Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.4 KiB
Average record size in memory41.0 B

Variable types

Text1
Categorical2
Numeric1

Dataset

Description학점은행제 교육훈련기관별 교강사별 학습과목에 대한 데이터로 학습과정명, 교강사구분, 구분, 차수 등의 항목을 제공합니다. 정보공개법 제9조제1항제6호에 의거 부분공개
URLhttps://www.data.go.kr/data/15089319/fileData.do

Alerts

구분 is highly imbalanced (90.2%)Imbalance

Reproduction

Analysis started2023-12-12 10:39:24.734453
Analysis finished2023-12-12 10:39:25.942379
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학습과정
Text

Distinct2659
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T19:39:26.203118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length6.0533
Min length2

Characters and Unicode

Total characters60533
Distinct characters524
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique856 ?
Unique (%)8.6%

Sample

1st row유아발달
2nd row로고&타입페이스
3rd row생활체육론
4th row운영체제실습
5th row게이트볼Ⅰ
ValueCountFrequency (%)
사회복지학개론 27
 
0.3%
및 24
 
0.2%
자원봉사론 24
 
0.2%
사회복지조사론 23
 
0.2%
사회복지행정론 23
 
0.2%
국제경영 23
 
0.2%
사회복지법제와실천 22
 
0.2%
보육실습 22
 
0.2%
가족상담및가족치료 21
 
0.2%
아동복지론 21
 
0.2%
Other values (2663) 9864
97.7%
2023-12-12T19:39:26.696468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
론 2274
 
3.8%
학 1807
 
3.0%
실 1659
 
2.7%
Ⅰ 1403
 
2.3%
기 1264
 
2.1%
리 1213
 
2.0%
사 1183
 
2.0%
습 1074
 
1.8%
지 949
 
1.6%
영 825
 
1.4%
Other values (514) 46882
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57381
94.8%
Letter Number 2373
 
3.9%
Uppercase Letter 356
 
0.6%
Lowercase Letter 135
 
0.2%
Space Separator 100
 
0.2%
Other Punctuation 95
 
0.2%
Decimal Number 40
 
0.1%
Close Punctuation 18
 
< 0.1%
Open Punctuation 18
 
< 0.1%
Dash Punctuation 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
론 2274
 
4.0%
학 1807
 
3.1%
실 1659
 
2.9%
기 1264
 
2.2%
리 1213
 
2.1%
사 1183
 
2.1%
습 1074
 
1.9%
지 949
 
1.7%
영 825
 
1.4%
인 760
 
1.3%
Other values (463) 44373
77.3%
Uppercase Letter
ValueCountFrequency (%)
C 74
20.8%
D 72
20.2%
T 45
12.6%
A 39
11.0%
V 38
10.7%
P 28
 
7.9%
N 13
 
3.7%
I 12
 
3.4%
M 11
 
3.1%
L 6
 
1.7%
Other values (9) 18
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
o 23
17.0%
e 18
13.3%
t 17
12.6%
s 14
10.4%
r 13
9.6%
h 12
8.9%
l 10
7.4%
u 8
 
5.9%
a 8
 
5.9%
p 6
 
4.4%
Other values (3) 6
 
4.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 1403
59.1%
Ⅱ 726
30.6%
Ⅲ 112
 
4.7%
Ⅳ 75
 
3.2%
Ⅴ 17
 
0.7%
Ⅵ 16
 
0.7%
Ⅶ 13
 
0.5%
Ⅷ 11
 
0.5%
Other Punctuation
ValueCountFrequency (%)
· 78
82.1%
& 9
 
9.5%
/ 7
 
7.4%
, 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
3 21
52.5%
2 13
32.5%
0 6
 
15.0%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57381
94.8%
Latin 2864
 
4.7%
Common 288
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
론 2274
 
4.0%
학 1807
 
3.1%
실 1659
 
2.9%
기 1264
 
2.2%
리 1213
 
2.1%
사 1183
 
2.1%
습 1074
 
1.9%
지 949
 
1.7%
영 825
 
1.4%
인 760
 
1.3%
Other values (463) 44373
77.3%
Latin
ValueCountFrequency (%)
Ⅰ 1403
49.0%
Ⅱ 726
25.3%
Ⅲ 112
 
3.9%
Ⅳ 75
 
2.6%
C 74
 
2.6%
D 72
 
2.5%
T 45
 
1.6%
A 39
 
1.4%
V 38
 
1.3%
P 28
 
1.0%
Other values (30) 252
 
8.8%
Common
ValueCountFrequency (%)
100
34.7%
· 78
27.1%
3 21
 
7.3%
) 18
 
6.2%
( 18
 
6.2%
- 17
 
5.9%
2 13
 
4.5%
& 9
 
3.1%
/ 7
 
2.4%
0 6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57374
94.8%
Number Forms 2373
 
3.9%
ASCII 701
 
1.2%
None 78
 
0.1%
Compat Jamo 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
론 2274
 
4.0%
학 1807
 
3.1%
실 1659
 
2.9%
기 1264
 
2.2%
리 1213
 
2.1%
사 1183
 
2.1%
습 1074
 
1.9%
지 949
 
1.7%
영 825
 
1.4%
인 760
 
1.3%
Other values (462) 44366
77.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1403
59.1%
Ⅱ 726
30.6%
Ⅲ 112
 
