Overview

Dataset statistics

Number of variables21
Number of observations34
Missing cells569
Missing cells (%)79.7%
Duplicate rows1
Duplicate rows (%)2.9%
Total size in memory5.7 KiB
Average record size in memory171.9 B

Variable types

Unsupported2
Categorical1
Text18

Dataset

Description육군사관학교 생도들이 이수해야하는 학점과 전공별 교육과정을 포함한 내용입니다. "22년도 교육과정 방침이 확정되는 데로 "21.12.31. 이전 업데이트를 할 예정입니다.
Author국방부
URLhttps://www.data.go.kr/data/15068815/fileData.do

Alerts

Unnamed: 17 has constant value ""Constant
Unnamed: 18 has constant value ""Constant
Unnamed: 19 has constant value ""Constant
Dataset has 1 (2.9%) duplicate rowsDuplicates
구    분 has 17 (50.0%) missing valuesMissing
Unnamed: 2 has 23 (67.6%) missing valuesMissing
인문계열 has 5 (14.7%) missing valuesMissing
Unnamed: 4 has 31 (91.2%) missing valuesMissing
Unnamed: 5 has 31 (91.2%) missing valuesMissing
Unnamed: 6 has 31 (91.2%) missing valuesMissing
Unnamed: 7 has 28 (82.4%) missing valuesMissing
Unnamed: 8 has 32 (94.1%) missing valuesMissing
Unnamed: 9 has 32 (94.1%) missing valuesMissing
Unnamed: 10 has 32 (94.1%) missing valuesMissing
자연계열 has 23 (67.6%) missing valuesMissing
Unnamed: 12 has 32 (94.1%) missing valuesMissing
Unnamed: 13 has 32 (94.1%) missing valuesMissing
Unnamed: 14 has 30 (88.2%) missing valuesMissing
Unnamed: 15 has 32 (94.1%) missing valuesMissing
Unnamed: 16 has 28 (82.4%) missing valuesMissing
Unnamed: 17 has 33 (97.1%) missing valuesMissing
Unnamed: 18 has 33 (97.1%) missing valuesMissing
Unnamed: 19 has 33 (97.1%) missing valuesMissing
Unnamed: 20 has 31 (91.2%) missing valuesMissing
구    분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 18:40:33.897146
Analysis finished2023-12-12 18:40:34.771661
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구    분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing17
Missing (%)50.0%
Memory size404.0 B

Unnamed: 1
Categorical

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
23 
기초
3 
필수
 
2
선택
 
2
필수
 
2

Length

Max length4
Median length4
Mean length3.5588235
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
67.6%
기초 3
 
8.8%
필수 2
 
5.9%
선택 2
 
5.9%
필수 2
 
5.9%
선택 2
 
5.9%

Length

2023-12-13T03:40:34.939965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:40:35.217832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
67.6%
필수 4
 
11.8%
선택 4
 
11.8%
기초 3
 
8.8%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)67.6%
Memory size404.0 B

인문계열
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing5
Missing (%)14.7%
Memory size404.0 B
2023-12-13T03:40:35.742998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length29
Mean length24.310345
Min length2

Characters and Unicode

Total characters705
Distinct characters191
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row총 201~213+ 학점
2nd row智(64 독서프로그램, 영어집중교육, 1인 1군사학 팀프로젝트 등),
3rd row仁(화랑대교양강좌, 성인지력 교육 등)
4th row勇(장교학, 생도맟춤형체력단련프로그램 등)
5th row한국사, 논리적 글쓰기, Academic English, 미분적분학, 과학적 사고와 실험, 프로그래밍 기초, 통계의 이해
ValueCountFrequency (%)
과목 9
 
5.5%
선택 7
 
4.3%
등 4
 
2.5%
이해 4
 
2.5%
acp 3
 
1.8%
학점 3
 
1.8%
5 3
 
1.8%
2
 
1.2%
승인 2
 
1.2%
중 2
 
1.2%
Other values (114) 124
76.1%
2023-12-13T03:40:36.591552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
20.0%
, 34
 
