Overview

Dataset statistics

Number of variables30
Number of observations3551
Missing cells26022
Missing cells (%)24.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory846.3 KiB
Average record size in memory244.0 B

Variable types

Numeric4
Text15
Categorical6
Unsupported4
DateTime1

Dataset

Description강원도내 수출을 희망하는 중소기업의 기업정보, 상품정보, 특허/인증 정보입니다. 데이터 항목은 기업명, 사업자 번호, 기업유형, 대표자명, 매출금액(단위 백만원), 주소지, 임직원수, 수출희망국가, 수출실적 여부, 수출실적(일자), 수출실적(국가), 상품명(영문), 모델명, HScode, 상품키워드, 인증현황, 특허현황 등 30개 항목으로 구성되어 있습니다.
Author강원도 동해시
URLhttps://www.data.go.kr/data/15111974/fileData.do

Alerts

기업유형 is highly imbalanced (93.4%)Imbalance
수출실적(거래기업명) is highly imbalanced (93.7%)Imbalance
수출실적(항구 및 공항) is highly imbalanced (98.8%)Imbalance
Unnamed: 29 is highly imbalanced (96.7%)Imbalance
매출현황 has 737 (20.8%) missing valuesMissing
임직원 수 has 370 (10.4%) missing valuesMissing
수출희망국가 has 2859 (80.5%) missing valuesMissing
수출실적(일자) has 3163 (89.1%) missing valuesMissing
수출실적(국가) has 1977 (55.7%) missing valuesMissing
수출실적(물동량) has 3548 (99.9%) missing valuesMissing
모델명 has 2131 (60.0%) missing valuesMissing
상품소개(국문) has 38 (1.1%) missing valuesMissing
상품소개(영문) has 57 (1.6%) missing valuesMissing
MOQ has 3549 (99.9%) missing valuesMissing
생산국가(원산지) has 498 (14.0%) missing valuesMissing
운송수단 has 3547 (99.9%) missing valuesMissing
인증현황 has 1385 (39.0%) missing valuesMissing
특허현황 has 2130 (60.0%) missing valuesMissing
순번 has unique valuesUnique
임직원 수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
모델명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
MOQ is an unsupported type, check if it needs cleaning or further analysisUnsupported
특허현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 04:59:52.408433
Analysis finished2023-12-12 04:59:55.664470
Duration3.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3551
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1776
Minimum1
Maximum3551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.3 KiB
2023-12-12T13:59:55.741273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile178.5
Q1888.5
median1776
Q32663.5
95-th percentile3373.5
Maximum3551
Range3550
Interquartile range (IQR)1775

Descriptive statistics

Standard deviation1025.2297
Coefficient of variation (CV)0.57726899
Kurtosis-1.2
Mean1776
Median Absolute Deviation (MAD)888
Skewness0
Sum6306576
Variance1051096
MonotonicityStrictly increasing
2023-12-12T13:59:55.952041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2373 1
 
< 0.1%
2362 1
 
< 0.1%
2363 1
 
< 0.1%
2364 1
 
< 0.1%
2365 1
 
< 0.1%
2366 1
 
< 0.1%
2367 1
 
< 0.1%
2368 1
 
< 0.1%
2369 1
 
< 0.1%
Other values (3541) 3541
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3551 1
< 0.1%
3550 1
< 0.1%
3549 1
< 0.1%
3548 1
< 0.1%
3547 1
< 0.1%
3546 1
< 0.1%
3545 1
< 0.1%
3544 1
< 0.1%
3543 1
< 0.1%
3542 1
< 0.1%
Distinct1498
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
2023-12-12T13:59:56.289885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.9566319
Min length2

Characters and Unicode

Total characters28254
Distinct characters619
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique758 ?
Unique (%)21.3%

Sample

1st row(주)지원바이오
2nd row(주)천궁의료기
3rd row(주)청해에스엔디
4th row(주)케이에이티
5th row(주)케이푸드
ValueCountFrequency (%)
농업회사법인 265
 
6.3%
영농조합법인 172
 
4.1%
협동조합 36
 
0.9%
주)청해에스엔디 14
 
0.3%
영농조합 12
 
0.3%
정토담(토담된장 10
 
0.2%
감시기푸드 10
 
0.2%
주)새턴바이오텍 10
 
0.2%
주)한주에프앤비 9
 
0.2%
주)바이오메트릭스 9
 
0.2%
Other values (1461) 3632
86.9%
2023-12-12T13:59:56.853112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 2142
 
7.6%
) 2142
 
7.6%
2130
 
7.5%
881
 
3.1%
686
 
2.4%
647
 
2.3%
640
 
2.3%
492
 
1.7%
492
 
1.7%
401
 
1.4%
Other values (609) 17601
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22816
80.8%
Open Punctuation 2142
 
7.6%
Close Punctuation 2142
 
7.6%
Space Separator 881
 
3.1%
Uppercase Letter 164
 
0.6%
Decimal Number 45
 
0.2%
Other Punctuation 34
 
0.1%
Lowercase Letter 22
 
0.1%
Other Symbol 5
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2130
 
9.3%
686
 
3.0%
647
 
2.8%
640
 
2.8%
492
 
2.2%
492
 
2.2%
401
 
1.8%
390
 
1.7%
356
 
1.6%
331
 
1.5%
Other values (565) 16251
71.2%
Uppercase Letter
ValueCountFrequency (%)
C 17
10.4%
N 16
9.8%
S 16
9.8%
D 13
 
7.9%
K 12
 
7.3%
E 12
 
7.3%
F 12
 
7.3%
M 11
 
6.7%
A 9
 
5.5%
B 8
 
4.9%
Other values (12) 38
23.2%
Decimal Number
ValueCountFrequency (%)
3 12
26.7%
2 10
22.2%
1 8
17.8%
5 7
15.6%
0 4
 
8.9%
4 3
 
6.7%
7 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
b 8
36.4%
f 8
36.4%
d 2
 
9.1%
n 2
 
9.1%
a 2
 
9.1%
Other Punctuation
ValueCountFrequency (%)
& 24
70.6%
/ 5
 
14.7%
. 3
 
8.8%
, 2
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 2142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2142
100.0%
Space Separator
ValueCountFrequency (%)
881
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22820
80.8%
Common 5247
 
18.6%
Latin 186
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2130
 
9.3%
686
 
3.0%
647
 
2.8%
640
 
2.8%
492
 
2.2%
492
 
2.2%
401
 
1.8%
390
 
1.7%
356
 
1.6%
331
 
1.5%
Other values (565) 16255
71.2%
Latin
ValueCountFrequency (%)
C 17
 
9.1%
N 16
 
8.6%
S 16
 
8.6%
D 13
 
7.0%
K 12
 
6.5%
E 12
 
6.5%
F 12
 
6.5%
M 11
 
5.9%
A 9
 
4.8%
B 8
 
4.3%
Other values (17) 60
32.3%
Common
ValueCountFrequency (%)
( 2142
40.8%
) 2142
40.8%
881
16.8%
& 24
 
0.5%
3 12
 
0.2%
2 10
 
0.2%
1 8
 
0.2%
5 7
 
0.1%
/ 5
 
0.1%
0 4
 
0.1%
Other values (6) 12
 
0.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22815
80.7%
ASCII 5433
 
19.2%
None 5
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 2142
39.4%
) 2142
39.4%
881
16.2%
& 24
 
0.4%
C 17
 
0.3%
N 16
 
0.3%
S 16
 
0.3%
D 13
 
0.2%
K 12
 
0.2%
E 12
 
0.2%
Other values (33) 158
 
2.9%
Hangul
ValueCountFrequency (%)
2130
 
9.3%
686
 
3.0%
647
 
2.8%
640
 
2.8%
492
 
2.2%
492
 
2.2%
401
 
1.8%
390
 
1.7%
356
 
1.6%
331
 
1.5%
Other values (564) 16250
71.2%
None
ValueCountFrequency (%)
5
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct1396
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
2023-12-12T13:59:57.176678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002253
Min length12

Characters and Unicode

Total characters42620
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)18.5%

Sample

1st row667-87-00459
2nd row224-81-37359
3rd row227-81-09060
4th row365-86-00838
5th row131-87-02128
ValueCountFrequency (%)
227-81-09060 14
 
0.4%
222-81-28174 11
 
0.3%
214-86-91647 10
 
0.3%
440-16-00873 10
 
0.3%
224-09-91890 10
 
0.3%
226-81-29312 9
 
0.3%
220-86-07450 9
 
0.3%
109-86-49740 9
 
0.3%
502-81-54689 9
 
0.3%
135-81-64857 8
 
0.2%
Other values (1385) 3452
97.2%
2023-12-12T13:59:57.620024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7102
16.7%
2 6205
14.6%
1 5251
12.3%
8 4599
10.8%
0 4429
10.4%
4 2999
7.0%
3 2619
 
6.1%
6 2572
 
6.0%
7 2540
 
6.0%
5 2166
 
5.1%
Other values (3) 2138
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35412
83.1%
Dash Punctuation 7102
 
16.7%
Other Punctuation 99
 
0.2%
Space Separator 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6205
17.5%
1 5251
14.8%
8 4599
13.0%
0 4429
12.5%
4 2999
8.5%
3 2619
7.4%
6 2572
7.3%
7 2540
7.2%
5 2166
 
6.1%
9 2032
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 7102
100.0%
Other Punctuation
ValueCountFrequency (%)
* 99
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42620
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7102
16.7%
2 6205
14.6%
1 5251
12.3%
8 4599
10.8%
0 4429
10.4%
4 2999
7.0%
3 2619
 
6.1%
6 2572
 
6.0%
7 2540
 
6.0%
5 2166
 
5.1%
Other values (3) 2138
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7102
16.7%
2 6205
14.6%
1 5251
12.3%
8 4599
10.8%
0 4429
10.4%
4 2999
7.0%
3 2619
 
6.1%
6 2572
 
6.0%
7 2540
 
6.0%
5 2166
 
5.1%
Other values (3) 2138
 
5.0%

기업유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
중소기업
3505 
중견기업
 
43
중소기업
 
3

Length

Max length5
Median length4
Mean length4.0008448
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중소기업 3505
98.7%
중견기업 43
 
1.2%
중소기업 3
 
0.1%

Length

2023-12-12T13:59:57.821474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:59:57.974231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 3508
98.8%
중견기업 43
 
