Overview

Dataset statistics

Number of variables7
Number of observations451
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.7 KiB
Average record size in memory58.3 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description대한무역투자진흥공사에서 무역투자, 해외시장 정보와 관련하여 자체 발간한 자료 목록으로, 서명과 발간자료번호를 수록하였다.
Author대한무역투자진흥공사
URLhttps://www.data.go.kr/data/15003305/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 발간년도 and 1 other fieldsHigh correlation
발간년도 is highly overall correlated with 연번High correlation
종류 is highly overall correlated with 연번High correlation
종류 is highly imbalanced (50.3%)Imbalance
연번 has unique valuesUnique
발간자료번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:16:12.846683
Analysis finished2023-12-12 12:16:14.251727
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct451
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226
Minimum1
Maximum451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T21:16:14.349158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.5
Q1113.5
median226
Q3338.5
95-th percentile428.5
Maximum451
Range450
Interquartile range (IQR)225

Descriptive statistics

Standard deviation130.33674
Coefficient of variation (CV)0.57671125
Kurtosis-1.2
Mean226
Median Absolute Deviation (MAD)113
Skewness0
Sum101926
Variance16987.667
MonotonicityStrictly increasing
2023-12-12T21:16:14.501983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
284 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
307 1
 
0.2%
306 1
 
0.2%
305 1
 
0.2%
304 1
 
0.2%
303 1
 
0.2%
Other values (441) 441
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%
447 1
0.2%
446 1
0.2%
445 1
0.2%
444 1
0.2%
443 1
0.2%
442 1
0.2%

서명
Text

Distinct450
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T21:16:14.835540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length193
Median length148
Mean length26.864745
Min length8

Characters and Unicode

Total characters12116
Distinct characters470
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique449 ?
Unique (%)99.6%

Sample

1st row주요국 그린뉴딜 정책의 주요내용과 시사점
2nd row2020년 하반기 대한수입규제 동향과 2021년 상반기 전망
3rd row일본기업의 오픈 이노베이션 활용 전략과 성공사례 분석
4th row러시아의 팬데믹 방역 · 보건 산업 : 코로나19 방역
5th row한-중미 FTA 전체발효에 따른 수출 유망품목
ValueCountFrequency (%)
진출전략 192
 
7.6%
2021 130
 
5.2%
2022 114
 
4.5%
국별 80
 
3.2%
및 52
 
2.1%
28
 
1.1%
in 25
 
1.0%
동향 24
 
1.0%
ksp 22
 
0.9%
de 18
 
0.7%
Other values (949) 1825
72.7%
2023-12-12T21:16:15.390236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2072
 
17.1%
2 777
 
6.4%
0 380
 
3.1%
o 259
 
2.1%
n 254
 
2.1%
a 253
 
2.1%
전 242
 
2.0%
i 238
 
2.0%
e 235
 
1.9%
출 231
 
1.9%
Other values (460) 7175
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4942
40.8%
Lowercase Letter 2551
21.1%
Space Separator 2072
17.1%
Decimal Number 1384
 
11.4%
Uppercase Letter 951
 
7.8%
Other Punctuation 126
 
1.0%
Dash Punctuation 41
 
0.3%
Close Punctuation 24
 
0.2%
Open Punctuation 24
 
0.2%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 242
 
4.9%
출 231
 
4.7%
진 220
 
4.5%
략 209
 
4.2%
국 162
 
3.3%
이 94
 
1.9%
별 92
 
1.9%
시 74
 
1.5%
아 74
 
1.5%
가 72
 
1.5%
Other values (360) 3472
70.3%
Uppercase Letter
ValueCountFrequency (%)
P 97
 
10.2%
K 87
 
9.1%
S 67
 
7.0%
A 65
 
6.8%
C 59
 
6.2%
R 52
 
5.5%
E 51
 
5.4%
T 48
 
5.0%
I 45
 
4.7%
O 38
 
4.0%
Other values (43) 342
36.0%
Lowercase Letter
ValueCountFrequency (%)
o 259
10.2%
n 254
10.0%
a 253
9.9%
i 238
 
