Overview

Dataset statistics

Number of variables24
Number of observations657
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.5 KiB
Average record size in memory197.2 B

Variable types

Numeric2
Categorical13
Text8
Boolean1

Dataset

Description공공누리시스템의 추천공공저작물(영상), 저작물코드, 상위코드, 상위코드명, 중위코드, 중위코드명, 하위코드, 하위코드명, 저작물명, 촬영년도, 촬영기관코드, 촬영기관명, 소장기관명, 저작물이용유형코드, 썸네일파일명, 썸네일경로, 썸네일웹파일경로, 파일명, 원본파일명, 원본파일경로, 삭제여부, 조회수, 저작물구분코드, 저작물구분명, 키워드명 항목을 포함하고 있습니다.
Author한국문화정보원
URLhttps://www.data.go.kr/data/15088688/fileData.do

Alerts

삭제여부 has constant value ""Constant
저작물구분코드 has constant value ""Constant
저작물구분명 has constant value ""Constant
상위코드 is highly imbalanced (87.7%)Imbalance
상위코드명 is highly imbalanced (87.7%)Imbalance
중위코드 is highly imbalanced (76.3%)Imbalance
중위코드명 is highly imbalanced (76.3%)Imbalance
하위코드 is highly imbalanced (76.3%)Imbalance
하위코드명 is highly imbalanced (76.3%)Imbalance
촬영년도 is highly imbalanced (81.8%)Imbalance
촬영기관코드 is highly imbalanced (76.3%)Imbalance
촬영기관명 is highly imbalanced (76.3%)Imbalance
소장기관명 is highly imbalanced (76.3%)Imbalance
저작물이용유형코드 is highly imbalanced (74.6%)Imbalance
저작물코드 has unique valuesUnique
저작물명 has unique valuesUnique
썸네일파일명 has unique valuesUnique
썸네일경로 has unique valuesUnique
썸네일웹파일경로 has unique valuesUnique
파일명 has unique valuesUnique
원본파일명 has unique valuesUnique
원본파일경로 has unique valuesUnique

Reproduction

Analysis started2024-04-18 03:10:13.603204
Analysis finished2024-04-18 03:10:14.360185
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

저작물코드
Real number (ℝ)

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16751.279
Minimum1
Maximum32882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-18T12:10:14.427813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16918.8
Q117050
median17214
Q317378
95-th percentile17509.2
Maximum32882
Range32881
Interquartile range (IQR)328

Descriptive statistics

Standard deviation4068.6951
Coefficient of variation (CV)0.24288863
Kurtosis13.492487
Mean16751.279
Median Absolute Deviation (MAD)164
Skewness-1.9302355
Sum11005590
Variance16554280
MonotonicityStrictly increasing
2024-04-18T12:10:14.560960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
17318 1
 
0.2%
17320 1
 
0.2%
17321 1
 
0.2%
17322 1
 
0.2%
17323 1
 
0.2%
17324 1
 
0.2%
17325 1
 
0.2%
17326 1
 
0.2%
17327 1
 
0.2%
Other values (647) 647
98.5%
ValueCountFrequency (%)
1 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
11 1
0.2%
ValueCountFrequency (%)
32882 1
0.2%
32881 1
0.2%
32880 1
0.2%
32879 1
0.2%
32878 1
0.2%
32877 1
0.2%
32876 1
0.2%
32875 1
0.2%
32874 1
0.2%
32873 1
0.2%

상위코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
A001
646 
A002
 
11

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA001
2nd rowA001
3rd rowA001
4th rowA001
5th rowA001

Common Values

ValueCountFrequency (%)
A001 646
98.3%
A002 11
 
1.7%

Length

2024-04-18T12:10:14.688277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:14.773801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a001 646
98.3%
a002 11
 
1.7%

상위코드명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
키워드 저작물
646 
지역별 관광지
 
11

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row키워드 저작물
2nd row키워드 저작물
3rd row키워드 저작물
4th row키워드 저작물
5th row키워드 저작물

Common Values

ValueCountFrequency (%)
키워드 저작물 646
98.3%
지역별 관광지 11
 
1.7%

Length

2024-04-18T12:10:14.868253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:14.956201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
키워드 646
49.2%
저작물 646
49.2%
지역별 11
 
0.8%
관광지 11
 
0.8%

중위코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
B019
618 
B002
 
28
B011
 
11

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB002
2nd rowB002
3rd rowB002
4th rowB002
5th rowB002

Common Values

ValueCountFrequency (%)
B019 618
94.1%
B002 28
 
4.3%
B011 11
 
1.7%

Length

2024-04-18T12:10:15.062134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:15.152408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b019 618
94.1%
b002 28
 
4.3%
b011 11
 
1.7%

중위코드명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
국립국악원
618 
이야기할머니
 
28
인천광역시
 
11

Length

Max length6
Median length5
Mean length5.042618
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국립국악원 618
94.1%
이야기할머니 28
 
4.3%
인천광역시 11
 
1.7%

Length

2024-04-18T12:10:15.241999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:15.327617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국립국악원 618
94.1%
이야기할머니 28
 
4.3%
인천광역시 11
 
1.7%

하위코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
C002
618 
C001
 
28
C011
 
11

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC001
2nd rowC001
3rd rowC001
4th rowC001
5th rowC001

Common Values

ValueCountFrequency (%)
C002 618
94.1%
C001 28
 
4.3%
C011 11
 
1.7%

Length

2024-04-18T12:10:15.434164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:15.537072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c002 618
94.1%
c001 28
 