1.2%
Distinct1347
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
2023-12-12T13:59:58.344999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.1343284
Min length2

Characters and Unicode

Total characters11130
Distinct characters230
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

Unique610 ?
Unique (%)17.2%

Sample

1st row김우식
2nd row김찬휘
3rd row노영국
4th row안중원
5th row최태영
ValueCountFrequency (%)
81
 
2.2%
노영국 14
 
0.4%
이상훈 13
 
0.4%
장성훈 13
 
0.4%
최의열 12
 
0.3%
박영학 12
 
0.3%
고재칠 11
 
0.3%
성재기 11
 
0.3%
심범석 10
 
0.3%
조미선 10
 
0.3%
Other values (1356) 3527
95.0%
2023-12-12T13:59:58.968797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
745
 
6.7%
487
 
4.4%
358
 
3.2%
280
 
2.5%
280
 
2.5%
225
 
2.0%
220
 
2.0%
187
 
1.7%
186
 
1.7%
181
 
1.6%
Other values (220) 7981
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10859
97.6%
Space Separator 181
 
1.6%
Other Punctuation 81
 
0.7%
Uppercase Letter 8
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
745
 
6.9%
487
 
4.5%
358
 
3.3%
280
 
2.6%
280
 
2.6%
225
 
2.1%
220
 
2.0%
187
 
1.7%
186
 
1.7%
173
 
1.6%
Other values (210) 7718
71.1%
Uppercase Letter
ValueCountFrequency (%)
I 2
25.0%
L 1
12.5%
H 1
12.5%
U 1
12.5%
A 1
12.5%
N 1
12.5%
J 1
12.5%
Space Separator
ValueCountFrequency (%)
181
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 81
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10859
97.6%
Common 263
 
2.4%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
745
 
6.9%
487
 
4.5%
358
 
3.3%
280
 
2.6%
280
 
2.6%
225
 
2.1%
220
 
2.0%
187
 
1.7%
186
 
1.7%
173
 
1.6%
Other values (210) 7718
71.1%
Latin
ValueCountFrequency (%)
I 2
25.0%
L 1
12.5%
H 1
12.5%
U 1
12.5%
A 1
12.5%
N 1
12.5%
J 1
12.5%
Common
ValueCountFrequency (%)
181
68.8%
/ 81
30.8%
1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10859
97.6%
ASCII 271
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
745
 
6.9%
487
 
4.5%
358
 
3.3%
280
 
2.6%
280
 
2.6%
225
 
2.1%
220
 
2.0%
187
 
1.7%
186
 
1.7%
173
 
1.6%
Other values (210) 7718
71.1%
ASCII
ValueCountFrequency (%)
181
66.8%
/ 81
29.9%
I 2
 
0.7%
L 1
 
0.4%
H 1
 
0.4%
U 1
 
0.4%
A 1
 
0.4%
N 1
 
0.4%
J 1
 
0.4%
1
 
0.4%

매출현황
Real number (ℝ)

MISSING 

Distinct915
Distinct (%)32.5%
Missing737
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean9635.9225
Minimum1
Maximum550470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.3 KiB
2023-12-12T13:59:59.162802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile51
Q1325
median1398.5
Q35048.5
95-th percentile41397
Maximum550470
Range550469
Interquartile range (IQR)4723.5

Descriptive statistics

Standard deviation33359.765
Coefficient of variation (CV)3.4620208
Kurtosis107.42529
Mean9635.9225
Median Absolute Deviation (MAD)1269.5
Skewness9.1147115
Sum27115486
Variance1.1128739 × 109
MonotonicityNot monotonic
2023-12-12T13:59:59.344079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 23
 
0.6%
70 18
 
0.5%
27 15
 
0.4%
3974 14
 
0.4%
201 12
 
0.3%
302 12
 
0.3%
134 12
 
0.3%
51 11
 
0.3%
2000 11
 
0.3%
428 11
 
0.3%
Other values (905) 2675
75.3%
(Missing) 737
 
20.8%
ValueCountFrequency (%)
1 8
0.2%
2 3
 
0.1%
3 3
 
0.1%
4 3
 
0.1%
5 7
0.2%
6 4
0.1%
7 2
 
0.1%
8 5
0.1%
9 3
 
0.1%
14 3
 
0.1%
ValueCountFrequency (%)
550470 1
 
< 0.1%
446079 4
0.1%
415129 5
0.1%
214266 1
 
< 0.1%
201136 5
0.1%
146835 4
0.1%
144100 6
0.2%
138555 9
0.3%
136579 6
0.2%
111802 6
0.2%
Distinct1414
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
2023-12-12T13:59:59.762022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length55
Mean length23.043086
Min length3

Characters and Unicode

Total characters81826
Distinct characters410
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique677 ?
Unique (%)19.1%

Sample

1st row강원도 춘천시 서면 신매리 441-2
2nd row강원도 원주시 흥업면 대안리 393-6
3rd row강원도 고성군 토성면 청간리 210-14
4th row강원도 춘천시 효자동 681-13
5th row강원도 원주시 우산동 660, 상지대학교
ValueCountFrequency (%)
강원도 3548
 
19.2%
원주시 1024
 
5.5%
춘천시 646
 
3.5%
강릉시 341
 
1.8%
문막읍 228
 
1.2%
횡성군 225
 
1.2%
홍천군 166
 
0.9%
지정면 151
 
0.8%
평창군 151
 
0.8%
동해시 135
 
0.7%
Other values (2174) 11860
64.2%
2023-12-12T14:00:00.438777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15058
 
18.4%
5007
 
6.1%
4034
 
4.9%
1 3680
 
4.5%
3605
 
4.4%
2 2620
 
3.2%
- 2595
 
3.2%
2395
 
2.9%
2337
 
2.9%
2070
 
2.5%
Other values (400) 38425
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46018
56.2%
Decimal Number 16647
 
20.3%
Space Separator 15058
 
18.4%
Dash Punctuation 2595
 
3.2%
Other Punctuation 1096
 
1.3%
Uppercase Letter 152
 
0.2%
Open Punctuation 126
 
0.2%
Close Punctuation 126
 
0.2%
Math Symbol 5
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5007
 
10.9%
4034
 
8.8%
3605
 
7.8%
2395
 
5.2%
2337
 
5.1%
2070
 
4.5%
1513
 
3.3%
1319
 
2.9%
1221
 
2.7%
1197
 
2.6%
Other values (366) 21320
46.3%
Uppercase Letter
ValueCountFrequency (%)
B 28
18.4%
O 22
14.5%
I 20
13.2%
F 17
11.2%
A 14
9.2%
C 9
 
5.9%
S 8
 
5.3%
N 8
 
5.3%
P 7
 
4.6%
R 5
 
3.3%
Other values (5) 14
9.2%
Decimal Number
ValueCountFrequency (%)
1 3680
22.1%
2 2620
15.7%
3 1638
9.8%
0 1425
 
8.6%
5 1350
 
8.1%
4 1331
 
8.0%
6 1284
 
7.7%
9 1193
 
7.2%
7 1109
 
6.7%
8 1017
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 1095
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
15058
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46020
56.2%
Common 35653
43.6%
Latin 153
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5007
 
10.9%
4034
 
8.8%
3605
 
7.8%
2395
 
5.2%
2337
 
5.1%
2070
 
4.5%
1513
 
3.3%
1319
 
2.9%
1221
 
2.7%
1197
 
2.6%
Other values (367) 21322
46.3%
Common
ValueCountFrequency (%)
15058
42.2%
1 3680
 
10.3%
2 2620
 
7.3%
- 2595
 
7.3%
3 1638
 
4.6%
0 1425
 
4.0%
5 1350
 
3.8%
4 1331
 
3.7%
6 1284
 
3.6%
9 1193
 
3.3%
Other values (7) 3479
 
9.8%
Latin
ValueCountFrequency (%)
B 28
18.3%
O 22
14.4%
I 20
13.1%
F 17
11.1%
A 14
9.2%
C 9
 
5.9%
S 8
 
5.2%
N 8
 
5.2%
P 7
 
4.6%
R 5
 
3.3%
Other values (6) 15
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46018
56.2%
ASCII 35806
43.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15058
42.1%
1 3680
 
10.3%
2 2620
 
7.3%
- 2595
 
7.2%
3 1638
 
4.6%
0 1425
 
4.0%
5 1350
 
3.8%
4 1331
 
3.7%
6 1284
 
3.6%
9 1193
 
3.3%
Other values (23) 3632
 
10.1%
Hangul
ValueCountFrequency (%)
5007
 
10.9%
4034
 
8.8%
3605
 
7.8%
2395
 
5.2%
2337
 
5.1%
2070
 
4.5%
1513
 
3.3%
1319
 
2.9%
1221
 
2.7%
1197
 
2.6%
Other values (366) 21320
46.3%
None
ValueCountFrequency (%)
2
100.0%

임직원 수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing370
Missing (%)10.4%
Memory size27.9 KiB

수출희망국가
Text

MISSING 

Distinct152
Distinct (%)22.0%
Missing2859
Missing (%)80.5%
Memory size27.9 KiB
2023-12-12T14:00:00.691022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length73
Mean length16.160405
Min length2

Characters and Unicode

Total characters11183
Distinct characters119
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

Unique43 ?
Unique (%)6.2%

Sample

1st row미국 / 베트남 / 콜롬비아 / 중국
2nd row중국 / 말레이시아 / 오스트레일리아
3rd row중국 / 몽골
4th row베트남
5th row미국 / 중국
ValueCountFrequency (%)
1521
40.7%
중국 354
 
9.5%
미국 286
 
7.7%
일본 216
 
5.8%
베트남 191
 
5.1%
러시아 93
 
2.5%
홍콩(중국 88
 
2.4%
싱가포르 76
 
2.0%
말레이시아 75
 
2.0%
태국 74
 
2.0%
Other values (67) 763
20.4%
2023-12-12T14:00:01.099333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3049
27.3%
/ 1524
13.6%
825
 
7.4%
461
 
4.1%
436
 
3.9%
325
 
2.9%
316
 
2.8%
271
 
2.4%
255
 
2.3%
216
 
1.9%
Other values (109) 3505
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6399
57.2%
Space Separator 3049
27.3%
Other Punctuation 1524
 
