFrequency (%)
천용특수인물 1
 
3.3%
주)천우무공 1
 
3.3%
knj엔지니어링 1
 
3.3%
코다상사 1
 
3.3%
주)캡토피아 1
 
3.3%
케이월드통상(주 1
 
3.3%
케이앤드씨인터내셔날 1
 
3.3%
주)케이원인터내셔날 1
 
3.3%
코방상사 1
 
3.3%
케이시인터내셔날 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:05:13.881731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 15
 
7.2%
15
 
7.2%
) 15
 
7.2%
12
 
5.8%
8
 
3.8%
7
 
3.4%
6
 
2.9%
6
 
2.9%
6
 
2.9%
5
 
2.4%
Other values (69) 113
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
82.7%
Open Punctuation 15
 
7.2%
Close Punctuation 15
 
7.2%
Other Punctuation 3
 
1.4%
Uppercase Letter 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
8.7%
12
 
7.0%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (63) 97
56.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
J 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
82.7%
Common 33
 
15.9%
Latin 3
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
8.7%
12
 
7.0%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (63) 97
56.4%
Common
ValueCountFrequency (%)
( 15
45.5%
) 15
45.5%
. 3
 
9.1%
Latin
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
82.7%
ASCII 36
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 15
41.7%
) 15
41.7%
. 3
 
8.3%
K 1
 
2.8%
N 1
 
2.8%
J 1
 
2.8%
Hangul
ValueCountFrequency (%)
15
 
8.7%
12
 
7.0%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
5
 
2.9%
Other values (63) 97
56.4%

영문업체명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:14.277367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length19.666667
Min length10

Characters and Unicode

Total characters590
Distinct characters47
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 rowChunryong Co.
2nd rowCHON WOO CORPORATION
3rd rowChunil Enterprise Co.
4th rowYunhap Chemical Ind. Co.;Ltd.
5th rowChongyang Toy Co.
ValueCountFrequency (%)
co 13
 
15.5%
co.;ltd 11
 
13.1%
international 5
 
6.0%
trading 3
 
3.6%
2
 
2.4%
corporation 2
 
2.4%
chemical 2
 
2.4%
corp 2
 
2.4%
chunryong 1
 
1.2%
kobang 1
 
1.2%
Other values (42) 42
50.0%
2023-12-10T23:05:15.012249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
9.3%
C 51
 
8.6%
o 48
 
8.1%
. 47
 
8.0%
n 43
 
7.3%
a 28
 
4.7%
t 25
 
4.2%
r 20
 
3.4%
d 19
 
3.2%
I 17
 
2.9%
Other values (37) 237
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 305
51.7%
Uppercase Letter 167
28.3%
Other Punctuation 62
 
10.5%
Space Separator 55
 
9.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 48
15.7%
n 43
14.1%
a 28
9.2%
t 25
 
8.2%
r 20
 
6.6%
d 19
 
6.2%
g 16
 
5.2%
i 16
 
5.2%
h 14
 
4.6%
e 13
 
4.3%
Other values (12) 63
20.7%
Uppercase Letter
ValueCountFrequency (%)
C 51
30.5%
I 17
 
10.2%
L 15
 
9.0%
O 13
 
7.8%
N 11
 
6.6%
K 11
 
6.6%
T 10
 
6.0%
E 8
 
4.8%
A 5
 
3.0%
W 4
 
2.4%
Other values (9) 22
13.2%
Other Punctuation
ValueCountFrequency (%)
. 47
75.8%
; 11
 
17.7%
& 2
 
3.2%
' 2
 
3.2%
Space Separator
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 472
80.0%
Common 118
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 51
 
10.8%
o 48
 
10.2%
n 43
 
9.1%
a 28
 
5.9%
t 25
 
5.3%
r 20
 
4.2%
d 19
 
4.0%
I 17
 
3.6%
g 16
 
3.4%
i 16
 
3.4%
Other values (31) 189
40.0%
Common
ValueCountFrequency (%)
55
46.6%
. 47
39.8%
; 11
 
9.3%
& 2
 
1.7%
' 2
 
1.7%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
 
9.3%
C 51
 
8.6%
o 48
 
8.1%
. 47
 
8.0%
n 43
 
7.3%
a 28
 
4.7%
t 25
 
4.2%
r 20
 
3.4%
d 19
 
3.2%
I 17
 
2.9%
Other values (37) 237
40.2%

약식업체명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:15.400962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3333333
Min length3

Characters and Unicode

Total characters160
Distinct characters75
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

Unique30 ?
Unique (%)100.0%

Sample

1st row천용특수인물
2nd row천우무공
3rd row천일실업
4th row연합화학공업
5th row청양토이
ValueCountFrequency (%)
천용특수인물 1
 
3.3%
천우무공 1
 
3.3%
knj엔지니어링 1
 
3.3%
코다상사 1
 
3.3%
캡토피아 1
 
3.3%
케이월드통상 1
 
3.3%
케이앤드씨인터내셔날 1
 
3.3%
케이원인터내셔날 1
 
3.3%
코방상사 1
 
3.3%
케이시인터내셔날 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:05:16.267779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
7.5%
8
 
