Overview

Dataset statistics

Number of variables5
Number of observations278
Missing cells211
Missing cells (%)15.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory42.5 B

Variable types

Numeric2
Text3

Dataset

Description한국농수산식품유통공사의 아그로트레이드 시스템에서 제공하는 중국수출제품정보로, 제품명, 업체명, 업체홈페이지 등의 정보
Author한국농수산식품유통공사
URLhttps://www.data.go.kr/data/15071819/fileData.do

Alerts

에이치에스코드 has 200 (71.9%) missing valuesMissing
홈페이지 has 11 (4.0%) missing valuesMissing
제품코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:47:18.130902
Analysis finished2023-12-12 08:47:19.195307
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제품코드
Real number (ℝ)

UNIQUE 

Distinct278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.61511
Minimum1
Maximum525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T17:47:19.284777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.85
Q193.25
median206.5
Q3400.25
95-th percentile493.25
Maximum525
Range524
Interquartile range (IQR)307

Descriptive statistics

Standard deviation164.97393
Coefficient of variation (CV)0.68563412
Kurtosis-1.4137446
Mean240.61511
Median Absolute Deviation (MAD)151.5
Skewness0.18854177
Sum66891
Variance27216.396
MonotonicityNot monotonic
2023-12-12T17:47:19.459494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 1
 
0.4%
372 1
 
0.4%
378 1
 
0.4%
363 1
 
0.4%
357 1
 
0.4%
352 1
 
0.4%
351 1
 
0.4%
353 1
 
0.4%
364 1
 
0.4%
327 1
 
0.4%
Other values (268) 268
96.4%
ValueCountFrequency (%)
1 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
11 1
0.4%
ValueCountFrequency (%)
525 1
0.4%
524 1
0.4%
523 1
0.4%
522 1
0.4%
521 1
0.4%
520 1
0.4%
519 1
0.4%
518 1
0.4%
517 1
0.4%
514 1
0.4%

제품명
Text

Distinct271
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T17:47:19.771162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length20.438849
Min length1

Characters and Unicode

Total characters5682
Distinct characters85
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)95.0%

Sample

1st rowQUEEN stick
2nd rowJUNIOR stick
3rd rowDangSinManeulSaRangHae
4th rowGeuNyeoManeulSaengGakHae
5th rowFresh Pomegranate Tea
ValueCountFrequency (%)
ginseng 28
 
3.3%
tea 25
 
2.9%
red 24
 
2.8%
14
 
1.6%
rice 14
 
1.6%
honey 13
 
1.5%
seaweed 12
 
1.4%
seasoned 11
 
1.3%
sweet 11
 
1.3%
korean 11
 
1.3%
Other values (419) 689
80.9%
2023-12-12T17:47:20.283437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
610
 
10.7%
e 529
 
9.3%
a 375
 
6.6%
n 304
 
5.4%
i 275
 
4.8%
o 267
 
4.7%
r 229
 
4.0%
l 170
 
3.0%
t 164
 
2.9%
c 146
 
2.6%
Other values (75) 2613
46.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3529
62.1%
Uppercase Letter 1341
 
23.6%
Space Separator 611
 
10.8%
Other Punctuation 46
 
0.8%
Open Punctuation 41
 
0.7%
Close Punctuation 41
 
0.7%
Dash Punctuation 31
 
0.5%
Decimal Number 27
 
0.5%
Other Letter 11
 
0.2%
Final Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 529
15.0%
a 375
10.6%
n 304
 
