Overview

Dataset statistics

Number of variables8
Number of observations98
Missing cells4
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory65.3 B

Variable types

Categorical5
Text2
DateTime1

Dataset

Description등록민간자격, 국가공인민간자격 등 민간자격에 대한 정보데이터 중 공인민간자격등록현황 데이터입니다. 현재 국가공인민간자격 중 소관부처, 자격종목, 등급, 자격관리자, 공인유효기간, 기공인기간 데이터로 구성되어 있으며, 실시간 자료를 원하실 경우 민간자격정보서비스(www.pqi.or.kr)에서 확인하실 수 있습니다.
URLhttps://www.data.go.kr/data/15069557/fileData.do

Alerts

기공인기간(만료) is highly overall correlated with 공인유효기간(시작) and 1 other fieldsHigh correlation
공인유효기간(시작) is highly overall correlated with 공인유효기간(만료) and 1 other fieldsHigh correlation
공인유효기간(만료) is highly overall correlated with 공인유효기간(시작) and 1 other fieldsHigh correlation
기공인기간(시작) has 4 (4.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:11:09.912707
Analysis finished2023-12-12 21:11:11.214226
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소관 부처
Categorical

Distinct17
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size916.0 B
교육부
21 
과학기술정보통신부
20 
금융위원회
11 
산업통상자원부
9 
기획재정부
8 
Other values (12)
29 

Length

Max length9
Median length8
Mean length5.5612245
Min length3

Unique

Unique5 ?
Unique (%)5.1%

Sample

1st row식품의약품안전처
2nd row금융위원회
3rd row금융위원회
4th row금융위원회
5th row금융위원회

Common Values

ValueCountFrequency (%)
교육부 21
21.4%
과학기술정보통신부 20
20.4%
금융위원회 11
11.2%
산업통상자원부 9
9.2%
기획재정부 8
 
8.2%
문화체육관광부 5
 
5.1%
보건복지부 4
 
4.1%
국토교통부 4
 
4.1%
경찰청 3
 
3.1%
산림청 3
 
3.1%
Other values (7) 10
10.2%

Length

2023-12-13T06:11:11.305680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육부 21
21.4%
과학기술정보통신부 20
20.4%
금융위원회 11
11.2%
산업통상자원부 9
9.2%
기획재정부 8
 
8.2%
문화체육관광부 5
 
5.1%
보건복지부 4
 
4.1%
국토교통부 4
 
4.1%
행정안전부 3
 
3.1%
경찰청 3
 
3.1%
Other values (7) 10
10.2%

자격종목
Text

Distinct95
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-13T06:11:11.584107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20.5
Mean length9.3367347
Min length3

Characters and Unicode

Total characters915
Distinct characters202
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)93.9%

Sample

1st row의료기기 RA전문가
2nd row신용관리사
3rd row신용위험분석사(CRA)
4th row신용분석사
5th row여신심사역
ValueCountFrequency (%)
flex 6
 
5.1%
한자급수자격검정 2
 
1.7%
한자.한문 2
 
1.7%
전문지도사 2
 
1.7%
한자능력급수 2
 
1.7%
상공회의소 2
 
1.7%
kbs한국어능력시험 1
 
0.8%
실천예절지도사 1
 
0.8%
종이접기 1
 
0.8%
한국실용글쓰기검정 1
 
0.8%
Other values (98) 98
83.1%
2023-12-13T06:11:12.039453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 44
 
4.8%
) 26
 
2.8%
( 26
 
2.8%
기 25
 
2.7%
리 25
 
2.7%
자 24
 
2.6%
T 21
 
2.3%
관 21
 
2.3%
정 21
 
2.3%
20
 
2.2%
Other values (192) 662
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 643
70.3%
Uppercase Letter 138
 