4.8%
학 20
 
2.8%
과 19
 
2.7%
) 12
 
1.7%
( 12
 
1.7%
사 11
 
1.6%
목 11
 
1.6%
전 11
 
1.6%
택 10
 
1.4%
Other values (181) 424
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
56.0%
Space Separator 142
 
20.1%
Lowercase Letter 51
 
7.2%
Other Punctuation 40
 
5.7%
Uppercase Letter 24
 
3.4%
Decimal Number 22
 
3.1%
Close Punctuation 12
 
1.7%
Open Punctuation 12
 
1.7%
Math Symbol 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 20
 
5.1%
과 19
 
4.8%
사 11
 
2.8%
목 11
 
2.8%
전 11
 
2.8%
택 10
 
2.5%
의 9
 
2.3%
국 9
 
2.3%
선 8
 
2.0%
이 8
 
2.0%
Other values (136) 279
70.6%
Lowercase Letter
ValueCountFrequency (%)
i 6
11.8%
s 5
9.8%
e 4
 
7.8%
l 4
 
7.8%
c 4
 
7.8%
r 4
 
7.8%
o 4
 
7.8%
n 3
 
5.9%
a 3
 
5.9%
d 2
 
3.9%
Other values (8) 12
23.5%
Uppercase Letter
ValueCountFrequency (%)
C 6
25.0%
A 6
25.0%
P 5
20.8%
T 2
 
8.3%
E 2
 
8.3%
L 1
 
4.2%
I 1
 
4.2%
M 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 6
27.3%
5 3
13.6%
6 3
13.6%
4 3
13.6%
2 3
13.6%
3 2
 
9.1%
8 1
 
4.5%
0 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 34
85.0%
/ 3
 
7.5%
& 1
 
2.5%
: 1
 
2.5%
* 1
 
2.5%
Space Separator
ValueCountFrequency (%)
141
99.3%
  1
 
0.7%
Math Symbol
ValueCountFrequency (%)
+ 6
85.7%
~ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
55.6%
Common 235
33.3%
Latin 75
 
10.6%
Han 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 20
 
5.1%
과 19
 
4.8%
사 11
 
2.8%
목 11
 
2.8%
전 11
 
2.8%
택 10
 
2.6%
의 9
 
2.3%
국 9
 
2.3%
선 8
 
2.0%
이 8
 
2.0%
Other values (133) 276
70.4%
Latin
ValueCountFrequency (%)
C 6
 
8.0%
i 6
 
8.0%
A 6
 
8.0%
P 5
 
6.7%
s 5
 
6.7%
e 4
 
5.3%
l 4
 
5.3%
c 4
 
5.3%
r 4
 
5.3%
o 4
 
5.3%
Other values (16) 27
36.0%
Common
ValueCountFrequency (%)
141
60.0%
, 34
 
14.5%
) 12
 
5.1%
( 12
 
5.1%
1 6
 
2.6%
+ 6
 
2.6%
5 3
 
1.3%
/ 3
 
1.3%
6 3
 
1.3%
4 3
 
1.3%
Other values (9) 12
 
5.1%
Han
ValueCountFrequency (%)
勇 1
33.3%
仁 1
33.3%
智 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
55.6%
ASCII 309
43.8%
CJK 3
 
0.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
45.6%
, 34
 
11.0%
) 12
 
3.9%
( 12
 
3.9%
C 6
 
1.9%
i 6
 
1.9%
A 6
 
1.9%
1 6
 
1.9%
+ 6
 
1.9%
P 5
 
1.6%
Other values (34) 75
24.3%
Hangul
ValueCountFrequency (%)
학 20
 
5.1%
과 19
 
4.8%
사 11
 
2.8%
목 11
 
2.8%
전 11
 
2.8%
택 10
 
2.6%
의 9
 
2.3%
국 9
 
2.3%
선 8
 
2.0%
이 8
 
2.0%
Other values (133) 276
70.4%
CJK
ValueCountFrequency (%)
勇 1
33.3%
仁 1
33.3%
智 1
33.3%
None
ValueCountFrequency (%)
  1
100.0%

Unnamed: 4
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing31
Missing (%)91.2%
Memory size404.0 B
2023-12-13T03:40:36.791614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.3333333
Min length1