5.0%
7
 
4.4%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (65) 95
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157
98.1%
Uppercase Letter 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
7.6%
8
 
5.1%
7
 
4.5%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (62) 92
58.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
J 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157
98.1%
Latin 3
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
7.6%
8
 
5.1%
7
 
4.5%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (62) 92
58.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157
98.1%
ASCII 3
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
7.6%
8
 
5.1%
7
 
4.5%
6
 
3.8%
6
 
3.8%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
5
 
3.2%
Other values (62) 92
58.6%
ASCII
ValueCountFrequency (%)
K 1
33.3%
N 1
33.3%
J 1
33.3%
Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
김**
정**
장**
박**
최**
Other values (9)
10 

Length

Max length7
Median length3
Mean length3.2666667
Min length3

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row변**
2nd row정**
3rd row김**
4th row장**
5th row박**

Common Values

ValueCountFrequency (%)
김** 9
30.0%
정** 3
 
10.0%
장** 3
 
10.0%
박** 3
 
10.0%
최** 2
 
6.7%
이** 2
 
6.7%
변** 1
 
3.3%
노****** 1
 
3.3%
양** 1
 
3.3%
구****** 1
 
3.3%
Other values (4) 4
13.3%

Length

2023-12-10T23:05:16.504839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
9
30.0%
3
 
10.0%
3
 
10.0%
3
 
10.0%
2
 
6.7%
2
 
6.7%
1
 
3.3%
1
 
3.3%
1
 
3.3%
1
 
3.3%
Other values (4) 4
13.3%
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:16.759237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4666667
Min length3

Characters and Unicode

Total characters134
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)40.0%

Sample

1st rowByun*
2nd rowJeong*
3rd rowKim*
4th rowJang*
5th rowPark*
ValueCountFrequency (%)
kim 9
30.0%
park 3
 
10.0%
jang 2
 
6.7%
lee 2
 
6.7%
jeong 2
 
6.7%
gu 1
 
3.3%
byun 1
 
3.3%
yang 1
 
3.3%
jin 1
 
3.3%
sim 1
 
3.3%
Other values (7) 7
23.3%
2023-12-10T23:05:17.235573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 30
22.4%
i 12
 
9.0%
n 10
 
7.5%
m 10
 
7.5%
K 9
 
6.7%
a 8
 
6.0%
g 8
 
6.0%
e 7
 
5.2%
J 7
 
5.2%
o 5
 
3.7%
Other values (13) 28
20.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 74
55.2%
Other Punctuation 30
22.4%
Uppercase Letter 30
22.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 12
16.2%
n 10
13.5%
m 10
13.5%
a 8
10.8%
g 8
10.8%
e 7
9.5%
o 5
6.8%
u 4
 
5.4%
k 3
 
4.1%
r 3
 
4.1%
Other values (2) 4
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 9
30.0%
J 7
23.3%
P 3
 
10.0%
C 3
 
10.0%
B 2
 
6.7%
L 2
 
6.7%
N 1
 
3.3%
G 1
 
3.3%
S 1
 
3.3%
Y 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 104
77.6%
Common 30
 
22.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 12
11.5%
n 10
9.6%
m 10
9.6%
K 9
 
8.7%
a 8
 
7.7%
g 8
 
7.7%
e 7
 
6.7%
J 7
 
6.7%
o 5
 
4.8%
u 4
 
3.8%
Other values (12) 24
23.1%
Common
ValueCountFrequency (%)
* 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 30
22.4%
i 12
 
9.0%
n 10
 
7.5%
m 10
 
7.5%
K 9
 
6.7%
a 8
 
6.0%
g 8
 
6.0%
e 7
 
5.2%
J 7
 
5.2%
o 5
 
3.7%
Other values (13) 28
20.9%

폐쇄구분명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
미대상
15 
정상
13 
폐쇄

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미대상
2nd row정상
3rd row미대상
4th row정상
5th row미대상

Common Values

ValueCountFrequency (%)
미대상 15
50.0%
정상 13
43.3%
폐쇄 2
 
6.7%

Length

2023-12-10T23:05:17.477791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:05:17.669087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미대상 15
50.0%
정상 13
43.3%
폐쇄 2
 
6.7%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:17.942228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.1333333
Min length2

Characters and Unicode

Total characters94
Distinct characters68
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

Unique28 ?
Unique (%)93.3%

Sample

1st row구로
2nd row송파동
3rd row미아동
4th row남동공단
5th row광명
ValueCountFrequency (%)
남동공단 2
 
6.7%
구로 1
 
3.3%
을지로6가 1
 
3.3%
잠실 1
 
3.3%
서여의도 1
 
3.3%
신림로 1
 
3.3%
동교 1
 
3.3%
여의도 1
 
3.3%
마장동 1
 
3.3%
방배 1
 
3.3%
Other values (19) 19
63.3%
2023-12-10T23:05:18.527158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
10.6%
4
 
4.3%
3
 
3.2%
3
 
3.2%
2
 
2.1%
2
 
2.1%
2
 
2.1%
2
 
2.1%
2
 
2.1%
2
 
2.1%
Other values (58) 62
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
98.9%
Decimal Number 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
10.8%
4
 
