Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells44405
Missing cells (%)34.2%
Duplicate rows2198
Duplicate rows (%)22.0%
Total size in memory1.1 MiB
Average record size in memory117.0 B

Variable types

Numeric3
Categorical5
Text5

Dataset

Description경상남도_도립거창대학교강의계획서(주별상세) 데이터입니다. (학과코드,전공코드,학년, 내용, 실습기자재 등의 데이터를 포함하고있습니다.)
Author경상남도
URLhttps://www.data.go.kr/data/15049411/fileData.do

Alerts

과정종류 has constant value ""Constant
Dataset has 2198 (22.0%) duplicate rowsDuplicates
전공코드 is highly overall correlated with 과목반High correlation
과목반 is highly overall correlated with 전공코드High correlation
전공코드 is highly imbalanced (65.7%)Imbalance
내용 has 7395 (74.0%) missing valuesMissing
실습기자재 has 8550 (85.5%) missing valuesMissing
주사용재료 has 9769 (97.7%) missing valuesMissing
NCS능력단위요소명 has 9966 (99.7%) missing valuesMissing
수행준거 has 8725 (87.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:45:46.614711
Analysis finished2023-12-12 03:45:51.001043
Duration4.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.5959
Minimum2014
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:45:51.083102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile2014
Q12015
median2017
Q32018
95-th percentile2019
Maximum2019
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.710525
Coefficient of variation (CV)0.00084822398
Kurtosis-1.2676994
Mean2016.5959
Median Absolute Deviation (MAD)1
Skewness-0.075830304
Sum20165959
Variance2.9258958
MonotonicityNot monotonic
2023-12-12T12:45:51.259376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 1814
18.1%
2017 1743
17.4%
2018 1736
17.4%
2015 1602
16.0%
2016 1557
15.6%
2014 1548
15.5%
ValueCountFrequency (%)
2014 1548
15.5%
2015 1602
16.0%
2016 1557
15.6%
2017 1743
17.4%
2018 1736
17.4%
2019 1814
18.1%
ValueCountFrequency (%)
2019 1814
18.1%
2018 1736
17.4%
2017 1743
17.4%
2016 1557
15.6%
2015 1602
16.0%
2014 1548
15.5%

학과코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8919
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:45:51.467702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q312
95-th percentile14
Maximum42
Range41
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.4362577
Coefficient of variation (CV)0.56212797
Kurtosis3.6826728
Mean7.8919
Median Absolute Deviation (MAD)4
Skewness0.7153588
Sum78919
Variance19.680382
MonotonicityNot monotonic
2023-12-12T12:45:51.613617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6 1301
13.0%
14 1271
12.7%
5 1203
12.0%
11 869
8.7%
1 851
8.5%
8 662
6.6%
12 611
 
6.1%
7 608
 
6.1%
13 556
 
5.6%
2 494
 
4.9%
Other values (7) 1574
15.7%
ValueCountFrequency (%)
1 851
8.5%
2 494
 
4.9%
3 308
 
3.1%
4 464
 
4.6%
5 1203
12.0%
6 1301
13.0%
7 608
6.1%
8 662
6.6%
9 468
 
4.7%
10 130
 
1.3%
ValueCountFrequency (%)
42 14
 
0.1%
31 4
 
< 0.1%
15 186
 
1.9%
14 1271
12.7%
13 556
5.6%
12 611
6.1%
11 869
8.7%
10 130
 
1.3%
9 468
 
4.7%
8 662
6.6%

전공코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
8189 
1
 
602
2
 
375
3
 
276
12
 
114
Other values (6)
 
444

Length

Max length2
Median length1
Mean length1.0558
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
8189
81.9%
1 602
 
6.0%
2 375
 
3.8%
3 276
 
2.8%
12 114
 
1.1%
22 98
 
1.0%
32 93
 
0.9%
11 81
 
0.8%
21 68
 
0.7%
31 56
 
0.6%

Length

2023-12-12T12:45:51.775058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 602
33.2%
2 375
20.7%
3 276
15.2%
12 114
 
6.3%
22 98
 
5.4%
32 93
 
5.1%
11 81
 
4.5%
21 68
 
3.8%
31 56
 
3.1%
10 48
 
2.7%

학년
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4856 
2
4607 
3
 
438
4
 
99

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4856
48.6%
2 4607
46.1%
3 438
 
4.4%
4 99
 
1.0%

Length

2023-12-12T12:45:51.928437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:52.052756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4856
48.6%
2 4607
46.1%
3 438
 
4.4%
4 99
 
1.0%

학기
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5213 
2
4787 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5213
52.1%
2 4787
47.9%

Length

2023-12-12T12:45:52.213401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:52.355919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5213
52.1%
2 4787
47.9%

과목반
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
7592 
B
2040 
C
 
368

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB
2nd rowA
3rd rowA
4th rowB
5th rowB

Common Values

ValueCountFrequency (%)
A 7592
75.9%
B 2040
 
20.4%
C 368
 
3.7%

Length

2023-12-12T12:45:52.530452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:52.668335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 7592
75.9%
b 2040
 