Characters and Unicode

Total characters4
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row군
2nd row사
3rd row사
ValueCountFrequency (%)
사 2
66.7%
군 1
33.3%
2023-12-13T03:40:37.200344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
50.0%
군 1
25.0%
1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Space Separator 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
66.7%
군 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
66.7%
군 1
33.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
66.7%
군 1
33.3%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 5
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing31
Missing (%)91.2%
Memory size404.0 B
2023-12-13T03:40:37.454256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row지
2nd row역
3rd row학
ValueCountFrequency (%)
지 1
33.3%
역 1
33.3%
학 1
33.3%
2023-12-13T03:40:37.975989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1
33.3%
역 1
33.3%
학 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1
33.3%
역 1
33.3%
학 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1
33.3%
역 1
33.3%
학 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1
33.3%
역 1
33.3%
학 1
33.3%

Unnamed: 6
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing31
Missing (%)91.2%
Memory size404.0 B
2023-12-13T03:40:38.222095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row리
2nd row더
3rd row십
ValueCountFrequency (%)
리 1
33.3%
더 1
33.3%
십 1
33.3%
2023-12-13T03:40:38.696966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 1
33.3%
더 1
33.3%
십 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 1
33.3%
더 1
33.3%
십 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 1
33.3%
더 1
33.3%
십 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 1
33.3%
더 1
33.3%
십 1
33.3%

Unnamed: 7
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing28
Missing (%)82.4%
Memory size404.0 B
2023-12-13T03:40:39.000892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6
Min length3

Characters and Unicode

Total characters36
Distinct characters28
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row지휘관리
2nd row스트레스와 건강
3rd row국방경영학
4th row군사법
5th row군대문화의 이해
ValueCountFrequency (%)
지휘관리 1
12.5%
스트레스와 1
12.5%
건강 1
12.5%
국방경영학 1
12.5%
군사법 1
12.5%
군대문화의 1
12.5%
이해 1
12.5%
지휘관리세미나 1
12.5%
2023-12-13T03:40:39.563317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
 
8.3%
지 2
 
5.6%
휘 2
 
5.6%
스 2
 
5.6%
군 2
 
5.6%
리 2
 
5.6%
관 2
 
5.6%
미 1
 
2.8%
세 1
 
2.8%
사 1
 
2.8%
Other values (18) 18
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
91.7%
Space Separator 3
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
 
6.1%
휘 2
 
6.1%
스 2
 
6.1%
군 2
 
6.1%
리 2
 
6.1%
관 2
 
6.1%
미 1
 
3.0%
세 1
 
3.0%
사 1
 
3.0%
이 1
 
3.0%
Other values (17) 17
51.5%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
91.7%
Common 3
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
 
6.1%
휘 2
 
6.1%
스 2
 
6.1%
군 2
 
6.1%
리 2
 
6.1%
관 2
 
6.1%
미 1
 
3.0%
세 1
 
3.0%
사 1
 
3.0%
이 1
 
3.0%
Other values (17) 17
51.5%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
91.7%
ASCII 3
 
8.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
100.0%
Hangul
ValueCountFrequency (%)
지 2
 
