Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells22261
Missing cells (%)15.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory121.0 B

Variable types

Unsupported1
Categorical3
Text10

Dataset

Description본 디렉토리는 해외진출기업 전수를 수록한 것이 아니며, 정보제공에 동의 의사를 표하는 기업에 한해 수록된 자료입니다. 조사시점은 2022년 7~9월이나, 기업의 요청에 따른 추가 등재 및 철수 후 삭제를 반영하고 있습니다.
URLhttps://www.data.go.kr/data/15085722/fileData.do

Alerts

Unnamed: 0 has 10000 (100.0%) missing valuesMissing
기업명(중문) has 8002 (80.0%) missing valuesMissing
모기업명 has 4258 (42.6%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 09:23:09.540217
Analysis finished2023-12-12 09:23:13.413139
Duration3.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

지역
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동남아대양주
5065 
중국 (홍콩, 대만 포함)
1998 
유럽
712 
북미
627 
일본
 
394
Other values (5)
1204 

Length

Max length14
Median length6
Mean length6.5261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동남아대양주
2nd row동남아대양주
3rd row동남아대양주
4th row동남아대양주
5th row중국 (홍콩, 대만 포함)

Common Values

ValueCountFrequency (%)
동남아대양주 5065
50.6%
중국 (홍콩, 대만 포함) 1998
 
20.0%
유럽 712
 
7.1%
북미 627
 
6.3%
일본 394
 
3.9%
서남아 385
 
3.9%
CIS 290
 
2.9%
중남미 240
 
2.4%
중동 234
 
2.3%
아프리카 55
 
0.5%

Length

2023-12-12T18:23:13.484242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:23:13.611671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동남아대양주 5065
31.7%
중국 1998
 
12.5%
홍콩 1998
 
12.5%
대만 1998
 
12.5%
포함 1998
 
12.5%
유럽 712
 
4.5%
북미 627
 
3.9%
일본 394
 
2.5%
서남아 385
 
2.4%
cis 290
 
1.8%
Other values (3) 529
 
3.3%
Distinct85
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:13.867266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length2.9612
Min length2

Characters and Unicode

Total characters29612
Distinct characters122
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row베트남
2nd row베트남
3rd row베트남
4th row필리핀
5th row중국
ValueCountFrequency (%)
베트남 3174
31.7%
중국 1833
18.3%
인도네시아 886
 
8.9%
미국 598
 
6.0%
일본 394
 
3.9%
태국 310
 
3.1%
인도 245
 
2.5%
말레이시아 176
 
1.8%
필리핀 153
 
1.5%
러시아 139
 
1.4%
Other values (75) 2092
20.9%
2023-12-12T18:23:14.276141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3296
 
11.1%
3237
 
10.9%
3190
 
10.8%
2845
 
9.6%
1833
 
6.2%
1548
 
5.2%
1384
 
4.7%
1156
 
3.9%
1142
 
3.9%
927
 
3.1%
Other values (112) 9054
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29612
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3296
 
11.1%
3237
 
10.9%
3190
 
10.8%
2845
 
9.6%
1833
 
6.2%
1548
 
5.2%
1384
 
4.7%
1156
 
3.9%
1142
 
3.9%
927
 
3.1%
Other values (112) 9054
30.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29612
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3296
 
11.1%
3237
 
10.9%
3190
 
10.8%
2845
 
9.6%
1833
 
6.2%
1548
 
5.2%
1384
 
4.7%
1156
 
3.9%
1142
 
3.9%
927
 
3.1%
Other values (112) 9054
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29612
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3296
 
11.1%
3237
 
10.9%
3190
 
10.8%
2845
 
9.6%
1833
 
6.2%
1548
 
5.2%
1384
 
4.7%
1156
 
3.9%
1142
 
3.9%
927
 
3.1%
Other values (112) 9054
30.6%
Distinct123
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:14.599097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.2467
Min length1

Characters and Unicode

Total characters32467
Distinct characters166
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호치민
2nd row호치민
3rd row하노이
4th row마닐라
5th row베이징
ValueCountFrequency (%)
호치민 1928
19.3%
하노이 1200
 
12.0%
자카르타 879
 
8.8%
상하이 554
 
5.5%
방콕 310
 
3.1%
베이징 310
 
3.1%
도쿄 310
 
3.1%
칭다오 303
 
3.0%
쿠알라룸푸르 176
 
1.8%
톈진 166
 
1.7%
Other values (113) 3864
38.6%
2023-12-12T18:23:15.113901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2593
 
8.0%
1950
 
6.0%
1932
 
6.0%
1928
 
5.9%
1817
 
5.6%
1584
 
4.9%
1226
 
3.8%
1168
 
3.6%
1074
 
3.3%
884
 
2.7%
Other values (156) 16311
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32467
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2593
 
8.0%
1950
 
6.0%
1932
 
6.0%
1928
 
5.9%
1817
 
5.6%
1584
 
4.9%
1226
 
3.8%
1168
 
3.6%
1074
 
3.3%
884
 
2.7%
Other values (156) 16311
50.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32467
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2593
 
8.0%
1950
 
6.0%
1932
 
6.0%
1928
 
5.9%
1817
 
5.6%
1584
 
4.9%
1226
 
3.8%
1168
 
3.6%
1074
 
3.3%
884
 
2.7%
Other values (156) 16311
50.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32467
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2593
 
8.0%
1950
 
6.0%
1932
 
6.0%
1928
 
5.9%
1817
 
5.6%
1584
 
4.9%
1226
 
3.8%
1168
 
3.6%
1074
 
3.3%
884
 
2.7%
Other values (156) 16311
50.2%
Distinct9589
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:15.531730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length8.8542
Min length1

Characters and Unicode

Total characters88542
Distinct characters933
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9358 ?
Unique (%)93.6%

Sample

1st row현대 씨앤에스
2nd row이멕스 솔루션
3rd row베트남 환경 법인
4th row파롤라 마리타임
5th row길태영성(북경)과기개발유한공사
ValueCountFrequency (%)
비나 398
 
2.4%
베트남 380
 
2.3%
법인 225
 
1.4%
주식회사 172
 
1.0%
인도네시아 120
 
0.7%
폴란드 76
 
0.5%
글로벌 65
 
0.4%
아메리카 60
 
0.4%
지점 52
 
0.3%
인터내셔널 51
 
0.3%
Other values (10021) 14819
90.3%
2023-12-12T18:23:16.093331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6417
 
7.2%
2669
 
3.0%
2653
 
3.0%
2597
 
2.9%
2394
 
2.7%
1912
 
2.2%
1685
 
1.9%
1651
 
1.9%
1438
 
1.6%
1364
 
1.5%
Other values (923) 63762
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74800
84.5%
Space Separator 6417
 
7.2%
Uppercase Letter 3533
 
4.0%
Close Punctuation 1124
 
1.3%
Open Punctuation 1124
 
1.3%
Lowercase Letter 993
 
1.1%
Other Punctuation 254
 
0.3%
Other Symbol 122
 
0.1%
Decimal Number 78
 
0.1%
Dash Punctuation 60
 
0.1%
Other values (2) 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2669
 
3.6%
2653
 
3.5%
2597
 
3.5%
2394
 
3.2%
1912
 
2.6%
1685
 
2.3%
1651
 
2.2%
1438
 
1.9%
1364
 
1.8%
1236
 
1.7%
Other values (843) 55201
73.8%
Uppercase Letter
ValueCountFrequency (%)
S 364
 
