Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows52
Duplicate rows (%)0.5%
Total size in memory918.0 KiB
Average record size in memory94.0 B

Variable types

Text2
Numeric5
Categorical3

Dataset

Description학점은행제 교육훈련기관별 학습과목 정보에 대한 데이터로 기관명, 학습과정명, 이수기간, 주당수업시간, 학점, 급당정원, 학급수, 총정원, 유효시작일, 유효종료일 등의 항목을 제공합니다. * 2021.11.10 기준 유효한 학습과목
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15050106/fileData.do

Alerts

Dataset has 52 (0.5%) duplicate rowsDuplicates
이수기간 is highly overall correlated with 주당수업시간High correlation
주당수업시간 is highly overall correlated with 이수기간High correlation
학급수 is highly overall correlated with 총정원High correlation
총정원 is highly overall correlated with 학급수High correlation
유효시작일 is highly overall correlated with 유효종료일High correlation
유효종료일 is highly overall correlated with 유효시작일High correlation
학점 is highly imbalanced (95.6%)Imbalance

Reproduction

Analysis started2023-12-12 05:30:40.315959
Analysis finished2023-12-12 05:30:45.146193
Duration4.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

Distinct425
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:30:45.310705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length12.2712
Min length5

Characters and Unicode

Total characters122712
Distinct characters297
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)0.2%

Sample

1st row부산과학기술대학교부설평생교육원
2nd row경남대학교부설평생교육원
3rd row동방문화대학원대학교부설평생교육원
4th row고려대학교부설평생교육원
5th row동서울대학교부설평생교육원
ValueCountFrequency (%)
부설 498
 
4.1%
평생교육원 493
 
4.0%
미래교육원 398
 
3.2%
동국대학교 177
 
1.4%
세종대학교미래교육원 151
 
1.2%
중앙대학교 148
 
1.2%
서울호서직업전문학교 140
 
1.1%
숭실대학교글로벌미래교육원 137
 
1.1%
미래인재교육원 134
 
1.1%
한양대학교 134
 
1.1%
Other values (439) 9855
80.4%
2023-12-12T14:30:45.696019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 15139
 
12.3%
원 9175
 
7.5%
학 8601
 
7.0%
육 7700
 
6.3%
대 6501
 
5.3%
평 5575
 
4.5%
생 5572
 
4.5%
부 4020
 
3.3%
설 3939
 
3.2%
2265
 
1.8%
Other values (287) 54225
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116038
94.6%
Space Separator 2265
 
1.8%
Uppercase Letter 2118
 
1.7%
Open Punctuation 903
 
0.7%
Close Punctuation 903
 
0.7%
Lowercase Letter 371
 
0.3%
Other Punctuation 62
 
0.1%
Decimal Number 26
 
< 0.1%
Math Symbol 14
 
< 0.1%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 15139
 
13.0%
원 9175
 
7.9%
학 8601
 
7.4%
육 7700
 
6.6%
대 6501
 
5.6%
평 5575
 
4.8%
생 5572
 
4.8%
부 4020
 
3.5%
설 3939
 
3.4%
문 1891
 
1.6%
Other values (244) 47925
41.3%
Uppercase Letter
ValueCountFrequency (%)
C 374
17.7%
A 318
15.0%
K 213
10.1%
I 211
10.0%
S 156
7.4%
B 126
 
5.9%
D 123
 
5.8%
E 102
 
4.8%
U 87
 
4.1%
T 73
 
3.4%
Other values (9) 335
15.8%
Lowercase Letter
ValueCountFrequency (%)
s 68
18.3%
o 48
12.9%
t 44
11.9%
u 44
11.9%
d 44
11.9%
y 44
11.9%
e 35
9.4%
g 24
 
6.5%
m 5
 
1.3%
i 5
 
1.3%
Other values (2) 10
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 11
42.3%
1 11
42.3%
6 2
 
7.7%
0 1
 
3.8%
9 1
 
3.8%
Space Separator
ValueCountFrequency (%)
2265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 903
100.0%
Other Punctuation
ValueCountFrequency (%)
& 62
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116038
94.6%
Common 4183
 