13.6%
Close Punctuation 101
 
0.9%
Open Punctuation 101
 
0.9%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
825
 
12.9%
461
 
7.2%
436
 
6.8%
325
 
5.1%
316
 
4.9%
271
 
4.2%
255
 
4.0%
216
 
3.4%
197
 
3.1%
193
 
3.0%
Other values (102) 2904
45.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
I 3
33.3%
C 3
33.3%
Space Separator
ValueCountFrequency (%)
3049
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6399
57.2%
Common 4775
42.7%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
825
 
12.9%
461
 
7.2%
436
 
6.8%
325
 
5.1%
316
 
4.9%
271
 
4.2%
255
 
4.0%
216
 
3.4%
197
 
3.1%
193
 
3.0%
Other values (102) 2904
45.4%
Common
ValueCountFrequency (%)
3049
63.9%
/ 1524
31.9%
) 101
 
2.1%
( 101
 
2.1%
Latin
ValueCountFrequency (%)
S 3
33.3%
I 3
33.3%
C 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6399
57.2%
ASCII 4784
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3049
63.7%
/ 1524
31.9%
) 101
 
2.1%
( 101
 
2.1%
S 3
 
0.1%
I 3
 
0.1%
C 3
 
0.1%
Hangul
ValueCountFrequency (%)
825
 
12.9%
461
 
7.2%
436
 
6.8%
325
 
5.1%
316
 
4.9%
271
 
4.2%
255
 
4.0%
216
 
3.4%
197
 
3.1%
193
 
3.0%
Other values (102) 2904
45.4%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
Y
1825 
N
1720 
Y
 
6

Length

Max length2
Median length1
Mean length1.0016897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Y 1825
51.4%
N 1720
48.4%
Y 6
 
0.2%

Length

2023-12-12T14:00:01.301731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:00:01.447476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 1831
51.6%
n 1720
48.4%

수출실적(일자)
Date

MISSING 

Distinct73
Distinct (%)18.8%
Missing3163
Missing (%)89.1%
Memory size27.9 KiB
Minimum1988-04-01 00:00:00
Maximum2022-03-23 00:00:00
2023-12-12T14:00:01.621475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:00:01.815618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수출실적(국가)
Text

MISSING 

Distinct340
Distinct (%)21.6%
Missing1977
Missing (%)55.7%
Memory size27.9 KiB
2023-12-12T14:00:02.115268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length171
Median length86
Mean length17.045108
Min length2

Characters and Unicode

Total characters26829
Distinct characters139
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

Unique112 ?
Unique (%)7.1%

Sample

1st row미국 / 일본 / 중국 / 대만 / 말레이시아 / 베트남 / 싱가포르 / 튀르키예 / 폴란드 / 홍콩(중국)
2nd row미국 / 베트남 / 콜롬비아
3rd row미국 / 일본 / 대만 / 중국 / 싱가포르
4th row베트남 / 인도네시아
5th row미국 / 일본 / 중국 / 베트남
ValueCountFrequency (%)
3632
40.8%
중국 770
 
8.7%
미국 749
 
8.4%
일본 520
 
5.8%
베트남 412
 
4.6%
홍콩(중국 222
 
2.5%
대만 199
 
2.2%
싱가포르 166
 
1.9%
러시아 140
 
1.6%
인도네시아 138
 
1.6%
Other values (107) 1949
21.9%
2023-12-12T14:00:02.751366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7340
27.4%
/ 3691
13.8%
1949
 
7.3%
1021
 
3.8%
908
 
3.4%
808
 
3.0%
742
 
2.8%
582
 
2.2%
520
 
1.9%
491
 
1.8%
Other values (129) 8777
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15291
57.0%
Space Separator 7340
27.4%
Other Punctuation 3691
 
13.8%
Open Punctuation 249
 
0.9%
Close Punctuation 249
 
0.9%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1949
 
12.7%
1021
 
6.7%
908
 
5.9%
808
 
5.3%
742
 
4.9%
582
 
3.8%
520
 
3.4%
491
 
3.2%
421
 
2.8%
420
 
2.7%
Other values (122) 7429
48.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
I 3
33.3%
C 3
33.3%
Space Separator
ValueCountFrequency (%)
7340
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3691
100.0%
Open Punctuation
ValueCountFrequency (%)
( 249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15291
57.0%
Common 11529
43.0%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1949
 
12.7%
1021
 
6.7%
908
 
5.9%
808
 
5.3%
742
 
4.9%
582
 
3.8%
520
 
3.4%
491
 
3.2%
421
 
2.8%
420
 
2.7%
Other values (122) 7429
48.6%
Common
ValueCountFrequency (%)
7340
63.7%
/ 3691
32.0%
( 249
 
2.2%
) 249
 
2.2%
Latin
ValueCountFrequency (%)
S 3
33.3%
I 3
33.3%
C 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15291
57.0%
ASCII 11538
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7340
63.6%
/ 3691
32.0%
( 249
 
2.2%
) 249
 
2.2%
S 3
 
< 0.1%
I 3
 
< 0.1%
C 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
1949
 
12.7%
1021
 
6.7%
908
 
5.9%
808
 
5.3%
742
 
4.9%
582
 
3.8%
520
 
3.4%
491
 
3.2%
421
 
2.8%
420
 
2.7%
Other values (122) 7429
48.6%

수출실적(거래기업명)
Categorical

IMBALANCE 

Distinct44
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
3444 
항보왕식품유한공사 / 리바오
 
9
H-MART
 
8
MICON / ICL / ICONICS
 
7
BIOSOUNDLAB
 
6
Other values (39)
 
77

Length

Max length72
Median length4
Mean length4.515911
Min length2

Unique

Unique20 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3444
97.0%
항보왕식품유한공사 / 리바오 9
 
0.3%
H-MART 8
 
0.2%
MICON / ICL / ICONICS 7
 
0.2%
BIOSOUNDLAB 6
 
0.2%
WooltariCAD, Inc 5
 
0.1%
Joy International Marketing Ltd. / Sollice Biotech / Permcos GmbH 5
 
0.1%
(주)오미야 / (주)삼공기연 / 광주화남축목유한공사 / 세이메이농장 / (주)세기네 5
 
0.1%
Vast Resources Pharmaceutical Ltd. 4
 
0.1%
일본 BIC 그룹 4
 
0.1%
Other values (34) 54
 
1.5%

Length

2023-12-12T14:00:02.980862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3444
89.9%
90
 
2.3%
inc 10
 
0.3%
리바오 9
 
0.2%
항보왕식품유한공사 9
 
0.2%
ltd 9
 
0.2%
h-mart 8
 
0.2%
micon 7
 
0.2%
icl 7
 
0.2%
iconics 7
 
0.2%
Other values (99) 232
 
6.1%
Distinct2
Distinct (%)66.7%
Missing3548
Missing (%)99.9%
Memory size27.9 KiB
2023-12-12T14:00:03.143351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Characters and Unicode

Total characters10
Distinct characters4
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row
2nd row800두
3rd row800두
ValueCountFrequency (%)
800두 2
100.0%
2023-12-12T14:00:03.483624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
40.0%
8 2
20.0%
2
20.0%
2
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
60.0%
Other Letter 2
 
20.0%
Space Separator 2
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
66.7%
8 2
33.3%
Other Letter
ValueCountFrequency (%)
2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8
80.0%
Hangul 2
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
50.0%
8 2
25.0%
2
25.0%
Hangul
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
80.0%
Hangul 2
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
50.0%
8 2
25.0%
2
25.0%
Hangul
ValueCountFrequency (%)
2
100.0%

수출실적(항구 및 공항)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
3544 
인천항
 
4
 
2
dried fish
 
1

Length

Max length10
Median length4
Mean length3.9994368
Min length2

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> 3544
99.8%
인천항 4
 
0.1%
2
 
0.1%
dried fish 1
 
< 0.1%

Length

2023-12-12T14:00:03.678063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:00:03.835324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3544
99.8%
인천항 4
 
0.1%
dried 1
 
< 0.1%
fish 1
 
< 0.1%
Distinct3342
Distinct (%)94.4%
Missing10
Missing (%)0.3%
Memory size27.9 KiB
2023-12-12T14:00:04.303748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length72
Mean length22.723524
Min length2

Characters and Unicode

Total characters80464
Distinct characters96
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3232 ?
Unique (%)91.3%

Sample

1st rowDeep Water Moisture Aloe Vera Soothing Gel
2nd rowa medical warmer
3rd rowOur Latest News
4th rowa dry coal sorter
5th rowsprout barley
ValueCountFrequency (%)
dried 122
 
1.0%
rice 99
 
0.8%
a 98
 
0.8%
tea 82
 
0.7%
pollack 77
 
0.6%
of 72
 
0.6%
korean 69
 
0.6%
for 68
 
0.6%
red 65
 
0.5%
ginseng 63
 
0.5%
Other values (4038) 11153
93.2%
2023-12-12T14:00:05.058085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8499
 
10.6%
e 7475
 
9.3%
a 5693
 
7.1%
o 4777
 
5.9%
i 4582
 
5.7%
n 4240
 
5.3%
r 4082
 
5.1%
t 3382
 
4.2%
l 3228
 
4.0%
s 2843
 
3.5%
Other values (86) 31663
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 59325
73.7%
Uppercase Letter 10284
 
12.8%
Space Separator 8499
 
10.6%
Decimal Number 1033
 
1.3%
Dash Punctuation 474
 
0.6%
Other Punctuation 325
 
0.4%
Open Punctuation 198
 
0.2%
Close Punctuation 198
 
0.2%
Control 42
 
0.1%
Math Symbol 40
 
< 0.1%
Other values (7) 46
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7475
12.6%
a 5693
 
9.6%
o 4777
 
8.1%
i 4582
 
7.7%
n 4240
 
7.1%
r 4082
 
6.9%
t 3382
 
5.7%
l 3228
 
5.4%
s 2843
 
4.8%
c 2365
 
4.0%
Other values (17) 16658
28.1%
Uppercase Letter
ValueCountFrequency (%)
S 1051
 
10.2%
C 783
 
7.6%
A 696
 
6.8%
P 689
 
6.7%
E 617
 
6.0%
D 542
 
5.3%
R 505
 
4.9%
B 491
 
4.8%
T 475
 
4.6%
M 470
 
4.6%
Other values (16) 3965
38.6%
Other Punctuation
ValueCountFrequency (%)
' 82
25.2%
, 67
20.6%
/ 62
19.1%
. 58
17.8%
& 32
 
