Overview

Dataset statistics

Number of variables7
Number of observations1194
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.8 KiB
Average record size in memory58.1 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description한국산업인력공단 외국인근로자가 자주 쓰는 외국어 정보(필리핀어)로 외국인근로자가 자주 사용하는 필리핀어 문장을 제공합니다.
URLhttps://www.data.go.kr/data/15050967/fileData.do

Alerts

대분류코드 has constant value ""Constant
소분류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
대분류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 대분류 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:02:34.119694
Analysis finished2023-12-12 12:02:35.270524
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.5
Minimum1
Maximum1194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-12T21:02:35.348669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.65
Q1299.25
median597.5
Q3895.75
95-th percentile1134.35
Maximum1194
Range1193
Interquartile range (IQR)596.5

Descriptive statistics

Standard deviation344.82242
Coefficient of variation (CV)0.57710865
Kurtosis-1.2
Mean597.5
Median Absolute Deviation (MAD)298.5
Skewness0
Sum713415
Variance118902.5
MonotonicityStrictly increasing
2023-12-12T21:02:35.494704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
803 1
 
0.1%
801 1
 
0.1%
800 1
 
0.1%
799 1
 
0.1%
798 1
 
0.1%
797 1
 
0.1%
796 1
 
0.1%
795 1
 
0.1%
794 1
 
0.1%
Other values (1184) 1184
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1194 1
0.1%
1193 1
0.1%
1192 1
0.1%
1191 1
0.1%
1190 1
0.1%
1189 1
0.1%
1188 1
0.1%
1187 1
0.1%
1186 1
0.1%
1185 1
0.1%

대분류코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
3
1194 

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 1194
100.0%

Length

2023-12-12T21:02:35.633430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:02:35.729633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1194
100.0%

대분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
일상생활
608 
작업지시
210 
근로관련
186 
기숙사및식당
121 
고용관련신고
69 

Length

Max length6
Median length4
Mean length4.318258
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일상생활 608
50.9%
작업지시 210
 
17.6%
근로관련 186
 
15.6%
기숙사및식당 121
 
10.1%
고용관련신고 69
 
5.8%

Length

2023-12-12T21:02:35.853679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:02:35.971573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일상생활 608
50.9%
작업지시 210
 
17.6%
근로관련 186
 
15.6%
기숙사및식당 121
 
10.1%
고용관련신고 69
 
5.8%

소분류
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
기타
334 
근무태도
85 
건강,병원
83 
급여,수당
66 
기숙사규칙
58 
Other values (24)
568 

Length

Max length7
Median length6
Mean length4.1314908
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row인사,소개
2nd row인사,소개
3rd row인사,소개
4th row인사,소개
5th row인사,소개

Common Values

ValueCountFrequency (%)
기타 334
28.0%
근무태도 85
 
7.1%
건강,병원 83
 
7.0%
급여,수당 66
 
5.5%
기숙사규칙 58
 
4.9%
시장,교통 47
 
3.9%
음식,식생활 46
 
3.9%
작업규칙등기타 46
 
3.9%
안전규칙 45
 
3.8%
기타사항 44
 
3.7%
Other values (19) 340
28.5%

Length

2023-12-12T21:02:36.140374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 334
28.0%
근무태도 85
 
7.1%
건강,병원 83
 
7.0%
급여,수당 66
 
5.5%
기숙사규칙 58
 
4.9%
시장,교통 47
 
3.9%
음식,식생활 46
 
3.9%
작업규칙등기타 46
 
3.9%
안전규칙 45
 
3.8%
기타사항 44
 
3.7%
Other values (19) 340
28.5%

한국어 문장
Text

Distinct1191
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T21:02:36.570243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length36
Mean length14.247069
Min length1

Characters and Unicode

Total characters17011
Distinct characters625
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

Unique1188 ?
Unique (%)99.5%

Sample

1st row고맙습니다.
2nd row그동안 수고하셨습니다
3rd row다음에 또 뵈요
4th row다음에 오겠습니다.
5th row당신을 잊지 못할 것 입니다
ValueCountFrequency (%)
47
 
1.2%
합니다 36
 
0.9%
있습니다 34
 
0.9%
잘 32
 
0.8%
마세요 28
 
0.7%
하세요 28
 
0.7%
입니다 26
 
0.7%
수 21
 
0.5%
안됩니다 19
 
0.5%
이 18
 
0.5%
Other values (2415) 3615
92.6%
2023-12-12T21:02:37.254313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2986
 