9.3%
e 235
 
9.2%
t 216
 
8.5%
r 178
 
7.0%
s 119
 
4.7%
l 108
 
4.2%
c 96
 
3.8%
Other values (17) 595
23.3%
Decimal Number
ValueCountFrequency (%)
2 777
56.1%
0 380
27.5%
1 189
 
13.7%
9 25
 
1.8%
6 6
 
0.4%
3 3
 
0.2%
5 2
 
0.1%
4 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 55
43.7%
/ 34
27.0%
, 21
 
16.7%
· 8
 
6.3%
! 6
 
4.8%
& 1
 
0.8%
' 1
 
0.8%
Space Separator
ValueCountFrequency (%)
2072
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4888
40.3%
Common 3672
30.3%
Latin 3325
27.4%
Cyrillic 177
 
1.5%
Han 42
 
0.3%
Katakana 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 242
 
5.0%
출 231
 
4.7%
진 220
 
4.5%
략 209
 
4.3%
국 162
 
3.3%
이 94
 
1.9%
별 92
 
1.9%
시 74
 
1.5%
아 74
 
1.5%
가 72
 
1.5%
Other values (345) 3418
69.9%
Latin
ValueCountFrequency (%)
o 259
 
7.8%
n 254
 
7.6%
a 253
 
7.6%
i 238
 
7.2%
e 235
 
7.1%
t 216
 
6.5%
r 178
 
5.4%
s 119
 
3.6%
l 108
 
3.2%
P 97
 
2.9%
Other values (41) 1368
41.1%
Cyrillic
ValueCountFrequency (%)
О 20
 
11.3%
А 17
 
9.6%
Т 12
 
6.8%
И 11
 
6.2%
Л 11
 
6.2%
Р 9
 
5.1%
Н 9
 
5.1%
Г 8
 
4.5%
С 8
 
4.5%
М 8
 
4.5%
Other values (19) 64
36.2%
Common
ValueCountFrequency (%)
2072
56.4%
2 777
 
21.2%
0 380
 
10.3%
1 189
 
5.1%
: 55
 
1.5%
- 41
 
1.1%
/ 34
 
0.9%
9 25
 
0.7%
) 24
 
0.7%
( 24
 
0.7%
Other values (10) 51
 
1.4%
Han
ValueCountFrequency (%)
韓 5
11.9%
外 4
9.5%
投 4
9.5%
活 4
9.5%
生 4
9.5%
指 4
9.5%
南 4
9.5%
美 4
9.5%
人 3
7.1%
對 2
 
4.8%
Other values (2) 4
9.5%
Katakana
ValueCountFrequency (%)
イ 4
33.3%
ガ 4
33.3%
ド 4
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6981
57.6%
Hangul 4888
40.3%
Cyrillic 177
 
1.5%
CJK 42
 
0.3%
None 15
 
0.1%
Katakana 12
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2072
29.7%
2 777
 
11.1%
0 380
 
5.4%
o 259
 
3.7%
n 254
 
3.6%
a 253
 
3.6%
i 238
 
3.4%
e 235
 
3.4%
t 216
 
3.1%
1 189
 
2.7%
Other values (58) 2108
30.2%
Hangul
ValueCountFrequency (%)
전 242
 
5.0%
출 231
 
4.7%
진 220
 
4.5%
략 209
 
4.3%
국 162
 
3.3%
이 94
 
1.9%
별 92
 
1.9%
시 74
 
1.5%
아 74
 
1.5%
가 72
 
1.5%
Other values (345) 3418
69.9%
Cyrillic
ValueCountFrequency (%)
О 20
 
11.3%
А 17
 
9.6%
Т 12
 
6.8%
И 11
 
6.2%
Л 11
 
6.2%
Р 9
 
5.1%
Н 9
 
5.1%
Г 8
 
4.5%
С 8
 
4.5%
М 8
 
4.5%
Other values (19) 64
36.2%
None
ValueCountFrequency (%)
· 8
53.3%
đ 7
46.7%
CJK
ValueCountFrequency (%)
韓 5
11.9%
外 4
9.5%
投 4
9.5%
活 4
9.5%
生 4
9.5%
指 4
9.5%
南 4
9.5%
美 4
9.5%
人 3
7.1%
對 2
 