20.4%
c 368
 
3.7%

주별내용
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9823
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T12:45:52.792770image/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 deviation4.3215338
Coefficient of variation (CV)0.54138955
Kurtosis-1.2131931
Mean7.9823
Median Absolute Deviation (MAD)4
Skewness0.001064454
Sum79823
Variance18.675654
MonotonicityNot monotonic
2023-12-12T12:45:52.964064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 691
 
6.9%
1 688
 
6.9%
13 687
 
6.9%
5 681
 
6.8%
7 680
 
6.8%
6 672
 
6.7%
12 672
 
6.7%
9 672
 
6.7%
2 665
 
6.7%
11 663
 
6.6%
Other values (5) 3229
32.3%
ValueCountFrequency (%)
1 688
6.9%
2 665
6.7%
3 630
6.3%
4 691
6.9%
5 681
6.8%
6 672
6.7%
7 680
6.8%
8 630
6.3%
9 672
6.7%
10 659
6.6%
ValueCountFrequency (%)
15 648
6.5%
14 662
6.6%
13 687
6.9%
12 672
6.7%
11 663
6.6%
10 659
6.6%
9 672
6.7%
8 630
6.3%
7 680
6.8%
6 672
6.7%

과정종류
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 10000
100.0%

Length

2023-12-12T12:45:53.161495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:45:53.305106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 10000
100.0%

내용
Text

MISSING 

Distinct2097
Distinct (%)80.5%
Missing7395
Missing (%)74.0%
Memory size156.2 KiB
2023-12-12T12:45:53.728209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length304
Median length152
Mean length22.23263
Min length1

Characters and Unicode

Total characters57916
Distinct characters802
Distinct categories19 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1876 ?
Unique (%)72.0%

Sample

1st row1차직무능력평가
2nd row병렬회로 배선하기
3rd row기말고사- 최종과제의 최종검토 및 평가(개인별 성취도 평가)
4th row교류 정류자기의 원리, 구조, 특성
5th row건축물의 3D Modeling_1
ValueCountFrequency (%)
533
 
3.9%
및 509
 
3.7%
실습 169
 
1.2%
이해 140
 
1.0%
1 134
 
1.0%
2 111
 
0.8%
수 89
 
0.6%
기말고사 81
 
0.6%
방법 72
 
0.5%
중간고사 62
 
0.4%
Other values (5459) 11892
86.2%
2023-12-12T12:45:54.759362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10922
 
18.9%
의 1336
 
2.3%
기 1003
 
1.7%
961
 
1.7%
, 922
 
1.6%
이 712
 
1.2%
- 641
 
1.1%
사 614
 
1.1%
. 574
 
1.0%
정 531
 
0.9%
Other values (792) 39700
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37277
64.4%
Space Separator 10950
 
18.9%
Lowercase Letter 2576
 
4.4%
Other Punctuation 1973
 
3.4%
Uppercase Letter 1363
 
2.4%
Decimal Number 1359
 
2.3%
Control 961
 
1.7%
Dash Punctuation 647
 
1.1%
Close Punctuation 370
 
0.6%
Open Punctuation 307
 
0.5%
Other values (9) 133
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1336
 
3.6%
기 1003
 
2.7%
이 712
 
1.9%
사 614
 
1.6%
정 531
 
1.4%
및 518
 
1.4%
과 507
 
1.4%
수 503
 
1.3%
도 426
 
1.1%
한 424
 
1.1%
Other values (676) 30703
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 266
 
10.3%
i 244
 
9.5%
n 223
 
8.7%
t 221
 
8.6%
o 216
 
8.4%
r 198
 
7.7%
a 173
 
6.7%
s 115
 
4.5%
l 114
 
4.4%
g 95
 
3.7%
Other values (16) 711
27.6%
Uppercase Letter
ValueCountFrequency (%)
C 151
 
11.1%
D 136
 
10.0%
A 129
 
9.5%
P 101
 
7.4%
S 97
 
7.1%
T 79
 
5.8%
E 76
 
5.6%
L 70
 
5.1%
O 67
 
4.9%
I 65
 
4.8%
Other values (16) 392
28.8%
Other Punctuation
ValueCountFrequency (%)
, 922
46.7%
. 574
29.1%
: 160
 
8.1%
/ 150
 
7.6%
* 72
 
3.6%
· 27
 
1.4%
& 21
 
1.1%
# 20
 
1.0%
; 8
 
0.4%
¿ 4
 
0.2%
Other values (5) 15
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 457
33.6%
2 393
28.9%
3 176
 
13.0%
4 82
 
6.0%
5 65
 
4.8%
0 49
 
3.6%
9 38
 
2.8%
7 34
 
2.5%
8 34
 
2.5%
6 29
 
2.1%
Letter Number
ValueCountFrequency (%)
Ⅹ 16
29.1%
Ⅰ 14
25.5%
Ⅱ 11
20.0%
Ⅲ 5
 
9.1%
Ⅵ 2
 
3.6%
Ⅴ 2
 
3.6%
Ⅳ 2
 
3.6%
Ⅸ 1
 
1.8%
Ⅷ 1
 
1.8%
Ⅶ 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
~ 18
42.9%
> 10
23.8%
< 7
 
