Overview

Dataset statistics

Number of variables7
Number of observations1193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.7 KiB
Average record size in memory58.1 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description한국산업인력공단 외국인근로자가 자주 쓰는 외국어 정보(키르기스스탄어)로 외국인근로자가 자주 사용하는 키르기스스탄어 문장을 제공합니다.
URLhttps://www.data.go.kr/data/15050963/fileData.do

Alerts

대분류코드 has constant value ""Constant
연번 is highly overall correlated with 대분류High correlation
대분류 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:05:54.567959
Analysis finished2023-12-12 15:05:55.754499
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.46186
Minimum1
Maximum1194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2023-12-13T00:05:55.847679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.6
Q1299
median597
Q3896
95-th percentile1134.4
Maximum1194
Range1193
Interquartile range (IQR)597

Descriptive statistics

Standard deviation344.96451
Coefficient of variation (CV)0.57738331
Kurtosis-1.2014613
Mean597.46186
Median Absolute Deviation (MAD)299
Skewness0.00033030759
Sum712772
Variance119000.51
MonotonicityStrictly increasing
2023-12-13T00:05:56.028571image/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 (1183) 1183
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 size9.4 KiB
4
1193 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1193
100.0%

Length

2023-12-13T00:05:56.171047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:05:56.286412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1193
100.0%

대분류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
일상생활
608 
작업지시
208 
근로관련
185 
기숙사및식당
120 
고용관련신고
68 
Other values (4)
 
4

Length

Max length33
Median length4
Mean length4.3671417
Min length4

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
일상생활 608
51.0%
작업지시 208
 
17.4%
근로관련 185
 
15.5%
기숙사및식당 120
 
10.1%
고용관련신고 68
 
5.7%
Иш буйругу 1
 
0.1%
Жатакана жана ашкана 1
 
0.1%
Жумуш жонундо 1
 
0.1%
Жумушка орношууда билдируу жасоо 1
 
0.1%

Length

2023-12-13T00:05:56.424456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:05:56.565692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일상생활 608
50.7%
작업지시 208
 
17.3%
근로관련 185
 
15.4%
기숙사및식당 120
 
10.0%
고용관련신고 68
 
5.7%
иш 1
 
0.1%
буйругу 1
 
0.1%
жатакана 1
 
0.1%
жана 1
 
0.1%
ашкана 1
 
0.1%
Other values (6) 6
 
0.5%

소분류
Text

Distinct55
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-13T00:05:56.782052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length4.5163453
Min length2

Characters and Unicode

Total characters5388
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.3%

Sample

1st row인사,소개
2nd row인사,소개
3rd row인사,소개
4th row인사,소개
5th row인사,소개
ValueCountFrequency (%)
기타 332
26.8%
근무태도 83
 
6.7%
건강,병원 82
 
6.6%
급여,수당 65
 
5.2%
기숙사규칙 57
 
4.6%
시장,교통 46
 
3.7%
음식,식생활 45
 
3.6%
안전규칙 45
 
3.6%
작업규칙등기타 44
 
3.5%
인사,소개 43
 
3.5%
Other values (77) 398
32.1%
2023-12-13T00:05:57.156443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 522
 
9.7%
, 429
 
8.0%
타 419
 
7.8%
사 220
 
4.1%
칙 179
 
3.3%
규 179
 
3.3%
무 136
 
2.5%
근 134
 
2.5%
숙 103
 
1.9%
식 103
 
1.9%
Other values (100) 2964
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4376
81.2%
Lowercase Letter 481
 
8.9%
Other Punctuation 431
 
8.0%
Space Separator 67
 
1.2%
Uppercase Letter 29
 
0.5%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 522
 
11.9%
타 419
 
9.6%
사 220
 
5.0%
칙 179
 
4.1%
규 179
 
4.1%
무 136
 
3.1%
근 134
 
3.1%
숙 103
 
2.4%
식 103
 
2.4%
여 98
 
2.2%
Other values (60) 2283
52.2%
Lowercase Letter
ValueCountFrequency (%)
а 82
17.0%
у 64
13.3%
р 34
 