4.3%
c011 11
 
1.7%

하위코드명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
영상
618 
이야기할머니
 
28
인천관광동영상
 
11

Length

Max length7
Median length2
Mean length2.2541857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영상 618
94.1%
이야기할머니 28
 
4.3%
인천관광동영상 11
 
1.7%

Length

2024-04-18T12:10:15.631273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:15.724465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영상 618
94.1%
이야기할머니 28
 
4.3%
인천관광동영상 11
 
1.7%

저작물명
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:15.963638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length24.202435
Min length2

Characters and Unicode

Total characters15901
Distinct characters180
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)100.0%

Sample

1st row거문고로만든떡
2nd row까마귀에게은혜갚은신라소지왕
3rd row나물밥의소중함을알려준최영
4th row농부의두아들
5th row단한가지의지혜
ValueCountFrequency (%)
창작을 618
18.0%
위한 618
18.0%
이해와 618
18.0%
국악기 618
18.0%
활용 301
8.8%
ⅱ：양금(12 1
 
< 0.1%
ⅱ：양금(2 1
 
< 0.1%
ⅱ：양금(13 1
 
< 0.1%
ⅱ：소금(음원)(2 1
 
< 0.1%
ⅱ：소금(음원)(4 1
 
< 0.1%
Other values (652) 652
19.0%
2024-04-18T12:10:16.329623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2773
 
17.4%
해 679
 
4.3%
( 638
 
4.0%
) 638
 
4.0%
이 628
 
3.9%
한 623
 
3.9%
을 621
 
3.9%
기 621
 
3.9%
와 621
 
3.9%
작 620
 
3.9%
Other values (170) 7439
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9808
61.7%
Space Separator 2773
 
17.4%
Decimal Number 1125
 
7.1%
Open Punctuation 638
 
4.0%
Close Punctuation 638
 
4.0%
Other Punctuation 618
 
3.9%
Letter Number 301
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 679
 
6.9%
이 628
 
6.4%
한 623
 
6.4%
을 621
 
6.3%
기 621
 
6.3%
와 621
 
6.3%
작 620
 
6.3%
용 619
 
6.3%
창 618
 
6.3%
위 618
 
6.3%
Other values (155) 3540
36.1%
Decimal Number
ValueCountFrequency (%)
1 220
19.6%
2 164
14.6%
3 137
12.2%
4 123
10.9%
5 97
8.6%
6 82
 
7.3%
7 80
 
7.1%
8 79
 
7.0%
9 78
 
6.9%
0 65
 
5.8%
Space Separator
ValueCountFrequency (%)
2773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 638
100.0%
Close Punctuation
ValueCountFrequency (%)
) 638
100.0%
Other Punctuation
ValueCountFrequency (%)
： 618
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9808
61.7%
Common 5792
36.4%
Latin 301
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 679
 
6.9%
이 628
 
6.4%
한 623
 
6.4%
을 621
 
6.3%
기 621
 
6.3%
와 621
 
6.3%
작 620
 
6.3%
용 619
 
6.3%
창 618
 
6.3%
위 618
 
6.3%
Other values (155) 3540
36.1%
Common
ValueCountFrequency (%)
2773
47.9%
( 638
 
11.0%
) 638
 
11.0%
： 618
 
10.7%
1 220
 
3.8%
2 164
 
2.8%
3 137
 
2.4%
4 123
 
2.1%
5 97
 
1.7%
6 82
 
1.4%
Other values (4) 302
 
5.2%
Latin
ValueCountFrequency (%)
Ⅱ 301
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9808
61.7%
ASCII 5174
32.5%
None 618
 
3.9%
Number Forms 301
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2773
53.6%
( 638
 
12.3%
) 638
 
12.3%
1 220
 
4.3%
2 164
 
3.2%
3 137
 
2.6%
4 123
 
2.4%
5 97
 
1.9%
6 82
 
1.6%
7 80
 
1.5%
Other values (3) 222
 
4.3%
Hangul
ValueCountFrequency (%)
해 679
 
6.9%
이 628
 
6.4%
한 623
 
6.4%
을 621
 
6.3%
기 621
 
6.3%
와 621
 
6.3%
작 620
 
6.3%
용 619
 
6.3%
창 618
 
6.3%
위 618
 
6.3%
Other values (155) 3540
36.1%
None
ValueCountFrequency (%)
： 618
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 301
100.0%

촬영년도
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2020
629 
2016
 
21
2015
 
7

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016
2nd row2016
3rd row2016
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2020 629
95.7%
2016 21
 
3.2%
2015 7
 
1.1%

Length

2024-04-18T12:10:16.445858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:16.538954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 629
95.7%
2016 21
 
3.2%
2015 7
 
1.1%

촬영기관코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
50250627
618 
60700908
 
28
30590000
 
11

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60700908
2nd row60700908
3rd row60700908
4th row60700908
5th row60700908

Common Values

ValueCountFrequency (%)
50250627 618
94.1%
60700908 28
 
4.3%
30590000 11
 
1.7%

Length

2024-04-18T12:10:16.635827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:16.722824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50250627 618
94.1%
60700908 28
 
4.3%
30590000 11
 
1.7%

촬영기관명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
국립국악원
618 
한국국학진흥원
 
28
인천광역시
 
11

Length

Max length7
Median length5
Mean length5.0852359
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국립국악원 618
94.1%
한국국학진흥원 28
 