16.7%
+ 5
 
11.9%
≪ 1
 
2.4%
≫ 1
 
2.4%
Other Number
ValueCountFrequency (%)
① 3
27.3%
② 3
27.3%
③ 3
27.3%
⑤ 1
 
9.1%
④ 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 366
98.9%
） 3
 
0.8%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 303
98.7%
（ 3
 
1.0%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
10922
99.7%
　 28
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 641
99.1%
－ 6
 
0.9%
Control
ValueCountFrequency (%)
961
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Other Symbol
ValueCountFrequency (%)
● 9
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37270
64.4%
Common 16645
28.7%
Latin 3994
 
6.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1336
 
3.6%
기 1003
 
2.7%
이 712
 
1.9%
사 614
 
1.6%
정 531
 
1.4%
및 518
 
1.4%
과 507
 
1.4%
수 503
 
1.3%
도 426
 
1.1%
한 424
 
1.1%
Other values (670) 30696
82.4%
Latin
ValueCountFrequency (%)
e 266
 
6.7%
i 244
 
6.1%
n 223
 
5.6%
t 221
 
5.5%
o 216
 
5.4%
r 198
 
5.0%
a 173
 
4.3%
C 151
 
3.8%
D 136
 
3.4%
A 129
 
3.2%
Other values (52) 2037
51.0%
Common
ValueCountFrequency (%)
10922
65.6%
961
 
5.8%
, 922
 
5.5%
- 641
 
3.9%
. 574
 
3.4%
1 457
 
2.7%
2 393
 
2.4%
) 366
 
2.2%
( 303
 
1.8%
3 176
 
1.1%
Other values (44) 930
 
5.6%
Han
ValueCountFrequency (%)
下 2
28.6%
夢 1
14.3%
之 1
14.3%
蝶 1
14.3%
胡 1
14.3%
中 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37226
64.3%
ASCII 20481
35.4%
None 79
 
0.1%
Number Forms 55
 
0.1%
Compat Jamo 44
 
0.1%
Enclosed Alphanum 11
 
< 0.1%
Geometric Shapes 9
 
< 0.1%
CJK 7
 
< 0.1%
Math Operators 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10922
53.3%
961
 
4.7%
, 922
 
4.5%
- 641
 
3.1%
. 574
 
2.8%
1 457
 
2.2%
2 393
 
1.9%
) 366
 
1.8%
( 303
 
1.5%
e 266
 
1.3%
Other values (77) 4676
22.8%
Hangul
ValueCountFrequency (%)
의 1336
 
3.6%
기 1003
 
2.7%
이 712
 
1.9%
사 614
 
1.6%
정 531
 
1.4%
및 518
 
1.4%
과 507
 
1.4%
수 503
 
1.4%
도 426
 
1.1%
한 424
 
1.1%
Other values (668) 30652
82.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 42
95.5%
ㄷ 2
 
4.5%
None
ValueCountFrequency (%)
　 28
35.4%
· 27
34.2%
－ 6
 
7.6%
¿ 4
 
5.1%
¡ 4
 
5.1%
） 3
 
3.8%
（ 3
 
3.8%
­ 2
 
2.5%
２ 2
 
2.5%
Number Forms
ValueCountFrequency (%)
Ⅹ 16
29.1%
Ⅰ 14
25.5%
Ⅱ 11
20.0%
Ⅲ 5
 
9.1%
Ⅵ 2
 
3.6%
Ⅴ 2
 
3.6%
Ⅳ 2
 
3.6%
Ⅸ 1
 
1.8%
Ⅷ 1
 
1.8%
Ⅶ 1
 
1.8%
Geometric Shapes
ValueCountFrequency (%)
● 9
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
27.3%
② 3
27.3%
③ 3
27.3%
⑤ 1
 
9.1%
④ 1
 
9.1%
CJK
ValueCountFrequency (%)
下 2
28.6%
夢 1
14.3%
之 1
14.3%
蝶 1
14.3%
胡 1
14.3%
中 1
14.3%
Math Operators
ValueCountFrequency (%)
≪ 1
50.0%
≫ 1
50.0%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

실습기자재
Text

MISSING 

Distinct1144
Distinct (%)78.9%
Missing8550
Missing (%)85.5%
Memory size156.2 KiB
2023-12-12T12:45:55.252378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length55
Mean length37.050345
Min length2

Characters and Unicode

Total characters53723
Distinct characters697
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique948 ?
Unique (%)65.4%

Sample

1st row1.1~1.7
2nd row디테일 설정시 시공성과 기능성을 분석할 수 있어야 한다.
3rd row제작 및 설치 시 안정성, 경제성, 시공성, 기능성을 복합적으로 검토할 수 있어야 한다.
4th row2.3 참조모델에 의한 디지안 시안을 작성, 사이트에 활용한 메인페이지를 스케치할 수 있다.
5th row팀별 프로젝트 기획안 발표할 수 있다.
ValueCountFrequency (%)
수 856
 
