Overview

Dataset statistics

Number of variables9
Number of observations3247
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory234.8 KiB
Average record size in memory74.0 B

Variable types

Numeric2
Text4
DateTime2
Categorical1

Dataset

Description애니메이션 제작자 등이 국내제작 애니메이션으로 인정 받은 정보로 작품명, 신청인, 편당분량, 편수, 제작형태 등의 정보 제공.
Author방송통신위원회
URLhttps://www.data.go.kr/data/15088907/fileData.do

Alerts

제작형태 is highly imbalanced (58.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:18:06.381146
Analysis finished2023-12-12 03:18:08.247639
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3247
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1624
Minimum1
Maximum3247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2023-12-12T12:18:08.344932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile163.3
Q1812.5
median1624
Q32435.5
95-th percentile3084.7
Maximum3247
Range3246
Interquartile range (IQR)1623

Descriptive statistics

Standard deviation937.47249
Coefficient of variation (CV)0.57726138
Kurtosis-1.2
Mean1624
Median Absolute Deviation (MAD)812
Skewness0
Sum5273128
Variance878854.67
MonotonicityNot monotonic
2023-12-12T12:18:08.576902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2170 1
 
< 0.1%
2160 1
 
< 0.1%
2161 1
 
< 0.1%
2162 1
 
< 0.1%
2163 1
 
< 0.1%
2164 1
 
< 0.1%
2165 1
 
< 0.1%
2166 1
 
< 0.1%
2167 1
 
< 0.1%
Other values (3237) 3237
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3247 1
< 0.1%
3246 1
< 0.1%
3245 1
< 0.1%
3244 1
< 0.1%
3243 1
< 0.1%
3242 1
< 0.1%
3241 1
< 0.1%
3240 1
< 0.1%
3239 1
< 0.1%
3238 1
< 0.1%

접수번호
Text

Distinct3181
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:18:09.082336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.0535879
Min length8

Characters and Unicode

Total characters26150
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3116 ?
Unique (%)96.0%

Sample

1st row2010-11-001
2nd row2010-11-002
3rd row2010-11-003
4th row2010-11-004
5th row2010-11-005
ValueCountFrequency (%)
2019-013 3
 
0.1%
2011-022 2
 
0.1%
2011-007 2
 
0.1%
2011-009 2
 
0.1%
2011-045 2
 
0.1%
2011-020 2
 
0.1%
2011-019 2
 
0.1%
2011-018 2
 
0.1%
2011-017 2
 
0.1%
2011-015 2
 
0.1%
Other values (3171) 3226
99.4%
2023-12-12T12:18:09.817487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6224
23.8%
0 5646
21.6%
1 4511
17.3%
- 3305
12.6%
3 1163
 
4.4%
5 967
 
3.7%
7 903
 
3.5%
9 879
 
3.4%
4 866
 
3.3%
6 855
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22845
87.4%
Dash Punctuation 3305
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6224
27.2%
0 5646
24.7%
1 4511
19.7%
3 1163
 
5.1%
5 967
 
4.2%
7 903
 
4.0%
9 879
 
3.8%
4 866
 
3.8%
6 855
 
3.7%
8 831
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 3305
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6224
23.8%
0 5646
21.6%
1 4511
17.3%
- 3305
12.6%
3 1163
 
4.4%
5 967
 
3.7%
7 903
 
3.5%
9 879
 
3.4%
4 866
 
3.3%
6 855
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26150
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6224
23.8%
0 5646
21.6%
1 4511
17.3%
- 3305
12.6%
3 1163
 
4.4%
5 967
 
3.7%
7 903
 
3.5%
9 879
 
3.4%
4 866
 
3.3%
6 855
 
3.3%

접수일자
Date

Distinct212
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
Minimum2010-11-02 00:00:00
Maximum2023-08-25 00:00:00
2023-12-12T12:18:10.067702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:10.253768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

작품명
Text

Distinct3182
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:18:10.761178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length44
Mean length11.835233
Min length1

Characters and Unicode

Total characters38429
Distinct characters958
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3126 ?
Unique (%)96.3%

Sample

1st row청춘병법 아미아미
2nd row꼬마버스 타요
3rd row에그보이 코루
4th row구름빵
5th row돼지토끼
ValueCountFrequency (%)
시즌 92
 
1.3%
the 78
 
1.1%
45
 
0.6%
안녕 39
 
0.5%
이야기 28
 
0.4%
헬로 26
 
0.4%
내 24
 
0.3%
친구들 23
 
0.3%
my 22
 
0.3%
극장판 21
 
0.3%
Other values (4575) 6849
94.5%
2023-12-12T12:18:11.388924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4010
 