7.1%
о 33
 
6.9%
н 31
 
6.4%
т 28
 
5.8%
к 27
 
5.6%
м 22
 
4.6%
е 21
 
4.4%
ш 18
 
3.7%
Other values (17) 121
25.2%
Uppercase Letter
ValueCountFrequency (%)
Ж 11
37.9%
А 5
17.2%
К 4
 
13.8%
М 2
 
6.9%
И 2
 
6.9%
Б 2
 
6.9%
Т 1
 
3.4%
Д 1
 
3.4%
Э 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 429
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4376
81.2%
Cyrillic 510
 
9.5%
Common 502
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 522
 
11.9%
타 419
 
9.6%
사 220
 
5.0%
칙 179
 
4.1%
규 179
 
4.1%
무 136
 
3.1%
근 134
 
3.1%
숙 103
 
2.4%
식 103
 
2.4%
여 98
 
2.2%
Other values (60) 2283
52.2%
Cyrillic
ValueCountFrequency (%)
а 82
16.1%
у 64
12.5%
р 34
 
6.7%
о 33
 
6.5%
н 31
 
6.1%
т 28
 
5.5%
к 27
 
5.3%
м 22
 
4.3%
е 21
 
4.1%
ш 18
 
3.5%
Other values (26) 150
29.4%
Common
ValueCountFrequency (%)
, 429
85.5%
67
 
13.3%
- 4
 
0.8%
. 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4376
81.2%
Cyrillic 510
 
9.5%
ASCII 502
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 522
 
11.9%
타 419
 
9.6%
사 220
 
5.0%
칙 179
 
4.1%
규 179
 
4.1%
무 136
 
3.1%
근 134
 
3.1%
숙 103
 
2.4%
식 103
 
2.4%
여 98
 
2.2%
Other values (60) 2283
52.2%
ASCII
ValueCountFrequency (%)
, 429
85.5%
67
 
13.3%
- 4
 
0.8%
. 2
 
0.4%
Cyrillic
ValueCountFrequency (%)
а 82
16.1%
у 64
12.5%
р 34
 
6.7%
о 33
 
6.5%
н 31
 
6.1%
т 28
 
5.5%
к 27
 
5.3%
м 22
 
4.3%
е 21
 
4.1%
ш 18
 
3.5%
Other values (26) 150
29.4%

한국어
Text

Distinct1190
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-13T00:05:57.573431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length34
Mean length14.005868
Min length1

Characters and Unicode

Total characters16709
Distinct characters614
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

Unique1187 ?
Unique (%)99.5%

Sample

1st row고맙습니다.
2nd row그동안 수고하셨습니다
3rd row다음에 또 뵈요
4th row다음에 오겠습니다.
5th row당신을 잊지 못할 것 입니다
ValueCountFrequency (%)
합니다 36
 
0.9%
있습니다 34
 
0.9%
잘 32
 
0.8%
하세요 28
 
0.7%
마세요 28
 
0.7%
입니다 26
 
0.7%
수 21
 
0.5%
안됩니다 19
 
0.5%
이 18
 
0.5%
반드시 17
 
0.4%
Other values (2406) 3589
93.3%
2023-12-13T00:05:58.170873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2975
 
17.8%
요 572
 
3.4%
니 523
 
3.1%
. 473
 
2.8%
다 463
 
2.8%
세 359
 
2.1%
하 314
 
1.9%
이 293
 
1.8%
에 262
 
1.6%
을 251
 
1.5%
Other values (604) 10224
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13030
78.0%
Space Separator 2975
 
17.8%
Other Punctuation 507
 
3.0%
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 572
 
4.4%
니 523
 
4.0%
다 463
 
3.6%
세 359
 
2.8%
하 314
 
2.4%
이 293
 
2.2%
에 262
 
2.0%
을 251
 
1.9%
시 225
 
1.7%
가 215
 
1.7%
Other values (573) 9553
73.3%
Decimal Number
ValueCountFrequency (%)
0 45
32.6%
1 26
18.8%
2 17
 
12.3%
3 10
 
7.2%
9 10
 
7.2%
4 8
 
5.8%
5 7
 
5.1%
6 6
 
4.3%
8 6
 
4.3%
7 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 473
93.3%
, 23
 
4.5%
/ 6
 
1.2%
… 1
 
0.2%
* 1
 
0.2%
% 1
 
0.2%
' 1
 
0.2%
! 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
O 22
81.5%
C 2
 
7.4%
E 1
 
3.7%
S 1
 
3.7%
A 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
t 1
33.3%
v 1
33.3%
Space Separator
ValueCountFrequency (%)
2975
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 13030
78.0%
Common 3649
 
