Overview

Dataset statistics

Number of variables7
Number of observations1194
Missing cells23
Missing cells (%)0.3%
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(우즈베키스탄어)로 외국인근로자가 자주 사용하는 우즈베키스탄어 문장을 제공합니다.
URLhttps://www.data.go.kr/data/15050965/fileData.do

Alerts

대분류코드 has constant value ""Constant
대분류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
소분류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 대분류 and 1 other fieldsHigh correlation
외국어_발음 has 14 (1.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:40:19.972684
Analysis finished2023-12-12 22:40:21.264176
Duration1.29 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
2023-12-13T07:40:21.341238image/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
2023-12-13T07:40:21.497097image/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

2023-12-13T07:40:21.632567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:21.721885image/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
607 
작업지시
211 
근로관련
186 
기숙사및식당
121 
고용관련신고
69 

Length

Max length7
Median length4
Mean length4.3760469
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일상생활 607
50.8%
작업지시 211
 
17.7%
근로관련 186
 
15.6%
기숙사및식당 121
 
10.1%
고용관련신고 69
 
5.8%

Length

2023-12-13T07:40:21.828544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:40:21.925323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일상생활 607
50.8%
작업지시 211
 
17.7%
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 관련
66 
기숙사규칙
58 
Other values (24)
568 

Length

Max length9
Median length8
Mean length4.4505863
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 관련 66
 
5.5%
기숙사규칙 58
 
4.9%
시장,교통 47
 
3.9%
음식,식습관 46
 
3.9%
안전규칙 46
 
3.9%
작업규칙 등 기타 45
 
3.8%
기타사항 44
 
3.7%
Other values (19) 340
28.5%

Length

2023-12-13T07:40:22.062927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 379
27.0%
근무태도 85
 
6.1%
건강,병원 83
 
5.9%
급여,수당 66
 
4.7%
관련 66
 
4.7%
등 63
 
4.5%
기숙사규칙 58
 
4.1%
시장,교통 47
 
3.4%
음식,식습관 46
 
3.3%
안전규칙 46
 
3.3%
Other values (22) 463
33.0%

한국어_문장
Text

Distinct1191
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
2023-12-13T07:40:22.372063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length35
Mean length14.196817
Min length1

Characters and Unicode

Total characters16951
Distinct characters615
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 (2408) 3608
92.6%
2023-12-13T07:40:22.838837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2973
 
17.5%
요 573
 
3.4%
니 523
 
3.1%
. 474
 
2.8%
다 463
 
2.7%
세 360
 
2.1%
하 314
 
1.9%
이 294
 
1.7%
에 262
 
1.5%
을 251
 
1.5%
Other values (605) 10464
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13041
76.9%
Space Separator 2973
 
17.5%
Other Punctuation 740
 
4.4%
Decimal Number 138
 
0.8%
Uppercase Letter 27
 
0.2%
Math Symbol 11
 
0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 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%
Decimal Number
ValueCountFrequency (%)
0 45
32.6%
1 26
18.8%
2 17
 
12.3%
9 10
 
7.2%
3 10
 
7.2%
4 8
 
5.8%
5 7
 
5.1%
8 6
 
4.3%
6 6
 
4.3%
7 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 474
64.1%
? 232
31.4%
, 23
 
3.1%
/ 6
 
0.8%
… 1
 
0.1%
* 1
 
0.1%
% 1
 
0.1%
' 1
 
0.1%
! 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 22
81.5%
C 2
 
7.4%
E 1
 
3.7%
A 1
 
3.7%
S 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
t 1
33.3%
d 1
33.3%
Space Separator
ValueCountFrequency (%)
2973
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13041
76.9%
Common 3880
 
22.9%
Latin 30
 
0.2%

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 (%)
2973
76.6%
. 474
 
12.2%
? 232
 
6.0%
0 45
 
1.2%
1 26
 
0.7%
, 23
 
0.6%
2 17
 
0.4%
~ 11
 
0.3%
9 10
 
0.3%
3 10
 
0.3%
Other values (14) 59
 
1.5%
Latin
ValueCountFrequency (%)
O 22
73.3%
C 2
 
6.7%
v 1
 
3.3%
t 1
 
3.3%
d 1
 
3.3%
E 1
 
3.3%
A 1
 
3.3%
S 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12902
76.1%
ASCII 3909
 
