Overview

Dataset statistics

Number of variables58
Number of observations5040
Missing cells162208
Missing cells (%)55.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory508.0 B

Variable types

Categorical10
Text9
Numeric38
Unsupported1

Dataset

Description2020학년도 전문대학 신입생 모집결과(대학명,학과명,전형명,모집인원,지원인원,등록인원)
Author한국전문대학교육협의회
URLhttps://www.data.go.kr/data/15068974/fileData.do

Alerts

설립 is highly imbalanced (83.7%)Imbalance
경력자 및 특기자 모집인원 is highly imbalanced (98.5%)Imbalance
경력자 및 특기자 등록인원 is highly imbalanced (99.0%)Imbalance
추천자 및 사회지역 우선 모집인원 is highly imbalanced (98.0%)Imbalance
추천자 및 사회지역 우선 등록인원 is highly imbalanced (98.5%)Imbalance
학생부 종합전형 지원인원 is highly imbalanced (97.7%)Imbalance
모집시기 has 5040 (100.0%) missing valuesMissing
일반전형 모집인원 has 2555 (50.7%) missing valuesMissing
일반전형 지원인원 has 2539 (50.4%) missing valuesMissing
일반전형 등록인원 has 2621 (52.0%) missing valuesMissing
대학자체기준 모집인원 has 3851 (76.4%) missing valuesMissing
대학자체기준 지원인원 has 3822 (75.8%) missing valuesMissing
대학자체기준 등록인원 has 3975 (78.9%) missing valuesMissing
고교유형별대상자 모집인원 has 4964 (98.5%) missing valuesMissing
고교유형별대상자 지원인원 has 4964 (98.5%) missing valuesMissing
고교유형별대상자 등록인원 has 4965 (98.5%) missing valuesMissing
경력자 및 특기자 지원인원 has 5025 (99.7%) missing valuesMissing
추천자 및 사회지역 우선 지원인원 has 5026 (99.7%) missing valuesMissing
일반고등 졸업자 모집인원 has 3721 (73.8%) missing valuesMissing
일반고등 졸업자 지원인원 has 3731 (74.0%) missing valuesMissing
일반고등 졸업자 등록인원 has 3748 (74.4%) missing valuesMissing
특성화고등 졸업자 모집인원 has 3692 (73.3%) missing valuesMissing
특성화고등 졸업자 지원인원 has 3703 (73.5%) missing valuesMissing
특성화고등 졸업자 등록인원 has 3718 (73.8%) missing valuesMissing
동일계열 및연계 교육 대상자 모집인원 has 4998 (99.2%) missing valuesMissing
동일계열 및연계 교육 대상자 지원인원 has 4996 (99.1%) missing valuesMissing
동일계열 및연계 교육 대상자 등록인원 has 4999 (99.2%) missing valuesMissing
추천자 모집인원 has 4970 (98.6%) missing valuesMissing
추천자 지원인원 has 4968 (98.6%) missing valuesMissing
추천자 등록인원 has 4972 (98.7%) missing valuesMissing
특기자 모집인원 has 4915 (97.5%) missing valuesMissing
특기자 지원인원 has 4899 (97.2%) missing valuesMissing
특기자 등록인원 has 4918 (97.6%) missing valuesMissing
관련 경력자 모집인원 has 5027 (99.7%) missing valuesMissing
관련 경력자 지원인원 has 5024 (99.7%) missing valuesMissing
관련 경력자 등록인원 has 5027 (99.7%) missing valuesMissing
사회지역배려대상자 모집인원 has 4934 (97.9%) missing valuesMissing
사회지역배려대상자 지원인원 has 4910 (97.4%) missing valuesMissing
사회지역배려대상자 등록인원 has 4942 (98.1%) missing valuesMissing
모집인원(A) has 2362 (46.9%) missing valuesMissing
지원인원 has 2385 (47.3%) missing valuesMissing
등록인원(B) has 2406 (47.7%) missing valuesMissing
지원율 has 2278 (45.2%) missing valuesMissing
등록율 has 2299 (45.6%) missing valuesMissing
미충원(A-B) has 4279 (84.9%) missing valuesMissing
학생부 종합전형 모집인원 is highly skewed (γ1 = 23.97367486)Skewed
학생부 종합전형 등록인원 is highly skewed (γ1 = 24.32036713)Skewed
모집시기 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입학정원 has 2340 (46.4%) zerosZeros
학생부 종합전형 모집인원 has 4992 (99.0%) zerosZeros
학생부 종합전형 등록인원 has 4995 (99.1%) zerosZeros
비교과 입학전형 모집인원 has 4850 (96.2%) zerosZeros
비교과 입학전형 지원인원 has 4838 (96.0%) zerosZeros
비교과 입학전형 등록인원 has 4862 (96.5%) zerosZeros
지원율 has 108 (2.1%) zerosZeros
등록율 has 107 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-12 01:08:53.297646
Analysis finished2023-12-12 01:08:54.928878
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct18
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
경기
1440 
경북
422 
부산
374 
서울
360 
전남
298 
Other values (13)
2146 

Length

Max length4
Median length2
Mean length2.015873
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 1440
28.6%
경북 422
 
8.4%
부산 374
 
7.4%
서울 360
 
7.1%
전남 298
 
5.9%
대구 294
 
5.8%
대전 246
 
4.9%
경남 242
 
4.8%
충북 240
 
4.8%
전북 200
 
4.0%
Other values (8) 924
18.3%

Length

2023-12-12T10:08:55.054542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 1440
28.6%
경북 422
 
8.4%
부산 374
 
7.4%
서울 360
 
7.1%
전남 298
 
5.9%
대구 294
 
5.8%
대전 246
 
4.9%
경남 242
 
4.8%
충북 240
 
4.8%
전북 200
 
4.0%
Other values (8) 924
18.3%

설립
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
사립
4804 
공립
 
170
<NA>
 
40
국립
 
26

Length

Max length4
Median length2
Mean length2.015873
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 4804
95.3%
공립 170
 
3.4%
<NA> 40
 
0.8%
국립 26
 
0.5%

Length

2023-12-12T10:08:55.298995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:55.477778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 4804
95.3%
공립 170
 
3.4%
na 40
 
0.8%
국립 26
 
0.5%
Distinct135
Distinct (%)2.7%
Missing40
Missing (%)0.8%
Memory size39.5 KiB
2023-12-12T10:08:55.789864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length6.2808
Min length4

Characters and Unicode

Total characters31404
Distinct characters121
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 row강원도립대학교
2nd row강원도립대학교
3rd row강원도립대학교
4th row강원도립대학교
5th row강원도립대학교
ValueCountFrequency (%)
명지전문대학 72
 
1.4%
두원공과대학교 70
 
1.4%
대덕대학교 70
 
1.4%
경남정보대학교 70
 
1.4%
신구대학교 70
 
1.4%
동의과학대학교 68
 
1.4%
충청대학교 66
 
1.3%
연성대학교 64
 
1.3%
유한대학교 64
 
1.3%
대전과학기술대학교 64
 
1.3%
Other values (125) 4322
86.4%
2023-12-12T10:08:56.278300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5630
17.9%
5454
17.4%
4692
 
14.9%
710
 
2.3%
636
 
2.0%
574
 
1.8%
522
 
1.7%
486
 
1.5%
476
 
1.5%
468
 
1.5%
Other values (111) 11756
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31404
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5630
17.9%
5454
17.4%
4692
 
14.9%
710
 
2.3%
636
 
2.0%
574
 
1.8%
522
 
1.7%
486
 
1.5%
476
 
1.5%
468
 
1.5%
Other values (111) 11756
37.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31404
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5630
17.9%
5454
17.4%
4692
 
14.9%
710
 
2.3%
636
 
2.0%
574
 
1.8%
522
 
1.7%
486
 
1.5%
476
 
1.5%
468
 
1.5%
Other values (111) 11756
37.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31404
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5630
17.9%
5454
17.4%
4692
 
14.9%
710
 
2.3%
636
 
2.0%
574
 
1.8%
522
 
1.7%
486
 
1.5%
476
 
1.5%
468
 
1.5%
Other values (111) 11756
37.4%

계열
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
인문사회계열
1500 
자연과학계열
1398 
공학계열
1360 
예체능계열
782 

Length

Max length6
Median length6
Mean length5.3051587
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인문사회계열 1500
29.8%
자연과학계열 1398
27.7%
공학계열 1360
27.0%
예체능계열 782
15.5%

Length

2023-12-12T10:08:56.442549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:56.600902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인문사회계열 1500
29.8%
자연과학계열 1398
27.7%
공학계열 1360
27.0%
예체능계열 782
15.5%
Distinct55
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
2023-12-12T10:08:56.856241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.9531746
Min length2

Characters and Unicode

Total characters19924
Distinct characters83
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row경영,경제
2nd row경영,경제
3rd row사회과학
4th row사회과학
5th row사회과학
ValueCountFrequency (%)
사회과학 676
13.4%
간호보건 586
 
11.6%
경영,경제 432
 
8.6%
보건 352
 
7.0%
기계 294
 
5.8%
전기,전자,컴퓨터 274
 
5.4%
교육 262
 
5.2%
컴퓨터,통신 232
 
4.6%
응용예술 204
 
4.0%
외식,영양 188
 
3.7%
Other values (45) 1540
30.6%
2023-12-12T10:08:57.414352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1894
 
9.5%
1190
 
6.0%
938
 
4.7%
916
 
4.6%
898
 
4.5%
864
 
4.3%
856
 
4.3%
702
 
3.5%
702
 
3.5%
682
 
3.4%
Other values (73) 10282
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17960
90.1%
Other Punctuation 1922
 
9.6%
Uppercase Letter 42
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1190
 
6.6%
938
 
5.2%
916
 
5.1%
898
 
5.0%
864
 
4.8%
856
 
4.8%
702
 
3.9%
702
 
3.9%
682
 
3.8%
676
 
3.8%
Other values (68) 9536
53.1%
Uppercase Letter
ValueCountFrequency (%)
N 14
33.3%
C 14
33.3%
E 14
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1894
98.5%
. 28
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17960
90.1%
Common 1922
 