4.3%
3
 
3.2%
3
 
3.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (57) 61
65.6%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
98.9%
Common 1
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
10.8%
4
 
4.3%
3
 
3.2%
3
 
3.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (57) 61
65.6%
Common
ValueCountFrequency (%)
6 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
98.9%
ASCII 1
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10
 
10.8%
4
 
4.3%
3
 
3.2%
3
 
3.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (57) 61
65.6%
ASCII
ValueCountFrequency (%)
6 1
100.0%

영문은행지점명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing6
Missing (%)20.0%
Memory size372.0 B
2023-12-10T23:05:18.924306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length9.7083333
Min length4

Characters and Unicode

Total characters233
Distinct characters37
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowGuro
2nd rowSongpadong
3rd rowMeeahdong
4th rowWest Sihwa
5th rowJuan
ValueCountFrequency (%)
west 3
 
10.0%
yeouido 2
 
6.7%
namdongkongdan 1
 
3.3%
south 1
 
3.3%
seongnaedong 1
 
3.3%
sinrimro 1
 
3.3%
donggyo 1
 
3.3%
majangdong 1
 
3.3%
bangbae 1
 
3.3%
wonhyoro 1
 
3.3%
Other values (17) 17
56.7%
2023-12-10T23:05:19.549178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 30
12.9%
n 28
 
12.0%
g 21
 
9.0%
a 19
 
8.2%
e 19
 
8.2%
d 11
 
4.7%
h 9
 
3.9%
i 9
 
3.9%
u 8
 
3.4%
6
 
2.6%
Other values (27) 73
31.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 196
84.1%
Uppercase Letter 30
 
12.9%
Space Separator 6
 
2.6%
Decimal Number 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 30
15.3%
n 28
14.3%
g 21
10.7%
a 19
9.7%
e 19
9.7%
d 11
 
5.6%
h 9
 
4.6%
i 9
 
4.6%
u 8
 
4.1%
s 6
 
3.1%
Other values (11) 36
18.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
16.7%
W 4
13.3%
Y 3
10.0%
J 3
10.0%
P 2
 
6.7%
V 2
 
6.7%
C 2
 
6.7%
M 2
 
6.7%
D 2
 
6.7%
B 1
 
3.3%
Other values (4) 4
13.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 226
97.0%
Common 7
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 30
13.3%
n 28
12.4%
g 21
 
9.3%
a 19
 
8.4%
e 19
 
8.4%
d 11
 
4.9%
h 9
 
4.0%
i 9
 
4.0%
u 8
 
3.5%
s 6
 
2.7%
Other values (25) 66
29.2%
Common
ValueCountFrequency (%)
6
85.7%
6 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 30
12.9%
n 28
 
12.0%
g 21
 
9.0%
a 19
 
8.2%
e 19
 
8.2%
d 11
 
4.7%
h 9
 
3.9%
i 9
 
3.9%
u 8
 
3.4%
6
 
2.6%
Other values (27) 73
31.3%

한글주요제품명
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2023-12-10T23:05:19.886850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length26
Mean length18
Min length4

Characters and Unicode

Total characters522
Distinct characters150
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row기계공구 제조
2nd row양궁케이스;악기케이스;낚시가방;가죽가방;봉제품 제조
3rd row잡화(벨트;장갑;의류부자재;악세사리) 무역
4th row황산알미늄;수산화알루미늄;황산;가성소다(90%);가성소다(70%);염화알루미늄;A-101;강화프라스틱 제조
5th row미키 마우스
ValueCountFrequency (%)
제조 7
 
11.5%
도매;무역 3
 
4.9%
도소매;무역 2
 
3.3%
무역 2
 
3.3%
전자부품 2
 
3.3%
도매 2
 
3.3%
기계공구 1
 
1.6%
서류함;책꽂이;연필깎이 1
 
1.6%
가전제품부품 1
 
1.6%
면직물 1
 
1.6%
Other values (39) 39
63.9%
2023-12-10T23:05:20.377446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
; 54
 
10.3%
32
 
6.1%
19
 
3.6%
15
 
2.9%
14
 
2.7%
13
 
2.5%
13
 
2.5%
11
 
2.1%
10
 
1.9%
10
 
1.9%
Other values (140) 331
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
77.6%
Other Punctuation 64
 
12.3%
Space Separator 32
 
6.1%
Decimal Number 7
 
1.3%
Open Punctuation 5
 
1.0%
Close Punctuation 5
 
1.0%
Uppercase Letter 3
 
0.6%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
4.7%
15
 
3.7%
14
 
3.5%
13
 
3.2%
13
 
3.2%
11
 
2.7%
10
 
2.5%
10
 
2.5%
9
 
2.2%
8
 
2.0%
Other values (127) 283
69.9%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
1 2
28.6%
9 1
 
14.3%
7 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
; 54
84.4%
/ 8
 
12.5%
% 2
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
77.6%
Common 114
 
21.8%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
4.7%
15
 
3.7%
14
 
3.5%
13
 
3.2%
13
 
3.2%
11
 
2.7%
10
 
2.5%
10
 
2.5%
9
 
2.2%
8
 
2.0%
Other values (127) 283
69.9%
Common
ValueCountFrequency (%)
; 54
47.4%
32
28.1%
/ 8
 