23.1%
Compat Jamo 139
 
0.8%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2973
76.1%
. 474
 
12.1%
? 232
 
5.9%
0 45
 
1.2%
1 26
 
0.7%
, 23
 
0.6%
O 22
 
0.6%
2 17
 
0.4%
~ 11
 
0.3%
9 10
 
0.3%
Other values (21) 76
 
1.9%
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

Distinct1172
Distinct (%)98.9%
Missing9
Missing (%)0.8%
Memory size9.5 KiB
2023-12-13T07:40:23.137835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length60
Mean length27.578059
Min length2

Characters and Unicode

Total characters32680
Distinct characters91
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1159 ?
Unique (%)97.8%

Sample

1st rowRAHMAT
2nd rowSHU KUNGACHA ISHLAGANILAR USHUN RAHMAT
3rd rowYANA UCHRASHGUNCHA
4th rowYANA KELAMAN
5th rowSIZNI UNUTMAYMAN
ValueCountFrequency (%)
ish 72
 
1.7%
bu 68
 
1.6%
bilan 48
 
1.1%
yahshi 40
 
0.9%
kerak 36
 
0.8%
qiling 34
 
0.8%
dam 27
 
0.6%
uchun 26
 
0.6%
nima 24
 
0.6%
oylik 23
 
0.5%
Other values (2175) 3949
90.8%
2023-12-13T07:40:23.548913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 4027
 
12.3%
A 3948
 
12.1%
3165
 
9.7%
N 2169
 
6.6%
O 1927
 
5.9%
S 1561
 
4.8%
H 1556
 
4.8%
L 1534
 
4.7%
G 1360
 
4.2%
R 1311
 
4.0%
Other values (81) 10122
31.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 28829
88.2%
Space Separator 3165
 
9.7%
Other Punctuation 324
 
1.0%
Lowercase Letter 245
 
0.7%
Decimal Number 104
 
0.3%
Dash Punctuation 5
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
о 24
 
9.8%
е 22
 
9.0%
и 19
 
7.8%
н 19
 
7.8%
а 16
 
6.5%
т 15
 
6.1%
р 12
 
4.9%
в 11
 
4.5%
л 10
 
4.1%
с 9
 
3.7%
Other values (31) 88
35.9%
Uppercase Letter
ValueCountFrequency (%)
I 4027
14.0%
A 3948
13.7%
N 2169
 
7.5%
O 1927
 
6.7%
S 1561
 
5.4%
H 1556
 
5.4%
L 1534
 
5.3%
G 1360
 
4.7%
R 1311
 
4.5%
T 1215
 
4.2%
Other values (20) 8221
28.5%
Decimal Number
ValueCountFrequency (%)
0 40
38.5%
1 19
18.3%
3 14
 
13.5%
2 11
 
10.6%
9 8
 
7.7%
4 4
 
3.8%
8 3
 
2.9%
5 3
 
2.9%
6 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
… 126
38.9%
? 88
27.2%
. 88
27.2%
, 11
 
3.4%
′ 9
 
2.8%
% 1
 
0.3%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28849
88.3%
Common 3606
 
11.0%
Cyrillic 225
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 4027
14.0%
A 3948
13.7%
N 2169
 
7.5%
O 1927
 
6.7%
S 1561
 
5.4%
H 1556
 
5.4%
L 1534
 
5.3%
G 1360
 
4.7%
R 1311
 
4.5%
T 1215
 
4.2%
Other values (29) 8241
28.6%
Cyrillic
ValueCountFrequency (%)
о 24
 
10.7%
е 22
 
9.8%
и 19
 
8.4%
н 19
 
8.4%
а 16
 
7.1%
т 15
 
6.7%
р 12
 
5.3%
в 11
 
4.9%
л 10
 
4.4%
с 9
 
4.0%
Other values (22) 68
30.2%
Common
ValueCountFrequency (%)
3165
87.8%
… 126
 
3.5%
? 88
 
2.4%
. 88
 
2.4%
0 40
 
1.1%
1 19
 
0.5%
3 14
 
0.4%
2 11
 
0.3%
, 11
 
0.3%
′ 9
 
0.2%
Other values (10) 35
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32320
98.9%
Cyrillic 225
 
0.7%
Punctuation 135
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 4027
12.5%
A 3948
12.2%
3165
 
9.8%
N 2169
 
6.7%
O 1927
 
6.0%
S 1561
 
4.8%
H 1556
 
4.8%
L 1534
 
4.7%
G 1360
 
4.2%
R 1311
 
4.1%
Other values (47) 9762
30.2%
Punctuation
ValueCountFrequency (%)
… 126
93.3%
′ 9
 