8.6%
i 275
 
7.8%
o 267
 
7.6%
r 229
 
6.5%
l 170
 
4.8%
t 164
 
4.6%
c 146
 
4.1%
s 134
 
3.8%
Other values (16) 936
26.5%
Uppercase Letter
ValueCountFrequency (%)
S 133
 
9.9%
E 98
 
7.3%
R 89
 
6.6%
A 87
 
6.5%
C 83
 
6.2%
O 76
 
5.7%
N 71
 
5.3%
G 66
 
4.9%
T 66
 
4.9%
I 65
 
4.8%
Other values (16) 507
37.8%
Other Letter
ValueCountFrequency (%)
豆 2
18.2%
口 1
9.1%
封 1
9.1%
杯 1
9.1%
粥 1
9.1%
蜂 1
9.1%
柚 1
9.1%
子 1
9.1%
茶 1
9.1%
蜜 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 6
22.2%
2 5
18.5%
3 4
14.8%
1 4
14.8%
6 3
11.1%
5 2
 
7.4%
4 1
 
3.7%
8 1
 
3.7%
7 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 16
34.8%
& 15
32.6%
% 6
 
13.0%
' 4
 
8.7%
/ 2
 
4.3%
. 2
 
4.3%
· 1
 
2.2%
Space Separator
ValueCountFrequency (%)
610
99.8%
　 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4870
85.7%
Common 801
 
14.1%
Han 11
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 529
 
10.9%
a 375
 
7.7%
n 304
 
6.2%
i 275
 
5.6%
o 267
 
5.5%
r 229
 
4.7%
l 170
 
3.5%
t 164
 
3.4%
c 146
 
3.0%
s 134
 
2.8%
Other values (42) 2277
46.8%
Common
ValueCountFrequency (%)
610
76.2%
( 41
 
5.1%
) 41
 
5.1%
- 31
 
3.9%
, 16
 
2.0%
& 15
 
1.9%
0 6
 
0.7%
% 6
 
0.7%
2 5
 
0.6%
' 4
 
0.5%
Other values (13) 26
 
3.2%
Han
ValueCountFrequency (%)
豆 2
18.2%
口 1
9.1%
封 1
9.1%
杯 1
9.1%
粥 1
9.1%
蜂 1
9.1%
柚 1
9.1%
子 1
9.1%
茶 1
9.1%
蜜 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5666
99.7%
CJK 10
 
0.2%
Punctuation 3
 
0.1%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
610
 
10.8%
e 529
 
9.3%
a 375
 
6.6%
n 304
 
5.4%
i 275
 
4.9%
o 267
 
4.7%
r 229
 
4.0%
l 170
 
3.0%
t 164
 
2.9%
c 146
 
2.6%
Other values (62) 2597
45.8%
Punctuation
ValueCountFrequency (%)
’ 3
100.0%
CJK
ValueCountFrequency (%)
豆 2
20.0%
口 1
10.0%
封 1
10.0%
杯 1
10.0%
粥 1
10.0%
蜂 1
10.0%
柚 1
10.0%
子 1
10.0%
蜜 1
10.0%
None
ValueCountFrequency (%)
· 1
50.0%
　 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

에이치에스코드
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)56.4%
Missing200
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean1.4715794 × 109
Minimum30429
Maximum2.209001 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T17:47:20.460778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30429
5-th percentile190219
Q11.1049992 × 109
median1.903009 × 109
Q32.101121 × 109
95-th percentile2.202909 × 109
Maximum2.209001 × 109
Range2.2089706 × 109
Interquartile range (IQR)9.9612175 × 108

Descriptive statistics

Standard deviation7.9633875 × 108
Coefficient of variation (CV)0.54114561
Kurtosis-0.58398773
Mean1.4715794 × 109
Median Absolute Deviation (MAD)2.518955 × 108
Skewness-0.96683512
Sum1.147832 × 1011
Variance6.3415541 × 1017
MonotonicityNot monotonic
2023-12-12T17:47:20.595800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2008301000 9
 