7.0%
( 5
 
4.4%
) 5
 
4.4%
0 3
 
2.6%
% 2
 
1.8%
1 2
 
1.8%
9 1
 
0.9%
- 1
 
0.9%
Latin
ValueCountFrequency (%)
A 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
77.6%
ASCII 117
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
; 54
46.2%
32
27.4%
/ 8
 
6.8%
( 5
 
4.3%
) 5
 
4.3%
0 3
 
2.6%
% 2
 
1.7%
A 2
 
1.7%
1 2
 
1.7%
9 1
 
0.9%
Other values (3) 3
 
2.6%
Hangul
ValueCountFrequency (%)
19
 
4.7%
15
 
3.7%
14
 
3.5%
13
 
3.2%
13
 
3.2%
11
 
2.7%
10
 
2.5%
10
 
2.5%
9
 
2.2%
8
 
2.0%
Other values (127) 283
69.9%

영문주요제품명
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing21
Missing (%)70.0%
Memory size372.0 B
2023-12-10T23:05:20.673784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length29
Mean length32
Min length4

Characters and Unicode

Total characters288
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowBelt
2nd rowAluminium Sulphate;Poly Alluminium Chloride;Unsaturated Polyenter Res-
3rd rowMicket Mouse
4th rowGravure Ink;Printing Ink
5th rowCosmetics Brush;Hair Brushes;Sponge Make Up Puffs
ValueCountFrequency (%)
woven 2
 
6.2%
belt 1
 
3.1%
up 1
 
3.1%
fabric;cotton 1
 
3.1%
100%nylon 1
 
3.1%
battery 1
 
3.1%
tube;cu-tube 1
 
3.1%
fuse;copper 1
 
3.1%
chip 1
 
3.1%
cornector 1
 
3.1%
Other values (21) 21
65.6%
2023-12-10T23:05:21.220829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
8.0%
e 21
 
7.3%
n 17
 
5.9%
i 16
 
5.6%
o 16
 
5.6%
r 14
 
4.9%
u 14
 
4.9%
t 12
 
4.2%
l 11
 
3.8%
s 11
 
3.8%
Other values (39) 133
46.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 189
65.6%
Uppercase Letter 59
 
20.5%
Space Separator 23
 
8.0%
Other Punctuation 12
 
4.2%
Decimal Number 3
 
1.0%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 21
11.1%
n 17
 
9.0%
i 16
 
8.5%
o 16
 
8.5%
r 14
 
7.4%
u 14
 
7.4%
t 12
 
6.3%
l 11
 
5.8%
s 11
 
5.8%
a 9
 
4.8%
Other values (12) 48
25.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
11.9%
B 6
 
10.2%
T 5
 
8.5%
M 4
 
6.8%
U 4
 
6.8%
E 4
 
6.8%
P 4
 
6.8%
I 3
 
5.1%
A 3
 
5.1%
D 3
 
5.1%
Other values (11) 16
27.1%
Other Punctuation
ValueCountFrequency (%)
; 11
91.7%
% 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 248
86.1%
Common 40
 
13.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 21
 
8.5%
n 17
 
6.9%
i 16
 
6.5%
o 16
 
6.5%
r 14
 
5.6%
u 14
 
5.6%
t 12
 
4.8%
l 11
 
4.4%
s 11
 
4.4%
a 9
 
3.6%
Other values (33) 107
43.1%
Common
ValueCountFrequency (%)
23
57.5%
; 11
27.5%
0 2
 
5.0%
- 2
 
5.0%
1 1
 
2.5%
% 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
 
8.0%
e 21
 
7.3%
n 17
 
5.9%
i 16
 
5.6%
o 16
 
5.6%
r 14
 
4.9%
u 14
 
4.9%
t 12
 
4.2%
l 11
 
3.8%
s 11
 
3.8%
Other values (39) 133
46.2%

홈페이지URL
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
-
13 
<NA>
www.kkumi-nara.com
 
1
http://www.choys.co.kr
 
1
www.cats-printing.co.kr
 
1
Other values (6)

Length

Max length23
Median length22
Mean length7.1333333
Min length1

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row-
2nd row<NA>
3rd row-
4th row<NA>
5th rowwww.kkumi-nara.com

Common Values

ValueCountFrequency (%)
- 13
43.3%
<NA> 8
26.7%
www.kkumi-nara.com 1
 
3.3%
http://www.choys.co.kr 1
 
3.3%
www.cats-printing.co.kr 1
 
3.3%
www.gasmarket.co.kr 1
 
3.3%
www.chengsong.co.kr 1
 
3.3%
www.kapamax.co.kr 1
 
3.3%
www.captopia.co.kr 1
 
3.3%
www.knj-eng.co.kr 1
 
3.3%

Length

2023-12-10T23:05:21.457779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13
43.3%
na 8
26.7%
www.kkumi-nara.com 1
 