10.4%
) 1396
 
3.6%
( 1396
 
3.6%
1 1249
 
3.3%
화 1041
 
2.7%
2 843
 
2.2%
~ 833
 
2.2%
e 824
 
2.1%
o 614
 
1.6%
이 556
 
1.4%
Other values (948) 25667
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17427
45.3%
Lowercase Letter 5937
 
15.4%
Space Separator 4010
 
10.4%
Decimal Number 3825
 
10.0%
Uppercase Letter 2849
 
7.4%
Close Punctuation 1398
 
3.6%
Open Punctuation 1398
 
3.6%
Math Symbol 894
 
2.3%
Other Punctuation 545
 
1.4%
Dash Punctuation 117
 
0.3%
Other values (5) 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 1041
 
6.0%
이 556
 
3.2%
스 360
 
2.1%
시 329
 
1.9%
리 323
 
1.9%
의 312
 
1.8%
기 238
 
1.4%
즌 230
 
1.3%
마 216
 
1.2%
로 213
 
1.2%
Other values (853) 13609
78.1%
Lowercase Letter
ValueCountFrequency (%)
e 824
13.9%
o 614
 
10.3%
a 485
 
8.2%
r 425
 
7.2%
i 407
 
6.9%
n 403
 
6.8%
t 401
 
6.8%
l 315
 
5.3%
s 265
 
4.5%
h 259
 
4.4%
Other values (16) 1539
25.9%
Uppercase Letter
ValueCountFrequency (%)
T 229
 
8.0%
O 207
 
7.3%
S 192
 
6.7%
A 186
 
6.5%
E 174
 
6.1%
R 167
 
5.9%
C 150
 
5.3%
M 149
 
5.2%
D 140
 
4.9%
N 136
 
4.8%
Other values (16) 1119
39.3%
Other Punctuation
ValueCountFrequency (%)
, 220
40.4%
! 138
25.3%
: 57
 
10.5%
. 47
 
8.6%
? 32
 
5.9%
' 15
 
2.8%
& 13
 
2.4%
/ 9
 
1.7%
… 4
 
0.7%
" 4
 
0.7%
Other values (4) 6
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 1249
32.7%
2 843
22.0%
3 362
 
9.5%
6 335
 
8.8%
4 256
 
6.7%
5 253
 
6.6%
0 187
 
4.9%
7 133
 
3.5%
8 111
 
2.9%
9 96
 
2.5%
Math Symbol
ValueCountFrequency (%)
~ 833
93.2%
∼ 50
 
5.6%
> 5
 
0.6%
< 5
 
0.6%
= 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1396
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1396
99.9%
[ 2
 
0.1%
Final Punctuation
ValueCountFrequency (%)
’ 9
81.8%
” 2
 
18.2%
Initial Punctuation
ValueCountFrequency (%)
“ 2
50.0%
‘ 2
50.0%
Other Symbol
ValueCountFrequency (%)
° 1
50.0%
℃ 1
50.0%
Space Separator
ValueCountFrequency (%)
4010
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17421
45.3%
Common 12216
31.8%
Latin 8786
22.9%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 1041
 
6.0%
이 556
 
3.2%
스 360
 
2.1%
시 329
 
1.9%
리 323
 
1.9%
의 312
 
1.8%
기 238
 
1.4%
즌 230
 
1.3%
마 216
 
1.2%
로 213
 
1.2%
Other values (847) 13603
78.1%
Latin
ValueCountFrequency (%)
e 824
 
9.4%
o 614
 
7.0%
a 485
 
5.5%
r 425
 
4.8%
i 407
 
4.6%
n 403
 
4.6%
t 401
 
4.6%
l 315
 
3.6%
s 265
 
3.0%
h 259
 
2.9%
Other values (42) 4388
49.9%
Common
ValueCountFrequency (%)
4010
32.8%
) 1396
 
11.4%
( 1396
 
11.4%
1 1249
 
10.2%
2 843
 
6.9%
~ 833
 
6.8%
3 362
 
3.0%
6 335
 
2.7%
4 256
 
2.1%
5 253
 
2.1%
Other values (33) 1283
 
10.5%
Han
ValueCountFrequency (%)
殘 1
16.7%
像 1
16.7%
滔 1
16.7%
愛 1
16.7%
緣 1
16.7%
古 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20930
54.5%
Hangul 17417
45.3%
Math Operators 50
 
0.1%
Punctuation 19
 
< 0.1%
CJK 6
 
< 0.1%
Compat Jamo 4
 
< 0.1%
None 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4010
19.2%
) 1396
 