3.2%
2101121000 6
 
2.2%
1302191210 5
 
1.8%
2106904010 4
 
1.4%
1209913000 3
 
1.1%
2005909000 3
 
1.1%
2202909000 3
 
1.1%
2008999000 2
 
0.7%
1516109000 2
 
0.7%
210690 2
 
0.7%
Other values (34) 39
 
14.0%
(Missing) 200
71.9%
ValueCountFrequency (%)
30429 1
0.4%
130219 1
0.4%
170490 1
0.4%
190219 2
0.7%
190220 2
0.7%
190230 1
0.4%
200599 1
0.4%
210390 1
0.4%
210690 2
0.7%
220290 2
0.7%
ValueCountFrequency (%)
2209001000 1
 
0.4%
2202909002 1
 
0.4%
2202909000 3
1.1%
2202902000 1
 
0.4%
2202900000 1
 
0.4%
2106909099 1
 
0.4%
2106909010 1
 
0.4%
2106904010 4
1.4%
2106903029 1
 
0.4%
2106901090 1
 
0.4%

업체명
Text

Distinct106
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T17:47:20.905083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length32
Mean length18.741007
Min length1

Characters and Unicode

Total characters5210
Distinct characters81
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)14.7%

Sample

1st rowThe Manuka & Red Ginseng Co., Ltd
2nd rowThe Manuka & Red Ginseng Co., Ltd
3rd rowNewWayKorea Co., Ltd.
4th rowNewWayKorea Co., Ltd.
5th rowDa Jung Co.,Ltd
ValueCountFrequency (%)
co 123
 
14.3%
ltd 122
 
14.2%
food 33
 
3.8%
co.,ltd 30
 
3.5%
17
 
2.0%
agricultural 15
 
1.7%
corp 15
 
1.7%
farm 11
 
1.3%
inc 11
 
1.3%
corporation 11
 
1.3%
Other values (162) 470
54.8%
2023-12-12T17:47:21.432689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
 
11.4%
o 338
 
6.5%
. 317
 
6.1%
C 254
 
4.9%
L 211
 
4.0%
t 193
 
3.7%
d 181
 
3.5%
O 164
 
3.1%
, 162
 
3.1%
a 158
 
3.0%
Other values (71) 2638
50.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2076
39.8%
Uppercase Letter 1971
37.8%
Space Separator 594
 
11.4%
Other Punctuation 512
 
9.8%
Other Letter 33
 
0.6%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Decimal Number 5
 
0.1%
Dash Punctuation 4
 
0.1%
Modifier Symbol 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 338
16.3%
t 193
9.3%
d 181
8.7%
a 158
 
7.6%
r 150
 
7.2%
e 145
 
7.0%
n 143
 
6.9%
i 118
 
5.7%
u 114
 
5.5%
g 96
 
4.6%
Other values (14) 440
21.2%
Uppercase Letter
ValueCountFrequency (%)
C 254
12.9%
L 211
 
10.7%
O 164
 
8.3%
N 133
 
6.7%
I 112
 
5.7%
A 109
 
5.5%
D 108
 
5.5%
T 104
 
5.3%
S 101
 
5.1%
G 85
 
4.3%
Other values (14) 590
29.9%
Other Letter
ValueCountFrequency (%)
海 6
18.2%
株 3
 
9.1%
苔 3
 
9.1%
瑞 3
 
9.1%
努 3
 
9.1%
斗 1
 
3.0%
岩 1
 
3.0%
人 1
 
3.0%
法 1
 
3.0%
合 1
 
3.0%
Other values (10) 10
30.3%
Other Punctuation
ValueCountFrequency (%)
. 317
61.9%
, 162
31.6%
& 31
 
6.1%
' 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 3
50.0%
） 3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 3
50.0%
（ 3
50.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
4 2
40.0%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4047
77.7%
Common 1130
 