9.6%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1190
 
6.6%
938
 
5.2%
916
 
5.1%
898
 
5.0%
864
 
4.8%
856
 
4.8%
702
 
3.9%
702
 
3.9%
682
 
3.8%
676
 
3.8%
Other values (68) 9536
53.1%
Latin
ValueCountFrequency (%)
N 14
33.3%
C 14
33.3%
E 14
33.3%
Common
ValueCountFrequency (%)
, 1894
98.5%
. 28
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17960
90.1%
ASCII 1964
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1894
96.4%
. 28
 
1.4%
N 14
 
0.7%
C 14
 
0.7%
E 14
 
0.7%
Hangul
ValueCountFrequency (%)
1190
 
6.6%
938
 
5.2%
916
 
5.1%
898
 
5.0%
864
 
4.8%
856
 
4.8%
702
 
3.9%
702
 
3.9%
682
 
3.8%
676
 
3.8%
Other values (68) 9536
53.1%
Distinct1229
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
2023-12-12T10:08:57.799132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20.5
Mean length6.2488095
Min length3

Characters and Unicode

Total characters31494
Distinct characters347
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
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 row크루즈승무원과
2nd row크루즈승무원과
3rd row항공관광과
4th row항공관광과
5th row공공인재융합과(경찰행정전공, 사회복지전공)
ValueCountFrequency (%)
유아교육과 166
 
3.2%
간호학과 162
 
3.1%
사회복지과 146
 
2.8%
치위생과 106
 
2.1%
물리치료과 74
 
1.4%
안경광학과 62
 
1.2%
작업치료과 58
 
1.1%
임상병리과 54
 
1.0%
보건의료행정과 52
 
1.0%
보건행정과 50
 
1.0%
Other values (1223) 4226
82.0%
2023-12-12T10:08:58.473649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4554
 
14.5%
988
 
3.1%
774
 
2.5%
656
 
2.1%
568
 
1.8%
564
 
1.8%
530
 
1.7%
522
 
1.7%
516
 
1.6%
504
 
1.6%
Other values (337) 21318
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30762
97.7%
Uppercase Letter 224
 
0.7%
Space Separator 116
 
0.4%
Close Punctuation 106
 
0.3%
Open Punctuation 106
 
0.3%
Other Punctuation 80
 
0.3%
Lowercase Letter 42
 
0.1%
Dash Punctuation 30
 
0.1%
Decimal Number 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4554
 
14.8%
988
 
3.2%
774
 
2.5%
656
 
2.1%
568
 
1.8%
564
 
1.8%
530
 
1.7%
522
 
1.7%
516
 
1.7%
504
 
1.6%
Other values (300) 20586
66.9%
Uppercase Letter
ValueCountFrequency (%)
I 58
25.9%
T 56
25.0%
K 18
 
8.0%
C 16
 
7.1%
P 16
 
7.1%
D 14
 
6.2%
V 10
 
4.5%
R 8
 
3.6%
O 8
 
3.6%
S 6
 
2.7%
Other values (6) 14
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 16
38.1%
l 8
19.0%
i 4
 
9.5%
r 2
 
4.8%
c 2
 
4.8%
a 2
 
4.8%
u 2
 
4.8%
n 2
 
4.8%
v 2
 
4.8%
o 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
· 50
62.5%
& 22
27.5%
2
 
2.5%
, 2
 
2.5%
. 2
 
2.5%
; 2
 
2.5%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Decimal Number
ValueCountFrequency (%)
3 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30762
97.7%
Common 466
 
1.5%
Latin 266
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4554
 
14.8%
988
 
3.2%
774
 
2.5%
656
 
2.1%
568
 
1.8%
564
 
1.8%
530
 
1.7%
522
 
1.7%
516
 
1.7%
504
 
1.6%
Other values (300) 20586
66.9%
Latin
ValueCountFrequency (%)
I 58
21.8%
T 56
21.1%
K 18
 
6.8%
C 16
 
6.0%
e 16
 
6.0%
P 16
 
6.0%
D 14
 
5.3%
V 10
 
3.8%
R 8
 
3.0%
l 8
 
3.0%
Other values (16) 46
17.3%
Common
ValueCountFrequency (%)
116
24.9%
) 106
22.7%
( 106
22.7%
· 50
10.7%
- 30
 
6.4%
3 28
 
6.0%
& 22
 
4.7%
2
 
0.4%
, 2
 
0.4%
. 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30756
97.7%
ASCII 680
 
2.2%
None 52
 
0.2%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4554
 
14.8%
988
 
3.2%
774
 
2.5%
656
 
2.1%
568
 
1.8%
564
 
1.8%
530
 
1.7%
522
 
1.7%
516
 
1.7%
504
 
1.6%
Other values (299) 20580
66.9%
ASCII
ValueCountFrequency (%)
116
17.1%
) 106
15.6%
( 106
15.6%
I 58
8.5%
T 56
8.2%
- 30
 
4.4%
3 28
 
4.1%
& 22
 
3.2%
K 18
 
2.6%
C 16
 
2.4%
Other values (25) 124
18.2%
None
ValueCountFrequency (%)
· 50
96.2%
2
 
3.8%
Compat Jamo
ValueCountFrequency (%)
6
100.0%

학제
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
2
3270 
3
1578 
4
 
192

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 3270
64.9%
3 1578
31.3%
4 192
 
3.8%

Length

2023-12-12T10:08:58.733212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:58.888870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3270
64.9%
3 1578
31.3%
4 192
 
3.8%

주야
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
주간
2520 
야간
2520 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주간 2520
50.0%
야간 2520
50.0%

Length

2023-12-12T10:08:59.066230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:08:59.216188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간 2520
50.0%
야간 2520
50.0%

입학정원
Real number (ℝ)

ZEROS 

Distinct166
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum0
Maximum599
Zeros2340
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:08:59.377795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q355
95-th percentile110
Maximum599
Range599
Interquartile range (IQR)55

Descriptive statistics

Standard deviation42.967231
Coefficient of variation (CV)1.3220687
Kurtosis14.057523
Mean32.5
Median Absolute Deviation (MAD)20
Skewness2.4677937
Sum163800
Variance1846.183
MonotonicityNot monotonic
2023-12-12T10:08:59.591924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2340
46.4%
40 424
 
8.4%
30 272
 
5.4%
60 217
 
4.3%
80 181
 
3.6%
70 166
 
3.3%
35 113
 
2.2%
50 91
 
1.8%
20 86
 
1.7%
120 80
 
1.6%
Other values (156) 1070
21.2%
ValueCountFrequency (%)
0 2340
46.4%
1 2
 
< 0.1%
3 4
 
0.1%
4 1
 
< 0.1%
5 4
 
0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
10 30
 
0.6%
12 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
599 1
< 0.1%
494 1
< 0.1%
420 1
< 0.1%
364 1
< 0.1%
311 1
< 0.1%
303 1
< 0.1%
297 1
< 0.1%
292 1
< 0.1%
288 1
< 0.1%
275 1
< 0.1%

모집시기
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5040
Missing (%)100.0%
Memory size44.4 KiB

일반전형 모집인원
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)5.6%
Missing2555
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean29.809256
Minimum1
Maximum574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:08:59.827830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median22
Q340
95-th percentile80
Maximum574
Range573
Interquartile range (IQR)32

Descriptive statistics

Standard deviation32.483797
Coefficient of variation (CV)1.0897219
Kurtosis47.663588
Mean29.809256
Median Absolute Deviation (MAD)15
Skewness4.538799
Sum74076
Variance1055.1971
MonotonicityNot monotonic
2023-12-12T10:09:00.048968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 103
 
2.0%
2 102
 
2.0%
40 97
 
1.9%
4 75
 
1.5%
3 75
 
1.5%
7 73
 
1.4%
30 72
 
1.4%
5 69
 
1.4%
8 68
 
1.3%
6 66
 
1.3%
Other values (129) 1685
33.4%
(Missing) 2555
50.7%
ValueCountFrequency (%)
1 103
2.0%
2 102
2.0%
3 75
1.5%
4 75
1.5%
5 69
1.4%
6 66
1.3%
7 73
1.4%
8 68
1.3%
9 50
1.0%
10 60
1.2%
ValueCountFrequency (%)
574 1
< 0.1%
428 1
< 0.1%
309 1
< 0.1%
230 1
< 0.1%
225 1
< 0.1%
224 1
< 0.1%
213 1
< 0.1%
210 1
< 0.1%
207 1
< 0.1%
204 1
< 0.1%
Distinct693
Distinct (%)27.7%
Missing2539
Missing (%)50.4%
Memory size39.5 KiB
2023-12-12T10:09:00.546418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.5681727
Min length1

Characters and Unicode

Total characters6423
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)11.8%

Sample

1st row18
2nd row21
3rd row17
4th row2
5th row21
ValueCountFrequency (%)
10 35
 
1.4%
4 25
 
1.0%
18 22
 
0.9%
12 22
 
0.9%
9 21
 
0.8%
6 21
 
0.8%
8 20
 
0.8%
27 20
 
0.8%
5 19
 
0.8%
14 19
 
0.8%
Other values (683) 2277
91.0%
2023-12-12T10:09:01.309598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1233
19.2%
2 867
13.5%
3 693
10.8%
4 629
9.8%
5 580
9.0%
8 493
 
7.7%
7 492
 
7.7%
6 486
 
7.6%
0 444
 
6.9%
9 427
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6344
98.8%
Other Punctuation 79
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1233
19.4%
2 867
13.7%
3 693
10.9%
4 629
9.9%
5 580
9.1%
8 493
 
7.8%
7 492
 
7.8%
6 486
 
7.7%
0 444
 
7.0%
9 427
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1233
19.2%
2 867
13.5%
3 693
10.8%
4 629
9.8%
5 580
9.0%
8 493
 
7.7%
7 492
 
7.7%
6 486
 
7.6%
0 444
 
6.9%
9 427
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1233
19.2%
2 867
13.5%
3 693
10.8%
4 629
9.8%
5 580
9.0%
8 493
 
7.7%
7 492
 
7.7%
6 486
 
7.6%
0 444
 
6.9%
9 427
 
6.6%

일반전형 등록인원
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)5.7%
Missing2621
Missing (%)52.0%
Infinite0
Infinite (%)0.0%
Mean28.374948
Minimum1
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:01.518931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median20
Q338
95-th percentile80
Maximum330
Range329
Interquartile range (IQR)30