6.6%
있다 784
 
6.0%
1 243
 
1.9%
및 221
 
1.7%
2 124
 
1.0%
할 110
 
0.8%
설명할 107
 
0.8%
한다 103
 
0.8%
따라 101
 
0.8%
대한 95
 
0.7%
Other values (4018) 10262
78.9%
2023-12-12T12:45:55.957121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11239
 
20.9%
. 1730
 
3.2%
수 1235
 
2.3%
을 1136
 
2.1%
다 1118
 
2.1%
있 960
 
1.8%
의 869
 
1.6%
할 865
 
1.6%
하 782
 
1.5%
를 638
 
1.2%
Other values (687) 33151
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35661
66.4%
Space Separator 11239
 
20.9%
Other Punctuation 2349
 
4.4%
Lowercase Letter 1976
 
3.7%
Decimal Number 1274
 
2.4%
Control 515
 
1.0%
Uppercase Letter 402
 
0.7%
Dash Punctuation 114
 
0.2%
Close Punctuation 64
 
0.1%
Open Punctuation 53
 
0.1%
Other values (5) 76
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1235
 
3.5%
을 1136
 
3.2%
다 1118
 
3.1%
있 960
 
2.7%
의 869
 
2.4%
할 865
 
2.4%
하 782
 
2.2%
를 638
 
1.8%
이 632
 
1.8%
에 605
 
1.7%
Other values (595) 26821
75.2%
Lowercase Letter
ValueCountFrequency (%)
e 254
12.9%
a 181
 
9.2%
t 158
 
8.0%
o 143
 
7.2%
n 142
 
7.2%
i 134
 
6.8%
r 125
 
6.3%
h 109
 
5.5%
c 102
 
5.2%
s 90
 
4.6%
Other values (15) 538
27.2%
Uppercase Letter
ValueCountFrequency (%)
T 63
15.7%
C 54
13.4%
S 49
12.2%
P 48
11.9%
D 41
10.2%
A 27
6.7%
L 24
 
6.0%
I 16
 
4.0%
M 13
 
3.2%
N 10
 
2.5%
Other values (13) 57
14.2%
Other Punctuation
ValueCountFrequency (%)
. 1730
73.6%
, 509
 
21.7%
/ 76
 
3.2%
· 16
 
0.7%
' 7
 
0.3%
: 3
 
0.1%
& 3
 
0.1%
# 2
 
0.1%
; 2
 
0.1%
* 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 600
47.1%
2 353
27.7%
3 150
 
11.8%
4 72
 
5.7%
5 37
 
2.9%
6 24
 
1.9%
0 20
 
1.6%
7 10
 
0.8%
8 4
 
0.3%
9 4
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅹ 9
45.0%
Ⅱ 2
 
10.0%
Ⅰ 2
 
10.0%
Ⅲ 2
 
10.0%
Ⅵ 1
 
5.0%
Ⅶ 1
 
5.0%
Ⅷ 1
 
5.0%
Ⅳ 1
 
5.0%
Ⅴ 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 15
71.4%
∼ 4
 
19.0%
+ 2
 
9.5%
Close Punctuation
ValueCountFrequency (%)
) 62
96.9%
] 2
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 51
96.2%
[ 2
 
3.8%
Initial Punctuation
ValueCountFrequency (%)
‘ 18
94.7%
“ 1
 
5.3%
Final Punctuation
ValueCountFrequency (%)
’ 11
91.7%
” 1
 
8.3%
Space Separator
ValueCountFrequency (%)
11239
100.0%
Control
ValueCountFrequency (%)
515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Other Symbol
ValueCountFrequency (%)
● 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35661
66.4%
Common 15664
29.2%
Latin 2398
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1235
 
3.5%
을 1136
 
3.2%
다 1118
 
3.1%
있 960
 
2.7%
의 869
 
2.4%
할 865
 
2.4%
하 782
 
2.2%
를 638
 
1.8%
이 632
 
1.8%
에 605
 
1.7%
Other values (595) 26821
75.2%
Latin
ValueCountFrequency (%)
e 254
 
10.6%
a 181
 
7.5%
t 158
 
6.6%
o 143
 
6.0%
n 142
 
5.9%
i 134
 
5.6%
r 125
 
5.2%
h 109
 
4.5%
c 102
 
4.3%
s 90
 
3.8%
Other values (47) 960
40.0%
Common
ValueCountFrequency (%)
11239
71.8%
. 1730
 
11.0%
1 600
 
3.8%
515
 
3.3%
, 509
 
3.2%
2 353
 
2.3%
3 150
 
1.0%
- 114
 
0.7%
/ 76
 
0.5%
4 72
 
0.5%
Other values (25) 306
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35651
66.4%
ASCII 17987
33.5%
Punctuation 31
 
0.1%
Number Forms 20
 
< 0.1%
None 16
 
< 0.1%
Compat Jamo 10
 
< 0.1%
Math Operators 4
 
< 0.1%
Geometric Shapes 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11239
62.5%
. 1730
 
