Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells26066
Missing cells (%)18.6%
Duplicate rows88
Duplicate rows (%)0.9%
Total size in memory1.2 MiB
Average record size in memory126.0 B

Variable types

Categorical4
Numeric2
Text8

Dataset

Description중장기개방계획에따른 경상남도 경남도립남해대학 데이터자료입니다.(전공, 학년, 반,과목 주, 일자, 강의주제, 강의내용, 교재범위, 수업형태, 일자)
Author경상남도
URLhttps://www.data.go.kr/data/15067655/fileData.do

Alerts

학기구분 has constant value ""Constant
전공 has constant value ""Constant
Dataset has 88 (0.9%) duplicate rowsDuplicates
일자 has 9615 (96.2%) missing valuesMissing
강의주제 has 525 (5.2%) missing valuesMissing
강의내용 has 1034 (10.3%) missing valuesMissing
교재범위 has 4565 (45.6%) missing valuesMissing
수업형태 has 2766 (27.7%) missing valuesMissing
비고 has 7561 (75.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:57:03.692754
Analysis finished2023-12-12 15:57:06.351517
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2006
3994 
2007
3357 
2008
1879 
2005
770 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2007
2nd row2007
3rd row2008
4th row2007
5th row2008

Common Values

ValueCountFrequency (%)
2006 3994
39.9%
2007 3357
33.6%
2008 1879
18.8%
2005 770
 
7.7%

Length

2023-12-13T00:57:06.401922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:06.706429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2006 3994
39.9%
2007 3357
33.6%
2008 1879
18.8%
2005 770
 
7.7%

학기
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5976 
2
4024 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 5976
59.8%
2 4024
40.2%

Length

2023-12-13T00:57:06.788831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:06.870281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5976
59.8%
2 4024
40.2%

학기구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-13T00:57:06.995927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:07.100759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

학과
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2584
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:57:07.188670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2637451
Coefficient of variation (CV)0.53159522
Kurtosis-0.402916
Mean4.2584
Median Absolute Deviation (MAD)2
Skewness0.3900776
Sum42584
Variance5.1245419
MonotonicityNot monotonic
2023-12-13T00:57:07.301111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 1636
16.4%
3 1551
15.5%
2 1317
13.2%
1 1306
13.1%
6 1278
12.8%
7 1259
12.6%
4 1162
11.6%
10 307
 
3.1%
9 140
 
1.4%
8 44
 
0.4%
ValueCountFrequency (%)
1 1306
13.1%
2 1317
13.2%
3 1551
15.5%
4 1162
11.6%
5 1636
16.4%
6 1278
12.8%
7 1259
12.6%
8 44
 
0.4%
9 140
 
1.4%
10 307
 
3.1%
ValueCountFrequency (%)
10 307
 
3.1%
9 140
 
1.4%
8 44
 
0.4%
7 1259
12.6%
6 1278
12.8%
5 1636
16.4%
4 1162
11.6%
3 1551
15.5%
2 1317
13.2%
1 1306
13.1%

전공
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-13T00:57:07.435230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:57:07.535301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

과목
Text

Distinct614
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:57:07.897612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowC70057
2nd rowC40018
3rd rowC50123
4th rowC00020
5th rowC10069
ValueCountFrequency (%)
c30115 62
 
0.6%
c70041 58
 
0.6%
c30119 52
 
0.5%
b50004 52
 
0.5%
c60051 48
 
0.5%
c60042 48
 
0.5%
c70040 48
 
0.5%
a40006 47
 
0.5%
c10016 47
 
0.5%
c50088 44
 
0.4%
Other values (604) 9494
94.9%
2023-12-13T00:57:08.447621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22034
36.7%
C 8180
 
13.6%
1 5734
 
9.6%
2 3586
 
6.0%
5 3256
 
5.4%
3 3145
 
5.2%
6 3109
 
5.2%
7 3070
 
5.1%
4 2810
 
4.7%
9 1698
 
2.8%
Other values (4) 3378
 
5.6%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22034
44.1%
1 5734
 
11.5%
2 3586
 
7.2%
5 3256
 
6.5%
3 3145
 
6.3%
6 3109
 
6.2%
7 3070
 
6.1%
4 2810
 
5.6%
9 1698
 
3.4%
8 1558
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
C 8180
81.8%
A 935
 
9.3%
B 640
 
6.4%
D 245
 
2.5%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 22034
44.1%
1 5734
 
11.5%
2 3586
 
7.2%
5 3256
 
6.5%
3 3145
 
6.3%
6 3109
 
6.2%
7 3070
 
6.1%
4 2810
 
5.6%
9 1698
 
3.4%
8 1558
 
3.1%
Latin
ValueCountFrequency (%)
C 8180
81.8%
A 935
 
9.3%
B 640
 
6.4%
D 245
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22034
36.7%
C 8180
 
13.6%
1 5734
 
9.6%
2 3586
 
6.0%
5 3256
 
5.4%
3 3145
 
5.2%
6 3109
 
5.2%
7 3070
 
5.1%
4 2810
 
4.7%
9 1698
 
2.8%
Other values (4) 3378
 
5.6%

주
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0051
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:57:08.575738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q312
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.3100501
Coefficient of variation (CV)0.53841302
Kurtosis-1.213625
Mean8.0051
Median Absolute Deviation (MAD)4
Skewness0.003064742
Sum80051
Variance18.576532
MonotonicityNot monotonic
2023-12-13T00:57:08.718921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 690
 