15.1%
Lowercase Letter 46
 
5.0%
Close Punctuation 26
 
2.8%
Open Punctuation 26
 
2.8%
Space Separator 20
 
2.2%
Other Punctuation 12
 
1.3%
Dash Punctuation 3
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 44
 
6.8%
기 25
 
3.9%
리 25
 
3.9%
자 24
 
3.7%
관 21
 
3.3%
정 21
 
3.3%
한 18
 
2.8%
어 16
 
2.5%
보 15
 
2.3%
스 12
 
1.9%
Other values (150) 422
65.6%
Uppercase Letter
ValueCountFrequency (%)
T 21
15.2%
E 17
12.3%
S 13
9.4%
P 13
9.4%
I 9
 
6.5%
F 9
 
6.5%
L 9
 
6.5%
A 9
 
6.5%
C 8
 
5.8%
X 7
 
5.1%
Other values (8) 23
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
15.2%
s 6
13.0%
i 5
10.9%
n 5
10.9%
a 4
8.7%
c 4
8.7%
r 3
6.5%
o 3
6.5%
t 3
6.5%
d 1
 
2.2%
Other values (5) 5
10.9%
Other Punctuation
ValueCountFrequency (%)
/ 7
58.3%
· 2
 
16.7%
. 2
 
16.7%
, 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 643
70.3%
Latin 184
 
20.1%
Common 88
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 44
 
6.8%
기 25
 
3.9%
리 25
 
3.9%
자 24
 
3.7%
관 21
 
3.3%
정 21
 
3.3%
한 18
 
2.8%
어 16
 
2.5%
보 15
 
2.3%
스 12
 
1.9%
Other values (150) 422
65.6%
Latin
ValueCountFrequency (%)
T 21
 
11.4%
E 17
 
9.2%
S 13
 
7.1%
P 13
 
7.1%
I 9
 
4.9%
F 9
 
4.9%
L 9
 
4.9%
A 9
 
4.9%
C 8
 
4.3%
X 7
 
3.8%
Other values (23) 69
37.5%
Common
ValueCountFrequency (%)
) 26
29.5%
( 26
29.5%
20
22.7%
/ 7
 
8.0%
- 3
 
3.4%
· 2
 
2.3%
. 2
 
2.3%
, 1
 
1.1%
+ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 643
70.3%
ASCII 270
29.5%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 44
 
6.8%
기 25
 
3.9%
리 25
 
3.9%
자 24
 
3.7%
관 21
 
3.3%
정 21
 
3.3%
한 18
 
2.8%
어 16
 
2.5%
보 15
 
2.3%
스 12
 
1.9%
Other values (150) 422
65.6%
ASCII
ValueCountFrequency (%)
) 26
 
9.6%
( 26
 
9.6%
T 21
 
7.8%
20
 
7.4%
E 17
 
6.3%
S 13
 
4.8%
P 13
 
4.8%
I 9
 
3.3%
F 9
 
3.3%
L 9
 
3.3%
Other values (31) 107
39.6%
None
ValueCountFrequency (%)
· 2
100.0%

등급
Categorical

Distinct40
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size916.0 B
등급없음
30 
1급, 2급
11 
1급, 2급, 3급
8 
1A급, 1B급, 1C급, 2A급, 2B급, 2C급, 3A급, 3B급, 3C급
6 
2급
5 
Other values (35)
38 

Length

Max length43
Median length34
Mean length11.040816
Min length2

Unique

Unique32 ?
Unique (%)32.7%

Sample

1st row2급
2nd row등급없음
3rd row등급없음
4th row등급없음
5th row등급없음

Common Values

ValueCountFrequency (%)
등급없음 30
30.6%
1급, 2급 11
 
11.2%
1급, 2급, 3급 8
 
8.2%
1A급, 1B급, 1C급, 2A급, 2B급, 2C급, 3A급, 3B급, 3C급 6
 
6.1%
2급 5
 
5.1%
S급, 1급, 2급, 3급 2
 
2.0%
사범, 1급, 준1급, 2급, 준2급 2
 
2.0%
1급, 2급, 3급, 4급 2
 
2.0%
전문가 1
 
1.0%
Ⅰ종, Ⅱ종 1
 
1.0%
Other values (30) 30
30.6%

Length

2023-12-13T06:11:12.237755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2급 38
 
