Overview

Dataset statistics

Number of variables61
Number of observations371
Missing cells10147
Missing cells (%)44.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory177.7 KiB
Average record size in memory490.4 B

Variable types

Numeric2
Text43
Categorical12
Unsupported4

Dataset

Description파일 다운로드
Author서울국제만화애니메이션페스티벌 조직위원회
URLhttps://data.seoul.go.kr/dataList/OA-12065/S/1/datasetView.do

Alerts

감독국문6 has constant value ""Constant
감독영문6 has constant value ""Constant
약력국문6 has constant value ""Constant
약력영문6 has constant value ""Constant
행종료 has constant value ""Constant
자막정보 is highly imbalanced (73.2%)Imbalance
상영포맷_기타 is highly imbalanced (61.4%)Imbalance
사운드 is highly imbalanced (50.6%)Imbalance
색상 is highly imbalanced (66.8%)Imbalance
약력국문4 is highly imbalanced (89.7%)Imbalance
약력영문4 is highly imbalanced (89.7%)Imbalance
약력국문5 is highly imbalanced (93.2%)Imbalance
약력영문5 is highly imbalanced (93.2%)Imbalance
제작년도 has 23 (6.2%) missing valuesMissing
프로듀서 has 192 (51.8%) missing valuesMissing
촬영 has 257 (69.3%) missing valuesMissing
시나리오 has 193 (52.0%) missing valuesMissing
편집 has 215 (58.0%) missing valuesMissing
애니메이션 has 196 (52.8%) missing valuesMissing
음악 has 195 (52.6%) missing valuesMissing
캐릭터 has 238 (64.2%) missing valuesMissing
음향 has 210 (56.6%) missing valuesMissing
배경 has 249 (67.1%) missing valuesMissing
기타 has 332 (89.5%) missing valuesMissing
제작기법 has 75 (20.2%) missing valuesMissing
사운드_기타 has 363 (97.8%) missing valuesMissing
영상비율 has 172 (46.4%) missing valuesMissing
영상비율_기타 has 368 (99.2%) missing valuesMissing
제작사국문 has 248 (66.8%) missing valuesMissing
제작사영문 has 218 (58.8%) missing valuesMissing
배급사국문 has 247 (66.6%) missing valuesMissing
배급사영문 has 233 (62.8%) missing valuesMissing
약력국문1 has 94 (25.3%) missing valuesMissing
약력영문1 has 94 (25.3%) missing valuesMissing
감독국문2 has 333 (89.8%) missing valuesMissing
감독영문2 has 333 (89.8%) missing valuesMissing
약력국문2 has 333 (89.8%) missing valuesMissing
약력영문2 has 333 (89.8%) missing valuesMissing
감독국문3 has 363 (97.8%) missing valuesMissing
감독영문3 has 363 (97.8%) missing valuesMissing
약력국문3 has 363 (97.8%) missing valuesMissing
약력영문3 has 363 (97.8%) missing valuesMissing
감독국문4 has 366 (98.7%) missing valuesMissing
감독영문4 has 366 (98.7%) missing valuesMissing
감독국문5 has 368 (99.2%) missing valuesMissing
감독영문5 has 368 (99.2%) missing valuesMissing
감독국문6 has 370 (99.7%) missing valuesMissing
감독영문6 has 370 (99.7%) missing valuesMissing
약력국문6 has 370 (99.7%) missing valuesMissing
약력영문6 has 370 (99.7%) missing valuesMissing
no has unique valuesUnique
러닝타임 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사운드_기타 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영상비율 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 05:03:06.768748
Analysis finished2023-12-11 05:03:12.313792
Duration5.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

no
Real number (ℝ)

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.85714
Minimum1
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T14:03:12.418315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.5
Q193.5
median186
Q3287.5
95-th percentile366.5
Maximum387
Range386
Interquartile range (IQR)194

Descriptive statistics

Standard deviation111.76993
Coefficient of variation (CV)0.58870543
Kurtosis-1.1992589
Mean189.85714
Median Absolute Deviation (MAD)97
Skewness0.053306679
Sum70437
Variance12492.517
MonotonicityStrictly increasing
2023-12-11T14:03:12.651253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
251 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
Other values (361) 361
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%

인덱스
Text

Distinct200
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:13.242372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.458221
Min length5

Characters and Unicode

Total characters2025
Distinct characters19
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

Unique165 ?
Unique (%)44.5%

Sample

1st rowIV-015
2nd rowF-001
3rd rowF-007
4th rowF-009
5th rowF-012
ValueCountFrequency (%)
iv-013 40
 
10.8%
iv-020 23
 
6.2%
iv-012 18
 
4.9%
iv-011 15
 
4.0%
iv-009 13
 
3.5%
iv-010 12
 
3.2%
iv-004 12
 
3.2%
iv-005 8
 
2.2%
iv-002 6
 
1.6%
iv-018 6
 
1.6%
Other values (190) 218
58.8%
2023-12-11T14:03:14.088214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 400
19.8%
- 371
18.3%
1 199
9.8%
I 170
8.4%
V 170
8.4%
3 112
 
5.5%
2 111
 
5.5%
P 71
 
3.5%
4 69
 
3.4%
S 58
 
2.9%
Other values (9) 294
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1113
55.0%
Uppercase Letter 541
26.7%
Dash Punctuation 371
 
18.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 400
35.9%
1 199
17.9%
3 112
 
10.1%
2 111
 
10.0%
4 69
 
6.2%
9 54
 
4.9%
5 50
 
4.5%
8 43
 
3.9%
6 38
 
3.4%
7 37
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
I 170
31.4%
V 170
31.4%
P 71
13.1%
S 58
 
10.7%
K 27
 
5.0%
C 23
 
4.3%
O 17
 
3.1%
F 5
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1484
73.3%
Latin 541
 
26.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 400
27.0%
- 371
25.0%
1 199
13.4%
3 112
 
7.5%
2 111
 
7.5%
4 69
 
4.6%
9 54
 
3.6%
5 50
 
3.4%
8 43
 
2.9%
6 38
 
2.6%
Latin
ValueCountFrequency (%)
I 170
31.4%
V 170
31.4%
P 71
13.1%
S 58
 
10.7%
K 27
 
5.0%
C 23
 
4.3%
O 17
 
3.1%
F 5
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 400
19.8%
- 371
18.3%
1 199
9.8%
I 170
8.4%
V 170
8.4%
3 112
 
5.5%
2 111
 
5.5%
P 71
 
3.5%
4 69
 
3.4%
S 58
 
2.9%
Other values (9) 294
14.5%

구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
경쟁부문
201 
초청부문
169 
개막작
 
1

Length

Max length4
Median length4
Mean length3.9973046
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row개막작
2nd row경쟁부문
3rd row경쟁부문
4th row경쟁부문
5th row경쟁부문

Common Values

ValueCountFrequency (%)
경쟁부문 201
54.2%
초청부문 169
45.6%
개막작 1
 
0.3%

Length

2023-12-11T14:03:14.315281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:14.478890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경쟁부문 201
54.2%
초청부문 169
45.6%
개막작 1
 
0.3%

카테고리
Categorical

Distinct15
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
월드 포커스
68 
학생부문
40 
제3의 앵글
40 
단편부문
38 
시카프초이스
30 
Other values (10)
155 

Length

Max length8
Median length6
Mean length5.6469003
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row개막작
2nd row장편부문
3rd row장편부문
4th row장편부문
5th row장편부문

Common Values

ValueCountFrequency (%)
월드 포커스 68
18.3%
학생부문 40
10.8%
제3의 앵글 40
10.8%
단편부문 38
10.2%
시카프초이스 30
8.1%
SICAF 시선 28
7.5%
KID부문 27
 
7.3%
쇼케이스 부문 23
 
6.2%
아시아의 빛 21
 
5.7%
온라인 부문 17
 
4.6%
Other values (5) 39
10.5%

Length

2023-12-11T14:03:14.706819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월드 68
11.7%
포커스 68
11.7%
부문 40
 
6.9%
학생부문 40
 
6.9%
제3의 40
 
6.9%
앵글 40
 
6.9%
단편부문 38
 
6.5%
시카프초이스 30
 
5.2%
sicaf 28
 
4.8%
시선 28
 
4.8%
Other values (11) 161
27.7%

섹션
Text

Distinct51
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:15.073107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.4555256
Min length3

Characters and Unicode

Total characters3508
Distinct characters139
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)3.5%

Sample

1st row개막작
2nd row장편부문1
3rd row장편부문2
4th row장편부문3
5th row장편부문4
ValueCountFrequency (%)
애니메이션 67
 
7.6%
폴란드 40
 
4.5%
차세대 40
 
4.5%
부문1 33
 
3.7%
kid부문 27
 
3.0%
시그라프 23
 
2.6%
2013 23
 
2.6%
쇼케이스 23
 
2.6%
특별전 23
 
2.6%
스파이크 18
 
2.0%
Other values (75) 570
64.3%
2023-12-11T14:03:15.711204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
516
 
14.7%
이 175
 
5.0%
문 150
 
4.3%
부 150
 
4.3%
1 101
 
2.9%
니 84
 
2.4%
션 83
 
2.4%
메 82
 
2.3%
애 82
 
2.3%
스 81
 
2.3%
Other values (129) 2004
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2502
71.3%
Space Separator 516
 
14.7%
Decimal Number 330
 
9.4%
Uppercase Letter 141
 
4.0%
Other Punctuation 11
 
0.3%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 175
 
7.0%
문 150
 
6.0%
부 150
 
6.0%
니 84
 
3.4%
션 83
 
3.3%
메 82
 
3.3%
애 82
 
3.3%
스 81
 
3.2%
라 54
 
2.2%
편 43
 
1.7%
Other values (113) 1518
60.7%
Decimal Number
ValueCountFrequency (%)
1 101
30.6%
2 77
23.3%
3 60
18.2%
4 48
14.5%
0 35
 
10.6%
5 9
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
I 42
29.8%
K 27
19.1%
D 27
19.1%
M 15
 
10.6%
A 15
 
10.6%
F 15
 
10.6%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
! 1
 
9.1%
Space Separator
ValueCountFrequency (%)
516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2502
71.3%
Common 865
 
24.7%
Latin 141
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 175
 
7.0%
문 150
 
6.0%
부 150
 
6.0%
니 84
 
3.4%
션 83
 
3.3%
메 82
 
3.3%
애 82
 
3.3%
스 81
 
3.2%
라 54
 
2.2%
편 43
 
1.7%
Other values (113) 1518
60.7%
Common
ValueCountFrequency (%)
516
59.7%
1 101
 
11.7%
2 77
 
8.9%
3 60
 
6.9%
4 48
 
5.5%
0 35
 
4.0%
, 10
 
1.2%
5 9
 
1.0%
- 8
 
0.9%
! 1
 
0.1%
Latin
ValueCountFrequency (%)
I 42
29.8%
K 27
19.1%
D 27
19.1%
M 15
 
10.6%
A 15
 
10.6%
F 15
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2502
71.3%
ASCII 1006
28.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
516
51.3%
1 101
 
10.0%
2 77
 
7.7%
3 60
 
6.0%
4 48
 
4.8%
I 42
 
4.2%
0 35
 
3.5%
K 27
 
2.7%
D 27
 
2.7%
M 15
 
1.5%
Other values (6) 58
 
5.8%
Hangul
ValueCountFrequency (%)
이 175
 
7.0%
문 150
 
6.0%
부 150
 
6.0%
니 84
 
3.4%
션 83
 
3.3%
메 82
 
3.3%
애 82
 
3.3%
스 81
 
3.2%
라 54
 
2.2%
편 43
 
1.7%
Other values (113) 1518
60.7%

작품명국문
Text

Distinct345
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:16.179055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length6.4932615
Min length1

Characters and Unicode

Total characters2409
Distinct characters493
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

Unique319 ?
Unique (%)86.0%

Sample

1st row메밀꽃, 운수 좋은 날 그리고 봄봄 - 한국단편문학애니메이션
2nd row소년과 세상
3rd row꿈틀이
4th row아내의 유혹
5th row우리별 일호와 얼룩소
ValueCountFrequency (%)
17
 
2.3%
내 9
 
1.2%
이야기 6
 
0.8%
홈 4
 
0.5%
검은 3
 
0.4%
안의 3
 
0.4%
날 3
 
0.4%
작은 3
 
0.4%
노래 3
 
0.4%
나나 3
 
0.4%
Other values (630) 694
92.8%
2023-12-11T14:03:16.797626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
383
 
15.9%
의 52
 
2.2%
이 51
 
2.1%
스 47
 
2.0%
리 45
 
1.9%
아 36
 
1.5%
마 26
 
1.1%
다 23
 
1.0%
프 23
 
1.0%
트 22
 
0.9%
Other values (483) 1701
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1908
79.2%
Space Separator 383
 
15.9%
Decimal Number 53
 
2.2%
Other Punctuation 25
 
1.0%
Dash Punctuation 22
 
0.9%
Uppercase Letter 9
 
0.4%
Modifier Symbol 4
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 52
 
2.7%
이 51
 
2.7%
스 47
 
2.5%
리 45
 
2.4%
아 36
 
1.9%
마 26
 
1.4%
다 23
 
1.2%
프 23
 
1.2%
트 22
 
1.2%
사 22
 
1.2%
Other values (456) 1561
81.8%
Decimal Number
ValueCountFrequency (%)
0 21
39.6%
1 10
18.9%
2 8
 
15.1%
3 4
 
7.5%
4 4
 
7.5%
7 3
 
5.7%
8 2
 
3.8%
5 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 13
52.0%
! 3
 
12.0%
. 3
 
12.0%
: 3
 
12.0%
/ 1
 
4.0%
& 1
 
4.0%
? 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
I 3
33.3%
U 2
22.2%
X 2
22.2%
H 1
 
11.1%
M 1
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 21
95.5%
– 1
 
4.5%
Space Separator
ValueCountFrequency (%)
383
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1908
79.2%
Common 492
 
20.4%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 52
 
2.7%
이 51
 
2.7%
스 47
 
2.5%
리 45
 
2.4%
아 36
 
1.9%
마 26
 
1.4%
다 23
 
1.2%
프 23
 
1.2%
트 22
 
1.2%
사 22
 
1.2%
Other values (456) 1561
81.8%
Common
ValueCountFrequency (%)
383
77.8%
- 21
 
4.3%
0 21
 
4.3%
, 13
 
2.6%
1 10
 
2.0%
2 8
 
1.6%
3 4
 
0.8%
4 4
 
0.8%
` 4
 
0.8%
! 3
 
0.6%
Other values (12) 21
 
4.3%
Latin
ValueCountFrequency (%)
I 3
33.3%
U 2
22.2%
X 2
22.2%
H 1
 
11.1%
M 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1908
79.2%
ASCII 500
 
20.8%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
383
76.6%
- 21
 
4.2%
0 21
 
4.2%
, 13
 
2.6%
1 10
 
2.0%
2 8
 
1.6%
3 4
 
0.8%
4 4
 
0.8%
` 4
 
0.8%
! 3
 
0.6%
Other values (16) 29
 
5.8%
Hangul
ValueCountFrequency (%)
의 52
 
2.7%
이 51
 
2.7%
스 47
 
2.5%
리 45
 
2.4%
아 36
 
1.9%
마 26
 
1.4%
다 23
 
1.2%
프 23
 
1.2%
트 22
 
1.2%
사 22
 
1.2%
Other values (456) 1561
81.8%
Punctuation
ValueCountFrequency (%)
– 1
100.0%

작품명영문
Text

Distinct345
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:17.335140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length36
Mean length14.439353
Min length1

Characters and Unicode

Total characters5357
Distinct characters79
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique321 ?
Unique (%)86.5%

Sample

1st rowThe Road Called Life - Animation of Korean Literature Part 1
2nd rowThe Boy and the World
3rd rowWorms
4th rowCheatin`
5th rowThe Satellite Girl and Milk Cow
ValueCountFrequency (%)
the 70
 
7.3%
24
 
2.5%
of 22
 
2.3%
and 15
 
1.6%
a 11
 
1.1%
to 11
 
1.1%
in 10
 
1.0%
my 9
 
0.9%
home 7
 
0.7%
little 7
 
0.7%
Other values (636) 779
80.7%
2023-12-11T14:03:18.281271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
11.4%
e 492
 
9.2%
a 340
 
6.3%
o 334
 
6.2%
i 304
 
5.7%
n 284
 
5.3%
r 247
 
4.6%
t 243
 
4.5%
s 192
 
3.6%
l 183
 
3.4%
Other values (69) 2126
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3647
68.1%
Uppercase Letter 944
 
17.6%
Space Separator 612
 
11.4%
Decimal Number 48
 
0.9%
Other Punctuation 39
 
0.7%
Dash Punctuation 36
 
0.7%
Modifier Symbol 19
 
0.4%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 492
13.5%
a 340
 
9.3%
o 334
 
9.2%
i 304
 
8.3%
n 284
 
7.8%
r 247
 
6.8%
t 243
 
6.7%
s 192
 
5.3%
l 183
 
5.0%
h 150
 
4.1%
Other values (19) 878
24.1%
Uppercase Letter
ValueCountFrequency (%)
T 107
 
11.3%
S 76
 
8.1%
A 72
 
7.6%
M 71
 
7.5%
B 59
 
6.2%
C 57
 
6.0%
P 51
 
5.4%
R 45
 
4.8%
L 42
 
4.4%
H 41
 
4.3%
Other values (17) 323
34.2%
Other Punctuation
ValueCountFrequency (%)
, 12
30.8%
. 11
28.2%
& 5
12.8%
" 4
 
10.3%
? 2
 
5.1%
! 2
 
5.1%
: 2
 
5.1%
/ 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
0 15
31.2%
1 11
22.9%
2 9
18.8%
3 5
 
10.4%
4 4
 
8.3%
7 3
 
6.2%
5 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 34
94.4%
– 2
 
5.6%
Space Separator
ValueCountFrequency (%)
612
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4591
85.7%
Common 766
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 492
 
10.7%
a 340
 
7.4%
o 334
 
7.3%
i 304
 
6.6%
n 284
 
6.2%
r 247
 
5.4%
t 243
 
5.3%
s 192
 
4.2%
l 183
 
4.0%
h 150
 
3.3%
Other values (46) 1822
39.7%
Common
ValueCountFrequency (%)
612
79.9%
- 34
 
4.4%
` 19
 
2.5%
0 15
 
2.0%
, 12
 
1.6%
1 11
 
1.4%
. 11
 
1.4%
2 9
 
1.2%
) 5
 
0.7%
( 5
 
0.7%
Other values (13) 33
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5348
99.8%
None 6
 
0.1%
Punctuation 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
 
11.4%
e 492
 
9.2%
a 340
 
6.4%
o 334
 
6.2%
i 304
 
5.7%
n 284
 
5.3%
r 247
 
4.6%
t 243
 
4.5%
s 192
 
3.6%
l 183
 
3.4%
Other values (63) 2117
39.6%
None
ValueCountFrequency (%)
ł 2
33.3%
é 2
33.3%
À 1
16.7%
ç 1
16.7%
Punctuation
ValueCountFrequency (%)
– 2
66.7%
’ 1
33.3%

제작국가
Text

Distinct60
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:18.647879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length6.2614555
Min length2

Characters and Unicode

Total characters2323
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)7.5%

Sample

1st rowKorea
2nd rowBrazil
3rd rowBrazil
4th rowUSA
5th rowKorea
ValueCountFrequency (%)
poland 48
12.0%
korea 46
 
11.5%
france 41
 
10.3%
japan 36
 
9.0%
usa 29
 
7.3%
russia 24
 
6.0%
brazil 18
 
4.5%
germany 17
 
4.3%
uk 15
 
3.8%
china 10
 
2.5%
Other values (39) 115
28.8%
2023-12-11T14:03:19.244476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 400
17.2%
n 215
 
9.3%
e 174
 
7.5%
r 168
 
7.2%
l 123
 
5.3%
i 113
 
4.9%
o 112
 
4.8%
d 80
 
3.4%
s 72
 
3.1%
K 62
 
2.7%
Other values (36) 804
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1796
77.3%
Uppercase Letter 471
 
20.3%
Space Separator 39
 
1.7%
Other Punctuation 17
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 400
22.3%
n 215
12.0%
e 174
9.7%
r 168
9.4%
l 123
 
6.8%
i 113
 
6.3%
o 112
 
6.2%
d 80
 
4.5%
s 72
 
4.0%
c 48
 
2.7%
Other values (14) 291
16.2%
Uppercase Letter
ValueCountFrequency (%)
K 62
13.2%
P 48
10.2%
U 47
10.0%
F 43
9.1%
S 43
9.1%
A 39
8.3%
J 36
7.6%
C 28
 
5.9%
B 25
 
5.3%
R 25
 
5.3%
Other values (10) 75
15.9%
Space Separator
ValueCountFrequency (%)
39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2267
97.6%
Common 56
 
2.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 400
17.6%
n 215
 
9.5%
e 174
 
7.7%
r 168
 
7.4%
l 123
 
5.4%
i 113
 
5.0%
o 112
 
4.9%
d 80
 
3.5%
s 72
 
3.2%
K 62
 
2.7%
Other values (34) 748
33.0%
Common
ValueCountFrequency (%)
39
69.6%
, 17
30.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2323
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 400
17.2%
n 215
 
9.3%
e 174
 
7.5%
r 168
 
7.2%
l 123
 
5.3%
i 113
 
4.9%
o 112
 
4.8%
d 80
 
3.4%
s 72
 
3.1%
K 62
 
2.7%
Other values (36) 804
34.6%

러닝타임
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.0 KiB

제작년도
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)9.5%
Missing23
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean2010.0862
Minimum1958
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T14:03:19.486438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1958
5-th percentile1993.7
Q12012
median2013
Q32013
95-th percentile2014
Maximum2014
Range56
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.4977389
Coefficient of variation (CV)0.0042275495
Kurtosis16.618988
Mean2010.0862
Median Absolute Deviation (MAD)0
Skewness-3.918114
Sum699510
Variance72.211567
MonotonicityNot monotonic
2023-12-11T14:03:19.713207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2013 175
47.2%
2014 60
 
16.2%
2012 35
 
9.4%
2011 11
 
3.0%
2004 10
 
2.7%
2007 8
 
2.2%
2006 6
 
1.6%
2008 5
 
1.3%
2005 4
 
1.1%
2009 3
 
0.8%
Other values (23) 31
 
8.4%
(Missing) 23
 
6.2%
ValueCountFrequency (%)
1958 1
0.3%
1961 1
0.3%
1963 1
0.3%
1966 1
0.3%
1968 1
0.3%
1970 1
0.3%
1971 1
0.3%
1976 1
0.3%
1979 1
0.3%
1980 1
0.3%
ValueCountFrequency (%)
2014 60
 
16.2%
2013 175
47.2%
2012 35
 
9.4%
2011 11
 
3.0%
2010 3
 
0.8%
2009 3
 
0.8%
2008 5
 
1.3%
2007 8
 
2.2%
2006 6
 
1.6%
2005 4
 
1.1%

자막정보
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
354 
 
17

Length

Max length4
Median length4
Mean length3.8625337
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 354
95.4%
17
 
4.6%

Length

2023-12-11T14:03:19.940484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:20.112064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 354
100.0%

등급
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.3%
Memory size3.0 KiB

프로듀서
Text

MISSING 

Distinct159
Distinct (%)88.8%
Missing192
Missing (%)51.8%
Memory size3.0 KiB
2023-12-11T14:03:20.541030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length59
Mean length20.100559
Min length1

Characters and Unicode

Total characters3598
Distinct characters136
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

Unique147 ?
Unique (%)82.1%

Sample

1st row이상욱 LEE Sang-Wook
2nd rowTita TESSLER, Fernanda CARVALHO
3rd rowPaolo CONTI, Paulo BOCCATO
4th rowBill PLYMPTON, Desiree STAVRACOS, James HANCOCK
5th row조영각 CHO Young-Gak
ValueCountFrequency (%)
kim 8
 
1.5%
6
 
1.1%
lee 6
 
1.1%
thomas 4
 
0.7%
hermann 4
 
0.7%
meyer 4
 
0.7%
gaidukova 3
 
0.6%
anna 3
 
0.6%
cho 3
 
0.6%
lyubov 3
 
0.6%
Other values (450) 499
91.9%
2023-12-11T14:03:21.323554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
379
 
10.5%
A 185
 
5.1%
a 163
 
4.5%
i 154
 
4.3%
n 146
 
4.1%
o 125
 
3.5%
E 121
 
3.4%
e 117
 
3.3%
O 111
 
3.1%
N 107
 
3.0%
Other values (126) 1990
55.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1700
47.2%
Lowercase Letter 1275
35.4%
Space Separator 379
 
10.5%
Other Letter 109
 
3.0%
Other Punctuation 67
 
1.9%
Dash Punctuation 53
 
1.5%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Modifier Symbol 4
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
6.4%
영 6
 
5.5%
이 5
 
4.6%
정 5
 
4.6%
준 5
 
4.6%
홍 3
 
2.8%
재 3
 
2.8%
조 3
 
2.8%
리 2
 
1.8%
원 2
 
1.8%
Other values (55) 68
62.4%
Uppercase Letter
ValueCountFrequency (%)
A 185
 
10.9%
E 121
 
7.1%
O 111
 
6.5%
N 107
 
6.3%
S 106
 
6.2%
I 101
 
5.9%
M 101
 
5.9%
R 97
 
5.7%
L 84
 
4.9%
H 82
 
4.8%
Other values (24) 605
35.6%
Lowercase Letter
ValueCountFrequency (%)
a 163
12.8%
i 154
12.1%
n 146
11.5%
o 125
9.8%
e 117
9.2%
r 69
 
5.4%
u 68
 
5.3%
l 65
 
5.1%
s 51
 
4.0%
t 50
 
3.9%
Other values (18) 267
20.9%
Other Punctuation
ValueCountFrequency (%)
, 65
97.0%
. 1
 
1.5%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2975
82.7%
Common 514
 
14.3%
Hangul 109
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
6.4%
영 6
 
5.5%
이 5
 
4.6%
정 5
 
4.6%
준 5
 
4.6%
홍 3
 
2.8%
재 3
 
2.8%
조 3
 
2.8%
리 2
 
1.8%
원 2
 
1.8%
Other values (55) 68
62.4%
Latin
ValueCountFrequency (%)
A 185
 
6.2%
a 163
 
5.5%
i 154
 
5.2%
n 146
 
4.9%
o 125
 
4.2%
E 121
 
4.1%
e 117
 
3.9%
O 111
 
3.7%
N 107
 
3.6%
S 106
 
3.6%
Other values (52) 1640
55.1%
Common
ValueCountFrequency (%)
379
73.7%
, 65
 
12.6%
- 53
 
10.3%
( 5
 
1.0%
) 5
 
1.0%
` 4
 
0.8%
. 1
 
0.2%
& 1
 
0.2%
_ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3471
96.5%
Hangul 109
 
3.0%
None 18
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
379
 
10.9%
A 185
 
5.3%
a 163
 
4.7%
i 154
 
4.4%
n 146
 
4.2%
o 125
 
3.6%
E 121
 
3.5%
e 117
 
3.4%
O 111
 
3.2%
N 107
 
3.1%
Other values (49) 1863
53.7%
Hangul
ValueCountFrequency (%)
김 7
 
6.4%
영 6
 
5.5%
이 5
 
4.6%
정 5
 
4.6%
준 5
 
4.6%
홍 3
 
2.8%
재 3
 
2.8%
조 3
 
2.8%
리 2
 
1.8%
원 2
 
1.8%
Other values (55) 68
62.4%
None
ValueCountFrequency (%)
é 6
33.3%
Ü 2
 
11.1%
Ć 1
 
5.6%
Ö 1
 
5.6%
Ń 1
 
5.6%
Á 1
 
5.6%
Ç 1
 
5.6%
ó 1
 
5.6%
ï 1
 
5.6%
Õ 1
 
5.6%
Other values (2) 2
 
11.1%

촬영
Text

MISSING 

Distinct109
Distinct (%)95.6%
Missing257
Missing (%)69.3%
Memory size3.0 KiB
2023-12-11T14:03:21.761210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length39
Mean length18.885965
Min length1