10.3%
C 288
 
8.2%
L 270
 
7.6%
A 260
 
7.4%
T 214
 
6.1%
G 205
 
5.8%
K 199
 
5.6%
N 190
 
5.4%
I 187
 
5.3%
E 186
 
5.3%
Other values (21) 1170
33.1%
Lowercase Letter
ValueCountFrequency (%)
a 113
11.4%
n 99
10.0%
i 89
 
9.0%
o 83
 
8.4%
t 79
 
8.0%
e 78
 
7.9%
r 67
 
6.7%
l 48
 
4.8%
d 45
 
4.5%
s 45
 
4.5%
Other values (14) 247
24.9%
Decimal Number
ValueCountFrequency (%)
1 23
29.5%
2 15
19.2%
4 15
19.2%
3 9
 
11.5%
0 5
 
6.4%
9 3
 
3.8%
6 3
 
3.8%
5 3
 
3.8%
7 1
 
1.3%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 104
40.9%
& 85
33.5%
/ 36
 
14.2%
, 25
 
9.8%
· 2
 
0.8%
: 2
 
0.8%
Other Symbol
ValueCountFrequency (%)
121
99.2%
1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 58
96.7%
2
 
3.3%
Space Separator
ValueCountFrequency (%)
6417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1124
100.0%
Control
ValueCountFrequency (%)
35
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74918
84.6%
Common 9095
 
10.3%
Latin 4517
 
5.1%
Cyrillic 9
 
< 0.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2669
 
3.6%
2653
 
3.5%
2597
 
3.5%
2394
 
3.2%
1912
 
2.6%
1685
 
2.2%
1651
 
2.2%
1438
 
1.9%
1364
 
1.8%
1236
 
1.6%
Other values (841) 55319
73.8%
Latin
ValueCountFrequency (%)
S 364
 
8.1%
C 288
 
6.4%
L 270
 
6.0%
A 260
 
5.8%
T 214
 
4.7%
G 205
 
4.5%
K 199
 
4.4%
N 190
 
4.2%
I 187
 
4.1%
E 186
 
4.1%
Other values (40) 2154
47.7%
Common
ValueCountFrequency (%)
6417
70.6%
) 1124
 
12.4%
( 1124
 
12.4%
. 104
 
1.1%
& 85
 
0.9%
- 58
 
0.6%
/ 36
 
0.4%
35
 
0.4%
, 25
 
0.3%
1 23
 
0.3%
Other values (14) 64
 
0.7%
Cyrillic
ValueCountFrequency (%)
О 3
33.3%
С 2
22.2%
Н 2
22.2%
Ф 1
 
11.1%
Г 1
 
11.1%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74797
84.5%
ASCII 13607
 
15.4%
None 123
 
0.1%
Cyrillic 9
 
< 0.1%
CJK 3
 
< 0.1%
Punctuation 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6417
47.2%
) 1124
 
8.3%
( 1124
 
8.3%
S 364
 
2.7%
C 288
 
2.1%
L 270
 
2.0%
A 260
 
1.9%
T 214
 
1.6%
G 205
 
1.5%
K 199
 
1.5%
Other values (61) 3142
23.1%
Hangul
ValueCountFrequency (%)
2669
 
3.6%
2653
 
3.5%
2597
 
3.5%
2394
 
3.2%
1912
 
2.6%
1685
 
2.3%
1651
 
2.2%
1438
 
1.9%
1364
 
1.8%
1236
 
1.7%
Other values (840) 55198
73.8%
None
ValueCountFrequency (%)
121
98.4%
· 2
 
1.6%
Cyrillic
ValueCountFrequency (%)
О 3
33.3%
С 2
22.2%
Н 2
22.2%
Ф 1
 
11.1%
Г 1
 
11.1%
Punctuation
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct9676
Distinct (%)96.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T18:23:16.529533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length67
Mean length25.277728
Min length2

Characters and Unicode

Total characters252752
Distinct characters129
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9452 ?
Unique (%)94.5%

Sample

1st rowHYUNDAI CNS CO., LTD.
2nd rowEMAX SOLUTIONS CO., LTD.
3rd rowVIETNAM ENDI. JSC CO
4th rowPAROLA MARITIME AGENCY CORPORATION
5th rowG-TECH INTERNATIONAL CO., LTD.
ValueCountFrequency (%)
ltd 4215
 
10.6%
co 3774
 
9.5%
vina 1002
 
2.5%
vietnam 553
 
1.4%
inc 433
 
1.1%
400
 
1.0%
office 327
 
0.8%
korea 304
 
0.8%
indonesia 291
 
0.7%
international 290
 
0.7%
Other values (8110) 28208
70.9%
2023-12-12T18:23:17.171758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29791
 
11.8%
N 19927
 
7.9%
A 19333
 
7.6%
I 17723
 
7.0%
O 17314
 
6.9%
E 15365
 
6.1%
T 15127
 
6.0%
C 12802
 
5.1%
L 11193
 
4.4%
S 10427
 
4.1%
Other values (119) 83750
33.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 205304
81.2%
Space Separator 29794
 
11.8%
Other Punctuation 15116
 
6.0%
Open Punctuation 860
 
0.3%
Close Punctuation 856
 
0.3%
Dash Punctuation 411
 
0.2%
Lowercase Letter 185
 
0.1%
Decimal Number 184
 
0.1%
Other Letter 22
 
< 0.1%
Final Punctuation 7
 
< 0.1%
Other values (6) 13
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 19927
 
9.7%
A 19333
 
9.4%
I 17723
 
8.6%
O 17314
 
8.4%
E 15365
 
7.5%
T 15127
 
7.4%
C 12802
 
6.2%
L 11193
 
5.5%
S 10427
 
5.1%
D 9614
 
4.7%
Other values (36) 56479
27.5%
Lowercase Letter
ValueCountFrequency (%)
a 25
13.5%
i 22
11.9%
o 19
10.3%
n 18
9.7%
h 17
9.2%
e 16
8.6%
t 15
8.1%
g 13
7.0%
r 9
 
4.9%
d 7
 
3.8%
Other values (11) 24
13.0%
Other Letter
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (10) 10
45.5%
Other Punctuation
ValueCountFrequency (%)
. 10393
68.8%
, 3900
 
25.8%
& 618
 
4.1%
/ 94
 
0.6%
' 65
 
0.4%
" 18
 
0.1%
? 16
 
0.1%
: 3
 
< 0.1%
· 2
 
< 0.1%
2
 
< 0.1%
Other values (4) 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 55
29.9%
2 48
26.1%
4 23
12.5%
3 18
 
9.8%
9 10
 
5.4%
0 9
 
4.9%
7 6
 
3.3%
5 6
 
3.3%
8 5
 
2.7%
6 4
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 857
99.7%
[ 2
 
0.2%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
29791
> 99.9%
  3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 854
99.8%
] 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 407
99.0%
4
 
1.0%
Control
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
> 1
50.0%
Final Punctuation
ValueCountFrequency (%)
7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̀ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 205489
81.3%
Common 47240
 
18.7%
Hangul 22
 
< 0.1%
Inherited 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 19927
 
9.7%
A 19333
 
9.4%
I 17723
 
8.6%
O 17314
 
8.4%
E 15365
 
7.5%
T 15127
 
7.4%
C 12802
 
6.2%
L 11193
 
5.4%
S 10427
 
5.1%
D 9614
 
4.7%
Other values (57) 56664
27.6%
Common
ValueCountFrequency (%)
29791
63.1%
. 10393
 