4.3%
인천광역시 11
 
1.7%

Length

2024-04-18T12:10:16.824518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:16.915955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국립국악원 618
94.1%
한국국학진흥원 28
 
4.3%
인천광역시 11
 
1.7%

소장기관명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
국립국악원 아카이브
618 
한국국학진흥원
 
28
인천광역시
 
11

Length

Max length10
Median length10
Mean length9.7884323
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국립국악원 아카이브 618
94.1%
한국국학진흥원 28
 
4.3%
인천광역시 11
 
1.7%

Length

2024-04-18T12:10:17.023407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:17.113502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국립국악원 618
48.5%
아카이브 618
48.5%
한국국학진흥원 28
 
2.2%
인천광역시 11
 
0.9%

저작물이용유형코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
4
629 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
4 629
95.7%
1 28
 
4.3%

Length

2024-04-18T12:10:17.201584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:17.283052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 629
95.7%
1 28
 
4.3%

썸네일파일명
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:17.536812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length8
Mean length8.3926941
Min length7

Characters and Unicode

Total characters5514
Distinct characters155
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)100.0%

Sample

1st row썸네일_거문고로만든떡.jpg
2nd row썸네일_까마귀에게은혜갚은신라소지왕.jpg
3rd row썸네일_나물밥의소중함을알려준최영.jpg
4th row썸네일_농부의두아들_01.jpg
5th row썸네일_단한가지의지혜.jpg
ValueCountFrequency (%)
썸네일_거문고로만든떡.jpg 1
 
0.2%
2678.jpg 1
 
0.2%
2688.jpg 1
 
0.2%
2681.jpg 1
 
0.2%
2682.jpg 1
 
0.2%
2683.jpg 1
 
0.2%
2684.jpg 1
 
0.2%
2685.jpg 1
 
0.2%
2686.jpg 1
 
0.2%
2687.jpg 1
 
0.2%
Other values (647) 647
98.5%
2024-04-18T12:10:17.974849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 766
13.9%
. 657
11.9%
g 657
11.9%
p 657
11.9%
j 657
11.9%
7 228
 
4.1%
8 226
 
4.1%
5 223
 
4.0%
6 223
 
4.0%
4 222
 
4.0%
Other values (145) 998
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2507
45.5%
Lowercase Letter 1982
35.9%
Other Punctuation 657
 
11.9%
Other Letter 318
 
5.8%
Connector Punctuation 50
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 28
 
8.8%
네 28
 
8.8%
썸 28
 
8.8%
의 11
 
3.5%
이 9
 
2.8%
지 8
 
2.5%
은 7
 
2.2%
아 5
 
1.6%
한 5
 
1.6%
가 5
 
1.6%
Other values (129) 184
57.9%
Decimal Number
ValueCountFrequency (%)
2 766
30.6%
7 228
 
9.1%
8 226
 
9.0%
5 223
 
8.9%
6 223
 
8.9%
4 222
 
8.9%
3 222
 
8.9%
1 137
 
5.5%
0 134
 
5.3%
9 126
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
g 657
33.1%
p 657
33.1%
j 657
33.1%
v 11
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 657
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3214
58.3%
Latin 1982
35.9%
Hangul 318
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 28
 
8.8%
네 28
 
8.8%
썸 28
 
8.8%
의 11
 
3.5%
이 9
 
2.8%
지 8
 
2.5%
은 7
 
2.2%
아 5
 
1.6%
한 5
 
1.6%
가 5
 
1.6%
Other values (129) 184
57.9%
Common
ValueCountFrequency (%)
2 766
23.8%
. 657
20.4%
7 228
 
7.1%
8 226
 
7.0%
5 223
 
6.9%
6 223
 
6.9%
4 222
 
6.9%
3 222
 
6.9%
1 137
 
4.3%
0 134
 
4.2%
Other values (2) 176
 
5.5%
Latin
ValueCountFrequency (%)
g 657
33.1%
p 657
33.1%
j 657
33.1%
v 11
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5196
94.2%
Hangul 318
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 766
14.7%
. 657
12.6%
g 657
12.6%
p 657
12.6%
j 657
12.6%
7 228
 
4.4%
8 226
 
4.3%
5 223
 
4.3%
6 223
 
4.3%
4 222
 
4.3%
Other values (6) 680
13.1%
Hangul
ValueCountFrequency (%)
일 28
 
8.8%
네 28
 
8.8%
썸 28
 
8.8%
의 11
 
3.5%
이 9
 
2.8%
지 8
 
2.5%
은 7
 
2.2%
아 5
 
1.6%
한 5
 
1.6%
가 5
 
1.6%
Other values (129) 184
57.9%

썸네일경로
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:18.284993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length63
Mean length63.534247
Min length63

Characters and Unicode

Total characters41742
Distinct characters185
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

Unique657 ?
Unique (%)100.0%

Sample

1st row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_거문고로만든떡.jpg
2nd row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_까마귀에게은혜갚은신라소지왕.jpg
3rd row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_나물밥의소중함을알려준최영.jpg
4th row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_농부의두아들.jpg
5th row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_단한가지의지혜.jpg
ValueCountFrequency (%)
nas/open/upload_kogl/upload_recommend/특별 618
48.5%
테마전/국립국악원/영상/2687.jpg 1
 