Characters and Unicode

Total characters2153
Distinct characters123
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

Unique105 ?
Unique (%)92.1%

Sample

1st row김수정 KIM Su-Jung
2nd rowMarcus VINÍCIUS, Débora FERNANDES, Luíz Henrique RODRIGUEZ
3rd rowPhilippe ARRUDA, Klaus SCHILIKMANN
4th row최동혁 CHOI Dong-Hyuk
5th rowAlessandro RAK
ValueCountFrequency (%)
kim 7
 
2.1%
choi 4
 
1.2%
lee 3
 
0.9%
claudia 2
 
0.6%
anna 2
 
0.6%
the 2
 
0.6%
martin 2
 
0.6%
jang 2
 
0.6%
gutjahr 2
 
0.6%
yves 2
 
0.6%
Other values (287) 300
91.5%
2023-12-11T14:03:22.423484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
223
 
10.4%
A 98
 
4.6%
a 94
 
4.4%
n 85
 
3.9%
o 81
 
3.8%
i 81
 
3.8%
E 81
 
3.8%
O 69
 
3.2%
e 68
 
3.2%
I 68
 
3.2%
Other values (113) 1205
56.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1036
48.1%
Lowercase Letter 738
34.3%
Space Separator 223
 
10.4%
Other Letter 84
 
3.9%
Other Punctuation 37
 
1.7%
Dash Punctuation 31
 
1.4%
Modifier Symbol 2
 
0.1%
Math Symbol 1
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
8.3%
최 4
 
4.8%
용 4
 
4.8%
정 4
 
4.8%
진 4
 
4.8%
혁 3
 
3.6%
현 3
 
3.6%
이 3
 
3.6%
장 2
 
2.4%
리 2
 
2.4%
Other values (42) 48
57.1%
Uppercase Letter
ValueCountFrequency (%)
A 98
 
9.5%
E 81
 
7.8%
O 69
 
6.7%
I 68
 
6.6%
S 67
 
6.5%
R 64
 
6.2%
M 62
 
6.0%
N 59
 
5.7%
H 56
 
5.4%
K 51
 
4.9%
Other values (23) 361
34.8%
Lowercase Letter
ValueCountFrequency (%)
a 94
12.7%
n 85
11.5%
o 81
11.0%
i 81
11.0%
e 68
9.2%
r 39
 
5.3%
u 34
 
4.6%
t 32
 
4.3%
l 32
 
4.3%
s 24
 
3.3%
Other values (21) 168
22.8%
Other Punctuation
ValueCountFrequency (%)
, 36
97.3%
. 1
 
2.7%
Space Separator
ValueCountFrequency (%)
223
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%
Currency Symbol
ValueCountFrequency (%)
£ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1774
82.4%
Common 295
 
13.7%
Hangul 84
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 98
 
5.5%
a 94
 
5.3%
n 85
 
4.8%
o 81
 
4.6%
i 81
 
4.6%
E 81
 
4.6%
O 69
 
3.9%
e 68
 
3.8%
I 68
 
3.8%
S 67
 
3.8%
Other values (54) 982
55.4%
Hangul
ValueCountFrequency (%)
김 7
 
8.3%
최 4
 
4.8%
용 4
 
4.8%
정 4
 
4.8%
진 4
 
4.8%
혁 3
 
3.6%
현 3
 
3.6%
이 3
 
3.6%
장 2
 
2.4%
리 2
 
2.4%
Other values (42) 48
57.1%
Common
ValueCountFrequency (%)
223
75.6%
, 36
 
12.2%
- 31
 
10.5%
` 2
 
0.7%
| 1
 
0.3%
. 1
 
0.3%
£ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2049
95.2%
Hangul 84
 
3.9%
None 20
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
223
 
10.9%
A 98
 
4.8%
a 94
 
4.6%
n 85
 
4.1%
o 81
 
4.0%
i 81
 
4.0%
E 81
 
4.0%
O 69
 
3.4%
e 68
 
3.3%
I 68
 
3.3%
Other values (48) 1101
53.7%
Hangul
ValueCountFrequency (%)
김 7
 
8.3%
최 4
 
4.8%
용 4
 
4.8%
정 4
 
4.8%
진 4
 
4.8%
혁 3
 
3.6%
현 3
 
3.6%
이 3
 
3.6%
장 2
 
2.4%
리 2
 
2.4%
Other values (42) 48
57.1%
None
ValueCountFrequency (%)
é 4
20.0%
Í 2
10.0%
Ñ 2
10.0%
í 2
10.0%
Ó 2
10.0%
Ć 1
 
5.0%
Ì 1
 
5.0%
ó 1
 
5.0%
Á 1
 
5.0%
ï 1
 
5.0%
Other values (3) 3
15.0%

시나리오
Text

MISSING 

Distinct170
Distinct (%)95.5%
Missing193
Missing (%)52.0%
Memory size3.0 KiB
2023-12-11T14:03:23.345990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length46
Mean length19.786517
Min length4

Characters and Unicode

Total characters3522
Distinct characters145
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

Unique164 ?
Unique (%)92.1%

Sample

1st row안재훈 AHN Jae-Hun
2nd rowAlê ABREU
3rd rowRomeo Di SESSA, Thomas LAPIERRE, Marcos BERNSTEIN, Melanie DIMANTAS, Joana BOCCHINI
4th rowNew York
5th row장형윤 CHANG Hyung-Yoon, 박지연 PARK Ji-Yeon, 정은경 JUNG Eun-Kyung, 강상균 KANG Sang-Gyun.
ValueCountFrequency (%)
kim 8
 
1.5%
yuichi 4
 
0.7%
ito 4
 
0.7%
ahn 4
 
0.7%
anna 3
 
0.6%
lee 3
 
0.6%
park 3
 
0.6%
geller 3
 
0.6%
daniela 3
 
0.6%
carl 2
 
0.4%
Other values (470) 498
93.1%
2023-12-11T14:03:24.123558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
 
10.4%
A 190
 
5.4%
a 170
 
4.8%
n 154
 
4.4%
E 142
 
4.0%
e 133
 
3.8%
i 128
 
3.6%
o 125
 
3.5%
R 102
 
2.9%
I 99
 
2.8%
Other values (135) 1914
54.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1677
47.6%
Lowercase Letter 1238
35.2%
Space Separator 365
 
10.4%
Other Letter 118
 
3.4%
Other Punctuation 66
 
1.9%
Dash Punctuation 53
 
1.5%
Modifier Symbol 4
 
0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
5.9%
정 6
 
5.1%
영 5
 
4.2%
안 4
 
3.4%
나 3
 
2.5%
동 3
 
2.5%
이 3
 
2.5%
진 3
 
2.5%
재 3
 
2.5%
박 3
 
2.5%
Other values (61) 78
66.1%
Uppercase Letter
ValueCountFrequency (%)
A 190
 
11.3%
E 142
 
8.5%
R 102
 
6.1%
I 99
 
5.9%
N 97
 
5.8%
S 95
 
5.7%
L 90
 
5.4%
O 90
 
5.4%
H 83
 
4.9%
M 78
 
4.7%
Other values (24) 611
36.4%
Lowercase Letter
ValueCountFrequency (%)
a 170
13.7%
n 154
12.4%
e 133
10.7%
i 128
10.3%
o 125
10.1%
r 65
 
5.3%
l 61
 
4.9%
u 51
 
4.1%
h 45
 
3.6%
s 44
 
3.6%
Other values (22) 262
21.2%
Other Punctuation
ValueCountFrequency (%)
, 62
93.9%
. 2
 
3.0%
/ 1
 
1.5%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Currency Symbol
ValueCountFrequency (%)
£ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2915
82.8%
Common 489
 
13.9%
Hangul 118
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
5.9%
정 6
 
5.1%
영 5
 
4.2%
안 4
 
3.4%
나 3
 
2.5%
동 3
 
2.5%
이 3
 
2.5%
진 3
 
2.5%
재 3
 
2.5%
박 3
 
2.5%
Other values (61) 78
66.1%
Latin
ValueCountFrequency (%)
A 190
 
6.5%
a 170
 
5.8%
n 154
 
5.3%
E 142
 
4.9%
e 133
 
4.6%
i 128
 
4.4%
o 125
 
4.3%
R 102
 
3.5%
I 99
 
3.4%
N 97
 
3.3%
Other values (56) 1575
54.0%
Common
ValueCountFrequency (%)
365
74.6%
, 62
 
12.7%
- 53
 
10.8%
` 4
 
0.8%
. 2
 
0.4%
/ 1
 
0.2%
& 1
 
0.2%
£ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3382
96.0%
Hangul 118
 
3.4%
None 22
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
 
10.8%
A 190
 
5.6%
a 170
 
5.0%
n 154
 
4.6%
E 142
 
4.2%
e 133
 
3.9%
i 128
 
3.8%
o 125
 
3.7%
R 102
 
3.0%
I 99
 
2.9%
Other values (48) 1774
52.5%
Hangul
ValueCountFrequency (%)
김 7
 
5.9%
정 6
 
5.1%
영 5
 
4.2%
안 4
 
3.4%
나 3
 
2.5%
동 3
 
2.5%
이 3
 
2.5%
진 3
 
2.5%
재 3
 
2.5%
박 3
 
2.5%
Other values (61) 78
66.1%
None
ValueCountFrequency (%)
é 5
22.7%
Á 2
 
9.1%
Ó 2
 
9.1%
ê 1
 
4.5%
Ò 1
 
4.5%
Í 1
 
4.5%
è 1
 
4.5%
Ć 1
 
4.5%
í 1
 
4.5%
Ü 1
 
4.5%
Other values (6) 6
27.3%

편집
Text

MISSING 

Distinct148
Distinct (%)94.9%
Missing215
Missing (%)58.0%
Memory size3.0 KiB
2023-12-11T14:03:24.609731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length38
Mean length17.839744
Min length1

Characters and Unicode

Total characters2783
Distinct characters132
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

Unique140 ?
Unique (%)89.7%

Sample

1st row함종민 HAM Jong-Min
2nd rowAlê ABREU
3rd rowJose Guilherme DELGADO
4th rowKevin PALMER
5th row이연정 LEE Yeon-Jung
ValueCountFrequency (%)
kim 7
 
1.7%
matsumura 3
 
0.7%
lee 3
 
0.7%
hong 2
 
0.5%
anna 2
 
0.5%
schmid 2
 
0.5%
gutjahr 2
 
0.5%
alberto 2
 
0.5%
claudia 2
 
0.5%
jong-min 2
 
0.5%
Other values (370) 393
93.6%
2023-12-11T14:03:25.373666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
9.8%
A 151
 
5.4%
a 136
 
4.9%
n 115
 
4.1%
E 108
 
3.9%
i 103
 
3.7%
e 101
 
3.6%
R 95
 
3.4%
I 92
 
3.3%
o 89
 
3.2%
Other values (122) 1520
54.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1373
49.3%
Lowercase Letter 957
34.4%
Space Separator 273
 
9.8%
Other Letter 100
 
3.6%
Dash Punctuation 40
 
1.4%
Other Punctuation 37
 
1.3%
Modifier Symbol 2
 
0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
7.0%
이 4
 
4.0%
철 4
 
4.0%
현 4
 
4.0%
동 3
 
3.0%
대 3
 
3.0%
정 3
 
3.0%
영 3
 
3.0%
종 3
 
3.0%
민 3
 
3.0%
Other values (51) 63
63.0%
Uppercase Letter
ValueCountFrequency (%)
A 151
 
11.0%
E 108
 
7.9%
R 95
 
6.9%
I 92
 
6.7%
M 83
 
6.0%
N 75
 
5.5%
O 75
 
5.5%
S 72
 
5.2%
H 70
 
5.1%
L 62
 
4.5%
Other values (23) 490
35.7%
Lowercase Letter
ValueCountFrequency (%)
a 136
14.2%
n 115
12.0%
i 103
10.8%
e 101
10.6%
o 89
9.3%
l 46
 
4.8%
u 45
 
4.7%
r 45
 
4.7%
t 41
 
4.3%
s 33
 
3.4%
Other values (21) 203
21.2%
Other Punctuation
ValueCountFrequency (%)
, 33
89.2%
. 3
 
8.1%
/ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Currency Symbol
ValueCountFrequency (%)
£ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2330
83.7%
Common 353
 
12.7%
Hangul 100
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 151
 
6.5%
a 136
 
5.8%
n 115
 
4.9%
E 108
 
4.6%
i 103
 
4.4%
e 101
 
4.3%
R 95
 
4.1%
I 92
 
3.9%
o 89
 
3.8%
M 83
 
3.6%
Other values (54) 1257
53.9%
Hangul
ValueCountFrequency (%)
김 7
 
7.0%
이 4
 
4.0%
철 4
 
4.0%
현 4
 
4.0%
동 3
 
3.0%
대 3
 
3.0%
정 3
 
3.0%
영 3
 
3.0%
종 3
 
3.0%
민 3
 
3.0%
Other values (51) 63
63.0%
Common
ValueCountFrequency (%)
273
77.3%
- 40
 
11.3%
, 33
 
9.3%
. 3
 
0.8%
` 2
 
0.6%
/ 1
 
0.3%
£ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2662
95.7%
Hangul 100
 
3.6%
None 21
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
 
10.3%
A 151
 
5.7%
a 136
 
5.1%
n 115
 
4.3%
E 108
 
4.1%
i 103
 
3.9%
e 101
 
3.8%
R 95
 
3.6%
I 92
 
3.5%
o 89
 
3.3%
Other values (46) 1399
52.6%
Hangul
ValueCountFrequency (%)
김 7
 
7.0%
이 4
 
4.0%
철 4
 
4.0%
현 4
 
4.0%
동 3
 
3.0%
대 3
 
3.0%
정 3
 
3.0%
영 3
 
3.0%
종 3
 
3.0%
민 3
 
3.0%
Other values (51) 63
63.0%
None
ValueCountFrequency (%)
Ó 3
14.3%
ï 2
 
9.5%
Ç 2
 
9.5%
é 2
 
9.5%
Á 2
 
9.5%
ê 1
 
4.8%
Ć 1
 
4.8%
ç 1
 
4.8%
Ü 1
 
4.8%
Č 1
 
4.8%
Other values (5) 5
23.8%

애니메이션
Text

MISSING 

Distinct170
Distinct (%)97.1%
Missing196
Missing (%)52.8%
Memory size3.0 KiB
2023-12-11T14:03:25.706275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length286
Median length79
Mean length31.074286
Min length4

Characters and Unicode

Total characters5438
Distinct characters182
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

Unique165 ?
Unique (%)94.3%

Sample

1st row진형민 JIN Hyung-Min, 곽진아 GWAK Jin-Ah, 임은재 LIM Eun-Jae, 김슬기 KIM Seul-Ki
2nd rowAlê ABREU
3rd rowPaolo CONTI, Luciano do AMARAL, Thiago CALÇADO, Gabriel COSTA, Policarpo GRACIANO, Camila RUMPF, Alv
4th rowBill PLYMPTON
5th row박지연 PARK Ji-Yeon, 김창수 KIM Chang-Su
ValueCountFrequency (%)
kim 16
 
2.0%
lee 11
 
1.3%
park 7
 
0.9%
anna 4
 
0.5%
choi 4
 
0.5%
nicolas 3
 
0.4%
ahn 3
 
0.4%
jang 3
 
0.4%
claudia 3
 
0.4%
o 3
 
0.4%
Other values (697) 760
93.0%
2023-12-11T14:03:26.363794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
651
 
12.0%
A 249
 
4.6%
a 238
 
4.4%
E 227
 
4.2%
n 224
 
4.1%
i 205
 
3.8%
, 185
 
3.4%
o 178
 
3.3%
e 167
 
3.1%
O 165
 
3.0%
Other values (172) 2949
54.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2493
45.8%
Lowercase Letter 1742
32.0%
Space Separator 651
 
12.0%
Other Letter 246
 
4.5%
Other Punctuation 198
 
3.6%
Dash Punctuation 97
 
1.8%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Modifier Symbol 2
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
5.7%
이 12
 
4.9%
정 11
 
4.5%
영 8
 
3.3%
진 7
 
2.8%
박 7
 
2.8%
현 7
 
2.8%
미 6
 
2.4%
윤 5
 
2.0%
유 5
 
2.0%
Other values (93) 164
66.7%
Uppercase Letter
ValueCountFrequency (%)
A 249
 
10.0%
E 227
 
9.1%
O 165
 
6.6%
I 160
 
6.4%
N 151
 
6.1%
R 142
 
5.7%
S 139
 
5.6%
L 131
 
5.3%
M 124
 
5.0%
H 122
 
4.9%
Other values (26) 883
35.4%
Lowercase Letter
ValueCountFrequency (%)
a 238
13.7%
n 224
12.9%
i 205
11.8%
o 178
10.2%
e 167
9.6%
u 98
 
5.6%
r 96
 
5.5%
l 95
 
5.5%
t 68
 
3.9%
g 58
 
3.3%
Other values (23) 315
18.1%
Other Punctuation
ValueCountFrequency (%)
, 185
93.4%
. 11
 
5.6%
& 1
 
0.5%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
651
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Currency Symbol
ValueCountFrequency (%)
£ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4235
77.9%
Common 957
 
17.6%
Hangul 246
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
5.7%
이 12
 
4.9%
정 11
 
4.5%
영 8
 
3.3%
진 7
 
2.8%
박 7
 
2.8%
현 7
 
2.8%
미 6
 
2.4%
윤 5
 
2.0%
유 5
 
2.0%
Other values (93) 164
66.7%
Latin
ValueCountFrequency (%)
A 249
 
5.9%
a 238
 
5.6%
E 227
 
5.4%
n 224
 
5.3%
i 205
 
4.8%
o 178
 
4.2%
e 167
 
3.9%
O 165
 
3.9%
I 160
 
3.8%
N 151
 
3.6%
Other values (59) 2271
53.6%
Common
ValueCountFrequency (%)
651
68.0%
, 185
 
19.3%
- 97
 
10.1%
. 11
 
1.1%
( 4
 
0.4%
) 4
 
0.4%
` 2
 
0.2%
& 1
 
0.1%
/ 1
 
0.1%
£ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5157
94.8%
Hangul 246
 
4.5%
None 35
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
651
 
12.6%
A 249
 
4.8%
a 238
 
4.6%
E 227
 
4.4%
n 224
 
4.3%
i 205
 
4.0%
, 185
 
3.6%
o 178
 
3.5%
e 167
 
3.2%
O 165
 
3.2%
Other values (50) 2668
51.7%
Hangul
ValueCountFrequency (%)
김 14
 
5.7%
이 12
 
4.9%
정 11
 
4.5%
영 8
 
3.3%
진 7
 
2.8%
박 7
 
2.8%
현 7
 
2.8%
미 6
 
2.4%
윤 5
 
2.0%
유 5
 
2.0%
Other values (93) 164
66.7%
None
ValueCountFrequency (%)
é 7
20.0%
Ó 4
11.4%
Á 4
11.4%
à 3
 
8.6%
Ç 2
 
5.7%
ó 2
 
5.7%
á 1
 
2.9%
Ć 1
 
2.9%
è 1
 
2.9%
Ä 1
 
2.9%
Other values (9) 9
25.7%

음악
Text

MISSING 

Distinct169
Distinct (%)96.0%
Missing195
Missing (%)52.6%
Memory size3.0 KiB
2023-12-11T14:03:26.849118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length95
Median length51
Mean length19.051136
Min length1

Characters and Unicode

Total characters3353
Distinct characters141
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

Unique162 ?
Unique (%)92.0%

Sample

1st row강상구 KANG Sang-Gu
2nd rowRuben FEFFER, Gustavo KURLAT
3rd rowHerique TANJI
4th rowNicole RENAUD
5th row고경천 KO Kyung-Chun
ValueCountFrequency (%)
kim 12
 
2.4%
7
 
1.4%
lee 6
 
1.2%
김동욱 4
 
0.8%
music 3
 
0.6%
shin 3
 
0.6%
park 3
 
0.6%
by 3
 
0.6%
dong-uk 2
 
0.4%
gustavo 2
 
0.4%
Other values (435) 463
91.1%
2023-12-11T14:03:27.604019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
 
10.2%
a 154
 
4.6%
A 153
 
4.6%
n 144
 
4.3%
e 144
 
4.3%
E 132
 
3.9%
i 126
 
3.8%
o 124
 
3.7%
R 102
 
3.0%
I 99
 
3.0%
Other values (131) 1834
54.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1490
44.4%
Lowercase Letter 1300
38.8%
Space Separator 341
 
10.2%
Other Letter 119
 
3.5%
Other Punctuation 48
 
1.4%
Dash Punctuation 45
 
1.3%
Initial Punctuation 2
 
0.1%
Final Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 12
 
10.1%
이 6
 
5.0%
성 5
 
4.2%
동 5
 
4.2%
준 4
 
3.4%
욱 4
 
3.4%
현 4
 
3.4%
신 3
 
2.5%
택 3
 
2.5%
박 3
 
2.5%
Other values (55) 70
58.8%
Uppercase Letter
ValueCountFrequency (%)
A 153
 
10.3%
E 132
 
8.9%
R 102
 
6.8%
I 99
 
6.6%
S 98
 
6.6%
N 98
 
6.6%
O 74
 
5.0%
M 71
 
4.8%
K 70
 
4.7%
L 70
 
4.7%
Other values (23) 523
35.1%
Lowercase Letter
ValueCountFrequency (%)
a 154
11.8%
n 144
11.1%
e 144
11.1%
i 126
9.7%
o 124
9.5%
r 91
 
7.0%
u 68
 
5.2%
l 51
 
3.9%
g 48
 
3.7%
t 48
 
3.7%
Other values (21) 302
23.2%
Other Punctuation
ValueCountFrequency (%)
, 41
85.4%
& 4
 
8.3%
" 2
 
4.2%
/ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2790
83.2%
Common 444
 
13.2%
Hangul 119
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 12
 
10.1%
이 6
 
5.0%
성 5
 
4.2%
동 5
 
4.2%
준 4
 
3.4%
욱 4
 
3.4%
현 4
 
3.4%
신 3
 
2.5%
택 3
 
2.5%
박 3
 
2.5%
Other values (55) 70
58.8%
Latin
ValueCountFrequency (%)
a 154
 
5.5%
A 153
 
5.5%
n 144
 
5.2%
e 144
 
5.2%
E 132
 
4.7%
i 126
 
4.5%
o 124
 
4.4%
R 102
 
3.7%
I 99
 
3.5%
S 98
 
3.5%
Other values (54) 1514
54.3%
Common
ValueCountFrequency (%)
341
76.8%
- 45
 
10.1%
, 41
 
9.2%
& 4
 
0.9%
" 2
 
0.5%
“ 2
 
0.5%
” 2
 
0.5%
( 2
 
0.5%
) 2
 
0.5%
| 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3214
95.9%
Hangul 119
 
3.5%
None 16
 
0.5%
Punctuation 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
 
10.6%
a 154
 
4.8%
A 153
 
4.8%
n 144
 
4.5%
e 144
 
4.5%
E 132
 
4.1%
i 126
 
3.9%
o 124
 
3.9%
R 102
 
3.2%
I 99
 
3.1%
Other values (51) 1695
52.7%
Hangul
ValueCountFrequency (%)
김 12
 
10.1%
이 6
 
5.0%
성 5
 
4.2%
동 5
 
4.2%
준 4
 
3.4%
욱 4
 
3.4%
현 4
 
3.4%
신 3
 
2.5%
택 3
 
2.5%
박 3
 
2.5%
Other values (55) 70
58.8%
None
ValueCountFrequency (%)
Ä 2
12.5%
é 2
12.5%
Á 2
12.5%
î 1
 
6.2%
Ć 1
 
6.2%
Č 1
 
6.2%
ł 1
 
6.2%
Ž 1
 
6.2%
ř 1
 
6.2%
À 1
 
6.2%
Other values (3) 3
18.8%
Punctuation
ValueCountFrequency (%)
“ 2
50.0%
” 2
50.0%

캐릭터
Text

MISSING 

Distinct127
Distinct (%)95.5%
Missing238
Missing (%)64.2%
Memory size3.0 KiB
2023-12-11T14:03:28.166710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length38
Mean length18.977444
Min length1

Characters and Unicode

Total characters2524
Distinct characters137
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)92.5%

Sample

1st row진형민 JIN Hyung-Min, 곽진아 GWAK Jin-Ah
2nd rowAlê ABREU
3rd rowSandro CEUSO, Demian RIOS
4th rowBill PLYMPTON
5th row박지연 PARK Ji-Yeon, 김창수 KIM Chang-Su
ValueCountFrequency (%)
kim 9
 
2.2%
yuichi 4
 
1.0%
ito 4
 
1.0%
jang 3
 
0.7%
lee 3
 
0.7%
jin 3
 
0.7%
daniela 3
 
0.7%
noémie 2
 
0.5%
masanobu 2
 
0.5%
oh 2
 
0.5%
Other values (353) 367
91.3%
2023-12-11T14:03:29.019297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
10.9%
n 122
 
4.8%
A 118
 
4.7%
a 115
 
4.6%
E 97
 
3.8%
i 96
 
3.8%
e 91
 
3.6%
o 85
 
3.4%
O 74
 
2.9%
S 73
 
2.9%
Other values (127) 1379
54.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1162
46.0%
Lowercase Letter 864
34.2%
Space Separator 274
 
10.9%
Other Letter 130
 
5.2%
Dash Punctuation 51
 
2.0%
Other Punctuation 41
 
1.6%
Modifier Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
6.2%
진 7
 
5.4%
정 7
 
5.4%
영 4
 
3.1%
호 3
 
2.3%
유 3
 
2.3%
이 3
 
2.3%
나 3
 
2.3%
장 3
 
2.3%
수 3
 
2.3%
Other values (66) 86
66.2%
Lowercase Letter
ValueCountFrequency (%)
n 122
14.1%
a 115
13.3%
i 96
11.1%
e 91
10.5%
o 85
9.8%
u 49
 
5.7%
l 41
 
4.7%
r 39
 
4.5%
g 36
 
4.2%
h 29
 
3.4%
Other values (19) 161
18.6%
Uppercase Letter
ValueCountFrequency (%)
A 118
 
10.2%
E 97
 
8.3%
O 74
 
6.4%
S 73
 
6.3%
I 73
 
6.3%
N 71
 
6.1%
R 68
 
5.9%
H 65
 
5.6%
M 51
 
4.4%
K 49
 
4.2%
Other values (17) 423
36.4%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
& 1
 
