Overview

Dataset statistics

Number of variables6
Number of observations3742
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory175.5 KiB
Average record size in memory48.0 B

Variable types

Text4
Categorical2

Dataset

Description장성군립도서관에 보유중인 비도서로, DVD매체로 구입된 영화 목록(등록번호,DVD명,저작자,발행자,발행년도)
Author전라남도 장성군
URLhttps://www.data.go.kr/data/15063775/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:38:43.498501
Analysis finished2023-12-16 15:38:49.473615
Duration5.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct3742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
2023-12-16T15:38:50.010816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length12.00294
Min length12

Characters and Unicode

Total characters44915
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3742 ?
Unique (%)100.0%

Sample

1st rowNM0000000018
2nd rowNM0000000025
3rd rowNM0000000029
4th rowNM0000000182
5th rowNM0000000190
ValueCountFrequency (%)
nm0000000018 1
 
< 0.1%
nm0000010659 1
 
< 0.1%
nm0000010648 1
 
< 0.1%
nm0000010674 1
 
< 0.1%
nm0000010649 1
 
< 0.1%
nm0000010650 1
 
< 0.1%
nm0000010651 1
 
< 0.1%
nm0000010652 1
 
< 0.1%
nm0000010653 1
 
< 0.1%
nm0000010654 1
 
< 0.1%
Other values (3732) 3732
99.7%
2023-12-16T15:38:51.582529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22595
50.3%
N 3742
 
8.3%
M 3742
 
8.3%
1 2958
 
6.6%
3 2048
 
4.6%
5 1713
 
3.8%
9 1649
 
3.7%
2 1487
 
3.3%
6 1322
 
2.9%
8 1273
 
2.8%
Other values (3) 2386
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37430
83.3%
Uppercase Letter 7484
 
16.7%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22595
60.4%
1 2958
 
7.9%
3 2048
 
5.5%
5 1713
 
4.6%
9 1649
 
4.4%
2 1487
 
4.0%
6 1322
 
3.5%
8 1273
 
3.4%
7 1211
 
3.2%
4 1174
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
N 3742
50.0%
M 3742
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37431
83.3%
Latin 7484
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22595
60.4%
1 2958
 
7.9%
3 2048
 
5.5%
5 1713
 
4.6%
9 1649
 
4.4%
2 1487
 
4.0%
6 1322
 
3.5%
8 1273
 
3.4%
7 1211
 
3.2%
4 1174
 
3.1%
Latin
ValueCountFrequency (%)
N 3742
50.0%
M 3742
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22595
50.3%
N 3742
 
8.3%
M 3742
 
8.3%
1 2958
 
6.6%
3 2048
 
4.6%
5 1713
 
3.8%
9 1649
 
3.7%
2 1487
 
3.3%
6 1322
 
2.9%
8 1273
 
2.8%
Other values (3) 2386
 
5.3%

제목
Text

Distinct3689
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
2023-12-16T15:38:52.568591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length67
Mean length19.540086
Min length1

Characters and Unicode

Total characters73119
Distinct characters1533
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3641 ?
Unique (%)97.3%

Sample

1st row그리스로마 신화 : 전설의 수호자들. 1-4
2nd row三國志. 1-3
3rd row三國志. 1-28
4th row우주대기행. 1-8
5th row첨단보고 뇌 과학. 1-3
ValueCountFrequency (%)
2624
 
14.6%
the 512
 
2.8%
2 187
 
1.0%
of 159
 
0.9%
3 108
 
0.6%
1 97
 
0.5%
a 78
 
0.4%
and 69
 
0.4%
더 65
 
0.4%
오브 54
 
0.3%
Other values (8125) 14030
78.0%
2023-12-16T15:38:54.434377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14279
 
19.5%
e 2797
 
3.8%
a 1865
 
2.6%
= 1849
 
2.5%
o 1732
 
2.4%
n 1556
 
2.1%
i 1539
 
2.1%
r 1506
 
2.1%
t 1464
 
2.0%
s 1262
 
1.7%
Other values (1523) 43270
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28241
38.6%
Lowercase Letter 21225
29.0%
Space Separator 14279
19.5%
Uppercase Letter 3306
 