6.1%
휘 2
 
6.1%
스 2
 
6.1%
군 2
 
6.1%
리 2
 
6.1%
관 2
 
6.1%
미 1
 
3.0%
세 1
 
3.0%
사 1
 
3.0%
이 1
 
3.0%
Other values (17) 17
51.5%

Unnamed: 8
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2023-12-13T03:40:39.809192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row응용
2nd row경제
ValueCountFrequency (%)
응용 1
50.0%
경제 1
50.0%
2023-12-13T03:40:40.282495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
응 1
20.0%
용 1
20.0%
1
20.0%
경 1
20.0%
제 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
응 1
25.0%
용 1
25.0%
경 1
25.0%
제 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
응 1
25.0%
용 1
25.0%
경 1
25.0%
제 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
응 1
25.0%
용 1
25.0%
경 1
25.0%
제 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 9
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2023-12-13T03:40:40.538323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row군사
2nd row영어
ValueCountFrequency (%)
군사 1
50.0%
영어 1
50.0%
2023-12-13T03:40:41.033860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 1
20.0%
사 1
20.0%
1
20.0%
영 1
20.0%
어 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 1
25.0%
사 1
25.0%
영 1
25.0%
어 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 1
25.0%
사 1
25.0%
영 1
25.0%
어 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 1
25.0%
사 1
25.0%
영 1
25.0%
어 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 10
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2023-12-13T03:40:41.275989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row군사
2nd row인문
ValueCountFrequency (%)
군사 1
50.0%
인문 1
50.0%
2023-12-13T03:40:41.749063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 1
20.0%
사 1
20.0%
1
20.0%
인 1
20.0%
문 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 1
25.0%
사 1
25.0%
인 1
25.0%
문 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 1
25.0%
사 1
25.0%
인 1
25.0%
문 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 1
25.0%
사 1
25.0%
인 1
25.0%
문 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

자연계열
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing23
Missing (%)67.6%
Memory size404.0 B
2023-12-13T03:40:42.063373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length7
Mean length8.8181818
Min length2

Characters and Unicode

Total characters97
Distinct characters48
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st row군사과학
2nd row전략적 국방분석
3rd row사이버전
4th row레이저 개론
5th row군사화학
ValueCountFrequency (%)
군사과학 1
 
5.0%
전략적 1
 
5.0%
응용 1
 
5.0%
택5 1
 
5.0%
알고리즘 1
 
5.0%
기초 1
 
5.0%
선형대수학 1
 
5.0%
미분방정식 1
 
5.0%
공학개론 1
 
5.0%
공업수학 1
 
5.0%
Other values (10) 10
50.0%
2023-12-13T03:40:42.617925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
11.3%
학 9
 
9.3%
, 7
 
7.2%
사 4
 
4.1%
리 4
 
4.1%
군 3
 
3.1%
물 3
 
3.1%
응 2
 
2.1%
론 2
 
2.1%
수 2
 
2.1%
Other values (38) 50
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74
76.3%
Space Separator 12
 
12.4%
Other Punctuation 7
 
7.2%
Open Punctuation 1
 
1.0%
Decimal Number 1
 
1.0%
Math Symbol 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 9
 
12.2%
사 4
 
5.4%
리 4
 
5.4%
군 3
 
4.1%
물 3
 
4.1%
응 2
 
2.7%
론 2
 
2.7%
수 2
 
2.7%
공 2
 
2.7%
용 2
 
2.7%
Other values (31) 41
55.4%
Space Separator
ValueCountFrequency (%)
11
91.7%
  1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74
76.3%
Common 23
 
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 9
 
12.2%
사 4
 
5.4%
리 4
 
5.4%
군 3
 
4.1%
물 3
 
4.1%
응 2
 
2.7%
론 2
 
2.7%
수 2
 
2.7%
공 2
 
2.7%
용 2
 
2.7%
Other values (31) 41
55.4%
Common
ValueCountFrequency (%)
11
47.8%
, 7
30.4%
( 1
 
4.3%
5 1
 
4.3%
+ 1
 
4.3%
  1
 
4.3%
) 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74
76.3%
ASCII 22
 
22.7%
None 1
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
50.0%
, 7
31.8%
( 1
 
