Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells3995
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory213.0 B

Variable types

Categorical13
Numeric4
Text8

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author한국대학교육협의회
URLhttps://www.data.go.kr/data/15107737/standard.do

Alerts

연도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
주야과정명 is highly imbalanced (52.7%)Imbalance
학교학과특성명 is highly imbalanced (84.5%)Imbalance
수정일자 is highly imbalanced (88.6%)Imbalance
주요교과목명 has 1593 (15.9%) missing valuesMissing
관련직업명 has 2402 (24.0%) missing valuesMissing
입학정원수 is highly skewed (γ1 = 26.06990722)Skewed
입학정원수 has 8162 (81.6%) zerosZeros
졸업자수 has 6365 (63.6%) zerosZeros

Reproduction

Analysis started2024-01-14 13:40:16.162706
Analysis finished2024-01-14 13:40:19.799661
Duration3.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 10000
100.0%

Length

2024-01-14T22:40:19.891892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:20.308752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 10000
100.0%

시도코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5156
Minimum11
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T22:40:20.450422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q128
median41
Q345
95-th percentile50
Maximum51
Range40
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.824648
Coefficient of variation (CV)0.36109902
Kurtosis-0.55910531
Mean35.5156
Median Absolute Deviation (MAD)7
Skewness-0.85468053
Sum355156
Variance164.4716
MonotonicityNot monotonic
2024-01-14T22:40:20.624013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
41 1915
19.1%
11 1593
15.9%
45 1471
14.7%
29 652
 
6.5%
44 562
 
5.6%
50 496
 
5.0%
47 433
 
4.3%
28 430
 
4.3%
26 392
 
3.9%
51 343
 
3.4%
Other values (6) 1713
17.1%
ValueCountFrequency (%)
11 1593
15.9%
26 392
 
3.9%
27 234
 
2.3%
28 430
 
4.3%
29 652
 
6.5%
30 310
 
3.1%
31 319
 
3.2%
41 1915
19.1%
43 270
 
2.7%
44 562
 
5.6%
ValueCountFrequency (%)
51 343
 
3.4%
50 496
 
5.0%
48 307
 
3.1%
47 433
 
4.3%
46 273
 
2.7%
45 1471
14.7%
44 562
 
5.6%
43 270
 
2.7%
41 1915
19.1%
31 319
 
3.2%

시도명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
1915 
서울특별시
1593 
전라북도
1471 
광주광역시
652 
충청남도
562 
Other values (11)
3807 

Length

Max length7
Median length5
Mean length4.4532
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도
2nd row인천광역시
3rd row인천광역시
4th row경기도
5th row경상북도

Common Values

ValueCountFrequency (%)
경기도 1915
19.1%
서울특별시 1593
15.9%
전라북도 1471
14.7%
광주광역시 652
 
6.5%
충청남도 562
 
5.6%
제주특별자치도 496
 
5.0%
경상북도 433
 
4.3%
인천광역시 430
 
4.3%
부산광역시 392
 
3.9%
강원특별자치도 343
 
3.4%
Other values (6) 1713
17.1%

Length

2024-01-14T22:40:20.781718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 1915
19.1%
서울특별시 1593
15.9%
전라북도 1471
14.7%
광주광역시 652
 
6.5%
충청남도 562
 
5.6%
제주특별자치도 496
 
5.0%
경상북도 433
 
4.3%
인천광역시 430
 
4.3%
부산광역시 392
 
3.9%
강원특별자치도 343
 
3.4%
Other values (6) 1713
17.1%

시군구코드
Real number (ℝ)

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean294.2113
Minimum110
Maximum870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T22:40:20.943278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile110
Q1130
median200
Q3410
95-th percentile710
Maximum870
Range760
Interquartile range (IQR)280

Descriptive statistics

Standard deviation211.68738
Coefficient of variation (CV)0.719508
Kurtosis-0.40566595
Mean294.2113
Median Absolute Deviation (MAD)90
Skewness0.99850598
Sum2942113
Variance44811.548
MonotonicityNot monotonic
2024-01-14T22:40:21.146319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
110 2282
22.8%
590 775
 
7.8%
140 684
 
6.8%
170 647
 
6.5%
200 562
 
5.6%
410 520
 
5.2%
130 407
 
4.1%
710 405
 
4.0%
290 338
 
3.4%
215 327
 
3.3%
Other values (34) 3053
30.5%
ValueCountFrequency (%)
110 2282
22.8%
120 187
 
1.9%
130 407
 
4.1%
140 684
 
6.8%
150 220
 
2.2%
155 70
 
0.7%
170 647
 
6.5%
177 209
 
2.1%
180 20
 
0.2%
185 167
 
1.7%
ValueCountFrequency (%)
870 2
 
< 0.1%
840 5
 
0.1%
830 109
 
1.1%
800 23
 
0.2%
760 126
 
1.3%
750 85
 
0.9%
740 62
 
0.6%
730 25
 
0.2%
720 25
 
0.2%
710 405
4.0%
Distinct78
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-14T22:40:21.469566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9622
Min length2

Characters and Unicode

Total characters29622
Distinct characters80
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

Unique0 ?
Unique (%)0.0%

Sample

1st row동두천시
2nd row미추홀구
3rd row미추홀구
4th row고양시
5th row안동시
ValueCountFrequency (%)
전주시 904
 
9.0%
동구 647
 
6.5%
서대문구 520
 
5.2%
제주시 496
 
5.0%
화성시 409
 
4.1%
동작구 366
 
3.7%
남구 366
 
3.7%
익산시 355
 
3.5%
경산시 338
 
3.4%
광진구 327
 
3.3%
Other values (68) 5272
52.7%
2024-01-14T22:40:21.881785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5303
17.9%
3830
 
12.9%
2116
 
7.1%
1641
 
5.5%
1215
 
4.1%
904
 
3.1%
884
 
3.0%
867
 
2.9%
627
 
2.1%
586
 
2.0%
Other values (70) 11649
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29622
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5303
17.9%
3830
 
12.9%
2116
 
7.1%
1641
 
5.5%
1215
 
4.1%
904
 
3.1%
884
 
3.0%
867
 
2.9%
627
 
2.1%
586
 
2.0%
Other values (70) 11649
39.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29622
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5303
17.9%
3830
 
12.9%
2116
 
7.1%
1641
 
5.5%
1215
 
4.1%
904
 
3.1%
884
 
3.0%
867
 
2.9%
627
 
2.1%
586
 
2.0%
Other values (70) 11649
39.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29622
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5303
17.9%
3830
 
12.9%
2116
 
7.1%
1641
 
5.5%
1215
 
4.1%
904
 
3.1%
884
 
3.0%
867
 
2.9%
627
 
2.1%
586
 
2.0%
Other values (70) 11649
39.3%
Distinct545
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-14T22:40:22.174328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.8059
Min length4