4.5%
Other Punctuation 2311
 
3.2%
Math Symbol 1861
 
2.5%
Decimal Number 1310
 
1.8%
Open Punctuation 225
 
0.3%
Close Punctuation 225
 
0.3%
Dash Punctuation 130
 
0.2%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 920
 
3.3%
스 863
 
3.1%
이 844
 
3.0%
리 565
 
2.0%
아 404
 
1.4%
트 381
 
1.3%
사 325
 
1.2%
다 312
 
1.1%
라 304
 
1.1%
기 301
 
1.1%
Other values (1424) 23022
81.5%
Lowercase Letter
ValueCountFrequency (%)
e 2797
13.2%
a 1865
 
8.8%
o 1732
 
8.2%
n 1556
 
7.3%
i 1539
 
7.3%
r 1506
 
7.1%
t 1464
 
6.9%
s 1262
 
5.9%
l 1075
 
5.1%
h 1042
 
4.9%
Other values (17) 5387
25.4%
Uppercase Letter
ValueCountFrequency (%)
T 478
14.5%
S 366
 
11.1%
B 256
 
7.7%
M 238
 
7.2%
A 216
 
6.5%
C 172
 
5.2%
D 163
 
4.9%
L 144
 
4.4%
E 141
 
4.3%
R 115
 
3.5%
Other values (16) 1017
30.8%
Other Punctuation
ValueCountFrequency (%)
: 1007
43.6%
. 697
30.2%
, 359
 
15.5%
' 86
 
3.7%
! 64
 
2.8%
& 34
 
1.5%
? 24
 
1.0%
/ 9
 
0.4%
· 8
 
0.3%
" 7
 
0.3%
Other values (9) 16
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 329
25.1%
1 282
21.5%
3 178
13.6%
0 154
11.8%
4 113
 
8.6%
5 89
 
6.8%
7 50
 
3.8%
6 48
 
3.7%
8 35
 
2.7%
9 32
 
2.4%
Math Symbol
ValueCountFrequency (%)
= 1849
99.4%
+ 3
 
0.2%
> 3
 
0.2%
< 3
 
0.2%
~ 3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 189
84.0%
[ 35
 
15.6%
「 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 189
84.0%
] 35
 
15.6%
」 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅲ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
14279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27157
37.1%
Latin 24535
33.6%
Common 20343
27.8%
Han 557
 
0.8%
Hiragana 298
 
0.4%
Katakana 229
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 920
 
3.4%
스 863
 
3.2%
이 844
 
3.1%
리 565
 
2.1%
아 404
 
1.5%
트 381
 
1.4%
사 325
 
1.2%
다 312
 
1.1%
라 304
 
1.1%
기 301
 
1.1%
Other values (957) 21938
80.8%
Han
ValueCountFrequency (%)
一 11
 
2.0%
人 8
 
1.4%
日 8
 
1.4%
名 7
 
1.3%
探 6
 
1.1%
子 6
 
1.1%
偵 6
 
1.1%
愛 6
 
1.1%
葉 5
 
0.9%
小 5
 
0.9%
Other values (338) 489
87.8%
Katakana
ValueCountFrequency (%)
ン 27
 
11.8%
ル 14
 
6.1%
ト 11
 
4.8%
ナ 10
 
4.4%
リ 8
 
3.5%
バ 7
 
3.1%
イ 7
 
3.1%
フ 7
 
3.1%
ド 6
 
2.6%
コ 6
 
2.6%
Other values (51) 126
55.0%
Hiragana
ValueCountFrequency (%)
の 48
 
16.1%
と 18
 
6.0%
い 15
 
5.0%
し 11
 
3.7%
く 10
 
3.4%
ん 10
 
3.4%
た 9
 
3.0%
ち 8
 
2.7%
ら 7
 
2.3%
る 7
 
2.3%
Other values (48) 155
52.0%
Latin
ValueCountFrequency (%)
e 2797
 
11.4%
a 1865
 
7.6%
o 1732
 
7.1%
n 1556
 
6.3%
i 1539
 
6.3%
r 1506
 
6.1%
t 1464
 
6.0%
s 1262
 
5.1%
l 1075
 
4.4%
h 1042
 
4.2%
Other values (45) 8697
35.4%
Common
ValueCountFrequency (%)
14279
70.2%
= 1849
 