2.4%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2026
80.3%
Common 368
 
14.6%
Hangul 130
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
6.2%
진 7
 
5.4%
정 7
 
5.4%
영 4
 
3.1%
호 3
 
2.3%
유 3
 
2.3%
이 3
 
2.3%
나 3
 
2.3%
장 3
 
2.3%
수 3
 
2.3%
Other values (66) 86
66.2%
Latin
ValueCountFrequency (%)
n 122
 
6.0%
A 118
 
5.8%
a 115
 
5.7%
E 97
 
4.8%
i 96
 
4.7%
e 91
 
4.5%
o 85
 
4.2%
O 74
 
3.7%
S 73
 
3.6%
I 73
 
3.6%
Other values (46) 1082
53.4%
Common
ValueCountFrequency (%)
274
74.5%
- 51
 
13.9%
, 40
 
10.9%
` 2
 
0.5%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2381
94.3%
Hangul 130
 
5.2%
None 13
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
 
11.5%
n 122
 
5.1%
A 118
 
5.0%
a 115
 
4.8%
E 97
 
4.1%
i 96
 
4.0%
e 91
 
3.8%
o 85
 
3.6%
O 74
 
3.1%
S 73
 
3.1%
Other values (44) 1236
51.9%
Hangul
ValueCountFrequency (%)
김 8
 
6.2%
진 7
 
5.4%
정 7
 
5.4%
영 4
 
3.1%
호 3
 
2.3%
유 3
 
2.3%
이 3
 
2.3%
나 3
 
2.3%
장 3
 
2.3%
수 3
 
2.3%
Other values (66) 86
66.2%
None
ValueCountFrequency (%)
é 5
38.5%
Á 3
23.1%
è 1
 
7.7%
ó 1
 
7.7%
É 1
 
7.7%
ï 1
 
7.7%
ê 1
 
7.7%

음향
Text

MISSING 

Distinct153
Distinct (%)95.0%
Missing210
Missing (%)56.6%
Memory size3.0 KiB
2023-12-11T14:03:29.569275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length38
Mean length17.378882
Min length1

Characters and Unicode

Total characters2798
Distinct characters145
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

Unique145 ?
Unique (%)90.1%

Sample

1st row김지희 KIM Ji-Hee
2nd rowPedro LIMA, Marcelo CYRO
3rd rowRITMIKA
4th rowWeston FONGER
5th row표용수 PYO Yong-Su, 고은하 KO Eun-Ha
ValueCountFrequency (%)
kim 9
 
2.1%
eduardo 3
 
0.7%
christian 3
 
0.7%
young-ho 3
 
0.7%
adam 3
 
0.7%
lee 3
 
0.7%
kang 3
 
0.7%
fadeev 3
 
0.7%
artem 3
 
0.7%
3
 
0.7%
Other values (362) 399
91.7%
2023-12-11T14:03:30.337878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
10.0%
A 143
 
5.1%
a 139
 
5.0%
E 112
 
4.0%
n 110
 
3.9%
i 100
 
3.6%
e 98
 
3.5%
N 97
 
3.5%
o 96
 
3.4%
R 89
 
3.2%
Other values (135) 1535
54.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1323
47.3%
Lowercase Letter 1013
36.2%
Space Separator 279
 
10.0%
Other Letter 110
 
3.9%
Other Punctuation 37
 
1.3%
Dash Punctuation 34
 
1.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
7.3%
영 6
 
5.5%
이 4
 
3.6%
동 4
 
3.6%
남 3
 
2.7%
택 3
 
2.7%
강 3
 
2.7%
호 3
 
2.7%
희 3
 
2.7%
지 3
 
2.7%
Other values (60) 70
63.6%
Uppercase Letter
ValueCountFrequency (%)
A 143
 
10.8%
E 112
 
8.5%
N 97
 
7.3%
R 89
 
6.7%
O 80
 
6.0%
S 74
 
5.6%
I 74
 
5.6%
M 64
 
4.8%
H 62
 
4.7%
L 57
 
4.3%
Other values (25) 471
35.6%
Lowercase Letter
ValueCountFrequency (%)
a 139
13.7%
n 110
10.9%
i 100
9.9%
e 98
9.7%
o 96
9.5%
r 72
 
7.1%
u 57
 
5.6%
t 42
 
4.1%
l 39
 
3.8%
s 37
 
3.7%
Other values (21) 223
22.0%
Other Punctuation
ValueCountFrequency (%)
, 30
81.1%
. 2
 
5.4%
" 2
 
5.4%
& 2
 
5.4%
/ 1
 
2.7%
Space Separator
ValueCountFrequency (%)
279
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2336
83.5%
Common 352
 
12.6%
Hangul 110
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
7.3%
영 6
 
5.5%
이 4
 
3.6%
동 4
 
3.6%
남 3
 
2.7%
택 3
 
2.7%
강 3
 
2.7%
호 3
 
2.7%
희 3
 
2.7%
지 3
 
2.7%
Other values (60) 70
63.6%
Latin
ValueCountFrequency (%)
A 143
 
6.1%
a 139
 
6.0%
E 112
 
4.8%
n 110
 
4.7%
i 100
 
4.3%
e 98
 
4.2%
N 97
 
4.2%
o 96
 
4.1%
R 89
 
3.8%
O 80
 
3.4%
Other values (56) 1272
54.5%
Common
ValueCountFrequency (%)
279
79.3%
- 34
 
9.7%
, 30
 
8.5%
. 2
 
0.6%
" 2
 
0.6%
& 2
 
0.6%
/ 1
 
0.3%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2668
95.4%
Hangul 110
 
3.9%
None 20
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
 
10.5%
A 143
 
5.4%
a 139
 
5.2%
E 112
 
4.2%
n 110
 
4.1%
i 100
 
3.7%
e 98
 
3.7%
N 97
 
3.6%
o 96
 
3.6%
R 89
 
3.3%
Other values (51) 1405
52.7%
Hangul
ValueCountFrequency (%)
김 8
 
7.3%
영 6
 
5.5%
이 4
 
3.6%
동 4
 
3.6%
남 3
 
2.7%
택 3
 
2.7%
강 3
 
2.7%
호 3
 
2.7%
희 3
 
2.7%
지 3
 
2.7%
Other values (60) 70
63.6%
None
ValueCountFrequency (%)
é 3
15.0%
Š 2
10.0%
Ü 2
10.0%
ï 2
10.0%
í 2
10.0%
Ć 1
 
5.0%
Ö 1
 
5.0%
Ä 1
 
5.0%
Ó 1
 
5.0%
ó 1
 
5.0%
Other values (4) 4
20.0%

배경
Text

MISSING 

Distinct119
Distinct (%)97.5%
Missing249
Missing (%)67.1%
Memory size3.0 KiB
2023-12-11T14:03:30.835678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length49
Mean length21.688525
Min length1

Characters and Unicode

Total characters2646
Distinct characters153
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

Unique116 ?
Unique (%)95.1%

Sample

1st row김균석 KIM Kyun-Suk
2nd rowAlê ABREU
3rd rowFabio COBIACO
4th row김영재 KIM Young-Jae, 김은숙 KIM Eun-Sook
5th rowAlessandro RAK
ValueCountFrequency (%)
kim 11
 
2.7%
lee 7
 
1.7%
daniela 4
 
1.0%
oh 3
 
0.7%
masanobu 2
 
0.5%
hemker 2
 
0.5%
jung 2
 
0.5%
claudia 2
 
0.5%
yves 2
 
0.5%
gutjahr 2
 
0.5%
Other values (360) 378
91.1%
2023-12-11T14:03:31.634551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
 
11.3%
a 125
 
4.7%
n 124
 
4.7%
A 124
 
4.7%
E 114
 
4.3%
o 95
 
3.6%
i 95
 
3.6%
e 80
 
3.0%
R 73
 
2.8%
S 72
 
2.7%
Other values (143) 1445
54.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1168
44.1%
Lowercase Letter 893
33.7%
Space Separator 299
 
11.3%
Other Letter 161
 
6.1%
Dash Punctuation 59
 
2.2%
Other Punctuation 59
 
2.2%
Control 5
 
0.2%
Modifier Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
5.0%
정 7
 
4.3%
이 7
 
4.3%
영 6
 
3.7%
진 5
 
3.1%
나 4
 
2.5%
민 4
 
2.5%
은 4
 
2.5%
리 3
 
1.9%
오 3
 
1.9%
Other values (78) 110
68.3%
Lowercase Letter
ValueCountFrequency (%)
a 125
14.0%
n 124
13.9%
o 95
10.6%
i 95
10.6%
e 80
9.0%
u 61
 
6.8%
r 46
 
5.2%
l 42
 
4.7%
g 36
 
4.0%
h 24
 
2.7%
Other values (19) 165
18.5%
Uppercase Letter
ValueCountFrequency (%)
A 124
 
10.6%
E 114
 
9.8%
R 73
 
6.2%
S 72
 
6.2%
I 70
 
6.0%
N 69
 
5.9%
O 69
 
5.9%
H 65
 
5.6%
M 55
 
4.7%
K 52
 
4.5%
Other values (18) 405
34.7%
Other Punctuation
ValueCountFrequency (%)
, 54
91.5%
: 3
 
5.1%
/ 1
 
1.7%
. 1
 
1.7%
Space Separator
ValueCountFrequency (%)
299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2061
77.9%
Common 424
 
16.0%
Hangul 161
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
5.0%
정 7
 
4.3%
이 7
 
4.3%
영 6
 
3.7%
진 5
 
3.1%
나 4
 
2.5%
민 4
 
2.5%
은 4
 
2.5%
리 3
 
1.9%
오 3
 
1.9%
Other values (78) 110
68.3%
Latin
ValueCountFrequency (%)
a 125
 
6.1%
n 124
 
6.0%
A 124
 
6.0%
E 114
 
5.5%
o 95
 
4.6%
i 95
 
4.6%
e 80
 
3.9%
R 73
 
3.5%
S 72
 
3.5%
I 70
 
3.4%
Other values (47) 1089
52.8%
Common
ValueCountFrequency (%)
299
70.5%
- 59
 
13.9%
, 54
 
12.7%
5
 
1.2%
: 3
 
0.7%
` 2
 
0.5%
/ 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2472
93.4%
Hangul 161
 
6.1%
None 13
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
 
12.1%
a 125
 
5.1%
n 124
 
5.0%
A 124
 
5.0%
E 114
 
4.6%
o 95
 
3.8%
i 95
 
3.8%
e 80
 
3.2%
R 73
 
3.0%
S 72
 
2.9%
Other values (48) 1271
51.4%
Hangul
ValueCountFrequency (%)
김 8
 
5.0%
정 7
 
4.3%
이 7
 
4.3%
영 6
 
3.7%
진 5
 
3.1%
나 4
 
2.5%
민 4
 
2.5%
은 4
 
2.5%
리 3
 
1.9%
오 3
 
1.9%
Other values (78) 110
68.3%
None
ValueCountFrequency (%)
é 5
38.5%
Á 2
 
15.4%
É 2
 
15.4%
è 1
 
7.7%
ï 1
 
7.7%
ê 1
 
7.7%
Ć 1
 
7.7%

기타
Text

MISSING 

Distinct35
Distinct (%)89.7%
Missing332
Missing (%)89.5%
Memory size3.0 KiB
2023-12-11T14:03:32.128362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length196
Median length61
Mean length47.717949
Min length1

Characters and Unicode

Total characters1861
Distinct characters88
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

Unique34 ?
Unique (%)87.2%

Sample

1st rowPost Production: O2 Filmes
2nd rowVoices - Elisa de MAURY, Christian LEONARD Graphic Design and Sets - Anna KHMELEVSKAYA Additional Music: Luki by John McLAUGHLIN, courtesy of the author, live version mixed by Marcus WIPPERSBERG
3rd rowGraphic Design - Hugo CIERZNIAK
4th rowColoring: 박정원 PARK Jung-Won
5th row
ValueCountFrequency (%)
23
 
8.6%
lee 6
 
2.2%
voice 5
 
1.9%
design 5
 
1.9%
voices 3
 
1.1%
graphic 3
 
1.1%
by 2
 
0.7%
original 2
 
0.7%
mix 2
 
0.7%
crafts 2
 
0.7%
Other values (203) 216
80.3%
2023-12-11T14:03:32.893413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
15.4%
i 97
 
5.2%
n 84
 
4.5%
e 73
 
3.9%
a 71
 
3.8%
o 68
 
3.7%
A 65
 
3.5%
r 58
 
3.1%
E 58
 
3.1%
s 45
 
2.4%
Other values (78) 956
51.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 777
41.8%
Uppercase Letter 654
35.1%
Space Separator 286
 
15.4%
Other Punctuation 61
 
3.3%
Dash Punctuation 37
 
2.0%
Other Letter 35
 
1.9%
Control 9
 
0.5%
Math Symbol 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 65
 
9.9%
E 58
 
8.9%
R 44
 
6.7%
O 39
 
6.0%
I 35
 
5.4%
L 34
 
5.2%
S 33
 
5.0%
D 31
 
4.7%
N 30
 
4.6%
C 27
 
4.1%
Other values (17) 258
39.4%
Lowercase Letter
ValueCountFrequency (%)
i 97
12.5%
n 84
10.8%
e 73
9.4%
a 71
9.1%
o 68
 
8.8%
r 58
 
7.5%
s 45
 
5.8%
t 39
 
5.0%
c 34
 
4.4%
g 33
 
4.2%
Other values (16) 175
22.5%
Other Letter
ValueCountFrequency (%)
이 5
 
14.3%
원 3
 
8.6%
영 2
 
5.7%
한 2
 
5.7%
정 2
 
5.7%
동 2
 
5.7%
요 1
 
2.9%
고 1
 
2.9%
규 1
 
2.9%
재 1
 
2.9%
Other values (15) 15
42.9%
Other Punctuation
ValueCountFrequency (%)
, 36
59.0%
: 22
36.1%
& 2
 
3.3%
. 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 36
97.3%
– 1
 
2.7%
Space Separator
ValueCountFrequency (%)
286
100.0%
Control
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1431
76.9%
Common 395
 
21.2%
Hangul 35
 
1.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 97
 
6.8%
n 84
 
5.9%
e 73
 
5.1%
a 71
 
5.0%
o 68
 
4.8%
A 65
 
4.5%
r 58
 
4.1%
E 58
 
4.1%
s 45
 
3.1%
R 44
 
3.1%
Other values (43) 768
53.7%
Hangul
ValueCountFrequency (%)
이 5
 
14.3%
원 3
 
8.6%
영 2
 
5.7%
한 2
 
5.7%
정 2
 
5.7%
동 2
 
5.7%
요 1
 
2.9%
고 1
 
2.9%
규 1
 
2.9%
재 1
 
2.9%
Other values (15) 15
42.9%
Common
ValueCountFrequency (%)
286
72.4%
, 36
 
9.1%
- 36
 
9.1%
: 22
 
5.6%
9
 
2.3%
& 2
 
0.5%
– 1
 
0.3%
| 1
 
0.3%
2 1
 
0.3%
. 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1813
97.4%
Hangul 35
 
1.9%
None 12
 
0.6%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
 
15.8%
i 97
 
5.4%
n 84
 
4.6%
e 73
 
4.0%
a 71
 
3.9%
o 68
 
3.8%
A 65
 
3.6%
r 58
 
3.2%
E 58
 
3.2%
s 45
 
2.5%
Other values (48) 908
50.1%
None
ValueCountFrequency (%)
é 6
50.0%
É 3
25.0%
è 2
 
16.7%
Ć 1
 
8.3%
Hangul
ValueCountFrequency (%)
이 5
 
14.3%
원 3
 
8.6%
영 2
 
5.7%
한 2
 
5.7%
정 2
 
5.7%
동 2
 
5.7%
요 1
 
2.9%
고 1
 
2.9%
규 1
 
2.9%
재 1
 
2.9%
Other values (15) 15
42.9%
Punctuation
ValueCountFrequency (%)
– 1
100.0%

시놉국문
Text

Distinct351
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:33.364150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length604
Median length158
Mean length104.73046
Min length6

Characters and Unicode

Total characters38855
Distinct characters1003
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique331 ?
Unique (%)89.2%

Sample

1st row<메밀꽃 필 무렵 > 장돌뱅이로 평생을 살아온 허생원은 봉평장이 서던 날 같은 장돌뱅이인 조선달을 따라간 주막에서 젊은 장돌뱅이 동이를 만난다. 메밀꽃이 핀 달밤에 그들과 동행하던 허생원은 동이와 자신의 기막힌 인연을 감지한다. <운수 좋은 날> 딸과 혼인시켜주겠다는 장인의 말만 철석같이 믿고 데릴사위로 머슴일을 하는 ‘나’. 하지만 장인은 딸 점순이의 키가 크지 않는다는 핑계를 대며 계속 결혼을 미루고 일만 부려먹는다. 화가 난 ‘나’는 참다못해 장인과 맞짱을 뜨는데... <봄봄> 아픈 아내의 만류를 뿌리치고 일을 나온 인력거꾼 김첨지는 허탕을 치던 다른 날과는 달리 많은 손님을 맞게 되고, 좋은 운수가 계속 되자 서서히 자신에게 다가온 운수를 의심하기 시작한다. 그 날 매우 지친 몸으로 집으로 돌아가던 김첨지는 알 수 없는 불안감으로 몹시 두려운 마음이 생기는데…
2nd row아버지의 부재로 인해 힘겹게 살아가던 소년이 살던 마을을 떠나, 동물의 모습을 한 기계와 이상한 존재들로 가득한 환상적인 세계를 만난다.다양한 예술적인 기교로 만들어진 이 특별한 애니메이션은 어린 아이의 눈을 통해 본 현대 사회의 문제들을 드러낸다.
3rd row의도치 않게 지면까지 올라오게 된 작은 지렁이 주니어와 그의 친구들 니코와 린다가 집으로 돌아가기 위한 길을 찾기 시작한다.하지만 집으로 돌아가기 전에 이 꿈틀이들은 온 세상의 지렁이들을 노예 좀비로 만들려고 하는 무시무시한 악당 롤리폴리의 세계정복 계획을 무너뜨려야만 한다.
4th row이제 막 결혼한 아내가 자기 사랑의 깊이를 증명하기 위해 바람난 남편의 정부(情婦)가 된다.
5th rowOne day, Kyung-Chun is suddenly transformed into a timid brindled cow by magic.Never knowing the reason, he is chased by an Incinerator.However, thanks to the help of Merlin, the Toilet Paper Wizard, he manages to save his life.Also, a satellite named Il-ho, which was about to crash down on the earth gains its rebirth as a little girl by Merlin’s magic.However, threats by a hunter, Mr.Oh who tries to catch Kyung-Chun and also the Incinerator who wants to burn all the enchanted people approach them closer.Could this ever best ‘Magic Dream Team’ fight off all the evils and save the world indeed?
ValueCountFrequency (%)
한 96
 
1.1%
수 66
 
0.7%
이 62
 
0.7%
대한 49
 
0.5%
있는 43
 
0.5%
위해 35
 
0.4%
날 29
 
0.3%
작품은 29
 
0.3%
있다 29
 
0.3%
그 27
 
0.3%
Other values (5702) 8520
94.8%
2023-12-11T14:03:34.172822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8639
 
22.2%
이 1031
 
2.7%
다 954
 
2.5%
. 924
 
2.4%
는 740
 
1.9%
을 617
 
1.6%
한 614
 
1.6%
에 605
 
1.6%
의 578
 
1.5%
가 509
 
1.3%
Other values (993) 23644
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27720
71.3%
Space Separator 8639
 
22.2%
Other Punctuation 1339
 
3.4%
Lowercase Letter 611
 
1.6%
Decimal Number 197
 
0.5%
Uppercase Letter 69
 
0.2%
Open Punctuation 60
 
0.2%
Close Punctuation 60
 
0.2%
Final Punctuation 48
 
0.1%
Initial Punctuation 47
 
0.1%
Other values (4) 65
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1031
 
3.7%
다 954
 
3.4%
는 740
 
2.7%
을 617
 
2.2%
한 614
 
2.2%
에 605
 
2.2%
의 578
 
2.1%
가 509
 
1.8%
하 422
 
1.5%
로 421
 
1.5%
Other values (912) 21229
76.6%
Lowercase Letter
ValueCountFrequency (%)
e 71
11.6%
a 58
 
9.5%
t 51
 
8.3%
n 48
 
7.9%
i 47
 
7.7%
o 46
 
7.5%
r 44
 
7.2%
h 37
 
6.1%
l 34
 
5.6%
s 30
 
4.9%
Other values (15) 145
23.7%
Uppercase Letter
ValueCountFrequency (%)
C 7
 
10.1%
T 7
 
10.1%
W 5
 
7.2%
M 5
 
7.2%
D 5
 
7.2%
G 5
 
7.2%
I 4
 
5.8%
X 4
 
5.8%
S 3
 
4.3%
H 3
 
4.3%
Other values (13) 21
30.4%
Decimal Number
ValueCountFrequency (%)
0 42
21.3%
1 40
20.3%
2 40
20.3%
3 16
 
8.1%
8 12
 
6.1%
4 11
 
5.6%
9 10
 
5.1%
5 10
 
5.1%
7 9
 
4.6%
6 7
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 924
69.0%
, 325
 
24.3%
? 28
 
2.1%
! 26
 
1.9%
… 25
 
1.9%
" 10
 
0.7%
& 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 6
46.2%
> 6
46.2%
= 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
〈 39
65.0%
( 21
35.0%
Close Punctuation
ValueCountFrequency (%)
〉 39
65.0%
) 21
35.0%
Final Punctuation
ValueCountFrequency (%)
’ 28
58.3%
” 20
41.7%
Initial Punctuation
ValueCountFrequency (%)
‘ 27
57.4%
“ 20
42.6%
Dash Punctuation
ValueCountFrequency (%)
- 10
83.3%
― 2
 
16.7%
Space Separator
ValueCountFrequency (%)
8639
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 38
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27715
71.3%
Common 10455
 
26.9%
Latin 680
 
1.8%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1031
 
3.7%
다 954
 
3.4%
는 740
 
2.7%
을 617
 
2.2%
한 614
 
2.2%
에 605
 
2.2%
의 578
 
2.1%
가 509
 
1.8%
하 422
 
1.5%
로 421
 
1.5%
Other values (907) 21224
76.6%
Latin
ValueCountFrequency (%)
e 71
 
10.4%
a 58
 
8.5%
t 51
 
7.5%
n 48
 
7.1%
i 47
 
6.9%
o 46
 
6.8%
r 44
 
6.5%
h 37
 
5.4%
l 34
 
5.0%
s 30
 
4.4%
Other values (38) 214
31.5%
Common
ValueCountFrequency (%)
8639
82.6%
. 924
 
8.8%
, 325
 
3.1%
0 42
 
0.4%
1 40
 
0.4%
2 40
 
0.4%
〈 39
 
0.4%
〉 39
 
0.4%
` 38
 
0.4%
’ 28
 
0.3%
Other values (23) 301
 
2.9%
Han
ValueCountFrequency (%)
婦 1
20.0%
情 1
20.0%
大 1
20.0%
糖 1
20.0%
衣 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27715
71.3%
ASCII 10935
 
28.1%
Punctuation 122
 
0.3%
None 78
 
0.2%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8639
79.0%
. 924
 
8.4%
, 325
 
3.0%
e 71
 
0.6%
a 58
 
0.5%
t 51
 
0.5%
n 48
 
0.4%
i 47
 
0.4%
o 46
 
0.4%
r 44
 
0.4%
Other values (63) 682
 
6.2%
Hangul
ValueCountFrequency (%)
이 1031
 
3.7%
다 954
 
3.4%
는 740
 
2.7%
을 617
 
2.2%
한 614
 
2.2%
에 605
 
2.2%
의 578
 
2.1%
가 509
 
1.8%
하 422
 
1.5%
로 421
 
1.5%
Other values (907) 21224
76.6%
None
ValueCountFrequency (%)
〈 39
50.0%
〉 39
50.0%
Punctuation
ValueCountFrequency (%)
’ 28
23.0%
‘ 27
22.1%
… 25
20.5%
” 20
16.4%
“ 20
16.4%
― 2
 
1.6%
CJK
ValueCountFrequency (%)
婦 1
20.0%
情 1
20.0%
大 1
20.0%
糖 1
20.0%
衣 1
20.0%

시놉영문
Text

Distinct362
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T14:03:34.727771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length285
Mean length215.26954
Min length20

Characters and Unicode

Total characters79865
Distinct characters212
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)95.1%

Sample

1st row<When the Buckwheat Flowers Bloom> HEO Saeng-Won is an ageing market vendor. He has been a peddler all his life. After a long day at the marketplace in Bongpyeong village, he follows his fellow peddler JO Seon-Dal into an inn where he meets a young itinerant vendor, Dong-I. As the three accompany each other under the moonlight along the buckwheat flowers, HEO Saeng-Won realizes he has a special bond with Dong-I. <Spring Spring> ‘I’ toil on the field day and night as a servant for a man who has promised to give his daughter’s hand to me in return for my labor. The man, however, keeps putting off the wedding, saying that his daughter is not growing fast enough. One day, out of fury, I call the man to the ultimate match. <A Lucky Day> KIM, who earns his living by driving a rickshaw, gets out on the street again, even after hearing from his wife that she is seriously ill. KIM then gets to drive an unusually large number of customers that day, and begins to suspect something hideous may lie ahead of his sudde
2nd rowSuffering from the lack of the father, a boy leaves his village and discovers a fantastic world dominated by animal-machines and strange beings.An extraordinary animation with many artistic techniques, portraying the issues of the modern world through the eyes of a child
3rd rowAccidentally dug to the surface, the little earthworm Junior and his friends Nico and Linda work out a way to go back home.But first, they need to spoil plans of world`s domination of the terrible and evil "rolly-polly" who wants to transform all the earthworms of the world in slaved zombies.
4th rowA newlywed wife proves the depth of her love by becoming her cheating husband’s mistresses.
5th row어느날 갑자기, 마법에 의해 소심한 얼룩소로 변해버린 `경천`.영문도 모른채 `소각자`에게 쫓기는 신세가 된 얼룩소 경천은 화장지마법사 `멀린`의 도움으로 가까스로 구출된다.한편 수명이 다해 지구로 추락하던 인공위성 `일호` 역시 `멀린`의 마법으로 소녀의 모습으로 탄생하게 된다.하지만 동물들과 얼룩소 경천을 팔아 넘기려는 사냥꾼 `오사장`과 마법에 걸린 사람들을 태워버리려는 소각자 등 검은 괴물들의 위협은 점점 더 가까워져 오는데… 과연 `얼룩소 경천`과 `로봇소녀 일호` 화장지 마법사 `멀린`과 멧돼지 `북쪽마녀`까지 사상 최강의 마법드림팀은 악의 무리에 맞서 세상을 구해낼 수 있을까?
ValueCountFrequency (%)
the 828
 
6.2%
a 648
 
4.8%
and 451
 
3.4%
of 445
 
3.3%
to 322
 
2.4%
is 244
 
1.8%
in 241
 
1.8%
his 120
 
0.9%
on 116
 
0.9%
with 111
 
0.8%
Other values (4066) 9932
73.8%
2023-12-11T14:03:35.504219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13098
16.4%
e 7552
 
9.5%
a 5360
 
6.7%
t 5315
 
6.7%
i 4749
 
5.9%
o 4643
 
5.8%
n 4608
 
5.8%
s 4179
 
5.2%
r 3763
 
4.7%
h 3229
 
4.0%
Other values (202) 23369
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62171
77.8%
Space Separator 13100
 
16.4%
Uppercase Letter 2002
 
2.5%
Other Punctuation 1624
 
2.0%
Other Letter 235
 
0.3%
Decimal Number 169
 
0.2%
Dash Punctuation 163
 
0.2%
Modifier Symbol 122
 
0.2%
Final Punctuation 103
 
0.1%
Open Punctuation 45
 
0.1%
Other values (5) 131
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 9
 
3.8%
의 7
 
3.0%
마 7
 
3.0%
로 7
 
3.0%
사 6
 
2.6%
법 6
 
2.6%
지 6
 
2.6%
린 5
 
2.1%
과 5
 
2.1%
룩 4
 
1.7%
Other values (103) 173
73.6%
Lowercase Letter
ValueCountFrequency (%)
e 7552
12.1%
a 5360
 