Descriptive statistics

Standard deviation30.19655
Coefficient of variation (CV)1.0641975
Kurtosis16.198445
Mean28.374948
Median Absolute Deviation (MAD)14
Skewness3.0622786
Sum68639
Variance911.83165
MonotonicityNot monotonic
2023-12-12T10:09:01.715911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 99
 
2.0%
1 87
 
1.7%
4 84
 
1.7%
7 83
 
1.6%
40 79
 
1.6%
3 79
 
1.6%
5 77
 
1.5%
30 73
 
1.4%
6 67
 
1.3%
9 66
 
1.3%
Other values (127) 1625
32.2%
(Missing) 2621
52.0%
ValueCountFrequency (%)
1 87
1.7%
2 99
2.0%
3 79
1.6%
4 84
1.7%
5 77
1.5%
6 67
1.3%
7 83
1.6%
8 65
1.3%
9 66
1.3%
10 55
1.1%
ValueCountFrequency (%)
330 1
< 0.1%
309 1
< 0.1%
243 1
< 0.1%
230 1
< 0.1%
227 1
< 0.1%
225 1
< 0.1%
224 1
< 0.1%
213 1
< 0.1%
210 1
< 0.1%
207 1
< 0.1%

대학자체기준 모집인원
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)6.0%
Missing3851
Missing (%)76.4%
Infinite0
Infinite (%)0.0%
Mean11.586207
Minimum1
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:01.912730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q315
95-th percentile40
Maximum210
Range209
Interquartile range (IQR)12

Descriptive statistics

Standard deviation14.715152
Coefficient of variation (CV)1.2700578
Kurtosis35.370237
Mean11.586207
Median Absolute Deviation (MAD)5
Skewness4.270848
Sum13776
Variance216.5357
MonotonicityNot monotonic
2023-12-12T10:09:02.096675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 147
 
2.9%
3 105
 
2.1%
1 105
 
2.1%
4 89
 
1.8%
5 70
 
1.4%
7 68
 
1.3%
6 59
 
1.2%
8 48
 
1.0%
9 41
 
0.8%
10 41
 
0.8%
Other values (61) 416
 
8.3%
(Missing) 3851
76.4%
ValueCountFrequency (%)
1 105
2.1%
2 147
2.9%
3 105
2.1%
4 89
1.8%
5 70
1.4%
6 59
1.2%
7 68
1.3%
8 48
 
1.0%
9 41
 
0.8%
10 41
 
0.8%
ValueCountFrequency (%)
210 1
< 0.1%
109 1
< 0.1%
108 1
< 0.1%
104 1
< 0.1%
103 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%
75 1
< 0.1%
70 2
< 0.1%
Distinct206
Distinct (%)16.9%
Missing3822
Missing (%)75.8%
Memory size39.5 KiB
2023-12-12T10:09:02.492525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length1.862069
Min length1

Characters and Unicode

Total characters2268
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)6.7%

Sample

1st row4
2nd row3
3rd row2
4th row11
5th row8
ValueCountFrequency (%)
1 76
 
6.2%
2 47
 
3.9%
3 42
 
3.4%
4 39
 
3.2%
8 33
 
2.7%
7 29
 
2.4%
11 27
 
2.2%
5 26
 
2.1%
9 22
 
1.8%
6 22
 
1.8%
Other values (196) 855
70.2%
2023-12-12T10:09:03.409323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 523
23.1%
2 302
13.3%
3 268
11.8%
4 231
10.2%
5 181
 
8.0%
6 175
 
7.7%
7 174
 
7.7%
8 149
 
6.6%
9 138
 
6.1%
0 124
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2265
99.9%
Other Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 523
23.1%
2 302
13.3%
3 268
11.8%
4 231
10.2%
5 181
 
8.0%
6 175
 
7.7%
7 174
 
7.7%
8 149
 
6.6%
9 138
 
6.1%
0 124
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 523
23.1%
2 302
13.3%
3 268
11.8%
4 231
10.2%
5 181
 
8.0%
6 175
 
7.7%
7 174
 
7.7%
8 149
 
6.6%
9 138
 
6.1%
0 124
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 523
23.1%
2 302
13.3%
3 268
11.8%
4 231
10.2%
5 181
 
8.0%
6 175
 
7.7%
7 174
 
7.7%
8 149
 
6.6%
9 138
 
6.1%
0 124
 
5.5%

대학자체기준 등록인원
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)6.0%
Missing3975
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean10.548357
Minimum1
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:03.576323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q313
95-th percentile38
Maximum210
Range209
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.402112
Coefficient of variation (CV)1.3653417
Kurtosis42.472867
Mean10.548357
Median Absolute Deviation (MAD)4
Skewness4.7480442
Sum11234
Variance207.42083
MonotonicityNot monotonic
2023-12-12T10:09:03.785544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 149
 
3.0%
2 126
 
2.5%
3 93
 
1.8%
4 77
 
1.5%
5 64
 
1.3%
6 64
 
1.3%
7 45
 
0.9%
8 40
 
0.8%
9 38
 
0.8%
15 32
 
0.6%
Other values (54) 337
 
6.7%
(Missing) 3975
78.9%
ValueCountFrequency (%)
1 149
3.0%
2 126
2.5%
3 93
1.8%
4 77
1.5%
5 64
1.3%
6 64
1.3%
7 45
 
0.9%
8 40
 
0.8%
9 38
 
0.8%
10 29
 
0.6%
ValueCountFrequency (%)
210 1
< 0.1%
109 1
< 0.1%
104 1
< 0.1%
103 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%
77 1
< 0.1%
70 2
< 0.1%
66 1
< 0.1%

고교유형별대상자 모집인원
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)51.3%
Missing4964
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean32.263158
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:03.974145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q17.75
median28
Q354
95-th percentile79.5
Maximum123
Range122
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation26.758858
Coefficient of variation (CV)0.82939365
Kurtosis0.43705472
Mean32.263158
Median Absolute Deviation (MAD)24
Skewness0.83387612
Sum2452
Variance716.03649
MonotonicityNot monotonic
2023-12-12T10:09:04.291543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3 6
 
0.1%
28 5
 
0.1%
2 5
 
0.1%
58 4
 
0.1%
1 4
 
0.1%
35 3
 
0.1%
30 3
 
0.1%
9 3
 
0.1%
18 2
 
< 0.1%
55 2
 
< 0.1%
Other values (29) 39
 
0.8%
(Missing) 4964
98.5%
ValueCountFrequency (%)
1 4
0.1%
2 5
0.1%
3 6
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
0.1%
15 1
 
< 0.1%
17 2
 
< 0.1%
ValueCountFrequency (%)
123 1
< 0.1%
86 1
< 0.1%
85 1
< 0.1%
84 1
< 0.1%
78 1
< 0.1%
76 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%
66 1
< 0.1%
65 2
< 0.1%
Distinct63
Distinct (%)82.9%
Missing4964
Missing (%)98.5%
Memory size39.5 KiB
2023-12-12T10:09:04.586930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.3815789
Min length1

Characters and Unicode

Total characters181
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)73.7%

Sample

1st row283
2nd row23
3rd row61
4th row70
5th row39
ValueCountFrequency (%)
4 6
 
7.9%
9 3
 
3.9%
7 3
 
3.9%
10 2
 
2.6%
2 2
 
2.6%
6 2
 
2.6%
263 2
 
2.6%
332 1
 
1.3%
188 1
 
1.3%
523 1
 
1.3%
Other values (53) 53
69.7%
2023-12-12T10:09:05.106059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28
15.5%
1 27
14.9%
3 25
13.8%
4 20
11.0%
7 19
10.5%
6 16
8.8%
9 12
6.6%
0 11
 
6.1%
5 11
 
6.1%
8 10
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 179
98.9%
Other Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 28
15.6%
1 27
15.1%
3 25
14.0%
4 20
11.2%
7 19
10.6%
6 16
8.9%
9 12
6.7%
0 11
 
6.1%
5 11
 
6.1%
8 10
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 28
15.5%
1 27
14.9%
3 25
13.8%
4 20
11.0%
7 19
10.5%
6 16
8.8%
9 12
6.6%
0 11
 
6.1%
5 11
 
6.1%
8 10
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28
15.5%
1 27
14.9%
3 25
13.8%
4 20
11.0%
7 19
10.5%
6 16
8.8%
9 12
6.6%
0 11
 
6.1%
5 11
 
6.1%
8 10
 
5.5%

고교유형별대상자 등록인원
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)56.0%
Missing4965
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean28.373333
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:05.338006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.5
median25
Q339.5
95-th percentile72.1
Maximum85
Range84
Interquartile range (IQR)32

Descriptive statistics

Standard deviation23.812768
Coefficient of variation (CV)0.8392658
Kurtosis-0.51139508
Mean28.373333
Median Absolute Deviation (MAD)17
Skewness0.70462779
Sum2128
Variance567.04793
MonotonicityNot monotonic
2023-12-12T10:09:05.538058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3 6
 
0.1%
2 5
 
0.1%
9 4
 
0.1%
30 3
 
0.1%
35 3
 
0.1%
1 3
 
0.1%
4 3
 
0.1%
55 3
 
0.1%
36 3
 
0.1%
21 2
 
< 0.1%
Other values (32) 40
 
0.8%
(Missing) 4965
98.5%
ValueCountFrequency (%)
1 3
0.1%
2 5
0.1%
3 6
0.1%
4 3
0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 4
0.1%
10 1
 
< 0.1%
14 2
 
< 0.1%
ValueCountFrequency (%)
85 1
< 0.1%
84 1
< 0.1%
78 1
< 0.1%
77 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%
66 1
< 0.1%
65 2
< 0.1%
62 2
< 0.1%
58 1
< 0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
<NA>
5025 
1
 
8
2
 
5
13
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.9912698
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5025
99.7%
1 8
 
0.2%
2 5
 
0.1%
13 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-12T10:09:05.727365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:05.872570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5025
99.7%
1 8
 
0.2%
2 5
 
0.1%
13 1
 
< 0.1%
3 1
 
< 0.1%

경력자 및 특기자 지원인원
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)60.0%
Missing5025
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean18.066667
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:05.997543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median14
Q316
95-th percentile58
Maximum121
Range120
Interquartile range (IQR)14