21.8%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 572
 
4.4%
니 523
 
4.0%
다 463
 
3.6%
세 359
 
2.8%
하 314
 
2.4%
이 293
 
2.2%
에 262
 
2.0%
을 251
 
1.9%
시 225
 
1.7%
가 215
 
1.7%
Other values (573) 9553
73.3%
Common
ValueCountFrequency (%)
2975
81.5%
. 473
 
13.0%
0 45
 
1.2%
1 26
 
0.7%
, 23
 
0.6%
2 17
 
0.5%
~ 11
 
0.3%
3 10
 
0.3%
9 10
 
0.3%
4 8
 
0.2%
Other values (13) 51
 
1.4%
Latin
ValueCountFrequency (%)
O 22
73.3%
C 2
 
6.7%
E 1
 
3.3%
d 1
 
3.3%
t 1
 
3.3%
v 1
 
3.3%
S 1
 
3.3%
A 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12891
77.2%
ASCII 3678
 
22.0%
Compat Jamo 139
 
0.8%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2975
80.9%
. 473
 
12.9%
0 45
 
1.2%
1 26
 
0.7%
, 23
 
0.6%
O 22
 
0.6%
2 17
 
0.5%
~ 11
 
0.3%
3 10
 
0.3%
9 10
 
0.3%
Other values (20) 66
 
1.8%
Hangul
ValueCountFrequency (%)
요 572
 
4.4%
니 523
 
4.1%
다 463
 
3.6%
세 359
 
2.8%
하 314
 
2.4%
이 293
 
2.3%
에 262
 
2.0%
을 251
 
1.9%
시 225
 
1.7%
가 215
 
1.7%
Other values (572) 9414
73.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 139
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

키르키즈스탄어
Text

Distinct1176
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-13T00:05:58.504863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length205
Median length84
Mean length32.15088
Min length1

Characters and Unicode

Total characters38356
Distinct characters86
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1159 ?
Unique (%)97.2%

Sample

1st rowРахмат
2nd rowУшул убакыт бою жакшы иштедииз
3rd rowЭмкиде дагы жолугалы
4th rowЭмкиде келем
5th rowСизди унута албайм
ValueCountFrequency (%)
бул 79
 
1.5%
керек 61
 
1.1%
менен 58
 
1.1%
жакшы 57
 
1.1%
коопсуздук 36
 
0.7%
бир 33
 
0.6%
турган 30
 
0.6%
29
 
0.5%
айлык 28
 
0.5%
болот 28
 
0.5%
Other values (2299) 4984
91.9%
2023-12-13T00:05:59.052809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4591
 
12.0%
а 3870
 
10.1%
н 2373
 
6.2%
у 2265
 
5.9%
к 2124
 
5.5%
ы 1993
 
5.2%
е 1889
 
4.9%
т 1829
 
4.8%
и 1601
 
4.2%
р 1589
 
4.1%
Other values (76) 14232
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31678
82.6%
Space Separator 4591
 
12.0%
Uppercase Letter 1194
 
3.1%
Other Punctuation 355
 
0.9%
Connector Punctuation 297
 
0.8%
Decimal Number 136
 
0.4%
Other Letter 37
 
0.1%
Dash Punctuation 33
 
0.1%
Open Punctuation 13
 
< 0.1%
Close Punctuation 13
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
а 3870
 
12.2%
н 2373
 
7.5%
у 2265
 
7.2%
к 2124
 
6.7%
ы 1993
 
6.3%
е 1889
 
6.0%
т 1829
 
5.8%
и 1601
 
5.1%
р 1589
 
5.0%
о 1507
 
4.8%
Other values (22) 10638
33.6%
Uppercase Letter
ValueCountFrequency (%)
К 186
15.6%
Б 178
14.9%
Ж 147
12.3%
А 121
10.1%
С 90
7.5%
Т 76
 
6.4%
Э 59
 
4.9%
М 59
 
4.9%
И 46
 
3.9%
О 36
 
3.0%
Other values (22) 196
16.4%
Decimal Number
ValueCountFrequency (%)
0 74
54.4%
1 17
 