9.1%
: 1007
 
5.0%
. 697
 
3.4%
, 359
 
1.8%
2 329
 
1.6%
1 282
 
1.4%
( 189
 
0.9%
) 189
 
0.9%
3 178
 
0.9%
Other values (34) 985
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44849
61.3%
Hangul 27154
37.1%
CJK 552
 
0.8%
Hiragana 298
 
0.4%
Katakana 229
 
0.3%
None 24
 
< 0.1%
CJK Compat Ideographs 5
 
< 0.1%
Number Forms 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14279
31.8%
e 2797
 
6.2%
a 1865
 
4.2%
= 1849
 
4.1%
o 1732
 
3.9%
n 1556
 
3.5%
i 1539
 
3.4%
r 1506
 
3.4%
t 1464
 
3.3%
s 1262
 
2.8%
Other values (76) 15000
33.4%
Hangul
ValueCountFrequency (%)
의 920
 
3.4%
스 863
 
3.2%
이 844
 
3.1%
리 565
 
2.1%
아 404
 
1.5%
트 381
 
1.4%
사 325
 
1.2%
다 312
 
1.1%
라 304
 
1.1%
기 301
 
1.1%
Other values (955) 21935
80.8%
Hiragana
ValueCountFrequency (%)
の 48
 
16.1%
と 18
 
6.0%
い 15
 
5.0%
し 11
 
3.7%
く 10
 
3.4%
ん 10
 
3.4%
た 9
 
3.0%
ち 8
 
2.7%
ら 7
 
2.3%
る 7
 
2.3%
Other values (48) 155
52.0%
Katakana
ValueCountFrequency (%)
ン 27
 
11.8%
ル 14
 
6.1%
ト 11
 
4.8%
ナ 10
 
4.4%
リ 8
 
3.5%
バ 7
 
3.1%
イ 7
 
3.1%
フ 7
 
3.1%
ド 6
 
2.6%
コ 6
 
2.6%
Other values (51) 126
55.0%
CJK
ValueCountFrequency (%)
一 11
 
2.0%
人 8
 
1.4%
日 8
 
1.4%
名 7
 
1.3%
探 6
 
1.1%
子 6
 
1.1%
偵 6
 
1.1%
愛 6
 
1.1%
葉 5
 
0.9%
小 5
 
0.9%
Other values (333) 484
87.7%
None
ValueCountFrequency (%)
· 8
33.3%
。 6
25.0%
！ 2
 
8.3%
、 2
 
8.3%
」 1
 
4.2%
æ 1
 
4.2%
「 1
 
4.2%
＆ 1
 
4.2%
． 1
 
4.2%
％ 1
 
4.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
75.0%
Ⅲ 1
 
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 2
66.7%
ㆍ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
20.0%
宅 1
20.0%
戀 1
20.0%
茶 1
20.0%
冷 1
20.0%
Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

저작자
Text

Distinct2904
Distinct (%)77.6%
Missing1
Missing (%)< 0.1%
Memory size29.4 KiB
2023-12-16T15:38:55.504233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length51
Mean length15.483293
Min length2

Characters and Unicode

Total characters57923
Distinct characters785
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

Unique2605 ?
Unique (%)69.6%

Sample

1st row비엠코리아 제작
2nd row비엠코리아 [제작]
3rd row왕부림 총감독
4th rowKBS Media [제작]
5th row이진영 연출
ValueCountFrequency (%)
감독 1840
 
13.7%
주연 768
 
5.7%
공]주연 379
 
2.8%
제작 281
 
2.1%
공 244
 
1.8%
ebs 159
 
1.2%
공]감독 105
 
0.8%
장성군 86
 
0.6%
마이클 57
 
0.4%
존 54
 
0.4%
Other values (5580) 9436
70.4%
2023-12-16T15:38:57.289868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9679
 