Descriptive statistics

Standard deviation29.771671
Coefficient of variation (CV)1.6478785
Kurtosis11.997473
Mean18.066667
Median Absolute Deviation (MAD)10
Skewness3.3309455
Sum271
Variance886.35238
MonotonicityNot monotonic
2023-12-12T10:09:06.142751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 4
 
0.1%
16 3
 
0.1%
14 2
 
< 0.1%
3 1
 
< 0.1%
17 1
 
< 0.1%
121 1
 
< 0.1%
31 1
 
< 0.1%
15 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 5025
99.7%
ValueCountFrequency (%)
1 4
0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
14 2
< 0.1%
15 1
 
< 0.1%
16 3
0.1%
17 1
 
< 0.1%
31 1
 
< 0.1%
121 1
 
< 0.1%
ValueCountFrequency (%)
121 1
 
< 0.1%
31 1
 
< 0.1%
17 1
 
< 0.1%
16 3
0.1%
15 1
 
< 0.1%
14 2
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%
1 4
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
<NA>
5030 
2
 
5
1
 
3
13
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.994246
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5030
99.8%
2 5
 
0.1%
1 3
 
0.1%
13 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-12T10:09:06.351247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:06.467839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5030
99.8%
2 5
 
0.1%
1 3
 
0.1%
13 1
 
< 0.1%
3 1
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
<NA>
5021 
1
 
14
2
 
4
25
 
1

Length

Max length4
Median length4
Mean length3.9888889
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5021
99.6%
1 14
 
0.3%
2 4
 
0.1%
25 1
 
< 0.1%

Length

2023-12-12T10:09:06.635325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:06.828367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5021
99.6%
1 14
 
0.3%
2 4
 
0.1%
25 1
 
< 0.1%
Distinct9
Distinct (%)64.3%
Missing5026
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean20.214286
Minimum1
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:07.002354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q12.25
median7
Q38.75
95-th percentile80.9
Maximum207
Range206
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation53.871897
Coefficient of variation (CV)2.6650409
Kurtosis13.855805
Mean20.214286
Median Absolute Deviation (MAD)3
Skewness3.7147463
Sum283
Variance2902.1813
MonotonicityNot monotonic
2023-12-12T10:09:07.138575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 3
 
0.1%
7 3
 
0.1%
9 2
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
13 1
 
< 0.1%
3 1
 
< 0.1%
207 1
 
< 0.1%
(Missing) 5026
99.7%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
0.1%
3 1
 
< 0.1%
6 1
 
< 0.1%
7 3
0.1%
8 1
 
< 0.1%
9 2
< 0.1%
13 1
 
< 0.1%
207 1
 
< 0.1%
ValueCountFrequency (%)
207 1
 
< 0.1%
13 1
 
< 0.1%
9 2
< 0.1%
8 1
 
< 0.1%
7 3
0.1%
6 1
 
< 0.1%
3 1
 
< 0.1%
2 3
0.1%
1 1
 
< 0.1%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
<NA>
5027 
1
 
8
2
 
4
25
 
1

Length

Max length4
Median length4
Mean length3.9924603
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5027
99.7%
1 8
 
0.2%
2 4
 
0.1%
25 1
 
< 0.1%

Length

2023-12-12T10:09:07.307337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:09:07.464211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5027
99.7%
1 8
 
0.2%
2 4
 
0.1%
25 1
 
< 0.1%

일반고등 졸업자 모집인원
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)10.0%
Missing3721
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean36.793025
Minimum1
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:07.657607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q116
median30
Q350
95-th percentile88
Maximum245
Range244
Interquartile range (IQR)34

Descriptive statistics

Standard deviation28.808963
Coefficient of variation (CV)0.78300067
Kurtosis5.9987247
Mean36.793025
Median Absolute Deviation (MAD)17
Skewness1.8263475
Sum48530
Variance829.95637
MonotonicityNot monotonic
2023-12-12T10:09:07.857602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 33
 
0.7%
8 31
 
0.6%
24 29
 
0.6%
22 28
 
0.6%
18 28
 
0.6%
13 27
 
0.5%
20 27
 
0.5%
27 27
 
0.5%
21 27
 
0.5%
34 26
 
0.5%
Other values (122) 1036
 
20.6%
(Missing) 3721
73.8%
ValueCountFrequency (%)
1 15
0.3%
2 25
0.5%
3 14
0.3%
4 9
 
0.2%
5 17
0.3%
6 21
0.4%
7 18
0.4%
8 31
0.6%
9 22
0.4%
10 25
0.5%
ValueCountFrequency (%)
245 1
< 0.1%
222 1
< 0.1%
181 1
< 0.1%
178 1
< 0.1%
175 1
< 0.1%
172 1
< 0.1%
168 1
< 0.1%
163 1
< 0.1%
162 1
< 0.1%
151 1
< 0.1%
Distinct661
Distinct (%)50.5%
Missing3731
Missing (%)74.0%
Memory size39.5 KiB
2023-12-12T10:09:08.376536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.8479756
Min length1

Characters and Unicode

Total characters3728
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)25.1%

Sample

1st row43
2nd row88
3rd row147
4th row208
5th row32
ValueCountFrequency (%)
156 8
 
0.6%
1 8
 
0.6%
138 8
 
0.6%
88 8
 
0.6%
28 7
 
0.5%
115 7
 
0.5%
51 7
 
0.5%
10 6
 
0.5%
19 6
 
0.5%
57 6
 
0.5%
Other values (651) 1238
94.6%
2023-12-12T10:09:09.154546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 575
15.4%
2 493
13.2%
3 455
12.2%
4 401
10.8%
5 351
9.4%
6 334
9.0%
8 293
7.9%
7 285
7.6%
0 249
6.7%
9 235
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3671
98.5%
Other Punctuation 57
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 575
15.7%
2 493
13.4%
3 455
12.4%
4 401
10.9%
5 351
9.6%
6 334
9.1%
8 293
8.0%
7 285
7.8%
0 249
6.8%
9 235
6.4%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 575
15.4%
2 493
13.2%
3 455
12.2%
4 401
10.8%
5 351
9.4%
6 334
9.0%
8 293
7.9%
7 285
7.6%
0 249
6.7%
9 235
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 575
15.4%
2 493
13.2%
3 455
12.2%
4 401
10.8%
5 351
9.4%
6 334
9.0%
8 293
7.9%
7 285
7.6%
0 249
6.7%
9 235
6.3%

일반고등 졸업자 등록인원
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)10.1%
Missing3748
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean36.741486
Minimum1
Maximum245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:09.339343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q116
median30.5
Q350
95-th percentile88
Maximum245
Range244
Interquartile range (IQR)34

Descriptive statistics

Standard deviation28.822108
Coefficient of variation (CV)0.78445678
Kurtosis6.1169953
Mean36.741486
Median Absolute Deviation (MAD)17.5
Skewness1.8397166
Sum47470
Variance830.71391
MonotonicityNot monotonic
2023-12-12T10:09:09.544023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 31
 
0.6%
25 30
 
0.6%
13 28
 
0.6%
18 28
 
0.6%
34 27
 
0.5%
20 27
 
0.5%
24 27
 
0.5%
22 26
 
0.5%
21 26
 
0.5%
11 24
 
0.5%
Other values (121) 1018
 
20.2%
(Missing) 3748
74.4%
ValueCountFrequency (%)
1 15
0.3%
2 23
0.5%
3 12
 
0.2%
4 14
0.3%
5 18
0.4%
6 23
0.5%
7 17
0.3%
8 31
0.6%
9 21
0.4%
10 22
0.4%
ValueCountFrequency (%)
245 1
< 0.1%
222 1
< 0.1%
181 1
< 0.1%
178 1
< 0.1%
175 1
< 0.1%
172 1
< 0.1%
168 1
< 0.1%
163 1
< 0.1%
162 1
< 0.1%
151 1
< 0.1%

특성화고등 졸업자 모집인원
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)4.6%
Missing3692
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean13.23368
Minimum1
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:09.745672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median11
Q316
95-th percentile33
Maximum112
Range111
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.073869
Coefficient of variation (CV)0.83679442
Kurtosis12.377844
Mean13.23368
Median Absolute Deviation (MAD)5
Skewness2.7188073
Sum17839
Variance122.63058
MonotonicityNot monotonic
2023-12-12T10:09:09.914495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 88
 
1.7%
10 83
 
1.6%
6 82
 
1.6%
5 81
 
1.6%
7 72
 
1.4%
9 71
 
1.4%
12 71
 
1.4%
8 69
 
1.4%
13 64
 
1.3%
11 63
 
1.2%
Other values (52) 604
 
12.0%
(Missing) 3692
73.3%
ValueCountFrequency (%)
1 23
 
0.5%
2 44
0.9%
3 56
1.1%
4 88
1.7%
5 81
1.6%
6 82
1.6%
7 72
1.4%
8 69
1.4%
9 71
1.4%
10 83
1.6%
ValueCountFrequency (%)
112 1
< 0.1%
96 1
< 0.1%
81 1
< 0.1%
77 1
< 0.1%
71 2
< 0.1%
68 1
< 0.1%
67 2
< 0.1%
64 1
< 0.1%
63 1
< 0.1%
58 1
< 0.1%
Distinct353
Distinct (%)26.4%
Missing3703
Missing (%)73.5%
Memory size39.5 KiB
2023-12-12T10:09:10.424372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.474196
Min length1

Characters and Unicode

Total characters3308
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)9.1%

Sample

1st row17
2nd row45
3rd row78
4th row98
5th row26
ValueCountFrequency (%)
41 14
 
1.0%
45 14
 
1.0%
72 13
 
1.0%
36 13
 
1.0%
17 12
 
0.9%
23 12
 
0.9%
62 12
 
0.9%
78 12
 
0.9%
21 11
 
0.8%
50 11
 
0.8%
Other values (343) 1213
90.7%
2023-12-12T10:09:11.240153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 737
22.3%
2 416
12.6%
3 334
10.1%
5 293
 
8.9%
6 289
 
8.7%
4 271
 
8.2%
8 259
 
7.8%
7 245
 
7.4%
9 234
 
7.1%
0 228
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3306
99.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 737
22.3%
2 416
12.6%
3 334
10.1%
5 293
 
