Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

DateTime1
Text5

Alerts

관리아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:41:55.332971
Analysis finished2023-12-10 21:41:56.794645
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분실일자
Date

Distinct558
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-02-09 00:00:00
Maximum2023-11-18 00:00:00
2023-12-11T06:41:56.859464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:41:56.987497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

분실장소
Text

Distinct7986
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:41:57.338621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length10.5847
Min length1

Characters and Unicode

Total characters105847
Distinct characters874
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7580 ?
Unique (%)75.8%

Sample

1st row고잔이마트
2nd row택시안 & 길거리
3rd row부천시 이하 불상
4th row동안구 관양동 대우@ 앞 징검다리
5th row부곡로 139 청춘호프
ValueCountFrequency (%)
앞 670
 
2.7%
노상 659
 
2.6%
버스 527
 
2.1%
부근 431
 
1.7%
인근 389
 
1.5%
불상 340
 
1.3%
근처 332
 
1.3%
내 313
 
1.2%
택시 313
 
1.2%
안 292
 
1.2%
Other values (9094) 20982
83.1%
2023-12-11T06:41:57.819556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15812
 
14.9%
동 2291
 
2.2%
시 1886
 
1.8%
스 1645
 
1.6%
상 1633
 
1.5%
역 1610
 
1.5%
근 1596
 
1.5%
1 1489
 
1.4%
원 1378
 
1.3%
지 1340
 
1.3%
Other values (864) 75167
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79492
75.1%
Space Separator 15812
 
14.9%
Decimal Number 7225
 
6.8%
Other Punctuation 685
 
0.6%
Uppercase Letter 552
 
0.5%
Lowercase Letter 523
 
0.5%
Dash Punctuation 515
 
0.5%
Open Punctuation 409
 
0.4%
Close Punctuation 406
 
0.4%
Math Symbol 227
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2291
 
2.9%
시 1886
 
2.4%
스 1645
 
2.1%
상 1633
 
2.1%
역 1610
 
2.0%
근 1596
 
2.0%
원 1378
 
1.7%
지 1340
 
1.7%
장 1335
 
1.7%
버 1210
 
1.5%
Other values (788) 63568
80.0%
Uppercase Letter
ValueCountFrequency (%)
C 96
17.4%
G 69
12.5%
S 56
10.1%
K 43
 
7.8%
A 40
 
7.2%
T 36
 
6.5%
I 29
 
5.3%
U 28
 
5.1%
M 21
 
3.8%
P 16
 
2.9%
Other values (15) 118
21.4%
Lowercase Letter
ValueCountFrequency (%)
c 75
14.3%
g 64
12.2%
t 48
9.2%
r 46
8.8%
o 44
8.4%
s 42
8.0%
k 32
 
6.1%
m 29
 
5.5%
a 24
 
4.6%
p 22
 
4.2%
Other values (12) 97
18.5%
Other Punctuation
ValueCountFrequency (%)
, 445
65.0%
. 81
 
11.8%
/ 45
 
6.6%
& 33
 
4.8%
; 31
 
4.5%
? 23
 
3.4%
: 11
 
1.6%
# 9
 
1.3%
@ 5
 
0.7%
! 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 1489
20.6%
5 1058
14.6%
2 966
13.4%
0 853
11.8%
3 765
10.6%
4 521
 
7.2%
7 455
 
6.3%
6 416
 
5.8%
8 355
 
4.9%
9 347
 
4.8%
Math Symbol
ValueCountFrequency (%)
~ 218
96.0%
> 8
 
3.5%
+ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
15812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 515
100.0%
Open Punctuation
ValueCountFrequency (%)
( 409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 406
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79491
75.1%
Common 25280
 
23.9%
Latin 1075
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2291
 
2.9%
시 1886
 
2.4%
스 1645
 
2.1%
상 1633
 
2.1%
역 1610
 
2.0%
근 1596
 
2.0%
원 1378
 
1.7%
지 1340
 
1.7%
장 1335
 
1.7%
버 1210
 
1.5%
Other values (787) 63567
80.0%
Latin
ValueCountFrequency (%)
C 96
 
8.9%
c 75
 
7.0%
G 69
 
6.4%
g 64
 
6.0%
S 56
 
5.2%
t 48
 
4.5%
r 46
 
4.3%
o 44
 
4.1%
K 43
 
4.0%
s 42
 
3.9%
Other values (37) 492
45.8%
Common
ValueCountFrequency (%)
15812
62.5%
1 1489
 