4.8%
Other values (2) 4
9.5%
Katakana
ValueCountFrequency (%)
イ 4
33.3%
ガ 4
33.3%
ド 4
33.3%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

발간년도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2021
363 
2022
88 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 363
80.5%
2022 88
 
19.5%

Length

2023-12-12T21:16:15.544360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:15.663605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 363
80.5%
2022 88
 
19.5%

발간자료번호
Text

UNIQUE 

Distinct451
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T21:16:15.962307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length13
Mean length15.764967
Min length11

Characters and Unicode

Total characters7110
Distinct characters35
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

Unique451 ?
Unique (%)100.0%

Sample

1st rowGlobal Market Report (GMR)21-001
2nd rowGlobal Market Report (GMR)21-002
3rd rowGlobal Market Report (GMR)21-003
4th rowGlobal Market Report (GMR)21-004
5th rowGlobal Market Report (GMR)21-005
ValueCountFrequency (%)
global 67
 
10.3%
report 67
 
10.3%
market 67
 
10.3%
설명회자료21-001 1
 
0.2%
kotra자료21-259 1
 
0.2%
kotra자료21-240 1
 
0.2%
kotra자료21-239 1
 
0.2%
kotra자료21-238 1
 
0.2%
kotra자료21-237 1
 
0.2%
kotra자료21-236 1
 
0.2%
Other values (444) 444
68.1%
2023-12-12T21:16:16.482721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 735
 
10.3%
1 568
 
8.0%
R 505
 
7.1%
- 451
 
6.3%
료 384
 
5.4%
자 384
 
5.4%
A 371
 
5.2%
T 371
 
5.2%
O 371
 
5.2%
K 371
 
5.2%
Other values (25) 2599
36.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2257
31.7%
Decimal Number 2255
31.7%
Lowercase Letter 1005
14.1%
Other Letter 807
 
11.4%
Dash Punctuation 451
 
6.3%
Space Separator 201
 
2.8%
Close Punctuation 67
 
0.9%
Open Punctuation 67
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 735
32.6%
1 568
25.2%
0 361
16.0%
3 96
 
4.3%
4 96
 
4.3%
5 91
 
4.0%
6 84
 
3.7%
7 78
 
3.5%
8 74
 
3.3%
9 72
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
l 134
13.3%
o 134
13.3%
t 134
13.3%
e 134
13.3%
r 134
13.3%
a 134
13.3%
b 67
6.7%
k 67
6.7%
p 67
6.7%
Uppercase Letter
ValueCountFrequency (%)
R 505
22.4%
A 371
16.4%
T 371
16.4%
O 371
16.4%
K 371
16.4%
G 134
 
5.9%
M 134
 
5.9%
Other Letter
ValueCountFrequency (%)
료 384
47.6%
자 384
47.6%
설 13
 
1.6%
명 13
 
1.6%
회 13
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 451
100.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3262
45.9%
Common 3041
42.8%
Hangul 807
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 505
15.5%
A 371
11.4%
T 371
11.4%
O 371
11.4%
K 371
11.4%
l 134
 
4.1%
G 134
 
4.1%
o 134
 
4.1%
t 134
 
4.1%
e 134
 
4.1%
Other values (6) 603
18.5%
Common
ValueCountFrequency (%)
2 735
24.2%
1 568
18.7%
- 451
14.8%
0 361
11.9%
201
 
6.6%
3 96
 
3.2%
4 96
 
3.2%
5 91
 
3.0%
6 84
 
2.8%
7 78
 
2.6%
Other values (4) 280
 
9.2%
Hangul
ValueCountFrequency (%)
료 384
47.6%
자 384
47.6%
설 13
 
1.6%
명 13
 
1.6%
회 13
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6303
88.6%
Hangul 807
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 735
 
11.7%
1 568
 
9.0%
R 505
 
8.0%
- 451
 
7.2%
A 371
 
5.9%
T 371
 
5.9%
O 371
 
5.9%
K 371
 
5.9%
0 361
 
5.7%
201
 
3.2%
Other values (20) 1998
31.7%
Hangul
ValueCountFrequency (%)
료 384
47.6%
자 384
47.6%
설 13
 