22.0%
, 3900
 
8.3%
( 857
 
1.8%
) 854
 
1.8%
& 618
 
1.3%
- 407
 
0.9%
/ 94
 
0.2%
' 65
 
0.1%
1 55
 
0.1%
Other values (31) 206
 
0.4%
Hangul
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (10) 10
45.5%
Inherited
ValueCountFrequency (%)
̀ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252655
> 99.9%
None 39
 
< 0.1%
Hangul 21
 
< 0.1%
Latin Ext Additional 20
 
< 0.1%
Punctuation 12
 
< 0.1%
Katakana 2
 
< 0.1%
Diacriticals 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29791
 
11.8%
N 19927
 
7.9%
A 19333
 
7.7%
I 17723
 
7.0%
O 17314
 
6.9%
E 15365
 
6.1%
T 15127
 
6.0%
C 12802
 
5.1%
L 11193
 
4.4%
S 10427
 
4.1%
Other values (69) 83653
33.1%
None
ValueCountFrequency (%)
Ô 9
23.1%
À 4
10.3%
Ñ 4
10.3%
É 4
10.3%
Đ 4
10.3%
  3
 
7.7%
· 2
 
5.1%
2
 
5.1%
Í 2
 
5.1%
Á 2
 
5.1%
Other values (3) 3
 
7.7%
Punctuation
ValueCountFrequency (%)
7
58.3%
4
33.3%
1
 
8.3%
Latin Ext Additional
ValueCountFrequency (%)
4
20.0%
3
15.0%
3
15.0%
3
15.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Katakana
ValueCountFrequency (%)
2
100.0%
Hangul
ValueCountFrequency (%)
2
 
9.5%
2
 
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (9) 9
42.9%
Diacriticals
ValueCountFrequency (%)
̀ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

기업명(중문)
Text

MISSING 

Distinct1912
Distinct (%)95.7%
Missing8002
Missing (%)80.0%
Memory size156.2 KiB
2023-12-12T18:23:17.443781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length12.363864
Min length1

Characters and Unicode

Total characters24703
Distinct characters1372
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1866 ?
Unique (%)93.4%

Sample

1st row吉泰永盛(北京)科技开发有限公司
2nd row上海洪斗贸易有限公司
3rd row太平洋金属(天津)有限公司
4th row威海成进皮革制品有限公司
5th row考力亚房地产经纪(上海)有限公司闵行分公司
ValueCountFrequency (%)
37
 
1.9%
上海三立汇众汽车零部件有限公司 4
 
0.2%
沈阳鲜明建材有限公司 3
 
0.2%
上海会明精密化学有限公司 3
 
0.2%
沈阳大熊科技有限公司 3
 
0.2%
沈阳太河家具有限公司 2
 
0.1%
上海珂同实业有限公司 2
 
0.1%
蔻思耐思(上海)化妆品有限公司 2
 
0.1%
沈阳大一布艺有限公司 2
 
0.1%
沈阳先景服装有限公司 2
 
0.1%
Other values (1902) 1938
97.0%
2023-12-12T18:23:17.886557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1927
 
7.8%
1913
 
7.7%
1797
 
7.3%
1788
 
7.2%
555
 
2.2%
( 495
 
2.0%
) 494
 
2.0%
488
 
2.0%
279
 
1.1%
269
 
1.1%
Other values (1362) 14698
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23284
94.3%
Open Punctuation 647
 
2.6%
Close Punctuation 647
 
2.6%
Uppercase Letter 58
 
0.2%
Other Punctuation 40
 
0.2%
Lowercase Letter 18
 
0.1%
Decimal Number 7
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1927
 
8.3%
1913
 
8.2%
1797
 
7.7%
1788
 
7.7%
555
 
2.4%
488
 
2.1%
279
 
1.2%
269
 
1.2%
256
 
1.1%
253
 
1.1%
Other values (1320) 13759
59.1%
Uppercase Letter
ValueCountFrequency (%)
G 8
13.8%
D 7
12.1%
L 7
12.1%
C 7
12.1%
K 6
10.3%
S 4
6.9%
N 3
 
5.2%
A 3
 
5.2%
H 2
 
3.4%
E 2
 
3.4%
Other values (8) 9
15.5%
Lowercase Letter
ValueCountFrequency (%)
k 3
16.7%
a 2
11.1%
m 2
11.1%
p 2
11.1%
s 2
11.1%
n 2
11.1%
o 1
 
5.6%
t 1
 
5.6%
e 1
 
5.6%
i 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
0 2
28.6%
3 1
 
14.3%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 37
92.5%
; 2
 
5.0%
& 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 495
76.5%
152
 
23.5%
Close Punctuation
ValueCountFrequency (%)
) 494
76.4%
153
 
23.6%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Space Separator
ValueCountFrequency (%)
  1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 23284
94.3%
Common 1343
 
5.4%
Latin 76
 
0.3%

Most frequent character per script

Han
ValueCountFrequency (%)
1927
 
8.3%
1913
 
8.2%
1797
 
7.7%
1788
 
7.7%
555
 
2.4%
488
 
2.1%
279
 
1.2%
269
 
1.2%
256
 
1.1%
253
 
1.1%
Other values (1320) 13759
59.1%
Latin
ValueCountFrequency (%)
G 8
 
10.5%
D 7
 
9.2%
L 7
 
9.2%
C 7
 
9.2%
K 6
 
7.9%
S 4
 
5.3%
k 3
 
3.9%
N 3
 
3.9%
A 3
 
3.9%
H 2
 
2.6%
Other values (19) 26
34.2%
Common
ValueCountFrequency (%)
( 495
36.9%
) 494
36.8%
153
 
11.4%
152
 
11.3%
. 37
 
2.8%
1 3
 
0.2%
0 2
 
0.1%
; 2
 
0.1%
_ 1
 
0.1%
& 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
CJK 23277
94.2%
ASCII 1113
 
4.5%
None 306
 
1.2%
CJK Compat Ideographs 7
 
< 0.1%

Most frequent character per block

CJK
ValueCountFrequency (%)
1927
 
8.3%
1913
 
8.2%
1797
 
7.7%
1788
 
7.7%
555
 
2.4%
488
 
2.1%
279
 
1.2%
269
 
1.2%
256
 
1.1%
253
 
1.1%
Other values (1316) 13752
59.1%
ASCII
ValueCountFrequency (%)
( 495
44.5%
) 494
44.4%
. 37
 
3.3%
G 8
 
0.7%
D 7
 
0.6%
L 7
 
0.6%
C 7
 
0.6%
K 6
 
0.5%
S 4
 
0.4%
k 3
 
0.3%
Other values (29) 45
 
4.0%
None
ValueCountFrequency (%)
153
50.0%
152
49.7%
  1
 
0.3%
CJK Compat Ideographs
ValueCountFrequency (%)
4
57.1%
1
 
14.3%
1
 
14.3%
1
 
14.3%

주소
Text

Distinct9768
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:18.379976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length203
Median length141
Mean length65.5935
Min length1

Characters and Unicode

Total characters655935
Distinct characters1095
Distinct categories21 ?
Distinct scripts8 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9610 ?
Unique (%)96.1%