5.9%
5 1058
 
4.2%
2 966
 
3.8%
0 853
 
3.4%
3 765
 
3.0%
4 521
 
2.1%
- 515
 
2.0%
7 455
 
1.8%
, 445
 
1.8%
Other values (19) 2401
 
9.5%
Han
ValueCountFrequency (%)
行 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79467
75.1%
ASCII 26354
 
24.9%
Compat Jamo 24
 
< 0.1%
CJK 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15812
60.0%
1 1489
 
5.6%
5 1058
 
4.0%
2 966
 
3.7%
0 853
 
3.2%
3 765
 
2.9%
4 521
 
2.0%
- 515
 
2.0%
7 455
 
1.7%
, 445
 
1.7%
Other values (65) 3475
 
13.2%
Hangul
ValueCountFrequency (%)
동 2291
 
2.9%
시 1886
 
2.4%
스 1645
 
2.1%
상 1633
 
2.1%
역 1610
 
2.0%
근 1596
 
2.0%
원 1378
 
1.7%
지 1340
 
1.7%
장 1335
 
1.7%
버 1210
 
1.5%
Other values (778) 63543
80.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 13
54.2%
ㅋ 3
 
12.5%
ㆍ 2
 
8.3%
ㅊ 1
 
4.2%
ㅓ 1
 
4.2%
ㅡ 1
 
4.2%
ㅉ 1
 
4.2%
ㄷ 1
 
4.2%
ㄱ 1
 
4.2%
CJK
ValueCountFrequency (%)
行 1
100.0%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

물품분류명
Text

Distinct121
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:41:58.014283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.5053
Min length7

Characters and Unicode

Total characters105053
Distinct characters106
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

Unique40 ?
Unique (%)0.4%

Sample

1st row기타물품 > 기타
2nd row지갑 > 남성용 지갑
3rd row자동차 > 자동차번호판
4th row기타물품 > 기타
5th row휴대폰 > 삼성휴대폰
ValueCountFrequency (%)
10000
29.1%
지갑 8626
25.1%
남성용 2265
 
6.6%
휴대폰 1674
 
4.9%
여성용 1552
 
4.5%
자동차 936
 
2.7%
가방 931
 
2.7%
삼성휴대폰 909
 
2.6%
기타 894
 
2.6%
자동차번호판 848
 
2.5%
Other values (62) 5726
16.7%
2023-12-11T06:41:58.340587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24361
23.2%
> 10000
 
9.5%
지 8666
 
8.2%
갑 8626
 
8.2%
성 5551
 
5.3%
용 5124
 
4.9%
기 3379
 
3.2%
폰 3223
 
3.1%
남 2786
 
2.7%
휴 2736
 
2.6%
Other values (96) 30601
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70114
66.7%
Space Separator 24361
 
23.2%
Math Symbol 10000
 
9.5%
Uppercase Letter 405
 
0.4%
Open Punctuation 76
 
0.1%
Close Punctuation 76
 
0.1%
Decimal Number 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8666
 
12.4%
갑 8626
 
12.3%
성 5551
 
7.9%
용 5124
 
7.3%
기 3379
 
4.8%
폰 3223
 
4.6%
남 2786
 
4.0%
휴 2736
 
3.9%
대 2736
 
3.9%
자 2360
 
3.4%
Other values (85) 24927
35.6%
Uppercase Letter
ValueCountFrequency (%)
G 162
40.0%
L 162
40.0%
P 38
 
9.4%
M 25
 
6.2%
A 9
 
2.2%
D 9
 
2.2%
Space Separator
ValueCountFrequency (%)
24361
100.0%
Math Symbol
ValueCountFrequency (%)
> 10000
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Decimal Number
ValueCountFrequency (%)
3 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70114
66.7%
Common 34534
32.9%
Latin 405
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8666
 
12.4%
갑 8626
 
12.3%
성 5551
 
7.9%
용 5124
 
7.3%
기 3379
 
4.8%
폰 3223
 
4.6%
남 2786
 
4.0%
휴 2736
 
3.9%
대 2736
 
3.9%
자 2360
 
3.4%
Other values (85) 24927
35.6%
Latin
ValueCountFrequency (%)
G 162
40.0%
L 162
40.0%
P 38
 
9.4%
M 25
 
6.2%
A 9
 
2.2%
D 9
 
2.2%
Common
ValueCountFrequency (%)
24361
70.5%
> 10000
29.0%
( 76
 
0.2%
) 76
 
0.2%
3 21
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70114
66.7%
ASCII 34939
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24361
69.7%
> 10000
28.6%
G 162
 