9.8%
% 15
 
4.6%
" 3
 
0.9%
* 2
 
0.6%
: 2
 
0.6%
! 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 368
35.6%
1 197
19.1%
5 110
 
10.6%
2 92
 
8.9%
3 76
 
7.4%
4 50
 
4.8%
8 41
 
4.0%
9 39
 
3.8%
6 36
 
3.5%
7 24
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 33
82.5%
> 2
 
5.0%
< 2
 
5.0%
× 2
 
5.0%
~ 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 170
85.9%
[ 28
 
14.1%
Close Punctuation
ValueCountFrequency (%)
) 170
85.9%
] 28
 
14.1%
Other Symbol
ValueCountFrequency (%)
13
52.0%
® 12
48.0%
Final Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Other Number
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
8499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 474
100.0%
Control
ValueCountFrequency (%)
42
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Format
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69609
86.5%
Common 10854
 
13.5%
Hangul 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7475
 
10.7%
a 5693
 
8.2%
o 4777
 
6.9%
i 4582
 
6.6%
n 4240
 
6.1%
r 4082
 
5.9%
t 3382
 
4.9%
l 3228
 
4.6%
s 2843
 
4.1%
c 2365
 
3.4%
Other values (43) 26942
38.7%
Common
ValueCountFrequency (%)
8499
78.3%
- 474
 
4.4%
0 368
 
3.4%
1 197
 
1.8%
( 170
 
1.6%
) 170
 
1.6%
5 110
 
1.0%
2 92
 
0.8%
' 82
 
0.8%
3 76
 
0.7%
Other values (32) 616
 
5.7%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80425
> 99.9%
None 19
 
< 0.1%
Letterlike Symbols 13
 
< 0.1%
Punctuation 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8499
 
10.6%
e 7475
 
9.3%
a 5693
 
7.1%
o 4777
 
5.9%
i 4582
 
5.7%
n 4240
 
5.3%
r 4082
 
5.1%
t 3382
 
4.2%
l 3228
 
4.0%
s 2843
 
3.5%
Other values (74) 31624
39.3%
Letterlike Symbols
ValueCountFrequency (%)
13
100.0%
None
ValueCountFrequency (%)
® 12
63.2%
2
 
10.5%
× 2
 
10.5%
é 1
 
5.3%
1
 
5.3%
· 1
 
5.3%
Punctuation
ValueCountFrequency (%)
3
50.0%
1
 
16.7%
1
 
16.7%
1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

모델명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2131
Missing (%)60.0%
Memory size27.9 KiB

HS CODE(6자리)
Real number (ℝ)

Distinct767
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371951.12
Minimum0
Maximum961900
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.3 KiB
2023-12-12T14:00:05.297961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30750.5
Q1180690
median210690
Q3630790
95-th percentile902140
Maximum961900
Range961900
Interquartile range (IQR)450100

Descriptive statistics

Standard deviation297311.79
Coefficient of variation (CV)0.79933028
Kurtosis-0.8047239
Mean371951.12
Median Absolute Deviation (MAD)119809
Skewness0.86267673
Sum1.3207984 × 109
Variance8.8394303 × 1010
MonotonicityNot monotonic
2023-12-12T14:00:05.507699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210690 146
 
4.1%
330499 132
 
3.7%
190590 120
 
3.4%
200599 93
 
2.6%
210390 91
 
2.6%
190190 69
 
1.9%
901890 64
 
1.8%
210120 56
 
1.6%
330790 48
 
1.4%
160232 47
 
1.3%
Other values (757) 2685
75.6%
ValueCountFrequency (%)
0 6
 
0.2%
9020 1
 
< 0.1%
20120 1
 
< 0.1%
20130 22
0.6%
20230 8
 
0.2%
20319 5
 
0.1%
20329 7
 
0.2%
20713 1
 
< 0.1%
20714 8
 
0.2%
20745 2
 
0.1%
ValueCountFrequency (%)
961900 3
0.1%
961700 2
0.1%
961590 1
 
< 0.1%
961210 1
 
< 0.1%
960910 1
 
< 0.1%
960840 1
 
< 0.1%
960830 1
 
< 0.1%
960810 2
0.1%
960629 1
 
< 0.1%
960330 1
 
< 0.1%
Distinct2543
Distinct (%)71.8%
Missing7
Missing (%)0.2%
Memory size27.9 KiB
2023-12-12T14:00:06.263540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length33
Mean length5.7954289
Min length1

Characters and Unicode

Total characters20539
Distinct characters776
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2184 ?
Unique (%)61.6%

Sample

1st row수딩젤
2nd row의료용 온열기
3rd row조미김
4th row건식석탄선별기
5th row새싹보리
ValueCountFrequency (%)
33
 
0.6%
커피 33
 
0.6%
닭갈비 31
 
0.6%
화장품 30
 
0.6%
마스크 27
 
0.5%
비누 26
 
0.5%
건강기능식품 26
 
0.5%
김치 24
 
0.4%
마스크팩 24
 
0.4%
한과 22
 
0.4%
Other values (3006) 5157
94.9%
2023-12-12T14:00:06.854239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1914
 
9.3%
630
 
3.1%
359
 
1.7%
318
 
1.5%
308
 
1.5%
282
 
1.4%
240
 
1.2%
222
 
1.1%
/ 222
 
1.1%
206
 
1.0%
Other values (766) 15838
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17849
86.9%
Space Separator 1914
 
9.3%
Other Punctuation 338
 
1.6%
Uppercase Letter 236
 
1.1%
Open Punctuation 55
 
0.3%
Close Punctuation 55
 
0.3%
Decimal Number 47
 
0.2%
Lowercase Letter 33
 
0.2%
Dash Punctuation 10
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
630
 
3.5%
359
 
2.0%
318
 
1.8%
308
 
1.7%
282
 
1.6%
240
 
1.3%
222
 
1.2%
206
 
1.2%
197
 
1.1%
195
 
1.1%
Other values (706) 14892
83.4%
Uppercase Letter
ValueCountFrequency (%)
D 36
15.3%
E 31
13.1%
L 25
10.6%
C 20
 
8.5%
S 17
 
7.2%
A 13
 
5.5%
I 12
 
5.1%
V 12
 
5.1%
P 12
 
5.1%
F 8
 
3.4%
Other values (13) 50
21.2%
Lowercase Letter
ValueCountFrequency (%)
n 5
15.2%
p 3
 
9.1%
a 3
 
9.1%
o 2
 
6.1%
t 2
 
6.1%
k 2
 
6.1%
l 2
 
6.1%
s 2
 
6.1%
c 2
 
6.1%
u 2
 
6.1%
Other values (7) 8
24.2%
Decimal Number
ValueCountFrequency (%)
1 13
27.7%
0 10
21.3%
3 8
17.0%
9 5
 
10.6%
2 5
 
10.6%
6 3
 
6.4%
4 1
 
2.1%
7 1
 
2.1%
5 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 222
65.7%
, 104
30.8%
& 5
 
1.5%
. 4
 
1.2%
· 3
 
0.9%
Space Separator
ValueCountFrequency (%)
1914
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17849
86.9%
Common 2421
 
11.8%
Latin 269
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
630
 
3.5%
359
 
2.0%
318
 
1.8%
308
 
1.7%
282
 
1.6%
240
 
1.3%
222
 
1.2%
206
 
1.2%
197
 
1.1%
195
 
1.1%
Other values (706) 14892
83.4%
Latin
ValueCountFrequency (%)
D 36
13.4%
E 31
 
11.5%
L 25
 
9.3%
C 20
 
7.4%
S 17
 
6.3%
A 13
 
4.8%
I 12
 
4.5%
V 12
 
4.5%
P 12
 
4.5%
F 8
 
3.0%
Other values (30) 83
30.9%
Common
ValueCountFrequency (%)
1914
79.1%
/ 222
 
9.2%
, 104
 
4.3%
( 55
 
2.3%
) 55
 
2.3%
1 13
 
0.5%
0 10
 
0.4%
- 10
 
0.4%
3 8
 
0.3%
9 5
 
0.2%
Other values (10) 25
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17849
86.9%
ASCII 2686
 
13.1%
None 3
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1914
71.3%
/ 222
 
8.3%
, 104
 
3.9%
( 55
 
2.0%
) 55
 
2.0%
D 36
 
1.3%
E 31
 
1.2%
L 25
 
0.9%
C 20
 
0.7%
S 17
 
0.6%
Other values (48) 207
 
7.7%
Hangul
ValueCountFrequency (%)
630
 
3.5%
359
 
2.0%
318
 
1.8%
308
 
1.7%
282
 
1.6%
240
 
1.3%
222
 
1.2%
206
 
1.2%
197
 
1.1%
195
 
1.1%
Other values (706) 14892
83.4%
None
ValueCountFrequency (%)
· 3
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct2764
Distinct (%)78.1%
Missing10
Missing (%)0.3%
Memory size27.9 KiB
2023-12-12T14:00:07.233081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length64
Mean length18.115504
Min length3

Characters and Unicode

Total characters64147
Distinct characters79
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2406 ?
Unique (%)67.9%

Sample

1st rowSoothing gel
2nd rowa medical warmer
3rd rowOur Latest News
4th rowAVORTEX
5th rowsprout barley
ValueCountFrequency (%)
for 164
 
1.8%
a 126
 
1.4%
rice 103
 
1.1%
dried 103
 
1.1%
tea 86
 
0.9%
coffee 74
 
0.8%
and 74
 
0.8%
korean 71
 
0.8%
71
 
0.8%
pollack 66
 
0.7%
Other values (2560) 8344
89.9%
2023-12-12T14:00:07.774775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 6750
 
10.5%
5850
 
9.1%
a 4925
 
7.7%
i 4309
 
6.7%
o 4129
 
6.4%
r 3899
 
6.1%
n 3502
 
5.5%
t 3470
 
5.4%
s 3245
 
5.1%
l 2732
 
4.3%
Other values (69) 21336
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 54567
85.1%
Space Separator 5850
 
9.1%
Uppercase Letter 2895
 
4.5%
Other Punctuation 349
 
0.5%
Dash Punctuation 172
 
0.3%
Close Punctuation 99
 
0.2%
Open Punctuation 98
 
0.2%
Control 63
 
0.1%
Decimal Number 52
 
0.1%
Format 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6750
12.4%
a 4925
 