Characters and Unicode

Total characters78059
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)1.0%

Sample

1st row신한대학교 지식복지대학원
2nd row인하대학교 대학원
3rd row인하대학교 공학대학원
4th row중부대학교 휴먼텍대학원
5th row안동과학대학교
ValueCountFrequency (%)
대학원 1271
 
9.3%
일반대학원 574
 
4.2%
전북대학교 521
 
3.8%
교육대학원 405
 
3.0%
조선대학교 345
 
2.5%
영남대학교 339
 
2.5%
제주대학교 309
 
2.3%
이화여자대학교 288
 
2.1%
신라대학교 283
 
2.1%
세종대학교 280
 
2.1%
Other values (316) 9018
66.1%
2024-01-14T22:40:22.968904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14345
18.4%
13593
17.4%
10331
13.2%
5089
 
6.5%
3633
 
4.7%
1512
 
1.9%
1222
 
1.6%
959
 
1.2%
905
 
1.2%
874
 
1.1%
Other values (227) 25596
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73945
94.7%
Space Separator 3633
 
4.7%
Open Punctuation 197
 
0.3%
Close Punctuation 197
 
0.3%
Uppercase Letter 41
 
0.1%
Other Punctuation 33
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14345
19.4%
13593
18.4%
10331
14.0%
5089
 
6.9%
1512
 
2.0%
1222
 
1.7%
959
 
1.3%
905
 
1.2%
874
 
1.2%
815
 
1.1%
Other values (204) 24300
32.9%
Uppercase Letter
ValueCountFrequency (%)
T 10
24.4%
S 7
17.1%
O 6
14.6%
I 5
12.2%
L 4
 
9.8%
E 4
 
9.8%
G 2
 
4.9%
N 2
 
4.9%
C 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
u 2
18.2%
c 1
9.1%
o 1
9.1%
n 1
9.1%
h 1
9.1%
r 1
9.1%
t 1
9.1%
l 1
9.1%
Space Separator
ValueCountFrequency (%)
3633
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Other Punctuation
ValueCountFrequency (%)
· 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73945
94.7%
Common 4062
 
5.2%
Latin 52
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14345
19.4%
13593
18.4%
10331
14.0%
5089
 
6.9%
1512
 
2.0%
1222
 
1.7%
959
 
1.3%
905
 
1.2%
874
 
1.2%
815
 
1.1%
Other values (204) 24300
32.9%
Latin
ValueCountFrequency (%)
T 10
19.2%
S 7
13.5%
O 6
11.5%
I 5
9.6%
L 4
 
7.7%
E 4
 
7.7%
e 2
 
3.8%
u 2
 
3.8%
G 2
 
3.8%
N 2
 
3.8%
Other values (8) 8
15.4%
Common
ValueCountFrequency (%)
3633
89.4%
( 197
 
4.8%
) 197
 
4.8%
· 33
 
0.8%
- 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73945
94.7%
ASCII 4081
 
5.2%
None 33
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14345
19.4%
13593
18.4%
10331
14.0%
5089
 
6.9%
1512
 
2.0%
1222
 
1.7%
959
 
1.3%
905
 
1.2%
874
 
1.2%
815
 
1.1%
Other values (204) 24300
32.9%
ASCII
ValueCountFrequency (%)
3633
89.0%
( 197
 
4.8%
) 197
 
4.8%
T 10
 
0.2%
S 7
 
0.2%
O 6
 
0.1%
I 5
 
0.1%
L 4
 
0.1%
E 4
 
0.1%
e 2
 
< 0.1%
Other values (12) 16
 
0.4%
None
ValueCountFrequency (%)
· 33
100.0%

학교구분명
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대학교
3964 
전문대학
2223 
일반대학원
1821 
특수대학원
1685 
전문대학원
 
172
Other values (6)
 
135

Length

Max length9
Median length8
Mean length4.0254
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row특수대학원
2nd row일반대학원
3rd row특수대학원
4th row특수대학원
5th row전문대학

Common Values

ValueCountFrequency (%)
대학교 3964
39.6%
전문대학 2223
22.2%
일반대학원 1821
18.2%
특수대학원 1685
16.9%
전문대학원 172
 
1.7%
사이버대학(대학) 84
 
0.8%
교육대학 20
 
0.2%
각종학교(대학) 15
 
0.1%
사이버대학(전문) 12
 
0.1%
기술대학 3
 
< 0.1%

Length

2024-01-14T22:40:23.168052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대학교 3964
39.6%
전문대학 2223
22.2%
일반대학원 1821
18.2%
특수대학원 1685
16.9%
전문대학원 172
 
1.7%
사이버대학(대학 84
 
0.8%
교육대학 20
 
0.2%
각종학교(대학 15
 
0.1%
사이버대학(전문 12
 
0.1%
기술대학 3
 
< 0.1%

수업연한
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4년
5013 
2년
2856 
2.5년
1060 
3년
641 
2년(전공심화)
 
174
Other values (8)
 
256

Length

Max length8
Median length2
Mean length2.3956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2년
2nd row4년
3rd row4년
4th row2년
5th row2년(전공심화)

Common Values

ValueCountFrequency (%)
4년 5013
50.1%
2년 2856
28.6%
2.5년 1060
 
10.6%
3년 641
 
6.4%
2년(전공심화) 174
 
1.7%
1년(전공심화) 110
 
1.1%
6년 43
 
0.4%
4.5년 31
 
0.3%
5년 28
 
0.3%
1.5년 26
 
0.3%
Other values (3) 18
 
0.2%

Length

2024-01-14T22:40:23.360525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4년 5013
50.1%
2년 2856
28.6%
2.5년 1060
 
10.6%
3년 641
 
6.4%
2년(전공심화 174
 
1.7%
1년(전공심화 110
 
1.1%
6년 43
 
0.4%
4.5년 31
 
0.3%
5년 28
 
0.3%
1.5년 26
 
0.3%
Other values (3) 18
 
0.2%

학위과정명
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
학사
4688 
전문학사
1908 
석사
1886 
석사+박사+석박사통
861 
석사+박사
494 
Other values (6)
 
163

Length

Max length10
Median length2
Mean length3.2291
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row석사
2nd row석사+박사+석박사통
3rd row학사
4th row석사
5th row학사

Common Values

ValueCountFrequency (%)
학사 4688
46.9%
전문학사 1908
19.1%
석사 1886
18.9%
석사+박사+석박사통 861
 
8.6%
석사+박사 494
 
4.9%
박사 138
 
1.4%
석박사통합 9
 
0.1%
전문기술석사 6
 
0.1%
박사+석박사통합 5
 
0.1%
석사+석박사통합 3
 
< 0.1%

Length

2024-01-14T22:40:23.537174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학사 4688
46.9%
전문학사 1908
19.1%
석사 1886
18.9%
석사+박사+석박사통 861
 
8.6%
석사+박사 494
 
4.9%
박사 138
 
1.4%
석박사통합 9
 
0.1%
전문기술석사 6
 
0.1%
박사+석박사통합 5
 
< 0.1%
석사+석박사통합 3
 
< 0.1%

주야과정명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주간
7495 
야간
2273 
원격
 
132
계절
 
100

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간
2nd row주간
3rd row야간
4th row야간
5th row야간