8.6%
t 5315
 
8.5%
i 4749
 
7.6%
o 4643
 
7.5%
n 4608
 
7.4%
s 4179
 
6.7%
r 3763
 
6.1%
h 3229
 
5.2%
l 2657
 
4.3%
Other values (20) 16116
25.9%
Uppercase Letter
ValueCountFrequency (%)
T 267
13.3%
A 262
13.1%
I 195
 
9.7%
S 134
 
6.7%
H 95
 
4.7%
B 88
 
4.4%
M 86
 
4.3%
C 84
 
4.2%
W 81
 
4.0%
E 78
 
3.9%
Other values (19) 632
31.6%
Decimal Number
ValueCountFrequency (%)
2 39
23.1%
0 33
19.5%
1 32
18.9%
9 13
 
7.7%
3 12
 
7.1%
8 11
 
6.5%
7 10
 
5.9%
4 8
 
4.7%
6 6
 
3.6%
5 5
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 856
52.7%
, 614
37.8%
" 53
 
3.3%
? 30
 
1.8%
… 29
 
1.8%
! 25
 
1.5%
: 11
 
0.7%
& 3
 
0.2%
; 3
 
0.2%
Space Separator
ValueCountFrequency (%)
13098
> 99.9%
　 1
 
< 0.1%
  1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
〈 28
62.2%
( 15
33.3%
„ 2
 
4.4%
Math Symbol
ValueCountFrequency (%)
> 17
48.6%
< 17
48.6%
= 1
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 158
96.9%
– 5
 
3.1%
Modifier Symbol
ValueCountFrequency (%)
` 119
97.5%
´ 3
 
2.5%
Final Punctuation
ValueCountFrequency (%)
’ 82
79.6%
” 21
 
20.4%
Close Punctuation
ValueCountFrequency (%)
〉 28
65.1%
) 15
34.9%
Initial Punctuation
ValueCountFrequency (%)
“ 22
57.9%
‘ 16
42.1%
Control
ValueCountFrequency (%)
14
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64174
80.4%
Common 15456
 
19.4%
Hangul 235
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 9
 
3.8%
의 7
 
3.0%
마 7
 
3.0%
로 7
 
3.0%
사 6
 
2.6%
법 6
 
2.6%
지 6
 
2.6%
린 5
 
2.1%
과 5
 
2.1%
룩 4
 
1.7%
Other values (103) 173
73.6%
Latin
ValueCountFrequency (%)
e 7552
11.8%
a 5360
 
8.4%
t 5315
 
8.3%
i 4749
 
7.4%
o 4643
 
7.2%
n 4608
 
7.2%
s 4179
 
6.5%
r 3763
 
5.9%
h 3229
 
5.0%
l 2657
 
4.1%
Other values (50) 18119
28.2%
Common
ValueCountFrequency (%)
13098
84.7%
. 856
 
5.5%
, 614
 
4.0%
- 158
 
1.0%
` 119
 
0.8%
’ 82
 
0.5%
" 53
 
0.3%
2 39
 
0.3%
0 33
 
0.2%
1 32
 
0.2%
Other values (29) 372
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79374
99.4%
Hangul 235
 
0.3%
Punctuation 177
 
0.2%
None 78
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13098
16.5%
e 7552
 
9.5%
a 5360
 
6.8%
t 5315
 
6.7%
i 4749
 
6.0%
o 4643
 
5.8%
n 4608
 
5.8%
s 4179
 
5.3%
r 3763
 
4.7%
h 3229
 
4.1%
Other values (69) 22878
28.8%
Punctuation
ValueCountFrequency (%)
’ 82
46.3%
… 29
 
16.4%
“ 22
 
12.4%
” 21
 
11.9%
‘ 16
 
9.0%
– 5
 
2.8%
„ 2
 
1.1%
None
ValueCountFrequency (%)
〉 28
35.9%
〈 28
35.9%
é 7
 
9.0%
Ł 3
 
3.8%
Ń 3
 
3.8%
´ 3
 
3.8%
　 1
 
1.3%
Ę 1
 
1.3%
î 1
 
1.3%
  1
 
1.3%
Other values (2) 2
 
2.6%
Hangul
ValueCountFrequency (%)
소 9
 
3.8%
의 7
 
3.0%
마 7
 
3.0%
로 7
 
3.0%
사 6
 
2.6%
법 6
 
2.6%
지 6
 
2.6%
린 5
 
2.1%
과 5
 
2.1%
룩 4
 
1.7%
Other values (103) 173
73.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

제작기법
Text

MISSING 

Distinct73
Distinct (%)24.7%
Missing75
Missing (%)20.2%
Memory size3.0 KiB
2023-12-11T14:03:35.843828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length64
Mean length17.114865
Min length4

Characters and Unicode

Total characters5066
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)16.6%

Sample

1st row2D Computer
2nd rowDrawing on Paper, Cut-outs, 2D Computer, 3D Computer
3rd rowStop motion
4th rowDrawing On Paper, Cut-outs, 2D Computer, 3D Computer
5th row2D Computer, 3D Computer
ValueCountFrequency (%)
computer 196
23.6%
2d 130
15.7%
on 83
10.0%
drawing 80
9.6%
paper 74
 
8.9%
3d 69
 
8.3%
puppet 27
 
3.3%
cut-outs 27
 
3.3%
animated 17
 
2.0%
media 12
 
1.4%
Other values (46) 115
13.9%
2023-12-11T14:03:36.479748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
 
10.9%
e 390
 
7.7%
o 370
 
7.3%
t 366
 
7.2%
r 365
 
7.2%
p 346
 
6.8%
u 288
 
5.7%
D 283
 
5.6%
C 241
 
4.8%
a 230
 
4.5%
Other values (34) 1633
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3410
67.3%
Uppercase Letter 745
 
14.7%
Space Separator 554
 
10.9%
Decimal Number 199
 
3.9%
Other Punctuation 123
 
2.4%
Dash Punctuation 35
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 390
11.4%
o 370
10.9%
t 366
10.7%
r 365
10.7%
p 346
10.1%
u 288
8.4%
a 230
6.7%
n 224
6.6%
m 222
6.5%
i 178
5.2%
Other values (14) 431
12.6%
Uppercase Letter
ValueCountFrequency (%)
D 283
38.0%
C 241
32.3%
P 119
16.0%
M 26
 
3.5%
A 22
 
3.0%
O 18
 
2.4%
S 13
 
1.7%
R 8
 
1.1%
L 5
 
0.7%
G 4
 
0.5%
Other values (5) 6
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 130
65.3%
3 69
34.7%
Space Separator
ValueCountFrequency (%)
554
100.0%
Other Punctuation
ValueCountFrequency (%)
, 123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4155
82.0%
Common 911
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 390
 
9.4%
o 370
 
8.9%
t 366
 
8.8%
r 365
 
8.8%
p 346
 
8.3%
u 288
 
6.9%
D 283
 
6.8%
C 241
 
5.8%
a 230
 
5.5%
n 224
 
5.4%
Other values (29) 1052
25.3%
Common
ValueCountFrequency (%)
554
60.8%
2 130
 
14.3%
, 123
 
13.5%
3 69
 
7.6%
- 35
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
 
10.9%
e 390
 
7.7%
o 370
 
7.3%
t 366
 
7.2%
r 365
 
7.2%
p 346
 
6.8%
u 288
 
5.7%
D 283
 
5.6%
C 241
 
4.8%
a 230
 
4.5%
Other values (34) 1633
32.2%

상영포맷
Categorical

Distinct12
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
HD File
195 
DVD
66 
Blu-ray
32 
DCP
30 
HD CAM
27 
Other values (7)
21 

Length

Max length11
Median length7
Mean length5.8894879
Min length1

Unique

Unique5 ?
Unique (%)1.3%

Sample

1st rowDCP
2nd rowHD File
3rd rowHD File
4th rowDCP
5th rowHD CAM, DCP

Common Values

ValueCountFrequency (%)
HD File 195
52.6%
DVD 66
 
17.8%
Blu-ray 32
 
8.6%
DCP 30
 
8.1%
HD CAM 27
 
7.3%
HD FILE 12
 
3.2%
HD FIle 4
 
1.1%
HD CAM, DCP 1
 
0.3%
1
 
0.3%
35mm 1
 
0.3%
Other values (2) 2
 
0.5%

Length

2023-12-11T14:03:36.721617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hd 239
39.1%
file 211
34.5%
dvd 66
 
10.8%
blu-ray 32
 
5.2%
dcp 31
 
5.1%
cam 28
 
4.6%
35mm 1
 
0.2%
digi-beta 1
 
0.2%
mov 1
 
0.2%
h.264 1
 
0.2%

상영포맷_기타
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
343 
 
28

Length

Max length4
Median length4
Mean length3.7735849
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 343
92.5%
28
 
7.5%

Length

2023-12-11T14:03:36.919306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:37.128931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 343
100.0%

사운드
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
176 
Stereo
156 
Dolby Digital
24 
Dolby SR
 
7
 
3
Other values (4)
 
5

Length

Max length18
Median length13
Mean length5.5148248
Min length1

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd rowDolby SR
3rd rowDolby Digital
4th rowStereo
5th rowDolby Digital

Common Values

ValueCountFrequency (%)
<NA> 176
47.4%
Stereo 156
42.0%
Dolby Digital 24
 
6.5%
Dolby SR 7
 
1.9%
3
 
0.8%
Mono 2
 
0.5%
Dolby Digital, 5.1 1
 
0.3%
SDDS 1
 
0.3%
Other 1
 
0.3%

Length

2023-12-11T14:03:37.337482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:37.549614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 176
43.9%
stereo 156
38.9%
dolby 32
 
8.0%
digital 25
 
6.2%
sr 7
 
1.7%
mono 2
 
0.5%
5.1 1
 
0.2%
sdds 1
 
0.2%
other 1
 
0.2%

사운드_기타
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)97.8%
Memory size3.0 KiB

영상비율
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)46.4%
Memory size3.0 KiB

영상비율_기타
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing368
Missing (%)99.2%
Memory size3.0 KiB
2023-12-11T14:03:37.779809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length1
Mean length7.6666667
Min length1

Characters and Unicode

Total characters23
Distinct characters18
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row
2nd rowScreen Ratio (1.78:1)
3rd row
ValueCountFrequency (%)
screen 1
33.3%
ratio 1
33.3%
1.78:1 1
33.3%
2023-12-11T14:03:38.243652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
17.4%
e 2
 
8.7%
1 2
 
8.7%
o 1
 
4.3%
: 1
 
4.3%
8 1
 
4.3%
7 1
 
4.3%
. 1
 
4.3%
( 1
 
4.3%
i 1
 
4.3%
Other values (8) 8
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9
39.1%
Space Separator 4
17.4%
Decimal Number 4
17.4%
Other Punctuation 2
 
8.7%
Uppercase Letter 2
 
8.7%
Open Punctuation 1
 
4.3%
Close Punctuation 1
 
4.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
o 1
11.1%
i 1
11.1%
t 1
11.1%
a 1
11.1%
n 1
11.1%
r 1
11.1%
c 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
8 1
25.0%
7 1
25.0%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
. 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
R 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
52.2%
Latin 11
47.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2
18.2%
o 1
9.1%
i 1
9.1%
S 1
9.1%
t 1
9.1%
a 1
9.1%
R 1
9.1%
n 1
9.1%
r 1
9.1%
c 1
9.1%
Common
ValueCountFrequency (%)
4
33.3%
1 2
16.7%
: 1
 
8.3%
8 1
 
8.3%
7 1
 
8.3%
. 1
 
8.3%
( 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
17.4%
e 2
 
8.7%
1 2
 
8.7%
o 1
 
4.3%
: 1
 
4.3%
8 1
 
4.3%
7 1
 
4.3%
. 1
 
4.3%
( 1
 
4.3%
i 1
 
4.3%
Other values (8) 8
34.8%

색상
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Color
323 
<NA>
 
22
B&W
 
16
Black & White
 
8
Black&White
 
2

Length

Max length13
Median length5
Mean length5.0592992
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Color 323
87.1%
<NA> 22
 
5.9%
B&W 16
 
4.3%
Black & White 8
 
2.2%
Black&White 2
 
0.5%

Length

2023-12-11T14:03:38.468236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:38.688663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
color 323
83.5%
na 22
 
5.7%
b&w 16
 
4.1%
black 8
 
2.1%
8
 
2.1%
white 8
 
2.1%
black&white 2
 
0.5%

제작사국문
Text

MISSING 

Distinct102
Distinct (%)82.9%
Missing248
Missing (%)66.8%
Memory size3.0 KiB
2023-12-11T14:03:39.242949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length33
Mean length16.796748
Min length1

Characters and Unicode

Total characters2066
Distinct characters152
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)70.7%

Sample

1st row연필로 명상하기
2nd rowFilme de Papel
3rd rowAnimaking
4th rowPlymptoons
5th row㈜지금이 아니면 안돼
ValueCountFrequency (%)
film 13
 
4.2%
studio 12
 
3.9%
films 8
 
2.6%
of 7
 
2.3%
university 7
 
2.3%
animation 7
 
2.3%
and 6
 
2.0%
de 6
 
2.0%
ltd 4
 
1.3%
school 4
 
1.3%
Other values (187) 233
75.9%
2023-12-11T14:03:40.226887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
9.6%
i 140
 
6.8%
o 125
 
6.1%
e 97
 
4.7%
t 94
 
4.5%
n 88
 
4.3%
a 78
 
3.8%
l 72
 
3.5%
s 68
 
3.3%
r 62
 
3.0%
Other values (142) 1044
50.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1171
56.7%
Uppercase Letter 513
24.8%
Space Separator 198
 
9.6%
Other Letter 121
 
5.9%
Other Punctuation 25
 
1.2%
Decimal Number 9
 
0.4%
Dash Punctuation 7
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Symbol 4
 
0.2%
Other values (4) 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
4.1%
아 5
 
4.1%
국 4
 
3.3%
영 3
 
2.5%
한 3
 
2.5%
지 3
 
2.5%
터 3
 
2.5%
미 3
 
2.5%
엔 3
 
2.5%
화 3
 
2.5%
Other values (60) 86
71.1%
Lowercase Letter
ValueCountFrequency (%)
i 140
12.0%
o 125
10.7%
e 97
 
8.3%
t 94
 
8.0%
n 88
 
7.5%
a 78
 
6.7%
l 72
 
6.1%
s 68
 
5.8%
r 62
 
5.3%
u 62
 
5.3%
Other values (21) 285
24.3%
Uppercase Letter
ValueCountFrequency (%)
S 47
 
9.2%
A 44
 
8.6%
I 42
 
8.2%
L 41
 
8.0%
M 31
 
6.0%
E 31
 
6.0%
F 30
 
5.8%
T 27
 
5.3%
N 25
 
4.9%
C 24
 
4.7%
Other values (21) 171
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
22.2%
3 2
22.2%
1 2
22.2%
0 1
11.1%
8 1
11.1%
5 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 13
52.0%
, 4
 
16.0%
/ 3
 
12.0%
& 3
 
12.0%
" 2
 
8.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1680
81.3%
Common 257
 
12.4%
Hangul 119
 
5.8%
Han 6
 
0.3%
Cyrillic 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
4.2%
아 5
 
4.2%
㈜ 4
 
3.4%
국 4
 
3.4%
영 3
 
2.5%
한 3
 
2.5%
지 3
 
2.5%
터 3
 
2.5%
미 3
 
2.5%
엔 3
 
2.5%
Other values (55) 83
69.7%
Latin
ValueCountFrequency (%)
i 140
 
8.3%
o 125
 
7.4%
e 97
 
5.8%
t 94
 
5.6%
n 88
 
5.2%
a 78
 
4.6%
l 72
 
4.3%
s 68
 
4.0%
r 62
 
3.7%
u 62
 
3.7%
Other values (48) 794
47.3%
Common
ValueCountFrequency (%)
198
77.0%
. 13
 
5.1%
- 7
 
2.7%
) 5
 
1.9%
( 5
 
1.9%
, 4
 
1.6%
` 3
 
1.2%
/ 3
 
1.2%
& 3
 
1.2%
2 2
 
0.8%
Other values (9) 14
 
5.4%
Han
ValueCountFrequency (%)
創 1
16.7%
意 1
16.7%
兔 1
16.7%
影 1
16.7%
將 1
16.7%
業 1
16.7%
Cyrillic
ValueCountFrequency (%)
Й 1
25.0%
Ч 1
25.0%
И 1
25.0%
Б 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1927
93.3%
Hangul 115
 
5.6%
None 12
 
0.6%
CJK 6
 
0.3%
Cyrillic 4
 
0.2%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
 
10.3%
i 140
 
7.3%
o 125
 
6.5%
e 97
 
5.0%
t 94
 
4.9%
n 88
 
4.6%
a 78
 
4.0%
l 72
 
3.7%
s 68
 
3.5%
r 62
 
3.2%
Other values (60) 905
47.0%
Hangul
ValueCountFrequency (%)
이 5
 
4.3%
아 5
 
4.3%
국 4
 
3.5%
영 3
 
2.6%
한 3
 
2.6%
지 3
 
2.6%
터 3
 
2.6%
미 3
 
2.6%
엔 3
 
2.6%
화 3
 
2.6%
Other values (54) 80
69.6%
None
ValueCountFrequency (%)
㈜ 4
33.3%
é 3
25.0%
ç 1
 
8.3%
ã 1
 
8.3%
Ü 1
 
8.3%
ê 1
 
8.3%
à 1
 
8.3%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Cyrillic
ValueCountFrequency (%)
Й 1
25.0%
Ч 1
25.0%
И 1
25.0%
Б 1
25.0%
CJK
ValueCountFrequency (%)
創 1
16.7%
意 1
16.7%
兔 1
16.7%
影 1
16.7%
將 1
16.7%
業 1
16.7%

제작사영문
Text

MISSING 

Distinct82
Distinct (%)53.6%
Missing218
Missing (%)58.8%
Memory size3.0 KiB
2023-12-11T14:03:40.652336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length38
Mean length20.385621
Min length1

Characters and Unicode

Total characters3119
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)40.5%

Sample

1st rowMeditation with a pencil
2nd rowNow or Never
3rd row
4th row
5th row
ValueCountFrequency (%)
of 28
 
6.4%
studio 19
 
4.4%
arts 18
 
4.1%
university 15
 
3.4%
academy 10
 
2.3%
masterfilm 9
 
2.1%
the 9
 
2.1%
miniatur 8
 
1.8%
filmowych 8
 
1.8%
animation 8
 
1.8%
Other values (169) 303
69.7%
2023-12-11T14:03:41.224806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
334
 
10.7%
o 243
 
7.8%
i 236
 
7.6%
e 196
 
6.3%
a 169
 
5.4%
n 167
 
5.4%
t 151
 
4.8%
r 133
 
4.3%
l 114
 
3.7%
m 111
 
3.6%
Other values (60) 1265
40.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2248
72.1%
Uppercase Letter 452
 
14.5%
Space Separator 334
 
10.7%
Other Punctuation 57
 
1.8%
Dash Punctuation 21
 
0.7%
Open Punctuation 4
 
0.1%
Final Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 243
 
10.8%
i 236
 
10.5%
e 196
 
8.7%
a 169
 
7.5%
n 167
 
7.4%
t 151
 
6.7%
r 133
 
5.9%
l 114
 
5.1%
m 111
 
4.9%
s 87
 
3.9%
Other values (24) 641
28.5%
Uppercase Letter
ValueCountFrequency (%)
S 73
16.2%
A 60
13.3%
F 43
 
9.5%
M 34
 
7.5%
T 28
 
6.2%
C 26
 
5.8%
P 24
 
5.3%
I 17
 
3.8%
U 16
 
3.5%
K 13
 
2.9%
Other values (15) 118
26.1%
Other Punctuation
ValueCountFrequency (%)
. 37
64.9%
, 12
 
21.1%
& 6
 
10.5%
/ 1
 
1.8%
" 1
 
1.8%
Open Punctuation
ValueCountFrequency (%)
„ 3
75.0%
( 1
 
25.0%
Space Separator
ValueCountFrequency (%)
334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Final Punctuation
ValueCountFrequency (%)
” 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2700
86.6%
Common 419
 
13.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 243
 
9.0%
i 236
 
8.7%
e 196
 
7.3%
a 169
 
6.3%
n 167
 
6.2%
t 151
 
5.6%
r 133
 
4.9%
l 114
 
4.2%
m 111
 
4.1%
s 87
 
3.2%
Other values (49) 1093
40.5%
Common
ValueCountFrequency (%)
334
79.7%
. 37
 
8.8%
- 21
 
5.0%
, 12
 
2.9%
& 6
 
1.4%
„ 3
 
0.7%
” 2
 
0.5%
( 1
 
0.2%
/ 1
 
0.2%
" 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3089
99.0%
None 25
 
0.8%
Punctuation 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
334
 
10.8%
o 243
 
7.9%
i 236
 
7.6%
e 196
 
6.3%
a 169
 
5.5%
n 167
 
5.4%
t 151
 
4.9%
r 133
 
4.3%
l 114
 
3.7%
m 111
 
3.6%
Other values (48) 1235
40.0%
None
ValueCountFrequency (%)
ó 11
44.0%
ü 3
 
12.0%
Ł 3
 
12.0%
ń 2
 
8.0%
ę 1
 
4.0%
é 1
 
4.0%
ż 1
 
4.0%
ł 1
 
4.0%
ű 1
 
4.0%
ź 1
 
4.0%
Punctuation
ValueCountFrequency (%)
„ 3
60.0%
” 2
40.0%

배급사국문
Text

MISSING 

Distinct81
Distinct (%)65.3%
Missing247
Missing (%)66.6%
Memory size3.0 KiB
2023-12-11T14:03:41.720779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length31
Mean length15.33871
Min length1

Characters and Unicode

Total characters1902
Distinct characters154
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)53.2%

Sample

1st row이달투, 연필로 명상하기
2nd rowFox Film do Brasil Ltda.
3rd rowPlymptoons
4th row㈜인디플러그
5th rowElle Driver
ValueCountFrequency (%)
한국독립애니메이션협회 19
 
6.8%
씨앗 19
 
6.8%
film 14
 
5.0%
studio 8
 
2.9%
films 8
 
2.9%
bilder 4
 
1.4%
krakow 4
 
1.4%
foundation 4
 
1.4%
de 4
 
1.4%
of 4
 
1.4%
Other values (154) 191
68.5%
2023-12-11T14:03:42.528616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
8.8%
i 115
 
6.0%
o 98
 
5.2%
e 86
 
4.5%
n 75
 
3.9%
t 73
 
3.8%
a 62
 
3.3%
r 55
 
2.9%
u 55
 
2.9%
l 54
 
2.8%
Other values (144) 1061
55.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 945
49.7%
Other Letter 365
 
19.2%
Uppercase Letter 362
 
19.0%
Space Separator 168
 
8.8%
Other Punctuation 38
 
2.0%
Dash Punctuation 6
 
0.3%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Decimal Number 4
 
0.2%
Other Symbol 3
 
0.2%
Other values (2) 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 24
 
6.6%
국 23
 
6.3%
한 22
 
6.0%
애 19
 
5.2%
니 19
 
5.2%
씨 19
 
5.2%
회 19
 
5.2%
독 19
 
5.2%
협 19
 
5.2%
립 19
 
5.2%
Other values (65) 163
44.7%
Lowercase Letter
ValueCountFrequency (%)
i 115
12.2%
o 98
10.4%
e 86
 
9.1%
n 75
 
7.9%
t 73
 
7.7%
a 62
 
6.6%
r 55
 
5.8%
u 55
 
5.8%
l 54
 
5.7%
s 49
 
5.2%
Other values (21) 223
23.6%
Uppercase Letter
ValueCountFrequency (%)
L 35
 
9.7%
S 33
 
9.1%
F 33
 
9.1%
A 26
 
7.2%
I 25
 
6.9%
E 22
 
6.1%
C 21
 
5.8%
B 17
 
4.7%
T 17
 
4.7%
M 17
 
4.7%
Other values (21) 116
32.0%
Other Punctuation
ValueCountFrequency (%)
, 21
55.3%
. 8
 
21.1%
/ 3
 
7.9%
& 3
 
7.9%
" 2
 
5.3%
! 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
5 1
25.0%
3 1
25.0%
8 1
25.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1303
68.5%
Hangul 362
 
19.0%
Common 227
 
11.9%
Han 6
 
0.3%
Cyrillic 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 24
 
6.6%
국 23
 
6.4%
한 22
 
6.1%
애 19
 
5.2%
니 19
 
5.2%
씨 19
 
5.2%
회 19
 
5.2%
독 19
 
5.2%
협 19
 
5.2%
립 19
 
5.2%
Other values (60) 160
44.2%
Latin
ValueCountFrequency (%)
i 115
 
8.8%
o 98
 
7.5%
e 86
 
6.6%
n 75
 
5.8%
t 73
 
5.6%
a 62
 
4.8%
r 55
 
4.2%
u 55
 
4.2%
l 54
 
4.1%
s 49
 
3.8%
Other values (48) 581
44.6%
Common
ValueCountFrequency (%)
168
74.0%
, 21
 
9.3%
. 8
 
3.5%
- 6
 
2.6%
( 4
 
1.8%
) 4
 
1.8%
/ 3
 
1.3%
& 3
 
1.3%
" 2
 
0.9%
` 2
 
0.9%
Other values (6) 6
 
2.6%
Han
ValueCountFrequency (%)
業 1
16.7%
影 1
16.7%
意 1
16.7%
創 1
16.7%
將 1
16.7%
兔 1
16.7%
Cyrillic
ValueCountFrequency (%)
Б 1
25.0%
Ч 1
25.0%
И 1
25.0%
Й 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1522
80.0%
Hangul 359
 
18.9%
None 11
 
0.6%
CJK 6
 
0.3%
Cyrillic 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
 
11.0%
i 115
 
7.6%
o 98
 
6.4%
e 86
 
5.7%
n 75
 
4.9%
t 73
 
4.8%
a 62
 
4.1%
r 55
 
3.6%
u 55
 
3.6%
l 54
 
3.5%
Other values (58) 681
44.7%
Hangul
ValueCountFrequency (%)
이 24
 
6.7%
국 23
 
6.4%
한 22
 
6.1%
애 19
 
5.3%
니 19
 
5.3%
씨 19
 
5.3%
회 19
 
5.3%
독 19
 
5.3%
협 19
 
5.3%
립 19
 
5.3%
Other values (59) 157
43.7%
None
ValueCountFrequency (%)
é 3
27.3%
㈜ 3
27.3%
ç 1
 
9.1%
ã 1
 
9.1%
Ü 1
 
9.1%
ê 1
 
9.1%
à 1
 
9.1%
CJK
ValueCountFrequency (%)
業 1
16.7%
影 1
16.7%
意 1
16.7%
創 1
16.7%
將 1
16.7%
兔 1
16.7%
Cyrillic
ValueCountFrequency (%)
Б 1
25.0%
Ч 1
25.0%
И 1
25.0%
Й 1
25.0%

배급사영문
Text

MISSING 

Distinct66
Distinct (%)47.8%
Missing233
Missing (%)62.8%
Memory size3.0 KiB
2023-12-11T14:03:43.042569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length38
Mean length20.268116
Min length1

Characters and Unicode

Total characters2797
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)35.5%

Sample

1st rowIdaltu Film, Meditation with a pencil
2nd rowIndieplug
3rd rowKIAFA AniSEED
4th rowKIAFA AniSEED
5th rowINDIESTORY INC.
ValueCountFrequency (%)
kiafa 19
 
4.7%
aniseed 19
 
4.7%
of 19
 
4.7%
studio 15
 
3.7%
arts 13
 
3.2%
university 11
 
2.7%
masterfilm 10
 
2.5%
autour 9
 
2.2%
de 9
 
2.2%
minuit 9
 
2.2%
Other values (142) 273
67.2%
2023-12-11T14:03:43.729797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
 