0.1%
테마전/국립국악원/영상/2680.jpg 1
 
0.1%
테마전/국립국악원/영상/2688.jpg 1
 
0.1%
테마전/국립국악원/영상/2681.jpg 1
 
0.1%
테마전/국립국악원/영상/2682.jpg 1
 
0.1%
테마전/국립국악원/영상/2683.jpg 1
 
0.1%
테마전/국립국악원/영상/2684.jpg 1
 
0.1%
테마전/국립국악원/영상/2685.jpg 1
 
0.1%
테마전/국립국악원/영상/2686.jpg 1
 
0.1%
Other values (648) 648
50.8%
2024-04-18T12:10:18.710199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5256
 
12.6%
o 3285
 
7.9%
p 2628
 
6.3%
e 1971
 
4.7%
d 1971
 
4.7%
l 1971
 
4.7%
n 1971
 
4.7%
a 1971
 
4.7%
_ 1354
 
3.2%
u 1314
 
3.1%
Other values (175) 18050
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23006
55.1%
Other Letter 8364
 
20.0%
Other Punctuation 5913
 
14.2%
Decimal Number 2487
 
6.0%
Connector Punctuation 1354
 
3.2%
Space Separator 618
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.7%
특 646
7.7%
테 646
7.7%
전 646
7.7%
영 630
7.5%
상 629
7.5%
원 619
7.4%
립 618
7.4%
Other values (145) 1388
16.6%
Lowercase Letter
ValueCountFrequency (%)
o 3285
14.3%
p 2628
11.4%
e 1971
8.6%
d 1971
8.6%
l 1971
8.6%
n 1971
8.6%
a 1971
8.6%
u 1314
 
5.7%
g 1314
 
5.7%
m 1314
 
5.7%
Other values (6) 3296
14.3%
Decimal Number
ValueCountFrequency (%)
2 766
30.8%
7 228
 
9.2%
8 226
 
9.1%
5 223
 
9.0%
6 223
 
9.0%
3 222
 
8.9%
4 222
 
8.9%
1 127
 
5.1%
9 126
 
5.1%
0 124
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 5256
88.9%
. 657
 
11.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1354
100.0%
Space Separator
ValueCountFrequency (%)
618
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23006
55.1%
Common 10372
24.8%
Hangul 8364
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.7%
특 646
7.7%
테 646
7.7%
전 646
7.7%
영 630
7.5%
상 629
7.5%
원 619
7.4%
립 618
7.4%
Other values (145) 1388
16.6%
Latin
ValueCountFrequency (%)
o 3285
14.3%
p 2628
11.4%
e 1971
8.6%
d 1971
8.6%
l 1971
8.6%
n 1971
8.6%
a 1971
8.6%
u 1314
 
5.7%
g 1314
 
5.7%
m 1314
 
5.7%
Other values (6) 3296
14.3%
Common
ValueCountFrequency (%)
/ 5256
50.7%
_ 1354
 
13.1%
2 766
 
7.4%
. 657
 
6.3%
618
 
6.0%
7 228
 
2.2%
8 226
 
2.2%
5 223
 
2.2%
6 223
 
2.2%
3 222
 
2.1%
Other values (4) 599
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33378
80.0%
Hangul 8364
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5256
15.7%
o 3285
 
9.8%
p 2628
 
7.9%
e 1971
 
5.9%
d 1971
 
5.9%
l 1971
 
5.9%
n 1971
 
5.9%
a 1971
 
5.9%
_ 1354
 
4.1%
u 1314
 
3.9%
Other values (20) 9686
29.0%
Hangul
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.7%
특 646
7.7%
테 646
7.7%
전 646
7.7%
영 630
7.5%
상 629
7.5%
원 619
7.4%
립 618
7.4%
Other values (145) 1388
16.6%

썸네일웹파일경로
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:18.954173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length42
Mean length42.534247
Min length42

Characters and Unicode

Total characters27945
Distinct characters183
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

Unique657 ?
Unique (%)100.0%

Sample

1st row/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_거문고로만든떡.jpg
2nd row/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_까마귀에게은혜갚은신라소지왕.jpg
3rd row/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_나물밥의소중함을알려준최영.jpg
4th row/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_농부의두아들.jpg
5th row/upload_recommend/특별테마전/이야기할머니/이야기할머니/썸네일_단한가지의지혜.jpg
ValueCountFrequency (%)
upload_recommend/특별 618
48.5%
테마전/국립국악원/영상/2687.jpg 1
 
0.1%
테마전/국립국악원/영상/2680.jpg 1
 
0.1%
테마전/국립국악원/영상/2688.jpg 1
 
0.1%
테마전/국립국악원/영상/2681.jpg 1
 
0.1%
테마전/국립국악원/영상/2682.jpg 1
 
0.1%
테마전/국립국악원/영상/2683.jpg 1
 
0.1%
테마전/국립국악원/영상/2684.jpg 1
 
0.1%
테마전/국립국악원/영상/2685.jpg 1
 
0.1%
테마전/국립국악원/영상/2686.jpg 1
 
0.1%
Other values (648) 648
50.8%
2024-04-18T12:10:19.309901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 3285
 
11.8%
p 1314
 
4.7%
o 1314
 
4.7%
d 1314
 
4.7%
e 1314
 
4.7%
m 1314
 
4.7%
국 1236
 
4.4%
2 766
 
2.7%
_ 697
 
2.5%
별 658
 
2.4%
Other values (173) 14733
52.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11837
42.4%
Other Letter 8364
29.9%
Other Punctuation 3942
 