9.0%
i 4309
 
7.9%
o 4129
 
7.6%
r 3899
 
7.1%
n 3502
 
6.4%
t 3470
 
6.4%
s 3245
 
5.9%
l 2732
 
5.0%
c 2701
 
4.9%
Other values (18) 14905
27.3%
Uppercase Letter
ValueCountFrequency (%)
S 355
 
12.3%
C 266
 
9.2%
P 242
 
8.4%
D 187
 
6.5%
B 175
 
6.0%
M 166
 
5.7%
R 132
 
4.6%
K 130
 
4.5%
A 127
 
4.4%
E 126
 
4.4%
Other values (16) 989
34.2%
Decimal Number
ValueCountFrequency (%)
1 12
23.1%
0 10
19.2%
3 8
15.4%
9 8
15.4%
2 5
9.6%
6 4
 
7.7%
4 3
 
5.8%
7 1
 
1.9%
5 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 229
65.6%
, 82
 
23.5%
' 20
 
5.7%
. 8
 
2.3%
& 7
 
2.0%
" 2
 
0.6%
; 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 88
88.9%
] 11
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 87
88.8%
[ 11
 
11.2%
Control
ValueCountFrequency (%)
58
92.1%
5
 
7.9%
Space Separator
ValueCountFrequency (%)
5850
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Format
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 57462
89.6%
Common 6685
 
10.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6750
 
11.7%
a 4925
 
8.6%
i 4309
 
7.5%
o 4129
 
7.2%
r 3899
 
6.8%
n 3502
 
6.1%
t 3470
 
6.0%
s 3245
 
5.6%
l 2732
 
4.8%
c 2701
 
4.7%
Other values (44) 17800
31.0%
Common
ValueCountFrequency (%)
5850
87.5%
/ 229
 
3.4%
- 172
 
2.6%
) 88
 
1.3%
( 87
 
1.3%
, 82
 
1.2%
58
 
0.9%
' 20
 
0.3%
1 12
 
0.2%
] 11
 
0.2%
Other values (15) 76
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64143
> 99.9%
Punctuation 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 6750
 
10.5%
5850
 
9.1%
a 4925
 
7.7%
i 4309
 
6.7%
o 4129
 
6.4%
r 3899
 
6.1%
n 3502
 
5.5%
t 3470
 
5.4%
s 3245
 
5.1%
l 2732
 
4.3%
Other values (66) 21332
33.3%
Punctuation
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
é 1
50.0%
ç 1
50.0%
Distinct47
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
제29류
778 
제30류
742 
제3류
312 
제10류
244 
제9류
193 
Other values (42)
1282 

Length

Max length5
Median length4
Mean length3.7369755
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row제3류
2nd row제10류
3rd row제29류
4th row제7류
5th row제30류

Common Values

ValueCountFrequency (%)
제29류 778
21.9%
제30류 742
20.9%
제3류 312
8.8%
제10류 244
 
6.9%
제9류 193
 
5.4%
제5류 181
 
5.1%
제31류 155
 
4.4%
제32류 129
 
3.6%
제11류 102
 
2.9%
제7류 94
 
2.6%
Other values (37) 621
17.5%

Length

2023-12-12T14:00:07.977869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제29류 781
22.0%
제30류 746
21.0%
제3류 312
 
8.8%
제10류 244
 
6.9%
제9류 194
 
5.5%
제5류 184
 
5.2%
제31류 155
 
4.4%
제32류 129
 
3.6%
제11류 102
 
2.9%
제7류 99
 
2.8%
Other values (32) 605
17.0%
Distinct51
Distinct (%)1.4%
Missing6
Missing (%)0.2%
Memory size27.9 KiB
2023-12-12T14:00:08.185599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.7342736
Min length6

Characters and Unicode

Total characters23873
Distinct characters16
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

Unique9 ?
Unique (%)0.3%

Sample

1st rowClass3
2nd rowClass10
3rd rowClass29
4th rowClass7
5th rowClass30
ValueCountFrequency (%)
class29 780
22.0%
class30 749
21.1%
class3 311
 
8.8%
class10 244
 
6.9%
class9 196
 
5.5%
class5 181
 
5.1%
class31 153
 
4.3%
class32 129
 
3.6%
class11 101
 
2.8%
class7 98
 
2.8%
Other values (31) 603
17.0%
2023-12-12T14:00:08.570918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 7091
29.7%
l 3545
14.8%
a 3545
14.8%
C 3534
14.8%
3 1450
 
6.1%
2 1148
 
4.8%
0 1054
 
4.4%
9 1025
 
4.3%
1 894
 
3.7%
5 223
 
0.9%
Other values (6) 364
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14192
59.4%
Decimal Number 6139
25.7%
Uppercase Letter 3534
 
14.8%
Space Separator 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1450
23.6%
2 1148
18.7%
0 1054
17.2%
9 1025
16.7%
1 894
14.6%
5 223
 
3.6%
7 122
 
2.0%
6 95
 
1.5%
4 69
 
1.1%
8 59
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
s 7091
50.0%
l 3545
25.0%
a 3545
25.0%
c 11
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 3534
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17726
74.3%
Common 6147
 
25.7%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1450
23.6%
2 1148
18.7%
0 1054
17.1%
9 1025
16.7%
1 894
14.5%
5 223
 
3.6%
7 122
 
2.0%
6 95
 
1.5%
4 69
 
1.1%
8 59
 
1.0%
Latin
ValueCountFrequency (%)
s 7091
40.0%
l 3545
20.0%
a 3545
20.0%
C 3534
19.9%
c 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 7091
29.7%
l 3545
14.8%
a 3545
14.8%
C 3534
14.8%
3 1450
 
6.1%
2 1148
 
4.8%
0 1054
 
4.4%
9 1025
 
4.3%
1 894
 
3.7%
5 223
 
0.9%
Other values (6) 364
 
1.5%

상품소개(국문)
Text

MISSING 

Distinct3437
Distinct (%)97.8%
Missing38
Missing (%)1.1%
Memory size27.9 KiB
2023-12-12T14:00:09.007229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length505
Median length206
Mean length59.836038
Min length1

Characters and Unicode

Total characters210204
Distinct characters1275
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3387 ?
Unique (%)96.4%

Sample

1st row깊은 바닷물과 함께 제주 알로에 추출물로 만든 촉촉한 진정 젤로 얼굴 피부에 깊은 수분을 공급해 줍니다.
2nd row돔 형태의 구조에 온열히터를 설치하여 히터로부터 발생하는 온열로 근육통 완화 등에 사용하는 기기입니다.
3rd row외국인을 위하여 개발된 제품으로 저염, 저지방으로 식사 및 안주용으로 많이 애용되고 있습니다.
4th row건식선탄선별기(AVORTEX)란 물을 사용하지 않고 원탄에서 정탄과 맥석을 공기의 흐름으로 순간적으로 분리하는 선별기로서 현재 다수의 광산에서 사용하는 습식 선별기를 대체/보완할 수 있는 기계입니다. 건식선탄으로 폐수를 발생하지 않아 경제적이며, 석탄을 고품질로 만드는 최고의 기술을 실현합니다.
5th row새싹작물은 다양한 제품으로 우리의 면역력 증강에 도움을 줍니다. NK 세포 활성화하는 '브로콜리'성분으롱 환절기 면역력 강화부터 바이러스 방어까지 면역력 증진에 효과적이라고 알려진 사포닌, 프로폴리스, 베타글루칸 등의 다른 영양소들보다 최대 1000배 이상 함유되어있습니다.
ValueCountFrequency (%)
494
 
1.0%
388
 
0.8%
있습니다 312
 
0.6%
있는 271
 
0.6%
만든 254
 
0.5%
201
 
0.4%
국내산 165
 
0.3%
좋은 138
 
0.3%
100 130
 
0.3%
맛과 117
 
0.2%
Other values (21176) 45640
94.9%
2023-12-12T14:00:09.750813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44829
 
21.3%
3222
 
1.5%
, 2818
 
1.3%
2768
 
1.3%
2712
 
1.3%
2653
 
1.3%
2574
 
1.2%
2516
 
1.2%
2456
 
1.2%
2346
 
1.1%
Other values (1265) 141310
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148666
70.7%
Space Separator 44829
 
21.3%
Other Punctuation 6299
 
3.0%
Lowercase Letter 3333
 
1.6%
Uppercase Letter 3074
 
1.5%
Decimal Number 3054
 
1.5%
Close Punctuation 311
 
0.1%
Open Punctuation 309
 
0.1%
Dash Punctuation 130
 
0.1%
Math Symbol 120
 
0.1%
Other values (7) 79
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3222
 
2.2%
2768
 
1.9%
2712
 
1.8%
2653
 
1.8%
2574
 
1.7%
2516
 
1.7%
2456
 
1.7%
2346
 
1.6%
2301
 
1.5%
2109
 
1.4%
Other values (1156) 123009
82.7%
Uppercase Letter
ValueCountFrequency (%)
C 249
 
8.1%
E 242
 
7.9%
P 232
 
7.5%
D 215
 
7.0%
S 214
 
7.0%
A 190
 
6.2%
T 179
 
5.8%
M 167
 
5.4%
L 166
 
5.4%
I 158
 
5.1%
Other values (18) 1062
34.5%
Lowercase Letter
ValueCountFrequency (%)
e 383
11.5%
i 257
 
7.7%
a 252
 
7.6%
o 249
 
7.5%
r 248
 
7.4%
m 230
 
6.9%
t 224
 
6.7%
l 223
 
6.7%
n 195
 
5.9%
s 140
 
4.2%
Other values (17) 932
28.0%
Other Punctuation
ValueCountFrequency (%)
, 2818
44.7%
. 2232
35.4%
/ 580
 
9.2%
% 295
 
4.7%
: 116
 
1.8%
! 112
 
1.8%
' 56
 
0.9%
& 37
 
0.6%
" 27
 
0.4%
· 11
 
0.2%
Other values (4) 15
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 966
31.6%
1 591
19.4%
2 335
 
11.0%
5 253
 
8.3%
3 234
 
7.7%
4 180
 
5.9%
6 142
 
4.6%
9 133
 
4.4%
8 116
 
3.8%
7 104
 
3.4%
Other Symbol
ValueCountFrequency (%)
9
42.9%
° 4
19.0%
4
19.0%
1
 
4.8%
® 1
 
4.8%
1
 
4.8%
1
 
4.8%
Math Symbol
ValueCountFrequency (%)
~ 78
65.0%
+ 30
 
25.0%
× 7
 
5.8%
< 2
 
1.7%
> 2
 
1.7%
= 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 302
97.1%
] 9
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 300
97.1%
[ 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 128
98.5%
2
 