6.7%
( 1396
 
6.7%
1 1249
 
6.0%
2 843
 
4.0%
~ 833
 
4.0%
e 824
 
3.9%
o 614
 
2.9%
a 485
 
2.3%
r 425
 
2.0%
Other values (76) 8855
42.3%
Hangul
ValueCountFrequency (%)
화 1041
 
6.0%
이 556
 
3.2%
스 360
 
2.1%
시 329
 
1.9%
리 323
 
1.9%
의 312
 
1.8%
기 238
 
1.4%
즌 230
 
1.3%
마 216
 
1.2%
로 213
 
1.2%
Other values (843) 13599
78.1%
Math Operators
ValueCountFrequency (%)
∼ 50
100.0%
Punctuation
ValueCountFrequency (%)
’ 9
47.4%
… 4
21.1%
” 2
 
10.5%
“ 2
 
10.5%
‘ 2
 
10.5%
CJK
ValueCountFrequency (%)
殘 1
16.7%
像 1
16.7%
滔 1
16.7%
愛 1
16.7%
緣 1
16.7%
古 1
16.7%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
25.0%
ㅗ 1
25.0%
ㄹ 1
25.0%
ㅇ 1
25.0%
None
ValueCountFrequency (%)
° 1
50.0%
． 1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

신청인
Text

Distinct1650
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:18:11.757965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length8.7489991
Min length1

Characters and Unicode

Total characters28408
Distinct characters444
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1189 ?
Unique (%)36.6%

Sample

1st row춘천문화방송㈜
2nd row㈜아이코닉스엔터테인먼트
3rd row㈜엔터티브
4th row㈜디피에스
5th row알지애니메이션스튜디오
ValueCountFrequency (%)
주식회사 117
 
3.3%
사)한국독립애니메이션협회 83
 
2.4%
㈜아이코닉스 36
 
1.0%
㈜초이락컨텐츠팩토리 36
 
1.0%
㈜디자인에그 27
 
0.8%
스튜디오 27
 
0.8%
㈜아툰즈 27
 
0.8%
초이락컨텐츠팩토리 26
 
0.7%
최ㅇ규 26
 
0.7%
㈜에스에이엠지엔터테인먼트 25
 
0.7%
Other values (1665) 3089
87.8%
2023-12-12T12:18:12.330598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1751
 
6.2%
( 1749
 
6.2%
이 1572
 
5.5%
ㅇ 1510
 
5.3%
니 872
 
3.1%
㈜ 867
 
3.1%
애 823
 
2.9%
회 808
 
2.8%
사 783
 
2.8%
션 723
 
2.5%
Other values (434) 16950
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23111
81.4%
Close Punctuation 1751
 
6.2%
Open Punctuation 1749
 
6.2%
Other Symbol 867
 
3.1%
Other Punctuation 366
 
1.3%
Space Separator 272
 
1.0%
Uppercase Letter 222
 
0.8%
Lowercase Letter 50
 
0.2%
Dash Punctuation 14
 
< 0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1572
 
6.8%
ㅇ 1510
 
6.5%
니 872
 
3.8%
애 823
 
3.6%
회 808
 
3.5%
사 783
 
3.4%
션 723
 
3.1%
메 715
 
3.1%
한 709
 
3.1%
국 687
 
3.0%
Other values (393) 13909
60.2%
Uppercase Letter
ValueCountFrequency (%)
O 28
12.6%
P 27
12.2%
K 20
9.0%
D 20
9.0%
N 17
7.7%
I 16
7.2%
C 16
7.2%
U 14
 
6.3%
T 14
 
6.3%
R 14
 
6.3%
Other values (7) 36
16.2%
Lowercase Letter
ValueCountFrequency (%)
o 10
20.0%
r 6
12.0%
d 5
10.0%
u 5
10.0%
c 5
10.0%
t 5
10.0%
i 5
10.0%
n 5
10.0%
e 1
 
2.0%
m 1
 
2.0%
Other values (2) 2
 
4.0%
Decimal Number
ValueCountFrequency (%)
9 3
50.0%
5 1
 
16.7%
1 1
 
16.7%
3 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 355
97.0%
, 10
 
2.7%
〃 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1751
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1749
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 867
100.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23978
84.4%
Common 4158
 