4.5%
5 1
 
4.5%
+ 1
 
4.5%
) 1
 
4.5%
Hangul
ValueCountFrequency (%)
학 9
 
12.2%
사 4
 
5.4%
리 4
 
5.4%
군 3
 
4.1%
물 3
 
4.1%
응 2
 
2.7%
론 2
 
2.7%
수 2
 
2.7%
공 2
 
2.7%
용 2
 
2.7%
Other values (31) 41
55.4%
None
ValueCountFrequency (%)
  1
100.0%

Unnamed: 12
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2023-12-13T03:40:42.857188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row응용
2nd row화학
ValueCountFrequency (%)
응용 1
50.0%
화학 1
50.0%
2023-12-13T03:40:43.310805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
응 1
20.0%
용 1
20.0%
1
20.0%
화 1
20.0%
학 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
응 1
25.0%
용 1
25.0%
화 1
25.0%
학 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
응 1
25.0%
용 1
25.0%
화 1
25.0%
학 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
응 1
25.0%
용 1
25.0%
화 1
25.0%
학 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 13
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2023-12-13T03:40:43.499138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row운영
2nd row분석
ValueCountFrequency (%)
운영 1
50.0%
분석 1
50.0%
2023-12-13T03:40:43.905956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
운 1
20.0%
영 1
20.0%
1
20.0%
분 1
20.0%
석 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 1
25.0%
영 1
25.0%
분 1
25.0%
석 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
운 1
25.0%
영 1
25.0%
분 1
25.0%
석 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
운 1
25.0%
영 1
25.0%
분 1
25.0%
석 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 14
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing30
Missing (%)88.2%
Memory size404.0 B
2023-12-13T03:40:44.148142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row컴
2nd row퓨
3rd row터
4th row과학
ValueCountFrequency (%)
컴 1
25.0%
퓨 1
25.0%
터 1
25.0%
과학 1
25.0%
2023-12-13T03:40:44.599973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
컴 1
16.7%
퓨 1
16.7%
터 1
16.7%
1
16.7%
과 1
16.7%
학 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
83.3%
Space Separator 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
컴 1
20.0%
퓨 1
20.0%
터 1
20.0%
과 1
20.0%
학 1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
83.3%
Common 1
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
컴 1
20.0%
퓨 1
20.0%
터 1
20.0%
과 1
20.0%
학 1
20.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
83.3%
ASCII 1
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
컴 1
20.0%
퓨 1
20.0%
터 1
20.0%
과 1
20.0%
학 1
20.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 15
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2023-12-13T03:40:44.824519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row전자
2nd row공학
ValueCountFrequency (%)
전자 1
50.0%
공학 1
50.0%
2023-12-13T03:40:45.285973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1
20.0%
자 1
20.0%
1
20.0%
공 1
20.0%
학 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Space Separator 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1
25.0%
자 1
25.0%
공 1
25.0%
학 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1
25.0%
자 1
25.0%
공 1
25.0%
학 1
25.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1
25.0%
자 1
25.0%
공 1
25.0%
학 1
25.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 16
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing28
Missing (%)82.4%
Memory size404.0 B
2023-12-13T03:40:45.530353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length4.8333333
Min length4

Characters and Unicode

Total characters29
Distinct characters20
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

Unique6 ?
Unique (%)100.0%

Sample

1st row군사공학
2nd row방호공학
3rd row군전자통신
4th row무기공학
5th row군사지리기상
ValueCountFrequency (%)
군사공학 1
16.7%
방호공학 1
16.7%
군전자통신 1
16.7%
무기공학 1
16.7%
군사지리기상 1
16.7%
국방m&s 1
16.7%
2023-12-13T03:40:46.001938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 3
 
10.3%
공 3
 
10.3%
학 3
 
10.3%
기 2
 
6.9%
방 2
 
6.9%
사 2
 
6.9%
& 1
 
3.4%
M 1
 
3.4%
국 1
 
3.4%
상 1
 
3.4%
Other values (10) 10
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25
86.2%
Uppercase Letter 2
 
6.9%
Other Punctuation 1
 
3.4%
Space Separator 1
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 3
12.0%
공 3
12.0%
학 3
12.0%
기 2
 
8.0%
방 2
 
8.0%
사 2
 
8.0%
국 1
 
4.0%
상 1
 
4.0%
리 1
 
4.0%
지 1
 
4.0%
Other values (6) 6
24.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25
86.2%
Common 2
 
6.9%
Latin 2
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 3
12.0%
공 3
12.0%
학 3
12.0%
기 2
 
8.0%
방 2
 
8.0%
사 2
 
8.0%
국 1
 
4.0%
상 1
 
4.0%
리 1
 
4.0%
지 1
 
4.0%
Other values (6) 6
24.0%
Common
ValueCountFrequency (%)
& 1
50.0%
1
50.0%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25
86.2%
ASCII 4
 
13.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 3
12.0%
공 3
12.0%
학 3
12.0%
기 2
 