8.9%
6 289
 
8.7%
4 271
 
8.2%
8 259
 
7.8%
7 245
 
7.4%
9 234
 
7.1%
0 228
 
6.9%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 737
22.3%
2 416
12.6%
3 334
10.1%
5 293
 
8.9%
6 289
 
8.7%
4 271
 
8.2%
8 259
 
7.8%
7 245
 
7.4%
9 234
 
7.1%
0 228
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 737
22.3%
2 416
12.6%
3 334
10.1%
5 293
 
8.9%
6 289
 
8.7%
4 271
 
8.2%
8 259
 
7.8%
7 245
 
7.4%
9 234
 
7.1%
0 228
 
6.9%

특성화고등 졸업자 등록인원
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)4.7%
Missing3718
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean12.975038
Minimum1
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:11.496483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median10
Q316
95-th percentile32
Maximum112
Range111
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.110353
Coefficient of variation (CV)0.85628678
Kurtosis12.621382
Mean12.975038
Median Absolute Deviation (MAD)5
Skewness2.7540769
Sum17153
Variance123.43995
MonotonicityNot monotonic
2023-12-12T10:09:11.704272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 94
 
1.9%
6 86
 
1.7%
5 82
 
1.6%
10 81
 
1.6%
7 71
 
1.4%
9 68
 
1.3%
12 68
 
1.3%
8 66
 
1.3%
13 57
 
1.1%
3 57
 
1.1%
Other values (52) 592
 
11.7%
(Missing) 3718
73.8%
ValueCountFrequency (%)
1 28
 
0.6%
2 47
0.9%
3 57
1.1%
4 94
1.9%
5 82
1.6%
6 86
1.7%
7 71
1.4%
8 66
1.3%
9 68
1.3%
10 81
1.6%
ValueCountFrequency (%)
112 1
< 0.1%
96 1
< 0.1%
81 1
< 0.1%
77 1
< 0.1%
71 2
< 0.1%
68 1
< 0.1%
67 2
< 0.1%
64 1
< 0.1%
63 1
< 0.1%
58 1
< 0.1%
Distinct19
Distinct (%)45.2%
Missing4998
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean11.214286
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:11.876338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q319.5
95-th percentile30
Maximum47
Range46
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation10.928896
Coefficient of variation (CV)0.97455123
Kurtosis1.3009024
Mean11.214286
Median Absolute Deviation (MAD)5
Skewness1.2832871
Sum471
Variance119.44077
MonotonicityNot monotonic
2023-12-12T10:09:12.026682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4 8
 
0.2%
1 7
 
0.1%
5 3
 
0.1%
10 3
 
0.1%
30 3
 
0.1%
23 2
 
< 0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
2 2
 
< 0.1%
27 1
 
< 0.1%
Other values (9) 9
 
0.2%
(Missing) 4998
99.2%
ValueCountFrequency (%)
1 7
0.1%
2 2
 
< 0.1%
4 8
0.2%
5 3
 
0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 3
 
0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
47 1
 
< 0.1%
30 3
0.1%
27 1
 
< 0.1%
24 1
 
< 0.1%
23 2
< 0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
Distinct23
Distinct (%)52.3%
Missing4996
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean13.954545
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:12.183807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median10.5
Q323.25
95-th percentile34.25
Maximum47
Range46
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation12.268232
Coefficient of variation (CV)0.87915668
Kurtosis-0.02176218
Mean13.954545
Median Absolute Deviation (MAD)8.5
Skewness0.85014741
Sum614
Variance150.50951
MonotonicityNot monotonic
2023-12-12T10:09:12.317972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 6
 
0.1%
5 5
 
0.1%
2 4
 
0.1%
16 3
 
0.1%
27 3
 
0.1%
6 2
 
< 0.1%
18 2
 
< 0.1%
30 2
 
< 0.1%
4 2
 
< 0.1%
11 2
 
< 0.1%
Other values (13) 13
 
0.3%
(Missing) 4996
99.1%
ValueCountFrequency (%)
1 6
0.1%
2 4
0.1%
4 2
 
< 0.1%
5 5
0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
16 3
0.1%
ValueCountFrequency (%)
47 1
 
< 0.1%
43 1
 
< 0.1%
35 1
 
< 0.1%
30 2
< 0.1%
28 1
 
< 0.1%
27 3
0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
Distinct19
Distinct (%)46.3%
Missing4999
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean11.073171
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:12.498106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q320
95-th percentile30
Maximum47
Range46
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.70605
Coefficient of variation (CV)0.96684595
Kurtosis1.6340523
Mean11.073171
Median Absolute Deviation (MAD)5
Skewness1.3215228
Sum454
Variance114.61951
MonotonicityNot monotonic
2023-12-12T10:09:12.632735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4 7
 
0.1%
1 7
 
0.1%
5 3
 
0.1%
7 3
 
0.1%
20 2
 
< 0.1%
10 2
 
< 0.1%
8 2
 
< 0.1%
30 2
 
< 0.1%
23 2
 
< 0.1%
2 2
 
< 0.1%
Other values (9) 9
 
0.2%
(Missing) 4999
99.2%
ValueCountFrequency (%)
1 7
0.1%
2 2
 
< 0.1%
4 7
0.1%
5 3
0.1%
7 3
0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
12 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
47 1
< 0.1%
30 2
< 0.1%
27 1
< 0.1%
24 1
< 0.1%
23 2
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 2
< 0.1%
18 1
< 0.1%
17 1
< 0.1%

추천자 모집인원
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)28.6%
Missing4970
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean8.0142857
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:12.773093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile32.6
Maximum60
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.171253
Coefficient of variation (CV)1.3939175
Kurtosis9.2966921
Mean8.0142857
Median Absolute Deviation (MAD)2
Skewness2.9526233
Sum561
Variance124.79689
MonotonicityNot monotonic
2023-12-12T10:09:12.896745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2 13
 
0.3%
4 11
 
0.2%
1 11
 
0.2%
6 8
 
0.2%
10 4
 
0.1%
5 4
 
0.1%
8 3
 
0.1%
7 2
 
< 0.1%
3 2
 
< 0.1%
11 2
 
< 0.1%
Other values (10) 10
 
0.2%
(Missing) 4970
98.6%
ValueCountFrequency (%)
1 11
0.2%
2 13
0.3%
3 2
 
< 0.1%
4 11
0.2%
5 4
 
0.1%
6 8
0.2%
7 2
 
< 0.1%
8 3
 
0.1%
10 4
 
0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
60 1
< 0.1%
48 1
< 0.1%
42 1
< 0.1%
38 1
< 0.1%
26 1
< 0.1%
23 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
16 1
< 0.1%
14 1
< 0.1%

추천자 지원인원
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)50.0%
Missing4968
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean24.055556
Minimum2
Maximum252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:13.363117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median11.5
Q328.5
95-th percentile77
Maximum252
Range250
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation34.950625
Coefficient of variation (CV)1.4529128
Kurtosis25.313588
Mean24.055556
Median Absolute Deviation (MAD)8.5
Skewness4.321691
Sum1732
Variance1221.5462
MonotonicityNot monotonic
2023-12-12T10:09:13.493710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3 8
 
0.2%
8 4
 
0.1%
11 4
 
0.1%
4 4
 
0.1%
6 4
 
0.1%
5 4
 
0.1%
2 3
 
0.1%
10 3
 
0.1%
15 3
 
0.1%
30 3
 
0.1%
Other values (26) 32
 
0.6%
(Missing) 4968
98.6%
ValueCountFrequency (%)
2 3
 
0.1%
3 8
0.2%
4 4
0.1%
5 4
0.1%
6 4
0.1%
7 1
 
< 0.1%
8 4
0.1%
9 1
 
< 0.1%
10 3
 
0.1%
11 4
0.1%
ValueCountFrequency (%)
252 1
< 0.1%
98 1
< 0.1%
81 1
< 0.1%
77 2
< 0.1%
67 1
< 0.1%
63 1
< 0.1%
62 1
< 0.1%
49 1
< 0.1%
46 1
< 0.1%
45 1
< 0.1%

추천자 등록인원
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)26.5%
Missing4972
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean7.6617647
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:13.650945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile33.8
Maximum48
Range47
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.184287
Coefficient of variation (CV)1.3292352
Kurtosis6.7359548
Mean7.6617647
Median Absolute Deviation (MAD)2
Skewness2.6262574
Sum521
Variance103.71971
MonotonicityNot monotonic
2023-12-12T10:09:13.772245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 14
 
0.3%
1 11
 
0.2%
6 8
 
0.2%
4 7
 
0.1%
5 5
 
0.1%
10 3
 
0.1%
3 3
 
0.1%
8 3
 
0.1%
7 2
 
< 0.1%
42 2
 
< 0.1%
Other values (8) 10
 
0.2%
(Missing) 4972
98.7%
ValueCountFrequency (%)
1 11
0.2%
2 14
0.3%
3 3
 
0.1%
4 7
0.1%
5 5
 
0.1%
6 8
0.2%
7 2
 
< 0.1%
8 3
 
0.1%
10 3
 
0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
48 1
 
< 0.1%
42 2
< 0.1%
38 1
 
< 0.1%
26 1
 
< 0.1%
23 1
 
< 0.1%
19 1
 
< 0.1%
16 1
 
< 0.1%
14 2
< 0.1%
11 2
< 0.1%
10 3
0.1%

특기자 모집인원
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)24.0%
Missing4915
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean8.856
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:13.886325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q312
95-th percentile29
Maximum45
Range44
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.6400576
Coefficient of variation (CV)1.0885341
Kurtosis3.0027459
Mean8.856
Median Absolute Deviation (MAD)4
Skewness1.7819997
Sum1107
Variance92.93071
MonotonicityNot monotonic
2023-12-12T10:09:14.013004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 23
 
0.5%
5 14
 
0.3%
2 13
 
0.3%
3 11
 
0.2%
4 9
 
0.2%
9 6
 
0.1%
8 5
 
0.1%
17 4
 
0.1%
7 4
 
0.1%
20 3
 
0.1%
Other values (20) 33
 
0.7%
(Missing) 4915
97.5%
ValueCountFrequency (%)
1 23
0.5%
2 13
0.3%
3 11
0.2%
4 9
 