17.6%
요 573
 
3.4%
니 523
 
3.1%
. 473
 
2.8%
다 463
 
2.7%
세 360
 
2.1%
하 314
 
1.8%
이 294
 
1.7%
에 262
 
1.5%
을 251
 
1.5%
Other values (615) 10512
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13041
76.7%
Space Separator 2986
 
17.6%
Other Punctuation 739
 
4.3%
Decimal Number 140
 
0.8%
Uppercase Letter 71
 
0.4%
Math Symbol 11
 
0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 573
 
4.4%
니 523
 
4.0%
다 463
 
3.6%
세 360
 
2.8%
하 314
 
2.4%
이 294
 
2.3%
에 262
 
2.0%
을 251
 
1.9%
시 225
 
1.7%
가 215
 
1.6%
Other values (573) 9561
73.3%
Uppercase Letter
ValueCountFrequency (%)
O 26
36.6%
A 10
 
14.1%
S 6
 
8.5%
U 4
 
5.6%
Y 4
 
5.6%
W 3
 
4.2%
K 3
 
4.2%
P 3
 
4.2%
N 3
 
4.2%
T 2
 
2.8%
Other values (5) 7
 
9.9%
Decimal Number
ValueCountFrequency (%)
0 47
33.6%
1 26
18.6%
2 17
 
12.1%
3 10
 
7.1%
9 10
 
7.1%
4 8
 
5.7%
5 7
 
5.0%
6 6
 
4.3%
8 6
 
4.3%
7 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 473
64.0%
? 232
31.4%
, 23
 
3.1%
/ 6
 
0.8%
% 1
 
0.1%
… 1
 
0.1%
* 1
 
0.1%
' 1
 
0.1%
! 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
t 1
33.3%
d 1
33.3%
Space Separator
ValueCountFrequency (%)
2986
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13041
76.7%
Common 3896
 
22.9%
Latin 74
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 573
 
4.4%
니 523
 
4.0%
다 463
 
3.6%
세 360
 
2.8%
하 314
 
2.4%
이 294
 
2.3%
에 262
 
2.0%
을 251
 
1.9%
시 225
 
1.7%
가 215
 
1.6%
Other values (573) 9561
73.3%
Common
ValueCountFrequency (%)
2986
76.6%
. 473
 
12.1%
? 232
 
6.0%
0 47
 
1.2%
1 26
 
0.7%
, 23
 
0.6%
2 17
 
0.4%
~ 11
 
0.3%
3 10
 
0.3%
9 10
 
0.3%
Other values (14) 61
 
1.6%
Latin
ValueCountFrequency (%)
O 26
35.1%
A 10
 
13.5%
S 6
 
8.1%
U 4
 
5.4%
Y 4
 
5.4%
W 3
 
4.1%
K 3
 
4.1%
P 3
 
4.1%
N 3
 
4.1%
T 2
 
2.7%
Other values (8) 10
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12902
75.8%
ASCII 3969
 
23.3%
Compat Jamo 139
 
0.8%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2986
75.2%
. 473
 
11.9%
? 232
 
5.8%
0 47
 
1.2%
O 26
 
0.7%
1 26
 
0.7%
, 23
 
0.6%
2 17
 
0.4%
~ 11
 
0.3%
A 10
 
0.3%
Other values (31) 118
 
3.0%
Hangul
ValueCountFrequency (%)
요 573
 
4.4%
니 523
 
4.1%
다 463
 
3.6%
세 360
 
2.8%
하 314
 
2.4%
이 294
 
2.3%
에 262
 
2.0%
을 251
 
1.9%
시 225
 
1.7%
가 215
 
1.7%
Other values (572) 9422
73.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 139
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

외국어 문장
Text

Distinct1180
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T21:02:37.693595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length171
Median length80
Mean length35.949749
Min length3

Characters and Unicode

Total characters42924
Distinct characters65
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1166 ?
Unique (%)97.7%

Sample

1st rowSALAMAT PO
2nd rowSALAMAT SA PAGLILINGKOD MO
3rd rowSA MULING PAG KIKITA
4th rowMULI PO AKONG BABALIK
5th rowHINDI KO PO KAYO MAKAKALIMUTAN
ValueCountFrequency (%)
ang 537
 
7.3%
ng 432
 
5.9%
sa 360
 
4.9%
na 201
 
2.7%
mo 179
 
2.4%
ka 121
 
1.6%
po 107
 
1.5%
mag 98
 
1.3%
94
 
1.3%
mga 91
 
1.2%
Other values (1622) 5151
69.9%
2023-12-12T21:02:38.338300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 7905
18.4%
6449
15.0%
N 4255
9.9%
G 3343
 