Sample

1st row7TH FL., AGRTEX BLD, 58 VO VAN TAN ST., VO THI SAU WARD, DIST. 3, HCMC
2nd row1212B, 12FL., DIAMOND PLAZA, 34 LE DUAN ST., DIST. 1, HCMC
3rd rowPHO DAU, TAN QUANG, VAN LAM HUNG YEN, VIETNAM
4th rowPAROLA HOUSE, 1582 COPERNICO STREET, BARANGAY SAN ISIDRO, PAROLA HOUSE
5th row1003, SOUTH DISTRICT, 9F, 122ND FLOOR, NANHU DONGYUAN, CHAOYANG DISTRICT, BEIJING
ValueCountFrequency (%)
vietnam 1680
 
1.6%
road 1637
 
1.5%
district 1229
 
1.1%
dist 1209
 
1.1%
ward 1152
 
1.1%
city 1037
 
1.0%
china 935
 
0.9%
no 935
 
0.9%
1 909
 
0.8%
indonesia 874
 
0.8%
Other values (18044) 96232
89.2%
2023-12-12T18:23:19.160400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98543
 
15.0%
A 52907
 
8.1%
N 47722
 
7.3%
I 37587
 
5.7%
, 35166
 
5.4%
O 30713
 
4.7%
T 29955
 
4.6%
E 26935
 
4.1%
H 24115
 
3.7%
R 22856
 
3.5%
Other values (1085) 249436
38.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 452824
69.0%
Space Separator 98571
 
15.0%
Decimal Number 46616
 
7.1%
Other Punctuation 45140
 
6.9%
Other Letter 8444
 
1.3%
Dash Punctuation 3408
 
0.5%
Open Punctuation 356
 
0.1%
Close Punctuation 355
 
0.1%
Math Symbol 58
 
< 0.1%
Connector Punctuation 45
 
< 0.1%
Other values (11) 118
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
516
 
6.1%
403
 
4.8%
389
 
4.6%
337
 
4.0%
186
 
2.2%
176
 
2.1%
163
 
1.9%
142
 
1.7%
广 141
 
1.7%
129
 
1.5%
Other values (867) 5862
69.4%
Uppercase Letter
ValueCountFrequency (%)
A 52907
 
11.7%
N 47722
 
10.5%
I 37587
 
8.3%
O 30713
 
6.8%
T 29955
 
6.6%
E 26935
 
5.9%
H 24115
 
5.3%
R 22856
 
5.0%
D 18001
 
4.0%
S 17991
 
4.0%
Other values (128) 144042
31.8%
Decimal Number
ValueCountFrequency (%)
1 10500
22.5%
0 6981
15.0%
2 6707
14.4%
3 4535
9.7%
5 3885
 
8.3%
4 3370
 
7.2%
6 2859
 
6.1%
7 2814
 
6.0%
8 2683
 
5.8%
9 2268
 
4.9%
Other values (8) 14
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 35166
77.9%
. 8758
 
19.4%
# 453
 
1.0%
; 164
 
0.4%
' 157
 
0.3%
? 153
 
0.3%
& 138
 
0.3%
: 102
 
0.2%
13
 
< 0.1%
10
 
< 0.1%
Other values (5) 26
 
0.1%
Nonspacing Mark
ValueCountFrequency (%)
12
41.4%
́ 6
20.7%
2
 
6.9%
2
 
6.9%
̣ 2
 
6.9%
2
 
6.9%
̃ 1
 
3.4%
1
 
3.4%
1
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 27
46.6%
| 8
 
13.8%
7
 
12.1%
< 7
 
12.1%
> 6
 
10.3%
2
 
3.4%
+ 1
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 3371
98.9%
34
 
1.0%
2
 
0.1%
1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
98543
> 99.9%
  26
 
< 0.1%
  2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 343
96.3%
12
 
3.4%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 342
96.3%
12
 
3.4%
1
 
0.3%
Letter Number
ValueCountFrequency (%)
6
75.0%
1
 
12.5%
1
 
12.5%
Control
ValueCountFrequency (%)
29
80.6%
7
 
19.4%
Final Punctuation
ValueCountFrequency (%)
11
84.6%
2
 
15.4%
Lowercase Letter
ValueCountFrequency (%)
ß 9
90.0%
x 1
 
10.0%
Format
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%
Other Symbol
ValueCountFrequency (%)
° 8
100.0%
Modifier Letter
ValueCountFrequency (%)
2
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 452143
68.9%
Common 194619
29.7%
Han 7856
 
1.2%
Cyrillic 704
 
0.1%
Hangul 484
 
0.1%
Thai 93
 
< 0.1%
Katakana 26
 
< 0.1%
Inherited 10
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
516
 
6.6%
403
 
5.1%
389
 
5.0%
337
 
4.3%
186
 
2.4%
176
 
2.2%
163
 
2.1%
142
 
1.8%
广 141
 
1.8%
129
 
1.6%
Other values (670) 5274
67.1%
Hangul
ValueCountFrequency (%)
25
 
5.2%
19
 
3.9%
14
 
2.9%
12
 
2.5%
11
 
2.3%
11
 
2.3%
9
 
1.9%
9
 
1.9%
9
 
1.9%
8
 
1.7%
Other values (149) 357
73.8%
Latin
ValueCountFrequency (%)
A 52907
 
11.7%
N 47722
 
10.6%
I 37587
 
8.3%
O 30713
 
6.8%
T 29955
 
6.6%
E 26935
 
6.0%
H 24115
 
5.3%
R 22856
 
5.1%
D 18001
 
4.0%
S 17991
 
4.0%
Other values (103) 143361
31.7%
Common
ValueCountFrequency (%)
98543
50.6%
, 35166
 
18.1%
1 10500
 
5.4%
. 8758
 
4.5%
0 6981
 
3.6%
2 6707
 
3.4%
3 4535
 
2.3%
5 3885
 
2.0%
- 3371
 
1.7%
4 3370
 
1.7%
Other values (55) 12803
 
6.6%
Cyrillic
ValueCountFrequency (%)
О 82
 
11.6%
А 62
 
8.8%
С 60
 
8.5%
Р 46
 
6.5%
К 46
 
6.5%
Е 41
 
5.8%
Н 38
 
5.4%
Л 36
 
5.1%
И 34
 
4.8%
Т 30
 
4.3%
Other values (21) 229
32.5%
Thai
ValueCountFrequency (%)
12
12.9%
11
 
11.8%
10
 
10.8%
7
 
7.5%
6
 
6.5%
4
 
4.3%
4
 
4.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
Other values (19) 29
31.2%
Katakana
ValueCountFrequency (%)
4
15.4%
4
15.4%
4
15.4%
2
7.7%
2
7.7%
2
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (4) 4
15.4%
Inherited
ValueCountFrequency (%)
́ 6
60.0%
̣ 2
 
20.0%
̃ 1
 
10.0%
1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 641703
97.8%
CJK 7856
 
1.2%
None 2678
 
0.4%
Latin Ext Additional 2300
 
0.4%
Cyrillic 704
 
0.1%
Hangul 482
 
0.1%
Thai 93
 
< 0.1%
Punctuation 59
 
< 0.1%
Katakana 28
 
< 0.1%
Diacriticals 9
 
< 0.1%
Other values (4) 23
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98543
15.4%
A 52907
 