14.8%
1급 33
 
12.8%
등급없음 30
 
11.7%
3급 18
 
7.0%
2b급 7
 
2.7%
3c급 7
 
2.7%
3b급 7
 
2.7%
2c급 7
 
2.7%
3a급 7
 
2.7%
2a급 7
 
2.7%
Other values (65) 96
37.4%

자격관리자
Text

Distinct59
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-13T06:11:12.524336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.234694
Min length6

Characters and Unicode

Total characters1003
Distinct characters146
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)42.9%

Sample

1st row한국의료기기안전정보원
2nd row(사)신용정보협회
3rd row(사)한국금융연수원
4th row(사)한국금융연수원
5th row(사)한국금융연수원
ValueCountFrequency (%)
대한상공회의소 10
 
10.0%
한국생산성본부 9
 
9.0%
사)한국금융연수원 6
 
6.0%
사)대한민국한자교육연구회·대한검정회 4
 
4.0%
재)한국데이터산업진흥원 3
 
3.0%
매일경제신문사 2
 
2.0%
사)한국시각장애인연합회 2
 
2.0%
사)한자교육진흥회 2
 
2.0%
사)한국어문회 2
 
2.0%
사)한국정보평가협회 2
 
2.0%
Other values (50) 58
58.0%
2023-12-13T06:11:12.972075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 93
 
9.3%
국 75
 
7.5%
회 66
 
6.6%
사 61
 
6.1%
( 56
 
5.6%
) 56
 
5.6%
협 29
 
2.9%
원 24
 
2.4%
대 23
 
2.3%
정 19
 
1.9%
Other values (136) 501
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 880
87.7%
Open Punctuation 56
 
5.6%
Close Punctuation 56
 
5.6%
Other Punctuation 5
 
0.5%
Space Separator 3
 
0.3%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 93
 
10.6%
국 75
 
8.5%
회 66
 
7.5%
사 61
 
6.9%
협 29
 
3.3%
원 24
 
2.7%
대 23
 
2.6%
정 19
 
2.2%
보 19
 
2.2%
연 16
 
1.8%
Other values (128) 455
51.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%
Other Punctuation
ValueCountFrequency (%)
· 4
80.0%
/ 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 880
87.7%
Common 120
 
12.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 93
 
10.6%
국 75
 
8.5%
회 66
 
7.5%
사 61
 
6.9%
협 29
 
3.3%
원 24
 
2.7%
대 23
 
2.6%
정 19
 
2.2%
보 19
 
2.2%
연 16
 
1.8%
Other values (128) 455
51.7%
Common
ValueCountFrequency (%)
( 56
46.7%
) 56
46.7%
· 4
 
3.3%
3
 
2.5%
/ 1
 
0.8%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 880
87.7%
ASCII 119
 
11.9%
None 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 93
 
10.6%
국 75
 
8.5%
회 66
 
7.5%
사 61
 
6.9%
협 29
 
3.3%
원 24
 
2.7%
대 23
 
2.6%
정 19
 
2.2%
보 19
 
2.2%
연 16
 
1.8%
Other values (128) 455
51.7%
ASCII
ValueCountFrequency (%)
( 56
47.1%
) 56
47.1%
3
 
2.5%
/ 1
 
0.8%
S 1
 
0.8%
B 1
 
0.8%
K 1
 
0.8%
None
ValueCountFrequency (%)
· 4
100.0%

공인유효기간(시작)
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size916.0 B
2022-01-01
25 
2023-01-01
18 
2021-01-01
6 
2020-01-01
 
4
2020-01-20
 
3
Other values (35)
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique28 ?
Unique (%)28.6%

Sample

1st row2019-01-01
2nd row2023-02-15
3rd row2021-02-15
4th row2020-01-20
5th row2020-01-20

Common Values

ValueCountFrequency (%)
2022-01-01 25
25.5%
2023-01-01 18
18.4%
2021-01-01 6
 
6.1%
2020-01-01 4
 
4.1%
2020-01-20 3
 
3.1%
2021-02-17 2
 
2.0%
2023-02-17 2
 
2.0%
2021-12-13 2
 
2.0%
2021-01-20 2
 
2.0%
2023-04-01 2
 
2.0%
Other values (30) 32
32.7%

Length

2023-12-13T06:11:13.140963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-01-01 25
25.5%
2023-01-01 18
18.4%
2021-01-01 6
 