21.7%
Han 33
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 338
 
8.4%
C 254
 
6.3%
L 211
 
5.2%
t 193
 
4.8%
d 181
 
4.5%
O 164
 
4.1%
a 158
 
3.9%
r 150
 
3.7%
e 145
 
3.6%
n 143
 
3.5%
Other values (38) 2110
52.1%
Han
ValueCountFrequency (%)
海 6
18.2%
株 3
 
9.1%
苔 3
 
9.1%
瑞 3
 
9.1%
努 3
 
9.1%
斗 1
 
3.0%
岩 1
 
3.0%
人 1
 
3.0%
法 1
 
3.0%
合 1
 
3.0%
Other values (10) 10
30.3%
Common
ValueCountFrequency (%)
594
52.6%
. 317
28.1%
, 162
 
14.3%
& 31
 
2.7%
- 4
 
0.4%
) 3
 
0.3%
( 3
 
0.3%
` 3
 
0.3%
1 3
 
0.3%
） 3
 
0.3%
Other values (3) 7
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5171
99.3%
CJK 33
 
0.6%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
 
11.5%
o 338
 
6.5%
. 317
 
6.1%
C 254
 
4.9%
L 211
 
4.1%
t 193
 
3.7%
d 181
 
3.5%
O 164
 
3.2%
, 162
 
3.1%
a 158
 
3.1%
Other values (49) 2599
50.3%
CJK
ValueCountFrequency (%)
海 6
18.2%
株 3
 
9.1%
苔 3
 
9.1%
瑞 3
 
9.1%
努 3
 
9.1%
斗 1
 
3.0%
岩 1
 
3.0%
人 1
 
3.0%
法 1
 
3.0%
合 1
 
3.0%
Other values (10) 10
30.3%
None
ValueCountFrequency (%)
） 3
50.0%
（ 3
50.0%

홈페이지
Text

MISSING 

Distinct105
Distinct (%)39.3%
Missing11
Missing (%)4.0%
Memory size2.3 KiB
2023-12-12T17:47:21.765020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length19.28839
Min length7

Characters and Unicode

Total characters5150
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)15.0%

Sample

1st rowwww.manukaginseng.com
2nd rowwww.manukaginseng.com
3rd rowhttp://blog.naver.com/oppo01
4th rowhttp://blog.naver.com/oppo01
5th rowwww.damizle.com
ValueCountFrequency (%)
http://company.lottechilsung.co.kr 11
 
4.1%
www.wangfood.com 9
 
3.3%
www.damizle.com 9
 
3.3%
www.heechang.com 8
 
3.0%
www.wizpluskni.co.kr 8
 
3.0%
http://en.sdcfood.com 8
 
3.0%
www.paldofood.co.kr 7
 
2.6%
http://www.jardin.co.kr 7
 
2.6%
www.miwami.com 7
 
2.6%
www.guksim.co.kr 6
 
2.2%
Other values (93) 190
70.4%
2023-12-12T17:47:22.287811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 714
13.9%
. 693
13.5%
o 468
 
9.1%
c 340
 
6.6%
e 254
 
4.9%
m 231
 
4.5%
n 216
 
4.2%
r 195
 
3.8%
k 184
 
3.6%
a 170
 
3.3%
Other values (38) 1685
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4028
78.2%
Other Punctuation 862
 
16.7%
Uppercase Letter 126
 
2.4%
Decimal Number 107
 
2.1%
Space Separator 26
 
0.5%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 714
17.7%
o 468
11.6%
c 340
 
8.4%
e 254
 
6.3%
m 231
 
5.7%
n 216
 
5.4%
r 195
 
4.8%
k 184
 
4.6%
a 170
 
4.2%
t 151
 
3.7%
Other values (14) 1105
27.4%
Decimal Number
ValueCountFrequency (%)
1 43
40.2%
2 30
28.0%
0 12
 
11.2%
7 7
 
6.5%
4 4
 
3.7%
8 3
 
2.8%
3 3
 
2.8%
5 2
 
1.9%
9 2
 
1.9%
6 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
W 36
28.6%
O 27
21.4%
A 9
 
7.1%
M 9
 
7.1%
C 9
 
7.1%
D 9
 
7.1%
F 9
 
7.1%
G 9
 
7.1%
N 9
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 693
80.4%
/ 122
 
14.2%
: 47
 
5.5%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4154
80.7%
Common 996
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 714
17.2%
o 468
 