0.5%
L 162
 
0.5%
( 76
 
0.2%
) 76
 
0.2%
P 38
 
0.1%
M 25
 
0.1%
3 21
 
0.1%
A 9
 
< 0.1%
Hangul
ValueCountFrequency (%)
지 8666
 
12.4%
갑 8626
 
12.3%
성 5551
 
7.9%
용 5124
 
7.3%
기 3379
 
4.8%
폰 3223
 
4.6%
남 2786
 
4.0%
휴 2736
 
3.9%
대 2736
 
3.9%
자 2360
 
3.4%
Other values (85) 24927
35.6%

관리아이디
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:41:58.508811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters170000
Distinct characters11
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowL2021040200000617
2nd rowL2022052800000161
3rd rowL2021071200000529
4th rowL2021062300000533
5th rowL2021103000000072
ValueCountFrequency (%)
l2021040200000617 1
 
< 0.1%
l2021052400000287 1
 
< 0.1%
l2022071800000523 1
 
< 0.1%
l2022111400001012 1
 
< 0.1%
l2021031000000352 1
 
< 0.1%
l2022032900000124 1
 
< 0.1%
l2021051900000288 1
 
< 0.1%
l2022071900000182 1
 
< 0.1%
l2023010600000724 1
 
< 0.1%
l2021081800000107 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-11T06:41:58.794326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75312
44.3%
2 32905
19.4%
1 17359
 
10.2%
L 10000
 
5.9%
3 6048
 
3.6%
5 5580
 
3.3%
6 5289
 
3.1%
4 5288
 
3.1%
7 4616
 
2.7%
8 3853
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
94.1%
Uppercase Letter 10000
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75312
47.1%
2 32905
20.6%
1 17359
 
10.8%
3 6048
 
3.8%
5 5580
 
3.5%
6 5289
 
3.3%
4 5288
 
3.3%
7 4616
 
2.9%
8 3853
 
2.4%
9 3750
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
L 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160000
94.1%
Latin 10000
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75312
47.1%
2 32905
20.6%
1 17359
 
10.8%
3 6048
 
3.8%
5 5580
 
3.5%
6 5289
 
3.3%
4 5288
 
3.3%
7 4616
 
2.9%
8 3853
 
2.4%
9 3750
 
2.3%
Latin
ValueCountFrequency (%)
L 10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 170000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75312
44.3%
2 32905
19.4%
1 17359
 
10.2%
L 10000
 
5.9%
3 6048
 
3.6%
5 5580
 
3.3%
6 5289
 
3.1%
4 5288
 
3.1%
7 4616
 
2.7%
8 3853
 
2.3%

분실물품내역
Text

Distinct5988
Distinct (%)59.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:41:59.066513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length71
Mean length10.5333
Min length1

Characters and Unicode

Total characters105333
Distinct characters874
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5347 ?
Unique (%)53.5%

Sample

1st row안산시 자전거
2nd row보테가베네타 지갑
3rd row차량 앞번호판
4th row인공와우기(어음처리기)
5th row갤럭시 Z플립 2 (블랙)
ValueCountFrequency (%)
지갑 1370
 
5.7%
카드지갑 811
 
3.3%
반지갑 799
 
3.3%
남성용 475
 
2.0%
검정색 449
 
1.9%
번호판 424
 
1.7%
갤럭시 357
 
1.5%
자동차 339
 
1.4%
운전면허증 272
 
1.1%
삼성 247
 
1.0%
Other values (5165) 18690
77.1%
2023-12-11T06:41:59.505175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14764
 
14.0%
지 4705
 
4.5%
갑 4335
 
4.1%
드 2300
 
2.2%
이 2213
 
2.1%
성 1999
 
1.9%
카 1943
 
1.8%
색 1896
 
1.8%
, 1417
 
1.3%
스 1353
 
1.3%
Other values (864) 68408
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79806
75.8%
Space Separator 14764
 
14.0%
Decimal Number 3092
 
2.9%
Other Punctuation 1702
 
1.6%
Uppercase Letter 1663
 
1.6%
Lowercase Letter 1536
 
1.5%
Open Punctuation 1307
 
1.2%
Close Punctuation 1294
 
1.2%
Math Symbol 103
 
0.1%
Dash Punctuation 56
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4705
 
5.9%
갑 4335
 
5.4%
드 2300
 
2.9%
이 2213
 
2.8%
성 1999
 
2.5%
카 1943
 
2.4%
색 1896
 
2.4%
스 1353
 
1.7%
폰 1263
 
1.6%
남 1157
 
1.4%
Other values (781) 56642
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 243
14.6%
A 173
 
