Overview

Dataset statistics

Number of variables12
Number of observations598
Missing cells126
Missing cells (%)1.8%
Duplicate rows3
Duplicate rows (%)0.5%
Total size in memory57.4 KiB
Average record size in memory98.2 B

Variable types

Text6
Numeric2
Categorical3
DateTime1

Dataset

Description한국문화정보원에서 제공하는 메타데이터(인기저작물) 데이터 입니다. 메타데이터(인기저작물)의 등록정보(제목, 촬영년도, 촬영원본, 원본소유자, 국가, 재질, 컨텐츠캡션, 추천공공저작물 활용안내, 원본파일명, 조회수, 해시태그, 등록일, 사이트주소)를 제공합니다.
Author한국문화정보원
URLhttps://www.data.go.kr/data/15119359/fileData.do

Alerts

Dataset has 3 (0.5%) duplicate rowsDuplicates
촬영년도 is highly overall correlated with 재질 and 1 other fieldsHigh correlation
조회수 is highly overall correlated with 사이트주소High correlation
국가 is highly overall correlated with 재질 and 1 other fieldsHigh correlation
재질 is highly overall correlated with 촬영년도 and 1 other fieldsHigh correlation
사이트주소 is highly overall correlated with 촬영년도 and 2 other fieldsHigh correlation
국가 is highly imbalanced (65.8%)Imbalance
재질 is highly imbalanced (65.2%)Imbalance
촬영년도 has 43 (7.2%) missing valuesMissing
원본파일명 has 29 (4.8%) missing valuesMissing
조회수 has 44 (7.4%) missing valuesMissing
해시태그 has 10 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:26:47.833267
Analysis finished2023-12-12 21:26:50.313465
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct523
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:26:50.544747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length54
Mean length10.986622
Min length1

Characters and Unicode

Total characters6570
Distinct characters601
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique479 ?
Unique (%)80.1%

Sample

1st row거친음식도맛있게먹은퇴계이황
2nd row나물밥의소중함을알려준최영
3rd row사랑의통장
4th row선이의돌무더기
5th row아빠바지의비밀
ValueCountFrequency (%)
50
 
3.7%
고객응대근로자 28
 
2.1%
전화연결음 28
 
2.1%
남자 28
 
2.1%
보호 28
 
2.1%
컬러링북 16
 
1.2%
위한 16
 
1.2%
창작을 15
 
1.1%
국악기 15
 
1.1%
이해와 15
 
1.1%
Other values (796) 1125
82.5%
2023-12-13T06:26:51.046432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
773
 
11.8%
2 105
 
1.6%
0 88
 
1.3%
자 81
 
1.2%
리 80
 
1.2%
고 78
 
1.2%
이 76
 
1.2%
대 70
 
1.1%
) 69
 
1.1%
( 69
 
1.1%
Other values (591) 5081
77.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4493
68.4%
Space Separator 783
 
11.9%
Decimal Number 357
 
5.4%
Lowercase Letter 306
 
4.7%
Uppercase Letter 252
 
3.8%
Close Punctuation 104
 
1.6%
Open Punctuation 104
 
1.6%
Other Punctuation 78
 
1.2%
Dash Punctuation 55
 
0.8%
Connector Punctuation 17
 
0.3%
Other values (3) 21
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 81
 
1.8%
리 80
 
1.8%
고 78
 
1.7%
이 76
 
1.7%
대 70
 
1.6%
체 67
 
1.5%
호 64
 
1.4%
연 63
 
1.4%
기 63
 
1.4%
소 58
 
1.3%
Other values (507) 3793
84.4%
Lowercase Letter
ValueCountFrequency (%)
o 45
14.7%
r 42
13.7%
a 39
12.7%
e 21
 
6.9%
p 20
 
6.5%
l 19
 
6.2%
n 19
 
6.2%
i 16
 
5.2%
t 15
 
4.9%
s 12
 
3.9%
Other values (13) 58
19.0%
Uppercase Letter
ValueCountFrequency (%)
P 40
15.9%
C 30
11.9%
S 21
 