1.6%
명 13
 
1.6%
회 13
 
1.6%

저자(발간부서)
Text

Distinct79
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T21:16:16.873822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length5.7915743
Min length3

Characters and Unicode

Total characters2612
Distinct characters166
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)7.8%

Sample

1st row통상지원팀
2nd row통상지원팀
3rd row신북방동북아팀
4th row모스크바 무역관
5th row통상지원팀
ValueCountFrequency (%)
경제협력총괄팀 97
19.8%
구미팀 96
19.6%
투자종합상담실 37
 
7.6%
무역관 35
 
7.2%
개발협력실 34
 
7.0%
통상지원팀 17
 
3.5%
통상협력실 10
 
2.0%
투자mna팀 7
 
1.4%
아대양주팀 6
 
1.2%
무역투자연구센터 5
 
1.0%
Other values (73) 145
29.7%
2023-12-12T21:16:17.348463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
팀 287
 
11.0%
협 145
 
5.6%
력 145
 
5.6%
구 105
 
4.0%
미 105
 
4.0%
총 100
 
3.8%
제 98
 
3.8%
괄 98
 
3.8%
경 97
 
3.7%
실 92
 
3.5%
Other values (156) 1340
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2507
96.0%
Uppercase Letter 58
 
2.2%
Space Separator 40
 
1.5%
Lowercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
팀 287
 
11.4%
협 145
 
5.8%
력 145
 
5.8%
구 105
 
4.2%
미 105
 
4.2%
총 100
 
4.0%
제 98
 
3.9%
괄 98
 
3.9%
경 97
 
3.9%
실 92
 
3.7%
Other values (145) 1235
49.3%
Uppercase Letter
ValueCountFrequency (%)
A 11
19.0%
C 8
13.8%
I 8
13.8%
M 7
12.1%
S 6
10.3%
T 6
10.3%
K 4
 
6.9%
O 4
 
6.9%
R 4
 
6.9%
Space Separator
ValueCountFrequency (%)
40
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2507
96.0%
Latin 65
 
2.5%
Common 40
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
팀 287
 
11.4%
협 145
 
5.8%
력 145
 
5.8%
구 105
 
4.2%
미 105
 
4.2%
총 100
 
4.0%
제 98
 
3.9%
괄 98
 
3.9%
경 97
 
3.9%
실 92
 
3.7%
Other values (145) 1235
49.3%
Latin
ValueCountFrequency (%)
A 11
16.9%
C 8
12.3%
I 8
12.3%
n 7
10.8%
M 7
10.8%
S 6
9.2%
T 6
9.2%
K 4
 
6.2%
O 4
 
6.2%
R 4
 
6.2%
Common
ValueCountFrequency (%)
40
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2507
96.0%
ASCII 105
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
팀 287
 
11.4%
협 145
 
5.8%
력 145
 
5.8%
구 105
 
4.2%
미 105
 
4.2%
총 100
 
4.0%
제 98
 
3.9%
괄 98
 
3.9%
경 97
 
3.9%
실 92
 
3.7%
Other values (145) 1235
49.3%
ASCII
ValueCountFrequency (%)
40
38.1%
A 11
 
10.5%
C 8
 
7.6%
I 8
 
7.6%
n 7
 
6.7%
M 7
 
6.7%
S 6
 
5.7%
T 6
 
5.7%
K 4
 
3.8%
O 4
 
3.8%

종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
KOTRA자료
371 
Global Market Report (GMR)
67 
설명회자료
 
13

Length

Max length26
Median length7
Mean length9.7649667
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGlobal Market Report (GMR)
2nd rowGlobal Market Report (GMR)
3rd rowGlobal Market Report (GMR)
4th rowGlobal Market Report (GMR)
5th rowGlobal Market Report (GMR)

Common Values

ValueCountFrequency (%)
KOTRA자료 371
82.3%
Global Market Report (GMR) 67
 
14.9%
설명회자료 13
 
2.9%

Length

2023-12-12T21:16:17.502359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:17.600885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kotra자료 371
56.9%
global 67
 
10.3%
market 67
 
10.3%
report 67
 
10.3%
gmr 67
 
10.3%
설명회자료 13
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2022-06-30
451 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-30
2nd row2022-06-30
3rd row2022-06-30
4th row2022-06-30
5th row2022-06-30

