Overview

Dataset statistics

Number of variables6
Number of observations340
Missing cells407
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.1 KiB
Average record size in memory48.4 B

Variable types

Text5
Boolean1

Dataset

Descriptionsw중심사회포털 코드아이디나, 코드 상세설명 등에 대한 파일데이터
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15073510/fileData.do

Alerts

코드사용여부 is highly imbalanced (76.6%)Imbalance
코드상세설명 has 128 (37.6%) missing valuesMissing
비고 has 277 (81.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:50:53.226744
Analysis finished2023-12-12 21:50:54.047131
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코드값
Text

Distinct335
Distinct (%)98.8%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2023-12-13T06:50:54.327298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.259587
Min length1

Characters and Unicode

Total characters1783
Distinct characters31
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

Unique333 ?
Unique (%)98.2%

Sample

1st rowB2000
2nd rowB201
3rd rowB202
4th rowB203
5th rowB204
ValueCountFrequency (%)
y 3
 
0.9%
n 3
 
0.9%
incl506 1
 
0.3%
nla05 1
 
0.3%
mlsfc0202 1
 
0.3%
mlsfc0201 1
 
0.3%
mlsfc0200 1
 
0.3%
mlsfc0108 1
 
0.3%
mlsfc0107 1
 
0.3%
mlsfc0106 1
 
0.3%
Other values (325) 325
95.9%
2023-12-13T06:50:54.813762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 318
17.8%
1 192
10.8%
B 160
 
9.0%
2 159
 
8.9%
K 152
 
8.5%
3 108
 
6.1%
C 82
 
4.6%
L 70
 
3.9%
M 67
 
3.8%
4 56
 
3.1%
Other values (21) 419
23.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 965
54.1%
Uppercase Letter 818
45.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 160
19.6%
K 152
18.6%
C 82
10.0%
L 70
8.6%
M 67
8.2%
N 53
 
6.5%
S 48
 
5.9%
F 40
 
4.9%
I 37
 
4.5%
P 25
 
3.1%
Other values (11) 84
10.3%
Decimal Number
ValueCountFrequency (%)
0 318
33.0%
1 192
19.9%
2 159
16.5%
3 108
 
11.2%
4 56
 
5.8%
5 47
 
4.9%
6 30
 
3.1%
7 25
 
2.6%
8 18
 
1.9%
9 12
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 965
54.1%
Latin 818
45.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 160
19.6%
K 152
18.6%
C 82
10.0%
L 70
8.6%
M 67
8.2%
N 53
 
6.5%
S 48
 
5.9%
F 40
 
4.9%
I 37
 
4.5%
P 25
 
3.1%
Other values (11) 84
10.3%
Common
ValueCountFrequency (%)
0 318
33.0%
1 192
19.9%
2 159
16.5%
3 108
 
11.2%
4 56
 
5.8%
5 47
 
4.9%
6 30
 
3.1%
7 25
 
2.6%
8 18
 
1.9%
9 12
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1783
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 318
17.8%
1 192
10.8%
B 160
 
9.0%
2 159
 
8.9%
K 152
 
8.5%
3 108
 
6.1%
C 82
 
4.6%
L 70
 
3.9%
M 67
 
3.8%
4 56
 
3.1%
Other values (21) 419
23.5%

상위코드
Text

Distinct59
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T06:50:55.050291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.5323529
Min length1

Characters and Unicode

Total characters1541
Distinct characters30
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 (%)0.3%

Sample

1st row0
2nd rowB2000
3rd rowB2000
4th rowB2000
5th rowB2000
ValueCountFrequency (%)
0 62
 
18.2%
bk10 24
 
7.1%
bk320 17
 
5.0%
m1000 12
 
3.5%
incl500 11
 
3.2%
bk210 9
 
2.6%
tchm00 9
 
2.6%
bk340 8
 
2.4%
mlsfc0100 8
 
2.4%
i1000 7
 
2.1%
Other values (49) 173
50.9%
2023-12-13T06:50:55.459682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 563
36.5%
B 136
 