Common Values

ValueCountFrequency (%)
주간 7495
75.0%
야간 2273
 
22.7%
원격 132
 
1.3%
계절 100
 
1.0%

Length

2024-01-14T22:40:23.727175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:23.855088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 7495
75.0%
야간 2273
 
22.7%
원격 132
 
1.3%
계절 100
 
1.0%

학과상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기존
4964 
폐과
4479 
신설
 
285
변경
 
227
분리
 
26

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐과
2nd row기존
3rd row기존
4th row기존
5th row폐과

Common Values

ValueCountFrequency (%)
기존 4964
49.6%
폐과 4479
44.8%
신설 285
 
2.9%
변경 227
 
2.3%
분리 26
 
0.3%
통합 19
 
0.2%

Length

2024-01-14T22:40:23.993493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:24.135785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기존 4964
49.6%
폐과 4479
44.8%
신설 285
 
2.9%
변경 227
 
2.3%
분리 26
 
0.3%
통합 19
 
0.2%
Distinct5047
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-14T22:40:24.537382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.2261
Min length2

Characters and Unicode

Total characters72261
Distinct characters490
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3764 ?
Unique (%)37.6%

Sample

1st row도시기반부동산학과
2nd row영어영문학과
3rd row기타(소속학과없음)
4th row인쇄미디어·전자출판학과
5th row의료공학과
ValueCountFrequency (%)
기타(소속학과없음 366
 
3.5%
사회복지학과 95
 
0.9%
경영학과 90
 
0.8%
간호학과 69
 
0.7%
식품영양학과 55
 
0.5%
행정학과 49
 
0.5%
사회복지과 49
 
0.5%
유아교육과 45
 
0.4%
건축공학과 44
 
0.4%
기계공학과 38
 
0.4%
Other values (5079) 9690
91.5%
2024-01-14T22:40:25.108012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7655
 
10.6%
7495
 
10.4%
4083
 
5.7%
2688
 
3.7%
1105
 
1.5%
1089
 
1.5%
1080
 
1.5%
1059
 
1.5%
1036
 
1.4%
1014
 
1.4%
Other values (480) 43957
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68680
95.0%
Open Punctuation 921
 
1.3%
Close Punctuation 893
 
1.2%
Uppercase Letter 619
 
0.9%
Space Separator 606
 
0.8%
Lowercase Letter 205
 
0.3%
Decimal Number 145
 
0.2%
Other Punctuation 131
 
0.2%
Dash Punctuation 52
 
0.1%
Math Symbol 5
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7655
 
11.1%
7495
 
10.9%
4083
 
5.9%
2688
 
3.9%
1105
 
1.6%
1089
 
1.6%
1080
 
1.6%
1059
 
1.5%
1036
 
1.5%
1014
 
1.5%
Other values (415) 40376
58.8%
Uppercase Letter
ValueCountFrequency (%)
I 149
24.1%
T 113
18.3%
A 70
11.3%
C 40
 
6.5%
K 31
 
5.0%
B 29
 
4.7%
M 23
 
3.7%
E 20
 
3.2%
D 19
 
3.1%
S 17
 
2.7%
Other values (13) 108
17.4%
Lowercase Letter
ValueCountFrequency (%)
e 38
18.5%
i 24
11.7%
o 22
10.7%
a 22
10.7%
n 15
 
7.3%
t 13
 
6.3%
c 11
 
5.4%
r 11
 
5.4%
s 11
 
5.4%
l 10
 
4.9%
Other values (11) 28
13.7%
Decimal Number
ValueCountFrequency (%)
3 73
50.3%
2 23
 
15.9%
4 17
 
11.7%
5 15
 
10.3%
6 7
 
4.8%
1 7
 
4.8%
0 2
 
1.4%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 40
30.5%
· 38
29.0%
. 28
21.4%
& 19
14.5%
, 4
 
3.1%
; 2
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 921
100.0%
Close Punctuation
ValueCountFrequency (%)
) 893
100.0%
Space Separator
ValueCountFrequency (%)
606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68680
95.0%
Common 2757
 
3.8%
Latin 824
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7655
 
11.1%
7495
 
10.9%
4083
 
5.9%
2688
 
3.9%
1105
 
1.6%
1089
 
1.6%
1080
 
1.6%
1059
 
1.5%
1036
 
1.5%
1014
 
1.5%
Other values (415) 40376
58.8%
Latin
ValueCountFrequency (%)
I 149
18.1%
T 113
 
13.7%
A 70
 
8.5%
C 40
 
4.9%
e 38
 
4.6%
K 31
 
3.8%
B 29
 
3.5%
i 24
 
2.9%
M 23
 
2.8%
o 22
 
2.7%
Other values (34) 285
34.6%
Common
ValueCountFrequency (%)
( 921
33.4%
) 893
32.4%
606
22.0%
3 73
 
2.6%
- 52
 
1.9%
/ 40
 
1.5%
· 38
 
1.4%
. 28
 
1.0%
2 23
 
0.8%
& 19
 
0.7%
Other values (11) 64
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68680
95.0%
ASCII 3542
 
4.9%
None 38
 
0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7655
 
11.1%
7495
 
10.9%
4083
 
5.9%
2688
 
3.9%
1105
 
1.6%
1089
 
1.6%
1080
 
1.6%
1059
 
1.5%
1036
 
1.5%
1014
 
1.5%
Other values (415) 40376
58.8%
ASCII
ValueCountFrequency (%)
( 921
26.0%
) 893
25.2%
606
17.1%
I 149
 
4.2%
T 113
 
3.2%
3 73
 
2.1%
A 70
 
2.0%
- 52
 
1.5%
/ 40
 
1.1%
C 40
 
1.1%
Other values (53) 585
16.5%
None
ValueCountFrequency (%)
· 38
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
Distinct5605
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-14T22:40:25.533484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters120000
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4266 ?
Unique (%)42.7%

Sample

1st rowG04020200082
2nd rowG01010600006
3rd rowZ99999999999
4th rowG04110200150
5th rowC06020300002
ValueCountFrequency (%)
z99999999999 366
 
3.7%
g02030100032 49
 
0.5%
g02010100022 46
 
0.5%
c02030100015 43
 
0.4%
u06020100004 36
 
0.4%
u02030100029 28
 
0.3%
c03020100017 27
 
0.3%
g03010100034 27
 
0.3%
g02030700176 26
 
0.3%
u05030200045 25
 
0.2%
Other values (5595) 9327
93.3%
2024-01-14T22:40:26.099638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57407
47.8%
1 12159
 
10.1%
2 9649
 
8.0%
3 6480
 
5.4%
4 5935
 
4.9%
9 5588
 
4.7%
5 4099
 
3.4%
U 4038
 
3.4%
G 3394
 
2.8%
7 3363
 
2.8%
Other values (4) 7888
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110000
91.7%
Uppercase Letter 10000
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57407
52.2%
1 12159
 