10.4%
i 228
 
8.2%
o 182
 
6.5%
t 148
 
5.3%
e 144
 
5.1%
n 142
 
5.1%
a 141
 
5.0%
r 120
 
4.3%
A 107
 
3.8%
m 92
 
3.3%
Other values (58) 1201
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1863
66.6%
Uppercase Letter 571
 
20.4%
Space Separator 292
 
10.4%
Other Punctuation 48
 
1.7%
Dash Punctuation 16
 
0.6%
Open Punctuation 4
 
0.1%
Final Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 228
12.2%
o 182
 
9.8%
t 148
 
7.9%
e 144
 
7.7%
n 142
 
7.6%
a 141
 
7.6%
r 120
 
6.4%
m 92
 
4.9%
l 89
 
4.8%
u 87
 
4.7%
Other values (23) 490
26.3%
Uppercase Letter
ValueCountFrequency (%)
A 107
18.7%
S 67
11.7%
F 64
11.2%
E 48
8.4%
M 39
 
6.8%
I 38
 
6.7%
K 33
 
5.8%
T 25
 
4.4%
D 25
 
4.4%
P 21
 
3.7%
Other values (16) 104
18.2%
Other Punctuation
ValueCountFrequency (%)
. 36
75.0%
, 9
 
18.8%
" 1
 
2.1%
/ 1
 
2.1%
& 1
 
2.1%
Space Separator
ValueCountFrequency (%)
292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Open Punctuation
ValueCountFrequency (%)
„ 4
100.0%
Final Punctuation
ValueCountFrequency (%)
” 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2434
87.0%
Common 363
 
13.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 228
 
9.4%
o 182
 
7.5%
t 148
 
6.1%
e 144
 
5.9%
n 142
 
5.8%
a 141
 
5.8%
r 120
 
4.9%
A 107
 
4.4%
m 92
 
3.8%
l 89
 
3.7%
Other values (49) 1041
42.8%
Common
ValueCountFrequency (%)
292
80.4%
. 36
 
9.9%
- 16
 
4.4%
, 9
 
2.5%
„ 4
 
1.1%
” 3
 
0.8%
" 1
 
0.3%
/ 1
 
0.3%
& 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2768
99.0%
None 22
 
0.8%
Punctuation 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
 
10.5%
i 228
 
8.2%
o 182
 
6.6%
t 148
 
5.3%
e 144
 
5.2%
n 142
 
5.1%
a 141
 
5.1%
r 120
 
4.3%
A 107
 
3.9%
m 92
 
3.3%
Other values (46) 1172
42.3%
None
ValueCountFrequency (%)
ó 8
36.4%
ü 3
 
13.6%
Ł 3
 
13.6%
ń 2
 
9.1%
ź 1
 
4.5%
ż 1
 
4.5%
é 1
 
4.5%
ű 1
 
4.5%
ł 1
 
4.5%
ę 1
 
4.5%
Punctuation
ValueCountFrequency (%)
„ 4
57.1%
” 3
42.9%

감독국문1
Text

Distinct315
Distinct (%)85.1%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T14:03:44.258501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length43
Mean length8.4081081
Min length2

Characters and Unicode

Total characters3111
Distinct characters380
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)74.3%

Sample

1st row안재훈
2nd row알레 아브레유
3rd row파올로 콘티
4th row빌 플림튼
5th row장형윤
ValueCountFrequency (%)
이반 13
 
1.6%
막시모프 13
 
1.6%
토마스 6
 
0.7%
안나 6
 
0.7%
에바 4
 
0.5%
이토 4
 
0.5%
유이치 4
 
0.5%
게펜블레드 3
 
0.4%
슈미트 3
 
0.4%
피오트르 3
 
0.4%
Other values (648) 777
92.9%
2023-12-11T14:03:45.654475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
490
 
15.8%
스 108
 
3.5%
리 96
 
3.1%
이 87
 
2.8%
, 67
 
2.2%
아 61
 
2.0%
르 58
 
1.9%
마 56
 
1.8%
라 54
 
1.7%
로 48
 
1.5%
Other values (370) 1986
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2544
81.8%
Space Separator 490
 
15.8%
Other Punctuation 68
 
2.2%
Dash Punctuation 5
 
0.2%
Modifier Symbol 2
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 108
 
4.2%
리 96
 
3.8%
이 87
 
3.4%
아 61
 
2.4%
르 58
 
2.3%
마 56
 
2.2%
라 54
 
2.1%
로 48
 
1.9%
레 47
 
1.8%
나 45
 
1.8%
Other values (363) 1884
74.1%
Other Punctuation
ValueCountFrequency (%)
, 67
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2544
81.8%
Common 567
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 108
 
4.2%
리 96
 
3.8%
이 87
 
3.4%
아 61
 
2.4%
르 58
 
2.3%
마 56
 
2.2%
라 54
 
2.1%
로 48
 
1.9%
레 47
 
1.8%
나 45
 
1.8%
Other values (363) 1884
74.1%
Common
ValueCountFrequency (%)
490
86.4%
, 67
 
11.8%
- 5
 
0.9%
` 2
 
0.4%
. 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2544
81.8%
ASCII 567
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
490
86.4%
, 67
 
11.8%
- 5
 
0.9%
` 2
 
0.4%
. 1
 
0.2%
( 1
 
0.2%
) 1
 
0.2%
Hangul
ValueCountFrequency (%)
스 108
 
4.2%
리 96
 
3.8%
이 87
 
3.4%
아 61
 
2.4%
르 58
 
2.3%
마 56
 
2.2%
라 54
 
2.1%
로 48
 
1.9%
레 47
 
1.8%
나 45
 
1.8%
Other values (363) 1884
74.1%

감독영문1
Text

Distinct315
Distinct (%)85.1%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-11T14:03:46.126712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length83
Mean length16.52973
Min length6

Characters and Unicode

Total characters6116
Distinct characters86
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)74.3%

Sample

1st rowAHN Jae-Hun
2nd rowAlê ABREU
3rd rowPaolo CONTI
4th rowBill PLYMPTON
5th rowCHANG Hyung-Yun
ValueCountFrequency (%)
ivan 13
 
1.5%
maximov 13
 
1.5%
kim 10
 
1.1%
anna 6
 
0.7%
ahn 5
 
0.6%
david 5
 
0.6%
tomasz 4
 
0.4%
piotr 4
 
0.4%
de 4
 
0.4%
hong 4
 
0.4%
Other values (688) 825
92.4%
2023-12-11T14:03:46.788706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
575
 
9.4%
A 356
 
5.8%
a 320
 
5.2%
E 264
 
4.3%
i 236
 
3.9%
I 233
 
3.8%
n 232
 
3.8%
e 209
 
3.4%
O 196
 
3.2%
o 187
 
3.1%
Other values (76) 3308
54.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3278
53.6%
Lowercase Letter 2123
34.7%
Space Separator 575
 
9.4%
Other Punctuation 67
 
1.1%
Dash Punctuation 64
 
1.0%
Modifier Symbol 3
 
< 0.1%
Final Punctuation 2
 
< 0.1%
Currency Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 356
 
10.9%
E 264
 
8.1%
I 233
 
7.1%
O 196
 
6.0%
N 186
 
5.7%
R 185
 
5.6%
S 180
 
5.5%
M 176
 
5.4%
L 157
 
4.8%
H 138
 
4.2%
Other values (30) 1207
36.8%
Lowercase Letter
ValueCountFrequency (%)
a 320
15.1%
i 236
11.1%
n 232
10.9%
e 209
9.8%
o 187
8.8%
r 136
 
6.4%
l 103
 
4.9%
t 94
 
4.4%
u 84
 
4.0%
s 81
 
3.8%
Other values (26) 441
20.8%
Other Punctuation
ValueCountFrequency (%)
, 66
98.5%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
575
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Currency Symbol
ValueCountFrequency (%)
£ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̌ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5401
88.3%
Common 714
 
11.7%
Inherited 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 356
 
6.6%
a 320
 
5.9%
E 264
 
4.9%
i 236
 
4.4%
I 233
 
4.3%
n 232
 
4.3%
e 209
 
3.9%
O 196
 
3.6%
o 187
 
3.5%
N 186
 
3.4%
Other values (66) 2982
55.2%
Common
ValueCountFrequency (%)
575
80.5%
, 66
 
9.2%
- 64
 
9.0%
` 3
 
0.4%
’ 2
 
0.3%
£ 1
 
0.1%
& 1
 
0.1%
) 1
 
0.1%
( 1
 
0.1%
Inherited
ValueCountFrequency (%)
̌ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6064
99.1%
None 49
 
0.8%
Punctuation 2
 
< 0.1%
Diacriticals 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
575
 
9.5%
A 356
 
5.9%
a 320
 
5.3%
E 264
 
4.4%
i 236
 
3.9%
I 233
 
3.8%
n 232
 
3.8%
e 209
 
3.4%
O 196
 
3.2%
o 187
 
3.1%
Other values (49) 3256
53.7%
None
ValueCountFrequency (%)
Ń 10
20.4%
ł 4
 
8.2%
é 4
 
8.2%
É 3
 
6.1%
Ł 3
 
6.1%
ê 2
 
4.1%
Ä 2
 
4.1%
Ż 2
 
4.1%
Ó 2
 
4.1%
Á 2
 
4.1%
Other values (15) 15
30.6%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Diacriticals
ValueCountFrequency (%)
̌ 1
100.0%

약력국문1
Text

MISSING 

Distinct222
Distinct (%)80.1%
Missing94
Missing (%)25.3%
Memory size3.0 KiB
2023-12-11T14:03:47.176241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length410
Median length202
Mean length149.63899
Min length15

Characters and Unicode

Total characters41450
Distinct characters835
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)68.2%

Sample

1st row애니메이션 스튜디오 ‘연필로 명상하기’ 감독. 1994년 애니메이션을 시작하여 현재까지 애니메이션 감독으로 활발한 활동을 하고 있다. 단편 <히치콕의 어떤 하루>, <순수한 기쁨> 등으로 국내외 애니메이션 영화제에서 많은 주목을 받아왔으며, 2011년 발표한 첫 장편 애니메이션 <소중한 날의 꿈>은 안시국제애니메이션 페스티벌, 상하이 영화제 등 다수의 영화제에서 초청 상영되었다.
2nd row알레 아브레유는 1971년 3월 6일 상파울루에서 태어났다.열 세 살이 되던 해, 브라질 시청각 박물관에서 애니메이션 워크샵을 수강하면서 그의 첫 단편작, 〈코끼리 기억〉을 만들었다.소셜 커뮤니케이션을 전공하면서 〈시리우스〉(1993)와 〈허수아비〉(1998)를 제작했고 그의 최근작 중 하나인 〈Step〉(2007)은 세계 유수의 애니메이션 영화제에 초청을 받았다.현재 알레 아브루는 삽화 작업과 함께 애니메이션 시리즈 개발에 힘쓰고 있다.
3rd row파올로 콘티는 브라질에서 1977년에 태어났다.1998년부터 산업 디자인을 공부했고, 대학 1학년 때 셀 애니메이션의 연습생을 시작으로 여러 스튜디오에서 보조를 담당했다.1997년, 마침내 프리랜서가 되기로 결심한 그는 스톱모션 애니메이션 작품을 제작했다.일 년 후부터, 애니메이터이자 감독으로서의 커리어를 쌓아나가기 시작했으며, 2002년에 애니메이킹을 설립했다.
4th row플림톤은 인디 애니메이션의 왕으로 추앙받는다.장편 애니메이션 전체를 손으로 그려낸 유일한 사람이라는 사실이 이를 뒷받침한다.그가 만든 10편의 장편 중 7편이 애니메이션 작품이며 오스카 후보에 두 번 오른 적이 있다.
5th row장형윤은 〈어쩌면 나는 장님인지도 모른다〉로 감독 데뷔, 이후 〈편지〉, 〈그 여자네 집〉, 〈아빠가 필요해〉 등 다양한 단편 애니메이션을 제작하였고, 2007년 제작한 〈무림일검의 사생활〉로 서울국제만화애니메이션 페스티벌, 미쟝센단편영화제, 부천판타스틱영화제 등 많은 영화제 초청 및 수상으로 관객과 평단의 극찬을 받았다.5년 동안 제작한 첫 장편 애니메이션인 〈우리별 일호와 얼룩소〉는 2014년 2월 20일 전국 개봉하였으며, 현재 새로운 장편 애니메이션 준비에 한창이다.
ValueCountFrequency (%)
애니메이션 211
 
2.7%
있다 107
 
1.4%
애니메이션을 58
 
0.7%
단편 58
 
0.7%
영화제에서 49
 
0.6%
및 48
 
0.6%
영화 45
 
0.6%
태어나 42
 
0.5%
여러 41
 
0.5%
후 38
 
0.5%
Other values (3814) 7193
91.2%
2023-12-11T14:03:47.985089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7643
 
18.4%
이 1093
 
2.6%
다 906
 
2.2%
. 799
 
1.9%
에 778
 
1.9%
니 508
 
1.2%
서 488
 
1.2%
, 485
 
1.2%
로 479
 
1.2%
년 464
 
1.1%
Other values (825) 27807
67.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28645
69.1%
Space Separator 7643
 
18.4%
Decimal Number 2075
 
5.0%
Other Punctuation 1309
 
3.2%
Lowercase Letter 557
 
1.3%
Uppercase Letter 441
 
1.1%
Open Punctuation 300
 
0.7%
Close Punctuation 300
 
0.7%
Math Symbol 90
 
0.2%
Final Punctuation 35
 
0.1%
Other values (5) 55
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1093
 
3.8%
다 906
 
3.2%
에 778
 
2.7%
니 508
 
1.8%
서 488
 
1.7%
로 479
 
1.7%
년 464
 
1.6%
을 452
 
1.6%
는 449
 
1.6%
메 447
 
1.6%
Other values (743) 22581
78.8%
Uppercase Letter
ValueCountFrequency (%)
T 57
12.9%
A 43
 
9.8%
V 35
 
7.9%
K 34
 
7.7%
I 31
 
7.0%
M 29
 
6.6%
O 28
 
6.3%
C 26
 
5.9%
P 24
 
5.4%
R 18
 
4.1%
Other values (15) 116
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 61
11.0%
o 59
10.6%
i 51
 
9.2%
t 49
 
8.8%
a 49
 
8.8%
r 37
 
6.6%
n 34
 
6.1%
l 30
 
5.4%
s 30
 
5.4%
d 25
 
4.5%
Other values (13) 132
23.7%
Decimal Number
ValueCountFrequency (%)
1 438
21.1%
0 422
20.3%
9 379
18.3%
2 329
15.9%
8 148
 
7.1%
3 89
 
4.3%
5 76
 
3.7%
7 71
 
3.4%
6 65
 
3.1%
4 58
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 799
61.0%
, 485
37.1%
/ 13
 
1.0%
! 4
 
0.3%
: 3
 
0.2%
& 2
 
0.2%
? 2
 
0.2%
• 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
〈 217
72.3%
( 83
 
27.7%
Close Punctuation
ValueCountFrequency (%)
〉 217
72.3%
) 83
 
27.7%
Math Symbol
ValueCountFrequency (%)
> 45
50.0%
< 45
50.0%
Final Punctuation
ValueCountFrequency (%)
’ 30
85.7%
” 5
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 27
84.4%
“ 5
 
15.6%
Dash Punctuation
ValueCountFrequency (%)
- 8
61.5%
― 5
38.5%
Space Separator
ValueCountFrequency (%)
7643
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28650
69.1%
Common 11802
28.5%
Latin 998
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1093
 
3.8%
다 906
 
3.2%
에 778
 
2.7%
니 508
 
1.8%
서 488
 
1.7%
로 479
 
1.7%
년 464
 
1.6%
을 452
 
1.6%
는 449
 
1.6%
메 447
 
1.6%
Other values (744) 22586
78.8%
Latin
ValueCountFrequency (%)
e 61
 
6.1%
o 59
 
5.9%
T 57
 
5.7%
i 51
 
5.1%
t 49
 
4.9%
a 49
 
4.9%
A 43
 
4.3%
r 37
 
3.7%
V 35
 
3.5%
n 34
 
3.4%
Other values (38) 523
52.4%
Common
ValueCountFrequency (%)
7643
64.8%
. 799
 
6.8%
, 485
 
4.1%
1 438
 
3.7%
0 422
 
3.6%
9 379
 
3.2%
2 329
 
2.8%
〈 217
 
1.8%
〉 217
 
1.8%
8 148
 
1.3%
Other values (23) 725
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28645
69.1%
ASCII 12293
29.7%
None 439
 
1.1%
Punctuation 73
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7643
62.2%
. 799
 
6.5%
, 485
 
3.9%
1 438
 
3.6%
0 422
 
3.4%
9 379
 
3.1%
2 329
 
2.7%
8 148
 
1.2%
3 89
 
0.7%
( 83
 
0.7%
Other values (63) 1478
 
12.0%
Hangul
ValueCountFrequency (%)
이 1093
 
3.8%
다 906
 
3.2%
에 778
 
2.7%
니 508
 
1.8%
서 488
 
1.7%
로 479
 
1.7%
년 464
 
1.6%
을 452
 
1.6%
는 449
 
1.6%
메 447
 
1.6%
Other values (743) 22581
78.8%
None
ValueCountFrequency (%)
〈 217
49.4%
〉 217
49.4%
㈜ 5
 
1.1%
Punctuation
ValueCountFrequency (%)
’ 30
41.1%
‘ 27
37.0%
“ 5
 
6.8%
” 5
 
6.8%
― 5
 
6.8%
• 1
 
1.4%

약력영문1
Text

MISSING 

Distinct223
Distinct (%)80.5%
Missing94
Missing (%)25.3%
Memory size3.0 KiB
2023-12-11T14:03:48.577132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length908
Median length399
Mean length319.62455
Min length31

Characters and Unicode

Total characters88536
Distinct characters120
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)69.0%

Sample

1st rowAHN Jae-Hun is the director of Studio Mediation with a Pencil. Since he started his animation career in 1994, he has been one of the vital and versatile animation directors. His films including <One Day of Hitchcock> and <Innocent Joy> have attracted attention in domestic and international film festivals. In 2011, He released his first feature <Green Days - Dinosaur & I>, which was invited to various festivals including Anncey International Animated Film Festival and Shanghai International Film Festival.
2nd rowAlê ABREU was born in São Paulo in March 6, 1971.At the age of 13, he signed in the workshop of animation at the Brazilian Museum of Image and Sound, where he made his first short, entitled 〈Elephant Memory〉.Majoring in Social Communication, he made short films such as 〈Sirius〉(1993), and 〈Scarecrow〉(1998).One of his recent shorts, 〈Step〉(2007), participated in the most famous animation festivals in the world.Currently he works on book illustration, and develops an animated series.
3rd rowPaolo CONTI was born in 1977, Brazil.He majored in Industrial Design from the year of 1998.In his first year at college, he started working as a trainee in cell animation and served as an assistant at many studios.In 1997, he decided to be a freelancer and worked on several stop motion animations.A year later, he finally started his career as both an animator and a director.In 2002 he founded Animaking.
4th rowBill PLYMPTON is considered the king of indie animation.It is supported by the fact that he is the only person to hand-draw an entire feature film.He has made 10 feature films and 7 of them are animated.He has been nominated for the Oscar twice.
5th rowCHANG Hyung-Yun made his directorial debut with a film, 〈Maybe I’m Blind〉 and since then, has directed various short animations such as 〈The Letter〉, 〈At Her House〉 and 〈Wolf Daddy〉.〈A Coffee Vending Machine and its Sword〉 that he directed in 2007 was invited and awarded by a number of film festivals including SICAF and PIFAN and received rave reviews from both audiences and critics.His first feature, 〈The Satellite Girl and Milk Cow〉 was released in theaters nationwide on February 20, 2014 and he is currently working on his next feature animation.
ValueCountFrequency (%)
in 698
 
5.0%
and 642
 
4.6%
the 622
 
4.5%
of 514
 
3.7%
animation 257
 
1.9%
at 248
 
1.8%
film 241
 
1.7%
a 239
 
1.7%
was 180
 
1.3%
is 180
 
1.3%
Other values (2962) 10067
72.5%
2023-12-11T14:03:49.380589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13637
15.4%
e 7018
 
7.9%
a 6162
 
7.0%
i 6162
 
7.0%
n 5825
 
6.6%
t 5383
 
6.1%
o 4691
 
5.3%
r 4413
 
5.0%
s 3951
 
4.5%
d 2977
 
3.4%
Other values (110) 28317
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 63917
72.2%
Space Separator 13637
 
15.4%
Uppercase Letter 6289
 
7.1%
Decimal Number 1998
 
2.3%
Other Punctuation 1691
 
1.9%
Close Punctuation 304
 
0.3%
Open Punctuation 304
 
0.3%
Dash Punctuation 172
 
0.2%
Math Symbol 93
 
0.1%
Final Punctuation 66
 
0.1%
Other values (4) 65
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7018
11.0%
a 6162
9.6%
i 6162
9.6%
n 5825
 
9.1%
t 5383
 
8.4%
o 4691
 
7.3%
r 4413
 
6.9%
s 3951
 
6.2%
d 2977
 
4.7%
h 2541
 
4.0%
Other values (33) 14794
23.1%
Uppercase Letter
ValueCountFrequency (%)
A 772
 
12.3%
S 533
 
8.5%
I 438
 
7.0%
H 411
 
6.5%
F 358
 
5.7%
C 342
 
5.4%
T 325
 
5.2%
M 281
 
4.5%
K 256
 
4.1%
E 229
 
3.6%
Other values (29) 2344
37.3%
Decimal Number
ValueCountFrequency (%)
1 419
21.0%
0 411
20.6%
9 351
17.6%
2 320
16.0%
8 149
 
7.5%
3 88
 
4.4%
5 71
 
3.6%
7 70
 
3.5%
6 62
 
3.1%
4 57
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 893
52.8%
, 735
43.5%
& 16
 
0.9%
/ 14
 
0.8%
" 14
 
0.8%
! 10
 
0.6%
: 5
 
0.3%
? 2
 
0.1%
; 2
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 51
77.3%
” 14
 
21.2%
» 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
< 46
49.5%
> 46
49.5%
+ 1
 
1.1%
Initial Punctuation
ValueCountFrequency (%)
“ 18
90.0%
‘ 1
 
5.0%
« 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
〉 214
70.4%
) 90
29.6%
Open Punctuation
ValueCountFrequency (%)
〈 214
70.4%
( 90
29.6%
Dash Punctuation
ValueCountFrequency (%)
- 166
96.5%
– 6
 
3.5%
Space Separator
ValueCountFrequency (%)
13637
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 40
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̌ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 70206
79.3%
Common 18329
 
20.7%
Inherited 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7018
 
10.0%
a 6162
 
8.8%
i 6162
 
8.8%
n 5825
 
8.3%
t 5383
 
7.7%
o 4691
 
6.7%
r 4413
 
6.3%
s 3951
 
5.6%
d 2977
 
4.2%
h 2541
 
3.6%
Other values (72) 21083
30.0%
Common
ValueCountFrequency (%)
13637
74.4%
. 893
 
4.9%
, 735
 
4.0%
1 419
 
2.3%
0 411
 
2.2%
9 351
 
1.9%
2 320
 
1.7%
〉 214
 
1.2%
〈 214
 
1.2%
- 166
 
0.9%
Other values (27) 969
 
5.3%
Inherited
ValueCountFrequency (%)
̌ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87866
99.2%
None 579
 
0.7%
Punctuation 90
 
0.1%
Diacriticals 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13637
15.5%
e 7018
 
8.0%
a 6162
 
7.0%
i 6162
 
7.0%
n 5825
 
6.6%
t 5383
 
6.1%
o 4691
 
5.3%
r 4413
 
5.0%
s 3951
 
4.5%
d 2977
 
3.4%
Other values (70) 27647
31.5%
None
ValueCountFrequency (%)
〉 214
37.0%
〈 214
37.0%
Ł 25
 
4.3%
ó 21
 
3.6%
ź 19
 
3.3%
é 15
 
2.6%
Ń 14
 
2.4%
è 7
 
1.2%
ń 7
 
1.2%
ü 6
 
1.0%
Other values (24) 37
 
6.4%
Punctuation
ValueCountFrequency (%)
’ 51
56.7%
“ 18
 
20.0%
” 14
 
15.6%
– 6
 
6.7%
‘ 1
 
1.1%
Diacriticals
ValueCountFrequency (%)
̌ 1
100.0%

감독국문2
Text

MISSING 

Distinct32
Distinct (%)84.2%
Missing333
Missing (%)89.8%
Memory size3.0 KiB
2023-12-11T14:03:49.766550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.7105263
Min length3

Characters and Unicode

Total characters255
Distinct characters107
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)71.1%

Sample

1st row한혜진
2nd row신동진
3rd row마츠무라 코헤이
4th row톰 오고마
5th row브노아 기욤
ValueCountFrequency (%)
우지 3
 
4.2%
게펜블레드 3
 
4.2%
클라우디아 2
 
2.8%
마츠무라 2
 
2.8%
로슬린 2
 
2.8%
코헤이 2
 
2.8%
로익 2
 
2.8%
신동진 2
 
2.8%
한혜진 2
 
2.8%
라가지 1
 
1.4%
Other values (50) 50
70.4%
2023-12-11T14:03:50.325369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
13.7%
라 9
 
3.5%
마 9
 
3.5%
이 8
 
3.1%
리 7
 
2.7%
로 7
 
2.7%
아 7
 
2.7%
우 7
 
2.7%
드 6
 
2.4%
레 6
 
2.4%
Other values (97) 154
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
86.3%
Space Separator 35
 
13.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 9
 
4.1%
마 9
 
4.1%
이 8
 
3.6%
리 7
 
3.2%
로 7
 
3.2%
아 7
 
3.2%
우 7
 
3.2%
드 6
 
2.7%
레 6
 
2.7%
스 6
 
2.7%
Other values (96) 148
67.3%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
86.3%
Common 35
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 9
 
4.1%
마 9
 
4.1%
이 8
 
3.6%
리 7
 
3.2%
로 7
 
3.2%
아 7
 
3.2%
우 7
 
3.2%
드 6
 
2.7%
레 6
 
2.7%
스 6
 
2.7%
Other values (96) 148
67.3%
Common
ValueCountFrequency (%)
35
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
86.3%
ASCII 35
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
100.0%
Hangul
ValueCountFrequency (%)
라 9
 
4.1%
마 9
 
4.1%
이 8
 
3.6%
리 7
 
3.2%
로 7
 
3.2%
아 7
 
3.2%
우 7
 
3.2%
드 6
 
2.7%
레 6
 
2.7%
스 6
 
2.7%
Other values (96) 148
67.3%

감독영문2
Text

MISSING 

Distinct32
Distinct (%)84.2%
Missing333
Missing (%)89.8%
Memory size3.0 KiB
2023-12-11T14:03:50.692641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17.5
Mean length13.842105
Min length6

Characters and Unicode

Total characters526
Distinct characters50
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)71.1%

Sample

1st rowHAN Hye-Jin
2nd rowSHIN Dong-Jin
3rd rowKohei MATSUMURA
4th rowTom HAUGOMAT
5th rowBenoît GUILLAAUME
ValueCountFrequency (%)
uzi 3
 
3.8%
geffenblad 3
 
3.8%
claudia 2
 
2.6%
roethlin 2
 
2.6%
han 2
 
2.6%
hye-jin 2
 
2.6%
shin 2
 
2.6%
dong-jin 2
 
2.6%
kohei 2
 
2.6%
matsumura 2
 
2.6%
Other values (56) 56
71.8%
2023-12-11T14:03:51.296316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
8.0%
A 30
 