11.3%
c 340
 
8.2%
e 254
 
6.1%
m 231
 
5.6%
n 216
 
5.2%
r 195
 
4.7%
k 184
 
4.4%
a 170
 
4.1%
t 151
 
3.6%
Other values (23) 1231
29.6%
Common
ValueCountFrequency (%)
. 693
69.6%
/ 122
 
12.2%
: 47
 
4.7%
1 43
 
4.3%
2 30
 
3.0%
26
 
2.6%
0 12
 
1.2%
7 7
 
0.7%
4 4
 
0.4%
8 3
 
0.3%
Other values (5) 9
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 714
13.9%
. 693
13.5%
o 468
 
9.1%
c 340
 
6.6%
e 254
 
4.9%
m 231
 
4.5%
n 216
 
4.2%
r 195
 
3.8%
k 184
 
3.6%
a 170
 
3.3%
Other values (38) 1685
32.7%

Interactions

2023-12-12T17:47:18.634739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:18.380833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:18.759049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:18.508691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:47:22.425996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품코드에이치에스코드
제품코드1.0000.625
에이치에스코드0.6251.000
2023-12-12T17:47:22.521187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품코드에이치에스코드
제품코드1.000-0.224
에이치에스코드-0.2241.000

Missing values

2023-12-12T17:47:18.900747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:47:19.012756image/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.
2023-12-12T17:47:19.129496image/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

제품코드제품명에이치에스코드업체명홈페이지
014QUEEN stick<NA>The Manuka & Red Ginseng Co., Ltdwww.manukaginseng.com
115JUNIOR stick<NA>The Manuka & Red Ginseng Co., Ltdwww.manukaginseng.com
21DangSinManeulSaRangHae220290NewWayKorea Co., Ltd.http://blog.naver.com/oppo01
33GeuNyeoManeulSaengGakHae220290NewWayKorea Co., Ltd.http://blog.naver.com/oppo01
48Fresh Pomegranate Tea2008301000Da Jung Co.,Ltdwww.damizle.com
57Fresh Lemon Tea2008301000Da Jung Co.,Ltdwww.damizle.com
65Fresh Citron Tea<NA>Da Jung Co.,Ltdwww.damizle.com
76Honey Ginger Tea2008301000Da Jung Co.,Ltdwww.damizle.com
89Fresh Plum Tea2008301000Da Jung Co.,Ltdwww.damizle.com
94Honey Citron Tea2008301000Da Jung Co.,Ltdwww.damizle.com
제품코드제품명에이치에스코드업체명홈페이지
268513Yonsei Banana Milk<NA>Yonsei University Dairywww.yonseidairy.com/global/eng
269517Penguin Town Healthy Laver D.H.A, Calcium<NA>Penguin NSF. Co., Ltd.www.penguinfood.en.ec21.com
270519Korean Red Ginseng Tea<NA>Wizplus K&I Co., Ltd.www.wizpluskni.co.kr
271507Platycodin Concentrates<NA>Hwangchowon Co., Ltd.www.royalgreens.co.kr
272518Korean Red Ginseng Powder Tablet<NA>Wizplus K&I Co., Ltd.www.wizpluskni.co.kr
273520Red Ginseng Powder<NA>Wizplus K&I Co., Ltd.www.wizpluskni.co.kr
274521Korean Ginseng Drink<NA>Wizplus K&I Co., Ltd.www.wizpluskni.co.kr
275514Sweeple(Apple, Orange, Red Orange)<NA>Yonsei University Dairywww.yonseidairy.com/global/eng
276522Health supplement / Hepro M<NA>Wizplus K&I Co., Ltd.www.wizpluskni.co.kr
277525JINSIM Ginsengju<NA>Taepyung Distillers Co., Ltd.www.juga.co.kr