12.5%
2 13
 
9.6%
3 8
 
5.9%
9 8
 
5.9%
4 5
 
3.7%
5 4
 
2.9%
8 3
 
2.2%
6 3
 
2.2%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 304
85.6%
, 44
 
12.4%
/ 5
 
1.4%
% 1
 
0.3%
* 1
 
0.3%
Space Separator
ValueCountFrequency (%)
4591
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 297
100.0%
Other Letter
ValueCountFrequency (%)
ㅇ 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 32819
85.6%
Common 5447
 
14.2%
Latin 53
 
0.1%
Hangul 37
 
0.1%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
а 3870
 
11.8%
н 2373
 
7.2%
у 2265
 
6.9%
к 2124
 
6.5%
ы 1993
 
6.1%
е 1889
 
5.8%
т 1829
 
5.6%
и 1601
 
4.9%
р 1589
 
4.8%
о 1507
 
4.6%
Other values (48) 11779
35.9%
Common
ValueCountFrequency (%)
4591
84.3%
. 304
 
5.6%
_ 297
 
5.5%
0 74
 
1.4%
, 44
 
0.8%
- 33
 
0.6%
1 17
 
0.3%
( 13
 
0.2%
2 13
 
0.2%
) 13
 
0.2%
Other values (11) 48
 
0.9%
Latin
ValueCountFrequency (%)
D 15
28.3%
I 15
28.3%
C 11
20.8%
c 6
 
11.3%
O 5
 
9.4%
E 1
 
1.9%
Hangul
ValueCountFrequency (%)
ㅇ 37
100.0%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 32819
85.6%
ASCII 5500
 
14.3%
Compat Jamo 37
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4591
83.5%
. 304
 
5.5%
_ 297
 
5.4%
0 74
 
1.3%
, 44
 
0.8%
- 33
 
0.6%
1 17
 
0.3%
D 15
 
0.3%
I 15
 
0.3%
( 13
 
0.2%
Other values (17) 97
 
1.8%
Cyrillic
ValueCountFrequency (%)
а 3870
 
11.8%
н 2373
 
7.2%
у 2265
 
6.9%
к 2124
 
6.5%
ы 1993
 
6.1%
е 1889
 
5.8%
т 1829
 
5.6%
и 1601
 
4.9%
р 1589
 
4.8%
о 1507
 
4.6%
Other values (48) 11779
35.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 37
100.0%

발음
Text

Distinct1181
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2023-12-13T00:05:59.641276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length56
Mean length18.744342
Min length1

Characters and Unicode

Total characters22362
Distinct characters553
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

Unique1169 ?
Unique (%)98.0%

Sample

1st row라흐맛
2nd row우쉴 우바큿 보유 자크쉬 이쉬테디니즈
3rd row엠키데 다그 졸루갈르
4th row엠키데 켈렘
5th row시즈디 우누타 알바임
ValueCountFrequency (%)
불 79
 
1.5%
케렉 59
 
1.1%
메넨 55
 
1.0%
작쉬 44
 
0.8%
우춘 43
 
0.8%
코옵수수둑 32
 
0.6%
볼롯 30
 
0.6%
비르 27
 
0.5%
바르 26
 
0.5%
아일륵 26
 
0.5%
Other values (2539) 4954
92.2%
2023-12-13T00:06:00.092026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4257
 
19.0%
르 746
 
3.3%
이 598
 
2.7%
즈 458
 
2.0%
쉬 430
 
1.9%
스 408
 
1.8%
아 402
 
1.8%
_ 381
 
1.7%
카 374
 
1.7%
루 340
 
1.5%
Other values (543) 13968
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17461
78.1%
Space Separator 4257
 
19.0%
Connector Punctuation 381
 
1.7%
Decimal Number 113
 
0.5%
Other Punctuation 80
 
0.4%
Dash Punctuation 30
 
0.1%
Open Punctuation 15
 
0.1%
Close Punctuation 13
 
0.1%
Math Symbol 9
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
르 746
 
4.3%
이 598
 
3.4%
즈 458
 
2.6%
쉬 430
 
2.5%
스 408
 
2.3%
아 402
 
2.3%
카 374
 
2.1%
루 340
 
1.9%
느 336
 
1.9%
주 328
 
1.9%
Other values (519) 13041
74.7%
Decimal Number
ValueCountFrequency (%)
0 53
46.9%
1 16
 