9.6%
1 600
 
3.3%
515
 
2.9%
, 509
 
2.8%
2 353
 
2.0%
e 254
 
1.4%
a 181
 
1.0%
t 158
 
0.9%
3 150
 
0.8%
Other values (66) 2298
 
12.8%
Hangul
ValueCountFrequency (%)
수 1235
 
3.5%
을 1136
 
3.2%
다 1118
 
3.1%
있 960
 
2.7%
의 869
 
2.4%
할 865
 
2.4%
하 782
 
2.2%
를 638
 
1.8%
이 632
 
1.8%
에 605
 
1.7%
Other values (593) 26811
75.2%
Punctuation
ValueCountFrequency (%)
‘ 18
58.1%
’ 11
35.5%
” 1
 
3.2%
“ 1
 
3.2%
None
ValueCountFrequency (%)
· 16
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
90.0%
ㄱ 1
 
10.0%
Number Forms
ValueCountFrequency (%)
Ⅹ 9
45.0%
Ⅱ 2
 
10.0%
Ⅰ 2
 
10.0%
Ⅲ 2
 
10.0%
Ⅵ 1
 
5.0%
Ⅶ 1
 
5.0%
Ⅷ 1
 
5.0%
Ⅳ 1
 
5.0%
Ⅴ 1
 
5.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
Geometric Shapes
ValueCountFrequency (%)
● 4
100.0%

주사용재료
Text

MISSING 

Distinct97
Distinct (%)42.0%
Missing9769
Missing (%)97.7%
Memory size156.2 KiB
2023-12-12T12:45:56.269506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length34
Mean length13.757576
Min length1

Characters and Unicode

Total characters3178
Distinct characters283
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)26.0%

Sample

1st rowUSB, CD_R 출력잉크 출력용지
2nd row시멘트, 골재
3rd row가위, 민두, 가발, 컷트빗, 분무기, 홀더
4th row* 교재 * ppt자료
5th row잉크, 용지
ValueCountFrequency (%)
계산기 49
 
6.6%
도면 33
 
4.4%
usb 29
 
3.9%
cd_r 28
 
3.7%
출력잉크 28
 
3.7%
출력용지 28
 
3.7%
19
 
2.5%
잉크 13
 
1.7%
등 13
 
1.7%
교재 12
 
1.6%
Other values (208) 496
66.3%
2023-12-12T12:45:56.805720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
415
 
13.1%
, 293
 
9.2%
133
 
4.2%
기 81
 
2.5%
용 67
 
2.1%
지 64
 
2.0%
도 63
 
2.0%
력 63
 
2.0%
출 62
 
2.0%
계 60
 
1.9%
Other values (273) 1877
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1793
56.4%
Space Separator 415
 
13.1%
Other Punctuation 314
 
9.9%
Uppercase Letter 282
 
8.9%
Lowercase Letter 152
 
4.8%
Control 133
 
4.2%
Connector Punctuation 28
 
0.9%
Decimal Number 26
 
0.8%
Dash Punctuation 17
 
0.5%
Close Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 81
 
4.5%
용 67
 
3.7%
지 64
 
3.6%
도 63
 
3.5%
력 63
 
3.5%
출 62
 
3.5%
계 60
 
3.3%
산 57
 
3.2%
크 53
 
3.0%
잉 41
 
2.3%
Other values (221) 1182
65.9%
Lowercase Letter
ValueCountFrequency (%)
p 27
17.8%
o 23
15.1%
t 15
9.9%
c 15
9.9%
r 9
 
5.9%
i 9
 
5.9%
y 8
 
5.3%
e 8
 
5.3%
s 7
 
4.6%
l 5
 
3.3%
Other values (10) 26
17.1%
Uppercase Letter
ValueCountFrequency (%)
B 36
12.8%
S 35
12.4%
C 35
12.4%
D 32
11.3%
R 31
11.0%
U 29
10.3%
A 24
8.5%
P 21
7.4%
T 10
 
3.5%
L 8
 
2.8%
Other values (7) 21
7.4%
Other Punctuation
ValueCountFrequency (%)
, 293
93.3%
* 16
 
5.1%
/ 2
 
0.6%
" 2
 
0.6%
& 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
4 12
46.2%
3 9
34.6%
2 4
 
15.4%
1 1
 
3.8%
Space Separator
ValueCountFrequency (%)
415
100.0%
Control
ValueCountFrequency (%)
133
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1793
56.4%
Common 951
29.9%
Latin 434
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 81
 
4.5%
용 67
 
3.7%
지 64
 
3.6%
도 63
 
3.5%
력 63
 
3.5%
출 62
 
3.5%
계 60
 
3.3%
산 57
 
3.2%
크 53
 
3.0%
잉 41
 
2.3%
Other values (221) 1182
65.9%
Latin
ValueCountFrequency (%)
B 36
 
8.3%
S 35
 
8.1%
C 35
 
8.1%
D 32
 
7.4%
R 31
 
7.1%
U 29
 
6.7%
p 27
 
6.2%
A 24
 
5.5%
o 23
 
5.3%
P 21
 
4.8%
Other values (27) 141
32.5%
Common
ValueCountFrequency (%)
415
43.6%
, 293
30.8%
133
 