6.9%
12 685
 
6.9%
3 683
 
6.8%
13 682
 
6.8%
6 682
 
6.8%
7 677
 
6.8%
14 670
 
6.7%
9 665
 
6.7%
8 658
 
6.6%
5 655
 
6.6%
Other values (5) 3253
32.5%
ValueCountFrequency (%)
1 647
6.5%
2 650
6.5%
3 683
6.8%
4 690
6.9%
5 655
6.6%
6 682
6.8%
7 677
6.8%
8 658
6.6%
9 665
6.7%
10 650
6.5%
ValueCountFrequency (%)
15 652
6.5%
14 670
6.7%
13 682
6.8%
12 685
6.9%
11 654
6.5%
10 650
6.5%
9 665
6.7%
8 658
6.6%
7 677
6.8%
6 682
6.8%

일자
Text

MISSING 

Distinct140
Distinct (%)36.4%
Missing9615
Missing (%)96.2%
Memory size156.2 KiB
2023-12-13T00:57:08.988911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.0155844
Min length1

Characters and Unicode

Total characters1546
Distinct characters19
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)18.4%

Sample

1st row09월 07일
2nd row08월 31일
3rd row13일
4th row11월 02일
5th row2주
ValueCountFrequency (%)
09월 59
 
11.3%
10월 26
 
5.0%
11월 24
 
4.6%
12 19
 
3.6%
07일 19
 
3.6%
12월 18
 
3.4%
05일 17
 
3.3%
02일 14
 
2.7%
30 12
 
2.3%
01일 12
 
2.3%
Other values (105) 302
57.9%
2023-12-13T00:57:09.523882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 307
19.9%
0 240
15.5%
2 181
11.7%
일 158
10.2%
월 137
8.9%
137
8.9%
9 106
 
6.9%
3 57
 
3.7%
8 46
 
3.0%
7 41
 
2.7%
Other values (9) 136
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1084
70.1%
Other Letter 302
 
19.5%
Space Separator 137
 
8.9%
Other Punctuation 14
 
0.9%
Uppercase Letter 8
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 307
28.3%
0 240
22.1%
2 181
16.7%
9 106
 
9.8%
3 57
 
5.3%
8 46
 
4.2%
7 41
 
3.8%
4 38
 
3.5%
6 35
 
3.2%
5 33
 
3.0%
Other Letter
ValueCountFrequency (%)
일 158
52.3%
월 137
45.4%
주 7
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 8
57.1%
. 6
42.9%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
O 4
50.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1236
79.9%
Hangul 302
 
19.5%
Latin 8
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 307
24.8%
0 240
19.4%
2 181
14.6%
137
11.1%
9 106
 
8.6%
3 57
 
4.6%
8 46
 
3.7%
7 41
 
3.3%
4 38
 
3.1%
6 35
 
2.8%
Other values (4) 48
 
3.9%
Hangul
ValueCountFrequency (%)
일 158
52.3%
월 137
45.4%
주 7
 
2.3%
Latin
ValueCountFrequency (%)
N 4
50.0%
O 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1244
80.5%
Hangul 302
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 307
24.7%
0 240
19.3%
2 181
14.5%
137
11.0%
9 106
 
8.5%
3 57
 
4.6%
8 46
 
3.7%
7 41
 
3.3%
4 38
 
3.1%
6 35
 
2.8%
Other values (6) 56
 
4.5%
Hangul
ValueCountFrequency (%)
일 158
52.3%
월 137
45.4%
주 7
 
2.3%

강의주제
Text

MISSING 

Distinct5581
Distinct (%)58.9%
Missing525
Missing (%)5.2%
Memory size156.2 KiB
2023-12-13T00:57:09.889451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length60
Mean length10.646227
Min length1

Characters and Unicode

Total characters100873
Distinct characters791
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3796 ?
Unique (%)40.1%

Sample

1st row기생충과 위생동물
2nd rowGiving directions indoors
3rd row조별 작품 제작 활동4
4th row그룹과제발표
5th row데이터베이스 시스템 개요
ValueCountFrequency (%)
및 591
 
2.5%
기말고사 281
 
1.2%
280
 
1.2%
중간고사 269
 
1.1%
실습 208
 
0.9%
1 207
 
0.9%
2 198
 
0.8%
기초 189
 
0.8%
제 186
 
0.8%
이해 164
 
0.7%
Other values (6663) 21148
89.2%
2023-12-13T00:57:10.516807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15180
 
15.0%
기 2282
 
2.3%
의 1982
 
2.0%
e 1553
 
1.5%
이 1421
 
1.4%
t 1325
 
1.3%
사 1279
 
1.3%
제 1198
 
1.2%
a 1131
 
1.1%
i 1118
 
1.1%
Other values (781) 72404
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60884
60.4%
Space Separator 15180
 
15.0%
Lowercase Letter 12997
 
12.9%
Uppercase Letter 4603
 
4.6%
Decimal Number 3317
 
3.3%
Other Punctuation 1492
 
1.5%
Close Punctuation 945
 
0.9%
Open Punctuation 939
 
0.9%
Dash Punctuation 469
 
0.5%
Math Symbol 36
 
< 0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2282
 
3.7%
의 1982
 
3.3%
이 1421
 
2.3%
사 1279
 
2.1%
제 1198
 
2.0%
리 963
 
1.6%
실 826
 
1.4%
고 794
 
1.3%
스 728
 
1.2%
과 704
 
1.2%
Other values (693) 48707
80.0%
Lowercase Letter
ValueCountFrequency (%)
e 1553
11.9%
t 1325
10.2%
a 1131
 
8.7%
i 1118
 
8.6%
n 1094
 
8.4%
r 1008
 
7.8%
o 982
 
7.6%
s 753
 
5.8%
u 467
 
3.6%
l 440
 
3.4%
Other values (16) 3126
24.1%
Uppercase Letter
ValueCountFrequency (%)
C 490
 
10.6%
P 395
 
8.6%
A 373
 
8.1%
D 362
 
7.9%
S 289
 
6.3%
E 283
 
6.1%
I 277
 
6.0%
T 275
 
6.0%
L 264
 
5.7%
R 224
 
4.9%
Other values (16) 1371
29.8%
Other Punctuation
ValueCountFrequency (%)
, 503
33.7%
. 344
23.1%
/ 189
 