6.1%
2020-01-01 4
 
4.1%
2020-01-20 3
 
3.1%
2023-04-01 2
 
2.0%
2019-01-01 2
 
2.0%
2021-09-30 2
 
2.0%
2021-01-20 2
 
2.0%
2021-12-13 2
 
2.0%
Other values (30) 32
32.7%

공인유효기간(만료)
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-31
17 
2025-12-31
14 
2024-12-31
13 
2027-12-31
9 
2026-02-16
 
3
Other values (35)
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique29 ?
Unique (%)29.6%

Sample

1st row2023-12-31
2nd row2028-02-14
3rd row2024-02-14
4th row2024-12-31
5th row2024-12-31

Common Values

ValueCountFrequency (%)
2023-12-31 17
17.3%
2025-12-31 14
14.3%
2024-12-31 13
13.3%
2027-12-31 9
 
9.2%
2026-02-16 3
 
3.1%
2026-12-31 3
 
3.1%
2024-12-12 2
 
2.0%
2026-03-31 2
 
2.0%
2026-09-29 2
 
2.0%
2026-01-19 2
 
2.0%
Other values (30) 31
31.6%

Length

2023-12-13T06:11:13.289081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-31 17
17.3%
2025-12-31 14
14.3%
2024-12-31 13
13.3%
2027-12-31 9
 
9.2%
2026-02-16 3
 
3.1%
2026-12-31 3
 
3.1%
2026-01-19 2
 
2.0%
2025-11-30 2
 
2.0%
2026-09-29 2
 
2.0%
2026-03-31 2
 
2.0%
Other values (30) 31
31.6%

기공인기간(시작)
Date

MISSING 

Distinct59
Distinct (%)62.8%
Missing4
Missing (%)4.1%
Memory size916.0 B
Minimum2000-12-22 00:00:00
Maximum2021-05-01 00:00:00
2023-12-13T06:11:13.442982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:11:13.623886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기공인기간(만료)
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size916.0 B
2021-12-31
24 
2022-12-31
17 
2020-12-31
5 
<NA>
 
4
2019-12-31
 
3
Other values (37)
45 

Length

Max length10
Median length10
Mean length9.755102
Min length4

Unique

Unique30 ?
Unique (%)30.6%

Sample

1st row<NA>
2nd row2023-02-14
3rd row2021-02-14
4th row2020-01-19
5th row2020-01-19

Common Values

ValueCountFrequency (%)
2021-12-31 24
24.5%
2022-12-31 17
17.3%
2020-12-31 5
 
5.1%
<NA> 4
 
4.1%
2019-12-31 3
 
3.1%
2020-01-19 3
 
3.1%
2023-02-16 2
 
2.0%
2021-01-19 2
 
2.0%
2021-02-16 2
 
2.0%
2021-09-29 2
 
2.0%
Other values (32) 34
34.7%

Length

2023-12-13T06:11:13.764971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-12-31 24
24.5%
2022-12-31 17
17.3%
2020-12-31 5
 