8.8%
K 127
 
8.2%
1 118
 
7.7%
2 80
 
5.2%
C 65
 
4.2%
L 56
 
3.6%
M 56
 
3.6%
3 47
 
3.0%
N 40
 
2.6%
Other values (20) 253
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 875
56.8%
Uppercase Letter 666
43.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 136
20.4%
K 127
19.1%
C 65
9.8%
L 56
8.4%
M 56
8.4%
N 40
 
6.0%
S 39
 
5.9%
F 32
 
4.8%
I 29
 
4.4%
P 20
 
3.0%
Other values (10) 66
9.9%
Decimal Number
ValueCountFrequency (%)
0 563
64.3%
1 118
 
13.5%
2 80
 
9.1%
3 47
 
5.4%
4 21
 
2.4%
5 19
 
2.2%
7 10
 
1.1%
8 7
 
0.8%
6 7
 
0.8%
9 3
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 875
56.8%
Latin 666
43.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 136
20.4%
K 127
19.1%
C 65
9.8%
L 56
8.4%
M 56
8.4%
N 40
 
6.0%
S 39
 
5.9%
F 32
 
4.8%
I 29
 
4.4%
P 20
 
3.0%
Other values (10) 66
9.9%
Common
ValueCountFrequency (%)
0 563
64.3%
1 118
 
13.5%
2 80
 
9.1%
3 47
 
5.4%
4 21
 
2.4%
5 19
 
2.2%
7 10
 
1.1%
8 7
 
0.8%
6 7
 
0.8%
9 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 563
36.5%
B 136
 
8.8%
K 127
 
8.2%
1 118
 
7.7%
2 80
 
5.2%
C 65
 
4.2%
L 56
 
3.6%
M 56
 
3.6%
3 47
 
3.0%
N 40
 
2.6%
Other values (20) 253
16.4%

코드상세설명
Text

MISSING 

Distinct182
Distinct (%)85.8%
Missing128
Missing (%)37.6%
Memory size2.8 KiB
2023-12-13T06:50:55.802585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length6.4150943
Min length1

Characters and Unicode

Total characters1360
Distinct characters233
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

Unique155 ?
Unique (%)73.1%

Sample

1st row게시판 타입
2nd row공지형게시판
3rd row썸네일 게시판
4th row카드썸네일 게시판
5th row댓글형 게시판
ValueCountFrequency (%)
소프트웨어 9
 
2.5%
sw 8
 
2.2%
게시판 8
 
2.2%
구분 8
 
2.2%
커뮤니티 7
 
1.9%
상태 6
 
1.6%
공지 6
 
1.6%
위원제보 6
 
1.6%
개발자 5
 
1.4%
및 5
 
1.4%
Other values (210) 298
81.4%
2023-12-13T06:50:56.280201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
11.3%
S 47
 
3.5%
W 46
 
3.4%
사 35
 
2.6%
교 26
 
1.9%
기 23
 
1.7%
공 22
 
1.6%
보 22
 
1.6%
트 22
 
1.6%
대 21
 
1.5%
Other values (223) 942
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1047
77.0%
Space Separator 158
 
11.6%
Uppercase Letter 112
 
8.2%
Decimal Number 20
 
1.5%
Other Punctuation 10
 
0.7%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Lowercase Letter 3
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 35
 
3.3%
교 26
 
2.5%
기 23
 
2.2%
공 22
 
2.1%
보 22
 
2.1%
트 22
 
2.1%
대 21
 
2.0%
상 21
 
2.0%
정 20
 
1.9%
이 18
 
1.7%
Other values (194) 817
78.0%
Uppercase Letter
ValueCountFrequency (%)
S 47
42.0%
W 46
41.1%
I 4
 
3.6%
A 3
 
2.7%
C 3
 
2.7%
T 3
 
2.7%
F 2
 
1.8%
Q 2
 
1.8%
R 1
 
0.9%
D 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
0 8
40.0%
1 5
25.0%
5 3
 