8.3%
R 21
 
8.3%
E 14
 
5.6%
M 14
 
5.6%
T 12
 
4.8%
I 12
 
4.8%
A 11
 
4.4%
N 10
 
4.0%
Other values (12) 67
26.6%
Decimal Number
ValueCountFrequency (%)
2 105
29.4%
0 88
24.6%
1 59
16.5%
5 24
 
6.7%
3 22
 
6.2%
6 17
 
4.8%
9 14
 
3.9%
4 11
 
3.1%
7 10
 
2.8%
8 7
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 34
43.6%
： 19
24.4%
, 11
 
14.1%
: 10
 
12.8%
? 1
 
1.3%
· 1
 
1.3%
& 1
 
1.3%
′ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 69
66.3%
] 27
 
26.0%
」 4
 
3.8%
〉 3
 
2.9%
』 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 69
66.3%
[ 27
 
26.0%
「 4
 
3.8%
〈 3
 
2.9%
『 1
 
1.0%
Other Number
ValueCountFrequency (%)
⑧ 1
25.0%
③ 1
25.0%
⑨ 1
25.0%
② 1
25.0%
Space Separator
ValueCountFrequency (%)
773
98.7%
　 10
 
1.3%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4481
68.2%
Common 1505
 
22.9%
Latin 572
 
8.7%
Han 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 81
 
1.8%
리 80
 
1.8%
고 78
 
1.7%
이 76
 
1.7%
대 70
 
1.6%
체 67
 
1.5%
호 64
 
1.4%
연 63
 
1.4%
기 63
 
1.4%
소 58
 
1.3%
Other values (495) 3781
84.4%
Latin
ValueCountFrequency (%)
o 45
 
7.9%
r 42
 
7.3%
P 40
 
7.0%
a 39
 
6.8%
C 30
 
5.2%
S 21
 
3.7%
R 21
 
3.7%
e 21
 
3.7%
p 20
 
3.5%
l 19
 
3.3%
Other values (36) 274
47.9%
Common
ValueCountFrequency (%)
773
51.4%
2 105
 
7.0%
0 88
 
5.8%
) 69
 
4.6%
( 69
 
4.6%
1 59
 
3.9%
- 55
 
3.7%
. 34
 
2.3%
[ 27
 
1.8%
] 27
 
1.8%
Other values (28) 199
 
13.2%
Han
ValueCountFrequency (%)
洞 1
8.3%
豚 1
8.3%
新 1
8.3%
別 1
8.3%
曲 1
8.3%
報 1
8.3%
告 1
8.3%
第 1
8.3%
六 1
8.3%
十 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4481
68.2%
ASCII 2012
30.6%
None 46
 
0.7%
Number Forms 14
 
0.2%
CJK 11
 
0.2%
Enclosed Alphanum 4
 
0.1%
Punctuation 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
773
38.4%
2 105
 
5.2%
0 88
 
4.4%
) 69
 
3.4%
( 69
 
3.4%
1 59
 
2.9%
- 55
 
2.7%
o 45
 
2.2%
r 42
 
2.1%
P 40
 
2.0%
Other values (59) 667
33.2%
Hangul
ValueCountFrequency (%)
자 81
 
1.8%
리 80
 
1.8%
고 78
 
1.7%
이 76
 
1.7%
대 70
 
1.6%
체 67
 
1.5%
호 64
 
1.4%
연 63
 
1.4%
기 63
 
1.4%
소 58
 
1.3%
Other values (495) 3781
84.4%
None
ValueCountFrequency (%)
： 19
41.3%
　 10
21.7%
」 4
 