8.0%
방 2
 
8.0%
사 2
 
8.0%
국 1
 
4.0%
상 1
 
4.0%
리 1
 
4.0%
지 1
 
4.0%
Other values (6) 6
24.0%
ASCII
ValueCountFrequency (%)
& 1
25.0%
M 1
25.0%
1
25.0%
S 1
25.0%

Unnamed: 17
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2023-12-13T03:40:46.136535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
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 (%)100.0%

Sample

1st row기계
ValueCountFrequency (%)
기계 1
100.0%
2023-12-13T03:40:46.465235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
33.3%
계 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Space Separator 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
계 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
계 1
50.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
계 1
50.0%
ASCII
ValueCountFrequency (%)
1
100.0%

Unnamed: 18
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2023-12-13T03:40:46.609708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row토목
ValueCountFrequency (%)
토목 1
100.0%
2023-12-13T03:40:46.987262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%

Unnamed: 19
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2023-12-13T03:40:47.171458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row환경
ValueCountFrequency (%)
환경 1
100.0%
2023-12-13T03:40:47.529915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
환 1
50.0%
경 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
환 1
50.0%
경 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
환 1
50.0%
경 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
환 1
50.0%
경 1
50.0%

Unnamed: 20
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing31
Missing (%)91.2%
Memory size404.0 B
2023-12-13T03:40:47.753604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.3333333
Min length1

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row시
2nd row스
3rd row템
ValueCountFrequency (%)
시 1
33.3%
스 1
33.3%
템 1
33.3%
2023-12-13T03:40:48.232985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1
25.0%
스 1
25.0%
템 1
25.0%
1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Space Separator 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1
33.3%
스 1
33.3%
템 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1
33.3%
스 1
33.3%
템 1
33.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1
33.3%
스 1
33.3%
템 1
33.3%
ASCII
ValueCountFrequency (%)
1
100.0%

Sample

구    분Unnamed: 1Unnamed: 2인문계열Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10자연계열Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20
0이수 과목 및 학점<NA>NaN총 201~213+ 학점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1智仁勇필수12+智(64 독서프로그램, 영어집중교육, 1인 1군사학 팀프로젝트 등),<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2NaN<NA>NaN仁(화랑대교양강좌, 성인지력 교육 등)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313+<NA>NaN勇(장교학, 생도맟춤형체력단련프로그램 등)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4교양기초21+한국사, 논리적 글쓰기, Academic English, 미분적분학, 과학적 사고와 실험, 프로그래밍 기초, 통계의 이해<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5NaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
636+선택15+인간과 사회, 언어와 철학, 자연과 생명, 기술과 환경 분야 개설 과목 중 택 5+ 과목 (분야별 최소 1 개 선택)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7군사학 전공기초30+헌법과 민주시민, 전쟁의 역사, 리더십, 국가안보론<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8NaN<NA>NaN국방ICT, 미래무기체계, 군사공학, Military English, 군사이론(6)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963+필수15+국방전략<NA><NA><NA>지휘관리<NA><NA><NA>군사과학<NA><NA><NA><NA>군사공학<NA><NA><NA><NA>
구    분Unnamed: 1Unnamed: 2인문계열Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10자연계열Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20
24NaN선택15+군사학/일반학전공 선택, 융합전공 선택 과목 중<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25NaN<NA>NaNACP (Academic Counselor Professor)와 논의 후 5+ 과목 선택 (체육학 이론 과목 포함)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26체육필수2태권도, 수영, 경쟁스포츠 L&T<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
27NaN<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
288선택6체력단련, 구기운동 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
29부전공 12<NA>NaN부전공 : 타 전공 /계열 과목 4 과목 (ACP 승인 시)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
30:생도 희망 시<NA>NaN* 군사학, 일반학 선택 과목과 연계 가능 (ACP 승인 시)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31훈육 20<NA>NaN학기별 2 학점 x8, 하훈별 1 학점 x4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32하훈 16<NA>NaN필수훈련과 선택훈련 구분<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33총 201~213± 학점, 일반학 144~156± (智仁勇, 체육, 훈육, 하훈 제외)<NA>NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 1인문계열Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10자연계열Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3