16.7%
감 3145
 
5.4%
독 3141
 
5.4%
; 3083
 
5.3%
스 1479
 
2.6%
이 1368
 
2.4%
연 1282
 
2.2%
주 1254
 
2.2%
리 963
 
1.7%
] 836
 
1.4%
Other values (775) 31693
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41597
71.8%
Space Separator 9679
 
16.7%
Other Punctuation 3441
 
5.9%
Uppercase Letter 1069
 
1.8%
Close Punctuation 836
 
1.4%
Open Punctuation 836
 
1.4%
Lowercase Letter 442
 
0.8%
Dash Punctuation 20
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
감 3145
 
7.6%
독 3141
 
7.6%
스 1479
 
3.6%
이 1368
 
3.3%
연 1282
 
3.1%
주 1254
 
3.0%
리 963
 
2.3%
공 787
 
1.9%
드 592
 
1.4%
제 551
 
1.3%
Other values (717) 27035
65.0%
Uppercase Letter
ValueCountFrequency (%)
S 283
26.5%
B 256
23.9%
E 207
19.4%
K 45
 
4.2%
L 25
 
2.3%
J 24
 
2.2%
C 24
 
2.2%
I 19
 
1.8%
T 19
 
1.8%
O 19
 
1.8%
Other values (14) 148
13.8%
Lowercase Letter
ValueCountFrequency (%)
e 55
12.4%
n 43
 
9.7%
i 42
 
9.5%
r 41
 
9.3%
o 40
 
9.0%
a 39
 
8.8%
t 22
 
5.0%
c 19
 
4.3%
h 16
 
3.6%
d 16
 
3.6%
Other values (13) 109
24.7%
Other Punctuation
ValueCountFrequency (%)
; 3083
89.6%
: 156
 
4.5%
. 115
 
3.3%
, 58
 
1.7%
· 28
 
0.8%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
9679
100.0%
Close Punctuation
ValueCountFrequency (%)
] 836
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Decimal Number
ValueCountFrequency (%)
4 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41597
71.8%
Common 14815
 
25.6%
Latin 1511
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
감 3145
 
7.6%
독 3141
 
7.6%
스 1479
 
3.6%
이 1368
 
3.3%
연 1282
 
3.1%
주 1254
 
3.0%
리 963
 
2.3%
공 787
 
1.9%
드 592
 
1.4%
제 551
 
1.3%
Other values (717) 27035
65.0%
Latin
ValueCountFrequency (%)
S 283
18.7%
B 256
16.9%
E 207
13.7%
e 55
 
3.6%
K 45
 
3.0%
n 43
 
2.8%
i 42
 
2.8%
r 41
 
2.7%
o 40
 
2.6%
a 39
 
2.6%
Other values (37) 460
30.4%
Common
ValueCountFrequency (%)
9679
65.3%
; 3083
 
20.8%
] 836
 
5.6%
[ 836
 
5.6%
: 156
 
1.1%
. 115
 
0.8%
, 58
 
0.4%
· 28
 
0.2%
- 20
 
0.1%
4 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41594
71.8%
ASCII 16298
 
28.1%
None 28
 
< 0.1%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9679
59.4%
; 3083
 
18.9%
] 836
 
5.1%
[ 836
 
5.1%
S 283
 
1.7%
B 256
 
1.6%
E 207
 
1.3%
: 156
 
1.0%
. 115
 
0.7%
, 58
 
0.4%
Other values (47) 789
 
4.8%
Hangul
ValueCountFrequency (%)
감 3145
 
7.6%
독 3141
 
7.6%
스 1479
 
3.6%
이 1368
 
3.3%
연 1282
 
3.1%
주 1254
 
3.0%
리 963
 
2.3%
공 787
 
1.9%
드 592
 
1.4%
제 551
 
1.3%
Other values (716) 27032
65.0%
None
ValueCountFrequency (%)
· 28
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

발행자
Text

Distinct512
Distinct (%)13.7%
Missing2
Missing (%)0.1%
Memory size29.4 KiB
2023-12-16T15:38:58.263622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length40
Mean length6.6195187
Min length2

Characters and Unicode

Total characters24757
Distinct characters324
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 (%)6.3%