11.1%
2 9649
 
8.8%
3 6480
 
5.9%
4 5935
 
5.4%
9 5588
 
5.1%
5 4099
 
3.7%
7 3363
 
3.1%
6 3078
 
2.8%
8 2242
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
U 4038
40.4%
G 3394
33.9%
C 2202
22.0%
Z 366
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Common 110000
91.7%
Latin 10000
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57407
52.2%
1 12159
 
11.1%
2 9649
 
8.8%
3 6480
 
5.9%
4 5935
 
5.4%
9 5588
 
5.1%
5 4099
 
3.7%
7 3363
 
3.1%
6 3078
 
2.8%
8 2242
 
2.0%
Latin
ValueCountFrequency (%)
U 4038
40.4%
G 3394
33.9%
C 2202
22.0%
Z 366
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57407
47.8%
1 12159
 
10.1%
2 9649
 
8.0%
3 6480
 
5.4%
4 5935
 
4.9%
9 5588
 
4.7%
5 4099
 
3.4%
U 4038
 
3.4%
G 3394
 
2.8%
7 3363
 
2.8%
Other values (4) 7888
 
6.6%
Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-14T22:40:26.473564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st rowD16076
2nd rowA01006
3rd rowA99999
4th rowD99999
5th rowD15088
ValueCountFrequency (%)
a99999 518
 
5.2%
a03033 469
 
4.7%
c13125 339
 
3.4%
c10120 328
 
3.3%
a05025 313
 
3.1%
a05029 259
 
2.6%
d15090 225
 
2.2%
d15091 214
 
2.1%
d19078 198
 
2.0%
a03039 193
 
1.9%
Other values (173) 6944
69.4%
2024-01-14T22:40:27.016446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12575
21.0%
9 8615
14.4%
1 8171
13.6%
2 4505
 
7.5%
5 4069
 
6.8%
A 4066
 
6.8%
3 3935
 
6.6%
D 2585
 
4.3%
8 2494
 
4.2%
6 1977
 
3.3%
Other values (5) 7008
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
83.3%
Uppercase Letter 10000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12575
25.1%
9 8615
17.2%
1 8171
16.3%
2 4505
 
9.0%
5 4069
 
8.1%
3 3935
 
7.9%
8 2494
 
5.0%
6 1977
 
4.0%
7 1951
 
3.9%
4 1708
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 4066
40.7%
D 2585
25.9%
B 1853
18.5%
C 1428
 
14.3%
E 68
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 50000
83.3%
Latin 10000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12575
25.1%
9 8615
17.2%
1 8171
16.3%
2 4505
 
9.0%
5 4069
 
8.1%
3 3935
 
7.9%
8 2494
 
5.0%
6 1977
 
4.0%
7 1951
 
3.9%
4 1708
 
3.4%
Latin
ValueCountFrequency (%)
A 4066
40.7%
D 2585
25.9%
B 1853
18.5%
C 1428
 
14.3%
E 68
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12575
21.0%
9 8615
14.4%
1 8171
13.6%
2 4505
 
7.5%
5 4069
 
6.8%
A 4066
 
6.8%
3 3935
 
6.6%
D 2585
 
4.3%
8 2494
 
4.2%
6 1977
 
3.3%
Other values (5) 7008
11.7%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인문사회
4154 
공학
2563 
자연과학
1887 
예체능
1328 
의학
 
68

Length

Max length4
Median length4
Mean length3.341
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공학
2nd row인문사회
3rd row인문사회
4th row공학
5th row공학

Common Values

ValueCountFrequency (%)
인문사회 4154
41.5%
공학 2563
25.6%
자연과학 1887
18.9%
예체능 1328
 
13.3%
의학 68
 
0.7%

Length

2024-01-14T22:40:27.201211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:27.330948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인문사회 4154
41.5%
공학 2563
25.6%
자연과학 1887
18.9%
예체능 1328
 
13.3%
의학 68
 
0.7%
Distinct210
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-14T22:40:27.730551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length7
Mean length6.6092
Min length4

Characters and Unicode

Total characters66092
Distinct characters205
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.2%

Sample

1st row단과대구분없음
2nd row단과대구분없음
3rd row단과대구분없음
4th row단과대구분없음
5th row단과대구분없음
ValueCountFrequency (%)
단과대구분없음 6758
67.4%
공과대학 423
 
4.2%
사회과학대학 167
 
1.7%
자연과학대학 161
 
1.6%
인문대학 133
 
1.3%
사범대학 90
 
0.9%
예술대학 79
 
0.8%
경영대학 68
 
0.7%
인문사회과학대학 63
 
0.6%
보건복지대학 56
 
0.6%
Other values (206) 2029
 
20.2%
2024-01-14T22:40:28.508091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9960
15.1%
8215
12.4%
6789
10.3%
6758
10.2%
6758
10.2%
6758
10.2%
6758
10.2%
4140
6.3%
624
 
0.9%
485
 
0.7%
Other values (195) 8847
13.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65570
99.2%
Uppercase Letter 316
 
0.5%
Lowercase Letter 126
 
0.2%
Other Punctuation 38
 
0.1%
Space Separator 27
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9960
15.2%
8215
12.5%
6789
10.4%
6758
10.3%
6758
10.3%
6758
10.3%
6758
10.3%
4140
6.3%
624
 
1.0%
485
 
0.7%
Other values (156) 8325
12.7%
Uppercase Letter
ValueCountFrequency (%)
T 84
26.6%
I 82
25.9%
C 52
16.5%
S 18
 
5.7%
M 18
 
5.7%
R 16
 
5.1%
A 13
 
4.1%
H 9
 
2.8%
W 9
 
2.8%
P 3
 
0.9%
Other values (6) 12
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
o 23
18.3%
e 13
10.3%
l 11
8.7%
t 11
8.7%
g 10
7.9%
r 10
7.9%
y 9
 
7.1%
n 9
 
7.1%
h 9
 
7.1%
c 9
 
7.1%
Other values (6) 12
9.5%
Other Punctuation
ValueCountFrequency (%)
· 18
47.4%
. 11
28.9%
& 9
23.7%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65570
99.2%
Latin 442
 
0.7%
Common 80
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9960
15.2%
8215
12.5%
6789
10.4%
6758
10.3%
6758
10.3%
6758
10.3%
6758
10.3%
4140
6.3%
624
 
1.0%
485
 
0.7%
Other values (156) 8325
12.7%
Latin
ValueCountFrequency (%)
T 84
19.0%
I 82
18.6%
C 52
11.8%
o 23
 
5.2%
S 18
 
4.1%
M 18
 
4.1%
R 16
 
3.6%
A 13
 
2.9%
e 13
 
2.9%
l 11
 
2.5%
Other values (22) 112
25.3%
Common
ValueCountFrequency (%)
27
33.8%
· 18
22.5%
. 11
13.8%
& 9
 