14.0%
_ 28
 
2.9%
- 17
 
1.8%
* 16
 
1.7%
4 12
 
1.3%
3 9
 
0.9%
) 9
 
0.9%
( 9
 
0.9%
Other values (5) 10
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1793
56.4%
ASCII 1385
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
415
30.0%
, 293
21.2%
133
 
9.6%
B 36
 
2.6%
S 35
 
2.5%
C 35
 
2.5%
D 32
 
2.3%
R 31
 
2.2%
U 29
 
2.1%
_ 28
 
2.0%
Other values (42) 318
23.0%
Hangul
ValueCountFrequency (%)
기 81
 
4.5%
용 67
 
3.7%
지 64
 
3.6%
도 63
 
3.5%
력 63
 
3.5%
출 62
 
3.5%
계 60
 
3.3%
산 57
 
3.2%
크 53
 
3.0%
잉 41
 
2.3%
Other values (221) 1182
65.9%

NCS능력단위요소명
Text

MISSING 

Distinct25
Distinct (%)73.5%
Missing9966
Missing (%)99.7%
Memory size156.2 KiB
2023-12-12T12:45:57.093617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length29
Mean length20.088235
Min length4

Characters and Unicode

Total characters683
Distinct characters108
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)50.0%

Sample

1st row배관도면 이해
2nd row설계도면 작성하기
3rd row080301010110 대지조사 및 분석
4th row080101000103 해당 공사 분석
5th rowShop Drawing검토 (080301013110)
ValueCountFrequency (%)
및 8
 
6.4%
작업 4
 
3.2%
분석 4
 
3.2%
설계도면 3
 
2.4%
계획 3
 
2.4%
조립도면 3
 
2.4%
독도(초급 3
 
2.4%
오작분석 3
 
2.4%
대책수립 3
 
2.4%
관련 3
 
2.4%
Other values (55) 88
70.4%
2023-12-12T12:45:57.568189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 117
 
17.1%
62
 
9.1%
1 55
 
8.1%
31
 
4.5%
3 23
 
3.4%
도 20
 
2.9%
8 20
 
2.9%
계 16
 
2.3%
설 15
 
2.2%
작 14
 
2.0%
Other values (98) 310
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
42.9%
Decimal Number 236
34.6%
Space Separator 62
 
9.1%
Control 31
 
4.5%
Lowercase Letter 29
 
4.2%
Open Punctuation 13
 
1.9%
Close Punctuation 12
 
1.8%
Uppercase Letter 6
 
0.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 20
 
6.8%
계 16
 
5.5%
설 15
 
5.1%
작 14
 
4.8%
조 12
 
4.1%
면 11
 
3.8%
립 8
 
2.7%
및 8
 
2.7%
석 7
 
2.4%
분 7
 
2.4%
Other values (65) 175
59.7%
Lowercase Letter
ValueCountFrequency (%)
r 4
13.8%
o 3
10.3%
e 3
10.3%
w 2
 
6.9%
h 2
 
6.9%
p 2
 
6.9%
a 2
 
6.9%
i 2
 
6.9%
g 2
 
6.9%
n 2
 
6.9%
Other values (5) 5
17.2%
Decimal Number
ValueCountFrequency (%)
0 117
49.6%
1 55
23.3%
3 23
 
9.7%
8 20
 
8.5%
2 9
 
3.8%
4 5
 
2.1%
9 3
 
1.3%
7 2
 
0.8%
6 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
S 2
33.3%
P 1
16.7%
T 1
16.7%
Space Separator
ValueCountFrequency (%)
62
100.0%
Control
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 355
52.0%
Hangul 293
42.9%
Latin 35
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 20
 
6.8%
계 16
 
5.5%
설 15
 
5.1%
작 14
 
4.8%
조 12
 
4.1%
면 11
 
3.8%
립 8
 
2.7%
및 8
 
2.7%
석 7
 
2.4%
분 7
 
2.4%
Other values (65) 175
59.7%
Latin
ValueCountFrequency (%)
r 4
 
11.4%
o 3
 
8.6%
e 3
 
8.6%
w 2
 
5.7%
D 2
 
5.7%
h 2
 
5.7%
p 2
 
5.7%
S 2
 
5.7%
a 2
 
5.7%
i 2
 
5.7%
Other values (9) 11
31.4%
Common
ValueCountFrequency (%)
0 117
33.0%
62
17.5%
1 55
15.5%
31
 
8.7%
3 23
 
6.5%
8 20
 
5.6%
( 13
 
3.7%
) 12
 
3.4%
2 9
 
2.5%
4 5
 
1.4%
Other values (4) 8
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 390
57.1%
Hangul 291
42.6%
Compat Jamo 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 117
30.0%
62
15.9%
1 55
14.1%
31
 