12.7%
: 175
 
11.7%
" 150
 
10.1%
& 68
 
4.6%
! 25
 
1.7%
; 18
 
1.2%
' 9
 
0.6%
· 6
 
0.4%
Other values (3) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 900
27.1%
2 832
25.1%
3 387
11.7%
4 271
 
8.2%
0 247
 
7.4%
5 232
 
7.0%
6 141
 
4.3%
7 114
 
3.4%
8 103
 
3.1%
9 90
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 3
37.5%
Ⅲ 1
 
12.5%
Close Punctuation
ValueCountFrequency (%)
) 924
97.8%
] 21
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 918
97.8%
[ 21
 
2.2%
Math Symbol
ValueCountFrequency (%)
+ 33
91.7%
~ 3
 
8.3%
Space Separator
ValueCountFrequency (%)
15180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 469
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60796
60.3%
Common 22381
 
22.2%
Latin 17608
 
17.5%
Han 88
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2282
 
3.8%
의 1982
 
3.3%
이 1421
 
2.3%
사 1279
 
2.1%
제 1198
 
2.0%
리 963
 
1.6%
실 826
 
1.4%
고 794
 
1.3%
스 728
 
1.2%
과 704
 
1.2%
Other values (682) 48619
80.0%
Latin
ValueCountFrequency (%)
e 1553
 
8.8%
t 1325
 
7.5%
a 1131
 
6.4%
i 1118
 
6.3%
n 1094
 
6.2%
r 1008
 
5.7%
o 982
 
5.6%
s 753
 
4.3%
C 490
 
2.8%
u 467
 
2.7%
Other values (45) 7687
43.7%
Common
ValueCountFrequency (%)
15180
67.8%
) 924
 
4.1%
( 918
 
4.1%
1 900
 
4.0%
2 832
 
3.7%
, 503
 
2.2%
- 469
 
2.1%
3 387
 
1.7%
. 344
 
1.5%
4 271
 
1.2%
Other values (23) 1653
 
7.4%
Han
ValueCountFrequency (%)
字 15
17.0%
音 14
15.9%
四 8
9.1%
成 8
9.1%
語 8
9.1%
同 7
8.0%
義 7
8.0%
多 7
8.0%
一 7
8.0%
異 4
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60796
60.3%
ASCII 39975
39.6%
CJK 88
 
0.1%
Number Forms 8
 
< 0.1%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15180
38.0%
e 1553
 
3.9%
t 1325
 
3.3%
a 1131
 
2.8%
i 1118
 
2.8%
n 1094
 
2.7%
r 1008
 
2.5%
o 982
 
2.5%
) 924
 
2.3%
( 918
 
2.3%
Other values (74) 14742
36.9%
Hangul
ValueCountFrequency (%)
기 2282
 
3.8%
의 1982
 
3.3%
이 1421
 
2.3%
사 1279
 
2.1%
제 1198
 
2.0%
리 963
 
1.6%
실 826
 
1.4%
고 794
 
1.3%
스 728
 
1.2%
과 704
 
1.2%
Other values (682) 48619
80.0%
CJK
ValueCountFrequency (%)
字 15
17.0%
音 14
15.9%
四 8
9.1%
成 8
9.1%
語 8
9.1%
同 7
8.0%
義 7
8.0%
多 7
8.0%
一 7
8.0%
異 4
 
4.5%
None
ValueCountFrequency (%)
· 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
50.0%
Ⅰ 3
37.5%
Ⅲ 1
 
12.5%

강의내용
Text

MISSING 

Distinct6932
Distinct (%)77.3%
Missing1034
Missing (%)10.3%
Memory size156.2 KiB
2023-12-13T00:57:10.813578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length203
Median length137
Mean length38.725519
Min length2

Characters and Unicode

Total characters347213
Distinct characters1030
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5673 ?
Unique (%)63.3%

Sample

1st row채소, 어패류 및 육류를 통하여 감염되는 기생충의 생활사 및 위생곤충과 위생동물 각론
2nd row -호텔 건물 내부의 각 시설물에 대한 안내-위치설명을 위한 전치사: into, out of, along-객실 내부 시설물 명치 익히기
3rd row데이터베이스 개념, DBMS, 데이터베이스 구조
4th row8장-13장
5th rowSection10 :: 메소드…157/Section11 :: 메소드 오버로딩…166/Section12 :: 메소드에 값 전달(Argument passing)방법…170/Section13 :: 메소드의 재귀적(Recurisiv) 호출…174
ValueCountFrequency (%)
및 2145
 
2.9%
1924
 
2.6%
1 703
 
0.9%
대한 533
 
0.7%
이해 334
 
0.4%
and 314
 
0.4%
실습 306
 
0.4%
만들기 297
 
0.4%
종류 293
 
0.4%
대해 284
 
0.4%
Other values (20414) 67420
90.4%
2023-12-13T00:57:11.345052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68892
 
19.8%
의 7672
 
2.2%
, 6461
 
1.9%
기 5295
 
1.5%
. 5207
 
1.5%
e 4226
 
1.2%
이 4186
 
1.2%
- 3414
 
1.0%
a 3215
 
0.9%
i 3188
 
0.9%
Other values (1020) 235457
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204725
59.0%
Space Separator 68892
 
19.8%
Lowercase Letter 36078
 
10.4%
Other Punctuation 16200
 
4.7%
Uppercase Letter 9220
 
2.7%
Decimal Number 6381
 
1.8%
Dash Punctuation 3414
 
1.0%
Close Punctuation 1060
 
0.3%
Open Punctuation 992
 
0.3%
Math Symbol 178
 
0.1%
Other values (4) 73
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 7672
 