11.2%
( 6
 
7.5%
) 6
 
7.5%
- 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65570
99.2%
ASCII 504
 
0.8%
None 18
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9960
15.2%
8215
12.5%
6789
10.4%
6758
10.3%
6758
10.3%
6758
10.3%
6758
10.3%
4140
6.3%
624
 
1.0%
485
 
0.7%
Other values (156) 8325
12.7%
ASCII
ValueCountFrequency (%)
T 84
16.7%
I 82
16.3%
C 52
 
10.3%
27
 
5.4%
o 23
 
4.6%
S 18
 
3.6%
M 18
 
3.6%
R 16
 
3.2%
A 13
 
2.6%
e 13
 
2.6%
Other values (28) 158
31.3%
None
ValueCountFrequency (%)
· 18
100.0%

학교학과특성명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반과정
9242 
학사학위전공심화(경력없음)
 
249
계약학과
 
239
산업체위탁
 
222
학사학위전공심화(경력있음)
 
28
Other values (6)
 
20

Length

Max length14
Median length4
Mean length4.3061
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row일반과정
2nd row일반과정
3rd row일반과정
4th row일반과정
5th row학사학위전공심화(경력없음)

Common Values

ValueCountFrequency (%)
일반과정 9242
92.4%
학사학위전공심화(경력없음) 249
 
2.5%
계약학과 239
 
2.4%
산업체위탁 222
 
2.2%
학사학위전공심화(경력있음) 28
 
0.3%
전문기술석사과정 6
 
0.1%
학사학위전공심화 6
 
0.1%
특별과정 4
 
< 0.1%
학석사통합과정 2
 
< 0.1%
산학협력취업약정제 1
 
< 0.1%

Length

2024-01-14T22:40:29.060194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반과정 9242
92.4%
학사학위전공심화(경력없음 249
 
2.5%
계약학과 239
 
2.4%
산업체위탁 222
 
2.2%
학사학위전공심화(경력있음 28
 
0.3%
전문기술석사과정 6
 
0.1%
학사학위전공심화 6
 
0.1%
특별과정 4
 
< 0.1%
학석사통합과정 2
 
< 0.1%
산학협력취업약정제 1
 
< 0.1%

주요교과목명
Text

MISSING 

Distinct8171
Distinct (%)97.2%
Missing1593
Missing (%)15.9%
Memory size156.2 KiB
2024-01-14T22:40:29.941808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length500
Median length388
Mean length283.05162
Min length2

Characters and Unicode

Total characters2379615
Distinct characters1215
Distinct categories19 ?
Distinct scripts6 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7968 ?
Unique (%)94.8%

Sample

1st row감정평가론+개수로 수리학+공공시설특론+도시계획특론+도시공간구조론+도시기반세미나+도시설계 스튜디오+도시재생특론+부동산경영론+부동산금융론+부동산컨설팅론+상수도공학 특론+수리수치해석+수자원공학의 GIS 활용+연구방법론+응용수문학+입지론+자원순환론+토지정책론+하수도공학 특론
2nd row18-19세기 영국시+19세기 미국소설+19세기 미국시+19세기 영국소설+20세기 미국소설+20세기 미국시+20세기 영국소설+20세기 영국시+르네상스 영문학+미국문학 세미나 1+미국문학 세미나 2+미국문학 세미나 3+미국희곡+번역연구+셰익스피어+언어습득론+영국문학 세미나 1+영국문학 세미나 2+영국문학 세미나 3+영국문학 세미나 4+영국희곡+영미문학비평+영어교수법+영어교수법 세미나 1+영어교수법 세미나 2+영어교수법 연구+영어담화분석+영어문법론+영어문법론 세미나+영어문법론 연구+영어사+영어사회언어학+영어수리언어학+영어음성학+영어음성학 연구+영어음운론+영어음운론 세미나 1+영어음운론 세미나 2+영어음운론 연구+영어응용언어학+영어의미론+영어의미론 세미나 1+영어의미론 세미나 2+영어의미론 연구+영어조어론+영어통사론+영어통사론 세미나 1+영어통사론 세미나 2+영어통사론 연구+영어학 특강 1+영어학 특강 2+영어학개론+영어학사+영어화용론+영어화용론 세미나 1+영어화용론 세미나 2+영어화용론
3rd row제지공학특론+고분자화학특론+유기화학특론+잉크화학특론+러시안논문특론+산업효소학특론+인쇄공학특론+인쇄세미나+제지세미나특론+펄프학특론+인쇄기계학특론+인쇄물가공학특론+잉크공학특론+러시아인쇄산업+목재해부학특론+종이물성학특론+색채공학특론+전자출판학특론
4th row2D3D 설계 실습+다층PCB 설계+마이크로프로세서응용설계+생체계측 및 기기 설계+생체신호처리 및 실습+수치해석프로그래밍+실무회로해석 및 설계+의료기기 개발 기획실무+의료영상기기+의료영상처리 및 실습+의료임베디드시스템설계+의료정보통신+재활기구설계+전자의료기기 인허가 실무+전자의료기기 종합설계+제어공학+학기제 현장실습
5th rowPR캠페인기획론+PR캠페인연구+갈등커뮤니케이션연구+고급사회통계분석+과학보도커뮤니케이션연구+광고와 소비자+광고이론연구+광고캠페인론+광고커뮤니케이션론+광고학연구+국제커뮤니케이션세미나+뉴미디어광고론+뉴미디어와언론법+뉴미디어의 이해+매스컵연구+매체경영연구+멀티미디어와사회+미디어교육론+미디어비평+박사논문연구 Ⅰ+박사논문연구 Ⅱ+방송저널리즘+방송커뮤니케이션세미나+방송학연구+사이버커뮤니케이션+석사논문연구 Ⅰ+석사논문연구 Ⅱ+설득 및 개혁 커뮤니케이션연구+설득커뮤니케이션연구+신문학연구+신문학이론연구+언론매체와사회문제+언론사상사연구+언론사연구+언론사연구방법론+영상매체론+영상커뮤니케이션+영상커뮤니케이션세미나+온라인저널리즘세미나+정보사회와 멀티미디어+정치커뮤니케이션+정치커뮤니케이션세미나+제주NewsInEducation+중국정치경제와언론+지역언론연구+질적연구방법론+출판학연구+커뮤니케이션과젠더+커뮤니케이션연구방법론+커뮤니케이션연구방법론세미나+커뮤니케이션이론세미나+커뮤니케이션이론연구+탐사보도연구+평화저널리즘
ValueCountFrequency (%)
4864
 
6.1%
and 543
 
0.7%
in 414
 
0.5%
of 380
 
0.5%
특론 228
 
0.3%
위한 215
 
0.3%
실습 213
 
0.3%
212
 
0.3%
이론과 211
 
0.3%
세미나 203
 
0.3%
Other values (51725) 71672
90.5%
2024-01-14T22:40:30.715134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 261483
 