3.4%
Latin 2491
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 15139
 
13.0%
원 9175
 
7.9%
학 8601
 
7.4%
육 7700
 
6.6%
대 6501
 
5.6%
평 5575
 
4.8%
생 5572
 
4.8%
부 4020
 
3.5%
설 3939
 
3.4%
문 1891
 
1.6%
Other values (244) 47925
41.3%
Latin
ValueCountFrequency (%)
C 374
15.0%
A 318
12.8%
K 213
 
8.6%
I 211
 
8.5%
S 156
 
6.3%
B 126
 
5.1%
D 123
 
4.9%
E 102
 
4.1%
U 87
 
3.5%
T 73
 
2.9%
Other values (22) 708
28.4%
Common
ValueCountFrequency (%)
2265
54.1%
( 903
 
21.6%
) 903
 
21.6%
& 62
 
1.5%
+ 14
 
0.3%
2 11
 
0.3%
1 11
 
0.3%
- 10
 
0.2%
6 2
 
< 0.1%
0 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116038
94.6%
ASCII 6672
 
5.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 15139
 
13.0%
원 9175
 
7.9%
학 8601
 
7.4%
육 7700
 
6.6%
대 6501
 
5.6%
평 5575
 
4.8%
생 5572
 
4.8%
부 4020
 
3.5%
설 3939
 
3.4%
문 1891
 
1.6%
Other values (244) 47925
41.3%
ASCII
ValueCountFrequency (%)
2265
33.9%
( 903
 
13.5%
) 903
 
13.5%
C 374
 
5.6%
A 318
 
4.8%
K 213
 
3.2%
I 211
 
3.2%
S 156
 
2.3%
B 126
 
1.9%
D 123
 
1.8%
Other values (32) 1080
16.2%
Number Forms
ValueCountFrequency (%)
Ⅶ 2
100.0%

학습과정명
Text

Distinct2191
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:30:45.971712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.053
Min length2

Characters and Unicode

Total characters60530
Distinct characters509
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique875 ?
Unique (%)8.8%

Sample

1st row국토와환경
2nd row자원봉사론
3rd row불교문화콘텐츠
4th row일반수학
5th row스포츠의이해
ValueCountFrequency (%)
인간행동과사회환경 78
 
0.8%
사회복지학개론 77
 
0.8%
사회복지현장실습 74
 
0.7%
사회복지행정론 72
 
0.7%
지역사회복지론 63
 
0.6%
사회복지실천론 62
 
0.6%
사회복지실천기술론 62
 
0.6%
심리학개론 61
 
0.6%
사회복지정책론 59
 
0.6%
장애인복지론 57
 
0.6%
Other values (2192) 9468
93.4%
2023-12-12T14:30:46.480569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
론 2954
 
4.9%
학 2017
 
3.3%
사 1574
 
2.6%
실 1565
 
2.6%
지 1540
 
2.5%
리 1357
 
2.2%
Ⅰ 1145
 
1.9%
회 1101
 
1.8%
복 1057
 
1.7%
기 972
 
1.6%
Other values (499) 45248
74.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58148
96.1%
Letter Number 1839
 
3.0%
Uppercase Letter 162
 
0.3%
Space Separator 138
 
0.2%
Lowercase Letter 100
 
0.2%
Other Punctuation 75
 
0.1%
Decimal Number 25
 
< 0.1%
Dash Punctuation 15
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Open Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
론 2954
 
5.1%
학 2017
 
3.5%
사 1574
 
2.7%
실 1565
 
2.7%
지 1540
 
2.6%
리 1357
 
2.3%
회 1101
 
1.9%
복 1057
 
1.8%
기 972
 
1.7%
개 960
 
1.7%
Other values (453) 43051
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 38
23.5%
D 33
20.4%
P 18
11.1%
T 17
10.5%
V 16
9.9%
A 12
 
7.4%
I 10
 
6.2%
M 4
 
2.5%
E 3
 
1.9%
L 2
 
1.2%
Other values (7) 9
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 17
17.0%
t 14
14.0%
e 14
14.0%
r 11
11.0%
l 10
10.0%
s 9
9.0%
h 8
8.0%
u 6
 
6.0%
a 6
 
6.0%
p 4
 
4.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1145
62.3%
Ⅱ 494
26.9%
Ⅲ 81
 