3.7%
기 5295
 
2.6%
이 4186
 
2.0%
한 3146
 
1.5%
하 2675
 
1.3%
에 2651
 
1.3%
리 2613
 
1.3%
사 2542
 
1.2%
제 2449
 
1.2%
습 2399
 
1.2%
Other values (926) 169097
82.6%
Lowercase Letter
ValueCountFrequency (%)
e 4226
11.7%
a 3215
 
8.9%
i 3188
 
8.8%
n 3017
 
8.4%
t 2936
 
8.1%
o 2818
 
7.8%
r 2626
 
7.3%
s 2156
 
6.0%
c 1666
 
4.6%
l 1403
 
3.9%
Other values (16) 8827
24.5%
Uppercase Letter
ValueCountFrequency (%)
C 1082
 
11.7%
S 895
 
9.7%
P 789
 
8.6%
A 611
 
6.6%
D 611
 
6.6%
T 596
 
6.5%
I 549
 
6.0%
R 483
 
5.2%
M 426
 
4.6%
L 417
 
4.5%
Other values (16) 2761
29.9%
Other Punctuation
ValueCountFrequency (%)
, 6461
39.9%
. 5207
32.1%
/ 2763
17.1%
: 748
 
4.6%
* 512
 
3.2%
' 164
 
1.0%
… 148
 
0.9%
" 70
 
0.4%
& 42
 
0.3%
; 36
 
0.2%
Other values (6) 49
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1747
27.4%
2 1572
24.6%
3 996
15.6%
4 531
 
8.3%
0 475
 
7.4%
5 340
 
5.3%
6 235
 
3.7%
7 184
 
2.9%
8 182
 
2.9%
9 119
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 78
43.8%
+ 42
23.6%
> 27
 
15.2%
< 26
 
14.6%
= 4
 
2.2%
～ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1001
94.4%
] 59
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 934
94.2%
[ 58
 
5.8%
Space Separator
ValueCountFrequency (%)
68892
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3414
100.0%
Control
ValueCountFrequency (%)
67
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204646
58.9%
Common 97190
28.0%
Latin 45298
 
13.0%
Han 79
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 7672
 
3.7%
기 5295
 
2.6%
이 4186
 
2.0%
한 3146
 
1.5%
하 2675
 
1.3%
에 2651
 
1.3%
리 2613
 
1.3%
사 2542
 
1.2%
제 2449
 
1.2%
습 2399
 
1.2%
Other values (902) 169018
82.6%
Latin
ValueCountFrequency (%)
e 4226
 
9.3%
a 3215
 
7.1%
i 3188
 
7.0%
n 3017
 
6.7%
t 2936
 
6.5%
o 2818
 
6.2%
r 2626
 
5.8%
s 2156
 
4.8%
c 1666
 
3.7%
l 1403
 
3.1%
Other values (42) 18047
39.8%
Common
ValueCountFrequency (%)
68892
70.9%
, 6461
 
6.6%
. 5207
 
5.4%
- 3414
 
3.5%
/ 2763
 
2.8%
1 1747
 
1.8%
2 1572
 
1.6%
) 1001
 
1.0%
3 996
 
1.0%
( 934
 
1.0%
Other values (32) 4203
 
4.3%
Han
ValueCountFrequency (%)
是 9
 
11.4%
了 7
 
8.9%
兒 6
 
7.6%
的 6
 
7.6%
一 5
 
6.3%
還 5
 
6.3%
文 4
 
5.1%
要 4
 
5.1%
給 3
 
3.8%
字 3
 
3.8%
Other values (14) 27
34.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204606
58.9%
ASCII 142309
41.0%
Punctuation 148
 
< 0.1%
CJK 79
 
< 0.1%
Compat Jamo 40
 
< 0.1%
None 31
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68892
48.4%
, 6461
 
4.5%
. 5207
 
3.7%
e 4226
 
3.0%
- 3414
 
2.4%
a 3215
 
2.3%
i 3188
 
2.2%
n 3017
 
2.1%
t 2936
 
2.1%
o 2818
 
2.0%
Other values (79) 38935
27.4%
Hangul
ValueCountFrequency (%)
의 7672
 
3.7%
기 5295
 
2.6%
이 4186
 
2.0%
한 3146
 
1.5%
하 2675
 
1.3%
에 2651
 
1.3%
리 2613
 
1.3%
사 2542
 
1.2%
제 2449
 
1.2%
습 2399
 
1.2%
Other values (897) 168978
82.6%
Punctuation
ValueCountFrequency (%)
… 148
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 35
87.5%
ㄱ 2
 
5.0%
ㅇ 1
 
2.5%
ㄴ 1
 
2.5%
ㅝ 1
 
2.5%
None
ValueCountFrequency (%)
＊ 20
64.5%
· 5
 
16.1%
／ 5
 
16.1%
～ 1
 
3.2%
CJK
ValueCountFrequency (%)
是 9
 
11.4%
了 7
 
8.9%
兒 6
 
7.6%
的 6
 
7.6%
一 5
 
6.3%
還 5
 
6.3%
文 4
 
5.1%
要 4
 
5.1%
給 3
 
3.8%
字 3
 
3.8%
Other values (14) 27
34.2%

교재범위
Text

MISSING 

Distinct3960
Distinct (%)72.9%
Missing4565
Missing (%)45.6%
Memory size156.2 KiB
2023-12-13T00:57:11.628487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length55
Mean length8.9442502
Min length1

Characters and Unicode

Total characters48612
Distinct characters347
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

Unique3141 ?
Unique (%)57.8%

Sample

1st row186-202
2nd row44-45
3rd rowpp.225-477
4th row162 page - 181 page
5th row95 - 106 page
ValueCountFrequency (%)
836
 