Sample

1st row비엠코리아
2nd row비엠코리아
3rd row시네콤미디어
4th rowKBS Media
5th row빌트인씨디
ValueCountFrequency (%)
ebs 188
 
4.2%
비디오여행 164
 
3.7%
엔터테인먼트 163
 
3.6%
아트서비스 148
 
3.3%
cj 124
 
2.8%
월트디즈니 94
 
2.1%
케이디미디어 93
 
2.1%
인조인간 89
 
2.0%
장성군 86
 
1.9%
픽쳐스 77
 
1.7%
Other values (496) 3246
72.6%
2023-12-16T15:39:00.720801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1288
 
5.2%
디 1265
 
5.1%
트 926
 
3.7%
어 783
 
3.2%
미 765
 
3.1%
736
 
3.0%
인 719
 
2.9%
터 559
 
2.3%
이 555
 
2.2%
엔 554
 
2.2%
Other values (314) 16607
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19834
80.1%
Uppercase Letter 1920
 
7.8%
Lowercase Letter 1060
 
4.3%
Space Separator 736
 
3.0%
Close Punctuation 394
 
1.6%
Open Punctuation 394
 
1.6%
Other Punctuation 242
 
1.0%
Decimal Number 176
 
0.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1288
 
6.5%
디 1265
 
6.4%
트 926
 
4.7%
어 783
 
3.9%
미 765
 
3.9%
인 719
 
3.6%
터 559
 
2.8%
이 555
 
2.8%
엔 554
 
2.8%
비 489
 
2.5%
Other values (250) 11931
60.2%
Uppercase Letter
ValueCountFrequency (%)
E 346
18.0%
S 273
14.2%
B 261
13.6%
C 217
11.3%
J 186
9.7%
M 164
8.5%
K 145
7.6%
D 138
 
7.2%
N 30
 
1.6%
U 26
 
1.4%
Other values (14) 134
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
n 190
17.9%
t 167
15.8%
e 164
15.5%
i 111
10.5%
a 102
9.6%
m 77
7.3%
r 63
 
5.9%
d 57
 
5.4%
o 29
 
2.7%
u 21
 
2.0%
Other values (13) 79
7.5%
Other Punctuation
ValueCountFrequency (%)
· 129
53.3%
& 55
22.7%
: 42
 
17.4%
, 9
 
3.7%
. 4
 
1.7%
/ 3
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 84
47.7%
0 83
47.2%
4 7
 
4.0%
1 1
 
0.6%
8 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
] 388
98.5%
) 6
 
1.5%
Open Punctuation
ValueCountFrequency (%)
[ 388
98.5%
( 6
 
1.5%
Space Separator
ValueCountFrequency (%)
736
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19834
80.1%
Latin 2980
 
12.0%
Common 1943
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1288
 
6.5%
디 1265
 
6.4%
트 926
 
4.7%
어 783
 
3.9%
미 765
 
3.9%
인 719
 
3.6%
터 559
 
2.8%
이 555
 
2.8%
엔 554
 
2.8%
비 489
 
2.5%
Other values (250) 11931
60.2%
Latin
ValueCountFrequency (%)
E 346
 
11.6%
S 273
 
9.2%
B 261
 
8.8%
C 217
 
7.3%
n 190
 
6.4%
J 186
 
6.2%
t 167
 
5.6%
M 164
 
5.5%
e 164
 
5.5%
K 145
 
4.9%
Other values (37) 867
29.1%
Common
ValueCountFrequency (%)
736
37.9%
] 388
20.0%
[ 388
20.0%
· 129
 
6.6%
2 84
 
4.3%
0 83
 
4.3%
& 55
 
2.8%
: 42
 
2.2%
, 9
 
0.5%
4 7
 
0.4%
Other values (7) 22
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19834
80.1%
ASCII 4794
 
19.4%
None 129
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1288
 
6.5%
디 1265
 
6.4%
트 926
 
4.7%
어 783
 
3.9%
미 765
 
3.9%
인 719
 
3.6%
터 559
 
2.8%
이 555
 
2.8%
엔 554
 
2.8%
비 489
 
2.5%
Other values (250) 11931
60.2%
ASCII
ValueCountFrequency (%)
736
15.4%
] 388
 