14.1%
Decimal Number 2487
 
8.9%
Connector Punctuation 697
 
2.5%
Space Separator 618
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.7%
테 646
7.7%
특 646
7.7%
전 646
7.7%
영 630
7.5%
상 629
7.5%
원 619
7.4%
립 618
7.4%
Other values (145) 1388
16.6%
Lowercase Letter
ValueCountFrequency (%)
p 1314
11.1%
o 1314
11.1%
d 1314
11.1%
e 1314
11.1%
m 1314
11.1%
g 657
 
5.6%
j 657
 
5.6%
u 657
 
5.6%
n 657
 
5.6%
l 657
 
5.6%
Other values (4) 1982
16.7%
Decimal Number
ValueCountFrequency (%)
2 766
30.8%
7 228
 
9.2%
8 226
 
9.1%
5 223
 
9.0%
6 223
 
9.0%
3 222
 
8.9%
4 222
 
8.9%
1 127
 
5.1%
9 126
 
5.1%
0 124
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 3285
83.3%
. 657
 
16.7%
Connector Punctuation
ValueCountFrequency (%)
_ 697
100.0%
Space Separator
ValueCountFrequency (%)
618
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11837
42.4%
Hangul 8364
29.9%
Common 7744
27.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.7%
테 646
7.7%
특 646
7.7%
전 646
7.7%
영 630
7.5%
상 629
7.5%
원 619
7.4%
립 618
7.4%
Other values (145) 1388
16.6%
Common
ValueCountFrequency (%)
/ 3285
42.4%
2 766
 
9.9%
_ 697
 
9.0%
. 657
 
8.5%
618
 
8.0%
7 228
 
2.9%
8 226
 
2.9%
5 223
 
2.9%
6 223
 
2.9%
3 222
 
2.9%
Other values (4) 599
 
7.7%
Latin
ValueCountFrequency (%)
p 1314
11.1%
o 1314
11.1%
d 1314
11.1%
e 1314
11.1%
m 1314
11.1%
g 657
 
5.6%
j 657
 
5.6%
u 657
 
5.6%
n 657
 
5.6%
l 657
 
5.6%
Other values (4) 1982
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19581
70.1%
Hangul 8364
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 3285
16.8%
p 1314
 
6.7%
o 1314
 
6.7%
d 1314
 
6.7%
e 1314
 
6.7%
m 1314
 
6.7%
2 766
 
3.9%
_ 697
 
3.6%
g 657
 
3.4%
j 657
 
3.4%
Other values (18) 6949
35.5%
Hangul
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.7%
테 646
7.7%
특 646
7.7%
전 646
7.7%
영 630
7.5%
상 629
7.5%
원 619
7.4%
립 618
7.4%
Other values (145) 1388
16.6%

파일명
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:19.585676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length8.2998478
Min length7

Characters and Unicode

Total characters5453
Distinct characters153
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)100.0%

Sample

1st row거문고로만든떡_자막.mp4
2nd row까마귀에게은혜갚은신라소지왕_자막.mp4
3rd row나물밥의소중함을알려준최영_자막.mp4
4th row농부의두아들_영상.mp4
5th row단한가지의지혜_자막.mp4
ValueCountFrequency (%)
거문고로만든떡_자막.mp4 1
 
0.2%
2678.mp4 1
 
0.2%
2688.mp4 1
 
0.2%
2681.mp4 1
 
0.2%
2682.mp4 1
 
0.2%
2683.mp4 1
 
0.2%
2684.mp4 1
 
0.2%
2685.mp4 1
 
0.2%
2686.mp4 1
 
0.2%
2687.mp4 1
 
0.2%
Other values (647) 647
98.5%
2024-04-18T12:10:19.997028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 879
16.1%
2 766
14.0%
. 657
12.0%
p 657
12.0%
m 657
12.0%
7 228
 
4.2%
8 226
 
4.1%
6 223
 
4.1%
5 223
 
4.1%
3 222
 
4.1%
Other values (143) 715
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3142
57.6%
Lowercase Letter 1325
24.3%
Other Punctuation 657
 
12.0%
Other Letter 290
 
5.3%
Connector Punctuation 39
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 18
 
6.2%
막 17
 
5.9%
영 12
 
4.1%
의 11
 
3.8%
상 11
 
3.8%
이 9
 
3.1%
지 8
 
2.8%
은 7
 
2.4%
한 5
 
1.7%
아 5
 
1.7%
Other values (128) 187
64.5%
Decimal Number
ValueCountFrequency (%)
4 879
28.0%
2 766
24.4%
7 228
 
7.3%
8 226
 
7.2%
6 223
 
7.1%
5 223
 
7.1%
3 222
 
7.1%
9 126
 
4.0%
1 126
 
4.0%
0 123
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
p 657
49.6%
m 657
49.6%
v 11
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 657
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3838
70.4%
Latin 1325
 
24.3%
Hangul 290
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 18
 
6.2%
막 17
 
5.9%
영 12
 
4.1%
의 11
 
3.8%
상 11
 
3.8%
이 9
 
3.1%
지 8
 
2.8%
은 7
 
2.4%
한 5
 
1.7%
아 5
 
1.7%
Other values (128) 187
64.5%
Common
ValueCountFrequency (%)
4 879
22.9%
2 766
20.0%
. 657
17.1%
7 228
 
5.9%
8 226
 
5.9%
6 223
 
5.8%
5 223
 
5.8%
3 222
 
5.8%
9 126
 
3.3%
1 126
 
3.3%
Other values (2) 162
 
4.2%
Latin
ValueCountFrequency (%)
p 657
49.6%
m 657
49.6%
v 11
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5163
94.7%
Hangul 290
 