8.7%
「 4
 
8.7%
〈 3
 
6.5%
〉 3
 
6.5%
』 1
 
2.2%
『 1
 
2.2%
· 1
 
2.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 14
100.0%
CJK
ValueCountFrequency (%)
洞 1
9.1%
豚 1
9.1%
新 1
9.1%
別 1
9.1%
曲 1
9.1%
報 1
9.1%
告 1
9.1%
第 1
9.1%
十 1
9.1%
五 1
9.1%
Punctuation
ValueCountFrequency (%)
′ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑧ 1
25.0%
③ 1
25.0%
⑨ 1
25.0%
② 1
25.0%

촬영년도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)2.0%
Missing43
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean2018.8829
Minimum1996
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T06:26:51.176888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile2016
Q12017
median2019
Q32020
95-th percentile2022
Maximum2023
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.464692
Coefficient of variation (CV)0.0012208197
Kurtosis26.350594
Mean2018.8829
Median Absolute Deviation (MAD)1
Skewness-3.270234
Sum1120480
Variance6.0747065
MonotonicityNot monotonic
2023-12-13T06:26:51.287593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2020 145
24.2%
2019 131
21.9%
2017 93
15.6%
2021 65
10.9%
2016 52
 
8.7%
2022 32
 
5.4%
2015 17
 
2.8%
2023 13
 
2.2%
2009 3
 
0.5%
2018 2
 
0.3%
(Missing) 43
 
7.2%
ValueCountFrequency (%)
1996 2
 
0.3%
2009 3
 
0.5%
2015 17
 
2.8%
2016 52
 
8.7%
2017 93
15.6%
2018 2
 
0.3%
2019 131
21.9%
2020 145
24.2%
2021 65
10.9%
2022 32
 
5.4%
ValueCountFrequency (%)
2023 13
 
2.2%
2022 32
 
5.4%
2021 65
10.9%
2020 145
24.2%
2019 131
21.9%
2018 2
 
0.3%
2017 93
15.6%
2016 52
 
8.7%
2015 17
 
2.8%
2009 3
 
0.5%

촬영원본
Text

Distinct91
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:26:51.530188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length8.4230769
Min length3

Characters and Unicode

Total characters5037
Distinct characters167
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

Unique43 ?
Unique (%)7.2%

Sample

1st row한국국학진흥원
2nd row한국국학진흥원
3rd row한국국학진흥원
4th row한국국학진흥원
5th row한국국학진흥원
ValueCountFrequency (%)
국립국악원 92
 
13.5%
한국농수산식품유통공사 90
 
13.3%
한국국학진흥원 61
 
9.0%
한국산업안전보건공단 41
 
6.0%
경제·인문사회연구회 39
 
5.7%
국립생물자원관 27
 
4.0%
서울우리소리박물관 23
 
3.4%
한국문화정보원 19
 
2.8%
아산시 16
 
2.4%
국립해양박물관 15
 
2.2%
Other values (94) 256
37.7%
2023-12-13T06:26:51.983872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 542
 
10.8%
한 261
 
5.2%
원 243
 
4.8%
산 171
 
3.4%
공 151
 
3.0%
립 140
 
2.8%
사 139
 
2.8%
회 108
 
2.1%
보 107
 
2.1%
농 98
 
1.9%
Other values (157) 3077
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4777
94.8%
Other Punctuation 85
 
1.7%
Space Separator 81
 
1.6%
Lowercase Letter 35
 
0.7%
Close Punctuation 18
 
0.4%
Open Punctuation 18
 
0.4%
Other Symbol 10
 
0.2%
Decimal Number 8
 
0.2%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 542
 
11.3%
한 261
 
5.5%
원 243
 
5.1%
산 171
 
3.6%
공 151
 
3.2%
립 140
 
2.9%
사 139
 
2.9%
회 108
 
2.3%
보 107
 
2.2%
농 98
 
2.1%
Other values (143) 2817
59.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
42.9%
g 10
28.6%
n 5
 
14.3%
r 5
 
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
1 2
25.0%
0 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 44
51.8%
· 41
48.2%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4787
95.0%
Common 210
 