0.2%
5 14
0.3%
6 2
 
< 0.1%
7 4
 
0.1%
8 5
 
0.1%
9 6
 
0.1%
10 3
 
0.1%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 1
 
< 0.1%
40 1
 
< 0.1%
36 1
 
< 0.1%
31 2
< 0.1%
29 3
0.1%
28 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%

특기자 지원인원
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)38.3%
Missing4899
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean28.304965
Minimum1
Maximum477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:14.154829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median14
Q329
95-th percentile92
Maximum477
Range476
Interquartile range (IQR)24

Descriptive statistics

Standard deviation52.868563
Coefficient of variation (CV)1.8678194
Kurtosis39.45474
Mean28.304965
Median Absolute Deviation (MAD)11
Skewness5.4799982
Sum3991
Variance2795.0849
MonotonicityNot monotonic
2023-12-12T10:09:14.302334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 12
 
0.2%
2 8
 
0.2%
3 8
 
0.2%
6 8
 
0.2%
17 7
 
0.1%
4 7
 
0.1%
15 6
 
0.1%
5 5
 
0.1%
10 5
 
0.1%
7 4
 
0.1%
Other values (44) 71
 
1.4%
(Missing) 4899
97.2%
ValueCountFrequency (%)
1 12
0.2%
2 8
0.2%
3 8
0.2%
4 7
0.1%
5 5
0.1%
6 8
0.2%
7 4
 
0.1%
8 4
 
0.1%
9 2
 
< 0.1%
10 5
0.1%
ValueCountFrequency (%)
477 1
< 0.1%
246 1
< 0.1%
212 1
< 0.1%
164 1
< 0.1%
140 1
< 0.1%
102 1
< 0.1%
99 1
< 0.1%
92 1
< 0.1%
89 1
< 0.1%
85 2
< 0.1%

특기자 등록인원
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)23.8%
Missing4918
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean8.3688525
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:14.423215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q311
95-th percentile28.95
Maximum45
Range44
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.0838162
Coefficient of variation (CV)1.0854315
Kurtosis3.3400802
Mean8.3688525
Median Absolute Deviation (MAD)4
Skewness1.8365343
Sum1021
Variance82.515716
MonotonicityNot monotonic
2023-12-12T10:09:14.537863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 23
 
0.5%
5 14
 
0.3%
2 14
 
0.3%
3 10
 
0.2%
4 8
 
0.2%
9 6
 
0.1%
8 5
 
0.1%
6 4
 
0.1%
15 4
 
0.1%
17 4
 
0.1%
Other values (19) 30
 
0.6%
(Missing) 4918
97.6%
ValueCountFrequency (%)
1 23
0.5%
2 14
0.3%
3 10
0.2%
4 8
 
0.2%
5 14
0.3%
6 4
 
0.1%
7 4
 
0.1%
8 5
 
0.1%
9 6
 
0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
45 1
< 0.1%
40 1
< 0.1%
36 1
< 0.1%
35 1
< 0.1%
31 1
< 0.1%
29 2
< 0.1%
28 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%

관련 경력자 모집인원
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)46.2%
Missing5027
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean4.2307692
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:14.643381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile15
Maximum30
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.8544451
Coefficient of variation (CV)1.8565052
Kurtosis12.073396
Mean4.2307692
Median Absolute Deviation (MAD)1
Skewness3.4316774
Sum55
Variance61.692308
MonotonicityNot monotonic
2023-12-12T10:09:14.739883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6
 
0.1%
3 2
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
30 1
 
< 0.1%
(Missing) 5027
99.7%
ValueCountFrequency (%)
1 6
0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 2
 
< 0.1%
1 6
0.1%

관련 경력자 지원인원
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)50.0%
Missing5024
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean11.6875
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:14.838758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3.5
Q36.25
95-th percentile50.5
Maximum58
Range57
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation18.528244
Coefficient of variation (CV)1.5853043
Kurtosis2.1332191
Mean11.6875
Median Absolute Deviation (MAD)2.5
Skewness1.8686874
Sum187
Variance343.29583
MonotonicityNot monotonic
2023-12-12T10:09:14.962574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 5
 
0.1%
5 3
 
0.1%
3 3
 
0.1%
10 1
 
< 0.1%
58 1
 
< 0.1%
38 1
 
< 0.1%
4 1
 
< 0.1%
48 1
 
< 0.1%
(Missing) 5024
99.7%
ValueCountFrequency (%)
1 5
0.1%
3 3
0.1%
4 1
 
< 0.1%
5 3
0.1%
10 1
 
< 0.1%
38 1
 
< 0.1%
48 1
 
< 0.1%
58 1
 
< 0.1%
ValueCountFrequency (%)
58 1
 
< 0.1%
48 1
 
< 0.1%
38 1
 
< 0.1%
10 1
 
< 0.1%
5 3
0.1%
4 1
 
< 0.1%
3 3
0.1%
1 5
0.1%

관련 경력자 등록인원
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)46.2%
Missing5027
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean4.2307692
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:15.060028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile15
Maximum30
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.8544451
Coefficient of variation (CV)1.8565052
Kurtosis12.073396
Mean4.2307692
Median Absolute Deviation (MAD)1
Skewness3.4316774
Sum55
Variance61.692308
MonotonicityNot monotonic
2023-12-12T10:09:15.155124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 6
 
0.1%
3 2
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
30 1
 
< 0.1%
(Missing) 5027
99.7%
ValueCountFrequency (%)
1 6
0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
5 1
 
< 0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 2
 
< 0.1%
1 6
0.1%

사회지역배려대상자 모집인원
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)25.5%
Missing4934
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean7.6792453
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:15.285413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q310.75
95-th percentile29
Maximum54
Range53
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation10.419348
Coefficient of variation (CV)1.3568192
Kurtosis6.9353136
Mean7.6792453
Median Absolute Deviation (MAD)2
Skewness2.5343863
Sum814
Variance108.5628
MonotonicityNot monotonic
2023-12-12T10:09:15.410073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 26
 
0.5%
2 16
 
0.3%
3 14
 
0.3%
4 10
 
0.2%
6 6
 
0.1%
12 4
 
0.1%
14 3
 
0.1%
11 3
 
0.1%
10 3
 
0.1%
17 2
 
< 0.1%
Other values (17) 19
 
0.4%
(Missing) 4934
97.9%
ValueCountFrequency (%)
1 26
0.5%
2 16
0.3%
3 14
0.3%
4 10
 
0.2%
5 2
 
< 0.1%
6 6
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 3
 
0.1%
11 3
 
0.1%
ValueCountFrequency (%)
54 1
< 0.1%
50 1
< 0.1%
41 2
< 0.1%
38 1
< 0.1%
30 1
< 0.1%
26 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 1
< 0.1%

사회지역배려대상자 지원인원
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)36.2%
Missing4910
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean20.846154
Minimum1
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:15.545518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q325
95-th percentile90.55
Maximum149
Range148
Interquartile range (IQR)22

Descriptive statistics

Standard deviation29.217034
Coefficient of variation (CV)1.4015551
Kurtosis4.8229798
Mean20.846154
Median Absolute Deviation (MAD)6
Skewness2.1993621
Sum2710
Variance853.63506
MonotonicityNot monotonic
2023-12-12T10:09:15.694918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2 15
 
0.3%
1 14
 
0.3%
3 13
 
0.3%
8 9
 
0.2%
4 7
 
0.1%
6 6
 
0.1%
7 5
 
0.1%
13 4
 
0.1%
19 3
 
0.1%
43 3
 
0.1%
Other values (37) 51
 
1.0%
(Missing) 4910
97.4%
ValueCountFrequency (%)
1 14
0.3%
2 15
0.3%
3 13
0.3%
4 7
0.1%
6 6
 
0.1%
7 5
 
0.1%
8 9
0.2%
9 2
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
149 1
< 0.1%
138 1
< 0.1%
102 1
< 0.1%
94 1
< 0.1%
93 2
< 0.1%
91 1
< 0.1%
90 1
< 0.1%
86 1
< 0.1%
81 1
< 0.1%
80 1
< 0.1%

사회지역배려대상자 등록인원
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)27.6%
Missing4942
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean7.0408163
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:15.823412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q310
95-th percentile22.6
Maximum50
Range49
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.6750244
Coefficient of variation (CV)1.2321049
Kurtosis6.956311
Mean7.0408163
Median Absolute Deviation (MAD)2
Skewness2.3662572
Sum690
Variance75.256049
MonotonicityNot monotonic
2023-12-12T10:09:15.927691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 24
 
0.5%
2 15
 
0.3%
3 12
 
0.2%
4 10
 
0.2%
6 4
 
0.1%
14 3
 
0.1%
12 3
 
0.1%
10 3
 
0.1%
9 3
 
0.1%
21 2
 
< 0.1%
Other values (17) 19
 
0.4%
(Missing) 4942
98.1%
ValueCountFrequency (%)
1 24
0.5%
2 15
0.3%
3 12
0.2%
4 10
0.2%
5 2
 
< 0.1%
6 4
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
 
0.1%
10 3
 
0.1%
ValueCountFrequency (%)
50 1
< 0.1%
38 1
< 0.1%
30 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%
22 1
< 0.1%
21 2
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%

학생부 종합전형 모집인원
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24345238
Minimum0
Maximum137
Zeros4992
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:16.037897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum137
Range137
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9702277
Coefficient of variation (CV)16.308026
Kurtosis660.80673
Mean0.24345238
Median Absolute Deviation (MAD)0
Skewness23.973675
Sum1227
Variance15.762708
MonotonicityNot monotonic
2023-12-12T10:09:16.187252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 4992
99.0%
12 5
 
0.1%
6 4
 
0.1%
20 3
 
0.1%
9 3
 
0.1%
5 2
 
< 0.1%
10 2
 
< 0.1%
3 2
 
< 0.1%
1 2
 
< 0.1%
4 2
 
< 0.1%
Other values (22) 23
 
0.5%
ValueCountFrequency (%)
0 4992
99.0%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 4
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
 
0.1%
ValueCountFrequency (%)
137 1
< 0.1%
115 1
< 0.1%
114 1
< 0.1%
91 1
< 0.1%
69 2
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
42 1
< 0.1%
38 1
< 0.1%
Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size39.5 KiB
0
4992 
3
 