8.2%
N 47722
 
7.4%
I 37587
 
5.9%
, 35166
 
5.5%
O 30713
 
4.8%
T 29955
 
4.7%
E 26935
 
4.2%
H 24115
 
3.8%
R 22856
 
3.6%
Other values (50) 235204
36.7%
CJK
ValueCountFrequency (%)
516
 
6.6%
403
 
5.1%
389
 
5.0%
337
 
4.3%
186
 
2.4%
176
 
2.2%
163
 
2.1%
142
 
1.8%
广 141
 
1.8%
129
 
1.6%
Other values (670) 5274
67.1%
None
ValueCountFrequency (%)
Ư 435
16.2%
À 372
13.9%
Đ 354
13.2%
Í 204
 
7.6%
Ô 139
 
5.2%
Ì 131
 
4.9%
 120
 
4.5%
Á 106
 
4.0%
Ơ 102
 
3.8%
Ú 79
 
2.9%
Other values (58) 636
23.7%
Latin Ext Additional
ValueCountFrequency (%)
390
17.0%
309
13.4%
305
13.3%
227
9.9%
173
 
7.5%
89
 
3.9%
84
 
3.7%
69
 
3.0%
66
 
2.9%
58
 
2.5%
Other values (27) 530
23.0%
Cyrillic
ValueCountFrequency (%)
О 82
 
11.6%
А 62
 
8.8%
С 60
 
8.5%
Р 46
 
6.5%
К 46
 
6.5%
Е 41
 
5.8%
Н 38
 
5.4%
Л 36
 
5.1%
И 34
 
4.8%
Т 30
 
4.3%
Other values (21) 229
32.5%
Punctuation
ValueCountFrequency (%)
34
57.6%
11
 
18.6%
6
 
10.2%
2
 
3.4%
2
 
3.4%
2
 
3.4%
1
 
1.7%
1
 
1.7%
Hangul
ValueCountFrequency (%)
25
 
5.2%
19
 
3.9%
14
 
2.9%
12
 
2.5%
11
 
2.3%
11
 
2.3%
9
 
1.9%
9
 
1.9%
9
 
1.9%
8
 
1.7%
Other values (148) 355
73.7%
Thai
ValueCountFrequency (%)
12
12.9%
11
 
11.8%
10
 
10.8%
7
 
7.5%
6
 
6.5%
4
 
4.3%
4
 
4.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
Other values (19) 29
31.2%
Math Operators
ValueCountFrequency (%)
7
100.0%
Arabic
ValueCountFrequency (%)
، 6
100.0%
Diacriticals
ValueCountFrequency (%)
́ 6
66.7%
̣ 2
 
22.2%
̃ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
6
75.0%
1
 
12.5%
1
 
12.5%
Katakana
ValueCountFrequency (%)
4
14.3%
4
14.3%
4
14.3%
2
 
7.1%
2
 
7.1%
2
 
7.1%
2
 
7.1%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (5) 5
17.9%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Distinct3018
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:19.619223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length5.4319
Min length1

Characters and Unicode

Total characters54319
Distinct characters65
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

Unique2046 ?
Unique (%)20.5%

Sample

1st row700000
2nd row700000
3rd row17000
4th row1234
5th row100102
ValueCountFrequency (%)
700000 1866
 
18.3%
10000 431
 
4.2%
283
 
2.8%
16000 158
 
1.6%
201103 113
 
1.1%
100000 88
 
0.9%
15710 79
 
0.8%
116000 76
 
0.7%
200000 75
 
0.7%
100102 62
 
0.6%
Other values (3098) 6959
68.3%
2023-12-12T18:23:20.528355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24353
44.8%
1 8324
 
15.3%
2 4096
 
7.5%
7 3493
 
6.4%
3 2691
 
5.0%
5 2616
 
4.8%
6 2477
 
4.6%
4 2293
 
4.2%
8 1335
 
2.5%
9 1236
 
2.3%
Other values (55) 1405
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52914
97.4%
Uppercase Letter 555
 
1.0%
Dash Punctuation 304
 
0.6%
Other Punctuation 296
 
0.5%
Space Separator 193
 
0.4%
Lowercase Letter 55
 
0.1%
Math Symbol 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 39
 
7.0%
T 35
 
6.3%
C 32
 
5.8%
W 30
 
5.4%
A 29
 
5.2%
H 29
 
5.2%
N 29
 
5.2%
B 27
 
4.9%
P 27
 
4.9%
R 26
 
4.7%
Other values (17) 252
45.4%
Lowercase Letter
ValueCountFrequency (%)
a 5
 
9.1%
o 5
 
9.1%
b 5
 
9.1%
i 5
 
9.1%
n 4
 
7.3%
h 3
 
5.5%
c 3
 
5.5%
t 3
 
5.5%
y 3
 
5.5%
e 3
 
5.5%
Other values (11) 16
29.1%
Decimal Number
ValueCountFrequency (%)
0 24353
46.0%
1 8324
 
15.7%
2 4096
 
7.7%
7 3493
 
6.6%
3 2691
 
5.1%
5 2616
 
4.9%
6 2477
 
4.7%
4 2293
 
4.3%
8 1335
 
2.5%
9 1236
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 291
98.3%
/ 4
 
1.4%
: 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 304
100.0%
Space Separator
ValueCountFrequency (%)
193
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53709
98.9%
Latin 608
 
1.1%
Cyrillic 2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 39
 
6.4%
T 35
 
5.8%
C 32
 
5.3%
W 30
 
4.9%
A 29
 
4.8%
H 29
 
4.8%
N 29
 
4.8%
B 27
 
4.4%
P 27
 
4.4%
R 26
 
4.3%
Other values (37) 305
50.2%
Common
ValueCountFrequency (%)
0 24353
45.3%
1 8324
 
15.5%
2 4096
 
7.6%
7 3493
 
6.5%
3 2691
 
5.0%
5 2616
 
4.9%
6 2477
 
4.6%
4 2293
 
4.3%
8 1335
 
2.5%
9 1236
 
2.3%
Other values (7) 795
 
1.5%
Cyrillic
ValueCountFrequency (%)
Х 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54317
> 99.9%
Cyrillic 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24353
44.8%
1 8324
 
15.3%
2 4096
 
7.5%
7 3493
 
6.4%
3 2691
 
5.0%
5 2616
 
4.8%
6 2477
 
4.6%
4 2293
 
4.2%
8 1335
 
2.5%
9 1236
 
2.3%
Other values (54) 1403
 
2.6%
Cyrillic
ValueCountFrequency (%)
Х 2
100.0%
Distinct270
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:20.733305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length4
Mean length5.1002
Min length1

Characters and Unicode

Total characters51002
Distinct characters246
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)2.0%

Sample

1st row서비스법인
2nd row판매법인
3rd row서비스법인
4th row기타(Manpower Agency)
5th row판매법인
ValueCountFrequency (%)
생산법인 3956
35.2%
서비스법인 2674
23.8%
판매법인 1846
16.4%
해외지사 1379
 
12.3%
연락사무소 501
 
4.5%
기타 194
 
1.7%
131
 
1.2%
기타(법인 69
 
0.6%
기타(현지법인 27
 
0.2%
기타(건설 16
 
0.1%
Other values (288) 452
 
4.0%
2023-12-12T18:23:21.148518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8645
17.0%
8639
16.9%
3963
 
7.8%
3958
 
7.8%
2698
 
5.3%
2696
 
5.3%
2685
 
5.3%
1946
 
3.8%
1848
 
3.6%
1848
 
3.6%
Other values (236) 12076
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47343
92.8%
Space Separator 1261
 