14.6%
Latin 272
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1572
 
6.6%
ㅇ 1510
 
6.3%
니 872
 
3.6%
㈜ 867
 
3.6%
애 823
 
3.4%
회 808
 
3.4%
사 783
 
3.3%
션 723
 
3.0%
메 715
 
3.0%
한 709
 
3.0%
Other values (394) 14596
60.9%
Latin
ValueCountFrequency (%)
O 28
 
10.3%
P 27
 
9.9%
K 20
 
7.4%
D 20
 
7.4%
N 17
 
6.2%
I 16
 
5.9%
C 16
 
5.9%
U 14
 
5.1%
T 14
 
5.1%
R 14
 
5.1%
Other values (19) 86
31.6%
Common
ValueCountFrequency (%)
) 1751
42.1%
( 1749
42.1%
* 355
 
8.5%
272
 
6.5%
- 14
 
0.3%
, 10
 
0.2%
9 3
 
0.1%
5 1
 
< 0.1%
〃 1
 
< 0.1%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21601
76.0%
ASCII 4429
 
15.6%
Compat Jamo 1510
 
5.3%
None 868
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1751
39.5%
( 1749
39.5%
* 355
 
8.0%
272
 
6.1%
O 28
 
0.6%
P 27
 
0.6%
K 20
 
0.5%
D 20
 
0.5%
N 17
 
0.4%
I 16
 
0.4%
Other values (29) 174
 
3.9%
Hangul
ValueCountFrequency (%)
이 1572
 
7.3%
니 872
 
4.0%
애 823
 
3.8%
회 808
 
3.7%
사 783
 
3.6%
션 723
 
3.3%
메 715
 
3.3%
한 709
 
3.3%
국 687
 
3.2%
협 660
 
3.1%
Other values (392) 13249
61.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1510
100.0%
None
ValueCountFrequency (%)
㈜ 867
99.9%
〃 1
 
0.1%

편당분량
Text

Distinct707
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
2023-12-12T12:18:12.798215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.658454
Min length2

Characters and Unicode

Total characters15126
Distinct characters17
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

Unique251 ?
Unique (%)7.7%

Sample

1st row1시간 6분 51초
2nd row11분
3rd row25분
4th row7분 20초
5th row5분 21초
ValueCountFrequency (%)
5분 365
 
7.1%
11분 327
 
6.3%
3분 322
 
6.3%
4분 309
 
6.0%
6분 247
 
4.8%
2분 237
 
4.6%
15분 209
 
4.1%
7분 200
 
3.9%
30초 197
 
3.8%
1분 148
 
2.9%
Other values (140) 2589
50.3%
2023-12-12T12:18:13.403697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
분 3243
21.4%
1905
12.6%
초 1900
12.6%
1 1751
11.6%
3 1144
 
7.6%
5 1131
 
7.5%
2 1052
 
7.0%
4 822
 
5.4%
0 745
 
4.9%
6 424
 
2.8%
Other values (7) 1009
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8050
53.2%
Other Letter 5171
34.2%
Space Separator 1905
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1751
21.8%
3 1144
14.2%
5 1131
14.0%
2 1052
13.1%
4 822
10.2%
0 745
9.3%
6 424
 
5.3%
7 390
 
4.8%
8 333
 
4.1%
9 258
 
3.2%
Other Letter
ValueCountFrequency (%)
분 3243
62.7%
초 1900
36.7%
시 13
 
0.3%
간 13
 
0.3%
굽 1
 
< 0.1%
문 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9955
65.8%
Hangul 5171
34.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1905
19.1%
1 1751
17.6%
3 1144
11.5%
5 1131
11.4%
2 1052
10.6%
4 822
8.3%
0 745
 
7.5%
6 424
 
4.3%
7 390
 
3.9%
8 333
 
3.3%
Hangul
ValueCountFrequency (%)
분 3243
62.7%
초 1900
36.7%
시 13
 
0.3%
간 13
 
0.3%
굽 1
 
< 0.1%
문 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9955
65.8%
Hangul 5171
34.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
분 3243
62.7%
초 1900
36.7%
시 13
 
0.3%
간 13
 
0.3%
굽 1
 
< 0.1%
문 1
 
< 0.1%
ASCII
ValueCountFrequency (%)
1905
19.1%
1 1751
17.6%
3 1144
11.5%
5 1131
11.4%
2 1052
10.6%
4 822
8.3%
0 745
 
7.5%
6 424
 
4.3%
7 390
 
3.9%
8 333
 
3.3%

편수
Real number (ℝ)

Distinct64
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8478596
Minimum1
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.7 KiB
2023-12-12T12:18:13.640169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q37.5
95-th percentile28
Maximum247
Range246
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation12.816358
Coefficient of variation (CV)1.871586
Kurtosis50.954423
Mean6.8478596
Median Absolute Deviation (MAD)0
Skewness4.8488089
Sum22235
Variance164.25904
MonotonicityNot monotonic
2023-12-12T12:18:13.842527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2137
65.8%
26 143
 