6.7%
Cyrillic
ValueCountFrequency (%)
о 24
 
10.7%
е 22
 
9.8%
и 19
 
8.4%
н 19
 
8.4%
а 16
 
7.1%
т 15
 
6.7%
р 12
 
5.3%
в 11
 
4.9%
л 10
 
4.4%
с 9
 
4.0%
Other values (22) 68
30.2%

외국어_발음
Text

MISSING 

Distinct1169
Distinct (%)99.1%
Missing14
Missing (%)1.2%
Memory size9.5 KiB
2023-12-13T07:40:23.816602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length14.607627
Min length1

Characters and Unicode

Total characters17237
Distinct characters593
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1158 ?
Unique (%)98.1%

Sample

1st row랗맛
2nd row수 군가차 잇라간이랄 우춘 랗맛
3rd row야나 웆랏군자
4th row야나 게라만
5th row싲니 우눝마에만
ValueCountFrequency (%)
부 70
 
1.6%
이스 48
 
1.1%
비란 45
 
1.0%
얗시 33
 
0.8%
게라그 29
 
0.7%
담 26
 
0.6%
니마 24
 
0.6%
기링 24
 
0.6%
우준 23
 
0.5%
부군 21
 
0.5%
Other values (2582) 3989
92.1%
2023-12-13T07:40:24.509844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3263
 
18.9%
라 591
 
3.4%
가 503
 
2.9%
즈 493
 
2.9%
시 492
 
2.9%
니 444
 
2.6%
에 434
 
2.5%
리 419
 
2.4%
기 404
 
2.3%
스 364
 
2.1%
Other values (583) 9830
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13561
78.7%
Space Separator 3263
 
18.9%
Other Punctuation 255
 
1.5%
Decimal Number 130
 
0.8%
Lowercase Letter 8
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 591
 
4.4%
가 503
 
3.7%
즈 493
 
3.6%
시 492
 
3.6%
니 444
 
3.3%
에 434
 
3.2%
리 419
 
3.1%
기 404
 
3.0%
스 364
 
2.7%
다 310
 
2.3%
Other values (553) 9107
67.2%
Decimal Number
ValueCountFrequency (%)
0 66
50.8%
1 19
 
14.6%
3 14
 
10.8%
2 11
 
8.5%
9 8
 
6.2%
4 4
 
3.1%
5 3
 
2.3%
8 3
 
2.3%
6 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
… 173
67.8%
. 68
 
26.7%
, 10
 
3.9%
? 2
 
0.8%
% 1
 
0.4%
/ 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
c 2
25.0%
e 2
25.0%
s 1
12.5%
a 1
12.5%
i 1
12.5%
k 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
C 1
16.7%
A 1
16.7%
T 1
16.7%
V 1
16.7%
Space Separator
ValueCountFrequency (%)
3263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13561
78.7%
Common 3662
 
21.2%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 591
 
4.4%
가 503
 
3.7%
즈 493
 
3.6%
시 492
 
3.6%
니 444
 
3.3%
에 434
 
3.2%
리 419
 
3.1%
기 404
 
3.0%
스 364
 
2.7%
다 310
 
2.3%
Other values (553) 9107
67.2%
Common
ValueCountFrequency (%)
3263
89.1%
… 173
 
4.7%
. 68
 
1.9%
0 66
 
1.8%
1 19
 
0.5%
3 14
 
0.4%
2 11
 
0.3%
, 10
 
0.3%
9 8
 
0.2%
- 6
 
0.2%
Other values (9) 24
 
0.7%
Latin
ValueCountFrequency (%)
c 2
14.3%
e 2
14.3%
S 2
14.3%
C 1
7.1%
s 1
7.1%
a 1
7.1%
i 1
7.1%
k 1
7.1%
A 1
7.1%
T 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13506
78.4%
ASCII 3503
 
20.3%
Punctuation 173
 
1.0%
Compat Jamo 55
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3263
93.1%
. 68
 
1.9%
0 66
 
1.9%
1 19
 
0.5%
3 14
 
0.4%
2 11
 
0.3%
, 10
 
0.3%
9 8
 
0.2%
- 6
 
0.2%
) 4
 
0.1%
Other values (19) 34
 
1.0%
Hangul
ValueCountFrequency (%)
라 591
 
4.4%
가 503
 
3.7%
즈 493
 
3.7%
시 492
 
3.6%
니 444
 
3.3%
에 434
 
3.2%
리 419
 
3.1%
기 404
 
3.0%
스 364
 
2.7%
다 310
 
2.3%
Other values (539) 9052
67.0%
Punctuation
ValueCountFrequency (%)
… 173
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 11
20.0%
ㅣ 9
16.4%
ㅡ 7
12.7%
ㄷ 6
10.9%
ㄱ 6
10.9%
ㅗ 4
 