2.5%
Other Punctuation 1250
 
2.5%
Open Punctuation 409
 
0.8%
Close Punctuation 409
 
0.8%
Lowercase Letter 241
 
0.5%
Uppercase Letter 85
 
0.2%
Dash Punctuation 3
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8645
18.3%
8639
18.2%
3963
8.4%
3958
8.4%
2698
 
5.7%
2696
 
5.7%
2685
 
5.7%
1946
 
4.1%
1848
 
3.9%
1848
 
3.9%
Other values (187) 8417
17.8%
Lowercase Letter
ValueCountFrequency (%)
e 33
13.7%
r 22
9.1%
a 22
9.1%
n 20
 
8.3%
c 19
 
7.9%
i 19
 
7.9%
t 18
 
7.5%
o 17
 
7.1%
p 12
 
5.0%
s 9
 
3.7%
Other values (11) 50
20.7%
Uppercase Letter
ValueCountFrequency (%)
I 11
12.9%
R 8
 
9.4%
T 8
 
9.4%
A 7
 
8.2%
S 6
 
7.1%
M 6
 
7.1%
P 5
 
5.9%
C 5
 
5.9%
N 4
 
4.7%
E 4
 
4.7%
Other values (9) 21
24.7%
Other Punctuation
ValueCountFrequency (%)
, 1079
86.3%
. 142
 
11.4%
/ 24
 
1.9%
& 5
 
0.4%
Space Separator
ValueCountFrequency (%)
1261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47343
92.8%
Common 3333
 
6.5%
Latin 326
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8645
18.3%
8639
18.2%
3963
8.4%
3958
8.4%
2698
 
5.7%
2696
 
5.7%
2685
 
5.7%
1946
 
4.1%
1848
 
3.9%
1848
 
3.9%
Other values (187) 8417
17.8%
Latin
ValueCountFrequency (%)
e 33
 
10.1%
r 22
 
6.7%
a 22
 
6.7%
n 20
 
6.1%
c 19
 
5.8%
i 19
 
5.8%
t 18
 
5.5%
o 17
 
5.2%
p 12
 
3.7%
I 11
 
3.4%
Other values (30) 133
40.8%
Common
ValueCountFrequency (%)
1261
37.8%
, 1079
32.4%
( 409
 
12.3%
) 409
 
12.3%
. 142
 
4.3%
/ 24
 
0.7%
& 5
 
0.2%
- 3
 
0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47343
92.8%
ASCII 3659
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8645
18.3%
8639
18.2%
3963
8.4%
3958
8.4%
2698
 
5.7%
2696
 
5.7%
2685
 
5.7%
1946
 
4.1%
1848
 
3.9%
1848
 
3.9%
Other values (187) 8417
17.8%
ASCII
ValueCountFrequency (%)
1261
34.5%
, 1079
29.5%
( 409
 
11.2%
) 409
 
11.2%
. 142
 
3.9%
e 33
 
0.9%
/ 24
 
0.7%
r 22
 
0.6%
a 22
 
0.6%
n 20
 
0.5%
Other values (39) 238
 
6.5%
Distinct61
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:23:21.354001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length3.2799
Min length1

Characters and Unicode

Total characters32799
Distinct characters24
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)0.3%

Sample

1st row단독투자
2nd row단독투자
3rd row단독투자
4th row단독투자
5th row단독투자
ValueCountFrequency (%)
단독투자 6380
63.8%
2682
26.8%
합작투자 491
 
4.9%
합자투자 219
 
2.2%
m&a 47
 
0.5%
합작투자(50 30
 
0.3%
합작투자(60 16
 
0.2%
합작투자(70 14
 
0.1%
합작투자(49 13
 
0.1%
합작투자(40 10
 
0.1%
Other values (49) 98
 
1.0%
2023-12-12T18:23:21.785930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7473
22.8%
7254
22.1%
6380
19.5%
6380
19.5%
. 2682
 
8.2%
874
 
2.7%
655
 
2.0%
( 181
 
0.6%
) 181
 
0.6%
% 181
 
0.6%
Other values (14) 558
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29016
88.5%
Other Punctuation 2927
 
8.9%
Decimal Number 360
 
1.1%
Open Punctuation 181
 
0.6%
Close Punctuation 181
 
0.6%
Uppercase Letter 128
 
0.4%
Space Separator 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 99
27.5%
5 67
18.6%
9 51
14.2%
6 31
 
8.6%
4 26
 
7.2%
7 23
 
6.4%
1 23
 
6.4%
8 16
 
4.4%
2 16
 
4.4%
3 8
 
2.2%
Other Letter
ValueCountFrequency (%)
7473
25.8%
7254
25.0%
6380
22.0%
6380
22.0%
874
 
3.0%
655
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 2682
91.6%
% 181
 
6.2%
& 64
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
A 64
50.0%
M 64
50.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29016
88.5%
Common 3655
 
11.1%
Latin 128
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2682
73.4%
( 181
 
5.0%
) 181
 
5.0%
% 181
 
5.0%
0 99
 
2.7%
5 67
 
1.8%
& 64
 
1.8%
9 51
 
1.4%
6 31
 
0.8%
4 26
 
0.7%
Other values (6) 92
 
2.5%
Hangul
ValueCountFrequency (%)
7473
25.8%
7254
25.0%
6380
22.0%
6380
22.0%
874
 
3.0%
655
 
2.3%
Latin
ValueCountFrequency (%)
A 64
50.0%
M 64
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29016
88.5%
ASCII 3783
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7473
25.8%
7254
25.0%
6380
22.0%
6380
22.0%
874
 
3.0%
655
 
2.3%
ASCII
ValueCountFrequency (%)
. 2682
70.9%
( 181
 
4.8%
) 181
 
4.8%
% 181
 
4.8%
0 99
 
2.6%
5 67
 
1.8%
A 64
 
1.7%
& 64
 
1.7%
M 64
 
1.7%
9 51
 
1.3%
Other values (8) 149
 
3.9%

모기업명
Text

MISSING 

Distinct4005
Distinct (%)69.7%
Missing4258
Missing (%)42.6%
Memory size156.2 KiB
2023-12-12T18:23:22.168261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length51
Mean length6.8371648
Min length1

Characters and Unicode

Total characters39259
Distinct characters668
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3428 ?
Unique (%)59.7%

Sample

1st row현대SNS
2nd row지테크인터내셔날
3rd row두산에너빌리티
4th rowJB금융그룹
5th row한국의료기기공업협동조합
ValueCountFrequency (%)
주식회사 210
 
3.0%
181
 
2.5%
ltd 85
 
1.2%
co 73
 
1.0%
70
 
1.0%
삼성전자 51
 
0.7%
신한은행 48
 
0.7%
우리은행 33
 
0.5%
포스코 33
 
0.5%
lg전자 31
 
0.4%
Other values (4122) 6299
88.5%
2023-12-12T18:23:22.779066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1551
 
4.0%
1400
 
3.6%
) 1233
 
3.1%
( 1213
 
3.1%
1095
 
2.8%
898
 
2.3%
679
 
1.7%
533
 
1.4%
498
 
1.3%
C 471
 
1.2%
Other values (658) 29688
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27374
69.7%
Uppercase Letter 4523
 