8.0%
p 547
 
5.2%
pp 436
 
4.1%
page 255
 
2.4%
제 151
 
1.4%
페이지 96
 
0.9%
chapter 87
 
0.8%
유인물 87
 
0.8%
교재 57
 
0.5%
1 55
 
0.5%
Other values (3969) 7907
75.2%
2023-12-13T00:57:12.067086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5272
 
10.8%
1 4768
 
9.8%
2 3496
 
7.2%
p 3125
 
6.4%
- 3069
 
6.3%
3 2626
 
5.4%
4 2042
 
4.2%
5 1945
 
4.0%
0 1774
 
3.6%
6 1704
 
3.5%
Other values (337) 18791
38.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23015
47.3%
Other Letter 6652
 
13.7%
Lowercase Letter 6307
 
13.0%
Space Separator 5272
 
10.8%
Dash Punctuation 3069
 
6.3%
Other Punctuation 1756
 
3.6%
Math Symbol 1323
 
2.7%
Uppercase Letter 1100
 
2.3%
Close Punctuation 58
 
0.1%
Open Punctuation 58
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 596
 
9.0%
제 485
 
7.3%
재 226
 
3.4%
교 198
 
3.0%
이 179
 
2.7%
지 171
 
2.6%
강 152
 
2.3%
페 148
 
2.2%
물 143
 
2.1%
인 138
 
2.1%
Other values (273) 4216
63.4%
Lowercase Letter
ValueCountFrequency (%)
p 3125
49.5%
e 705
 
11.2%
a 633
 
10.0%
g 475
 
7.5%
t 254
 
4.0%
s 190
 
3.0%
r 169
 
2.7%
h 121
 
1.9%
n 109
 
1.7%
o 106
 
1.7%
Other values (11) 420
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
P 740
67.3%
C 78
 
7.1%
A 45
 
4.1%
R 37
 
3.4%
T 33
 
3.0%
S 28
 
2.5%
D 25
 
2.3%
L 24
 
2.2%
Y 22
 
2.0%
U 18
 
1.6%
Other values (10) 50
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 4768
20.7%
2 3496
15.2%
3 2626
11.4%
4 2042
8.9%
5 1945
8.5%
0 1774
 
7.7%
6 1704
 
7.4%
7 1588
 
6.9%
9 1552
 
6.7%
8 1520
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 1248
71.1%
, 415
 
23.6%
: 72
 
4.1%
/ 13
 
0.7%
" 4
 
0.2%
& 4
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 1317
99.5%
～ 6
 
0.5%
Space Separator
ValueCountFrequency (%)
5272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3069
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34553
71.1%
Latin 7407
 
15.2%
Hangul 6652
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 596
 
9.0%
제 485
 
7.3%
재 226
 
3.4%
교 198
 
3.0%
이 179
 
2.7%
지 171
 
2.6%
강 152
 
2.3%
페 148
 
2.2%
물 143
 
2.1%
인 138
 
2.1%
Other values (273) 4216
63.4%
Latin
ValueCountFrequency (%)
p 3125
42.2%
P 740
 
10.0%
e 705
 
9.5%
a 633
 
8.5%
g 475
 
6.4%
t 254
 
3.4%
s 190
 
2.6%
r 169
 
2.3%
h 121
 
1.6%
n 109
 
1.5%
Other values (31) 886
 
12.0%
Common
ValueCountFrequency (%)
5272
15.3%
1 4768
13.8%
2 3496
10.1%
- 3069
8.9%
3 2626
7.6%
4 2042
 
5.9%
5 1945
 
5.6%
0 1774
 
5.1%
6 1704
 
4.9%
7 1588
 
4.6%
Other values (13) 6269
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41954
86.3%
Hangul 6652
 
13.7%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5272
12.6%
1 4768
 
11.4%
2 3496
 
8.3%
p 3125
 
7.4%
- 3069
 
7.3%
3 2626
 
6.3%
4 2042
 
4.9%
5 1945
 
4.6%
0 1774
 
4.2%
6 1704
 
4.1%
Other values (53) 12133
28.9%
Hangul
ValueCountFrequency (%)
장 596
 
9.0%
제 485
 
7.3%
재 226
 
3.4%
교 198
 
3.0%
이 179
 
2.7%
지 171
 
2.6%
강 152
 
2.3%
페 148
 
2.2%
물 143
 
2.1%
인 138
 
2.1%
Other values (273) 4216
63.4%
None
ValueCountFrequency (%)
～ 6
100.0%

수업형태
Text

MISSING 

Distinct884
Distinct (%)12.2%
Missing2766
Missing (%)27.7%
Memory size156.2 KiB
2023-12-13T00:57:12.428875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length7.8765552
Min length1

Characters and Unicode

Total characters56979
Distinct characters332
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)5.6%

Sample

1st rowPPT 자료 활용 강의
2nd row강의 및 발표수업
3rd row주관식 필답고사/프로젝트 결과발표
4th row판서
5th row강의 및 실습
ValueCountFrequency (%)
강의 2635
 
15.6%
및 2258
 
13.4%
실습 2001
 
11.8%
이론 1094
 
6.5%
토론 608
 
3.6%
발표 579
 
3.4%
판서 408
 
2.4%
이론강의 204
 
1.2%
ppt 193
 
1.1%
강의식 181
 
1.1%
Other values (644) 6742
39.9%
2023-12-13T00:57:12.984354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10047
17.6%
의 3918
 
6.9%
강 3598
 
6.3%
실 2979
 
5.2%
습 2821
 
5.0%
론 2521
 
4.4%
, 2446
 
4.3%
및 2372
 
4.2%
이 2308
 
4.1%
발 823
 
1.4%
Other values (322) 23146
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36581
64.2%
Space Separator 10047
 