5.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 879
17.0%
2 766
14.8%
. 657
12.7%
p 657
12.7%
m 657
12.7%
7 228
 
4.4%
8 226
 
4.4%
6 223
 
4.3%
5 223
 
4.3%
3 222
 
4.3%
Other values (5) 425
8.2%
Hangul
ValueCountFrequency (%)
자 18
 
6.2%
막 17
 
5.9%
영 12
 
4.1%
의 11
 
3.8%
상 11
 
3.8%
이 9
 
3.1%
지 8
 
2.8%
은 7
 
2.4%
한 5
 
1.7%
아 5
 
1.7%
Other values (128) 187
64.5%

원본파일명
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:20.273500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length8
Mean length8.2998478
Min length7

Characters and Unicode

Total characters5453
Distinct characters153
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique657 ?
Unique (%)100.0%

Sample

1st row거문고로만든떡_자막.mp4
2nd row까마귀에게은혜갚은신라소지왕_자막.mp4
3rd row나물밥의소중함을알려준최영_자막.mp4
4th row농부의두아들_영상.mp4
5th row단한가지의지혜_자막.mp4
ValueCountFrequency (%)
거문고로만든떡_자막.mp4 1
 
0.2%
2678.mp4 1
 
0.2%
2688.mp4 1
 
0.2%
2681.mp4 1
 
0.2%
2682.mp4 1
 
0.2%
2683.mp4 1
 
0.2%
2684.mp4 1
 
0.2%
2685.mp4 1
 
0.2%
2686.mp4 1
 
0.2%
2687.mp4 1
 
0.2%
Other values (647) 647
98.5%
2024-04-18T12:10:20.661777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 879
16.1%
2 766
14.0%
. 657
12.0%
p 657
12.0%
m 657
12.0%
7 228
 
4.2%
8 226
 
4.1%
6 223
 
4.1%
5 223
 
4.1%
3 222
 
4.1%
Other values (143) 715
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3142
57.6%
Lowercase Letter 1325
24.3%
Other Punctuation 657
 
12.0%
Other Letter 290
 
5.3%
Connector Punctuation 39
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 18
 
6.2%
막 17
 
5.9%
영 12
 
4.1%
의 11
 
3.8%
상 11
 
3.8%
이 9
 
3.1%
지 8
 
2.8%
은 7
 
2.4%
한 5
 
1.7%
아 5
 
1.7%
Other values (128) 187
64.5%
Decimal Number
ValueCountFrequency (%)
4 879
28.0%
2 766
24.4%
7 228
 
7.3%
8 226
 
7.2%
6 223
 
7.1%
5 223
 
7.1%
3 222
 
7.1%
9 126
 
4.0%
1 126
 
4.0%
0 123
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
p 657
49.6%
m 657
49.6%
v 11
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 657
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3838
70.4%
Latin 1325
 
24.3%
Hangul 290
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 18
 
6.2%
막 17
 
5.9%
영 12
 
4.1%
의 11
 
3.8%
상 11
 
3.8%
이 9
 
3.1%
지 8
 
2.8%
은 7
 
2.4%
한 5
 
1.7%
아 5
 
1.7%
Other values (128) 187
64.5%
Common
ValueCountFrequency (%)
4 879
22.9%
2 766
20.0%
. 657
17.1%
7 228
 
5.9%
8 226
 
5.9%
6 223
 
5.8%
5 223
 
5.8%
3 222
 
5.8%
9 126
 
3.3%
1 126
 
3.3%
Other values (2) 162
 
4.2%
Latin
ValueCountFrequency (%)
p 657
49.6%
m 657
49.6%
v 11
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5163
94.7%
Hangul 290
 
5.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 879
17.0%
2 766
14.8%
. 657
12.7%
p 657
12.7%
m 657
12.7%
7 228
 
4.4%
8 226
 
4.4%
6 223
 
4.3%
5 223
 
4.3%
3 222
 
4.3%
Other values (5) 425
8.2%
Hangul
ValueCountFrequency (%)
자 18
 
6.2%
막 17
 
5.9%
영 12
 
4.1%
의 11
 
3.8%
상 11
 
3.8%
이 9
 
3.1%
지 8
 
2.8%
은 7
 
2.4%
한 5
 
1.7%
아 5
 
1.7%
Other values (128) 187
64.5%

원본파일경로
Text

UNIQUE 

Distinct657
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:20.955601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length63
Mean length63.487062
Min length63

Characters and Unicode

Total characters41711
Distinct characters182
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

Unique657 ?
Unique (%)100.0%

Sample

1st row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/거문고로만든떡_자막.mp4
2nd row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/까마귀에게은혜갚은신라소지왕_자막.mp4
3rd row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/나물밥의소중함을알려준최영_자막.mp4
4th row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/농부의두아들_영상.mp4
5th row/nas/open/upload_kogl/upload_recommend/특별테마전/이야기할머니/이야기할머니/단한가지의지혜_자막.mp4
ValueCountFrequency (%)
nas/open/upload_kogl/upload_recommend/특별 618
48.5%
테마전/국립국악원/영상/2687.mp4 1
 