4.4%
Ⅳ 47
 
2.6%
Ⅶ 21
 
1.1%
Ⅴ 18
 
1.0%
Ⅷ 18
 
1.0%
Ⅵ 15
 
0.8%
Other Punctuation
ValueCountFrequency (%)
· 65
86.7%
& 6
 
8.0%
/ 4
 
5.3%
Decimal Number
ValueCountFrequency (%)
3 11
44.0%
2 9
36.0%
0 5
20.0%
Space Separator
ValueCountFrequency (%)
138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58148
96.1%
Latin 2101
 
3.5%
Common 281
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
론 2954
 
5.1%
학 2017
 
3.5%
사 1574
 
2.7%
실 1565
 
2.7%
지 1540
 
2.6%
리 1357
 
2.3%
회 1101
 
1.9%
복 1057
 
1.8%
기 972
 
1.7%
개 960
 
1.7%
Other values (453) 43051
74.0%
Latin
ValueCountFrequency (%)
Ⅰ 1145
54.5%
Ⅱ 494
23.5%
Ⅲ 81
 
3.9%
Ⅳ 47
 
2.2%
C 38
 
1.8%
D 33
 
1.6%
Ⅶ 21
 
1.0%
Ⅴ 18
 
0.9%
Ⅷ 18
 
0.9%
P 18
 
0.9%
Other values (26) 188
 
8.9%
Common
ValueCountFrequency (%)
138
49.1%
· 65
23.1%
- 15
 
5.3%
) 14
 
5.0%
( 14
 
5.0%
3 11
 
3.9%
2 9
 
3.2%
& 6
 
2.1%
0 5
 
1.8%
/ 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58148
96.1%
Number Forms 1839
 
3.0%
ASCII 478
 
0.8%
None 65
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
론 2954
 
5.1%
학 2017
 
3.5%
사 1574
 
2.7%
실 1565
 
2.7%
지 1540
 
2.6%
리 1357
 
2.3%
회 1101
 
1.9%
복 1057
 
1.8%
기 972
 
1.7%
개 960
 
1.7%
Other values (453) 43051
74.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1145
62.3%
Ⅱ 494
26.9%
Ⅲ 81
 
4.4%
Ⅳ 47
 
2.6%
Ⅶ 21
 
1.1%
Ⅴ 18
 
1.0%
Ⅷ 18
 
1.0%
Ⅵ 15
 
0.8%
ASCII
ValueCountFrequency (%)
138
28.9%
C 38
 
7.9%
D 33
 
6.9%
P 18
 
3.8%
T 17
 
3.6%
o 17
 
3.6%
V 16
 
3.3%
- 15
 
3.1%
t 14
 
2.9%
e 14
 
2.9%
Other values (27) 158
33.1%
None
ValueCountFrequency (%)
· 65
100.0%

이수기간
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.3233
Minimum4
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:30:46.650249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum26
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0677872
Coefficient of variation (CV)0.23025731
Kurtosis-0.23384693
Mean13.3233
Median Absolute Deviation (MAD)0
Skewness-1.0478517
Sum133233
Variance9.4113182
MonotonicityNot monotonic
2023-12-12T14:30:46.789167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
15 7456
74.6%
8 2351
 
23.5%
16 35
 
0.4%
10 31
 
0.3%
11 19
 
0.2%
22 15
 
0.1%
6 12
 
0.1%
7 12
 
0.1%
9 9
 
0.1%
14 8
 
0.1%
Other values (12) 52
 
0.5%
ValueCountFrequency (%)
4 8
 
0.1%
5 4
 
< 0.1%
6 12
 
0.1%
7 12
 
0.1%
8 2351
23.5%
9 9
 
0.1%
10 31
 
0.3%
11 19
 
0.2%
12 4
 
< 0.1%
13 7
 
0.1%
ValueCountFrequency (%)
26 3
 
< 0.1%
25 5
 
0.1%
24 3
 
< 0.1%
23 6
 
0.1%
22 15
0.1%
20 5
 
0.1%
19 1
 
< 0.1%
18 2
 
< 0.1%
17 4
 
< 0.1%
16 35
0.4%

주당수업시간
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3295
Minimum2
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:30:46.921615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median3
Q35
95-th percentile8
Maximum23
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8158358
Coefficient of variation (CV)0.41941004
Kurtosis5.8193745
Mean4.3295
Median Absolute Deviation (MAD)0
Skewness1.8574785
Sum43295
Variance3.2972595
MonotonicityNot monotonic
2023-12-12T14:30:47.051394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3 5144
51.4%
6 1767
 