15.0%
2 1
 
5.0%
6 1
 
5.0%
4 1
 
5.0%
3 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 4
40.0%
/ 3
30.0%
& 2
20.0%
; 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
p 1
33.3%
m 1
33.3%
Space Separator
ValueCountFrequency (%)
154
97.5%
　 4
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1047
77.0%
Common 198
 
14.6%
Latin 115
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 35
 
3.3%
교 26
 
2.5%
기 23
 
2.2%
공 22
 
2.1%
보 22
 
2.1%
트 22
 
2.1%
대 21
 
2.0%
상 21
 
2.0%
정 20
 
1.9%
이 18
 
1.7%
Other values (194) 817
78.0%
Common
ValueCountFrequency (%)
154
77.8%
0 8
 
4.0%
1 5
 
2.5%
) 4
 
2.0%
( 4
 
2.0%
, 4
 
2.0%
　 4
 
2.0%
5 3
 
1.5%
/ 3
 
1.5%
~ 2
 
1.0%
Other values (6) 7
 
3.5%
Latin
ValueCountFrequency (%)
S 47
40.9%
W 46
40.0%
I 4
 
3.5%
A 3
 
2.6%
C 3
 
2.6%
T 3
 
2.6%
F 2
 
1.7%
Q 2
 
1.7%
a 1
 
0.9%
p 1
 
0.9%
Other values (3) 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1047
77.0%
ASCII 309
 
22.7%
None 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
49.8%
S 47
 
15.2%
W 46
 
14.9%
0 8
 
2.6%
1 5
 
1.6%
) 4
 
1.3%
I 4
 
1.3%
( 4
 
1.3%
, 4
 
1.3%
5 3
 
1.0%
Other values (18) 30
 
9.7%
Hangul
ValueCountFrequency (%)
사 35
 
3.3%
교 26
 
2.5%
기 23
 
2.2%
공 22
 
2.1%
보 22
 
2.1%
트 22
 
2.1%
대 21
 
2.0%
상 21
 
2.0%
정 20
 
1.9%
이 18
 
1.7%
Other values (194) 817
78.0%
None
ValueCountFrequency (%)
　 4
100.0%

비고
Text

MISSING 

Distinct60
Distinct (%)95.2%
Missing277
Missing (%)81.5%
Memory size2.8 KiB
2023-12-13T06:50:56.526486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.4285714
Min length1

Characters and Unicode

Total characters342
Distinct characters116
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)90.5%

Sample

1st row게시판 타입
2nd row공지형게시판
3rd row썸네일 게시판
4th row카드썸네일 게시판
5th row댓글형 게시판
ValueCountFrequency (%)
게시판 6
 
6.2%
구분 4
 
4.2%
관리 3
 
3.1%
영상 3
 
3.1%
sw강의 2
 
2.1%
관리자 2
 
2.1%
교육 2
 
2.1%
지도서 2
 
2.1%
미사용 2
 
2.1%
사용 2
 
2.1%
Other values (67) 68
70.8%
2023-12-13T06:50:56.909359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
9.6%
사 14
 
4.1%
S 10
 
2.9%
W 10
 
2.9%
교 10
 
2.9%
시 10
 
2.9%
용 9
 
2.6%
게 8
 
2.3%
리 8
 
2.3%
판 8
 
2.3%
Other values (106) 222
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
80.7%
Space Separator 33
 
9.6%
Uppercase Letter 25
 
7.3%
Other Punctuation 3
 
0.9%
Lowercase Letter 3
 
0.9%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
5.1%
교 10
 
3.6%
시 10
 
3.6%
용 9
 
3.3%
게 8
 
2.9%
리 8
 
2.9%
판 8
 
2.9%
지 7
 
2.5%
상 7
 
2.5%
관 7
 
2.5%
Other values (91) 188
68.1%
Uppercase Letter
ValueCountFrequency (%)
S 10
40.0%
W 10
40.0%
A 2
 
8.0%
F 1
 
4.0%
Q 1
 
4.0%
I 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
; 1
33.3%
/ 1
33.3%
& 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
80.7%
Common 38
 