2
8
 
2
28
 
2
509
 
1
Other values (41)
 
41

Length

Max length5
Median length1
Mean length1.0123016
Min length1

Unique

Unique42 ?
Unique (%)0.8%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4992
99.0%
3 2
 
< 0.1%
8 2
 
< 0.1%
28 2
 
< 0.1%
509 1
 
< 0.1%
379 1
 
< 0.1%
396 1
 
< 0.1%
597 1
 
< 0.1%
1,121 1
 
< 0.1%
236 1
 
< 0.1%
Other values (36) 36
 
0.7%

Length

2023-12-12T10:09:16.366477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 4992
99.0%
28 2
 
< 0.1%
3 2
 
< 0.1%
8 2
 
< 0.1%
19 1
 
< 0.1%
109 1
 
< 0.1%
21 1
 
< 0.1%
65 1
 
< 0.1%
42 1
 
< 0.1%
169 1
 
< 0.1%
Other values (36) 36
 
0.7%

학생부 종합전형 등록인원
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22480159
Minimum0
Maximum137
Zeros4995
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:16.490591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum137
Range137
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7048881
Coefficient of variation (CV)16.480702
Kurtosis700.91092
Mean0.22480159
Median Absolute Deviation (MAD)0
Skewness24.320367
Sum1133
Variance13.726196
MonotonicityNot monotonic
2023-12-12T10:09:16.642138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4995
99.1%
3 5
 
0.1%
12 4
 
0.1%
20 3
 
0.1%
9 3
 
0.1%
6 2
 
< 0.1%
2 2
 
< 0.1%
69 2
 
< 0.1%
1 2
 
< 0.1%
11 2
 
< 0.1%
Other values (20) 20
 
0.4%
ValueCountFrequency (%)
0 4995
99.1%
1 2
 
< 0.1%
2 2
 
< 0.1%
3 5
 
0.1%
4 1
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
 
0.1%
11 2
 
< 0.1%
ValueCountFrequency (%)
137 1
< 0.1%
114 1
< 0.1%
91 1
< 0.1%
69 2
< 0.1%
57 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
42 1
< 0.1%
38 1
< 0.1%

비교과 입학전형 모집인원
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23511905
Minimum0
Maximum42
Zeros4850
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:16.814961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8225715
Coefficient of variation (CV)7.7516967
Kurtosis214.6933
Mean0.23511905
Median Absolute Deviation (MAD)0
Skewness13.028287
Sum1185
Variance3.321767
MonotonicityNot monotonic
2023-12-12T10:09:16.937927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 4850
96.2%
1 30
 
0.6%
2 29
 
0.6%
4 29
 
0.6%
3 24
 
0.5%
5 15
 
0.3%
6 11
 
0.2%
7 8
 
0.2%
8 6
 
0.1%
10 6
 
0.1%
Other values (19) 32
 
0.6%
ValueCountFrequency (%)
0 4850
96.2%
1 30
 
0.6%
2 29
 
0.6%
3 24
 
0.5%
4 29
 
0.6%
5 15
 
0.3%
6 11
 
0.2%
7 8
 
0.2%
8 6
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
42 1
< 0.1%
41 1
< 0.1%
35 1
< 0.1%
30 2
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
20 1
< 0.1%

비교과 입학전형 지원인원
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1896825
Minimum0
Maximum285
Zeros4838
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:17.096749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum285
Range285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.003161
Coefficient of variation (CV)8.4082611
Kurtosis279.44914
Mean1.1896825
Median Absolute Deviation (MAD)0
Skewness14.523805
Sum5996
Variance100.06324
MonotonicityNot monotonic
2023-12-12T10:09:17.266503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4838
96.0%
2 14
 
0.3%
1 12
 
0.2%
3 10
 
0.2%
7 9
 
0.2%
9 9
 
0.2%
6 8
 
0.2%
4 8
 
0.2%
10 7
 
0.1%
18 7
 
0.1%
Other values (64) 118
 
2.3%
ValueCountFrequency (%)
0 4838
96.0%
1 12
 
0.2%
2 14
 
0.3%
3 10
 
0.2%
4 8
 
0.2%
5 6
 
0.1%
6 8
 
0.2%
7 9
 
0.2%
8 2
 
< 0.1%
9 9
 
0.2%
ValueCountFrequency (%)
285 1
< 0.1%
225 1
< 0.1%
196 1
< 0.1%
178 1
< 0.1%
156 1
< 0.1%
149 1
< 0.1%
142 1
< 0.1%
128 1
< 0.1%
111 1
< 0.1%
106 1
< 0.1%

비교과 입학전형 등록인원
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21984127
Minimum0
Maximum42
Zeros4862
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:17.418195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7878343
Coefficient of variation (CV)8.1323873
Kurtosis230.24076
Mean0.21984127
Median Absolute Deviation (MAD)0
Skewness13.564185
Sum1108
Variance3.1963516
MonotonicityNot monotonic
2023-12-12T10:09:17.563132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 4862
96.5%
1 31
 
0.6%
2 29
 
0.6%
4 25
 
0.5%
3 21
 
0.4%
5 14
 
0.3%
6 8
 
0.2%
7 8
 
0.2%
8 7
 
0.1%
10 6
 
0.1%
Other values (18) 29
 
0.6%
ValueCountFrequency (%)
0 4862
96.5%
1 31
 
0.6%
2 29
 
0.6%
3 21
 
0.4%
4 25
 
0.5%
5 14
 
0.3%
6 8
 
0.2%
7 8
 
0.2%
8 7
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
42 1
< 0.1%
41 1
< 0.1%
35 1
< 0.1%
30 2
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
23 1
< 0.1%
20 1
< 0.1%

모집인원(A)
Real number (ℝ)

MISSING 

Distinct166
Distinct (%)6.2%
Missing2362
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean60.557879
Minimum1
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:17.711773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q135
median50
Q376
95-th percentile130
Maximum599
Range598
Interquartile range (IQR)41

Descriptive statistics

Standard deviation41.776387
Coefficient of variation (CV)0.68985883
Kurtosis21.242857
Mean60.557879
Median Absolute Deviation (MAD)20
Skewness3.1228867
Sum162174
Variance1745.2665
MonotonicityNot monotonic
2023-12-12T10:09:17.852165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 424
 
8.4%
30 272
 
5.4%
60 212
 
4.2%
80 181
 
3.6%
70 167
 
3.3%
35 112
 
2.2%
50 86
 
1.7%
20 86
 
1.7%
120 79
 
1.6%
90 71
 
1.4%
Other values (156) 988
19.6%
(Missing) 2362
46.9%
ValueCountFrequency (%)
1 2
 
< 0.1%
3 4
 
0.1%
4 1
 
< 0.1%
5 4
 
0.1%
6 1
 
< 0.1%
8 2
 
< 0.1%
10 29
0.6%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
599 1
< 0.1%
494 1
< 0.1%
420 1
< 0.1%
364 1
< 0.1%
311 1
< 0.1%
303 1
< 0.1%
297 1
< 0.1%
292 1
< 0.1%
288 1
< 0.1%
275 1
< 0.1%

지원인원
Text

MISSING 

Distinct1117
Distinct (%)42.1%
Missing2385
Missing (%)47.3%
Memory size39.5 KiB
2023-12-12T10:09:18.325877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.080226
Min length1

Characters and Unicode

Total characters8178
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique481 ?
Unique (%)18.1%

Sample

1st row78
2nd row154
3rd row242
4th row308
5th row79
ValueCountFrequency (%)
101 10
 
0.4%
67 10
 
0.4%
156 10
 
0.4%
76 10
 
0.4%
140 9
 
0.3%
177 9
 
0.3%
107 9
 
0.3%
37 8
 
0.3%
41 8
 
0.3%
129 8
 
0.3%
Other values (1107) 2564
96.6%
2023-12-12T10:09:19.297371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1298
15.9%
2 954
11.7%
3 835
10.2%
4 801
9.8%
6 739
9.0%
5 729
8.9%
7 689
8.4%
8 637
7.8%
9 604
7.4%
0 576
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7862
96.1%
Other Punctuation 316
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1298
16.5%
2 954
12.1%
3 835
10.6%
4 801
10.2%
6 739
9.4%
5 729
9.3%
7 689
8.8%
8 637
8.1%
9 604
7.7%
0 576
7.3%
Other Punctuation
ValueCountFrequency (%)
, 316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1298
15.9%
2 954
11.7%
3 835
10.2%
4 801
9.8%
6 739
9.0%
5 729
8.9%
7 689
8.4%
8 637
7.8%
9 604
7.4%
0 576
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1298
15.9%
2 954
11.7%
3 835
10.2%
4 801
9.8%
6 739
9.0%
5 729
8.9%
7 689
8.4%
8 637
7.8%
9 604
7.4%
0 576
7.0%

등록인원(B)
Real number (ℝ)

MISSING 

Distinct181
Distinct (%)6.9%
Missing2406
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean57.583903
Minimum1
Maximum420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:19.518227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16
Q130
median45
Q373
95-th percentile127
Maximum420
Range419
Interquartile range (IQR)43

Descriptive statistics

Standard deviation40.532676
Coefficient of variation (CV)0.703889
Kurtosis10.218627
Mean57.583903
Median Absolute Deviation (MAD)19
Skewness2.3821708
Sum151676
Variance1642.8978
MonotonicityNot monotonic
2023-12-12T10:09:19.755743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 300
 
6.0%
30 201
 
4.0%
80 152
 
3.0%
60 149
 
3.0%
70 136
 
2.7%
20 75
 
1.5%
35 71
 
1.4%
50 69
 
1.4%
25 69
 
1.4%
120 63
 
1.2%
Other values (171) 1349
26.8%
(Missing) 2406
47.7%
ValueCountFrequency (%)
1 6
 
0.1%
2 1
 
< 0.1%
3 5
 
0.1%
4 6
 
0.1%
5 8
 
0.2%
6 1
 
< 0.1%
7 3
 
0.1%
8 7
 
0.1%
9 3
 
0.1%
10 27
0.5%
ValueCountFrequency (%)
420 1
< 0.1%
396 1
< 0.1%
364 1
< 0.1%
311 1
< 0.1%
303 1
< 0.1%
297 1
< 0.1%
292 1
< 0.1%
288 1
< 0.1%
268 1
< 0.1%
260 2
< 0.1%