17.6%
Lowercase Letter 5409
 
9.5%
Other Punctuation 3051
 
5.4%
Uppercase Letter 1222
 
2.1%
Decimal Number 189
 
0.3%
Open Punctuation 154
 
0.3%
Close Punctuation 154
 
0.3%
Math Symbol 101
 
0.2%
Dash Punctuation 71
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3918
 
10.7%
강 3598
 
9.8%
실 2979
 
8.1%
습 2821
 
7.7%
론 2521
 
6.9%
및 2372
 
6.5%
이 2308
 
6.3%
발 823
 
2.2%
표 817
 
2.2%
토 739
 
2.0%
Other values (253) 13685
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 733
13.6%
t 606
11.2%
i 510
9.4%
a 493
9.1%
p 479
8.9%
r 435
8.0%
n 411
7.6%
c 337
 
6.2%
u 200
 
3.7%
g 199
 
3.7%
Other values (16) 1006
18.6%
Uppercase Letter
ValueCountFrequency (%)
P 292
23.9%
T 161
13.2%
L 153
12.5%
H 115
 
9.4%
O 101
 
8.3%
R 61
 
5.0%
A 45
 
3.7%
D 45
 
3.7%
V 42
 
3.4%
F 34
 
2.8%
Other values (10) 173
14.2%
Decimal Number
ValueCountFrequency (%)
1 78
41.3%
2 62
32.8%
3 28
 
14.8%
8 6
 
3.2%
0 3
 
1.6%
4 3
 
1.6%
6 3
 
1.6%
5 3
 
1.6%
7 2
 
1.1%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 2446
80.2%
/ 373
 
12.2%
. 109
 
3.6%
& 59
 
1.9%
: 35
 
1.1%
· 15
 
0.5%
; 14
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 100
99.0%
~ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
10047
100.0%
Open Punctuation
ValueCountFrequency (%)
( 154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36581
64.2%
Common 13767
 
24.2%
Latin 6631
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3918
 
10.7%
강 3598
 
9.8%
실 2979
 
8.1%
습 2821
 
7.7%
론 2521
 
6.9%
및 2372
 
6.5%
이 2308
 
6.3%
발 823
 
2.2%
표 817
 
2.2%
토 739
 
2.0%
Other values (253) 13685
37.4%
Latin
ValueCountFrequency (%)
e 733
 
11.1%
t 606
 
9.1%
i 510
 
7.7%
a 493
 
7.4%
p 479
 
7.2%
r 435
 
6.6%
n 411
 
6.2%
c 337
 
5.1%
P 292
 
4.4%
u 200
 
3.0%
Other values (36) 2135
32.2%
Common
ValueCountFrequency (%)
10047
73.0%
, 2446
 
17.8%
/ 373
 
2.7%
( 154
 
1.1%
) 154
 
1.1%
. 109
 
0.8%
+ 100
 
0.7%
1 78
 
0.6%
- 71
 
0.5%
2 62
 
0.5%
Other values (13) 173
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36581
64.2%
ASCII 20383
35.8%
None 15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10047
49.3%
, 2446
 
12.0%
e 733
 
3.6%
t 606
 
3.0%
i 510
 
2.5%
a 493
 
2.4%
p 479
 
2.3%
r 435
 
2.1%
n 411
 
2.0%
/ 373
 
1.8%
Other values (58) 3850
 
18.9%
Hangul
ValueCountFrequency (%)
의 3918
 
10.7%
강 3598
 
9.8%
실 2979
 
8.1%
습 2821
 
7.7%
론 2521
 
6.9%
및 2372
 
6.5%
이 2308
 
6.3%
발 823
 
2.2%
표 817
 
2.2%
토 739
 
2.0%
Other values (253) 13685
37.4%
None
ValueCountFrequency (%)
· 15
100.0%

비고
Text

MISSING 

Distinct822
Distinct (%)33.7%
Missing7561
Missing (%)75.6%
Memory size156.2 KiB
2023-12-13T00:57:13.246103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length53
Mean length14.315293
Min length1

Characters and Unicode

Total characters34915
Distinct characters519
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)21.4%

Sample

1st row주요어휘 정리 및 토익 리스닝 테스트 (파트에 한정하여 실시)
2nd row-
3rd row개발 실무 분석
4th row기출 예상문제 문제풀이 Report
5th row알종류, 전복이야기
ValueCountFrequency (%)
및 319
 
3.8%
195
 
2.3%
예습 169
 
2.0%
복습 167
 
2.0%
실습일지 158
 
1.9%
작성 158
 
1.9%
발표 124
 
1.5%
학습 118
 
1.4%
연습문제 114
 
1.4%
제출 98
 
1.2%
Other values (1458) 6697
80.5%
2023-12-13T00:57:13.717340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6130
 
17.6%
습 1257
 
3.6%
제 1080
 
3.1%
실 608
 
1.7%
, 580
 
1.7%
기 547
 
1.6%
문 502
 
1.4%
과 419
 
1.2%
a 414
 
1.2%
시 396
 
1.1%
Other values (509) 22982
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22289
63.8%
Space Separator 6130
 
17.6%
Lowercase Letter 3297
 
9.4%
Other Punctuation 1074
 
3.1%
Uppercase Letter 1068
 
3.1%
Decimal Number 470
 
1.3%
Open Punctuation 218
 
0.6%
Close Punctuation 218
 
0.6%
Dash Punctuation 132
 
0.4%
Math Symbol 19
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
습 1257
 
5.6%
제 1080
 
4.8%
실 608
 
2.7%
기 547
 
2.5%
문 502
 
2.3%
과 419
 
1.9%
시 396
 
1.8%
사 384
 
1.7%
지 380
 
1.7%
연 377
 
1.7%
Other values (440) 16339
73.3%
Lowercase Letter
ValueCountFrequency (%)
a 414
12.6%
e 366
11.1%
i 279
8.5%
r 276
8.4%
t 269
 