3.3%
http://www.choys.co.kr 1
 
3.3%
www.cats-printing.co.kr 1
 
3.3%
www.gasmarket.co.kr 1
 
3.3%
www.chengsong.co.kr 1
 
3.3%
www.kapamax.co.kr 1
 
3.3%
www.captopia.co.kr 1
 
3.3%
www.knj-eng.co.kr 1
 
3.3%

본사한글주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:22.008551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length21
Min length16

Characters and Unicode

Total characters630
Distinct characters103
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 row서울 구로구 신도림로15길 20
2nd row경기 성남시 수정구 헌릉로890번길 47-7; 101호
3rd row서울 강북구 도봉로30길 48
4th row인천 남동구 은봉로75번길 67
5th row경기 광명시 오리로949번길 9
ValueCountFrequency (%)
서울 17
 
11.3%
경기 10
 
6.7%
인천 3
 
2.0%
서초구 3
 
2.0%
성남시 2
 
1.3%
송파구 2
 
1.3%
16 2
 
1.3%
101호 2
 
1.3%
영등포구 2
 
1.3%
은행로 2
 
1.3%
Other values (100) 105
70.0%
2023-12-10T23:05:22.734996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
19.0%
1 31
 
4.9%
30
 
4.8%
26
 
4.1%
24
 
3.8%
3 22
 
3.5%
0 22
 
3.5%
19
 
3.0%
17
 
2.7%
; 16
 
2.5%
Other values (93) 303
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
51.9%
Decimal Number 162
25.7%
Space Separator 120
 
19.0%
Other Punctuation 16
 
2.5%
Dash Punctuation 4
 
0.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
9.2%
26
 
8.0%
24
 
7.3%
19
 
5.8%
17
 
5.2%
12
 
3.7%
10
 
3.1%
10
 
3.1%
10
 
3.1%
10
 
3.1%
Other values (79) 159
48.6%
Decimal Number
ValueCountFrequency (%)
1 31
19.1%
3 22
13.6%
0 22
13.6%
9 15
9.3%
2 15
9.3%
5 13
8.0%
4 13
8.0%
7 12
 
7.4%
6 11
 
6.8%
8 8
 
4.9%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
; 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
51.9%
Common 302
47.9%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
9.2%
26
 
8.0%
24
 
7.3%
19
 
5.8%
17
 
5.2%
12
 
3.7%
10
 
3.1%
10
 
3.1%
10
 
3.1%
10
 
3.1%
Other values (79) 159
48.6%
Common
ValueCountFrequency (%)
120
39.7%
1 31
 
10.3%
3 22
 
7.3%
0 22
 
7.3%
; 16
 
5.3%
9 15
 
5.0%
2 15
 
5.0%
5 13
 
4.3%
4 13
 
4.3%
7 12
 
4.0%
Other values (3) 23
 
7.6%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
51.9%
ASCII 303
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
39.6%
1 31
 
10.2%
3 22
 
7.3%
0 22
 
7.3%
; 16
 
5.3%
9 15
 
5.0%
2 15
 
5.0%
5 13
 
4.3%
4 13
 
4.3%
7 12
 
4.0%
Other values (4) 24
 
7.9%
Hangul
ValueCountFrequency (%)
30
 
9.2%
26
 
8.0%
24
 
7.3%
19
 
5.8%
17
 
5.2%
12
 
3.7%
10
 
3.1%
10
 
3.1%
10
 
3.1%
10
 
3.1%
Other values (79) 159
48.6%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:05:23.258846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length49
Mean length42.1
Min length29

Characters and Unicode

Total characters1263
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st row20 Sindorim-ro 15-gil Guro-gu Seoul
2nd row47-7; Heolleung-ro 890beon-gil Sujeong-gu Seongnam-si Gyeonggi
3rd row48 Dobong-ro 30-gil Gangbuk-gu Seoul
4th row67; Eunbong-ro 75beon-gil Namdong-gu Incheon
5th row9 Ori-ro 949beon-gil Gwangmyeong-si Gyeonggi
ValueCountFrequency (%)
seoul 17
 
11.4%
gyeonggi 10
 
6.7%
seocho-gu 3
 
2.0%
incheon 3
 
2.0%
58 2
 
1.3%
namdong-gu 2
 
1.3%
eunhaeng-ro 2
 
1.3%
songpa-gu 2
 
1.3%
anyang-si 2
 
1.3%
dongan-gu 2
 
1.3%
Other values (101) 104
69.8%
2023-12-10T23:05:24.030222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 134
 
10.6%
g 123
 
9.7%
119
 
9.4%
n 114
 
9.0%
- 92
 
7.3%
e 79
 
6.3%
u 64
 
5.1%
i 53
 
4.2%
a 49
 
3.9%
l 43
 
3.4%
Other values (40) 393
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 821
65.0%
Space Separator 119
 
9.4%
Decimal Number 113
 
8.9%
Uppercase Letter 100
 
7.9%
Dash Punctuation 92
 
7.3%
Other Punctuation 18
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 134
16.3%
g 123
15.0%
n 114
13.9%
e 79
9.6%
u 64
7.8%
i 53
 
6.5%
a 49
 
6.0%
l 43
 
5.2%
r 32
 
3.9%
s 20
 
2.4%
Other values (10) 110
13.4%
Uppercase Letter
ValueCountFrequency (%)
S 33
33.0%
G 20
20.0%
N 6
 