5.1%
na 4
 
4.1%
2019-12-31 3
 
3.1%
2020-01-19 3
 
3.1%
2021-12-12 2
 
2.0%
2023-03-31 2
 
2.0%
2021-09-29 2
 
2.0%
2021-02-16 2
 
2.0%
Other values (32) 34
34.7%

Correlations

2023-12-13T06:11:13.864852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관 부처자격종목등급자격관리자공인유효기간(시작)공인유효기간(만료)기공인기간(시작)기공인기간(만료)
소관 부처1.0001.0000.0000.9920.8720.8180.9600.873
자격종목1.0001.0000.0001.0001.0000.9960.8350.997
등급0.0000.0001.0000.8410.0000.0000.9710.000
자격관리자0.9921.0000.8411.0000.9810.9800.9760.979
공인유효기간(시작)0.8721.0000.0000.9811.0000.9990.9901.000
공인유효기간(만료)0.8180.9960.0000.9800.9991.0000.9860.996
기공인기간(시작)0.9600.8350.9710.9760.9900.9861.0000.989
기공인기간(만료)0.8730.9970.0000.9791.0000.9960.9891.000
2023-12-13T06:11:14.012245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기공인기간(만료)등급소관 부처공인유효기간(시작)공인유효기간(만료)
기공인기간(만료)1.0000.0000.3690.9910.844
등급0.0001.0000.0000.0000.000
소관 부처0.3690.0001.0000.3700.304
공인유효기간(시작)0.9910.0000.3701.0000.859
공인유효기간(만료)0.8440.0000.3040.8591.000
2023-12-13T06:11:14.120425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관 부처등급공인유효기간(시작)공인유효기간(만료)기공인기간(만료)
소관 부처1.0000.0000.3700.3040.369
등급0.0001.0000.0000.0000.000
공인유효기간(시작)0.3700.0001.0000.8590.991
공인유효기간(만료)0.3040.0000.8591.0000.844
기공인기간(만료)0.3690.0000.9910.8441.000

Missing values

2023-12-13T06:11:10.979295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:11:11.157231image/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

소관 부처자격종목등급자격관리자공인유효기간(시작)공인유효기간(만료)기공인기간(시작)기공인기간(만료)
0식품의약품안전처의료기기 RA전문가2급한국의료기기안전정보원2019-01-012023-12-31<NA><NA>
1금융위원회신용관리사등급없음(사)신용정보협회2023-02-152028-02-142006-02-152023-02-14
2금융위원회신용위험분석사(CRA)등급없음(사)한국금융연수원2021-02-152024-02-142006-02-152021-02-14
3금융위원회신용분석사등급없음(사)한국금융연수원2020-01-202024-12-312001-01-202020-01-19
4금융위원회여신심사역등급없음(사)한국금융연수원2020-01-202024-12-312001-01-202020-01-19
5금융위원회자산관리사(FP)등급없음(사)한국금융연수원2021-01-052026-01-042005-01-052021-01-04
6금융위원회재경관리사등급없음삼일회계법인2023-04-012026-03-312007-04-012023-03-31
7금융위원회회계관리1급, 2급삼일회계법인2023-04-012026-03-312007-04-012023-03-31
8금융위원회AT(Accounting Technician)TAT1급, TAT2급, FAT1급, FAT2급한국공인회계사회2022-12-012025-11-302015-12-012022-11-30
9금융위원회개인보험심사역등급없음사단법인 보험연수원2021-01-012025-12-312016-01-012020-12-31
소관 부처자격종목등급자격관리자공인유효기간(시작)공인유효기간(만료)기공인기간(시작)기공인기간(만료)
88국토교통부실내디자이너등급없음한국실내건축가협회2023-01-012025-12-312017-01-012022-12-31
89국토교통부보상관리사등급없음(사)한국토지보상관리사협회2023-01-012027-12-31<NA><NA>
90관세청원산지관리사등급없음(재)국제원산지정보원2022-01-012024-12-312013-01-012021-12-31
91경찰청열쇠관리사1급, 2급(사)한국열쇠협회2023-01-032026-01-022005-01-032023-01-02
92경찰청도로교통사고감정사등급없음도로교통공단2021-04-062024-04-052007-04-062021-04-05
93경찰청신변보호사등급없음(사)한국경비협회2021-01-012025-12-312013-01-012020-12-31
94산림청수목보호기술자격기술자(사)한국수목보호협회2020-01-152025-01-142001-04-012020-01-14
95산림청분재관리사전문관리사, 1급, 2급(사)한국분재조합2019-02-012024-01-312002-02-012019-01-31
96산림청조경수조성관리사2급, 3급(사)한국조경수협회2020-11-162025-11-152010-11-162020-11-15
97특허청지식재산능력시험1급, 2급, 3급, 4급한국발명진흥회2023-01-012027-12-312018-01-012022-12-31