1.5%
Control
ValueCountFrequency (%)
13
92.9%
1
 
7.1%
Initial Punctuation
ValueCountFrequency (%)
8
57.1%
6
42.9%
Final Punctuation
ValueCountFrequency (%)
8
53.3%
7
46.7%
Modifier Symbol
ValueCountFrequency (%)
^ 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
44829
100.0%
Format
ValueCountFrequency (%)
9
100.0%
Other Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148665
70.7%
Common 55130
 
26.2%
Latin 6404
 
3.0%
Greek 3
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3222
 
2.2%
2768
 
1.9%
2712
 
1.8%
2653
 
1.8%
2574
 
1.7%
2516
 
1.7%
2456
 
1.7%
2346
 
1.6%
2301
 
1.5%
2109
 
1.4%
Other values (1155) 123008
82.7%
Common
ValueCountFrequency (%)
44829
81.3%
, 2818
 
5.1%
. 2232
 
4.0%
0 966
 
1.8%
1 591
 
1.1%
/ 580
 
1.1%
2 335
 
0.6%
) 302
 
0.5%
( 300
 
0.5%
% 295
 
0.5%
Other values (43) 1882
 
3.4%
Latin
ValueCountFrequency (%)
e 383
 
6.0%
i 257
 
4.0%
a 252
 
3.9%
o 249
 
3.9%
C 249
 
3.9%
r 248
 
3.9%
E 242
 
3.8%
P 232
 
3.6%
m 230
 
3.6%
t 224
 
3.5%
Other values (42) 3838
59.9%
Greek
ValueCountFrequency (%)
1
33.3%
δ 1
33.3%
Φ 1
33.3%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148656
70.7%
ASCII 61452
29.2%
Punctuation 40
 
< 0.1%
None 29
 
< 0.1%
Letterlike Symbols 14
 
< 0.1%
Compat Jamo 8
 
< 0.1%
CJK Compat 2
 
< 0.1%
CJK 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44829
72.9%
, 2818
 
4.6%
. 2232
 
3.6%
0 966
 
1.6%
1 591
 
1.0%
/ 580
 
0.9%
e 383
 
0.6%
2 335
 
0.5%
) 302
 
0.5%
( 300
 
0.5%
Other values (79) 8116
 
13.2%
Hangul
ValueCountFrequency (%)
3222
 
2.2%
2768
 
1.9%
2712
 
1.8%
2653
 
1.8%
2574
 
1.7%
2516
 
1.7%
2456
 
1.7%
2346
 
1.6%
2301
 
1.5%
2109
 
1.4%
Other values (1151) 122999
82.7%
None
ValueCountFrequency (%)
· 11
37.9%
× 7
24.1%
° 4
 
13.8%
3
 
10.3%
δ 1
 
3.4%
® 1
 
3.4%
Φ 1
 
3.4%
1
 
3.4%
Punctuation
ValueCountFrequency (%)
9
22.5%
8
20.0%
8
20.0%
7
17.5%
6
15.0%
2
 
5.0%
Letterlike Symbols
ValueCountFrequency (%)
9
64.3%
4
28.6%
1
 
7.1%
Compat Jamo
ValueCountFrequency (%)
6
75.0%
1
 
12.5%
1
 
12.5%
CJK Compat
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

상품소개(영문)
Text

MISSING 

Distinct3419
Distinct (%)97.9%
Missing57
Missing (%)1.6%
Memory size27.9 KiB
2023-12-12T14:00:10.204751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length894
Median length357
Mean length136.72238
Min length7

Characters and Unicode

Total characters477708
Distinct characters168
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3371 ?
Unique (%)96.5%

Sample

1st rowcomplete deep hydration on your facial skin, moisturzing soothing gel made of jeju aloe extract with deep sea water
2nd rowIt is a device that is used to relieve muscle pain by installing a thermal heater in a dome-shaped structure.
3rd rowAs made of low-salt and low-fat products for overseas products, It’s popular food in meals and appetizer.
4th rowA dry coal separator (AVORTEX) is a separator that instantaneously separates crystalline and malt from raw coal into the flow of air without the use of water, and can replace/supplement the wet separator currently used in many mines. Dry coal does not generate wastewater, making it economical and the best technology to make coal high quality.
5th rowSprout crops help boost our immunity with a variety of products. NK cell-activated "broccoli" ingredient contains up to 1,000 times more nutrients than other nutrients such as saponin, propolis, and beta-glucan, which are known to be effective in enhancing immunity from change of seasons to virus defense.
ValueCountFrequency (%)
and 4035
 
5.3%
the 2957
 
3.9%
a 2132
 
2.8%
of 1975
 
2.6%
is 1824
 
2.4%
it 1511
 
2.0%
in 1234
 
1.6%
to 1226
 
1.6%
with 1219
 
1.6%
that 925
 
1.2%
Other values (9192) 57538
75.1%
2023-12-12T14:00:10.878232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73240
15.3%
e 43930
 
9.2%
a 33874
 
7.1%
t 33239
 
7.0%
i 30797
 
6.4%
n 29145
 
6.1%
o 27527
 
5.8%
s 24443
 
5.1%
r 23322
 
4.9%
d 16621
 
3.5%
Other values (158) 141570
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 380444
79.6%
Space Separator 73240
 
15.3%
Uppercase Letter 10185
 
2.1%
Other Punctuation 8769
 
1.8%
Decimal Number 2801
 
0.6%
Dash Punctuation 1411
 
0.3%
Close Punctuation 281
 
0.1%
Open Punctuation 274
 
0.1%
Control 94
 
< 0.1%
Other Letter 78
 
< 0.1%
Other values (7) 131
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (50) 53
67.9%
Lowercase Letter
ValueCountFrequency (%)
e 43930
11.5%
a 33874
 
8.9%
t 33239
 
8.7%
i 30797
 
8.1%
n 29145
 
7.7%
o 27527
 
7.2%
s 24443
 
6.4%
r 23322
 
6.1%
d 16621
 
4.4%
l 15859
 
4.2%
Other values (19) 101687
26.7%
Uppercase Letter
ValueCountFrequency (%)
I 1341
 
13.2%
T 838
 
8.2%
S 757
 
7.4%
A 742
 
7.3%
C 731
 
7.2%
P 569
 
5.6%
E 498
 
4.9%
D 472
 
4.6%
M 423
 
4.2%
G 418
 
4.1%
Other values (17) 3396
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4521
51.6%
. 2597
29.6%
/ 554
 
6.3%
' 456
 
5.2%
% 285
 
3.3%
: 125
 
1.4%
! 101
 
1.2%
" 66
 
0.8%
& 43
 
0.5%
* 7
 
0.1%
Other values (4) 14
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 949
33.9%
1 532
19.0%
2 281
 
10.0%
5 223
 
8.0%
3 195
 
7.0%
4 158
 
5.6%
6 132
 
4.7%
9 130
 
4.6%
8 105
 
3.7%
7 96
 
3.4%
Math Symbol
ValueCountFrequency (%)
+ 29
43.3%
~ 20
29.9%
× 13
19.4%
> 2
 
3.0%
< 2
 
3.0%
= 1
 
1.5%
Other Symbol
ValueCountFrequency (%)
8
40.0%
° 7
35.0%
3
 
15.0%
1
 
5.0%
1
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1407
99.7%
3
 
0.2%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 271
96.4%
] 10
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 264
96.4%
[ 10
 
3.6%
Control
ValueCountFrequency (%)
90
95.7%
4
 
4.3%
Final Punctuation
ValueCountFrequency (%)
15
71.4%
6
 
28.6%
Initial Punctuation
ValueCountFrequency (%)
4
57.1%
3
42.9%
Space Separator
ValueCountFrequency (%)
73240
100.0%
Format
ValueCountFrequency (%)
13
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 390627
81.8%
Common 87001
 
18.2%
Hangul 78
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
5.1%
4
 
5.1%
3
 
3.8%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (50) 53
67.9%
Latin
ValueCountFrequency (%)
e 43930
 
11.2%
a 33874
 
8.7%
t 33239
 
8.5%
i 30797
 
7.9%
n 29145
 
7.5%
o 27527
 
7.0%
s 24443
 
6.3%
r 23322
 
6.0%
d 16621
 
4.3%
l 15859
 
4.1%
Other values (44) 111870
28.6%
Common
ValueCountFrequency (%)
73240
84.2%
, 4521
 
5.2%
. 2597
 
3.0%
- 1407
 
1.6%
0 949
 
1.1%
/ 554
 
0.6%
1 532
 
0.6%
' 456
 
0.5%
% 285
 
0.3%
2 281
 
0.3%
Other values (42) 2179
 
2.5%
Greek
ValueCountFrequency (%)
δ 1
50.0%
Φ 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 477545
> 99.9%
Hangul 73
 
< 0.1%
Punctuation 45
 
< 0.1%
None 27
 
< 0.1%
Letterlike Symbols 11
 
< 0.1%
Jamo 5
 
< 0.1%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73240
15.3%
e 43930
 
9.2%
a 33874
 
7.1%
t 33239
 
7.0%
i 30797
 
6.4%
n 29145
 
6.1%
o 27527
 
5.8%
s 24443
 
5.1%
r 23322
 
4.9%
d 16621
 
3.5%
Other values (79) 141407
29.6%
Punctuation
ValueCountFrequency (%)
15
33.3%
13
28.9%
6
 
13.3%
4
 
8.9%
3
 
6.7%
3
 
6.7%
1
 
2.2%
None
ValueCountFrequency (%)
× 13
48.1%
° 7
25.9%
é 2
 
7.4%
· 1
 
3.7%
ñ 1
 
3.7%
δ 1
 
3.7%
1
 
3.7%
Φ 1
 
3.7%
Letterlike Symbols
ValueCountFrequency (%)
8
72.7%
3
 
27.3%
Hangul
ValueCountFrequency (%)
4
 
5.5%
4
 
5.5%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (46) 48
65.8%
Jamo
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
CJK Compat
ValueCountFrequency (%)
1
50.0%
1
50.0%