11.5%
Lowercase Letter 2714
 
6.9%
Space Separator 1400
 
3.6%
Close Punctuation 1233
 
3.1%
Open Punctuation 1214
 
3.1%
Other Punctuation 603
 
1.5%
Other Symbol 132
 
0.3%
Decimal Number 33
 
0.1%
Dash Punctuation 18
 
< 0.1%
Other values (3) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1551
 
5.7%
1095
 
4.0%
898
 
3.3%
679
 
2.5%
533
 
1.9%
498
 
1.8%
434
 
1.6%
406
 
1.5%
400
 
1.5%
379
 
1.4%
Other values (582) 20501
74.9%
Uppercase Letter
ValueCountFrequency (%)
C 471
 
10.4%
S 437
 
9.7%
L 420
 
9.3%
O 321
 
7.1%
T 294
 
6.5%
G 263
 
5.8%
I 263
 
5.8%
K 235
 
5.2%
E 232
 
5.1%
N 231
 
5.1%
Other values (16) 1356
30.0%
Lowercase Letter
ValueCountFrequency (%)
o 351
12.9%
n 291
10.7%
a 248
9.1%
e 227
 
8.4%
i 220
 
8.1%
r 199
 
7.3%
t 195
 
7.2%
s 134
 
4.9%
l 133
 
4.9%
c 127
 
4.7%
Other values (16) 589
21.7%
Other Punctuation
ValueCountFrequency (%)
. 347
57.5%
/ 132
 
21.9%
, 59
 
9.8%
& 46
 
7.6%
? 14
 
2.3%
' 2
 
0.3%
% 1
 
0.2%
@ 1
 
0.2%
: 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 13
39.4%
1 9
27.3%
4 7
21.2%
3 2
 
6.1%
0 1
 
3.0%
6 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 1213
99.9%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
1400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1233
100.0%
Other Symbol
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Control
ValueCountFrequency (%)
10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27480
70.0%
Latin 7237
 
18.4%
Common 4516
 
11.5%
Han 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1551
 
5.6%
1095
 
4.0%
898
 
3.3%
679
 
2.5%
533
 
1.9%
498
 
1.8%
434
 
1.6%
406
 
1.5%
400
 
1.5%
379
 
1.4%
Other values (563) 20607
75.0%
Latin
ValueCountFrequency (%)
C 471
 
6.5%
S 437
 
6.0%
L 420
 
5.8%
o 351
 
4.9%
O 321
 
4.4%
T 294
 
4.1%
n 291
 
4.0%
G 263
 
3.6%
I 263
 
3.6%
a 248
 
3.4%
Other values (42) 3878
53.6%
Common
ValueCountFrequency (%)
1400
31.0%
) 1233
27.3%
( 1213
26.9%
. 347
 
7.7%
/ 132
 
2.9%
, 59
 
1.3%
& 46
 
1.0%
- 18
 
0.4%
? 14
 
0.3%
2 13
 
0.3%
Other values (13) 41
 
0.9%
Han
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (10) 10
38.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27348
69.7%
ASCII 11752
29.9%
None 133
 
0.3%
CJK 26
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1551
 
5.7%
1095
 
4.0%
898
 
3.3%
679
 
2.5%
533
 
1.9%
498
 
1.8%
434
 
1.6%
406
 
1.5%
400
 
1.5%
379
 
1.4%
Other values (562) 20475
74.9%
ASCII
ValueCountFrequency (%)
1400
 
11.9%
) 1233
 
10.5%
( 1213
 
10.3%
C 471
 
4.0%
S 437
 
3.7%
L 420
 
3.6%
o 351
 
3.0%
. 347
 
3.0%
O 321
 
2.7%
T 294
 
2.5%
Other values (64) 5265
44.8%
None
ValueCountFrequency (%)
132
99.2%
1
 
0.8%
CJK
ValueCountFrequency (%)
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (10) 10
38.5%

업종 대분류
Categorical

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
C. 제조업
4640 
G. 도매 및 소매업
1432 
H. 운수 및 창고업
658 
F. 건설업
596 
M. 전문, 과학 및 기술 서비스업
577 
Other values (18)
2097 

Length

Max length36
Median length6
Mean length9.5735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM. 전문, 과학 및 기술 서비스업
2nd rowG. 도매 및 소매업
3rd rowM. 전문, 과학 및 기술 서비스업
4th rowU. 국제 및 외국기관
5th rowG. 도매 및 소매업

Common Values

ValueCountFrequency (%)
C. 제조업 4640
46.4%
G. 도매 및 소매업 1432
 
14.3%
H. 운수 및 창고업 658
 
6.6%
F. 건설업 596
 
6.0%
M. 전문, 과학 및 기술 서비스업 577
 
5.8%
K. 금융 및 보험업 376
 
3.8%
J. 정보통신업 311
 
3.1%
. 191
 
1.9%
N. 사업시설 관리, 사업 지원 및 임대 서비스업 181
 
1.8%
S. 협회 및 단체, 수리 및 기타 개인 서비스업 157
 
1.6%
Other values (13) 881
 
8.8%

Length

2023-12-12T18:23:22.969771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c 4642
14.6%
제조업 4642
14.6%
4196
 
13.2%
g 1432
 
4.5%
도매 1432
 
4.5%
소매업 1432
 
4.5%
서비스업 1095
 
3.4%
h 658
 
2.1%
운수 658
 
2.1%
창고업 658
 
2.1%
Other values (76) 11022
34.6%

업종 중분류
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5357 
기타 제품 제조업
645 
전자 부품, 컴퓨터, 영상, 음향 및 기통신장비 제조업
630 
섬유제품 제조업 (의복 제외)
549 
자동차 및 트레일러 제조업
 
367
Other values (23)
2452 

Length

Max length30
Median length4
Mean length9.9707
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5357
53.6%
기타 제품 제조업 645
 
6.5%
전자 부품, 컴퓨터, 영상, 음향 및 기통신장비 제조업 630
 
6.3%
섬유제품 제조업 (의복 제외) 549
 
5.5%
자동차 및 트레일러 제조업 367
 
3.7%
기타 기계 및 장비 제조업 316
 
3.2%
고무 및 플라스틱제품 제조업 287
 
2.9%
의복, 의복 액세서리 및 모피제품 제조업 274
 
2.7%
화학 물질 및 화학제품 제조업 (의약품 제외) 254
 
2.5%
가죽, 가방 및 신발 제조업 238
 
2.4%
Other values (18) 1083
 
10.8%

Length

2023-12-12T18:23:23.161170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5357
19.3%
제조업 4481
16.1%
2905
 
10.4%
의복 1097
 
3.9%
제외 1070
 
3.8%
기타 1010
 
3.6%
제품 646
 
2.3%
전자 630
 
2.3%
부품 630
 
2.3%
컴퓨터 630
 
2.3%
Other values (52) 9344
33.6%

Correlations

2023-12-12T18:23:23.252264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역진출국가투자형태업종 대분류업종 중분류
지역1.0001.0000.4790.2960.444
진출국가1.0001.0000.8040.4840.637
투자형태0.4790.8041.0000.2860.358
업종 대분류0.2960.4840.2861.0000.198
업종 중분류0.4440.6370.3580.1981.000
2023-12-12T18:23:23.377916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종 중분류업종 대분류지역
업종 중분류1.0000.0920.177
업종 대분류0.0921.0000.113
지역0.1770.1131.000
2023-12-12T18:23:23.507731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역업종 대분류업종 중분류
지역1.0000.1130.177
업종 대분류0.1131.0000.092
업종 중분류0.1770.0921.000