11.0%
72751
 
3.1%
70800
 
3.0%
50251
 
2.1%
34495
 
1.4%
33065
 
1.4%
31774
 
1.3%
27157
 
1.1%
26147
 
1.1%
24751
 
1.0%
Other values (1205) 1746941
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1758097
73.9%
Math Symbol 261536
 
11.0%
Lowercase Letter 93518
 
3.9%
Uppercase Letter 77441
 
3.3%
Space Separator 72768
 
3.1%
Decimal Number 53390
 
2.2%
Open Punctuation 22197
 
0.9%
Close Punctuation 21949
 
0.9%
Letter Number 12654
 
0.5%
Other Punctuation 3078
 
0.1%
Other values (9) 2987
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70800
 
4.0%
50251
 
2.9%
34495
 
2.0%
33065
 
1.9%
31774
 
1.8%
27157
 
1.5%
26147
 
1.5%
24751
 
1.4%
24076
 
1.4%
23590
 
1.3%
Other values (1084) 1411991
80.3%
Uppercase Letter
ValueCountFrequency (%)
I 17510
22.6%
C 7057
 
9.1%
A 6333
 
8.2%
S 5030
 
6.5%
D 4822
 
6.2%
E 4736
 
6.1%
T 4012
 
5.2%
P 3518
 
4.5%
M 3201
 
4.1%
R 2544
 
3.3%
Other values (21) 18678
24.1%
Lowercase Letter
ValueCountFrequency (%)
e 9924
10.6%
n 9846
10.5%
i 9526
10.2%
a 8347
8.9%
o 7425
 
7.9%
t 7158
 
7.7%
r 6122
 
6.5%
s 5598
 
6.0%
c 4477
 
4.8%
l 4369
 
4.7%
Other values (16) 20726
22.2%
Decimal Number
ValueCountFrequency (%)
1 17523
32.8%
2 16528
31.0%
3 4976
 
9.3%
0 4248
 
8.0%
4 3092
 
5.8%
6 2127
 
4.0%
5 2065
 
3.9%
7 1103
 
2.1%
8 889
 
1.7%
9 833
 
1.6%
Other values (4) 6
 
< 0.1%
Letter Number
ValueCountFrequency (%)
5398
42.7%
5371
42.4%
947
 
7.5%
555
 
4.4%
161
 
1.3%
116
 
0.9%
50
 
0.4%
46
 
0.4%
3
 
< 0.1%
2
 
< 0.1%
Other values (4) 5
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
/ 979
31.8%
· 907
29.5%
. 657
21.3%
: 295
 
9.6%
* 126
 
4.1%
? 78
 
2.5%
18
 
0.6%
; 10
 
0.3%
5
 
0.2%
& 1
 
< 0.1%
Other values (2) 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 261483
> 99.9%
~ 47
 
< 0.1%
4
 
< 0.1%
2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 19995
90.1%
[ 2201
 
9.9%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 19786
90.1%
] 2162
 
9.9%
1
 
< 0.1%
Other Number
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Space Separator
ValueCountFrequency (%)
72751
> 99.9%
  17
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
® 4
57.1%
3
42.9%
Dash Punctuation
ValueCountFrequency (%)
- 2878
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 49
100.0%
Final Punctuation
ValueCountFrequency (%)
33
100.0%
Control
ValueCountFrequency (%)
12
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1757746
73.9%
Common 437905
 
18.4%
Latin 183608
 
7.7%
Han 351
 
< 0.1%
Cyrillic 4
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70800
 
4.0%
50251
 
2.9%
34495
 
2.0%
33065
 
1.9%
31774
 
1.8%
27157
 
1.5%
26147
 
1.5%
24751
 
1.4%
24076
 
1.4%
23590
 
1.3%
Other values (951) 1411640
80.3%
Han
ValueCountFrequency (%)
23
 
6.6%
22
 
6.3%
22
 
6.3%
15
 
4.3%
14
 
4.0%
14
 
4.0%
12
 
3.4%
11
 
3.1%
10
 
2.8%
10
 
2.8%
Other values (123) 198
56.4%
Latin
ValueCountFrequency (%)
I 17510
 
9.5%
e 9924
 
5.4%
n 9846
 
5.4%
i 9526
 
5.2%
a 8347
 
4.5%
o 7425
 
4.0%
t 7158
 
3.9%
C 7057
 
3.8%
A 6333
 
3.4%
r 6122
 
3.3%
Other values (58) 94360
51.4%
Common
ValueCountFrequency (%)
+ 261483
59.7%
72751
 
16.6%
( 19995
 
4.6%
) 19786
 
4.5%
1 17523
 
4.0%
2 16528
 
3.8%
3 4976
 
1.1%
0 4248
 
1.0%
4 3092
 
0.7%
- 2878
 
0.7%
Other values (40) 14645
 
3.3%
Cyrillic
ValueCountFrequency (%)
П 2
50.0%
О 2
50.0%
Greek
ValueCountFrequency (%)
Ι 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1757738
73.9%
ASCII 607842
 
25.5%
Number Forms 12654
 
0.5%
None 975
 
< 0.1%
CJK 340
 
< 0.1%
Punctuation 36
 
< 0.1%
CJK Compat Ideographs 11
 
< 0.1%
Compat Jamo 8
 
< 0.1%
Cyrillic 4
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 261483
43.0%
72751
 
12.0%
( 19995
 
3.3%
) 19786
 
3.3%
1 17523
 
2.9%
I 17510
 
2.9%
2 16528
 
2.7%
e 9924
 
1.6%
n 9846
 
1.6%
i 9526
 
1.6%
Other values (72) 152970
25.2%
Hangul
ValueCountFrequency (%)
70800
 
4.0%
50251
 
2.9%
34495
 
2.0%
33065
 
1.9%
31774
 
1.8%
27157
 
1.5%
26147
 
1.5%
24751
 
1.4%
24076
 
1.4%
23590
 
1.3%
Other values (944) 1411632
80.3%
Number Forms
ValueCountFrequency (%)
5398
42.7%
5371
42.4%
947
 
7.5%
555
 
4.4%
161
 
1.3%
116
 
0.9%
50
 
0.4%
46
 
0.4%
3
 
< 0.1%
2
 
< 0.1%
Other values (4) 5
 
< 0.1%
None
ValueCountFrequency (%)
· 907
93.0%
18
 
1.8%
  17
 
1.7%
9
 
0.9%
5
 
0.5%
® 4
 
0.4%
4
 
0.4%
2
 
0.2%
2
 
0.2%
Ι 1
 
0.1%
Other values (6) 6
 
0.6%
Punctuation
ValueCountFrequency (%)
33
91.7%
2
 
5.6%
1
 
2.8%
CJK
ValueCountFrequency (%)
23
 
6.8%
22
 
6.5%
22
 
6.5%
15
 
4.4%
14
 
4.1%
14
 
4.1%
12
 
3.5%
11
 
3.2%
10
 
2.9%
10
 
2.9%
Other values (113) 187
55.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
2
18.2%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
1
9.1%
Math Operators
ValueCountFrequency (%)
2
100.0%
Cyrillic
ValueCountFrequency (%)
П 2
50.0%
О 2
50.0%
Compat Jamo
ValueCountFrequency (%)
2
25.0%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Enclosed Alphanum
ValueCountFrequency (%)
1
50.0%
1
50.0%