5.7%
i 27
 
5.1%
E 26
 
4.9%
N 25
 
4.8%
R 21
 
4.0%
e 20
 
3.8%
a 20
 
3.8%
o 19
 
3.6%
n 18
 
3.4%
Other values (40) 278
52.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 302
57.4%
Lowercase Letter 174
33.1%
Space Separator 42
 
8.0%
Dash Punctuation 7
 
1.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 27
15.5%
e 20
11.5%
a 20
11.5%
o 19
10.9%
n 18
10.3%
l 9
 
5.2%
r 9
 
5.2%
t 7
 
4.0%
m 5
 
2.9%
s 5
 
2.9%
Other values (14) 35
20.1%
Uppercase Letter
ValueCountFrequency (%)
A 30
 
9.9%
E 26
 
8.6%
N 25
 
8.3%
R 21
 
7.0%
L 17
 
5.6%
I 16
 
5.3%
U 15
 
5.0%
H 15
 
5.0%
S 14
 
4.6%
D 14
 
4.6%
Other values (13) 109
36.1%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 476
90.5%
Common 50
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 30
 
6.3%
i 27
 
5.7%
E 26
 
5.5%
N 25
 
5.3%
R 21
 
4.4%
e 20
 
4.2%
a 20
 
4.2%
o 19
 
4.0%
n 18
 
3.8%
L 17
 
3.6%
Other values (37) 253
53.2%
Common
ValueCountFrequency (%)
42
84.0%
- 7
 
14.0%
. 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 522
99.2%
None 4
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
 
8.0%
A 30
 
5.7%
i 27
 
5.2%
E 26
 
5.0%
N 25
 
4.8%
R 21
 
4.0%
e 20
 
3.8%
a 20
 
3.8%
o 19
 
3.6%
n 18
 
3.4%
Other values (36) 274
52.5%
None
ValueCountFrequency (%)
é 1
25.0%
î 1
25.0%
ï 1
25.0%
è 1
25.0%

약력국문2
Text

MISSING 

Distinct31
Distinct (%)81.6%
Missing333
Missing (%)89.8%
Memory size3.0 KiB
2023-12-11T14:03:51.737736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length262
Median length129.5
Mean length102.36842
Min length15

Characters and Unicode

Total characters3890
Distinct characters406
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)73.7%

Sample

1st row애니메이션 스튜디오 ‘연필로 명상하기’ 감독. 1997년 부터 <히치콕의 어떤 하루>, <리플레이>, <순수한 기쁨> 등의 단편 작품을 비롯하여 OVA <관운>, <미안하다 사랑하다>, TV 시리즈 <모험왕 장보고>, <겨울연가> 등의 작품 제작에 참여 하였다.
2nd row 신동진은 현재 한국예술종합학교에 재학중이다.
3rd row마츠무라 코헤이는 1980년 일본 오사카에서 태어났다.2005년 캐논 뉴 코스모스 사진전에서 우수상을 받았다.
4th row톰 오고마는 2007년 첫 단편을 제작한 이후, 애니메이션, TV 시리즈와 광고를 포함한 다양한 작품을 만들어 왔다. 그의 대표작으로는 <어디있니 플루팔루야?>, <클라우스> 등이 있다.
5th row브노아 기욤은 1976년 프랑스에서 태어났다.학교를 마친 뒤 스튜디오에서 그래픽 디자이너, 일러스트레이터로 일하기 시작했다.지금은 프리랜서로서 여러 책을 작업하고 있다.그가 만든 영화로 〈가는 담배〉(2013), 〈위험한 머리카락〉(2007), 〈벌거벗은 태아〉(2012)가 있다.
ValueCountFrequency (%)
애니메이션 22
 
2.9%
있다 10
 
1.3%
단편 7
 
0.9%
제작에 7
 
0.9%
여러 7
 
0.9%
애니메이션을 6
 
0.8%
제작한 5
 
0.7%
이들은 5
 
0.7%
학생들이다 5
 
0.7%
수핀포콤의 5
 
0.7%
Other values (512) 679
89.6%
2023-12-11T14:03:52.405977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
728
 
18.7%
이 106
 
2.7%
다 87
 
2.2%
. 82
 
2.1%
에 79
 
2.0%
서 59
 
1.5%
하 58
 
1.5%
스 57
 
1.5%
, 49
 
1.3%
학 48
 
1.2%
Other values (396) 2537
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2720
69.9%
Space Separator 728
 
18.7%
Decimal Number 182
 
4.7%
Other Punctuation 132
 
3.4%
Uppercase Letter 34
 
0.9%
Close Punctuation 28
 
0.7%
Open Punctuation 28
 
0.7%
Math Symbol 18
 
0.5%
Lowercase Letter 6
 
0.2%
Initial Punctuation 5
 
0.1%
Other values (3) 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 106
 
3.9%
다 87
 
3.2%
에 79
 
2.9%
서 59
 
2.2%
하 58
 
2.1%
스 57
 
2.1%
학 48
 
1.8%
니 47
 
1.7%
을 47
 
1.7%
로 47
 
1.7%
Other values (355) 2085
76.7%
Uppercase Letter
ValueCountFrequency (%)
V 7
20.6%
A 6
17.6%
T 5
14.7%
D 4
11.8%
O 2
 
5.9%
F 2
 
5.9%
E 2
 
5.9%
M 1
 
2.9%
C 1
 
2.9%
H 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
0 39
21.4%
1 36
19.8%
9 32
17.6%
2 29
15.9%
7 12
 
6.6%
3 11
 
6.0%
4 8
 
4.4%
8 6
 
3.3%
6 6
 
3.3%
5 3
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 82
62.1%
, 49
37.1%
? 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
m 2
33.3%
i 2
33.3%
Close Punctuation
ValueCountFrequency (%)
〉 22
78.6%
) 6
 
21.4%
Open Punctuation
ValueCountFrequency (%)
〈 22
78.6%
( 6
 
21.4%
Math Symbol
ValueCountFrequency (%)
< 9
50.0%
> 9
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
50.0%
– 1
50.0%
Space Separator
ValueCountFrequency (%)
728
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 5
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2720
69.9%
Common 1130
29.0%
Latin 40
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 106
 
3.9%
다 87
 
3.2%
에 79
 
2.9%
서 59
 
2.2%
하 58
 
2.1%
스 57
 
2.1%
학 48
 
1.8%
니 47
 
1.7%
을 47
 
1.7%
로 47
 
1.7%
Other values (355) 2085
76.7%
Common
ValueCountFrequency (%)
728
64.4%
. 82
 
7.3%
, 49
 
4.3%
0 39
 
3.5%
1 36
 
3.2%
9 32
 
2.8%
2 29
 
2.6%
〉 22
 
1.9%
〈 22
 
1.9%
7 12
 
1.1%
Other values (15) 79
 
7.0%
Latin
ValueCountFrequency (%)
V 7
17.5%
A 6
15.0%
T 5
12.5%
D 4
10.0%
O 2
 
5.0%
l 2
 
5.0%
m 2
 
5.0%
F 2
 
5.0%
E 2
 
5.0%
i 2
 
5.0%
Other values (6) 6
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2720
69.9%
ASCII 1115
28.7%
None 44
 
1.1%
Punctuation 11
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
728
65.3%
. 82
 
7.4%
, 49
 
4.4%
0 39
 
3.5%
1 36
 
3.2%
9 32
 
2.9%
2 29
 
2.6%
7 12
 
1.1%
3 11
 
1.0%
< 9
 
0.8%
Other values (26) 88
 
7.9%
Hangul
ValueCountFrequency (%)
이 106
 
3.9%
다 87
 
3.2%
에 79
 
2.9%
서 59
 
2.2%
하 58
 
2.1%
스 57
 
2.1%
학 48
 
1.8%
니 47
 
1.7%
을 47
 
1.7%
로 47
 
1.7%
Other values (355) 2085
76.7%
None
ValueCountFrequency (%)
〉 22
50.0%
〈 22
50.0%
Punctuation
ValueCountFrequency (%)
‘ 5
45.5%
’ 5
45.5%
– 1
 
9.1%

약력영문2
Text

MISSING 

Distinct30
Distinct (%)78.9%
Missing333
Missing (%)89.8%
Memory size3.0 KiB
2023-12-11T14:03:52.955702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length593
Median length267
Mean length216.68421
Min length31

Characters and Unicode

Total characters8234
Distinct characters84
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)68.4%

Sample

1st rowHAN Hye-Jin is the director of Studio Mediation with a Pencil. She started her animation career in 1997 and her filmography includes: short films <One Day of Hitchcock>, <Replay> and <Innocent Joy>, OVA <Kwan & Woon`s Story> and <I`m Sorry I Love You> and TV series <Adventurer King Jangbogo> and <Winter Sonata>.
2nd rowSHIN Dong-Jin is currently enrolled at Korea National University of Arts.
3rd rowKohei MATSUMURA was born in 1980, Osaka, Japan.In 2005, he got the Excellence Award at Canon New Cosmos of Photography.
4th row Tom HAUGOMAT made his first short film in 2007 and since then he has directed various animations, TV series and advertisement as well. His works include, 〈Floopaloo where are you?〉, 〈Klaus〉 etc.
5th row Benoît GUILLAAUME was born in 1976, France.After school years he began working as a graphic designer, and an illustrator in some studios.He is now, as a freelancer, working on different books.His films include 〈Cigarillos〉(2003), 〈Cheveux dangereux〉(2007) and 〈Naked Unborn Child〉(2012)
ValueCountFrequency (%)
and 71
 
5.5%
in 64
 
5.0%
the 44
 
3.4%
of 37
 
2.9%
at 32
 
2.5%
a 25
 
1.9%
animation 22
 
1.7%
he 21
 
1.6%
is 21
 
1.6%
as 18
 
1.4%
Other values (508) 937
72.5%
2023-12-11T14:03:53.776735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1262
15.3%
e 613
 
7.4%
a 579
 
7.0%
i 554
 
6.7%
n 549
 
6.7%
t 444
 
5.4%
o 440
 
5.3%
r 412
 
5.0%
s 365
 
4.4%
d 286
 
3.5%
Other values (74) 2730
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5865
71.2%
Space Separator 1262
 
15.3%
Uppercase Letter 598
 
7.3%
Decimal Number 207
 
2.5%
Other Punctuation 171
 
2.1%
Open Punctuation 38
 
0.5%
Close Punctuation 38
 
0.5%
Dash Punctuation 22
 
0.3%
Math Symbol 14
 
0.2%
Modifier Symbol 8
 
0.1%
Other values (3) 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 613
10.5%
a 579
9.9%
i 554
 
9.4%
n 549
 
9.4%
t 444
 
7.6%
o 440
 
7.5%
r 412
 
7.0%
s 365
 
6.2%
d 286
 
4.9%
h 228
 
3.9%
Other values (20) 1395
23.8%
Uppercase Letter
ValueCountFrequency (%)
A 81
 
13.5%
S 62
 
10.4%
T 35
 
5.9%
I 33
 
5.5%
H 33
 
5.5%
R 29
 
4.8%
F 27
 
4.5%
C 27
 
4.5%
N 26
 
4.3%
E 26
 
4.3%
Other values (14) 219
36.6%
Decimal Number
ValueCountFrequency (%)
0 47
22.7%
1 41
19.8%
9 38
18.4%
2 32
15.5%
7 12
 
5.8%
3 11
 
5.3%
8 9
 
4.3%
4 8
 
3.9%
6 6
 
2.9%
5 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 86
50.3%
, 74
43.3%
" 4
 
2.3%
: 4
 
2.3%
& 2
 
1.2%
? 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
〈 26
68.4%
( 12
31.6%
Close Punctuation
ValueCountFrequency (%)
〉 26
68.4%
) 12
31.6%
Math Symbol
ValueCountFrequency (%)
> 7
50.0%
< 7
50.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
60.0%
” 2
40.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
66.7%
‘ 1
33.3%
Space Separator
ValueCountFrequency (%)
1262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 8
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6463
78.5%
Common 1771
 
21.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 613
 
9.5%
a 579
 
9.0%
i 554
 
8.6%
n 549
 
8.5%
t 444
 
6.9%
o 440
 
6.8%
r 412
 
6.4%
s 365
 
5.6%
d 286
 
4.4%
h 228
 
3.5%
Other values (44) 1993
30.8%
Common
ValueCountFrequency (%)
1262
71.3%
. 86
 
4.9%
, 74
 
4.2%
0 47
 
2.7%
1 41
 
2.3%
9 38
 
2.1%
2 32
 
1.8%
〈 26
 
1.5%
〉 26
 
1.5%
- 22
 
1.2%
Other values (20) 117
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8166
99.2%
None 60
 
0.7%
Punctuation 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1262
15.5%
e 613
 
7.5%
a 579
 
7.1%
i 554
 
6.8%
n 549
 
6.7%
t 444
 
5.4%
o 440
 
5.4%
r 412
 
5.0%
s 365
 
4.5%
d 286
 
3.5%
Other values (64) 2662
32.6%
None
ValueCountFrequency (%)
〈 26
43.3%
〉 26
43.3%
é 3
 
5.0%
ü 3
 
5.0%
è 1
 
1.7%
î 1
 
1.7%
Punctuation
ValueCountFrequency (%)
’ 3
37.5%
“ 2
25.0%
” 2
25.0%
‘ 1
 
12.5%

감독국문3
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing363
Missing (%)97.8%
Memory size3.0 KiB
2023-12-11T14:03:54.084235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.625
Min length5

Characters and Unicode

Total characters53
Distinct characters35
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row로망 마즈네
2nd row마이클 라비노비치
3rd row알리제 꼴라
4th row줄리앙 주드
5th row안느 라바디
ValueCountFrequency (%)
로망 1
 
6.2%
마즈네 1
 
6.2%
마이클 1
 
6.2%
라비노비치 1
 
6.2%
알리제 1
 
6.2%
꼴라 1
 
6.2%
줄리앙 1
 
6.2%
주드 1
 
6.2%
안느 1
 
6.2%
라바디 1
 
6.2%
Other values (6) 6
37.5%
2023-12-11T14:03:54.619705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
17.0%
라 6
 
11.3%
리 3
 
5.7%
노 2
 
3.8%
마 2
 
3.8%
비 2
 
3.8%
퐁 1
 
1.9%
디 1
 
1.9%
졸 1
 
1.9%
니 1
 
1.9%
Other values (25) 25
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
83.0%
Space Separator 9
 
17.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 6
 
13.6%
리 3
 
6.8%
노 2
 
4.5%
마 2
 
4.5%
비 2
 
4.5%
퐁 1
 
2.3%
디 1
 
2.3%
졸 1
 
2.3%
니 1
 
2.3%
콜 1
 
2.3%
Other values (24) 24
54.5%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44
83.0%
Common 9
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 6
 
13.6%
리 3
 
6.8%
노 2
 
4.5%
마 2
 
4.5%
비 2
 
4.5%
퐁 1
 
2.3%
디 1
 
2.3%
졸 1
 
2.3%
니 1
 
2.3%
콜 1
 
2.3%
Other values (24) 24
54.5%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44
83.0%
ASCII 9
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
라 6
 
13.6%
리 3
 
6.8%
노 2
 
4.5%
마 2
 
4.5%
비 2
 
4.5%
퐁 1
 
2.3%
디 1
 
2.3%
졸 1
 
2.3%
니 1
 
2.3%
콜 1
 
2.3%
Other values (24) 24
54.5%

감독영문3
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing363
Missing (%)97.8%
Memory size3.0 KiB
2023-12-11T14:03:54.886432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14.5
Mean length13.625
Min length11

Characters and Unicode

Total characters109
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowRomain MAZENET
2nd rowMichal RABINOVITCH
3rd rowAlizée CHOLAT
4th rowJulien JUDE
5th rowAnne LABADIE
ValueCountFrequency (%)
romain 1
 
6.2%
mazenet 1
 
6.2%
michal 1
 
6.2%
rabinovitch 1
 
6.2%
alizée 1
 
6.2%
cholat 1
 
6.2%
julien 1
 
6.2%
jude 1
 
6.2%
anne 1
 
6.2%
labadie 1
 
6.2%
Other values (6) 6
37.5%
2023-12-11T14:03:55.403107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 11
 
10.1%
8
 
7.3%
L 5
 
4.6%
C 5
 
4.6%
i 5
 
4.6%
n 5
 
4.6%
I 5
 
4.6%
R 4
 
3.7%
T 4
 
3.7%
o 4
 
3.7%
Other values (26) 53
48.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 66
60.6%
Lowercase Letter 35
32.1%
Space Separator 8
 
7.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 11
16.7%
L 5
 
7.6%
C 5
 
7.6%
I 5
 
7.6%
R 4
 
6.1%
T 4
 
6.1%
O 4
 
6.1%
N 4
 
6.1%
E 4
 
6.1%
J 3
 
4.5%
Other values (10) 17
25.8%
Lowercase Letter
ValueCountFrequency (%)
i 5
14.3%
n 5
14.3%
o 4
11.4%
l 4
11.4%
a 4
11.4%
e 3
8.6%
m 2
 
5.7%
r 1
 
2.9%
y 1
 
2.9%
u 1
 
2.9%
Other values (5) 5
14.3%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 101
92.7%
Common 8
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 11
 
10.9%
L 5
 
5.0%
C 5
 
5.0%
i 5
 
5.0%
n 5
 
5.0%
I 5
 
5.0%
R 4
 
4.0%
T 4
 
4.0%
o 4
 
4.0%
l 4
 
4.0%
Other values (25) 49
48.5%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
99.1%
None 1
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 11
 
10.2%
8
 
7.4%
L 5
 
4.6%
C 5
 
4.6%
i 5
 
4.6%
n 5
 
4.6%
I 5
 
4.6%
R 4
 
3.7%
T 4
 
3.7%
o 4
 
3.7%
Other values (25) 52
48.1%
None
ValueCountFrequency (%)
é 1
100.0%

약력국문3
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing363
Missing (%)97.8%
Memory size3.0 KiB
2023-12-11T14:03:55.848502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length267
Median length15
Mean length65.625
Min length15

Characters and Unicode

Total characters525
Distinct characters155
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st row이들은 수핀포콤의 학생들이다
2nd row마이클은 이스라엘에서 태어났다.예술과 영화에 대한 지속적인 관심이 언제나 그의 삶에서 큰 부분을 차지했다.베자렐예술디자인학교에서 애니메이션을 공부하면서 두 관심사를 합칠 수 있었다.〈카페 바벨〉은 마지막 학년에 논문 프로젝트로 다프나 벤 아미와 함께 만든 졸업 작품이다.
3rd row그녀는 2010년부터 2013년까지 EMCA에서 수학했다.
4th row이들은 수핀포콤의 학생들이다
5th row이들은 수핀포콤의 학생들이다
ValueCountFrequency (%)
이들은 5
 
5.2%
학생들이다 5
 
5.2%
수핀포콤의 5
 
5.2%
3d 2
 
2.1%
애니메이션 2
 
2.1%
누오바예술대학에서 1
 
1.0%
마가 1
 
1.0%
취득했다.2003년부터 1
 
1.0%
학위를 1
 
1.0%
분야의 1
 
1.0%
Other values (72) 72
75.0%
2023-12-11T14:03:56.478371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
16.8%
이 21
 
4.0%
다 18
 
3.4%
에 12
 
2.3%
. 11
 
2.1%
들 11
 
2.1%
학 10
 
1.9%
0 10
 
1.9%
의 9
 
1.7%
은 8
 
1.5%
Other values (145) 327
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
72.4%
Space Separator 88
 
16.8%
Decimal Number 27
 
5.1%
Other Punctuation 14
 
2.7%
Uppercase Letter 6
 
1.1%
Close Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 21
 
5.5%
다 18
 
4.7%
에 12
 
3.2%
들 11
 
2.9%
학 10
 
2.6%
의 9
 
2.4%
은 8
 
2.1%
서 8
 
2.1%
수 7
 
1.8%
년 7
 
1.8%
Other values (128) 269
70.8%
Decimal Number
ValueCountFrequency (%)
0 10
37.0%
2 5
18.5%
1 4
 
14.8%
3 4
 
14.8%
9 2
 
7.4%
7 1
 
3.7%
8 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
A 1
16.7%
C 1
16.7%
M 1
16.7%
E 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 11
78.6%
, 3
 
21.4%
Space Separator
ValueCountFrequency (%)
88
100.0%
Close Punctuation
ValueCountFrequency (%)
〉 5
100.0%
Open Punctuation
ValueCountFrequency (%)
〈 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
72.4%
Common 139
 
26.5%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 21
 
5.5%
다 18
 
4.7%
에 12
 
3.2%
들 11
 
2.9%
학 10
 
2.6%
의 9
 
2.4%
은 8
 
2.1%
서 8
 
2.1%
수 7
 
1.8%
년 7
 
1.8%
Other values (128) 269
70.8%
Common
ValueCountFrequency (%)
88
63.3%
. 11
 
7.9%
0 10
 
7.2%
2 5
 
3.6%
〉 5
 
3.6%
〈 5
 
3.6%
1 4
 
2.9%
3 4
 
2.9%
, 3
 
2.2%
9 2
 
1.4%
Other values (2) 2
 
1.4%
Latin
ValueCountFrequency (%)
D 2
33.3%
A 1
16.7%
C 1
16.7%
M 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
72.4%
ASCII 135
 
25.7%
None 10
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
65.2%
. 11
 
8.1%
0 10
 
7.4%
2 5
 
3.7%
1 4
 
3.0%
3 4
 
3.0%
, 3
 
2.2%
D 2
 
1.5%
9 2
 
1.5%
7 1
 
0.7%
Other values (5) 5
 
3.7%
Hangul
ValueCountFrequency (%)
이 21
 
5.5%
다 18
 
4.7%
에 12
 
3.2%
들 11
 
2.9%
학 10
 
2.6%
의 9
 
2.4%
은 8
 
2.1%
서 8
 
2.1%
수 7
 
1.8%
년 7
 
1.8%
Other values (128) 269
70.8%
None
ValueCountFrequency (%)
〉 5
50.0%
〈 5
50.0%

약력영문3
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing363
Missing (%)97.8%
Memory size3.0 KiB
2023-12-11T14:03:56.932117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length452
Median length31
Mean length124.125
Min length31

Characters and Unicode

Total characters993
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st rowThey are students at Supinfocom
2nd rowMichal was born in Israel.Her constant interest in art and cinema was always a large part in her life. Studying animation at the Bezalel Academy of Arts and Design has made it possible for her to combine the two interests together. 〈Café Babel〉 is her graduation film made with Dafna Ben Ami during their final year as their thesis project.
3rd rowShe is a student at the EMCA from 2010 to 2013
4th rowThey are students at Supinfocom
5th rowThey are students at Supinfocom
ValueCountFrequency (%)
at 9
 
5.3%
and 7
 
4.1%
the 6
 
3.6%
in 6
 
3.6%
they 5
 
3.0%
students 5
 
3.0%
supinfocom 5
 
3.0%
are 5
 
3.0%
she 5
 
3.0%
is 3
 
1.8%
Other values (96) 113
66.9%
2023-12-11T14:03:57.650295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
16.2%
e 87
 
8.8%
a 81
 
8.2%
t 70
 
7.0%
n 60
 
6.0%
i 59
 
5.9%
s 54
 
5.4%
r 46
 
4.6%
o 42
 
4.2%
h 31
 
3.1%
Other values (44) 302
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 720
72.5%
Space Separator 161
 
16.2%
Uppercase Letter 60
 
6.0%
Decimal Number 27
 
2.7%
Other Punctuation 14
 
1.4%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%
Modifier Symbol 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 87
12.1%
a 81
11.2%
t 70
9.7%
n 60
 
8.3%
i 59
 
8.2%
s 54
 
7.5%
r 46
 
6.4%
o 42
 
5.8%
h 31
 
4.3%
d 30
 
4.2%
Other values (16) 160
22.2%
Uppercase Letter
ValueCountFrequency (%)
S 10
16.7%
A 9
15.0%
C 5
8.3%
T 5
8.3%
B 5
8.3%
D 5
8.3%
I 5
8.3%
M 5
8.3%
N 2
 
3.3%
R 2
 
3.3%
Other values (5) 7
11.7%
Decimal Number
ValueCountFrequency (%)
0 10
37.0%
2 5
18.5%
3 4
 
14.8%
1 4
 
14.8%
9 2
 
7.4%
8 1
 
3.7%
7 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 10
71.4%
, 4
 
28.6%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
〉 5
100.0%
Open Punctuation
ValueCountFrequency (%)
〈 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 780
78.5%
Common 213
 
21.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 87
 
11.2%
a 81
 
10.4%
t 70
 
9.0%
n 60
 
7.7%
i 59
 
7.6%
s 54
 
6.9%
r 46
 
5.9%
o 42
 
5.4%
h 31
 
4.0%
d 30
 
3.8%
Other values (31) 220
28.2%
Common
ValueCountFrequency (%)
161
75.6%
. 10
 
4.7%
0 10
 
4.7%
2 5
 
2.3%
〉 5
 
2.3%
〈 5
 
2.3%
3 4
 
1.9%
, 4
 
1.9%
1 4
 
1.9%
9 2
 
0.9%
Other values (3) 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 982
98.9%
None 11
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
16.4%
e 87
 
8.9%
a 81
 
8.2%
t 70
 
7.1%
n 60
 
6.1%
i 59
 
6.0%
s 54
 
5.5%
r 46
 
4.7%
o 42
 
4.3%
h 31
 
3.2%
Other values (41) 291
29.6%
None
ValueCountFrequency (%)
〉 5
45.5%
〈 5
45.5%
é 1
 
9.1%

감독국문4
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing366
Missing (%)98.7%
Memory size3.0 KiB
2023-12-11T14:03:57.938209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length7.8
Min length5

Characters and Unicode

Total characters39
Distinct characters29
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row스테판 파콜라
2nd row오리엔 뮐르하 엘 아트마니
3rd row캔디스 퇴이용
4th row왈리 마리옹
5th row티보 흐와
ValueCountFrequency (%)
스테판 1
8.3%
파콜라 1
8.3%
오리엔 1
8.3%
뮐르하 1
8.3%
엘 1
8.3%
아트마니 1
8.3%
캔디스 1
8.3%
퇴이용 1
8.3%
왈리 1
8.3%
마리옹 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:03:58.393613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
17.9%
리 3
 
7.7%
스 2
 
5.1%
마 2
 
5.1%
흐 1
 
2.6%
보 1
 
2.6%
티 1
 
2.6%
옹 1
 
2.6%
왈 1
 
2.6%
용 1
 
2.6%
Other values (19) 19
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32
82.1%
Space Separator 7
 
17.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3
 
9.4%
스 2
 
6.2%
마 2
 
6.2%
흐 1
 
3.1%
보 1
 
3.1%
티 1
 
3.1%
옹 1
 
3.1%
왈 1
 
3.1%
용 1
 
3.1%
이 1
 
3.1%
Other values (18) 18
56.2%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32
82.1%
Common 7
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3
 
9.4%
스 2
 
6.2%
마 2
 
6.2%
흐 1
 
3.1%
보 1
 
3.1%
티 1
 
3.1%
옹 1
 
3.1%
왈 1
 
3.1%
용 1
 
3.1%
이 1
 
3.1%
Other values (18) 18
56.2%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32
82.1%
ASCII 7
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
100.0%
Hangul
ValueCountFrequency (%)
리 3
 
9.4%
스 2
 
6.2%
마 2
 
6.2%
흐 1
 
3.1%
보 1
 
3.1%
티 1
 
3.1%
옹 1
 
3.1%
왈 1
 
3.1%
용 1
 
3.1%
이 1
 
3.1%
Other values (18) 18
56.2%

감독영문4
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing366
Missing (%)98.7%
Memory size3.0 KiB
2023-12-11T14:03:58.653346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length16.4
Min length11