4.2%
Latin 40
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 542
 
11.3%
한 261
 
5.5%
원 243
 
5.1%
산 171
 
3.6%
공 151
 
3.2%
립 140
 
2.9%
사 139
 
2.9%
회 108
 
2.3%
보 107
 
2.2%
농 98
 
2.0%
Other values (144) 2827
59.1%
Common
ValueCountFrequency (%)
81
38.6%
, 44
21.0%
· 41
19.5%
) 18
 
8.6%
( 18
 
8.6%
2 4
 
1.9%
1 2
 
1.0%
0 2
 
1.0%
Latin
ValueCountFrequency (%)
e 15
37.5%
g 10
25.0%
n 5
 
12.5%
G 5
 
12.5%
r 5
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4777
94.8%
ASCII 209
 
4.1%
None 51
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 542
 
11.3%
한 261
 
5.5%
원 243
 
5.1%
산 171
 
3.6%
공 151
 
3.2%
립 140
 
2.9%
사 139
 
2.9%
회 108
 
2.3%
보 107
 
2.2%
농 98
 
2.1%
Other values (143) 2817
59.0%
ASCII
ValueCountFrequency (%)
81
38.8%
, 44
21.1%
) 18
 
8.6%
( 18
 
8.6%
e 15
 
7.2%
g 10
 
4.8%
n 5
 
2.4%
G 5
 
2.4%
r 5
 
2.4%
2 4
 
1.9%
Other values (2) 4
 
1.9%
None
ValueCountFrequency (%)
· 41
80.4%
㈜ 10
 
19.6%

원본소유자
Text

Distinct70
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:26:52.234882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.7658863
Min length3

Characters and Unicode

Total characters4644
Distinct characters120
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)5.5%

Sample

1st row한국국학진흥원
2nd row한국국학진흥원
3rd row한국국학진흥원
4th row한국국학진흥원
5th row한국국학진흥원
ValueCountFrequency (%)
국립국악원 92
14.3%
한국농수산식품유통공사 90
14.0%
한국국학진흥원 61
 
9.5%
경제·인문사회연구회 43
 
6.7%
한국산업안전보건공단 41
 
6.4%
한국저작권위원회 34
 
5.3%
국립생물자원관 28
 
4.4%
서울우리소리박물관 23
 
3.6%
한국문화정보원 17
 
2.6%
아산시 16
 
2.5%
Other values (70) 198
30.8%
2023-12-13T06:26:52.650541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 555
 
12.0%
한 266
 
5.7%
원 255
 
5.5%
산 171
 
3.7%
공 151
 
3.3%
사 142
 
3.1%
립 141
 
3.0%
회 120
 
2.6%
악 92
 
2.0%
수 91
 
2.0%
Other values (110) 2660
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4554
98.1%
Space Separator 45
 
1.0%
Other Punctuation 45
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 555
 
12.2%
한 266
 
5.8%
원 255
 
5.6%
산 171
 
3.8%
공 151
 
3.3%
사 142
 
3.1%
립 141
 
3.1%
회 120
 
2.6%
악 92
 
2.0%
수 91
 
2.0%
Other values (108) 2570
56.4%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Punctuation
ValueCountFrequency (%)
· 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4554
98.1%
Common 90
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 555
 
12.2%
한 266
 
5.8%
원 255
 
5.6%
산 171
 
3.8%
공 151
 
3.3%
사 142
 
3.1%
립 141
 
3.1%
회 120
 
2.6%
악 92
 
2.0%
수 91
 
2.0%
Other values (108) 2570
56.4%
Common
ValueCountFrequency (%)
45
50.0%
· 45
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4554
98.1%
ASCII 45
 