입학정원수
Real number (ℝ)

SKEWED  ZEROS 

Distinct175
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.0186
Minimum0
Maximum2180
Zeros8162
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T22:40:30.875060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile60
Maximum2180
Range2180
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.599619
Coefficient of variation (CV)4.2520531
Kurtosis1077.9097
Mean10.0186
Median Absolute Deviation (MAD)0
Skewness26.069907
Sum100186
Variance1814.7275
MonotonicityNot monotonic
2024-01-14T22:40:31.006946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8162
81.6%
40 215
 
2.1%
30 207
 
2.1%
20 105
 
1.1%
60 93
 
0.9%
50 85
 
0.9%
25 75
 
0.8%
35 62
 
0.6%
70 56
 
0.6%
80 51
 
0.5%
Other values (165) 889
 
8.9%
ValueCountFrequency (%)
0 8162
81.6%
1 11
 
0.1%
2 4
 
< 0.1%
3 2
 
< 0.1%
5 6
 
0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 14
 
0.1%
11 4
 
< 0.1%
ValueCountFrequency (%)
2180 1
< 0.1%
1650 1
< 0.1%
1500 1
< 0.1%
882 1
< 0.1%
704 1
< 0.1%
697 1
< 0.1%
416 1
< 0.1%
394 1
< 0.1%
370 1
< 0.1%
355 1
< 0.1%

졸업자수
Real number (ℝ)

ZEROS 

Distinct192
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.8252
Minimum0
Maximum603
Zeros6365
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-14T22:40:31.177943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile57
Maximum603
Range603
Interquartile range (IQR)8

Descriptive statistics

Standard deviation27.034876
Coefficient of variation (CV)2.497402
Kurtosis59.479517
Mean10.8252
Median Absolute Deviation (MAD)0
Skewness5.7033727
Sum108252
Variance730.88453
MonotonicityNot monotonic
2024-01-14T22:40:31.338107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6365
63.6%
1 294
 
2.9%
2 207
 
2.1%
4 148
 
1.5%
3 132
 
1.3%
5 110
 
1.1%
7 94
 
0.9%
10 87
 
0.9%
6 84
 
0.8%
20 74
 
0.7%
Other values (182) 2405
 
24.1%
ValueCountFrequency (%)
0 6365
63.6%
1 294
 
2.9%
2 207
 
2.1%
3 132
 
1.3%
4 148
 
1.5%
5 110
 
1.1%
6 84
 
0.8%
7 94
 
0.9%
8 67
 
0.7%
9 64
 
0.6%
ValueCountFrequency (%)
603 1
< 0.1%
465 1
< 0.1%
358 1
< 0.1%
344 1
< 0.1%
343 1
< 0.1%
333 1
< 0.1%
328 1
< 0.1%
314 1
< 0.1%
297 1
< 0.1%
279 1
< 0.1%

관련직업명
Text

MISSING 

Distinct5792
Distinct (%)76.2%
Missing2402
Missing (%)24.0%
Memory size156.2 KiB
2024-01-14T22:40:31.589126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length500
Median length385
Mean length61.627007
Min length2

Characters and Unicode

Total characters468242
Distinct characters486
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

Unique4839 ?
Unique (%)63.7%

Sample

1st row공무원+금융관리자+부동산개발업자+부동산관리자+부동산중개인+부동산컨설턴트+부동산펀드매니저+설계 및 시공□감리+설계사
2nd row교수
3rd row출판물편집자
4th row연구원+의료장비기사+전자의료기기개발기술자
5th row방송작가+홍보전문가
ValueCountFrequency (%)
5056
 
22.5%
관련 447
 
2.0%
연구원 256
 
1.1%
국영 177
 
0.8%
장비설치 169
 
0.8%
설계 143
 
0.6%
공무원 138
 
0.6%
정부기관 124
 
0.6%
식품연구소 114
 
0.5%
산업체 114
 
0.5%
Other values (8709) 15707
70.0%
2024-01-14T22:40:32.427076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 52233
 
11.2%
20730
 
4.4%
17071
 
3.6%
15210
 
3.2%
14870
 
3.2%
14609
 
3.1%
8430
 
1.8%
8349
 
1.8%
8289
 
1.8%
7814
 
1.7%
Other values (476) 300637
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394541
84.3%
Math Symbol 52233
 
11.2%
Space Separator 14870
 
3.2%
Uppercase Letter 2292
 
0.5%
Close Punctuation 1644
 
0.4%
Open Punctuation 1644
 
0.4%
Other Punctuation 456
 
0.1%
Lowercase Letter 367
 
0.1%
Decimal Number 113
 
< 0.1%
Other Symbol 75
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20730
 
5.3%
17071
 
4.3%
15210
 
3.9%
14609
 
3.7%
8430
 
2.1%
8349
 
2.1%
8289
 
2.1%
7814
 
2.0%
7782
 
2.0%
7522
 
1.9%
Other values (423) 278735
70.6%
Uppercase Letter
ValueCountFrequency (%)
D 444
19.4%
M 223
9.7%
I 203
 
8.9%
C 177
 
7.7%
E 153
 
6.7%
F 138
 
6.0%
R 127
 
5.5%
P 109
 
4.8%
U 85
 
3.7%
V 83
 
3.6%
Other values (13) 550
24.0%
Lowercase Letter
ValueCountFrequency (%)
e 83
22.6%
r 42
11.4%
n 34
9.3%
i 32
 
8.7%
o 32
 
8.7%
a 27
 
7.4%
s 18
 
4.9%
l 14
 
3.8%
c 13
 
3.5%
t 12
 
3.3%
Other values (10) 60
16.3%
Other Punctuation
ValueCountFrequency (%)
· 444
97.4%
& 12
 
2.6%
Decimal Number
ValueCountFrequency (%)
3 89
78.8%
1 24
 
21.2%
Math Symbol
ValueCountFrequency (%)
+ 52233
100.0%
Space Separator
ValueCountFrequency (%)
14870
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1644
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1644
100.0%
Other Symbol
ValueCountFrequency (%)
75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394541
84.3%
Common 71042
 
15.2%
Latin 2659
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20730
 
5.3%
17071
 
4.3%
15210
 
3.9%
14609
 
3.7%
8430
 
2.1%
8349
 
2.1%
8289
 
2.1%
7814
 
2.0%
7782
 
2.0%
7522
 
1.9%
Other values (423) 278735
70.6%
Latin
ValueCountFrequency (%)
D 444
16.7%
M 223
 