Common Values

ValueCountFrequency (%)
2022-06-30 451
100.0%

Length

2023-12-12T21:16:17.714141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:16:17.814906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-30 451
100.0%

Interactions

2023-12-12T21:16:13.398981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:16:17.874487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발간년도저자(발간부서)종류
연번1.0000.9620.8850.822
발간년도0.9621.0000.7810.000
저자(발간부서)0.8850.7811.0000.897
종류0.8220.0000.8971.000
2023-12-12T21:16:17.983317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발간년도종류
발간년도1.0000.000
종류0.0001.000
2023-12-12T21:16:18.071154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번발간년도종류
연번1.0000.8260.718
발간년도0.8261.0000.000
종류0.7180.0001.000

Missing values

2023-12-12T21:16:13.572539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:16:14.201685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번서명발간년도발간자료번호저자(발간부서)종류데이터기준일자
01주요국 그린뉴딜 정책의 주요내용과 시사점2021Global Market Report (GMR)21-001통상지원팀Global Market Report (GMR)2022-06-30
122020년 하반기 대한수입규제 동향과 2021년 상반기 전망2021Global Market Report (GMR)21-002통상지원팀Global Market Report (GMR)2022-06-30
23일본기업의 오픈 이노베이션 활용 전략과 성공사례 분석2021Global Market Report (GMR)21-003신북방동북아팀Global Market Report (GMR)2022-06-30
34러시아의 팬데믹 방역 · 보건 산업 : 코로나19 방역2021Global Market Report (GMR)21-004모스크바 무역관Global Market Report (GMR)2022-06-30
45한-중미 FTA 전체발효에 따른 수출 유망품목2021Global Market Report (GMR)21-005통상지원팀Global Market Report (GMR)2022-06-30
56美 바이든 정부 바이 아메리칸 정책 주요 내용 및 향후 전망2021Global Market Report (GMR)21-006통상지원팀Global Market Report (GMR)2022-06-30
67미국·EU 정부의 미래산업 공급망 구축동향 및 전망2021Global Market Report (GMR)21-007통상지원팀Global Market Report (GMR)2022-06-30
78코로나19 이후 신북방지역 소비시장 변화2021Global Market Report (GMR)21-008신북방동북아팀Global Market Report (GMR)2022-06-30
89美 바이든 정부 기후변화 대응정책 동향 및 전망2021Global Market Report (GMR)21-009통상지원팀Global Market Report (GMR)2022-06-30
910EU 탄소국경조정세 논의 동향과 추진 전망2021Global Market Report (GMR)21-010통상지원팀Global Market Report (GMR)2022-06-30
연번서명발간년도발간자료번호저자(발간부서)종류데이터기준일자
441442한-인도네시아 CEPA 활용 인니 진출전략 웨비나2021설명회자료21-004통상지원팀설명회자료2022-06-30
442443해외 탄소시장 동향 및 우리기업 진출 방안2021설명회자료21-005그린산업팀설명회자료2022-06-30
443444美 바이 아메리칸 행정명령 주요 내용과 대응 방안 웨비나2021설명회자료21-006통상협력실설명회자료2022-06-30
444445USMCA 1주년 동향 분석 웨비나2021설명회자료21-007통상협력실설명회자료2022-06-30
4454462021 해외 수입규제 및 비관세장벽 대응전략 웨비나2021설명회자료21-008통상협력실설명회자료2022-06-30
446447EU 탄소국경조정제도 대응 세미나2021설명회자료21-009통상협력실설명회자료2022-06-30
447448KOTRA 해외수주협의회 제40차 수요포럼: COVID-19 시대 해외 프로젝트 수주 전략2021설명회자료21-010그린산업팀설명회자료2022-06-30
4484492022 세계시장 진출전략 설명회2021설명회자료21-011구미팀설명회자료2022-06-30
4494502022년 일본 소비재 시장 설명회2022설명회자료22-001나고야 무역관설명회자료2022-06-30
4504512022년 KOTRA 수출바우처 참여기업 사업설명회2022설명회자료22-002수출바우처팀설명회자료2022-06-30