MOQ
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3549
Missing (%)99.9%
Memory size27.9 KiB
Distinct96
Distinct (%)3.1%
Missing498
Missing (%)14.0%
Memory size27.9 KiB
2023-12-12T14:00:11.196055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length4
Mean length4.196528
Min length2

Characters and Unicode

Total characters12812
Distinct characters133
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)2.4%

Sample

1st row대한민국
2nd row대한민국
3rd row대한민국
4th row대한민국
5th row대한민국
ValueCountFrequency (%)
대한민국 2871
89.3%
76
 
2.4%
러시아 50
 
1.6%
중국 49
 
1.5%
에티오피아 13
 
0.4%
미국 11
 
0.3%
케냐 9
 
0.3%
오스트레일리아 9
 
0.3%
콜롬비아 9
 
0.3%
베트남 8
 
0.2%
Other values (72) 111
 
3.5%
2023-12-12T14:00:11.759695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2970
23.2%
2881
22.5%
2880
22.5%
2880
22.5%
175
 
1.4%
/ 112
 
0.9%
104
 
0.8%
61
 
0.5%
60
 
0.5%
59
 
0.5%
Other values (123) 630
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12480
97.4%
Space Separator 175
 
1.4%
Other Punctuation 114
 
0.9%
Open Punctuation 18
 
0.1%
Close Punctuation 18
 
0.1%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2970
23.8%
2881
23.1%
2880
23.1%
2880
23.1%
104
 
0.8%
61
 
0.5%
60
 
0.5%
59
 
0.5%
29
 
0.2%
20
 
0.2%
Other values (117) 536
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 112
98.2%
, 2
 
1.8%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12480
97.4%
Common 332
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2970
23.8%
2881
23.1%
2880
23.1%
2880
23.1%
104
 
0.8%
61
 
0.5%
60
 
0.5%
59
 
0.5%
29
 
0.2%
20
 
0.2%
Other values (117) 536
 
4.3%
Common
ValueCountFrequency (%)
175
52.7%
/ 112
33.7%
( 18
 
5.4%
) 18
 
5.4%
- 7
 
2.1%
, 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12480
97.4%
ASCII 332
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2970
23.8%
2881
23.1%
2880
23.1%
2880
23.1%
104
 
0.8%
61
 
0.5%
60
 
0.5%
59
 
0.5%
29
 
0.2%
20
 
0.2%
Other values (117) 536
 
4.3%
ASCII
ValueCountFrequency (%)
175
52.7%
/ 112
33.7%
( 18
 
5.4%
) 18
 
5.4%
- 7
 
2.1%
, 2
 
0.6%

운송수단
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing3547
Missing (%)99.9%
Memory size27.9 KiB
2023-12-12T14:00:11.921850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length3.75
Min length2

Characters and Unicode

Total characters15
Distinct characters7
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

Unique1 ?
Unique (%)25.0%

Sample

1st row
2nd rowAIR / SEA
3rd row
4th row
ValueCountFrequency (%)
air 1
33.3%
1
33.3%
sea 1
33.3%
2023-12-12T14:00:12.261541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
53.3%
A 2
 
13.3%
I 1
 
6.7%
R 1
 
6.7%
/ 1
 
6.7%
S 1
 
6.7%
E 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Space Separator 8
53.3%
Uppercase Letter 6
40.0%
Other Punctuation 1
 
6.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
I 1
16.7%
R 1
16.7%
S 1
16.7%
E 1
16.7%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
60.0%
Latin 6
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2
33.3%
I 1
16.7%
R 1
16.7%
S 1
16.7%
E 1
16.7%
Common
ValueCountFrequency (%)
8
88.9%
/ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
53.3%
A 2
 
13.3%
I 1
 
6.7%
R 1
 
6.7%
/ 1
 
6.7%
S 1
 
6.7%
E 1
 
6.7%

인증현황
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)1.7%
Missing1385
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean5.0812558
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.3 KiB
2023-12-12T14:00:12.473095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile14
Maximum73
Range72
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.5889437
Coefficient of variation (CV)1.2967156
Kurtosis28.145932
Mean5.0812558
Median Absolute Deviation (MAD)2
Skewness4.551442
Sum11006
Variance43.41418
MonotonicityNot monotonic
2023-12-12T14:00:12.682208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 485
 
13.7%
2 365
 
10.3%
3 363
 
10.2%
4 184
 
5.2%
5 157
 
4.4%
6 123
 
3.5%
7 87
 
2.5%
9 74
 
2.1%
8 73
 
2.1%
10 49
 
1.4%
Other values (27) 206
 
5.8%
(Missing) 1385
39.0%
ValueCountFrequency (%)
1 485
13.7%
2 365
10.3%
3 363
10.2%
4 184
 
5.2%
5 157
 
4.4%
6 123
 
3.5%
7 87
 
2.5%
8 73
 
2.1%
9 74
 
2.1%
10 49
 
1.4%
ValueCountFrequency (%)
73 1
 
< 0.1%
58 6
0.2%
51 2
 
0.1%
50 2
 
0.1%
48 6
0.2%
46 1
 
< 0.1%
38 2
 
0.1%
37 4
0.1%
34 5
0.1%
32 4
0.1%

특허현황
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2130
Missing (%)60.0%
Memory size27.9 KiB

Unnamed: 29
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.9 KiB
<NA>
3523 
수정
 
19
정상
 
7
PI3K-δ는 기술용어임
 
1
yellow flesh 가 맞음 (노란 속살)
 
1

Length

Max length25
Median length4
Mean length3.9938046
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3523
99.2%
수정 19
 
0.5%
정상 7
 
0.2%
PI3K-δ는 기술용어임 1
 
< 0.1%
yellow flesh 가 맞음 (노란 속살) 1
 
< 0.1%

Length

2023-12-12T14:00:12.851074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:00:13.015542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3523
99.0%
수정 19
 