6.0%
Y 5
 
5.0%
H 5
 
5.0%
D 4
 
4.0%
E 4
 
4.0%
C 4
 
4.0%
J 3
 
3.0%
A 3
 
3.0%
Other values (7) 13
 
13.0%
Decimal Number
ValueCountFrequency (%)
1 15
13.3%
3 14
12.4%
9 14
12.4%
0 13
11.5%
2 12
10.6%
7 11
9.7%
5 10
8.8%
4 10
8.8%
6 9
8.0%
8 5
 
4.4%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Other Punctuation
ValueCountFrequency (%)
; 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 921
72.9%
Common 342
 
27.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 134
14.5%
g 123
13.4%
n 114
12.4%
e 79
8.6%
u 64
 
6.9%
i 53
 
5.8%
a 49
 
5.3%
l 43
 
4.7%
S 33
 
3.6%
r 32
 
3.5%
Other values (27) 197
21.4%
Common
ValueCountFrequency (%)
119
34.8%
- 92
26.9%
; 18
 
5.3%
1 15
 
4.4%
3 14
 
4.1%
9 14
 
4.1%
0 13
 
3.8%
2 12
 
3.5%
7 11
 
3.2%
5 10
 
2.9%
Other values (3) 24
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 134
 
10.6%
g 123
 
9.7%
119
 
9.4%
n 114
 
9.0%
- 92
 
7.3%
e 79
 
6.3%
u 64
 
5.1%
i 53
 
4.2%
a 49
 
3.9%
l 43
 
3.4%
Other values (40) 393
31.1%

본사우편번호
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10376.633
Minimum1162
Maximum22138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:05:24.301500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1162
5-th percentile2518.35
Q15914.25
median7947
Q314211.75
95-th percentile21630.1
Maximum22138
Range20976
Interquartile range (IQR)8297.5

Descriptive statistics

Standard deviation6114.4444
Coefficient of variation (CV)0.58925128
Kurtosis-0.84677269
Mean10376.633
Median Absolute Deviation (MAD)4203.5
Skewness0.53332335
Sum311299
Variance37386431
MonotonicityNot monotonic
2023-12-10T23:05:24.857584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7241 2
 
6.7%
8203 1
 
3.3%
13113 1
 
3.3%
17558 1
 
3.3%
16072 1
 
3.3%
8828 1
 
3.3%
7691 1
 
3.3%
4756 1
 
3.3%
6588 1
 
3.3%
4373 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1162 1
3.3%
2031 1
3.3%
3114 1
3.3%
4373 1
3.3%
4756 1
3.3%
5269 1
3.3%
5770 1
3.3%
5836 1
3.3%
6149 1
3.3%
6534 1
3.3%
ValueCountFrequency (%)
22138 1
3.3%
21631 1
3.3%
21629 1
3.3%
18543 1
3.3%
17558 1
3.3%
17120 1
3.3%
16072 1
3.3%
14263 1
3.3%
14058 1
3.3%
14056 1
3.3%

본사전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

본사팩스번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2014-08-05 00:00:00
Maximum2014-09-11 00:00:00
2023-12-10T23:05:25.018395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:25.185236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2014-08-05 00:00:00
Maximum2021-09-06 00:00:00
2023-12-10T23:05:25.374174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:25.543042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-07-20 00:28:00
Maximum2017-07-23 22:19:00
2023-12-10T23:05:25.724442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:25.921032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-07-24 02:59:00
Maximum2021-10-18 21:54:00
2023-12-10T23:05:26.092835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:26.288278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:05:26.478861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2017-07-20 00:00:00
Maximum2017-07-23 00:00:00
2023-12-10T23:05:26.675647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:05:26.842240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Sample