4.4%
13 91
 
2.8%
4 84
 
2.6%
6 66
 
2.0%
12 56
 
1.7%
10 56
 
1.7%
3 47
 
1.4%
8 46
 
1.4%
5 38
 
1.2%
Other values (54) 483
 
14.9%
ValueCountFrequency (%)
1 2137
65.8%
2 34
 
1.0%
3 47
 
1.4%
4 84
 
2.6%
5 38
 
1.2%
6 66
 
2.0%
7 29
 
0.9%
8 46
 
1.4%
9 22
 
0.7%
10 56
 
1.7%
ValueCountFrequency (%)
247 1
 
< 0.1%
140 1
 
< 0.1%
130 1
 
< 0.1%
104 2
0.1%
100 1
 
< 0.1%
82 1
 
< 0.1%
78 4
0.1%
76 1
 
< 0.1%
75 3
0.1%
66 1
 
< 0.1%

제작형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
국내단독
2843 
해외합작
 
210
국내합작
 
194

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국내합작
2nd row국내합작
3rd row국내단독
4th row해외합작
5th row국내단독

Common Values

ValueCountFrequency (%)
국내단독 2843
87.6%
해외합작 210
 
6.5%
국내합작 194
 
6.0%

Length

2023-12-12T12:18:14.421463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:14.582346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내단독 2843
87.6%
해외합작 210
 
6.5%
국내합작 194
 
6.0%

판정일자
Date

Distinct142
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size25.5 KiB
Minimum2010-11-30 00:00:00
Maximum2023-08-31 00:00:00
2023-12-12T12:18:14.777616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:14.985703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T12:18:07.739363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:07.492829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:07.842932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:07.616668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:18:15.149897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번편수제작형태
연번1.0000.0310.330
편수0.0311.0000.339
제작형태0.3300.3391.000
2023-12-12T12:18:15.269363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번편수제작형태
연번1.0000.0270.209
편수0.0271.0000.242
제작형태0.2090.2421.000

Missing values

2023-12-12T12:18:08.029893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:18:08.183844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번접수번호접수일자작품명신청인편당분량편수제작형태판정일자
012010-11-0012010-11-02청춘병법 아미아미춘천문화방송㈜1시간 6분 51초1국내합작2010-11-30
122010-11-0022010-11-05꼬마버스 타요㈜아이코닉스엔터테인먼트11분26국내합작2010-11-30
232010-11-0032010-11-09에그보이 코루㈜엔터티브25분15국내단독2010-11-30
342010-11-0042010-11-09구름빵㈜디피에스7분 20초78해외합작2010-11-30
452010-11-0052010-11-09돼지토끼알지애니메이션스튜디오5분 21초1국내단독2010-11-30
562010-11-0062010-11-10달, 바라기어뮤즈4분 9초1국내단독2010-11-30
672010-11-0072010-11-10미안하다어뮤즈6분1국내단독2010-11-30
782010-11-0082010-11-10뜨거운 식탁이ㅇ윤10분1국내단독2010-11-30
892010-11-0092010-11-10봄㈜이노디스5분 35초1국내단독2010-11-30
9102010-11-0102010-11-10다카포㈜이노디스3분 32초1국내단독2010-11-30
연번접수번호접수일자작품명신청인편당분량편수제작형태판정일자
323732382023-1832023-08-25신비아파트 특별판 : 조선퇴마실록(1-4화)㈜씨제이이엔엠25분4국내단독2023-08-31
323832392023-1842023-08-25고고 캐치고! 바니몽 시즌 1(1-6화)샌드박스네트워크5분 16초6국내단독2023-08-31
323932402023-1852023-08-25건축가 A㈜브이씨알웍스25분1국내단독2023-08-31
324032412023-1862023-08-25각질문*진6분 42초1국내단독2023-08-31
324132422023-1872023-08-25사라지는 것들김*수10분 30초1국내단독2023-08-31
324232432023-1882023-08-25쿠키커피도시락강*지13분1국내단독2023-08-31
324332442023-1892023-08-25목적지최*온8분 21초1국내단독2023-08-31
324432452023-1902023-08-25We박*아3분1국내단독2023-08-31
324532462023-1912023-08-25안녕애벌레오*아7분 40초1국내단독2023-08-31
324632472023-1922023-08-25저주소년김*만13분 33초1국내단독2023-08-31