14.2%
2 13
 
11.5%
3 8
 
7.1%
9 8
 
7.1%
4 5
 
4.4%
8 3
 
2.7%
6 3
 
2.7%
5 3
 
2.7%
7 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 43
53.8%
. 30
37.5%
/ 5
 
6.2%
% 1
 
1.2%
* 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 13
86.7%
[ 2
 
13.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
4257
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17461
78.1%
Common 4898
 
21.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
르 746
 
4.3%
이 598
 
3.4%
즈 458
 
2.6%
쉬 430
 
2.5%
스 408
 
2.3%
아 402
 
2.3%
카 374
 
2.1%
루 340
 
1.9%
느 336
 
1.9%
주 328
 
1.9%
Other values (519) 13041
74.7%
Common
ValueCountFrequency (%)
4257
86.9%
_ 381
 
7.8%
0 53
 
1.1%
, 43
 
0.9%
. 30
 
0.6%
- 30
 
0.6%
1 16
 
0.3%
2 13
 
0.3%
) 13
 
0.3%
( 13
 
0.3%
Other values (12) 49
 
1.0%
Latin
ValueCountFrequency (%)
C 2
66.7%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17455
78.1%
ASCII 4901
 
21.9%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4257
86.9%
_ 381
 
7.8%
0 53
 
1.1%
, 43
 
0.9%
. 30
 
0.6%
- 30
 
0.6%
1 16
 
0.3%
2 13
 
0.3%
) 13
 
0.3%
( 13
 
0.3%
Other values (14) 52
 
1.1%
Hangul
ValueCountFrequency (%)
르 746
 
4.3%
이 598
 
3.4%
즈 458
 
2.6%
쉬 430
 
2.5%
스 408
 
2.3%
아 402
 
2.3%
카 374
 
2.1%
루 340
 
1.9%
느 336
 
1.9%
주 328
 
1.9%
Other values (515) 13035
74.7%
Compat Jamo
ValueCountFrequency (%)
ㄹ 3
50.0%
ㅇ 1
 
16.7%
ㅁ 1
 
16.7%
ㅗ 1
 
16.7%

Interactions

2023-12-13T00:05:55.415757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:06:00.180224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류소분류
연번1.0000.8520.981
대분류0.8521.0000.986
소분류0.9810.9861.000
2023-12-13T00:06:00.253733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류
연번1.0000.607
대분류0.6071.000

Missing values

2023-12-13T00:05:55.579325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:05:55.698308image/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

연번대분류코드대분류소분류한국어키르키즈스탄어발음
014일상생활인사,소개고맙습니다.Рахмат라흐맛
124일상생활인사,소개그동안 수고하셨습니다Ушул убакыт бою жакшы иштедииз우쉴 우바큿 보유 자크쉬 이쉬테디니즈
234일상생활인사,소개다음에 또 뵈요Эмкиде дагы жолугалы엠키데 다그 졸루갈르
344일상생활인사,소개다음에 오겠습니다.Эмкиде келем엠키데 켈렘
454일상생활인사,소개당신을 잊지 못할 것 입니다Сизди унута албайм시즈디 우누타 알바임
564일상생활인사,소개당신의 상사는 ㅇㅇㅇ 입니다.Бул киши _______ сиздин шефииз불 키쉬 ____ 시즈딘 쉬에비니즈
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784일상생활인사,소개동료Коллега콜레가
894일상생활인사,소개만나서 반갑습니다.Жолукканыбызга кубанычтамын졸루카느브즈가 쿠바느치타믄
9104일상생활인사,소개맛있게 드세요Тамагыыз таттуу болсун타마그느즈 타투 볼순
연번대분류코드대분류소분류한국어키르키즈스탄어발음
118311854고용관련신고기타사항이곳에 도장을 찍어주세요Бул жерге мрду басыныз.불 제르게 모오르두 바스느즈
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118611884고용관련신고기타사항재발급을 원합니다.Кайрадан жасаткым келет.카이라단 자삿큼 켈렛
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