7.8%
I 2407
 
5.6%
O 2169
 
5.1%
M 1767
 
4.1%
T 1543
 
3.6%
S 1542
 
3.6%
K 1291
 
3.0%
Other values (55) 10253
23.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 35064
81.7%
Space Separator 6449
 
15.0%
Other Punctuation 864
 
2.0%
Decimal Number 350
 
0.8%
Lowercase Letter 139
 
0.3%
Dash Punctuation 18
 
< 0.1%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 7905
22.5%
N 4255
12.1%
G 3343
9.5%
I 2407
 
6.9%
O 2169
 
6.2%
M 1767
 
5.0%
T 1543
 
4.4%
S 1542
 
4.4%
K 1291
 
3.7%
L 1169
 
3.3%
Other values (14) 7673
21.9%
Lowercase Letter
ValueCountFrequency (%)
a 31
22.3%
n 19
13.7%
g 12
 
8.6%
o 10
 
7.2%
m 8
 
5.8%
k 7
 
5.0%
s 6
 
4.3%
t 6
 
4.3%
u 6
 
4.3%
b 5
 
3.6%
Other values (9) 29
20.9%
Decimal Number
ValueCountFrequency (%)
0 311
88.9%
2 9
 
2.6%
1 8
 
2.3%
9 8
 
2.3%
3 4
 
1.1%
4 4
 
1.1%
6 2
 
0.6%
5 2
 
0.6%
8 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 605
70.0%
? 196
 
22.7%
, 41
 
4.7%
/ 13
 
1.5%
! 4
 
0.5%
… 2
 
0.2%
' 2
 
0.2%
% 1
 
0.1%
Space Separator
ValueCountFrequency (%)
6449
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35203
82.0%
Common 7721
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 7905
22.5%
N 4255
12.1%
G 3343
9.5%
I 2407
 
6.8%
O 2169
 
6.2%
M 1767
 
5.0%
T 1543
 
4.4%
S 1542
 
4.4%
K 1291
 
3.7%
L 1169
 
3.3%
Other values (33) 7812
22.2%
Common
ValueCountFrequency (%)
6449
83.5%
. 605
 
7.8%
0 311
 
4.0%
? 196
 
2.5%
, 41
 
0.5%
- 18
 
0.2%
( 14
 
0.2%
) 14
 
0.2%
/ 13
 
0.2%
~ 12
 
0.2%
Other values (12) 48
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42922
> 99.9%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 7905
18.4%
6449
15.0%
N 4255
9.9%
G 3343
 
7.8%
I 2407
 
5.6%
O 2169
 
5.1%
M 1767
 
4.1%
T 1543
 
3.6%
S 1542
 
3.6%
K 1291
 
3.0%
Other values (54) 10251
23.9%
Punctuation
ValueCountFrequency (%)
… 2
100.0%

외국어 발음
Text

Distinct1186
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-12T21:02:38.667079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length57
Mean length19.785595
Min length1

Characters and Unicode

Total characters23624
Distinct characters612
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

Unique1178 ?
Unique (%)98.7%

Sample

1st row살라맛 포
2nd row살라맛 사 팡리링코드
3rd row사 물링 팡키키타
4th row물리 포 아꽁 바발리크
5th row힌디 코 포까요 마까갈리무탄
ValueCountFrequency (%)
앙 495
 
7.0%
낭 364
 
5.2%
사 309
 
4.4%
나 183
 
2.6%
모 150
 
2.1%
아이 87
 
1.2%
81
 
1.2%
망아 78
 
1.1%
까 74
 
1.1%
앗 64
 
0.9%
Other values (2311) 5157
73.2%
2023-12-12T21:02:39.164471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6249
26.5%
이 763
 
3.2%
마 662
 
2.8%
라 657
 
2.8%
사 579
 
2.5%
앙 577
 
2.4%
아 544
 
2.3%
나 468
 
2.0%
스 462
 
2.0%
바 408
 
1.7%
Other values (602) 12255
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16449
69.6%
Space Separator 6249
 
26.5%
Other Punctuation 497
 
2.1%
Decimal Number 282
 
1.2%
Uppercase Letter 90
 
0.4%
Lowercase Letter 27
 
0.1%
Close Punctuation 11
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 763
 