0.1%
테마전/국립국악원/영상/2680.mp4 1
 
0.1%
테마전/국립국악원/영상/2688.mp4 1
 
0.1%
테마전/국립국악원/영상/2681.mp4 1
 
0.1%
테마전/국립국악원/영상/2682.mp4 1
 
0.1%
테마전/국립국악원/영상/2683.mp4 1
 
0.1%
테마전/국립국악원/영상/2684.mp4 1
 
0.1%
테마전/국립국악원/영상/2685.mp4 1
 
0.1%
테마전/국립국악원/영상/2686.mp4 1
 
0.1%
Other values (648) 648
50.8%
2024-04-18T12:10:21.417327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 5256
 
12.6%
o 3285
 
7.9%
p 2628
 
6.3%
m 1971
 
4.7%
a 1971
 
4.7%
e 1971
 
4.7%
l 1971
 
4.7%
d 1971
 
4.7%
n 1971
 
4.7%
_ 1353
 
3.2%
Other values (172) 17363
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22349
53.6%
Other Letter 8336
 
20.0%
Other Punctuation 5913
 
14.2%
Decimal Number 3142
 
7.5%
Connector Punctuation 1353
 
3.2%
Space Separator 618
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.8%
특 646
7.7%
테 646
7.7%
전 646
7.7%
영 641
7.7%
상 640
7.7%
원 619
7.4%
립 618
7.4%
Other values (143) 1338
16.1%
Lowercase Letter
ValueCountFrequency (%)
o 3285
14.7%
p 2628
11.8%
m 1971
8.8%
a 1971
8.8%
e 1971
8.8%
l 1971
8.8%
d 1971
8.8%
n 1971
8.8%
u 1314
 
5.9%
r 657
 
2.9%
Other values (5) 2639
11.8%
Decimal Number
ValueCountFrequency (%)
4 879
28.0%
2 766
24.4%
7 228
 
7.3%
8 226
 
7.2%
5 223
 
7.1%
6 223
 
7.1%
3 222
 
7.1%
1 126
 
4.0%
9 126
 
4.0%
0 123
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 5256
88.9%
. 657
 
11.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1353
100.0%
Space Separator
ValueCountFrequency (%)
618
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22349
53.6%
Common 11026
26.4%
Hangul 8336
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.8%
특 646
7.7%
테 646
7.7%
전 646
7.7%
영 641
7.7%
상 640
7.7%
원 619
7.4%
립 618
7.4%
Other values (143) 1338
16.1%
Latin
ValueCountFrequency (%)
o 3285
14.7%
p 2628
11.8%
m 1971
8.8%
a 1971
8.8%
e 1971
8.8%
l 1971
8.8%
d 1971
8.8%
n 1971
8.8%
u 1314
 
5.9%
r 657
 
2.9%
Other values (5) 2639
11.8%
Common
ValueCountFrequency (%)
/ 5256
47.7%
_ 1353
 
12.3%
4 879
 
8.0%
2 766
 
6.9%
. 657
 
6.0%
618
 
5.6%
7 228
 
2.1%
8 226
 
2.0%
5 223
 
2.0%
6 223
 
2.0%
Other values (4) 597
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33375
80.0%
Hangul 8336
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 5256
15.7%
o 3285
 
9.8%
p 2628
 
7.9%
m 1971
 
5.9%
a 1971
 
5.9%
e 1971
 
5.9%
l 1971
 
5.9%
d 1971
 
5.9%
n 1971
 
5.9%
_ 1353
 
4.1%
Other values (19) 9027
27.0%
Hangul
ValueCountFrequency (%)
국 1236
14.8%
별 658
7.9%
마 648
7.8%
특 646
7.7%
테 646
7.7%
전 646
7.7%
영 641
7.7%
상 640
7.7%
원 619
7.4%
립 618
7.4%
Other values (143) 1338
16.1%

삭제여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size789.0 B
False
657 
ValueCountFrequency (%)
False 657
100.0%
2024-04-18T12:10:21.525164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

조회수
Real number (ℝ)

Distinct89
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.5449
Minimum30
Maximum2205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-04-18T12:10:21.623928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile33
Q137
median42
Q352
95-th percentile99.2
Maximum2205
Range2175
Interquartile range (IQR)15

Descriptive statistics

Standard deviation275.14765
Coefficient of variation (CV)2.7365649
Kurtosis27.574794
Mean100.5449
Median Absolute Deviation (MAD)7
Skewness5.2034387
Sum66058
Variance75706.227
MonotonicityNot monotonic
2024-04-18T12:10:21.734587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 57
 
8.7%
37 45
 
6.8%
36 39
 
5.9%
38 37
 
5.6%
39 31
 
4.7%
34 29
 
4.4%
41 28
 
4.3%
54 27
 
4.1%
50 27
 
4.1%
53 26
 
4.0%
Other values (79) 311
47.3%
ValueCountFrequency (%)
30 1
 
0.2%
31 8
 
1.2%
32 8
 
1.2%
33 21
 
3.2%
34 29
4.4%
35 57
8.7%
36 39
5.9%
37 45
6.8%
38 37
5.6%
39 31
4.7%
ValueCountFrequency (%)
2205 1
0.2%
2140 1
0.2%
2025 1
0.2%
1894 1
0.2%
1736 1
0.2%
1671 1
0.2%
1584 1
0.2%
1553 1
0.2%
1537 1
0.2%
1517 1
0.2%

저작물구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
영상
657 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영상 657
100.0%

Length

2024-04-18T12:10:21.838991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:21.915821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영상 657
100.0%

저작물구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
video
657 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
video 657
100.0%

Length

2024-04-18T12:10:22.007509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:10:22.088172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
video 657
100.0%