8.2%
o 263
 
8.0%
p 245
 
7.4%
m 178
 
5.4%
u 170
 
5.2%
n 150
 
4.5%
Other values (16) 687
20.8%
Uppercase Letter
ValueCountFrequency (%)
P 226
21.2%
C 173
16.2%
D 104
9.7%
T 93
8.7%
W 87
 
8.1%
L 73
 
6.8%
A 73
 
6.8%
R 69
 
6.5%
M 45
 
4.2%
S 38
 
3.6%
Other values (10) 87
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 137
29.1%
2 69
14.7%
0 52
 
11.1%
3 51
 
10.9%
5 42
 
8.9%
4 40
 
8.5%
7 25
 
5.3%
9 23
 
4.9%
6 17
 
3.6%
8 14
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 580
54.0%
/ 191
 
17.8%
. 133
 
12.4%
: 104
 
9.7%
& 32
 
3.0%
* 23
 
2.1%
; 9
 
0.8%
" 2
 
0.2%
Space Separator
ValueCountFrequency (%)
6130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22289
63.8%
Common 8261
 
23.7%
Latin 4365
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
습 1257
 
5.6%
제 1080
 
4.8%
실 608
 
2.7%
기 547
 
2.5%
문 502
 
2.3%
과 419
 
1.9%
시 396
 
1.8%
사 384
 
1.7%
지 380
 
1.7%
연 377
 
1.7%
Other values (440) 16339
73.3%
Latin
ValueCountFrequency (%)
a 414
 
9.5%
e 366
 
8.4%
i 279
 
6.4%
r 276
 
6.3%
t 269
 
6.2%
o 263
 
6.0%
p 245
 
5.6%
P 226
 
5.2%
m 178
 
4.1%
C 173
 
4.0%
Other values (36) 1676
38.4%
Common
ValueCountFrequency (%)
6130
74.2%
, 580
 
7.0%
( 218
 
2.6%
) 218
 
2.6%
/ 191
 
2.3%
1 137
 
1.7%
. 133
 
1.6%
- 132
 
1.6%
: 104
 
1.3%
2 69
 
0.8%
Other values (13) 349
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22289
63.8%
ASCII 12626
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6130
48.6%
, 580
 
4.6%
a 414
 
3.3%
e 366
 
2.9%
i 279
 
2.2%
r 276
 
2.2%
t 269
 
2.1%
o 263
 
2.1%
p 245
 
1.9%
P 226
 
1.8%
Other values (59) 3578
28.3%
Hangul
ValueCountFrequency (%)
습 1257
 
5.6%
제 1080
 
4.8%
실 608
 
2.7%
기 547
 
2.5%
문 502
 
2.3%
과 419
 
1.9%
시 396
 
1.8%
사 384
 
1.7%
지 380
 
1.7%
연 377
 
1.7%
Other values (440) 16339
73.3%

SYS_DATE
Text

Distinct1173
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T00:57:14.049968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length21.2801
Min length21

Characters and Unicode

Total characters212801
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)0.2%

Sample

1st row2007-03-01 오후 2:42:22
2nd row2007-08-18 오후 2:34:40
3rd row2008-03-03 오후 12:15:51
4th row2007-08-20 오전 1:41:34
5th row2008-03-18 오전 11:19:21
ValueCountFrequency (%)
오후 7437
24.8%
오전 2563
 
8.5%
2006-02-24 804
 
2.7%
2006-02-23 734
 
2.4%
2006-08-16 490
 
1.6%
2006-08-17 464
 
1.5%
2007-08-17 387
 
1.3%
2008-03-05 381
 
1.3%
2007-02-16 348
 
1.2%
2007-03-01 345
 
1.1%
Other values (1239) 16047
53.5%
2023-12-13T00:57:14.543876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38698
18.2%
2 24801
11.7%
- 20000
9.4%
20000
9.4%
: 20000
9.4%
1 15007
 
7.1%
오 10000
 
4.7%
3 9796
 
4.6%
8 9048
 
4.3%
6 8492
 
4.0%
Other values (6) 36959
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132801
62.4%
Dash Punctuation 20000
 
9.4%
Space Separator 20000
 
9.4%
Other Punctuation 20000
 
9.4%
Other Letter 20000
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 38698
29.1%
2 24801
18.7%
1 15007
 
11.3%
3 9796
 
7.4%
8 9048
 
6.8%
6 8492
 
6.4%
4 8454
 
6.4%
5 8115
 
6.1%
7 7587
 
5.7%
9 2803
 
2.1%
Other Letter
ValueCountFrequency (%)
오 10000
50.0%
후 7437
37.2%
전 2563
 
12.8%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
20000
100.0%
Other Punctuation
ValueCountFrequency (%)
: 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192801
90.6%
Hangul 20000
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38698
20.1%
2 24801
12.9%
- 20000
10.4%
20000
10.4%
: 20000
10.4%
1 15007
 
7.8%
3 9796
 
5.1%
8 9048
 
4.7%
6 8492
 
4.4%
4 8454
 
4.4%
Other values (3) 18505
9.6%
Hangul
ValueCountFrequency (%)
오 10000
50.0%
후 7437
37.2%
전 2563
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192801
90.6%
Hangul 20000
 
9.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38698
20.1%
2 24801
12.9%
- 20000
10.4%
20000
10.4%
: 20000
10.4%
1 15007
 
7.8%
3 9796
 
5.1%
8 9048
 
4.7%
6 8492
 
4.4%
4 8454
 
4.4%
Other values (3) 18505
9.6%
Hangul
ValueCountFrequency (%)
오 10000
50.0%
후 7437
37.2%
전 2563
 