4.6%
마 662
 
4.0%
라 657
 
4.0%
사 579
 
3.5%
앙 577
 
3.5%
아 544
 
3.3%
나 468
 
2.8%
스 462
 
2.8%
바 408
 
2.5%
까 396
 
2.4%
Other values (560) 10933
66.5%
Uppercase Letter
ValueCountFrequency (%)
X 63
70.0%
A 4
 
4.4%
I 4
 
4.4%
G 4
 
4.4%
N 4
 
4.4%
T 2
 
2.2%
H 2
 
2.2%
V 2
 
2.2%
D 2
 
2.2%
Y 2
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
x 14
51.9%
g 2
 
7.4%
a 2
 
7.4%
n 2
 
7.4%
i 2
 
7.4%
v 1
 
3.7%
h 1
 
3.7%
t 1
 
3.7%
d 1
 
3.7%
y 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 244
86.5%
9 8
 
2.8%
2 8
 
2.8%
1 8
 
2.8%
3 4
 
1.4%
4 4
 
1.4%
8 2
 
0.7%
6 2
 
0.7%
5 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 321
64.6%
? 129
26.0%
, 33
 
6.6%
/ 10
 
2.0%
… 2
 
0.4%
% 1
 
0.2%
! 1
 
0.2%
Space Separator
ValueCountFrequency (%)
6249
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16449
69.6%
Common 7058
29.9%
Latin 117
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 763
 
4.6%
마 662
 
4.0%
라 657
 
4.0%
사 579
 
3.5%
앙 577
 
3.5%
아 544
 
3.3%
나 468
 
2.8%
스 462
 
2.8%
바 408
 
2.5%
까 396
 
2.4%
Other values (560) 10933
66.5%
Common
ValueCountFrequency (%)
6249
88.5%
. 321
 
4.5%
0 244
 
3.5%
? 129
 
1.8%
, 33
 
0.5%
) 11
 
0.2%
( 11
 
0.2%
/ 10
 
0.1%
9 8
 
0.1%
2 8
 
0.1%
Other values (11) 34
 
0.5%
Latin
ValueCountFrequency (%)
X 63
53.8%
x 14
 
12.0%
A 4
 
3.4%
I 4
 
3.4%
G 4
 
3.4%
N 4
 
3.4%
g 2
 
1.7%
T 2
 
1.7%
H 2
 
1.7%
V 2
 
1.7%
Other values (11) 16
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16447
69.6%
ASCII 7173
30.4%
Punctuation 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6249
87.1%
. 321
 
4.5%
0 244
 
3.4%
? 129
 
1.8%
X 63
 
0.9%
, 33
 
0.5%
x 14
 
0.2%
) 11
 
0.2%
( 11
 
0.2%
/ 10
 
0.1%
Other values (31) 88
 
1.2%
Hangul
ValueCountFrequency (%)
이 763
 
4.6%
마 662
 
4.0%
라 657
 
4.0%
사 579
 
3.5%
앙 577
 
3.5%
아 544
 
3.3%
나 468
 
2.8%
스 462
 
2.8%
바 408
 
2.5%
까 396
 
2.4%
Other values (558) 10931
66.5%
Punctuation
ValueCountFrequency (%)
… 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
50.0%
ㅇ 1
50.0%

Interactions

2023-12-12T21:02:34.905688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:02:39.295826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류소분류
연번1.0000.9900.974
대분류0.9901.0000.994
소분류0.9740.9941.000
2023-12-12T21:02:39.418784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류대분류
소분류1.0000.962
대분류0.9621.000
2023-12-12T21:02:39.511530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류소분류
연번1.0000.8580.829
대분류0.8581.0000.962
소분류0.8290.9621.000

Missing values

2023-12-12T21:02:35.076944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:02:35.210349image/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

연번대분류코드대분류소분류한국어 문장외국어 문장외국어 발음
013일상생활인사,소개고맙습니다.SALAMAT PO살라맛 포
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233일상생활인사,소개다음에 또 뵈요SA MULING PAG KIKITA사 물링 팡키키타
343일상생활인사,소개다음에 오겠습니다.MULI PO AKONG BABALIK물리 포 아꽁 바발리크
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783일상생활인사,소개동료KASAMA SA TRABAHO까사마 사 트라바호
893일상생활인사,소개만나서 반갑습니다.KINAGAGALAK KITANG MAKILALA끼나가갈라크 끼탕 마길라라
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연번대분류코드대분류소분류한국어 문장외국어 문장외국어 발음
118411853고용관련신고기타사항이곳에 도장을 찍어주세요TATAKAN MO PO DITO.따따깐 모 포 띠또.
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