8.1%
[ 388
 
8.1%
E 346
 
7.2%
S 273
 
5.7%
B 261
 
5.4%
C 217
 
4.5%
n 190
 
4.0%
J 186
 
3.9%
t 167
 
3.5%
Other values (53) 1642
34.3%
None
ValueCountFrequency (%)
· 129
100.0%

발행년
Categorical

Distinct28
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
2005
333 
2017
288 
2016
282 
2014
267 
2018
253 
Other values (23)
2319 

Length

Max length6
Median length4
Mean length4.0037413
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2003
2nd row2003
3rd row2003
4th row2004
5th row2003

Common Values

ValueCountFrequency (%)
2005 333
 
8.9%
2017 288
 
7.7%
2016 282
 
7.5%
2014 267
 
7.1%
2018 253
 
6.8%
2010 252
 
6.7%
2007 215
 
5.7%
2006 211
 
5.6%
2009 209
 
5.6%
2015 207
 
5.5%
Other values (18) 1225
32.7%

Length

2023-12-16T15:39:01.420670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2005 333
 
8.9%
2017 289
 
7.7%
2016 282
 
7.5%
2014 267
 
7.1%
2018 253
 
6.8%
2010 252
 
6.7%
2007 215
 
5.7%
2006 211
 
5.6%
2009 209
 
5.6%
2015 207
 
5.5%
Other values (17) 1224
32.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
2023-11-30
3742 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-30
2nd row2023-11-30
3rd row2023-11-30
4th row2023-11-30
5th row2023-11-30

Common Values

ValueCountFrequency (%)
2023-11-30 3742
100.0%

Length

2023-12-16T15:39:02.081785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:39:02.597871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-30 3742
100.0%

Missing values

2023-12-16T15:38:47.655987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:38:48.512649image/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.
2023-12-16T15:38:49.238488image/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

등록번호제목저작자발행자발행년데이터기준일자
0NM0000000018그리스로마 신화 : 전설의 수호자들. 1-4비엠코리아 제작비엠코리아20032023-11-30
1NM0000000025三國志. 1-3비엠코리아 [제작]비엠코리아20032023-11-30
2NM0000000029三國志. 1-28왕부림 총감독시네콤미디어20032023-11-30
3NM0000000182우주대기행. 1-8KBS Media [제작]KBS Media20042023-11-30
4NM0000000190첨단보고 뇌 과학. 1-3이진영 연출빌트인씨디20032023-11-30
5NM0000000193경이로운 지구Stewart, Patrick디스커버리채널20032023-11-30
6NM0000000194우주의 이해칸디스 버겐 나레이션디스커버리채널20022023-11-30
7NM0000000195태양은 살아 있다에버리 브룩스 나레이션디스커버리채널20032023-11-30
8NM0000000196우주정거장 탐사니슨, 리암 나레이션디스커버리채널20032023-11-30
9NM0000000197위성탐험존 리쓰고우 나레이션디스커버리채널20032023-11-30
등록번호제목저작자발행자발행년데이터기준일자
3732NM0000014198컴온컴온마이크 밀스인조인간20232023-11-30
3733NM0000014199자백윤종석노바미디어20232023-11-30
3734NM0000014200라일 라일 크로커다일조쉬 고든, 윌 스펙소니픽쳐스20232023-11-30
3735NM0000014201-0000014208핑크퐁 아기 상어 Baby Shark's Big Show 8종세트엠앤브이엠앤브이20232023-11-30
3736NM0000014209광대 : 소리꾼조정래미디어허브20232023-11-30
3737NM0000014210공기 살인조용선올라잇픽쳐스20232023-11-30
3738NM0000014211미혹김진영아이브엔터테인먼트20232023-11-30
3739NM0000014212존경하고 사랑하는 국민 여러분김진홍미디어포유20232023-11-30
3740NM0000014213레인보우 루비 4 : 잠자는 숲속의 키키 공주님김진아CJ엔터테인먼트20232023-11-30
3741NM0000014214뿌까 4 :고양이 도적단김진아CJ엔터테인먼트20232023-11-30