1.0%
None 45
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 555
 
12.2%
한 266
 
5.8%
원 255
 
5.6%
산 171
 
3.8%
공 151
 
3.3%
사 142
 
3.1%
립 141
 
3.1%
회 120
 
2.6%
악 92
 
2.0%
수 91
 
2.0%
Other values (108) 2570
56.4%
ASCII
ValueCountFrequency (%)
45
100.0%
None
ValueCountFrequency (%)
· 45
100.0%

국가
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
한국
486 
근현대
72 
현대
 
28
한국,광복이후
 
8
한국,일제강점기
 
2
Other values (2)
 
2

Length

Max length9
Median length2
Mean length2.2274247
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
한국 486
81.3%
근현대 72
 
12.0%
현대 28
 
4.7%
한국,광복이후 8
 
1.3%
한국,일제강점기 2
 
0.3%
네덜란드,17세기 1
 
0.2%
한국/조선후기 1
 
0.2%

Length

2023-12-13T06:26:52.807071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:26:52.951418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국 486
81.3%
근현대 72
 
12.0%
현대 28
 
4.7%
한국,광복이후 8
 
1.3%
한국,일제강점기 2
 
0.3%
네덜란드,17세기 1
 
0.2%
한국/조선후기 1
 
0.2%

재질
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
458 
디지털
52 
가죽,나무
 
14
나무
 
14
나무,명주실
 
12
Other values (16)
48 

Length

Max length9
Median length4
Mean length3.9130435
Min length1

Unique

Unique9 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 458
76.6%
디지털 52
 
8.7%
가죽,나무 14
 
2.3%
나무 14
 
2.3%
나무,명주실 12
 
2.0%
금속 12
 
2.0%
금속,나무 8
 
1.3%
대나무 7
 
1.2%
나무,금속 5
 
0.8%
흙 3
 
0.5%
Other values (11) 13
 
2.2%

Length

2023-12-13T06:26:53.135304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 458
76.0%
디지털 52
 
8.6%
나무 17
 
2.8%
가죽,나무 14
 
2.3%
나무,명주실 12
 
2.0%
금속 12
 
2.0%
금속,나무 8
 
1.3%
대나무 7
 
1.2%
나무,금속 5
 
0.8%
흙 3
 
0.5%
Other values (12) 15
 
2.5%

컨텐츠캡션
Text

Distinct202
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T06:26:53.543358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length25
Mean length104.68729
Min length8

Characters and Unicode

Total characters62603
Distinct characters1270
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)32.4%

Sample

1st row출처를 표시하고 이용조건에 따라 사용해주세요.
2nd row출처를 표시하고 이용조건에 따라 사용해주세요.
3rd row출처를 표시하고 이용조건에 따라 사용해주세요.
4th row출처를 표시하고 이용조건에 따라 사용해주세요.
5th row출처를 표시하고 이용조건에 따라 사용해주세요.
ValueCountFrequency (%)
따라 386
 
2.9%
사용해주세요 362
 
2.7%
출처를 354
 
2.7%
표시하고 354
 
2.7%
이용조건에 354
 
2.7%
있다 114
 
0.9%
때 66
 
0.5%
한다 56
 
0.4%
수 43
 
0.3%
한 39
 
0.3%
Other values (5628) 11216
84.1%
2023-12-13T06:26:54.136656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12752
 
20.4%
에 1337
 
2.1%
이 1276
 
2.0%
. 1210
 
1.9%
고 1149
 
1.8%
다 1005
 
1.6%
용 984
 
1.6%
하 890
 
1.4%
는 849
 
1.4%
의 745
 
1.2%
Other values (1260) 40406
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43214
69.0%
Space Separator 12752
 
20.4%
Other Punctuation 1993
 
3.2%
Lowercase Letter 1317
 
2.1%
Decimal Number 1233
 
2.0%
Open Punctuation 664
 
1.1%
Close Punctuation 662
 
1.1%
Math Symbol 468
 
0.7%
Uppercase Letter 206
 
0.3%
Other Symbol 34
 
0.1%
Other values (4) 60
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 1337
 