기업정보번호사업자등록번호법인등록번호기업주체명기업규모명상장시장명관리종목여부외부감사여부기업존속여부재무구분명결산월창업일자설립일자개업일자상장일자종업원기준일자종업원수한글업체명영문업체명약식업체명한글대표자명영문대표자명폐쇄구분명한글은행지점명영문은행지점명한글주요제품명영문주요제품명홈페이지URL본사한글주소본사영문주소본사우편번호본사전화번호본사팩스번호자료작성일자자료수정일자등록일시수정일시삭제여부데이터기준일자
015113-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1977-03-01<NA>2020-04-037천용특수인물Chunryong Co.천용특수인물변**Byun*미대상구로Guro기계공구 제조<NA>-서울 구로구 신도림로15길 2020 Sindorim-ro 15-gil Guro-gu Seoul8203<NA><NA>2014-08-052014-08-052017-07-20 00:282017-08-29 03:02N2017-07-20
117219-**-*****11011-********일반법인중소기업대상아님NNY제조121989-06-10<NA>1999-08-01<NA>2015-12-036(주)천우무공CHON WOO CORPORATION천우무공정**Jeong*정상송파동Songpadong양궁케이스;악기케이스;낚시가방;가죽가방;봉제품 제조<NA><NA>경기 성남시 수정구 헌릉로890번길 47-7; 101호47-7; Heolleung-ro 890beon-gil Sujeong-gu Seongnam-si Gyeonggi13113<NA><NA>2014-08-182021-09-062017-07-23 19:012021-10-18 21:54N2017-07-23
240210-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1980-04-09<NA>2020-06-0112천일실업Chunil Enterprise Co.천일실업김**Kim*미대상미아동Meeahdong잡화(벨트;장갑;의류부자재;악세사리) 무역Belt-서울 강북구 도봉로30길 4848 Dobong-ro 30-gil Gangbuk-gu Seoul1162<NA><NA>2014-08-052014-08-192017-07-20 00:282017-08-29 03:02N2017-07-20
343104-**-*****11011-********일반법인중소기업대상아님NNY제조12<NA><NA>1961-07-04<NA>2017-12-3124연합화학공업(주)Yunhap Chemical Ind. Co.;Ltd.연합화학공업장**Jang*정상남동공단<NA>황산알미늄;수산화알루미늄;황산;가성소다(90%);가성소다(70%);염화알루미늄;A-101;강화프라스틱 제조Aluminium Sulphate;Poly Alluminium Chloride;Unsaturated Polyenter Res-<NA>인천 남동구 은봉로75번길 6767; Eunbong-ro 75beon-gil Namdong-gu Incheon21631<NA><NA>2014-08-052018-11-052017-07-20 00:282021-10-16 20:05N2017-07-20
449133-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1990-01-01<NA><NA>14청양토이Chongyang Toy Co.청양토이박**Park*미대상광명<NA>미키 마우스Micket Mousewww.kkumi-nara.com경기 광명시 오리로949번길 99 Ori-ro 949beon-gil Gwangmyeong-si Gyeonggi14263<NA><NA>2014-08-052014-08-052017-07-20 00:282017-08-29 03:02N2017-07-20
573212-**-*****<NA>개인중소기업대상아님NNY제조0<NA><NA>1986-06-30<NA>2020-03-012청우실업Chungwoo Industries Co.청우실업박**Park*미대상사강정역<NA>주방용품;가전제품 도매;제조<NA>-서울 강동구 동남로71길 20-9; 9층20-9; Dongnam-ro 71-gil Gangdong-gu Seoul5269<NA><NA>2014-08-052017-02-022017-07-20 00:292017-07-24 02:59N2017-07-20
683134-**-*****13551-********일반법인중소기업대상아님NYY제조121981-10-122001-08-092001-07-01<NA>2020-12-3119청우화학(주)CHEONGWOO CHEMICAL CO.;LTD.청우화학노******No*정상서시화West Sihwa인쇄잉크(포장지잉크) 제조Gravure Ink;Printing Ink<NA>경기 화성시 마도면 청원산단5길 149149; Cheongwonsandan 5-gil Mado-myeon Hwaseong-si Gyeonggi18543<NA><NA>2014-08-052021-03-172017-07-20 00:292021-10-16 20:06N2017-07-20
784215-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1993-11-01<NA><NA>2초이스상사Choi's Co.초이스상사최**Choi*미대상삼성동<NA><NA><NA><NA>서울 서초구 논현로 29; 4층29 Nonhyeon-ro Seocho-gu Seoul6783<NA><NA>2014-08-052014-08-052017-07-20 00:292017-08-29 03:02N2017-07-20
893131-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1992-07-01<NA>2020-03-014천지물산Chunji Trading Co.천지물산이**Lee*미대상주안Juan비금속광물 도매<NA>-인천 남구 한나루로 604; 1503호604 Hannaru-ro Nam-gu Incheon22138<NA><NA>2014-08-052014-08-052017-07-20 00:292017-07-24 02:59N2017-07-20
9107129-**-*****13111-********일반법인중소기업대상아님NNY제조121986-06-191996-08-161996-08-16<NA>2021-08-237(주)쵸이스상사ChoysIntl.Corp.Ltd.쵸이스상사최**Choe*정상분당테크노파크<NA>화장도구;신변잡화;플라스틱일반성형제품 제조/화장품 도소매;무역Cosmetics Brush;Hair Brushes;Sponge Make Up Puffshttp://www.choys.co.kr경기 성남시 분당구 판교로 700; E동 903호E-dong; 903-ho; 700; Pangyo-ro Bundang-gu Seongnam-si Gyeonggi13516<NA><NA>2014-08-052021-08-232017-07-20 00:292021-10-16 20:06N2017-07-20