4.7%
Ⅳ 75
 
3.2%
Ⅴ 17
 
0.7%
Ⅵ 16
 
0.7%
Ⅶ 13
 
0.5%
Ⅷ 11
 
0.5%
ASCII
ValueCountFrequency (%)
100
14.3%
C 74
 
10.6%
D 72
 
10.3%
T 45
 
6.4%
A 39
 
5.6%
V 38
 
5.4%
P 28
 
4.0%
o 23
 
3.3%
3 21
 
3.0%
) 18
 
2.6%
Other values (32) 243
34.7%
None
ValueCountFrequency (%)
· 78
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%

교강사구분
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시간강사
4282 
전임
3199 
겸임
1208 
대학전임
1090 
기타
 
178
Other values (3)
 
43

Length

Max length6
Median length4
Mean length3.0796
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row겸임
2nd row전임
3rd row전임
4th row전임
5th row시간강사

Common Values

ValueCountFrequency (%)
시간강사 4282
42.8%
전임 3199
32.0%
겸임 1208
 
12.1%
대학전임 1090
 
10.9%
기타 178
 
1.8%
공무원 39
 
0.4%
전수교육조교 3
 
< 0.1%
보유자 1
 
< 0.1%

Length

2023-12-12T19:39:26.884799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:27.078249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시간강사 4282
42.8%
전임 3199
32.0%
겸임 1208
 
12.1%
대학전임 1090
 
10.9%
기타 178
 
1.8%
공무원 39
 
0.4%
전수교육조교 3
 
< 0.1%
보유자 1
 
< 0.1%

구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평가
9703 
추가
 
148
교체
 
139
기존
 
9
변경인정
 
1

Length

Max length4
Median length2
Mean length2.0002
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
평가 9703
97.0%
추가 148
 
1.5%
교체 139
 
1.4%
기존 9
 
0.1%
변경인정 1
 
< 0.1%

Length

2023-12-12T19:39:27.285655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:39:27.454894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평가 9703
97.0%
추가 148
 
1.5%
교체 139
 
1.4%
기존 9
 
0.1%
변경인정 1
 
< 0.1%

차수
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.6076
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:39:27.577367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q127
median28
Q330
95-th percentile31
Maximum32
Range31
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.7200008
Coefficient of variation (CV)0.13474553
Kurtosis3.9109664
Mean27.6076
Median Absolute Deviation (MAD)2
Skewness-1.7691829
Sum276076
Variance13.838406
MonotonicityNot monotonic
2023-12-12T19:39:27.739854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
31 1799
18.0%
28 1684
16.8%
30 1656
16.6%
29 1230
12.3%
27 1125
11.2%
26 1028
10.3%
20 363
 
3.6%
18 272
 
2.7%
19 225
 
2.2%
21 185
 
1.8%
Other values (7) 433
 
4.3%
ValueCountFrequency (%)
1 4
 
< 0.1%
2 7
 
0.1%
8 4
 
< 0.1%
16 90
 
0.9%
17 30
 
0.3%
18 272
2.7%
19 225
2.2%
20 363
3.6%
21 185
1.8%
22 115
 
1.1%
ValueCountFrequency (%)
32 183
 
1.8%
31 1799
18.0%
30 1656
16.6%
29 1230
12.3%
28 1684
16.8%
27 1125
11.2%
26 1028
10.3%
22 115
 
1.1%
21 185
 
1.8%
20 363
 
3.6%

Interactions

2023-12-12T19:39:25.247781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:39:27.862519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교강사구분구분차수
교강사구분1.0000.0660.215
구분0.0661.0000.127
차수0.2150.1271.000
2023-12-12T19:39:27.982828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분교강사구분
구분1.0000.040
교강사구분0.0401.000
2023-12-12T19:39:28.090439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차수교강사구분구분
차수1.0000.1170.081
교강사구분0.1171.0000.040
구분0.0810.0401.000

Missing values

2023-12-12T19:39:25.753299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:39:25.886112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

학습과정교강사구분구분차수
13176유아발달겸임평가18
4799로고&타입페이스전임평가28
8541생활체육론전임평가31
12943운영체제실습전임평가31
935게이트볼Ⅰ시간강사평가31
7747사회복지지도감독론시간강사평가19
11513여행사경영론시간강사평가29
523D컴퓨터그래픽대학전임평가26
16336중급재무회계Ⅰ시간강사평가29
16775창작파마실습시간강사평가31
학습과정교강사구분구분차수
2326광고학겸임평가21
16902청소년복지론시간강사평가32
11314언어발달장애겸임평가19
13882이태리어딕션Ⅰ시간강사평가29
11745영문학강독Ⅰ시간강사평가29
14797장면만들기Ⅱ겸임평가27
12765용접및판금도장실습겸임평가28
13293음료서비스실습전임평가32
16064조리용어겸임평가30
3850대기분석및실습공무원평가19