11.1%
Latin 28
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
5.1%
교 10
 
3.6%
시 10
 
3.6%
용 9
 
3.3%
게 8
 
2.9%
리 8
 
2.9%
판 8
 
2.9%
지 7
 
2.5%
상 7
 
2.5%
관 7
 
2.5%
Other values (91) 188
68.1%
Latin
ValueCountFrequency (%)
S 10
35.7%
W 10
35.7%
A 2
 
7.1%
p 1
 
3.6%
m 1
 
3.6%
F 1
 
3.6%
Q 1
 
3.6%
a 1
 
3.6%
I 1
 
3.6%
Common
ValueCountFrequency (%)
33
86.8%
) 1
 
2.6%
( 1
 
2.6%
; 1
 
2.6%
/ 1
 
2.6%
& 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
80.7%
ASCII 66
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
50.0%
S 10
 
15.2%
W 10
 
15.2%
A 2
 
3.0%
) 1
 
1.5%
( 1
 
1.5%
; 1
 
1.5%
p 1
 
1.5%
m 1
 
1.5%
F 1
 
1.5%
Other values (5) 5
 
7.6%
Hangul
ValueCountFrequency (%)
사 14
 
5.1%
교 10
 
3.6%
시 10
 
3.6%
용 9
 
3.3%
게 8
 
2.9%
리 8
 
2.9%
판 8
 
2.9%
지 7
 
2.5%
상 7
 
2.5%
관 7
 
2.5%
Other values (91) 188
68.1%

코드명
Text

Distinct284
Distinct (%)83.8%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2023-12-13T06:50:57.203445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.7935103
Min length1

Characters and Unicode

Total characters1964
Distinct characters314
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

Unique236 ?
Unique (%)69.6%

Sample

1st row게시판 타입
2nd row공지형게시판
3rd row썸네일 게시판
4th row카드썸네일 게시판
5th row댓글형 게시판
ValueCountFrequency (%)
sw 16
 
3.1%
소프트웨어 9
 
1.8%
구분 8
 
1.6%
게시판 8
 
1.6%
기타 7
 
1.4%
커뮤니티 7
 
1.4%
후기 6
 
1.2%
공지 5
 
1.0%
개발자 5
 
1.0%
sw교육 5
 
1.0%
Other values (306) 437
85.2%
2023-12-13T06:50:57.686502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
 
8.9%
S 64
 
3.3%
W 58
 
3.0%
사 42
 
2.1%
기 35
 
1.8%
상 32
 
1.6%
교 32
 
1.6%
공 31
 
1.6%
대 30
 
1.5%
시 26
 
1.3%
Other values (304) 1440
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1501
76.4%
Space Separator 178
 
9.1%
Uppercase Letter 176
 
9.0%
Lowercase Letter 52
 
2.6%
Decimal Number 32
 
1.6%
Other Punctuation 11
 
0.6%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 42
 
2.8%
기 35
 
2.3%
상 32
 
2.1%
교 32
 
2.1%
공 31
 
2.1%
대 30
 
2.0%
시 26
 
1.7%
관 26
 
1.7%
이 26
 
1.7%
지 25
 
1.7%
Other values (249) 1196
79.7%
Lowercase Letter
ValueCountFrequency (%)
a 7
13.5%
t 6
11.5%
y 4
 
7.7%
p 4
 
7.7%
c 4
 
7.7%
i 4
 
7.7%
h 3
 
5.8%
o 3
 
5.8%
n 3
 
5.8%
l 2
 
3.8%
Other values (9) 12
23.1%
Uppercase Letter
ValueCountFrequency (%)
S 64
36.4%
W 58
33.0%
I 7
 
4.0%
T 6
 
3.4%
C 6
 
3.4%
P 5
 
2.8%
A 5
 
2.8%
M 4
 
2.3%
H 3
 
1.7%
L 3
 
1.7%
Other values (8) 15
 
8.5%
Decimal Number
ValueCountFrequency (%)
0 14
43.8%
1 6
18.8%
5 4
 
12.5%
2 2
 
6.2%
3 2
 
6.2%
4 2
 
6.2%
6 2
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 4
36.4%
& 3
27.3%
, 2
18.2%
# 1
 