7.3%
ㄴ 4
 
7.3%
ㅂ 2
 
3.6%
ㅕ 1
 
1.8%
ㅔ 1
 
1.8%
Other values (4) 4
 
7.3%

Interactions

2023-12-13T07:40:20.853006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:40:24.596558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류소분류
연번1.0000.9900.974
대분류0.9901.0000.994
소분류0.9740.9941.000
2023-12-13T07:40:24.671660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류소분류
대분류1.0000.962
소분류0.9621.000
2023-12-13T07:40:24.741154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류소분류
연번1.0000.8570.828
대분류0.8571.0000.962
소분류0.8280.9621.000

Missing values

2023-12-13T07:40:20.976950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:40:21.114780image/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.
2023-12-13T07:40:21.218253image/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

연번대분류코드대분류소분류한국어_문장외국어_문장외국어_발음
013일상생활인사,소개고맙습니다.RAHMAT랗맛
123일상생활인사,소개그동안 수고하셨습니다SHU KUNGACHA ISHLAGANILAR USHUN RAHMAT수 군가차 잇라간이랄 우춘 랗맛
233일상생활인사,소개다음에 또 뵈요YANA UCHRASHGUNCHA야나 웆랏군자
343일상생활인사,소개다음에 오겠습니다.YANA KELAMAN야나 게라만
453일상생활인사,소개당신을 잊지 못할 것 입니다SIZNI UNUTMAYMAN싲니 우눝마에만
563일상생활인사,소개당신의 상사는 ㅇㅇㅇ 입니다.MEN SIZLARNI BOSHLIQILARMAN멘 싲랄니 봇릭이랄만
673일상생활인사,소개당신의 성공을 기원합니다SIZLARGA OMAD TILAYMAN싲랄가 오맡 티라에만
783일상생활인사,소개동료QOLLEQTIV골렉팁
893일상생활인사,소개만나서 반갑습니다.UCHRASHGANIMDAN HURSANDMAN웇랐가니밎단 훌산드만
9103일상생활인사,소개맛있게 드세요YOQIMLI ISHTAHA요금리 있타하
연번대분류코드대분류소분류한국어_문장외국어_문장외국어_발음
118411853고용관련신고기타사항이곳에 도장을 찍어주세요BU ERGA KOL KOYING부 앨가 골 고에잉
118511863고용관련신고기타사항이곳에 서류를 접수하세요BU ERGA HUJJARLARNI ROYHAT QILING부 엘가 후잗랄니 로에하드 기링
118611873고용관련신고기타사항재고용근로자 안내문을 잘읽어보세요.CHET ELLIK ISHCHILAR BILDIRISH NOMASINI YAHSHILAB OQING젣 엘릭 잇지랄 빙디리시 노마니 얗시라브 오깅
118711883고용관련신고기타사항재발급을 원합니다.<NA><NA>
118811893고용관련신고기타사항체류기간 연장을 해야 합니다.SHARTNOMA VAQTINGIZNI CHOZISH KERAK살트노마 반틴기지니 초지시 게라그
118911903고용관련신고기타사항체류기간이 만료되었습니다.SHARTNOMA MUDDATI OHIRI살티노마 묻ㄷ다티 오히리
119011913고용관련신고기타사항체류지 변경시 반드시 전입신고를 해야 합니다YASHASH JOYINI OZGARISHINI HABAR QILISH KERAK야삿 조이니 오즈가리시니 하바르 키리시 게라그
119111923고용관련신고기타사항출국시 외국인등록증은 공항 출입국관리사무소에 반납해야 합니다.AYRAPORTDA CHIQIB KETISHDA ID KARTASINI BERIB KETISH KERAK EMIGRASIONNIGA아에로폴트단 치그브 게디엳간다 아이디 갈다시니 베리브 게디시 게라그 에믹라지언가
119211933고용관련신고기타사항출국예정일 변경 또는 재입국을 포기하고자할때는 한국산업인력공단 해외주재사무소로반드시 연락하여야합니다.<NA><NA>
119311943고용관련신고기타사항한국체류기간이 얼마나 남았습니까?KOREADA KOLISH MUDDATIZ QANCHA QOLDI?고레아다 고리시 묻다티 칸차 콜디