8.4%
I 203
 
7.6%
C 177
 
6.7%
E 153
 
5.8%
F 138
 
5.2%
R 127
 
4.8%
P 109
 
4.1%
U 85
 
3.2%
e 83
 
3.1%
Other values (33) 917
34.5%
Common
ValueCountFrequency (%)
+ 52233
73.5%
14870
 
20.9%
) 1644
 
2.3%
( 1644
 
2.3%
· 444
 
0.6%
3 89
 
0.1%
75
 
0.1%
1 24
 
< 0.1%
& 12
 
< 0.1%
- 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394541
84.3%
ASCII 73182
 
15.6%
None 444
 
0.1%
Geometric Shapes 75
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 52233
71.4%
14870
 
20.3%
) 1644
 
2.2%
( 1644
 
2.2%
D 444
 
0.6%
M 223
 
0.3%
I 203
 
0.3%
C 177
 
0.2%
E 153
 
0.2%
F 138
 
0.2%
Other values (41) 1453
 
2.0%
Hangul
ValueCountFrequency (%)
20730
 
5.3%
17071
 
4.3%
15210
 
3.9%
14609
 
3.7%
8430
 
2.1%
8349
 
2.1%
8289
 
2.1%
7814
 
2.0%
7782
 
2.0%
7522
 
1.9%
Other values (423) 278735
70.6%
None
ValueCountFrequency (%)
· 444
100.0%
Geometric Shapes
ValueCountFrequency (%)
75
100.0%

수정일자
Categorical

IMBALANCE 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-02-22
9312 
2017-02-27
 
283
2023-09-22
 
97
2023-03-30
 
79
2023-04-04
 
76
Other values (26)
 
153

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row2023-02-22
2nd row2023-02-22
3rd row2017-02-27
4th row2023-04-04
5th row2023-02-22

Common Values

ValueCountFrequency (%)
2023-02-22 9312
93.1%
2017-02-27 283
 
2.8%
2023-09-22 97
 
1.0%
2023-03-30 79
 
0.8%
2023-04-04 76
 
0.8%
2014-03-28 38
 
0.4%
2023-03-23 24
 
0.2%
2014-10-15 18
 
0.2%
2021-04-01 11
 
0.1%
2015-03-30 7
 
0.1%
Other values (21) 55
 
0.5%

Length

2024-01-14T22:40:32.630934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-02-22 9312
93.1%
2017-02-27 283
 
2.8%
2023-09-22 97
 
1.0%
2023-03-30 79
 
0.8%
2023-04-04 76
 
0.8%
2014-03-28 38
 
0.4%
2023-03-23 24
 
0.2%
2014-10-15 18
 
0.2%
2021-04-01 11
 
0.1%
2015-03-30 7
 
0.1%
Other values (21) 55
 
0.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-27
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-27
2nd row2023-12-27
3rd row2023-12-27
4th row2023-12-27
5th row2023-12-27

Common Values

ValueCountFrequency (%)
2023-12-27 10000
100.0%

Length

2024-01-14T22:40:32.765840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:32.894470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-27 10000
100.0%

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
B340014
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB340014
2nd rowB340014
3rd rowB340014
4th rowB340014
5th rowB340014

Common Values

ValueCountFrequency (%)
B340014 10000
100.0%

Length

2024-01-14T22:40:33.041375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:33.189768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b340014 10000
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한국대학교육협의회
10000 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국대학교육협의회 10000
100.0%

Length

2024-01-14T22:40:33.317662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T22:40:33.419288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국대학교육협의회 10000
100.0%

Sample

연도시도코드시도명시군구코드시군구명학교명학교구분명수업연한학위과정명주야과정명학과상태명학과명학과코드명(7대계열)표준분류계열코드대학자체계열명단과대학명학교학과특성명주요교과목명입학정원수졸업자수관련직업명수정일자데이터기준일자제공기관코드제공기관명
575202341경기도250동두천시신한대학교 지식복지대학원특수대학원2년석사야간폐과도시기반부동산학과G04020200082D16076공학단과대구분없음일반과정감정평가론+개수로 수리학+공공시설특론+도시계획특론+도시공간구조론+도시기반세미나+도시설계 스튜디오+도시재생특론+부동산경영론+부동산금융론+부동산컨설팅론+상수도공학 특론+수리수치해석+수자원공학의 GIS 활용+연구방법론+응용수문학+입지론+자원순환론+토지정책론+하수도공학 특론00공무원+금융관리자+부동산개발업자+부동산관리자+부동산중개인+부동산컨설턴트+부동산펀드매니저+설계 및 시공□감리+설계사2023-02-222023-12-27B340014한국대학교육협의회
10699202328인천광역시177미추홀구인하대학교 대학원일반대학원4년석사+박사+석박사통주간기존영어영문학과G01010600006A01006인문사회단과대구분없음일반과정18-19세기 영국시+19세기 미국소설+19세기 미국시+19세기 영국소설+20세기 미국소설+20세기 미국시+20세기 영국소설+20세기 영국시+르네상스 영문학+미국문학 세미나 1+미국문학 세미나 2+미국문학 세미나 3+미국희곡+번역연구+셰익스피어+언어습득론+영국문학 세미나 1+영국문학 세미나 2+영국문학 세미나 3+영국문학 세미나 4+영국희곡+영미문학비평+영어교수법+영어교수법 세미나 1+영어교수법 세미나 2+영어교수법 연구+영어담화분석+영어문법론+영어문법론 세미나+영어문법론 연구+영어사+영어사회언어학+영어수리언어학+영어음성학+영어음성학 연구+영어음운론+영어음운론 세미나 1+영어음운론 세미나 2+영어음운론 연구+영어응용언어학+영어의미론+영어의미론 세미나 1+영어의미론 세미나 2+영어의미론 연구+영어조어론+영어통사론+영어통사론 세미나 1+영어통사론 세미나 2+영어통사론 연구+영어학 특강 1+영어학 특강 2+영어학개론+영어학사+영어화용론+영어화용론 세미나 1+영어화용론 세미나 2+영어화용론00교수2023-02-222023-12-27B340014한국대학교육협의회
10730202328인천광역시177미추홀구인하대학교 공학대학원특수대학원4년학사야간기존기타(소속학과없음)Z99999999999A99999인문사회단과대구분없음일반과정<NA>00<NA>2017-02-272023-12-27B340014한국대학교육협의회
13686202341경기도280고양시중부대학교 휴먼텍대학원특수대학원2년석사야간기존인쇄미디어·전자출판학과G04110200150D99999공학단과대구분없음일반과정제지공학특론+고분자화학특론+유기화학특론+잉크화학특론+러시안논문특론+산업효소학특론+인쇄공학특론+인쇄세미나+제지세미나특론+펄프학특론+인쇄기계학특론+인쇄물가공학특론+잉크공학특론+러시아인쇄산업+목재해부학특론+종이물성학특론+색채공학특론+전자출판학특론00출판물편집자2023-04-042023-12-27B340014한국대학교육협의회
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