3.1%
이 1276
 
3.0%
고 1149
 
2.7%
다 1005
 
2.3%
용 984
 
2.3%
하 890
 
2.1%
는 849
 
2.0%
의 745
 
1.7%
사 711
 
1.6%
주 677
 
1.6%
Other values (1169) 33591
77.7%
Lowercase Letter
ValueCountFrequency (%)
p 156
11.8%
e 121
 
9.2%
n 114
 
8.7%
t 111
 
8.4%
r 106
 
8.0%
a 105
 
8.0%
o 97
 
7.4%
i 88
 
6.7%
l 59
 
4.5%
c 52
 
3.9%
Other values (14) 308
23.4%
Uppercase Letter
ValueCountFrequency (%)
P 47
22.8%
T 24
11.7%
I 19
9.2%
C 16
 
7.8%
S 15
 
7.3%
O 12
 
5.8%
E 9
 
4.4%
R 9
 
4.4%
K 8
 
3.9%
D 7
 
3.4%
Other values (11) 40
19.4%
Other Punctuation
ValueCountFrequency (%)
. 1210
60.7%
, 615
30.9%
/ 99
 
5.0%
· 26
 
1.3%
; 15
 
0.8%
& 15
 
0.8%
# 8
 
0.4%
* 2
 
0.1%
? 1
 
0.1%
% 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 296
24.0%
2 237
19.2%
0 186
15.1%
9 104
 
8.4%
5 87
 
7.1%
4 81
 
6.6%
3 76
 
6.2%
6 70
 
5.7%
8 52
 
4.2%
7 44
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 580
87.3%
『 67
 
10.1%
「 12
 
1.8%
[ 3
 
0.5%
《 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 578
87.3%
』 67
 
10.1%
」 12
 
1.8%
] 3
 
0.5%
》 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 209
44.7%
< 209
44.7%
~ 47
 
10.0%
+ 2
 
0.4%
∼ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
㎝ 32
94.1%
♭ 1
 
2.9%
□ 1
 
2.9%
Initial Punctuation
ValueCountFrequency (%)
‘ 11
84.6%
“ 2
 
15.4%
Final Punctuation
ValueCountFrequency (%)
’ 9
90.0%
” 1
 
10.0%
Space Separator
ValueCountFrequency (%)
12752
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42040
67.2%
Common 17866
28.5%
Latin 1523
 
2.4%
Han 1174
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 1337
 
3.2%
이 1276
 
3.0%
고 1149
 
2.7%
다 1005
 
2.4%
용 984
 
2.3%
하 890
 
2.1%
는 849
 
2.0%
의 745
 
1.8%
사 711
 
1.7%
주 677
 
1.6%
Other values (759) 32417
77.1%
Han
ValueCountFrequency (%)
樂 60
 
5.1%
鼓 27
 
2.3%
琴 22
 
1.9%
禮 19
 
1.6%
竹 18
 
1.5%
軌 17
 
1.4%
學 14
 
1.2%
祭 14
 
1.2%
大 14
 
1.2%
儀 13
 
1.1%
Other values (400) 956
81.4%
Common
ValueCountFrequency (%)
12752
71.4%
. 1210
 
6.8%
, 615
 
3.4%
( 580
 
3.2%
) 578
 
3.2%
1 296
 
1.7%
2 237
 
1.3%
> 209
 
1.2%
< 209
 
1.2%
0 186
 
1.0%
Other values (36) 994
 
5.6%
Latin
ValueCountFrequency (%)
p 156
 
10.2%
e 121
 
7.9%
n 114
 
7.5%
t 111
 
7.3%
r 106
 
7.0%
a 105
 
6.9%
o 97
 
6.4%
i 88
 
5.8%
l 59
 
3.9%
c 52
 
3.4%
Other values (35) 514
33.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42035
67.1%
ASCII 19143
30.6%
CJK 1156
 