Characters and Unicode

Total characters82
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowStéphane PACCOLAT
2nd rowOriane Mulleras EL ATMANI
3rd rowCandice THEUILLON
4th rowWalle MARION
5th rowThibaut ROY
ValueCountFrequency (%)
stéphane 1
8.3%
paccolat 1
8.3%
oriane 1
8.3%
mulleras 1
8.3%
el 1
8.3%
atmani 1
8.3%
candice 1
8.3%
theuillon 1
8.3%
walle 1
8.3%
marion 1
8.3%
Other values (2) 2
16.7%
2023-12-11T14:03:59.114030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
8.5%
a 6
 
7.3%
O 5
 
6.1%
e 5
 
6.1%
A 5
 
6.1%
L 4
 
4.9%
l 4
 
4.9%
T 4
 
4.9%
I 3
 
3.7%
N 3
 
3.7%
Other values (22) 36
43.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 40
48.8%
Lowercase Letter 35
42.7%
Space Separator 7
 
8.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 5
12.5%
A 5
12.5%
L 4
10.0%
T 4
10.0%
I 3
7.5%
N 3
7.5%
M 3
7.5%
C 3
7.5%
E 2
 
5.0%
R 2
 
5.0%
Other values (6) 6
15.0%
Lowercase Letter
ValueCountFrequency (%)
a 6
17.1%
e 5
14.3%
l 4
11.4%
i 3
8.6%
n 3
8.6%
r 2
 
5.7%
t 2
 
5.7%
u 2
 
5.7%
h 2
 
5.7%
c 1
 
2.9%
Other values (5) 5
14.3%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 75
91.5%
Common 7
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 6
 
8.0%
O 5
 
6.7%
e 5
 
6.7%
A 5
 
6.7%
L 4
 
5.3%
l 4
 
5.3%
T 4
 
5.3%
I 3
 
4.0%
N 3
 
4.0%
M 3
 
4.0%
Other values (21) 33
44.0%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81
98.8%
None 1
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
 
8.6%
a 6
 
7.4%
O 5
 
6.2%
e 5
 
6.2%
A 5
 
6.2%
L 4
 
4.9%
l 4
 
4.9%
T 4
 
4.9%
I 3
 
3.7%
N 3
 
3.7%
Other values (21) 35
43.2%
None
ValueCountFrequency (%)
é 1
100.0%

약력국문4
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
366 
이들은 수핀포콤의 학생들이다
 
5

Length

Max length15
Median length4
Mean length4.148248
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 366
98.7%
이들은 수핀포콤의 학생들이다 5
 
1.3%

Length

2023-12-11T14:03:59.310775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:59.487716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 366
96.1%
이들은 5
 
1.3%
수핀포콤의 5
 
1.3%
학생들이다 5
 
1.3%

약력영문4
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
366 
They are students at Supinfocom
 
5

Length

Max length31
Median length4
Mean length4.3638814
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 366
98.7%
They are students at Supinfocom 5
 
1.3%

Length

2023-12-11T14:03:59.700753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:03:59.877505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 366
93.6%
they 5
 
1.3%
are 5
 
1.3%
students 5
 
1.3%
at 5
 
1.3%
supinfocom 5
 
1.3%

감독국문5
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing368
Missing (%)99.2%
Memory size3.0 KiB
2023-12-11T14:04:00.071654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7
Min length5

Characters and Unicode

Total characters21
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row브노아 비유제
2nd row에밀리에 자미리
3rd row마리 흐노
ValueCountFrequency (%)
브노아 1
16.7%
비유제 1
16.7%
에밀리에 1
16.7%
자미리 1
16.7%
마리 1
16.7%
흐노 1
16.7%
2023-12-11T14:04:00.563446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
19.0%
리 3
14.3%
노 2
9.5%
에 2
9.5%
브 1
 
4.8%
아 1
 
4.8%
비 1
 
4.8%
유 1
 
4.8%
제 1
 
4.8%
밀 1
 
4.8%
Other values (4) 4
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
81.0%
Space Separator 4
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3
17.6%
노 2
11.8%
에 2
11.8%
브 1
 
5.9%
아 1
 
5.9%
비 1
 
5.9%
유 1
 
5.9%
제 1
 
5.9%
밀 1
 
5.9%
자 1
 
5.9%
Other values (3) 3
17.6%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
81.0%
Common 4
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3
17.6%
노 2
11.8%
에 2
11.8%
브 1
 
5.9%
아 1
 
5.9%
비 1
 
5.9%
유 1
 
5.9%
제 1
 
5.9%
밀 1
 
5.9%
자 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
81.0%
ASCII 4
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
100.0%
Hangul
ValueCountFrequency (%)
리 3
17.6%
노 2
11.8%
에 2
11.8%
브 1
 
5.9%
아 1
 
5.9%
비 1
 
5.9%
유 1
 
5.9%
제 1
 
5.9%
밀 1
 
5.9%
자 1
 
5.9%
Other values (3) 3
17.6%

감독영문5
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing368
Missing (%)99.2%
Memory size3.0 KiB
2023-12-11T14:04:00.827602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length13.333333
Min length12

Characters and Unicode

Total characters40
Distinct characters24
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowBenoit VIOUGEAS
2nd rowEmilie ZAMIRI
3rd rowMarie RENAUD
ValueCountFrequency (%)
benoit 1
16.7%
viougeas 1
16.7%
emilie 1
16.7%
zamiri 1
16.7%
marie 1
16.7%
renaud 1
16.7%
2023-12-11T14:04:01.283005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 4
 
10.0%
E 3
 
7.5%
3
 
7.5%
I 3
 
7.5%
e 3
 
7.5%
A 3
 
7.5%
R 2
 
5.0%
M 2
 
5.0%
U 2
 
5.0%
m 1
 
2.5%
Other values (14) 14
35.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 23
57.5%
Lowercase Letter 14
35.0%
Space Separator 3
 
7.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 3
13.0%
I 3
13.0%
A 3
13.0%
R 2
8.7%
M 2
8.7%
U 2
8.7%
N 1
 
4.3%
Z 1
 
4.3%
B 1
 
4.3%
S 1
 
4.3%
Other values (4) 4
17.4%
Lowercase Letter
ValueCountFrequency (%)
i 4
28.6%
e 3
21.4%
m 1
 
7.1%
r 1
 
7.1%
a 1
 
7.1%
l 1
 
7.1%
t 1
 
7.1%
o 1
 
7.1%
n 1
 
7.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37
92.5%
Common 3
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 4
 
10.8%
E 3
 
8.1%
I 3
 
8.1%
e 3
 
8.1%
A 3
 
8.1%
R 2
 
5.4%
M 2
 
5.4%
U 2
 
5.4%
m 1
 
2.7%
N 1
 
2.7%
Other values (13) 13
35.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 4
 
10.0%
E 3
 
7.5%
3
 
7.5%
I 3
 
7.5%
e 3
 
7.5%
A 3
 
7.5%
R 2
 
5.0%
M 2
 
5.0%
U 2
 
5.0%
m 1
 
2.5%
Other values (14) 14
35.0%

약력국문5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
368 
이들은 수핀포콤의 학생들이다
 
3

Length

Max length15
Median length4
Mean length4.0889488
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 368
99.2%
이들은 수핀포콤의 학생들이다 3
 
0.8%

Length

2023-12-11T14:04:01.533878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:04:01.720371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 368
97.6%
이들은 3
 
0.8%
수핀포콤의 3
 
0.8%
학생들이다 3
 
0.8%

약력영문5
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
<NA>
368 
They are students at Supinfocom
 
3

Length

Max length31
Median length4
Mean length4.2183288
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 368
99.2%
They are students at Supinfocom 3
 
0.8%

Length

2023-12-11T14:04:01.901764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:04:02.106234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 368
96.1%
they 3
 
0.8%
are 3
 
0.8%
students 3
 
0.8%
at 3
 
0.8%
supinfocom 3
 
0.8%

감독국문6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing370
Missing (%)99.7%
Memory size3.0 KiB
2023-12-11T14:04:02.252842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row왕단양
ValueCountFrequency (%)
왕단양 1
100.0%
2023-12-11T14:04:02.662767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
왕 1
33.3%
단 1
33.3%
양 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
왕 1
33.3%
단 1
33.3%
양 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
왕 1
33.3%
단 1
33.3%
양 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
왕 1
33.3%
단 1
33.3%
양 1
33.3%

감독영문6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing370
Missing (%)99.7%
Memory size3.0 KiB
2023-12-11T14:04:02.877688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters11
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowWANG Dan-Yang
ValueCountFrequency (%)
wang 1
50.0%
dan-yang 1
50.0%
2023-12-11T14:04:03.285725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2
15.4%
n 2
15.4%
W 1
7.7%
A 1
7.7%
N 1
7.7%
G 1
7.7%
1
7.7%
D 1
7.7%
- 1
7.7%
Y 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6
46.2%
Lowercase Letter 5
38.5%
Space Separator 1
 
7.7%
Dash Punctuation 1
 
7.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
W 1
16.7%
A 1
16.7%
N 1
16.7%
G 1
16.7%
D 1
16.7%
Y 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
n 2
40.0%
g 1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11
84.6%
Common 2
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2
18.2%
n 2
18.2%
W 1
9.1%
A 1
9.1%
N 1
9.1%
G 1
9.1%
D 1
9.1%
Y 1
9.1%
g 1
9.1%
Common
ValueCountFrequency (%)
1
50.0%
- 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2
15.4%
n 2
15.4%
W 1
7.7%
A 1
7.7%
N 1
7.7%
G 1
7.7%
1
7.7%
D 1
7.7%
- 1
7.7%
Y 1
7.7%

약력국문6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing370
Missing (%)99.7%
Memory size3.0 KiB
2023-12-11T14:04:03.496998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row이들은 수핀포콤의 학생들이다
ValueCountFrequency (%)
이들은 1
33.3%
수핀포콤의 1
33.3%
학생들이다 1
33.3%
2023-12-11T14:04:03.924175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2
13.3%
들 2
13.3%
2
13.3%
은 1
6.7%
수 1
6.7%
핀 1
6.7%
포 1
6.7%
콤 1
6.7%
의 1
6.7%
학 1
6.7%
Other values (2) 2
13.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
86.7%
Space Separator 2
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2
15.4%
들 2
15.4%
은 1
7.7%
수 1
7.7%
핀 1
7.7%
포 1
7.7%
콤 1
7.7%
의 1
7.7%
학 1
7.7%
생 1
7.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
86.7%
Common 2
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2
15.4%
들 2
15.4%
은 1
7.7%
수 1
7.7%
핀 1
7.7%
포 1
7.7%
콤 1
7.7%
의 1
7.7%
학 1
7.7%
생 1
7.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
86.7%
ASCII 2
 
13.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2
15.4%
들 2
15.4%
은 1
7.7%
수 1
7.7%
핀 1
7.7%
포 1
7.7%
콤 1
7.7%
의 1
7.7%
학 1
7.7%
생 1
7.7%
ASCII
ValueCountFrequency (%)
2
100.0%

약력영문6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing370
Missing (%)99.7%
Memory size3.0 KiB
2023-12-11T14:04:04.180948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters31
Distinct characters19
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowThey are students at Supinfocom
ValueCountFrequency (%)
they 1
20.0%
are 1
20.0%
students 1
20.0%
at 1
20.0%
supinfocom 1
20.0%
2023-12-11T14:04:04.625027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
12.9%
e 3
 
9.7%
t 3
 
9.7%
u 2
 
6.5%
a 2
 
6.5%
o 2
 
6.5%
s 2
 
6.5%
n 2
 
6.5%
p 1
 
3.2%
c 1
 
3.2%
Other values (9) 9
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25
80.6%
Space Separator 4
 
12.9%
Uppercase Letter 2
 
6.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3
12.0%
t 3
12.0%
u 2
 
8.0%
a 2
 
8.0%
o 2
 
8.0%
s 2
 
8.0%
n 2
 
8.0%
p 1
 
4.0%
c 1
 
4.0%
f 1
 
4.0%
Other values (6) 6
24.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27
87.1%
Common 4
 
12.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3
 
11.1%
t 3
 
11.1%
u 2
 
7.4%
a 2
 
7.4%
o 2
 
7.4%
s 2
 
7.4%
n 2
 
7.4%
p 1
 
3.7%
c 1
 
3.7%
f 1
 
3.7%
Other values (8) 8
29.6%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
12.9%
e 3
 
9.7%
t 3
 
9.7%
u 2
 
6.5%
a 2
 
6.5%
o 2
 
6.5%
s 2
 
6.5%
n 2
 
6.5%
p 1
 
3.2%
c 1
 
3.2%
Other values (9) 9
29.0%

행종료
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
행종료
371 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행종료 371
100.0%

Length

2023-12-11T14:04:04.850630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:04:05.038272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행종료 371
100.0%