17.7%
5 1376
 
13.8%
4 1005
 
10.1%
10 342
 
3.4%
8 304
 
3.0%
2 22
 
0.2%
7 14
 
0.1%
12 6
 
0.1%
9 5
 
0.1%
Other values (9) 15
 
0.1%
ValueCountFrequency (%)
2 22
 
0.2%
3 5144
51.4%
4 1005
 
10.1%
5 1376
 
13.8%
6 1767
 
17.7%
7 14
 
0.1%
8 304
 
3.0%
9 5
 
0.1%
10 342
 
3.4%
11 2
 
< 0.1%
ValueCountFrequency (%)
23 1
 
< 0.1%
20 1
 
< 0.1%
19 4
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
15 3
< 0.1%
13 1
 
< 0.1%
12 6
0.1%
11 2
 
< 0.1%

학점
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
9927 
2
 
44
4
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 9927
99.3%
2 44
 
0.4%
4 29
 
0.3%

Length

2023-12-12T14:30:47.192176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:30:47.319812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 9927
99.3%
2 44
 
0.4%
4 29
 
0.3%

급당정원
Real number (ℝ)

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.7828
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:30:47.447755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q140
median40
Q340
95-th percentile40
Maximum40
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.3555695
Coefficient of variation (CV)0.17278645
Kurtosis3.524726
Mean36.7828
Median Absolute Deviation (MAD)0
Skewness-2.0325016
Sum367828
Variance40.393263
MonotonicityNot monotonic
2023-12-12T14:30:47.602634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
40 7512
75.1%
30 1328
 
13.3%
20 491
 
4.9%
35 181
 
1.8%
25 164
 
1.6%
15 80
 
0.8%
36 69
 
0.7%
10 47
 
0.5%
32 23
 
0.2%
12 22
 
0.2%
Other values (15) 83
 
0.8%
ValueCountFrequency (%)
1 1
 
< 0.1%
5 2
 
< 0.1%
9 8
 
0.1%
10 47
 
0.5%
12 22
 
0.2%
14 1
 
< 0.1%
15 80
 
0.8%
16 2
 
< 0.1%
18 1
 
< 0.1%
20 491
4.9%
ValueCountFrequency (%)
40 7512
75.1%
38 13
 
0.1%
37 1
 
< 0.1%
36 69
 
0.7%
35 181
 
1.8%
34 4
 
< 0.1%
32 23
 
0.2%
30 1328
 
13.3%
28 19
 
0.2%
27 5
 
0.1%

학급수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1343
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:30:47.791194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile20
Maximum40
Range39
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.0644819
Coefficient of variation (CV)0.98861842
Kurtosis1.0675386
Mean6.1343
Median Absolute Deviation (MAD)2
Skewness1.5191331
Sum61343
Variance36.777941
MonotonicityNot monotonic
2023-12-12T14:30:47.965621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 2059
20.6%
3 1404
14.0%
20 1251
12.5%
1 1245
12.4%
5 1170
11.7%
4 1084
10.8%
10 644
 
6.4%
6 551
 
5.5%
8 191
 
1.9%
15 190
 
1.9%
Other values (13) 211
 
2.1%
ValueCountFrequency (%)
1 1245
12.4%
2 2059
20.6%
3 1404
14.0%
4 1084
10.8%
5 1170
11.7%
6 551
 
5.5%
7 83
 
0.8%
8 191
 
1.9%
9 26
 
0.3%
10 644
 
6.4%
ValueCountFrequency (%)
40 2
 
< 0.1%
32 2
 
< 0.1%
26 12
 
0.1%
20 1251
12.5%
19 4
 
< 0.1%
18 1
 
< 0.1%
17 3
 
< 0.1%
16 12
 
0.1%
15 190
 
1.9%
14 3
 
< 0.1%

총정원
Real number (ℝ)

HIGH CORRELATION 

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.4079
Minimum10
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:30:48.195363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30
Q180
median120
Q3240
95-th percentile800
Maximum800
Range790
Interquartile range (IQR)160

Descriptive statistics

Standard deviation243.4143
Coefficient of variation (CV)1.0384219
Kurtosis0.92035359
Mean234.4079
Median Absolute Deviation (MAD)80
Skewness1.5155904
Sum2344079
Variance59250.52
MonotonicityNot monotonic
2023-12-12T14:30:48.404629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 1476
14.8%
800 1252
12.5%
120 1220
12.2%
200 986
9.9%
40 858
8.6%
160 764
7.6%
400 558
 