7.9%
3 23
 
5.9%
8 20
 
5.1%
( 13
 
3.3%
) 12
 
3.1%
2 9
 
2.3%
4 5
 
1.3%
Other values (23) 43
 
11.0%
Hangul
ValueCountFrequency (%)
도 20
 
6.9%
계 16
 
5.5%
설 15
 
5.2%
작 14
 
4.8%
조 12
 
4.1%
면 11
 
3.8%
립 8
 
2.7%
및 8
 
2.7%
석 7
 
2.4%
분 7
 
2.4%
Other values (64) 173
59.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

수행준거
Text

MISSING 

Distinct608
Distinct (%)47.7%
Missing8725
Missing (%)87.2%
Memory size156.2 KiB
2023-12-12T12:45:57.979505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length56
Mean length16.52
Min length1

Characters and Unicode

Total characters21063
Distinct characters451
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique375 ?
Unique (%)29.4%

Sample

1st row접점의 종류와 특성 이해하기
2nd row080301011510.2 디테일 설정에 따른 시공성 검토하기
3rd row080301013110.2 제작 및 설치의 효율성 검토하기
4th row직무능력평가2차
5th row기초외국어능력
ValueCountFrequency (%)
및 112
 
3.1%
기초외국어능력 103
 
2.9%
작성하기 53
 
1.5%
분석하기 50
 
1.4%
하기 45
 
1.3%
작성 41
 
1.1%
관리하기 26
 
0.7%
검토하기 26
 
0.7%
컴퓨터활용능력 25
 
0.7%
능력 25
 
0.7%
Other values (1128) 3084
85.9%
2023-12-12T12:45:58.534592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1983
 
9.4%
1749
 
8.3%
1 1243
 
5.9%
기 1129
 
5.4%
하 823
 
3.9%
704
 
3.3%
2 651
 
3.1%
3 461
 
2.2%
. 358
 
1.7%
력 329
 
1.6%
Other values (441) 11633
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11847
56.2%
Decimal Number 5290
25.1%
Space Separator 1749
 
8.3%
Control 704
 
3.3%
Other Punctuation 423
 
2.0%
Lowercase Letter 330
 
1.6%
Uppercase Letter 273
 
1.3%
Connector Punctuation 155
 
0.7%
Open Punctuation 128
 
0.6%
Close Punctuation 127
 
0.6%
Other values (2) 37
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1129
 
9.5%
하 823
 
6.9%
력 329
 
2.8%
능 322
 
2.7%
계 245
 
2.1%
어 216
 
1.8%
성 177
 
1.5%
작 177
 
1.5%
이 157
 
1.3%
리 157
 
1.3%
Other values (377) 8115
68.5%
Uppercase Letter
ValueCountFrequency (%)
C 56
20.5%
P 36
13.2%
L 27
9.9%
S 23
8.4%
D 21
 
7.7%
V 20
 
7.3%
I 15
 
5.5%
N 14
 
5.1%
U 14
 
5.1%
W 11
 
4.0%
Other values (11) 36
13.2%
Lowercase Letter
ValueCountFrequency (%)
v 155
47.0%
i 25
 
7.6%
e 17
 
5.2%
n 16
 
4.8%
o 13
 
3.9%
a 13
 
3.9%
r 12
 
3.6%
c 12
 
3.6%
g 12
 
3.6%
t 10
 
3.0%
Other values (9) 45
 
13.6%
Decimal Number
ValueCountFrequency (%)
0 1983
37.5%
1 1243
23.5%
2 651
 
12.3%
3 461
 
8.7%
4 264
 
5.0%
5 202
 
3.8%
8 180
 
3.4%
6 141
 
2.7%
7 87
 
1.6%
9 78
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 358
84.6%
, 41
 
9.7%
/ 14
 
3.3%
· 7
 
1.7%
: 3
 
0.7%
Connector Punctuation
ValueCountFrequency (%)
_ 154
99.4%
＿ 1
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 2
33.3%
Space Separator
ValueCountFrequency (%)
1749
100.0%
Control
ValueCountFrequency (%)
704
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11847
56.2%
Common 8607
40.9%
Latin 609
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1129
 
9.5%
하 823
 
6.9%
력 329
 
2.8%
능 322
 
2.7%
계 245
 
2.1%
어 216
 
1.8%
성 177
 
1.5%
작 177
 
1.5%
이 157
 
1.3%
리 157
 
1.3%
Other values (377) 8115
68.5%
Latin
ValueCountFrequency (%)
v 155
25.5%
C 56
 
9.2%
P 36
 
5.9%
L 27
 
4.4%
i 25
 
4.1%
S 23
 
3.8%
D 21
 
3.4%
V 20
 
3.3%
e 17
 
2.8%
n 16
 
2.6%
Other values (32) 213
35.0%
Common
ValueCountFrequency (%)
0 1983
23.0%
1749
20.3%
1 1243
14.4%
704
 
8.2%
2 651
 
7.6%
3 461
 
5.4%
. 358
 
4.2%
4 264
 
3.1%
5 202
 
2.3%
8 180
 
2.1%
Other values (12) 812
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11846
56.2%
ASCII 9202
43.7%
None 8
 
< 0.1%
Number Forms 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1983
21.5%
1749
19.0%
1 1243
13.5%
704
 