지원율
Real number (ℝ)

MISSING  ZEROS 

Distinct281
Distinct (%)10.2%
Missing2278
Missing (%)45.2%
Infinite0
Infinite (%)0.0%
Mean7.668139
Minimum0
Maximum137.8
Zeros108
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:19.940710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.7
median6.2
Q39.4
95-th percentile18.2
Maximum137.8
Range137.8
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation7.7288571
Coefficient of variation (CV)1.0079182
Kurtosis60.004364
Mean7.668139
Median Absolute Deviation (MAD)2.8
Skewness5.6800001
Sum21179.4
Variance59.735232
MonotonicityNot monotonic
2023-12-12T10:09:20.106587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
2.1%
7.2 42
 
0.8%
6.4 33
 
0.7%
3.8 33
 
0.7%
7.7 32
 
0.6%
4.0 31
 
0.6%
3.9 31
 
0.6%
1.9 30
 
0.6%
2.7 30
 
0.6%
3.4 29
 
0.6%
Other values (271) 2363
46.9%
(Missing) 2278
45.2%
ValueCountFrequency (%)
0.0 108
2.1%
0.1 3
 
0.1%
0.2 4
 
0.1%
0.4 6
 
0.1%
0.5 3
 
0.1%
0.6 1
 
< 0.1%
0.7 2
 
< 0.1%
0.8 2
 
< 0.1%
0.9 4
 
0.1%
1.0 7
 
0.1%
ValueCountFrequency (%)
137.8 1
< 0.1%
111.9 1
< 0.1%
90.2 1
< 0.1%
86.0 1
< 0.1%
73.2 1
< 0.1%
72.5 1
< 0.1%
66.0 1
< 0.1%
65.2 1
< 0.1%
60.6 1
< 0.1%
59.4 1
< 0.1%

등록율
Real number (ℝ)

MISSING  ZEROS 

Distinct248
Distinct (%)9.0%
Missing2299
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean89.943196
Minimum0
Maximum101.3
Zeros107
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size44.4 KiB
2023-12-12T10:09:20.280086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q193.3
median100
Q3100
95-th percentile100
Maximum101.3
Range101.3
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation22.966124
Coefficient of variation (CV)0.25534032
Kurtosis7.5821307
Mean89.943196
Median Absolute Deviation (MAD)0
Skewness-2.8298008
Sum246534.3
Variance527.44286
MonotonicityNot monotonic
2023-12-12T10:09:20.427649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 1917
38.0%
0.0 107
 
2.1%
80.0 41
 
0.8%
90.0 24
 
0.5%
95.0 21
 
0.4%
93.3 17
 
0.3%
85.0 16
 
0.3%
60.0 16
 
0.3%
70.0 15
 
0.3%
92.5 14
 
0.3%
Other values (238) 553
 
11.0%
(Missing) 2299
45.6%
ValueCountFrequency (%)
0.0 107
2.1%
2.0 1
 
< 0.1%
4.0 1
 
< 0.1%
5.0 1
 
< 0.1%
6.7 2
 
< 0.1%
7.5 1
 
< 0.1%
8.0 1
 
< 0.1%
12.9 1
 
< 0.1%
13.3 1
 
< 0.1%
16.0 1
 
< 0.1%
ValueCountFrequency (%)
101.3 1
 
< 0.1%
100.0 1917
38.0%
99.2 3
 
0.1%
99.1 2
 
< 0.1%
98.9 2
 
< 0.1%
98.7 1
 
< 0.1%
98.6 2
 
< 0.1%
98.5 1
 
< 0.1%
98.4 2
 
< 0.1%
98.3 7
 
0.1%

미충원(A-B)
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)8.1%
Missing4279
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean13.795007
Minimum-1
Maximum331
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size44.4 KiB
2023-12-12T10:09:20.614454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile1
Q14
median9
Q318
95-th percentile40
Maximum331
Range332
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.084525
Coefficient of variation (CV)1.3109471
Kurtosis130.4953
Mean13.795007
Median Absolute Deviation (MAD)6
Skewness8.5227925
Sum10498
Variance327.05003
MonotonicityNot monotonic
2023-12-12T10:09:20.762402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 68
 
1.3%
1 54
 
1.1%
3 46
 
0.9%
5 46
 
0.9%
6 43
 
0.9%
8 40
 
0.8%
4 36
 
0.7%
11 28
 
0.6%
9 28
 
0.6%
10 27
 
0.5%
Other values (52) 345
 
6.8%
(Missing) 4279
84.9%
ValueCountFrequency (%)
-1 1
 
< 0.1%
1 54
1.1%
2 68
1.3%
3 46
0.9%
4 36
0.7%
5 46
0.9%
6 43
0.9%
7 26
 
0.5%
8 40
0.8%
9 28
0.6%
ValueCountFrequency (%)
331 1
 
< 0.1%
160 1
 
< 0.1%
98 1
 
< 0.1%
80 2
< 0.1%
75 1
 
< 0.1%
67 1
 
< 0.1%
62 1
 
< 0.1%
61 3
0.1%
60 3
0.1%
57 1
 
< 0.1%

Sample

지역설립대학명계열중분류모집단위학제주야입학정원모집시기일반전형 모집인원일반전형 지원인원일반전형 등록인원대학자체기준 모집인원대학자체기준 지원인원대학자체기준 등록인원고교유형별대상자 모집인원고교유형별대상자 지원인원고교유형별대상자 등록인원경력자 및 특기자 모집인원경력자 및 특기자 지원인원경력자 및 특기자 등록인원추천자 및 사회지역 우선 모집인원추천자 및 사회지역 우선 지원인원추천자 및 사회지역 우선 등록인원일반고등 졸업자 모집인원일반고등 졸업자 지원인원일반고등 졸업자 등록인원특성화고등 졸업자 모집인원특성화고등 졸업자 지원인원특성화고등 졸업자 등록인원동일계열 및연계 교육 대상자 모집인원동일계열 및연계 교육 대상자 지원인원동일계열 및연계 교육 대상자 등록인원추천자 모집인원추천자 지원인원추천자 등록인원특기자 모집인원특기자 지원인원특기자 등록인원관련 경력자 모집인원관련 경력자 지원인원관련 경력자 등록인원사회지역배려대상자 모집인원사회지역배려대상자 지원인원사회지역배려대상자 등록인원학생부 종합전형 모집인원학생부 종합전형 지원인원학생부 종합전형 등록인원비교과 입학전형 모집인원비교과 입학전형 지원인원비교과 입학전형 등록인원모집인원(A)지원인원등록인원(B)지원율등록율미충원(A-B)
0강원공립강원도립대학교인문사회계열경영,경제크루즈승무원과2주간20<NA>111811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>64363173<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000002078203.9100.0<NA>
1강원공립강원도립대학교인문사회계열경영,경제크루즈승무원과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
2강원공립강원도립대학교인문사회계열사회과학항공관광과2주간25<NA>8218<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>98898458<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00000025154256.2100.0<NA>
3강원공립강원도립대학교인문사회계열사회과학항공관광과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
4강원공립강원도립대학교인문사회계열사회과학공공인재융합과(경찰행정전공, 사회복지전공)2주간37<NA>4174<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2214722117811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00000037242376.5100.0<NA>
5강원공립강원도립대학교인문사회계열사회과학공공인재융합과(경찰행정전공, 사회복지전공)2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
6강원공립강원도립대학교자연과학계열외식,영양바리스타제과제빵과2주간30<NA>121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21208218988<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000303083010.3100.0<NA>
7강원공립강원도립대학교자연과학계열외식,영양바리스타제과제빵과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
8강원공립강원도립대학교자연과학계열농림,수산스마트해양양식과2주간25<NA>112111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>93295265<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000002579253.2100.0<NA>
9강원공립강원도립대학교자연과학계열농림,수산스마트해양양식과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
지역설립대학명계열중분류모집단위학제주야입학정원모집시기일반전형 모집인원일반전형 지원인원일반전형 등록인원대학자체기준 모집인원대학자체기준 지원인원대학자체기준 등록인원고교유형별대상자 모집인원고교유형별대상자 지원인원고교유형별대상자 등록인원경력자 및 특기자 모집인원경력자 및 특기자 지원인원경력자 및 특기자 등록인원추천자 및 사회지역 우선 모집인원추천자 및 사회지역 우선 지원인원추천자 및 사회지역 우선 등록인원일반고등 졸업자 모집인원일반고등 졸업자 지원인원일반고등 졸업자 등록인원특성화고등 졸업자 모집인원특성화고등 졸업자 지원인원특성화고등 졸업자 등록인원동일계열 및연계 교육 대상자 모집인원동일계열 및연계 교육 대상자 지원인원동일계열 및연계 교육 대상자 등록인원추천자 모집인원추천자 지원인원추천자 등록인원특기자 모집인원특기자 지원인원특기자 등록인원관련 경력자 모집인원관련 경력자 지원인원관련 경력자 등록인원사회지역배려대상자 모집인원사회지역배려대상자 지원인원사회지역배려대상자 등록인원학생부 종합전형 모집인원학생부 종합전형 지원인원학생부 종합전형 등록인원비교과 입학전형 모집인원비교과 입학전형 지원인원비교과 입학전형 등록인원모집인원(A)지원인원등록인원(B)지원율등록율미충원(A-B)
5030<NA><NA><NA>공학계열컴퓨터,통신도시조경인테리어과2주간50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5031<NA><NA><NA>공학계열컴퓨터,통신도시조경인테리어과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5032<NA><NA><NA>공학계열컴퓨터,통신국방정보통신과2주간120<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5033<NA><NA><NA>공학계열컴퓨터,통신국방정보통신과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5034<NA><NA><NA>예체능계열응용예술만화애니메이션과2주간45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5035<NA><NA><NA>예체능계열응용예술만화애니메이션과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5036<NA><NA><NA>예체능계열체육,무도사회체육과2주간45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5037<NA><NA><NA>예체능계열체육,무도사회체육과2야간20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA>0.00.0<NA>
5038<NA><NA><NA>예체능계열뷰티뷰티케어과2주간45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>
5039<NA><NA><NA>예체능계열뷰티뷰티케어과2야간0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000000<NA><NA><NA><NA><NA><NA>