9.1%
; 1
 
9.1%
Space Separator
ValueCountFrequency (%)
174
97.8%
　 4
 
2.2%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
+ 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1501
76.4%
Common 235
 
12.0%
Latin 228
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 42
 
2.8%
기 35
 
2.3%
상 32
 
2.1%
교 32
 
2.1%
공 31
 
2.1%
대 30
 
2.0%
시 26
 
1.7%
관 26
 
1.7%
이 26
 
1.7%
지 25
 
1.7%
Other values (249) 1196
79.7%
Latin
ValueCountFrequency (%)
S 64
28.1%
W 58
25.4%
a 7
 
3.1%
I 7
 
3.1%
t 6
 
2.6%
T 6
 
2.6%
C 6
 
2.6%
P 5
 
2.2%
A 5
 
2.2%
y 4
 
1.8%
Other values (27) 60
26.3%
Common
ValueCountFrequency (%)
174
74.0%
0 14
 
6.0%
1 6
 
2.6%
) 5
 
2.1%
( 5
 
2.1%
/ 4
 
1.7%
5 4
 
1.7%
　 4
 
1.7%
& 3
 
1.3%
, 2
 
0.9%
Other values (8) 14
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1501
76.4%
ASCII 459
 
23.4%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
37.9%
S 64
 
13.9%
W 58
 
12.6%
0 14
 
3.1%
a 7
 
1.5%
I 7
 
1.5%
1 6
 
1.3%
t 6
 
1.3%
T 6
 
1.3%
C 6
 
1.3%
Other values (44) 111
24.2%
Hangul
ValueCountFrequency (%)
사 42
 
2.8%
기 35
 
2.3%
상 32
 
2.1%
교 32
 
2.1%
공 31
 
2.1%
대 30
 
2.0%
시 26
 
1.7%
관 26
 
1.7%
이 26
 
1.7%
지 25
 
1.7%
Other values (249) 1196
79.7%
None
ValueCountFrequency (%)
　 4
100.0%

코드사용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size472.0 B
True
327 
False
 
13
ValueCountFrequency (%)
True 327
96.2%
False 13
 
3.8%
2023-12-13T06:50:57.841390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:50:57.922008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상위코드비고코드사용여부
상위코드1.0000.0000.613
비고0.0001.0001.000
코드사용여부0.6131.0001.000

Missing values

2023-12-13T06:50:53.702066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:50:53.828258image/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.
2023-12-13T06:50:53.972699image/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

코드값상위코드코드상세설명비고코드명코드사용여부
0B20000게시판 타입게시판 타입게시판 타입Y
1B201B2000공지형게시판공지형게시판공지형게시판Y
2B202B2000썸네일 게시판썸네일 게시판썸네일 게시판Y
3B203B2000카드썸네일 게시판카드썸네일 게시판카드썸네일 게시판Y
4B204B2000댓글형 게시판댓글형 게시판댓글형 게시판Y
5B205B2000일반형 게시판일반형 게시판일반형 게시판Y
6B206B2000동영상게시판동영상게시판동영상게시판Y
7B207B2000링크 게시판링크 게시판링크 게시판Y
8BK100게시판 구분<NA>게시판 구분Y
9BK11BK10이슈리포트이슈리포트이슈리포트Y
코드값상위코드코드상세설명비고코드명코드사용여부
330I2001I2000<NA><NA>주관기관Y
331I2002I2000<NA><NA>주최기관Y
332I2003I2000<NA><NA>참여기관Y
333BK218BK210미래를 보는 ICT<NA>미래를 보는 ICTY
334BK219BK210SW스타트업<NA>SW스타트업Y
335CDCL000코드클럽 구분코드클럽 구분코드클럽 구분Y
336CDCL01CDCL00<NA><NA>ScratchY
337CDCL02CDCL00<NA><NA>HTML&CSSY
338CDCL03CDCL00<NA><NA>PythonY
339M1012M1000AI정보AI정보AI정보Y