Missing values

2023-12-12T18:23:12.960365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:23:13.170401image/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.
2023-12-12T18:23:13.334466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Unnamed: 0지역진출국가관할무역관기업명(국문)기업명(영문)기업명(중문)주소우편번호진출형태투자형태모기업명업종 대분류업종 중분류
11366<NA>동남아대양주베트남호치민현대 씨앤에스HYUNDAI CNS CO., LTD.<NA>7TH FL., AGRTEX BLD, 58 VO VAN TAN ST., VO THI SAU WARD, DIST. 3, HCMC700000서비스법인단독투자현대SNSM. 전문, 과학 및 기술 서비스업<NA>
10723<NA>동남아대양주베트남호치민이멕스 솔루션EMAX SOLUTIONS CO., LTD.<NA>1212B, 12FL., DIAMOND PLAZA, 34 LE DUAN ST., DIST. 1, HCMC700000판매법인단독투자<NA>G. 도매 및 소매업<NA>
8143<NA>동남아대양주베트남하노이베트남 환경 법인VIETNAM ENDI. JSC CO<NA>PHO DAU, TAN QUANG, VAN LAM HUNG YEN, VIETNAM17000서비스법인단독투자<NA>M. 전문, 과학 및 기술 서비스업<NA>
1697<NA>동남아대양주필리핀마닐라파롤라 마리타임PAROLA MARITIME AGENCY CORPORATION<NA>PAROLA HOUSE, 1582 COPERNICO STREET, BARANGAY SAN ISIDRO, PAROLA HOUSE1234기타(Manpower Agency)단독투자<NA>U. 국제 및 외국기관<NA>
2649<NA>중국 (홍콩, 대만 포함)중국베이징길태영성(북경)과기개발유한공사G-TECH INTERNATIONAL CO., LTD.吉泰永盛(北京)科技开发有限公司1003, SOUTH DISTRICT, 9F, 122ND FLOOR, NANHU DONGYUAN, CHAOYANG DISTRICT, BEIJING100102판매법인단독투자지테크인터내셔날G. 도매 및 소매업<NA>
414<NA>동남아대양주베트남다낭두산에너빌리티 비엣남DOOSAN ENERBILITY VIETNAM<NA>DUNG QUAT ECONOMIC ZONE, BINH THUAN, BINH SON, QUANG NGAI, VIETNAM4700000생산법인, 서비스법인, 판매법인단독투자두산에너빌리티C. 제조업기타 기계 및 장비 제조업
7801<NA>동남아대양주베트남하노이JB증권 베트남JB SECURITIES VIETNAM<NA>23 EAST LOTTE CENTER 54 LIEU GIAI STREET, BA DINH DISTRICT, HANOI11100서비스법인, 해외지사.JB금융그룹K. 금융 및 보험업<NA>
8538<NA>동남아대양주베트남하노이엔비케이 비나NBK VINA CO., LTD.<NA>KCN DONG VAN 2, DUY MINH, DUY TIEN, HA NAM18000생산법인.<NA>C. 제조업전자 부품, 컴퓨터, 영상, 음향 및 기통신장비 제조업
3675<NA>중국 (홍콩, 대만 포함)중국상하이상해홍두무역유한공사SHANGHAI HONGDOU ELECTRONIC TRADE CO., LTD.上海洪斗贸易有限公司ROOM 605-F, BLOCK B, BUILDING 2, NO. 1000, HONGQUAN ROAD, MINHANG DISTRICT, SHANGHAI200000판매법인단독투자<NA>G. 도매 및 소매업<NA>
10244<NA>동남아대양주베트남호치민신양금형에칭 비나SHIN YANG MOLD ETCHING CO., LTD.<NA>296, QUARTER 8, HO NAI WARD, BIEN HOA CITY, DONG NAI700000생산법인.<NA>C. 제조업고무 및 플라스틱제품 제조업
Unnamed: 0지역진출국가관할무역관기업명(국문)기업명(영문)기업명(중문)주소우편번호진출형태투자형태모기업명업종 대분류업종 중분류
2001<NA>서남아인도뭄바이무브맥스시스템 로지스틱스MOVAX SYSTEM LOGISTICS<NA>FIRST FLOOR, LUCKY STORE, ROAD NO. 1, SAHAR VILLAGE, NEAR CHURCH, ANDHERI EAST, MUMBAI400099서비스법인단독투자무브맥스시스템H. 운수 및 창고업<NA>
796<NA>일본일본도쿄광주광역시동경사무소GWANGJU METROPOLITAN CITY TOKYO OFFICE<NA>SINKOKUSAI BLD.940, MARUNOCHI , CHIYODA KU, TOKYO , JAPAN1000005기타단독투자광주광역시O. 공공 행정, 국방 및 사회보장 행정<NA>
11240<NA>동남아대양주베트남호치민하이비나 어패럴HIGHVINA APPAREL INC.<NA>LONG YEN HAMLET, LONG THANH NAM COMMUNE, HOA THANH TOWN, TAY NINH700000생산법인단독투자현진어패럴C. 제조업섬유제품 제조업 (의복 제외)
5846<NA>동남아대양주인도네시아자카르타조아 인두스트리스JOA INDUSTRIES<NA>DESA PASIR BARAT RT.006,RW.004 KEC. JAMBE TANGERANG 15720, INDONESIA15720생산법인.<NA>C. 제조업가죽, 가방 및 신발 제조업
2163<NA>유럽폴란드바르샤바삼동 유럽 법인SAM DONG EUROPE SP. Z O.O.<NA>UL. MILENIJNA 16, KOSTRZYN NAD ODRA66-470생산법인단독투자㈜삼동C. 제조업기타 제품 제조업
3081<NA>중남미아르헨티나부에노스아이레스LX Pantos Logistics AR S.A.LX PANTOS LOGISTICS AR S.A.<NA>CHACABUCO 314 , PISO 5 B1069서비스법인단독투자<NA>H. 운수 및 창고업<NA>
7623<NA>유럽독일프랑크푸르트금융감독원 프랑크푸르트 사무소KOREA FINANCIAL SUPERVISORY SERVICE/ FRANKFURT OFFICE<NA>FEUERBACHSTR. 3160325기타(사무소).<NA>O. 공공 행정, 국방 및 사회보장 행정<NA>
6878<NA>동남아대양주말레이시아쿠알라룸푸르예인인터내셔널YEIN INTERNATIONAL SDN. BHD.<NA>NO.59, JALAN TSB 1, TAMAN INDUSTRI SUNGAI BULOH, PJ48710서비스법인, 판매법인단독투자<NA>G. 도매 및 소매업<NA>
2181<NA>유럽폴란드바르샤바아거스 폴란드 지점ARGUS CO., LTD. ODDZIAL W POLSCE<NA>UL. JULIANA URSYNA NIEMCEWICZA 37 LOK. U1, SZCZECIN71-553서비스법인단독투자(주)아거스F. 건설업<NA>
4003<NA>중국 (홍콩, 대만 포함)중국선양선양 호희사 상무유한공사SHENYANG HAOXISHI TRADING CO., LTD.沈阳好希仕商贸有限公司辽宁省沈阳市沈河区青年大街167甲、167号北方国际传媒中心26层02房间110000생산법인단독투자<NA>G. 도매 및 소매업<NA>