10.4%
L 170
 
10.2%
G 170
 
10.2%
M 86
 
5.2%
E 71
 
4.3%
C 70
 
4.2%
P 58
 
3.5%
X 55
 
3.3%
T 54
 
3.2%
Other values (16) 513
30.8%
Lowercase Letter
ValueCountFrequency (%)
s 179
11.7%
o 143
 
9.3%
r 132
 
8.6%
m 116
 
7.6%
e 107
 
7.0%
p 104
 
6.8%
a 103
 
6.7%
c 88
 
5.7%
l 75
 
4.9%
i 60
 
3.9%
Other values (16) 429
27.9%
Other Punctuation
ValueCountFrequency (%)
, 1417
83.3%
. 159
 
9.3%
/ 52
 
3.1%
& 19
 
1.1%
; 16
 
0.9%
* 11
 
0.6%
? 11
 
0.6%
# 10
 
0.6%
! 3
 
0.2%
: 3
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 859
27.8%
2 643
20.8%
5 601
19.4%
0 360
11.6%
3 255
 
8.2%
9 98
 
3.2%
4 90
 
2.9%
8 67
 
2.2%
6 60
 
1.9%
7 59
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 1305
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1292
99.8%
] 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 101
98.1%
~ 2
 
1.9%
Space Separator
ValueCountFrequency (%)
14764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79806
75.8%
Common 22327
 
21.2%
Latin 3200
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4705
 
5.9%
갑 4335
 
5.4%
드 2300
 
2.9%
이 2213
 
2.8%
성 1999
 
2.5%
카 1943
 
2.4%
색 1896
 
2.4%
스 1353
 
1.7%
폰 1263
 
1.6%
남 1157
 
1.4%
Other values (781) 56642
71.0%
Latin
ValueCountFrequency (%)
S 243
 
7.6%
s 179
 
5.6%
A 173
 
5.4%
L 170
 
5.3%
G 170
 
5.3%
o 143
 
4.5%
r 132
 
4.1%
m 116
 
3.6%
e 107
 
3.3%
p 104
 
3.2%
Other values (43) 1663
52.0%
Common
ValueCountFrequency (%)
14764
66.1%
, 1417
 
6.3%
( 1305
 
5.8%
) 1292
 
5.8%
1 859
 
3.8%
2 643
 
2.9%
5 601
 
2.7%
0 360
 
1.6%
3 255
 
1.1%
. 159
 
0.7%
Other values (20) 672
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79797
75.8%
ASCII 25526
 
24.2%
Compat Jamo 9
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14764
57.8%
, 1417
 
5.6%
( 1305
 
5.1%
) 1292
 
5.1%
1 859
 
3.4%
2 643
 
2.5%
5 601
 
2.4%
0 360
 
1.4%
3 255
 
1.0%
S 243
 
1.0%
Other values (72) 3787
 
14.8%
Hangul
ValueCountFrequency (%)
지 4705
 
5.9%
갑 4335
 
5.4%
드 2300
 
2.9%
이 2213
 
2.8%
성 1999
 
2.5%
카 1943
 
2.4%
색 1896
 
2.4%
스 1353
 
1.7%
폰 1263
 
1.6%
남 1157
 
1.4%
Other values (776) 56633
71.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 3
33.3%
ㅇ 2
22.2%
ㅣ 2
22.2%
ㅡ 1
 
11.1%
ㅂ 1
 
11.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

게시내용
Text

Distinct6915
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:41:59.786317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length70
Mean length20.9562
Min length1

Characters and Unicode

Total characters209562
Distinct characters879
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6278 ?
Unique (%)62.8%

Sample

1st row안산시 자전거
2nd row지갑분실
3rd row차량 앞번호판(블랙(검정)색)을 분실하였습니다.
4th row인공와우기(어음처리기)(그레이(회)색)을 분실하였습니다.
5th row갤럭시 Z플립 2 (블랙)(블랙(검정)색)을 분실하였습니다.
ValueCountFrequency (%)
분실하였습니다 5342
 
17.5%
분실 1374
 
4.5%
지갑 873
 
2.9%
카드지갑 509
 
1.7%
남성용 464
 
1.5%
검정색 434
 
1.4%
자동차 336
 
1.1%
반지갑 325
 
1.1%
갤럭시 318
 
1.0%
지갑분실 278
 
0.9%
Other values (6829) 20322
66.5%
2023-12-11T06:42:00.388274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20815
 
9.9%
( 11630
 
5.5%
) 11621
 
5.5%
분 8111
 
3.9%
실 7587
 
3.6%
색 7060
 
3.4%
다 6064
 
2.9%
니 5984
 
2.9%
습 5776
 
2.8%
을 5646
 
2.7%
Other values (869) 119268
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153110
73.1%
Space Separator 20815
 