12.8%

Interactions

2023-12-13T00:57:05.709274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:05.534115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:05.785054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:57:05.619775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:57:14.650070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학기학과주
년도1.0000.6760.2910.000
학기0.6761.0000.1370.000
학과0.2910.1371.0000.000
주0.0000.0000.0001.000
2023-12-13T00:57:14.753612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학기
년도1.0000.476
학기0.4761.000
2023-12-13T00:57:14.853637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학과주년도학기
학과1.0000.0070.1770.105
주0.0071.0000.0000.000
년도0.1770.0001.0000.476
학기0.1050.0000.4761.000

Missing values

2023-12-13T00:57:05.908499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:57:06.093083image/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.
2023-12-13T00:57:06.270487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

년도학기학기구분학과전공과목주일자강의주제강의내용교재범위수업형태비고SYS_DATE
910620071170C7005710<NA>기생충과 위생동물채소, 어패류 및 육류를 통하여 감염되는 기생충의 생활사 및 위생곤충과 위생동물 각론186-202PPT 자료 활용 강의<NA>2007-03-01 오후 2:42:22
1214420072140C400187<NA>Giving directions indoors-호텔 건물 내부의 각 시설물에 대한 안내-위치설명을 위한 전치사: into, out of, along-객실 내부 시설물 명치 익히기44-45강의 및 발표수업주요어휘 정리 및 토익 리스닝 테스트 (파트에 한정하여 실시)2007-08-18 오후 2:34:40
1390320081150C5012310<NA>조별 작품 제작 활동4<NA><NA><NA><NA>2008-03-03 오후 12:15:51
12342200721100C0002014<NA>그룹과제발표<NA><NA><NA><NA>2007-08-20 오전 1:41:34
1613820081110C100691<NA>데이터베이스 시스템 개요데이터베이스 개념, DBMS, 데이터베이스 구조<NA><NA><NA>2008-03-18 오전 11:19:21
1071320072110C1001115<NA>기말고사8장-13장pp.225-477주관식 필답고사/프로젝트 결과발표-2007-08-15 오전 10:05:36
1593520081120B200209<NA>고차방정식<NA><NA><NA><NA>2008-03-14 오후 12:54:05
1044620071110C100297<NA>클래스Section10 :: 메소드…157/Section11 :: 메소드 오버로딩…166/Section12 :: 메소드에 값 전달(Argument passing)방법…170/Section13 :: 메소드의 재귀적(Recurisiv) 호출…174<NA><NA>개발 실무 분석2007-02-28 오후 4:34:43
1391720081130C301157<NA>평판측량평판측량의 개요 및 정치방법 그리고 측량방법162 page - 181 page판서기출 예상문제 문제풀이 Report2008-03-03 오후 2:04:38
884520071130C301198<NA>뒷부벽식 옹벽설계방법95 - 106 page강의 및 실습<NA>2007-02-15 오후 7:54:26
년도학기학기구분학과전공과목주일자강의주제강의내용교재범위수업형태비고SYS_DATE
1297020072150A5000912<NA>포인터포인터 배열, 이중 포인터183-203강의 및 실습<NA>2007-08-24 오후 4:54:48
669420062160C600756<NA>모의면접실전 면접과 같은 분위기에서 갖는 모의 면접 및 평가와 피드백<NA>실습<NA>2006-08-16 오후 8:04:06
417820061130C301184<NA>하천의 흐름장마의 원인, 집중호우의 원인, 강우량의 관측39-47강의 및 토론<NA>2006-02-24 오후 8:42:31
325920061150C500791<NA>제 1장: 전력 사업의 개요제 1절: 전력 사업의 변천제 2절: 외국의 전력 사업 현황page: 1~10이론강의<NA>2006-02-27 오전 10:42:58
332120061150C5008311<NA>직류전력제어 실습- 체강 쵸퍼회로(강압쵸퍼회로) 제작 실습- 체승 쵸퍼회로(승압 쵸퍼회로) 제작 실습pp135~148실습<NA>2006-02-24 오전 11:54:50
1596020081150A5001110<NA>이차함수<NA><NA><NA><NA>2008-03-14 오후 12:54:24
195520061110C1002910<NA>인터페이스와 패키지<NA><NA>PPT, 실습<NA>2006-02-23 오전 9:58:41
1554120081150C501262<NA>제도의 기본(도면, 선과 글자, 도면의 크기와 척도)1) 이론 : 제도의 의의, 기계제도의 중요성 및 제도의 규격, 도면의 종류, 제 도용 기구와 사용법 2) 실습 : AutoCAD 기본개념, 화면메뉴, 기본특성P7-20OHP, PC, Beam Projector<NA>2008-03-06 오후 5:56:32
1210420072120C2013510<NA>HATCH 명령과 도면의 척도Hatch의 이용과 수정을 통해 형상의 단면과 재질 표시/현척, 축척, 배척도면의 표준도면 만드는 법과 도면 관리/축척도면 예제 1003번 그리기page38~40이론과 실기<NA>2007-08-18 오전 10:25:30
1509120081120B2001612<NA>출력출력에 필요한 창 작업, 페이지 설정/페이지 나누기, 인쇄 미리보기/인쇄영역/인쇄2부 4장강의 및 실습<NA>2008-03-05 오후 7:47:04

Duplicate rows

Most frequently occurring

년도학기학기구분학과전공과목주일자강의주제강의내용교재범위수업형태비고SYS_DATE# duplicates
020051150C500031<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
120051150C500036<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
220051150C500037<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
320051150C500038<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
420051150C500039<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
520051150C5000310<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
620051150C5000314<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
720051150C5000315<NA><NA><NA><NA><NA><NA>2005-06-16 오후 1:35:072
820051160A60001812<NA>12-----------------<NA><NA><NA>2005-03-16 오후 3:33:002
920051160A600011012<NA>12-------------<NA>12<NA>2005-03-16 오후 3:33:002