키워드명
Text

Distinct52
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-04-18T12:10:22.236098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length24.362253
Min length16

Characters and Unicode

Total characters16006
Distinct characters145
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

Unique39 ?
Unique (%)5.9%

Sample

1st row#이야기,#할머니,#교육,#동화,#거문고,#떡
2nd row#이야기,#할머니,#교육,#동화,#까마귀,#은혜,#신라,#소지왕
3rd row#이야기,#할머니,#교육,#동화,#나물밥,#소중함,#최영
4th row#이야기,#할머니,#교육,#동화,#농부,#아들
5th row#이야기,#할머니,#교육,#동화,#한가지,#지혜
ValueCountFrequency (%)
창작,#국악기,#연주,#교본,#강의,#장구 119
18.1%
창작,#국악기,#연주,#교본,#강의,#거문고 99
15.1%
창작,#국악기,#연주,#교본,#강의,#가야금 66
10.0%
창작,#국악기,#연주,#교본,#강의,#해금 59
9.0%
창작,#국악기,#연주,#교본,#강의,#철현금 50
7.6%
창작,#국악기,#연주,#교본,#강의,#생황 46
 
7.0%
창작,#국악기,#연주,#교본,#강의,#아쟁 41
 
6.2%
창작,#국악기,#연주,#교본,#강의,#대금 31
 
4.7%
창작,#국악기,#연주,#교본,#강의,#단소 28
 
4.3%
창작,#국악기,#연주,#교본,#강의,#양금 27
 
4.1%
Other values (42) 91
13.9%
2024-04-18T12:10:22.528314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 3929
24.5%
, 3272
20.4%
기 648
 
4.0%
교 646
 
4.0%
강 621
 
3.9%
작 619
 
3.9%
의 619
 
3.9%
연 619
 
3.9%
주 619
 
3.9%
본 618
 
3.9%
Other values (135) 3796
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8805
55.0%
Other Punctuation 7201
45.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 648
 
7.4%
교 646
 
7.3%
강 621
 
7.1%
작 619
 
7.0%
의 619
 
7.0%
연 619
 
7.0%
주 619
 
7.0%
본 618
 
7.0%
창 618
 
7.0%
악 618
 
7.0%
Other values (133) 2560
29.1%
Other Punctuation
ValueCountFrequency (%)
# 3929
54.6%
, 3272
45.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8805
55.0%
Common 7201
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 648
 
7.4%
교 646
 
7.3%
강 621
 
7.1%
작 619
 
7.0%
의 619
 
7.0%
연 619
 
7.0%
주 619
 
7.0%
본 618
 
7.0%
창 618
 
7.0%
악 618
 
7.0%
Other values (133) 2560
29.1%
Common
ValueCountFrequency (%)
# 3929
54.6%
, 3272
45.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8805
55.0%
ASCII 7201
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 3929
54.6%
, 3272
45.4%
Hangul
ValueCountFrequency (%)
기 648
 
7.4%
교 646
 
7.3%
강 621
 
7.1%
작 619
 
7.0%
의 619
 
7.0%
연 619
 
7.0%
주 619
 
7.0%
본 618
 
7.0%
창 618
 
7.0%
악 618
 
7.0%
Other values (133) 2560
29.1%

Sample

저작물코드상위코드상위코드명중위코드중위코드명하위코드하위코드명저작물명촬영년도촬영기관코드촬영기관명소장기관명저작물이용유형코드썸네일파일명썸네일경로썸네일웹파일경로파일명원본파일명원본파일경로삭제여부조회수저작물구분코드저작물구분명키워드명
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저작물코드상위코드상위코드명중위코드중위코드명하위코드하위코드명저작물명촬영년도촬영기관코드촬영기관명소장기관명저작물이용유형코드썸네일파일명썸네일경로썸네일웹파일경로파일명원본파일명원본파일경로삭제여부조회수저작물구분코드저작물구분명키워드명
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65432880A002지역별 관광지B011인천광역시C011인천관광동영상무의도202030590000인천광역시인천광역시4v_9.jpg/nas/open/upload_kogl/upload_recommend/지역별관광지/인천광역시/동영상/v_9.jpg/upload_recommend/지역별관광지/인천광역시/동영상/v_9.jpgv_9.mp4v_9.mp4/nas/open/upload_kogl/upload_recommend/지역별관광지/인천광역시/동영상/v_9.mp4N52영상video#인천,#관광,#동영상,#무의도
65532881A002지역별 관광지B011인천광역시C011인천관광동영상골목202030590000인천광역시인천광역시4v_10.jpg/nas/open/upload_kogl/upload_recommend/지역별관광지/인천광역시/동영상/v_10.jpg/upload_recommend/지역별관광지/인천광역시/동영상/v_10.jpgv_10.mp4v_10.mp4/nas/open/upload_kogl/upload_recommend/지역별관광지/인천광역시/동영상/v_10.mp4N75영상video#인천,#관광,#동영상,#골목
65632882A002지역별 관광지B011인천광역시C011인천관광동영상강화도202030590000인천광역시인천광역시4v_11.jpg/nas/open/upload_kogl/upload_recommend/지역별관광지/인천광역시/동영상/v_11.jpg/upload_recommend/지역별관광지/인천광역시/동영상/v_11.jpgv_11.mp4v_11.mp4/nas/open/upload_kogl/upload_recommend/지역별관광지/인천광역시/동영상/v_11.mp4N114영상video#인천,#관광,#동영상,#강화도