기업정보번호사업자등록번호법인등록번호기업주체명기업규모명상장시장명관리종목여부외부감사여부기업존속여부재무구분명결산월창업일자설립일자개업일자상장일자종업원기준일자종업원수한글업체명영문업체명약식업체명한글대표자명영문대표자명폐쇄구분명한글은행지점명영문은행지점명한글주요제품명영문주요제품명홈페이지URL본사한글주소본사영문주소본사우편번호본사전화번호본사팩스번호자료작성일자자료수정일자등록일시수정일시삭제여부데이터기준일자
20227213-**-*****11011-********일반법인중소기업대상아님NNY제조121987-10-101995-07-011995-08-01<NA>2020-12-2940(주)카파맥스Kapamax Co.;Ltd.카파맥스김**Kim*정상양재Yangjae서류함;책꽂이;연필깎이 제조<NA>www.kapamax.co.kr경기 용인시 처인구 남사면 처인성로 487487; Cheoinseong-ro Namsa-myeon Cheoin-gu Yongin-si Gyeonggi17120<NA><NA>2014-08-052021-09-032017-07-20 00:292021-10-16 20:06N2017-07-20
21229106-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1992-01-04<NA>2020-06-014케이시인터내셔날K.C International Co.케이시인터내셔날정**Jeong*미대상원효로Wonhyoro가전제품부품 도매;무역<NA>-서울 용산구 청파로 40; 1714호40 Cheongpa-ro Yongsan-gu Seoul4373<NA><NA>2014-08-052014-08-052017-07-20 00:292017-08-29 03:02N2017-07-20
22243114-**-*****<NA>개인중소기업대상아님NNY제조0<NA><NA>1999-06-10<NA>2020-03-121코방상사Kobang Co.코방상사방**Bang*미대상방배Bangbae면직물 도매;오퍼<NA>-서울 서초구 서초대로29길 10-1910-19 Seocho-daero 29-gil Seocho-gu Seoul6588<NA><NA>2014-08-052014-08-052017-07-20 00:292017-08-29 03:02N2017-07-20
23269206-**-*****11011-********일반법인중소기업대상아님NNY제조121994-03-01<NA>1996-05-02<NA>2017-01-168(주)케이원인터내셔날K'WON INTERNATIONAL CO.;LTD.케이원인터내셔날이**Lee*정상마장동Majangdong밧데리 제조/무역/부동산 임대BATTERY<NA>서울 성동구 마장로35나길 3737; Majang-ro 35na-gil Seongdong-gu Seoul4756<NA><NA>2014-08-052021-03-192017-07-20 00:292021-10-16 20:06N2017-07-20
24274116-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1987-01-05<NA>2020-06-012케이앤드씨인터내셔날K & C International Co.케이앤드씨인터내셔날김**Kim*미대상여의도Yeouido알미늄제품 수출입<NA>-서울 영등포구 은행로 58; 1301호58 Eunhaeng-ro Yeongdeungpo-gu Seoul7241<NA><NA>2014-08-052014-08-052017-07-20 00:292017-08-29 03:02N2017-07-20
25276105-**-*****11011-********일반법인중소기업대상아님NNY제조12<NA><NA>1993-05-03<NA>2020-06-012케이월드통상(주)K-World Corp.케이월드통상진**Jin*폐쇄동교Donggyo나이론;면섬유 도매;무역100%Nylon Woven Fabric;Cotton Woven Fabric-서울 강서구 강서로 266; 122동 1604호266; Gangseo-ro Gangseo-gu Seoul7691<NA><NA>2014-08-052016-09-122017-07-20 00:292017-12-15 20:02N2017-07-20
26285112-**-*****11011-********일반법인중소기업대상아님NNY제조121991-06-01<NA>1995-05-10<NA>2016-04-1816(주)캡토피아Captopia Co.;Ltd.캡토피아김**Kim*정상신림로Sinrimro모자;화섬직;의류;가방 도소매;수출입;대리;제조<NA>www.captopia.co.kr서울 관악구 신림로36길 2222; Sillim-ro 36-gil Gwanak-gu Seoul8828<NA><NA>2014-08-052017-04-182017-07-20 00:292019-05-15 20:05N2017-07-20
27286209-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1993-05-01<NA>2020-04-012코다상사Coda Corp.코다상사박**Park*미대상서여의도West Yeouido주방용품 도소매;무역<NA>-서울 영등포구 은행로 58; 808호58 Eunhaeng-ro Yeongdeungpo-gu Seoul7241<NA><NA>2014-08-052014-08-052017-07-20 00:292017-08-29 03:02N2017-07-20
28290219-**-*****<NA>개인중소기업대상아님NNY제조12<NA><NA>1992-07-25<NA>2015-03-0620KNJ엔지니어링KNJ ENGIEERING INC.KNJ엔지니어링김**Kim*미대상잠실Jamsil대기오염측정기;일반환경대기;실내공기시료채취기기;상시감시시스템 제조;수출입/소프트웨어 개발;공급;학술연구용역<NA>www.knj-eng.co.kr경기 의왕시 오전공업길 19; 5층 506호19; Ojeongongeop-gil Uiwang-si Gyeonggi16072<NA><NA>2014-09-112016-12-132017-07-23 22:192017-08-29 06:21N2017-07-23
29293229-**-*****11011-********일반법인중소기업대상아님NNY제조121993-05-111997-10-091997-10-01<NA>2017-05-1732케이제이테크노(주)KJ Techno Co.;Ltd.케이제이테크노주**Ju*정상평택<NA>자동차부품;공작기계;철강재 가공;무역;도매/부동산 임대/오퍼;A/S<NA>www.kjtechno.com경기 안성시 공도읍 신두만곡로 173173; Sindumangok-ro Gongdo-eup Anseong-si Gyeonggi17558<NA><NA>2014-08-052021-09-032017-07-20 00:292021-10-16 20:06N2017-07-20