0.5%
정상 7
 
0.2%
pi3k-δ는 1
 
< 0.1%
기술용어임 1
 
< 0.1%
yellow 1
 
< 0.1%
flesh 1
 
< 0.1%
1
 
< 0.1%
맞음 1
 
< 0.1%
노란 1
 
< 0.1%

Sample

순번기업명사업자번호기업유형대표자명매출현황주소지임직원 수수출희망국가수출실적여부수출실적(일자)수출실적(국가)수출실적(거래기업명)수출실적(물동량)수출실적(항구 및 공항)상품명(영문)모델명HS CODE(6자리)상품키워드(국문)상품키워드(영문)상품구분(NICE)상품구분(영문)상품소개(국문)상품소개(영문)MOQ생산국가(원산지)운송수단인증현황특허현황Unnamed: 29
01(주)지원바이오667-87-00459중소기업김우식1644강원도 춘천시 서면 신매리 441-29<NA>Y<NA>미국 / 일본 / 중국 / 대만 / 말레이시아 / 베트남 / 싱가포르 / 튀르키예 / 폴란드 / 홍콩(중국)<NA><NA><NA>Deep Water Moisture Aloe Vera Soothing Gel심해수 모이스처 알로에 베라 수딩 젤330499수딩젤Soothing gel제3류Class3깊은 바닷물과 함께 제주 알로에 추출물로 만든 촉촉한 진정 젤로 얼굴 피부에 깊은 수분을 공급해 줍니다.complete deep hydration on your facial skin, moisturzing soothing gel made of jeju aloe extract with deep sea waterNaN대한민국<NA>20NaN<NA>
12(주)천궁의료기224-81-37359중소기업김찬휘1968강원도 원주시 흥업면 대안리 393-620미국 / 베트남 / 콜롬비아 / 중국Y2019미국 / 베트남 / 콜롬비아<NA><NA><NA>a medical warmerCDM-2009B901890의료용 온열기a medical warmer제10류Class10돔 형태의 구조에 온열히터를 설치하여 히터로부터 발생하는 온열로 근육통 완화 등에 사용하는 기기입니다.It is a device that is used to relieve muscle pain by installing a thermal heater in a dome-shaped structure.NaN<NA><NA>67<NA>
23(주)청해에스엔디227-81-09060중소기업노영국3974강원도 고성군 토성면 청간리 210-1418중국 / 말레이시아 / 오스트레일리아Y2013-03미국 / 일본 / 대만 / 중국 / 싱가포르<NA><NA><NA>Our Latest NewsSEAWEED LOVE200899조미김Our Latest News제29류Class29외국인을 위하여 개발된 제품으로 저염, 저지방으로 식사 및 안주용으로 많이 애용되고 있습니다.As made of low-salt and low-fat products for overseas products, It’s popular food in meals and appetizer.NaN<NA><NA>4NaN<NA>
34(주)케이에이티365-86-00838중소기업안중원5강원도 춘천시 효자동 681-138중국 / 몽골Y<NA>베트남 / 인도네시아<NA><NA><NA>a dry coal sorterAVORTEX847410건식석탄선별기AVORTEX제7류Class7건식선탄선별기(AVORTEX)란 물을 사용하지 않고 원탄에서 정탄과 맥석을 공기의 흐름으로 순간적으로 분리하는 선별기로서 현재 다수의 광산에서 사용하는 습식 선별기를 대체/보완할 수 있는 기계입니다. 건식선탄으로 폐수를 발생하지 않아 경제적이며, 석탄을 고품질로 만드는 최고의 기술을 실현합니다.A dry coal separator (AVORTEX) is a separator that instantaneously separates crystalline and malt from raw coal into the flow of air without the use of water, and can replace/supplement the wet separator currently used in many mines. Dry coal does not generate wastewater, making it economical and the best technology to make coal high quality.NaN<NA><NA>411<NA>
45(주)케이푸드131-87-02128중소기업최태영79강원도 원주시 우산동 660, 상지대학교5<NA>Y<NA><NA><NA><NA><NA>sprout barleyNaN110320새싹보리sprout barley제30류Class30새싹작물은 다양한 제품으로 우리의 면역력 증강에 도움을 줍니다. NK 세포 활성화하는 '브로콜리'성분으롱 환절기 면역력 강화부터 바이러스 방어까지 면역력 증진에 효과적이라고 알려진 사포닌, 프로폴리스, 베타글루칸 등의 다른 영양소들보다 최대 1000배 이상 함유되어있습니다.Sprout crops help boost our immunity with a variety of products. NK cell-activated "broccoli" ingredient contains up to 1,000 times more nutrients than other nutrients such as saponin, propolis, and beta-glucan, which are known to be effective in enhancing immunity from change of seasons to virus defense.NaN대한민국<NA>24<NA>
56(주)파지아노컴퍼니845-81-01546중소기업임영대55강원도 원주시 우산동 533-11<NA>N<NA><NA><NA><NA><NA>Faziano Cold BrewNaN210111커피Coffee제30류Class30100% 아라비카 원두 사용/예가체프,만델링,온두라스 원두 사용/예가체프 G2 원두 50% 함유/예까체프만의 꽃향기/쓰지않고 달달한 맛/적당한 바디감과 부드러움100% Arabica beans used / Yirgacheffe, Mandeling, Honduras beans used / 50% Yirgacheffe G2 beans contained / Yekacheffe’s unique floral scent / Non-bitter sweet taste / Moderate body and softnessNaN대한민국<NA>1NaN<NA>
67(주)펩토이드482-81-01141중소기업정하윤151강원도 원주시 흥업면 흥업리 산66, 한라대학교 창업보육센터 2관 107호5<NA>Y<NA>미국 / 일본 / 중국 / 베트남<NA><NA><NA>minimalin simple recipe peptide layering cream미니멀린 심플레서피 펩타이드 레이어링 크림 50ml330499기초화장품Basic cosmetics제3류Class3PH 5.5-6사이의 약산성 크림으로 무너진 PH밸런스를 바로잡아 건강하게 피부를 케어A weakly acidic cream with a pH of 5.5-6 corrects the broken PH balance to keep the skin healthyNaN대한민국<NA>2NaN<NA>
78(주)낙천222-81-24940중소기업성재기1395강원도 동해시 구호동 235-65베트남Y2018중국 / 인도네시아 / 일본 / 홍콩(중국)<NA><NA><NA>Jijangsu Raw MakgeolliNaN220600막걸리Makgeolli제33류Class33황토성분이 부드럽게 스미듯 신선하고 톡쏘는 맛! 감칠맛과 부드러운 느낌As if the ocher ingredient is gently permeating! Great flavor and soft textureNaN대한민국<NA>2NaN<NA>
89(주)엘피스메디칼126-86-63029중소기업황재천1451강원도 춘천시 동내면 학곡리 71-56<NA>Y<NA>베트남 / 인도네시아 / 필리핀 / 말레이시아 / 몽골 / 우즈베키스탄 / 우크라이나<NA><NA><NA>Solar Max LED 160 + 80NaN851310LED수술등(무영등)LED surgical light (an astral lamp)제10류Class10돔 사이즈 : 830mm / 최대조명(럭스) : 180,000 / LED 수 : 160개의 LED / 램프 유형 : 양방향 렌즈 / LED 수명 : 50,000시간Dome Size : 830mm / Max. Illumination (Lux) : 180,000Lux / Number of LEDs : 160 LEDs / Lamp type : Bi Conves Lens / LED Life time : 50,000 HoursNaN<NA><NA>41<NA>
910(주)메타신224-81-48351중소기업박배근302강원도 원주시 흥업면 매지리 1272, 첨단의료기기벤처센터 409호3미국 / 중국Y<NA>미국 / 중국<NA><NA><NA>LasRhinaLRA-V200-GSP-7710901320레이저 알레르기성 비염 치료 조사기Laser Allergic Rhinitis Treatment Device제10류Class10알레르기성 비염 / 코막힘.코가려움 / 재채기 / 급.만성 비염 치료Allergic rhinitis / Clogged nose Itchy nose Runny nose / Sneezing/RhinitisNaN대한민국<NA>113<NA>
순번기업명사업자번호기업유형대표자명매출현황주소지임직원 수수출희망국가수출실적여부수출실적(일자)수출실적(국가)수출실적(거래기업명)수출실적(물동량)수출실적(항구 및 공항)상품명(영문)모델명HS CODE(6자리)상품키워드(국문)상품키워드(영문)상품구분(NICE)상품구분(영문)상품소개(국문)상품소개(영문)MOQ생산국가(원산지)운송수단인증현황특허현황Unnamed: 29
35413542(주)미래코퍼레이션129-81-81851중소기업강진철2634강원도 횡성군 횡성읍 개전리 2629<NA>Y<NA>미국 / 중국 / 영국<NA><NA><NA>Sheffield 3m self-locking tape measureNaN901780줄자measuring rules제9류Class9줄자를 꺼내면 별다른 장치없이 스스로 멈춰있으며 그립감이 좋은 소재로 손에서 쉽게 미끄러지지 않아 작업이 수월합니다.When you take out a tape measure, it stops on its own without any other device, and it does not slip easily from the hand with a good grip material, making it easy to work.NaN대한민국<NA>6NaN<NA>
35423543(주)미래코퍼레이션129-81-81851중소기업강진철2634강원도 횡성군 횡성읍 개전리 2629<NA>Y<NA>미국 / 중국 / 영국<NA><NA><NA>Sheffield Steel Handle 3 340 gNaN820520망치gavels제8류Class8그립감이 좋은 손잡이로 작업시 손이 쉽게 미끄러지지 않습니다The grip handle prevents your hand from slipping easily when workingNaN대한민국<NA>6NaN<NA>
35433544성화푸드422-08-00531중소기업정효선1125강원도 춘천시 퇴계동 1001-15일본N<NA><NA><NA><NA><NA>Soy Sauce Dak-galbi5078730950160232닭갈비Dak-galbi제29류Class29성화푸드 간장닭갈비는 당일손질한 국내산 냉장 넓적다리 통살을 사용해 부드럽고 쫄깃한 육질은 물론, 적당히 짭짤한 맛이 나고, 나주배 특유의 시원한 단맛이 감칠맛을 돋우는 특제 닭갈비소스에 재워 누구나 맛있게 즐기실 수 있습니다.Seonghwa Food's soy sauce chicken ribs are seasoned with a special dakgalbi sauce that not only has soft and chewy meat, but also has a moderately salty taste, and the unique cool sweetness of Naju pear enhances the savory taste, so anyone can enjoy it.NaN대한민국<NA><NA>NaN<NA>
35443545성화푸드422-08-00531중소기업정효선1125강원도 춘천시 퇴계동 1001-15일본N<NA><NA><NA><NA><NA>chicken gizzards537480745720714닭 모래주머니chicken gizzards제29류Class29낮은 칼로리와 높은 영양가를 자랑하는 닭 근위를 소금구이로 즐기실 수 있도록 준비했습니다. 매콤한 맛과 씹는 즐거움이 살아나는 오독오독 쫄깃한 식감이 일품입니다.We have prepared a grilled chicken with salt so that you can enjoy low calories and high nutritional value. It has a crunchy texture that brings out the spicy taste and the joy of chewing.NaN대한민국<NA><NA>NaN<NA>
35453546성화푸드422-08-00531중소기업정효선1125강원도 춘천시 퇴계동 1001-15일본N<NA><NA><NA><NA><NA>Chopped chicken540982236220714손질닭 볶음탕용for the seasoned chicken fried rice soup제29류Class29신선한 국내산 육계를 조리하기 편하게 손질 후 진공포장해서 급속냉동한 제품입니다.It is a product that is quickly frozen by vacuum packaging after trimming fresh domestic meat for easy cooking.NaN대한민국<NA><NA>NaN<NA>
35463547성화푸드422-08-00531중소기업정효선1125강원도 춘천시 퇴계동 1001-15일본N<NA><NA><NA><NA><NA>Cheese Dak-galbi5009080593160232닭갈비 / 치즈 달갈비Dak-galbi / Cheese Dak-galbi제29류Class29쫄깃하면서 촉촉한 당일 손질한 냉장 닭고기와 국산 나주배, 마늘, 생강이 듬뿍 들어간 건강한 수제 양념이 맛있는 춘천닭갈비입니다. 그리고 자연산 99% 모짜렐라를 솔솔 뿌려주면 자극적이지 않고 감칠맛 나는 치즈 닭갈비가 완성됩니다.Chuncheon Dakgalbi is delicious with chewy and moist day-to-day refrigerated chicken and healthy handmade seasoning full of domestic Naju pears, garlic, and ginger. And if you sprinkle 99% of the natural mozzarella, the cheese dakgalbi is not irritating and tasty.NaN대한민국<NA><NA>NaN<NA>
35473548예맥푸드846-06-01237중소기업이기래513강원도 춘천시 온의동 548-121<NA>N<NA><NA><NA><NA><NA>Soy Sauce Dak-galbi4953570975160232간장닭갈비Dak-galbi제29류Class29노하우로 탄생한 황금비율과 숙성과정으로 감칠맛과 깊은 맛이 납니다.The golden ratio and ripening process created by the know-how give it a rich and deep taste.NaN대한민국<NA><NA>NaN<NA>
35483549예맥푸드846-06-01237중소기업이기래513강원도 춘천시 온의동 548-121<NA>N<NA><NA><NA><NA><NA>Spicy boneless chicken feet5032314652160232닭발chicken feet제29류Class29엄격하게 선발된 신선한 국내산 닭발로 통통하게 살이 많고 뼈가 없어서 드시기 간편하고 좋습니다. 그리고 적당히 매콤함이 입안을 자극하여 자꾸 손이 가는 맛이 일품입니다.Selected fresh domestic chicken feet are chubby and have no bones, so they are easy to eat and good. And it is moderately spicy, so it stimulates the mouth and makes you keep eating.NaN대한민국<NA><NA>NaN<NA>
35493550예맥푸드846-06-01237중소기업이기래513강원도 춘천시 온의동 548-121<NA>N<NA><NA><NA><NA><NA>marinated grilled duck5022160728160239오리주물럭marinated grilled duck제29류Class29자체개발한 수제양념소스로 오리고기 특유의 잡내가 없고 숙성과정을 통해 감칠맛이 일품입니다.It is a homemade seasoning sauce developed by itself, and there is no unique smell of duck meat, and the flavor is excellent through the ripening process.NaN대한민국<NA><NA>NaN<NA>
35503551예맥푸드846-06-01237중소기업이기래513강원도 춘천시 온의동 548-121<NA>N<NA><NA><NA><NA><NA>Stir-fried chicken intestines5049846416160232닭내장볶음Stir-fried chicken intestines제29류Class29국내산 닭내장과 수제양념소스가 어우러진 별미메뉴입니다.It is a delicacy menu that combines domestic chicken intestines and handmade seasoning sauce.NaN대한민국<NA><NA>NaN<NA>