7.7%
2 651
 
7.1%
3 461
 
5.0%
. 358
 
3.9%
4 264
 
2.9%
5 202
 
2.2%
8 180
 
2.0%
Other values (50) 1407
15.3%
Hangul
ValueCountFrequency (%)
기 1129
 
9.5%
하 823
 
6.9%
력 329
 
2.8%
능 322
 
2.7%
계 245
 
2.1%
어 216
 
1.8%
성 177
 
1.5%
작 177
 
1.5%
이 157
 
1.3%
리 157
 
1.3%
Other values (376) 8114
68.5%
None
ValueCountFrequency (%)
· 7
87.5%
＿ 1
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅱ 2
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

Interactions

2023-12-12T12:45:49.942799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:49.086023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:49.525134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:50.086241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:49.230888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:49.668351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:50.210459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:49.371323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:45:49.801170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:45:58.664506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학과코드전공코드학년학기과목반주별내용주사용재료NCS능력단위요소명
년도1.0000.2410.4540.0600.0590.1320.000NaNNaN
학과코드0.2411.0000.6350.3200.0680.7350.0001.0001.000
전공코드0.4540.6351.0000.1220.0800.8250.0001.000NaN
학년0.0600.3200.1221.0000.0000.1010.0000.7721.000
학기0.0590.0680.0800.0001.0000.0040.0110.624NaN
과목반0.1320.7350.8250.1010.0041.0000.0220.4290.000
주별내용0.0000.0000.0000.0000.0110.0221.0000.2070.676
주사용재료NaN1.0001.0000.7720.6240.4290.2071.000NaN
NCS능력단위요소명NaN1.000NaN1.000NaN0.0000.676NaN1.000
2023-12-12T12:45:58.843573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전공코드과목반학년학기
전공코드1.0000.7130.0740.077
과목반0.7131.0000.0950.007
학년0.0740.0951.0000.000
학기0.0770.0070.0001.000
2023-12-12T12:45:58.949161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도학과코드주별내용전공코드학년학기과목반
년도1.0000.1100.0140.2500.0560.0670.115
학과코드0.1101.000-0.0050.3910.2110.0490.414
주별내용0.014-0.0051.0000.0000.0000.0060.000
전공코드0.2500.3910.0001.0000.0740.0770.713
학년0.0560.2110.0000.0741.0000.0000.095
학기0.0670.0490.0060.0770.0001.0000.007
과목반0.1150.4140.0000.7130.0950.0071.000

Missing values

2023-12-12T12:45:50.399457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:45:50.654160image/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.
2023-12-12T12:45:50.855257image/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

년도학과코드전공코드학년학기과목반주별내용과정종류내용실습기자재주사용재료NCS능력단위요소명수행준거
2821720171121B8A<NA><NA><NA><NA><NA>
39976201814111A6A<NA><NA><NA><NA><NA>
131312015521A2A<NA><NA><NA><NA><NA>
502552018522B3A<NA><NA><NA><NA><NA>
48292201914222B8A1차직무능력평가<NA><NA><NA><NA>
232572015422A4A<NA><NA><NA><NA><NA>
1064420151321A12A<NA><NA><NA><NA><NA>
104602015421A3A병렬회로 배선하기1.1~1.7<NA><NA>접점의 종류와 특성 이해하기
255502017921A2A<NA><NA><NA><NA><NA>
250142016722A10A<NA><NA><NA><NA><NA>
년도학과코드전공코드학년학기과목반주별내용과정종류내용실습기자재주사용재료NCS능력단위요소명수행준거
3254020171212A11A<NA><NA><NA><NA><NA>
37039201814221B12A<NA><NA><NA><NA><NA>
426602018631A9A<NA><NA><NA><NA><NA>
60482014622A11A직장에서의 인간관계1. 직장에서의 관계를 향상하기 위한 방법을 활용할 수 있다 2. 직장에서 갈등 해결방법을 알수있다.<NA><NA>대인관계능력 갈등관계능력
524182019621A15A기말고사 (지필고사)<NA><NA><NA><NA>
511492018112B2A<NA><NA><NA><NA><NA>
3649720181311A14A<NA><NA><NA><NA><NA>
257262017121A13A<NA><NA><NA><NA><NA>
464672019711A15A<NA><NA><NA><NA><NA>
110752015911A9A<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

년도학과코드전공코드학년학기과목반주별내용과정종류내용실습기자재주사용재료NCS능력단위요소명수행준거# duplicates
6382016611A4A<NA><NA><NA><NA><NA>7
10662017621A12A<NA><NA><NA><NA><NA>7
15292018631A9A<NA><NA><NA><NA><NA>7
2212015631A2A<NA><NA><NA><NA><NA>6
2332015632A2A<NA><NA><NA><NA><NA>6
10352017611A1A<NA><NA><NA><NA><NA>6
10792017622A14A<NA><NA><NA><NA><NA>6
10832017631A3A<NA><NA><NA><NA><NA>6
120420171112A9A<NA><NA><NA><NA><NA>6
15112018621A10A<NA><NA><NA><NA><NA>6