9.9%
Open Punctuation 11635
 
5.6%
Close Punctuation 11626
 
5.5%
Other Punctuation 6775
 
3.2%
Decimal Number 2866
 
1.4%
Uppercase Letter 1447
 
0.7%
Lowercase Letter 1127
 
0.5%
Math Symbol 94
 
< 0.1%
Dash Punctuation 61
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 8111
 
5.3%
실 7587
 
5.0%
색 7060
 
4.6%
다 6064
 
4.0%
니 5984
 
3.9%
습 5776
 
3.8%
을 5646
 
3.7%
하 5554
 
3.6%
였 5367
 
3.5%
지 5036
 
3.3%
Other values (786) 90925
59.4%
Uppercase Letter
ValueCountFrequency (%)
S 214
14.8%
L 156
 
10.8%
A 155
 
10.7%
G 147
 
10.2%
M 72
 
5.0%
E 70
 
4.8%
C 65
 
4.5%
O 47
 
3.2%
X 47
 
3.2%
R 46
 
3.2%
Other values (16) 428
29.6%
Lowercase Letter
ValueCountFrequency (%)
s 147
13.0%
o 104
 
9.2%
r 96
 
8.5%
p 88
 
7.8%
m 85
 
7.5%
a 72
 
6.4%
e 70
 
6.2%
c 65
 
5.8%
l 52
 
4.6%
g 50
 
4.4%
Other values (16) 298
26.4%
Other Punctuation
ValueCountFrequency (%)
. 5611
82.8%
, 1058
 
15.6%
/ 50
 
0.7%
& 13
 
0.2%
? 12
 
0.2%
; 10
 
0.1%
! 9
 
0.1%
* 7
 
0.1%
: 3
 
< 0.1%
@ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 792
27.6%
5 598
20.9%
2 576
20.1%
0 330
11.5%
3 233
 
8.1%
9 85
 
3.0%
4 83
 
2.9%
8 61
 
2.1%
6 55
 
1.9%
7 53
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 11630
> 99.9%
[ 5
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 11621
> 99.9%
] 5
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 84
89.4%
~ 10
 
10.6%
Space Separator
ValueCountFrequency (%)
20815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153109
73.1%
Common 53877
 
25.7%
Latin 2575
 
1.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
분 8111
 
5.3%
실 7587
 
5.0%
색 7060
 
4.6%
다 6064
 
4.0%
니 5984
 
3.9%
습 5776
 
3.8%
을 5646
 
3.7%
하 5554
 
3.6%
였 5367
 
3.5%
지 5036
 
3.3%
Other values (785) 90924
59.4%
Latin
ValueCountFrequency (%)
S 214
 
8.3%
L 156
 
6.1%
A 155
 
6.0%
s 147
 
5.7%
G 147
 
5.7%
o 104
 
4.0%
r 96
 
3.7%
p 88
 
3.4%
m 85
 
3.3%
a 72
 
2.8%
Other values (43) 1311
50.9%
Common
ValueCountFrequency (%)
20815
38.6%
( 11630
21.6%
) 11621
21.6%
. 5611
 
10.4%
, 1058
 
2.0%
1 792
 
1.5%
5 598
 
1.1%
2 576
 
1.1%
0 330
 
0.6%
3 233
 
0.4%
Other values (20) 613
 
1.1%
Han
ValueCountFrequency (%)
有 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153047
73.0%
ASCII 56451
 
26.9%
Compat Jamo 62
 
< 0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20815
36.9%
( 11630
20.6%
) 11621
20.6%
. 5611
 
9.9%
, 1058
 
1.9%
1 792
 
1.4%
5 598
 
1.1%
2 576
 
1.0%
0 330
 
0.6%
3 233
 
0.4%
Other values (72) 3187
 
5.6%
Hangul
ValueCountFrequency (%)
분 8111
 
5.3%
실 7587
 
5.0%
색 7060
 
4.6%
다 6064
 
4.0%
니 5984
 
3.9%
습 5776
 
3.8%
을 5646
 
3.7%
하 5554
 
3.6%
였 5367
 
3.5%
지 5036
 
3.3%
Other values (780) 90862
59.4%
Compat Jamo
ValueCountFrequency (%)
ㅠ 48
77.4%
ㅜ 9
 
14.5%
ㅇ 2
 
3.2%
ㅣ 2
 
3.2%
ㅂ 1
 
1.6%
CJK
ValueCountFrequency (%)
有 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

Missing values

2023-12-11T06:41:56.646632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:41:56.744312image/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

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