Sample

no인덱스구분카테고리섹션작품명국문작품명영문제작국가러닝타임제작년도자막정보등급프로듀서촬영시나리오편집애니메이션음악캐릭터음향배경기타시놉국문시놉영문제작기법상영포맷상영포맷_기타사운드사운드_기타영상비율영상비율_기타색상제작사국문제작사영문배급사국문배급사영문감독국문1감독영문1약력국문1약력영문1감독국문2감독영문2약력국문2약력영문2감독국문3감독영문3약력국문3약력영문3감독국문4감독영문4약력국문4약력영문4감독국문5감독영문5약력국문5약력영문5감독국문6감독영문6약력국문6약력영문6행종료
01IV-015개막작개막작개막작메밀꽃, 운수 좋은 날 그리고 봄봄 - 한국단편문학애니메이션The Road Called Life - Animation of Korean Literature Part 1Korea01:30:002014<NA>G이상욱 LEE Sang-Wook김수정 KIM Su-Jung안재훈 AHN Jae-Hun함종민 HAM Jong-Min진형민 JIN Hyung-Min, 곽진아 GWAK Jin-Ah, 임은재 LIM Eun-Jae, 김슬기 KIM Seul-Ki강상구 KANG Sang-Gu진형민 JIN Hyung-Min, 곽진아 GWAK Jin-Ah김지희 KIM Ji-Hee김균석 KIM Kyun-Suk<NA><메밀꽃 필 무렵 > 장돌뱅이로 평생을 살아온 허생원은 봉평장이 서던 날 같은 장돌뱅이인 조선달을 따라간 주막에서 젊은 장돌뱅이 동이를 만난다. 메밀꽃이 핀 달밤에 그들과 동행하던 허생원은 동이와 자신의 기막힌 인연을 감지한다. <운수 좋은 날> 딸과 혼인시켜주겠다는 장인의 말만 철석같이 믿고 데릴사위로 머슴일을 하는 ‘나’. 하지만 장인은 딸 점순이의 키가 크지 않는다는 핑계를 대며 계속 결혼을 미루고 일만 부려먹는다. 화가 난 ‘나’는 참다못해 장인과 맞짱을 뜨는데... <봄봄> 아픈 아내의 만류를 뿌리치고 일을 나온 인력거꾼 김첨지는 허탕을 치던 다른 날과는 달리 많은 손님을 맞게 되고, 좋은 운수가 계속 되자 서서히 자신에게 다가온 운수를 의심하기 시작한다. 그 날 매우 지친 몸으로 집으로 돌아가던 김첨지는 알 수 없는 불안감으로 몹시 두려운 마음이 생기는데…<When the Buckwheat Flowers Bloom> HEO Saeng-Won is an ageing market vendor. He has been a peddler all his life. After a long day at the marketplace in Bongpyeong village, he follows his fellow peddler JO Seon-Dal into an inn where he meets a young itinerant vendor, Dong-I. As the three accompany each other under the moonlight along the buckwheat flowers, HEO Saeng-Won realizes he has a special bond with Dong-I. <Spring Spring> ‘I’ toil on the field day and night as a servant for a man who has promised to give his daughter’s hand to me in return for my labor. The man, however, keeps putting off the wedding, saying that his daughter is not growing fast enough. One day, out of fury, I call the man to the ultimate match. <A Lucky Day> KIM, who earns his living by driving a rickshaw, gets out on the street again, even after hearing from his wife that she is seriously ill. KIM then gets to drive an unusually large number of customers that day, and begins to suspect something hideous may lie ahead of his sudde2D ComputerDCP<NA><NA>NaNNaN<NA>Color연필로 명상하기Meditation with a pencil이달투, 연필로 명상하기Idaltu Film, Meditation with a pencil안재훈AHN Jae-Hun애니메이션 스튜디오 ‘연필로 명상하기’ 감독. 1994년 애니메이션을 시작하여 현재까지 애니메이션 감독으로 활발한 활동을 하고 있다. 단편 <히치콕의 어떤 하루>, <순수한 기쁨> 등으로 국내외 애니메이션 영화제에서 많은 주목을 받아왔으며, 2011년 발표한 첫 장편 애니메이션 <소중한 날의 꿈>은 안시국제애니메이션 페스티벌, 상하이 영화제 등 다수의 영화제에서 초청 상영되었다.AHN Jae-Hun is the director of Studio Mediation with a Pencil. Since he started his animation career in 1994, he has been one of the vital and versatile animation directors. His films including <One Day of Hitchcock> and <Innocent Joy> have attracted attention in domestic and international film festivals. In 2011, He released his first feature <Green Days - Dinosaur & I>, which was invited to various festivals including Anncey International Animated Film Festival and Shanghai International Film Festival.한혜진HAN Hye-Jin애니메이션 스튜디오 ‘연필로 명상하기’ 감독. 1997년 부터 <히치콕의 어떤 하루>, <리플레이>, <순수한 기쁨> 등의 단편 작품을 비롯하여 OVA <관운>, <미안하다 사랑하다>, TV 시리즈 <모험왕 장보고>, <겨울연가> 등의 작품 제작에 참여 하였다.HAN Hye-Jin is the director of Studio Mediation with a Pencil. She started her animation career in 1997 and her filmography includes: short films <One Day of Hitchcock>, <Replay> and <Innocent Joy>, OVA <Kwan & Woon`s Story> and <I`m Sorry I Love You> and TV series <Adventurer King Jangbogo> and <Winter Sonata>.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
12F-001경쟁부문장편부문장편부문1소년과 세상The Boy and the WorldBrazil01:19:382013<NA>GTita TESSLER, Fernanda CARVALHOMarcus VINÍCIUS, Débora FERNANDES, Luíz Henrique RODRIGUEZAlê ABREUAlê ABREUAlê ABREURuben FEFFER, Gustavo KURLATAlê ABREUPedro LIMA, Marcelo CYROAlê ABREU<NA>아버지의 부재로 인해 힘겹게 살아가던 소년이 살던 마을을 떠나, 동물의 모습을 한 기계와 이상한 존재들로 가득한 환상적인 세계를 만난다.다양한 예술적인 기교로 만들어진 이 특별한 애니메이션은 어린 아이의 눈을 통해 본 현대 사회의 문제들을 드러낸다.Suffering from the lack of the father, a boy leaves his village and discovers a fantastic world dominated by animal-machines and strange beings.An extraordinary animation with many artistic techniques, portraying the issues of the modern world through the eyes of a childDrawing on Paper, Cut-outs, 2D Computer, 3D ComputerHD File<NA>Dolby SRNaN1.85<NA>ColorFilme de Papel<NA><NA><NA>알레 아브레유Alê ABREU알레 아브레유는 1971년 3월 6일 상파울루에서 태어났다.열 세 살이 되던 해, 브라질 시청각 박물관에서 애니메이션 워크샵을 수강하면서 그의 첫 단편작, 〈코끼리 기억〉을 만들었다.소셜 커뮤니케이션을 전공하면서 〈시리우스〉(1993)와 〈허수아비〉(1998)를 제작했고 그의 최근작 중 하나인 〈Step〉(2007)은 세계 유수의 애니메이션 영화제에 초청을 받았다.현재 알레 아브루는 삽화 작업과 함께 애니메이션 시리즈 개발에 힘쓰고 있다.Alê ABREU was born in São Paulo in March 6, 1971.At the age of 13, he signed in the workshop of animation at the Brazilian Museum of Image and Sound, where he made his first short, entitled 〈Elephant Memory〉.Majoring in Social Communication, he made short films such as 〈Sirius〉(1993), and 〈Scarecrow〉(1998).One of his recent shorts, 〈Step〉(2007), participated in the most famous animation festivals in the world.Currently he works on book illustration, and develops an animated series.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
23F-007경쟁부문장편부문장편부문2꿈틀이WormsBrazil01:21:562013<NA>GPaolo CONTI, Paulo BOCCATOPhilippe ARRUDA, Klaus SCHILIKMANNRomeo Di SESSA, Thomas LAPIERRE, Marcos BERNSTEIN, Melanie DIMANTAS, Joana BOCCHINIJose Guilherme DELGADOPaolo CONTI, Luciano do AMARAL, Thiago CALÇADO, Gabriel COSTA, Policarpo GRACIANO, Camila RUMPF, AlvHerique TANJISandro CEUSO, Demian RIOSRITMIKAFabio COBIACOPost Production: O2 Filmes의도치 않게 지면까지 올라오게 된 작은 지렁이 주니어와 그의 친구들 니코와 린다가 집으로 돌아가기 위한 길을 찾기 시작한다.하지만 집으로 돌아가기 전에 이 꿈틀이들은 온 세상의 지렁이들을 노예 좀비로 만들려고 하는 무시무시한 악당 롤리폴리의 세계정복 계획을 무너뜨려야만 한다.Accidentally dug to the surface, the little earthworm Junior and his friends Nico and Linda work out a way to go back home.But first, they need to spoil plans of world`s domination of the terrible and evil "rolly-polly" who wants to transform all the earthworms of the world in slaved zombies.Stop motionHD File<NA>Dolby DigitalNaN16:9 Anamorphic<NA>ColorAnimaking<NA>Fox Film do Brasil Ltda.<NA>파올로 콘티Paolo CONTI파올로 콘티는 브라질에서 1977년에 태어났다.1998년부터 산업 디자인을 공부했고, 대학 1학년 때 셀 애니메이션의 연습생을 시작으로 여러 스튜디오에서 보조를 담당했다.1997년, 마침내 프리랜서가 되기로 결심한 그는 스톱모션 애니메이션 작품을 제작했다.일 년 후부터, 애니메이터이자 감독으로서의 커리어를 쌓아나가기 시작했으며, 2002년에 애니메이킹을 설립했다.Paolo CONTI was born in 1977, Brazil.He majored in Industrial Design from the year of 1998.In his first year at college, he started working as a trainee in cell animation and served as an assistant at many studios.In 1997, he decided to be a freelancer and worked on several stop motion animations.A year later, he finally started his career as both an animator and a director.In 2002 he founded Animaking.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
34F-009경쟁부문장편부문장편부문3아내의 유혹Cheatin`USA01:16:392013<NA>18Bill PLYMPTON, Desiree STAVRACOS, James HANCOCK<NA>New YorkKevin PALMERBill PLYMPTONNicole RENAUDBill PLYMPTONWeston FONGER<NA><NA>이제 막 결혼한 아내가 자기 사랑의 깊이를 증명하기 위해 바람난 남편의 정부(情婦)가 된다.A newlywed wife proves the depth of her love by becoming her cheating husband’s mistresses.Drawing On Paper, Cut-outs, 2D Computer, 3D ComputerDCP<NA>StereoNaN1.85<NA>ColorPlymptoons<NA>Plymptoons<NA>빌 플림튼Bill PLYMPTON플림톤은 인디 애니메이션의 왕으로 추앙받는다.장편 애니메이션 전체를 손으로 그려낸 유일한 사람이라는 사실이 이를 뒷받침한다.그가 만든 10편의 장편 중 7편이 애니메이션 작품이며 오스카 후보에 두 번 오른 적이 있다.Bill PLYMPTON is considered the king of indie animation.It is supported by the fact that he is the only person to hand-draw an entire feature film.He has made 10 feature films and 7 of them are animated.He has been nominated for the Oscar twice.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
45F-012경쟁부문장편부문장편부문4우리별 일호와 얼룩소The Satellite Girl and Milk CowKorea01:20:492014<NA>G조영각 CHO Young-Gak최동혁 CHOI Dong-Hyuk장형윤 CHANG Hyung-Yoon, 박지연 PARK Ji-Yeon, 정은경 JUNG Eun-Kyung, 강상균 KANG Sang-Gyun.이연정 LEE Yeon-Jung박지연 PARK Ji-Yeon, 김창수 KIM Chang-Su고경천 KO Kyung-Chun박지연 PARK Ji-Yeon, 김창수 KIM Chang-Su표용수 PYO Yong-Su, 고은하 KO Eun-Ha김영재 KIM Young-Jae, 김은숙 KIM Eun-Sook<NA>One day, Kyung-Chun is suddenly transformed into a timid brindled cow by magic.Never knowing the reason, he is chased by an Incinerator.However, thanks to the help of Merlin, the Toilet Paper Wizard, he manages to save his life.Also, a satellite named Il-ho, which was about to crash down on the earth gains its rebirth as a little girl by Merlin’s magic.However, threats by a hunter, Mr.Oh who tries to catch Kyung-Chun and also the Incinerator who wants to burn all the enchanted people approach them closer.Could this ever best ‘Magic Dream Team’ fight off all the evils and save the world indeed?어느날 갑자기, 마법에 의해 소심한 얼룩소로 변해버린 `경천`.영문도 모른채 `소각자`에게 쫓기는 신세가 된 얼룩소 경천은 화장지마법사 `멀린`의 도움으로 가까스로 구출된다.한편 수명이 다해 지구로 추락하던 인공위성 `일호` 역시 `멀린`의 마법으로 소녀의 모습으로 탄생하게 된다.하지만 동물들과 얼룩소 경천을 팔아 넘기려는 사냥꾼 `오사장`과 마법에 걸린 사람들을 태워버리려는 소각자 등 검은 괴물들의 위협은 점점 더 가까워져 오는데… 과연 `얼룩소 경천`과 `로봇소녀 일호` 화장지 마법사 `멀린`과 멧돼지 `북쪽마녀`까지 사상 최강의 마법드림팀은 악의 무리에 맞서 세상을 구해낼 수 있을까?2D Computer, 3D ComputerHD CAM, DCP<NA>Dolby DigitalNaN1.85<NA>Color㈜지금이 아니면 안돼Now or Never㈜인디플러그Indieplug장형윤CHANG Hyung-Yun장형윤은 〈어쩌면 나는 장님인지도 모른다〉로 감독 데뷔, 이후 〈편지〉, 〈그 여자네 집〉, 〈아빠가 필요해〉 등 다양한 단편 애니메이션을 제작하였고, 2007년 제작한 〈무림일검의 사생활〉로 서울국제만화애니메이션 페스티벌, 미쟝센단편영화제, 부천판타스틱영화제 등 많은 영화제 초청 및 수상으로 관객과 평단의 극찬을 받았다.5년 동안 제작한 첫 장편 애니메이션인 〈우리별 일호와 얼룩소〉는 2014년 2월 20일 전국 개봉하였으며, 현재 새로운 장편 애니메이션 준비에 한창이다.CHANG Hyung-Yun made his directorial debut with a film, 〈Maybe I’m Blind〉 and since then, has directed various short animations such as 〈The Letter〉, 〈At Her House〉 and 〈Wolf Daddy〉.〈A Coffee Vending Machine and its Sword〉 that he directed in 2007 was invited and awarded by a number of film festivals including SICAF and PIFAN and received rave reviews from both audiences and critics.His first feature, 〈The Satellite Girl and Milk Cow〉 was released in theaters nationwide on February 20, 2014 and he is currently working on his next feature animation.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
56F-013경쟁부문장편부문장편부문5행복의 기술The Art of HappinessItaly01:23:402013<NA>GLuciano STELLAAlessandro RAKLuciano STELLA, Alessandro RAKMarino GUARNIERIAlessandro RAKAntonio FRESA, Luigi SIACDONEAlessandro RAK<NA>Alessandro RAK<NA>두 형제.두 대륙.두 개의 삶.하나의 영혼.잿빛 하늘 아래, 종말론적 예감에 휩싸인 극도로 쇠퇴한 도시 나폴리의 택시기사인 세르기오는 충격적인 소식을 접한다.이제 그 어떤 것도 예전과 같지 않을 것이다.세르기오는 거울에 자신을 비추어본다.이제 그가 보는 것은 음악에 등을 돌린 채, 도시의 공허함 속에 길을 잃어버린 40세 남자의 모습뿐이다.Two brothers.Two continents.Two lives.One single soul.Under a gloomy sky, between apocalyptic premonitions in a Naples at its utmost decay, Sergio, a taxi driver, receives shocking news.Nothing will be the same as before.Now Sergio looks at himself in the mirror and what he sees is a forty-year-old man who has turned his back on music and got lost in the limbo of his city.2D ComputerDCP<NA>Dolby DigitalNaN1.85<NA>ColorBig Slot<NA>Elle Driver<NA>알레산드로 락Alessandro RAK1977년에 출생한 알레산드로 락은 나폴리를 기반으로 활동하는 작가이다 감독이다.Born in 1977, Alessandro RAK is a Neapolitan writer and director.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
67P-086경쟁부문단편부문단편부문1지네와 두꺼비The Centipede and the ToadFrance00:10:132013<NA>GSophie FALLOT<NA>Anna KHMELEVSKAYA, Fabrice LUANG-VIJAAnna KHMELEVSKAYA, Fabrice LUANG-VIJACamille ROSSI, Vincent BIERREWAERTS, Vincet DJINDAChristophe JACQUELIN<NA><NA><NA>Voices - Elisa de MAURY, Christian LEONARD Graphic Design and Sets - Anna KHMELEVSKAYA Additional Music: Luki by John McLAUGHLIN, courtesy of the author, live version mixed by Marcus WIPPERSBERG머나먼 숲속, 낭창낭창한 몸매의 지네는 자애로운 덕분에 다른 모든 동물의 존경을 받는다.늙은 두꺼비 한 마리만 빼고.거만하고 시샘 많은 두꺼비는 지네를 미워한다.어느 날 두꺼비는 지네를 없애버리기로 결심한다.In a faraway forest, the gracious, lissome Centipede is admired by all the other creatures.Except for an old Toad, haughty and jealous, who hates him.One day, he decides to get rid of the Centipede.Drawing on Paper, 2D ComputerDCP<NA>Dolby Digital, 5.1NaN16:9<NA>ColorFargo<NA><NA>안나 크메레브스카야Anna KHMELEVSKAYA안나 크메레브스카야는 1976년 벨로루시의 민스크에서 태어났다.민스크미술학교와 민스크언어대학교에서 공부를 마치고 파리로 건너가 아르데코학교에서 컴퓨터 그래픽과 애니메이션을 공부했다.이후로 쭉 그래픽 디자이너, 애니메이터, 스토리보더로 일하고 있다.Anna KHMELEVSKAYA was born in 1976 in Minsk, Belarus.After the studies at Minsk`s Fine-Arts Academy and at its University of Linguistics, she arrived in Paris to study computer graphics and animation at the Arts Décos school.Since then, she works as a graphic designer, animator and storyboarder.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
78P-118경쟁부문단편부문단편부문1내 마음대로As I WishKorea00:08:492014<NA>G김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin조항철 CHO Hang-Cheol김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin신동진 SHIN Dong-Jin, 남택우 NAM Tae-Ku, 강상필 KANG Sang-Pil김채현 KIM Chae-Hyun, 신동진 SHIN Dong-Jin<NA>집안일과 바깥일 때문에 정신 없는 엄마는 학교를 마치고 집에 온 민혜에게 날카롭고 거친 잔소리만 해댄다.민혜는 그런 엄마가 고장난 라디오 같고, 터질 듯 한 풍선 같은데…A mom is always busy due to all the housework.And she keeps nagging harshly at Min-Hye who comes back home from school.Min-Hye thinks that her mom seems just like a broken radio and a balloon going to be pooped soon.2D ComputerHD CAM<NA>StereoNaN16:9 Anamorphic<NA>Color<NA><NA>한국독립애니메이션협회, 씨앗KIAFA AniSEED김채현KIM Chae-Hyun김채현은 2011년에 계원예술대학교를 졸업하였다.KIM Chae-Hyun graduated from Kaywon University of Art & Design in 2011.신동진SHIN Dong-Jin신동진은 현재 한국예술종합학교에 재학중이다.SHIN Dong-Jin is currently enrolled at Korea National University of Arts.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
89P-336경쟁부문단편부문단편부문1상상ImaginationUkraine00:09:112013<NA>GGanna POLONICHENKOVadim ILLKOVKatherine CHEPIKL.KOSTENKO, K.CHEPIK, V.ILLKOVAndry SLESARERSKYDmitro KARPENJUKKatherine CHEPIKOlekasndr BIGUNKatherine CHEPIK<NA>이 작품은 아이들의 순진하면서도 엉뚱한 환상을 반영한다.자기 방에서 신나게 놀며 잔뜩 흥분해 있던 소녀는 갑자기 자신이 플라스틱과 종이로 만들어진 세계에 놓여 있는 것을 깨닫는다.The idea of the film is the reflection of children`s fantasy which is naive and absurd.A girl gets too excited while playing in her room and suddenly discovers herself in a world made of paper and plastic.Drawing on Paper, Clay, Pixialtion, Cut-outs, 2D ComputerHD File<NA>StereoNaN16:9<NA>ColorNovatorfilmKrakow Film Foundation<NA>캐서린 체픽Katherine CHEPIK그녀는 1988년 우크라이나의 키예프에서 태어났다.카르펜코 (카리키예프국립연극영화방송대학교)를 졸업했으며 그곳에서 애니메이션 전문 감독이 되기 위한 공부를 했다.She was born in 1988, Kyiv, Ukraine.She graduated from Karpenko - Kary Kyiv National University of Theatre, Film and Television, where she studied on a specialty director of animated films.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
910P-109경쟁부문단편부문단편부문1아프지않아ReplacementKorea00:18:152013<NA>G<NA><NA>김보영 KIM Bo-Young, 김나영 KIM Na-Young김보영 KIM Bo-Young김보영 KIM Bo-Young김현 KIM Hyun, 김보영 KIM Bo-Young김보영 KIM Bo-Young김현 KIM Hyun, 김보영 KIM Bo-Young김보영 KIM Bo-Young<NA>결국 올 것이 오고야 말았다.앞니가 흔들거리는 걸 엄마가 알게 된 것이다.이 뽑는 날이 달력에 표시되면서 아이는 아무것도 손에 잡히지 않고 하루 종일 이가 뽑히게 될 생각으로 무섭기만 하다.안 아픈 척, 아직은 때가 아닌 척, 잠든 척 등을 해보며 공포의 이 뽑기를 피하느라 피곤한 가운데 하루하루가 지나가고 아이는 자신을 잡으러 오는 잿빛 얼굴 이빨 인간의 숨막히는 올가미로부터 옴짝달싹하지 못하며 끌려다니게 된다.A Boy`s tooth is loose and his Mother has marked a date to have the tooth pulled.The Boy is terrified of the pain; it may as well be a death sentence.The fear causes immense anxiety and he spirals down into a web of nightmares and irrational ways to avoid his Mother.2D ComputerHD CAMStereoNaN16:9 Anamorphic<NA>Color<NA><NA>한국독립애니메이션협회, 씨앗KIAFA AniSEED김보영KIM Bo-Young김보영은 서울 출생이며, 한국과 LA에서 모션그래픽 프리랜서로 활동했다.2013부터 애니메이션에 입문하였다.KIM Bo-Young was born in Seoul and she has worked as a motion graphic freelancer in Korea and LA.She entered the animation business in 2013.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
no인덱스구분카테고리섹션작품명국문작품명영문제작국가러닝타임제작년도자막정보등급프로듀서촬영시나리오편집애니메이션음악캐릭터음향배경기타시놉국문시놉영문제작기법상영포맷상영포맷_기타사운드사운드_기타영상비율영상비율_기타색상제작사국문제작사영문배급사국문배급사영문감독국문1감독영문1약력국문1약력영문1감독국문2감독영문2약력국문2약력영문2감독국문3감독영문3약력국문3약력영문3감독국문4감독영문4약력국문4약력영문4감독국문5감독영문5약력국문5약력영문5감독국문6감독영문6약력국문6약력영문6행종료
361377IV-017초청부문오픈 프레임아이툰 이야기도론코론Doron CoronJapan00:03:002012<NA>GEtsuko IWATAShin HOSOKAWA, Masato HAYAFUNEYuichi ITOKanya OMURA, Yasuhiko IKEDAIkuko IWATSUKI, Mayuko TAZUMI, Motoki OHNOSatoko NAKAMURA, Taketeru SUNAMORI, Miyako MATSUOKAYuichi ITOTaketeru SUNAMORI, Masumi TAKINOYuichi ITO<NA>도론코론은 흙과 천사의 오줌으로 예기치 못하게 태어났다.고향 마을을 떠난 도론코론은 1년 동안 다양한 생명체를 만나고 소통하고 교감한다.그리고 결국에는 다시 흙으로 돌아간다.Doron Coron is animated in an unexpected way with mud and angel’s pee.He leaves the town, and meets various kinds of creatures throughout the year, communicates with them.And then, he returns to the soil eventually.Animated Objects, Clay, 3D ComputerBlu-ray<NA><NA>NaNNaN<NA>Color<NA><NA><NA><NA>이토 유이치Yuichi ITO1962년 도쿄에서 태어나 1985년 도쿄예술대학을 졸업했다.1998년 I.TOON Ltd.을 설립하여 대표및 감독으로 활동하고 있으며 주요 작품으로는 〈야키〉, 〈항구이야기〉, 〈도론코론〉등이 있다.그의 작품들은 제52회 즐린국제어린이청소년영화제, 2012년 아시아그라프, 2013년 시애틀어린이영화제 등 많은 국제영화제에서 인정 받고 있다.그는 TV광고 및 이벤트를 위한 애니메이션 영상들도 만들고 있다.1962 born in Tokyo, 1985 graduated from Tokyo University of the Arts.1998 established I.TOON Ltd.and became the company president and director.His major works are 〈Knyacki!〉, 〈HARBOR TALE〉, 〈DoronCoron〉.His films are admired by many international film festivals like the 52nd ZLIN International Film Festival for Children and Youth, Asiagragh2012, Children`s Film Festival Seattle 2013 and so on.He also creates many animated video for tv-CM or events.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
362378IV-019초청부문오픈 프레임사진관사진관The Portrait StudioJapan00:16:512013<NA>GYasuchika WAKAYAMA, Kenji SATO<NA>Takashi NAKAMURA<NA><NA>Jun ICHIKAWA<NA><NA><NA><NA>20세기 초 러일전쟁 전 일본.온갖 종류의 사람들이 한 남자가 운영하는 언덕 위의 사진관을 방문한다.어느 날, 한쌍의 부부가 초상화를 찍으러 온다.부인은 부끄러워하며 계속해서 시선을 돌리지만 사진사는 온갖 수단을 사용해 그녀의 미소를 필름에 담는다.이듬해 부부가 성질이 고약한 어린 딸을 데리고 나타난다.사진사는 최선을 다해 소녀를 미소짓게 하려고 애를 쓰지만...이 향수어린 이야기속에서 사진사와 소녀의 관계는 전쟁과 고난을 초월한다.Japan, before the Russo-Japanese war at the turn of the 19th century.All kinds of people visit the photography studio run by the man at the top of the hill.One day, a married couple comes to have their portrait taken.The wife is shy and constantly averts her gaze but the photographer uses his bag of tricks to capture her smile on film.The following year the same couple shows up again with their ill-tempered baby daughter.The photographer tries his best to coax a smile out of the girl, but...The photographer and the girl`s relationship transcends wars and disasters in this nostalgic animated tale.<NA>Blu-ray<NA><NA>NaNNaN<NA>Color<NA>Studio Colorido Co.,Ltd<NA><NA>나카무라 타카시Takashi NAKAMURA1955년 출생.대표적인 일본의 애니메이터로 모리모토 코지 감독 등에게 영향을 주었다.대표작으로는 1988년작 〈아키라〉, 2001년 베를린 영화제 공식 초청작 〈파름의 나무〉 등이 있다.Born in 1955, Takashi NAKAMURA is a leading master animator whose works have influenced Koji MORIMOTO and other such well-known directors.His main works include 〈Akira〉, released in 1988, and 〈Parum’s Tree〉, screened on official invitation at the 2001 Berlin Film Festival.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
363379IV-019초청부문오픈 프레임태양 소년과 이슬 소녀태양 소년과 이슬 소녀Sonny Boy and Dewdrop GirlJapan00:18:192013<NA>GYasuchika WAKAYAMA, Kenji SATO<NA>Hiroyasu ISHIDA<NA><NA>Jun ICHIKAWA<NA><NA><NA><NA>히나타는 그림을 잘 그리는 남학생이다.그는 같은 반 친구 시구레를 좋아하지만 그녀에게 고백하기에는 용기가 없다.그래서 소년은 소녀에게 갖고 있는 환상을 그리면서 하루를 보낸다.어느 날, 히나타는 시구레가 일본을 떠난다는 사실을 알게 된다.소녀가 학교를 떠나는 마지막 날 히나타는 시구레에게 그의 감정을 말하기로 결심한다.소년이 택시를 타고 떠나려는 소녀를 보았을 때! 〈태양 소년과 이슬 소녀〉는 활기 넘치는 어린 사랑의 기발한 이야기이다.Schoolboy Hinata is good at drawing.He has a big crush on his classmate Shigure but is too shy to tell her so he spends his days illustrating his fantastical daydreams about her.One day, Hinata finds out Shigure is leaving Japan.On her last day at school Hinata decides he has to tell Shigure how he feels.When he sees her leaving in a taxi he takes off after her! 〈Sonny Boy & Dewdrop Girl〉 is a whimsical story of young love overflowing with energy.<NA>Blu-ray<NA><NA>NaNNaN<NA>Color<NA>MODE FILMS INC<NA><NA>이시다 히로야스Hiroyasu ISHIDA교토 세이카 대학 재학중 〈후미코의 고백〉으로 유튜브에서 폭발적인 인기를 얻은 애니메이션 감독이다.He directed the film 〈Fumiko’s confession〉, which is a smash hit on Youtube, while attending at the Kyoto Seika University.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
364380IV-016초청부문오픈 프레임미안하다 사랑한다미안하다 사랑한다Sorry, I Love YouKorea00:33:262006<NA>G정두열 JUNG Doo_Yeul정주리 JUNG Joo-Ri김재민 KIM Jae-Min, 허진아 HUH Jin-Ah남종현 NAM Jong-Hyun, 함종민 HAM Jong-Min, 전대현 JUN Dae-Hyun안상남 AHN Sang-Nam최용원 CHOI Yong-Won최인승 CHOI In-Seoung김병주 KIM Byung-Joo, 김동엽 KIM Dong-Yup이윤호 LEE Yun-Ho<NA>2004년 겨울 방영된 드라마 〈미안하다, 사랑한다〉는 10년 후인 올해 중국, 캐나다 합작 리메이크 영화를 개봉하며 여전히 식지않는 인기를 자랑한다.애니메이션 〈미안하다, 사랑한다〉는 드라마가 못다한 이야기를 담은 특별판으로 연필로 명상하기에서 연출을 맡았다.애니메이션으로 재탄생한 드라마의 주인공들을 스크린에서 만나는 남다른 기회를 선사한다.여주인공 송은채가 차무혁의 무덤 앞에서 자살하는 순간까지의 심적인 변화와 무혁이 풀지 않고 가버린 오들희와의 사연에 초점을 맞춰, 차무혁의 사고 직후인 1년 전으로 거슬러 올라가 이야기를 시작한다.The Korean TV drama, 〈Sorry, I Love You〉, which aired to great popularity in the winter of 2004, continues to draw much fandom, as the release of its sequel this year, in the form of a feature film, attests.The feature animation, a work of collaboration between Chinese and Canadian studios and directed by Korea’s studio named ‘Reflecting with a Pencil,’ tells the story of the characters not included in the original drama series.SONG Eun-Chae, underwent until the moment she committed suicide before the grave of her lover, CHA Mu-Hyeok, as well as the story between Mu-hyeok and another woman named OH Deul-Hee.The sequel begins at a time when one year has passed since the accidental death of CHA Mu-Hyeok.2D ComputerMOV H.264<NA><NA>NaNNaN<NA>Color㈜지앤지엔터테인먼트G&G Entertainment Incorporated㈜지앤지엔터테인먼트G&G Entertainment Incorporated안재훈AHN Jae-Hun애니메이션 스튜디오 ‘연필로 명상하기’ 감독.1994년 애니메이션을 시작하여 현재까지 애니메이션 감독으로 활발한 활동을 하고 있다.단편 〈히치콕의 어떤 하루〉, 〈순수한 기쁨〉 등으로 국내 애니메이션 영화제에서 많은 주목을 받아왔으며 그 밖의 작품으로 〈모험왕 장보고(TV)〉, 〈미안하다 사랑하다(OVA)〉, 〈겨울연가(TV 시리즈)〉 등이 있다.AHN Jae-Hun is the director of Studio Mediation with a Pencil.Since he started his animation career in 1994, he has been one of the vital and versatile animation directors.He films including 〈One Day of Hitchcock〉 and 〈Innocent Joy〉 has attracted attention in domestic and international film festivals.His commercial works include 〈Adventurer King Jangbogo (TVseries)〉, 〈I`m Sorry I Love You (OVA)〉 and 〈Winter Sonata (TV series)〉.한혜진HAN Hye-Jin애니메이션 스튜디오 ‘연필로 명상하기’ 감독.1997년 부터 〈히치콕의 어떤 하루〉, 〈리플레이〉, 〈순수한 기쁨〉 등의 단편 작품을 비롯하여 OVA 〈관운〉, 〈미안하다 사랑하다〉, TV 시리즈 〈모험왕 장보고〉, 〈겨울연가〉 등의 작품 제작에 참여 하였다.HAN Hye-Jin is the director of Studio Mediation with a Pencil.She started her animation career in 1997 and her filmography includes: short films 〈One Day of Hitchcock〉, 〈Replay〉 and 〈Innocent Joy〉, OVA 〈Kwan & Woon`s Story〉 and 〈I`m Sorry I Love You〉 and TV series 〈Adventurer King Jangbogo〉 and 〈Winter Sonata〉.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
365382IV-018초청부문오픈 프레임여름밤의 애니메이션XXUK00:06:002012<NA>G<NA><NA>London<NA>Matt ABBISS, Tony COMLEY, Valeria FONSECA, Max HATTLER, Siobhan MCELHINNEY, Luiz STOCKLER.Eduardo Noya SCHREUS<NA>Eduardo Noya SCHREUS<NA><NA>미확인물체 X는 곧 갖가지 모양으로 가득찬 심포니가 된다.모두 자기 멋대로 움직이는 것으로 가득찬 이 동적이고 활기넘치는 세상에서는 교류와 함게 하는 행동만이 불가해한 공식을 풀 수 있는 해답이 될 것이다.The unknown X becomes a whole symphony of shapes.In a kinetic energetic world where everything is on their own ,but can intersect with each other, cross-action seems the best way to solve an unknown equation.2D ComputerDCP<NA><NA>NaNNaN<NA>Color<NA><NA><NA><NA>맥스 하틀러Max HATTLER맥스 하틀러는 현재 런던에 거주하며 이스트런던대학교에서 순수미술 박사과정을 밟고 있고, 런던예술대학교와 골드스미스 등지에서 강의하고 있다.영화, 비디오설치작품, 그리고 시청각 행위예술 등을 통해 추상과 형상화, 미학과 정치, 소리와 이미지, 정교함과 즉흥성 사이의 대립에 도전하고 있다.전세계에서 개인전 및 회고전 등을 개최한 바 있다.Max HATTLER lives in London where he’s a Doctorate in Fine Art candidate at University of East London, and teaches at Goldsmiths and University of the Arts London.His films, video installations and audiovisual performances challenge the tensions between abstraction and figuration, aesthetics and politics, sound and image, precision and improvisation.Hattler has had solo exhibitions and retrospectives around the world.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
366383IV-018초청부문오픈 프레임여름밤의 애니메이션랜드LandJapan00:03:302013<NA>GMasanobu HIRAOKA<NA>Masanobu HIRAOKAMasanobu HIRAOKAMasanobu HIRAOKAAimar MOLEROMasanobu HIRAOKAAimar MOLEROMasanobu HIRAOKA<NA>추상과 변신.Abstraction and metamorphoses.2D ComputerHD File<NA><NA>NaNNaN<NA>Color<NA><NA><NA><NA>히라오카 마사노부Masanobu HIRAOKA히라오카 마사노부는 2006년에 모모야마 고등학교를 졸업한 후에도 애니메이터가 되고 싶다는 꿈을 버릴 수 없었다.애니메이션을 독학하기 시작한 그는 이제 온전한 아티스트가 되어 도쿄에서 프리랜서 애니메이터로 생활하고 있다.Masanobu HIRAOKA graduated from Momoyama High School in 2006.He then started to work but could not give up his dream: being an animator.Therefore, he learned animation by himself and now is a completely self-educated artist.He currently lives and works in Tokyo as a freelance animator<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
367384IV-018초청부문오픈 프레임여름밤의 애니메이션우연 2Coincidence 2UK00:03:242013<NA>GSabrina SCHMID<NA><NA>Sabrina SCHMIDSabrina SCHMID<NA><NA><NA><NA><NA>이 작품은 영화와 애니메이션 속에서 추상성을 실험했던 초기 아방가르드 예술가의 작품들 가운데 컴퓨터 애니메이션으로 재해석 가능한 작품들에게 헌사를 보내는 추상 애니메이션이다.마치 형태가 움직이는 만화경을 들여다보는 것 같은 느낌을 연상시킨다.This is an abstract animation that pays tribute to some works by early avant-garde artists who experimented with abstraction in film and animation which can be reinterpreted through computer animation.This animation reminds you of looking through a kaleidoscope in animated form.2D ComputerHD File<NA><NA>NaNNaN<NA>Color<NA><NA><NA><NA>사브리나 슈미트Sabrina SCHMID사브리나 슈미트는 1986년부터 애니메이션에 종사했으며 현재는 영국의 티스사이드대학교 전산대학에서 애니메이션을 가르치고 있다.호주와 유럽에서 프리랜서로 일했고 현재 영국에서 진행하고 있는 추상적인 형태를 탐구하는 실행 기반 애니메이션 작업은 2009년, 2011년 스페인의 푼토 이 라야 페스티벌과 2014년 아이슬란드, 최근의 미국과 호주에서 상영되었다.Sabrina SCHMID has worked in animation since 1986 and currently teaches animation in the United Kingdom at the School of Computing, Teesside University.She has worked freelance in Australia and in Europe and her current practice-based animation work in the UK explores abstract form which has screened internationally at the Punto Y Raya Festivals in 2009, 2011 (Spain) and 2014 (Iceland) and recently in USA and Australia.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
368385IV-018초청부문오픈 프레임여름밤의 애니메이션뮤직 박스Music BoxUK00:01:002011<NA>GStuart POUND<NA><NA>Stuart POUND<NA>Hohenfriedberger March composed by Frederick the Great<NA>Stuart POUND<NA><NA>뮤직 박스의 타임코드가 18세기 군대의 가락처럼 펼쳐진다.Time code unfolds as a music box plays an 18th century military tune.2D ComputerHD File<NA><NA>NaNNaN<NA>B&W<NA><NA><NA><NA>스튜어트 파운드Stuart POUND스튜어트 파운드는 런던에 거주하면서 1970년대 초반부터 영화와, 디지털 비디오, 시각 예술 분야에서 일했다.1995년부터 시인인 로즈메리 노만과 협업하고 있다.작품은 국제 영화 및 영상 페스티벌에서 정기적으로 상영되고 있다.Stuart POUND lives in London and has worked in film, digital video, and the visual arts since the early 1970’s.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
369386IV-018초청부문오픈 프레임여름밤의 애니메이션컬러메트리 인 모션Colorimetry in MotionCanada00:04:542013<NA>GLa Chose Imprimée<NA><NA>Nicolas MENARD<NA>Nicolas MENARD<NA>Nicolas MENARD<NA>Programming: Éric RENAUD-HOUDE컬러메트리 인 모션은 사용자화된 응용프로그램으로 만든 실험 작품이다.색측정 데이터와 기본적인 수학 규칙을 사용하여 색깔들은 그래픽으로 표현되고 겹쳐진다.임의로 선택된 하나의 색이 다른 색으로 변하면서 우리는 움직임을 얻게 된다.Colorimetry in motion is an experimental film made with a custom application.Using the data of colorimetry and simple mathematical rules, colours are graphically represented and superposed.Translating from one randomly selected colour to another, we obtain motion.2D ComputerHD File<NA><NA>NaNNaN<NA>Color<NA><NA><NA><NA>니콜라스 메나드Nicolas MENARD몬트리올 출신의 니콜라스 메나드는 런던의 영국 왕립 예술 학교에서 애니메이션 석사를 마쳤다.영상 이미지와 출판 이미지의 기로에서 그의 작업은 시적이고 개념적인 접근을 통해 일러스트레이션과 그래픽 디자인을 결합한다.Originally from Montreal, Nicolas MÉNARD is currently completing a Master in Animation at the Royal College of Art in London.At the crossroads between moving image and printed image, his work combines illustration and graphic design in a poetic and conceptual approach.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료
370387IV-018초청부문오픈 프레임여름밤의 애니메이션인테리어InteriorUK00:03:002013<NA>GSabrina SCHMID<NA><NA>Sabrina SCHMIDSabrina SCHMID<NA><NA><NA><NA><NA>실험영화와 애니메이션의 추상적인 형상이라는 유산을 재해석 하는 데 있어 컴퓨터는 무한한 기회를 제공한다.이 작품은 애니메이션 움직임 속에서 사각형과 원으로 이루어진 단순한 형태를 탐구하며 영원히 바뀌고 변하는 내부 공간을 제안하는 추상 애니메이션이다.This is an abstract animation exploring the simple forms of rectangles and circles in animated movement to suggest an interior space forever changing and mutating, where computer animation allows an almost unlimited opportunity for re-interpretation of the heritage of abstract imagery in experimental film and animation.2D ComputerHD File<NA><NA>NaNNaN<NA>Color<NA><NA><NA><NA>사브리나 슈미트Sabrina SCHMID사브리나 슈미트는 1986년부터 애니메이션에 종사했으며 현재는 영국의 티스사이드대학교 전산대학에서 애니메이션을 가르치고 있다.호주와 유럽에서 프리랜서로 일했고 현재 영국에서 진행하고 있는 추상적인 형태를 탐구하는 실행 기반 애니메이션 작업은 2009년, 2011년 스페인의 푼토 이 라야 페스티벌과 2014년 아이슬란드, 최근의 미국과 호주에서 상영되었다.Sabrina SCHMID has worked in animation since 1986 and currently teaches animation in the United Kingdom at the School of Computing, Teesside University.She has worked freelance in Australia and in Europe and her current practice-based animation work in the UK explores abstract form which has screened internationally at the Punto Y Raya Festivals in 2009, 2011 (Spain) and 2014 (Iceland) and recently in USA and Australia.<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>행종료