5.6%
60 424
 
4.2%
240 418
 
4.2%
30 304
 
3.0%
Other values (70) 1740
17.4%
ValueCountFrequency (%)
10 25
 
0.2%
12 16
 
0.2%
15 27
 
0.3%
16 2
 
< 0.1%
18 9
 
0.1%
20 155
1.6%
22 3
 
< 0.1%
24 12
 
0.1%
25 8
 
0.1%
27 1
 
< 0.1%
ValueCountFrequency (%)
800 1252
12.5%
780 9
 
0.1%
760 1
 
< 0.1%
720 1
 
< 0.1%
680 3
 
< 0.1%
640 7
 
0.1%
600 194
 
1.9%
560 2
 
< 0.1%
520 19
 
0.2%
480 8
 
0.1%

유효시작일
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-03-01
2758 
2018-03-01
2681 
2019-03-01
2018 
2020-03-01
1508 
2021-01-01
280 
Other values (22)
755 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row2018-03-01
2nd row2018-03-01
3rd row2018-03-01
4th row2019-03-01
5th row2018-03-01

Common Values

ValueCountFrequency (%)
2021-03-01 2758
27.6%
2018-03-01 2681
26.8%
2019-03-01 2018
20.2%
2020-03-01 1508
15.1%
2021-01-01 280
 
2.8%
2020-01-01 186
 
1.9%
2021-02-01 168
 
1.7%
2020-02-01 119
 
1.2%
2019-02-01 84
 
0.8%
2021-09-01 36
 
0.4%
Other values (17) 162
 
1.6%

Length

2023-12-12T14:30:48.592146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-03-01 2758
27.6%
2018-03-01 2681
26.8%
2019-03-01 2018
20.2%
2020-03-01 1508
15.1%
2021-01-01 280
 
2.8%
2020-01-01 186
 
1.9%
2021-02-01 168
 
1.7%
2020-02-01 119
 
1.2%
2019-02-01 84
 
0.8%
2021-09-01 36
 
0.4%
Other values (17) 162
 
1.6%

유효종료일
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-02-28
2681 
2023-02-28
2423 
2024-02-29
2046 
2025-02-28
1815 
2023-12-31
 
221
Other values (23)
814 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row2022-02-28
2nd row2022-02-28
3rd row2022-02-28
4th row2023-02-28
5th row2022-02-28

Common Values

ValueCountFrequency (%)
2022-02-28 2681
26.8%
2023-02-28 2423
24.2%
2024-02-29 2046
20.5%
2025-02-28 1815
18.1%
2023-12-31 221
 
2.2%
2022-12-31 196
 
2.0%
2024-01-31 130
 
1.3%
2023-01-31 123
 
1.2%
2025-01-31 118
 
1.2%
2024-12-31 67
 
0.7%
Other values (18) 180
 
1.8%

Length

2023-12-12T14:30:49.041298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-02-28 2681
26.8%
2023-02-28 2423
24.2%
2024-02-29 2046
20.5%
2025-02-28 1815
18.1%
2023-12-31 221
 
2.2%
2022-12-31 196
 
2.0%
2024-01-31 130
 
1.3%
2023-01-31 123
 
1.2%
2025-01-31 118
 
1.2%
2024-12-31 67
 
0.7%
Other values (18) 180
 
1.8%

Interactions

2023-12-12T14:30:44.283022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:41.955453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.469020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.057590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.697285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:44.381945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.046917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.573300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.196064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.789338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:44.494993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.145835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.657317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.315844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.885746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:44.605547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.251852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.776897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.449761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:44.036228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:44.718004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.364150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:42.890118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:43.572249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:30:44.175333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:30:49.190568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이수기간주당수업시간학점급당정원학급수총정원유효시작일유효종료일
이수기간1.0000.7760.4180.1750.1910.2700.3340.370
주당수업시간0.7761.0000.3110.2810.2410.3370.1200.233
학점0.4180.3111.0000.0530.0330.0300.1270.157
급당정원0.1750.2810.0531.0000.5330.3950.2370.290
학급수0.1910.2410.0330.5331.0000.8950.4720.526
총정원0.2700.3370.0300.3950.8951.0000.4810.523
유효시작일0.3340.1200.1270.2370.4720.4811.0000.993
유효종료일0.3700.2330.1570.2900.5260.5230.9931.000
2023-12-12T14:30:49.370905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유효종료일유효시작일학점
유효종료일1.0000.8770.079
유효시작일0.8771.0000.058
학점0.0790.0581.000
2023-12-12T14:30:49.510723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이수기간주당수업시간급당정원학급수총정원학점유효시작일유효종료일
이수기간1.000-0.795-0.0280.1310.1120.2780.1220.138
주당수업시간-0.7951.000-0.195-0.170-0.1950.1960.0430.085
급당정원-0.028-0.1951.0000.2490.4280.0320.0880.108
학급수0.131-0.1700.2491.0000.9740.0200.2090.233
총정원0.112-0.1950.4280.9741.0000.0180.1950.216
학점0.2780.1960.0320.0200.0181.0000.0580.079
유효시작일0.1220.0430.0880.2090.1950.0581.0000.877
유효종료일0.1380.0850.1080.2330.2160.0790.8771.000

Missing values

2023-12-12T14:30:44.893828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:30:45.065136image/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

기관명학습과정명이수기간주당수업시간학점급당정원학급수총정원유효시작일유효종료일
22479부산과학기술대학교부설평생교육원국토와환경1533401402018-03-012022-02-28
10779경남대학교부설평생교육원자원봉사론1533301302018-03-012022-02-28
22948동방문화대학원대학교부설평생교육원불교문화콘텐츠1543154602018-03-012022-02-28
10893고려대학교부설평생교육원일반수학863402802019-03-012023-02-28
16866동서울대학교부설평생교육원스포츠의이해1533401402018-03-012022-02-28
15241한국조리사관직업전문학교에스프레소추출실습81034052002021-03-012025-02-28
5307서울종합예술실용학교멀티미디어디자인Ⅰ15433051502021-03-012025-02-28
11922동국대학교 DUICA(듀이카)카메라연기Ⅰ15533051502020-03-012024-02-29
5935서울호서직업전문학교시스템프로그래밍15334062402018-03-012022-02-28
9752(재)서울예술실용전문학교인체기능학15334031202018-03-012022-02-28
기관명학습과정명이수기간주당수업시간학점급당정원학급수총정원유효시작일유효종료일
6384수원뷰티실용전문학교실기교육방법론863202402019-03-012023-02-28
10089강남대학교부설평생교육원스포츠영양학15334041602021-03-012025-02-28
5725서울호서직업전문학교공중보건학153340104002018-03-012022-02-28
24148(학)숭실대학교숭실호스피탈리티직업전문학교관광법규8634052002021-02-012025-01-31
23954가천대학교부설평생교육원(메디컬캠퍼스)일상생활동작및실습1543401402018-03-012022-02-28
24201(학)숭실대학교숭실호스피탈리티직업전문학교스포츠영양학8632882242020-02-012024-01-31
20109경희대학교부설글로벌미래교육원공중보건학8634041602019-03-012023-02-28
12953삼육보건대학교(특별과정)미용과건강8634031202018-03-012022-02-28
983육군기계화학교전술학입문15334093602019-02-012023-01-31
2974드림원격평생교육원현대한국사회153340208002021-03-012024-02-29

Duplicate rows

Most frequently occurring

기관명학습과정명이수기간주당수업시간학점급당정원학급수총정원유효시작일유효종료일# duplicates
0(A+)에이플러스교육원사회복지행정론153340208002020-01-012022-12-312
1(A+)에이플러스교육원인간행동과사회환경153340208002020-01-012022-12-312
2(A+)에이플러스교육원청소년복지론153340208002020-01-012022-12-312
3e그린원격평생교육원모바일프로그래밍154340208002020-01-012022-12-312
4e그린원격평생교육원소프트웨어공학153340208002020-01-012022-12-312
5e그린원격평생교육원윈도우즈프로그래밍Ⅰ154340208002020-01-012022-12-312
6대림대학교부설평생교육원태권도Ⅰ1532402802020-03-012024-02-292
7대림대학교부설평생교육원호신술1532402802020-03-012024-02-292
8대전총신평생교육원기초음악이론Ⅰ863401402020-03-012024-02-292
9대전총신평생교육원놀이지도883401402020-03-012024-02-292