1.8%
None 188
 
0.3%
CJK Compat 32
 
0.1%
Punctuation 23
 
< 0.1%
CJK Compat Ideographs 18
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Math Operators 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12752
66.6%
. 1210
 
6.3%
, 615
 
3.2%
( 580
 
3.0%
) 578
 
3.0%
1 296
 
1.5%
2 237
 
1.2%
> 209
 
1.1%
< 209
 
1.1%
0 186
 
1.0%
Other values (66) 2271
 
11.9%
Hangul
ValueCountFrequency (%)
에 1337
 
3.2%
이 1276
 
3.0%
고 1149
 
2.7%
다 1005
 
2.4%
용 984
 
2.3%
하 890
 
2.1%
는 849
 
2.0%
의 745
 
1.8%
사 711
 
1.7%
주 677
 
1.6%
Other values (757) 32412
77.1%
None
ValueCountFrequency (%)
『 67
35.6%
』 67
35.6%
· 26
 
13.8%
「 12
 
6.4%
」 12
 
6.4%
》 2
 
1.1%
《 2
 
1.1%
CJK
ValueCountFrequency (%)
樂 60
 
5.2%
鼓 27
 
2.3%
琴 22
 
1.9%
禮 19
 
1.6%
竹 18
 
1.6%
軌 17
 
1.5%
學 14
 
1.2%
祭 14
 
1.2%
大 14
 
1.2%
儀 13
 
1.1%
Other values (387) 938
81.1%
CJK Compat
ValueCountFrequency (%)
㎝ 32
100.0%
Punctuation
ValueCountFrequency (%)
‘ 11
47.8%
’ 9
39.1%
“ 2
 
8.7%
” 1
 
4.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 4
22.2%
李 2
11.1%
螺 2
11.1%
奈 1
 
5.6%
靈 1
 
5.6%
金 1
 
5.6%
律 1
 
5.6%
立 1
 
5.6%
洞 1
 
5.6%
洛 1
 
5.6%
Other values (3) 3
16.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
80.0%
ㄱ 1
 
20.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♭ 1
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%

원본파일명
Text

MISSING 

Distinct504
Distinct (%)88.6%
Missing29
Missing (%)4.8%
Memory size4.8 KiB
2023-12-13T06:26:54.402943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length64
Mean length21.381371
Min length5

Characters and Unicode

Total characters12166
Distinct characters514
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)83.3%

Sample

1st row대표이미지_거친음식도맛있게먹은퇴계이황_01.jpg
2nd row대표이미지_나물밥의소중함을알려준최영.jpg
3rd row대표이미지_사랑의통장.jpg
4th row대표이미지_선이의돌무더기.jpg
5th row대표이미지_아빠바지의비밀.jpg
ValueCountFrequency (%)
33-1.jpg 30
 
3.6%
연구기관 10
 
1.2%
상세01_mapo 9
 
1.1%
평가편람_1_thumnaillist_list.jpg 8
 
1.0%
탄소중립 7
 
0.8%
연구단 7
 
0.8%
issue 7
 
0.8%
paper 7
 
0.8%
및 6
 
0.7%
상세01_배달의 6
 
0.7%
Other values (651) 745
88.5%
2023-12-13T06:26:54.807794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 1123
 
9.2%
0 647
 
5.3%
. 590
 
4.8%
p 587
 
4.8%
g 551
 
4.5%
1 542
 
4.5%
j 504
 
4.1%
273
 
2.2%
이 206
 
1.7%
a 200
 
1.6%
Other values (504) 6943
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4576
37.6%
Lowercase Letter 2987
24.6%
Decimal Number 1984
16.3%
Connector Punctuation 1123
 
9.2%
Other Punctuation 598
 
4.9%
Uppercase Letter 488
 
4.0%
Space Separator 273
 
2.2%
Open Punctuation 44
 
0.4%
Close Punctuation 44
 
0.4%
Dash Punctuation 41
 
0.3%
Other values (2) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 206
 
4.5%
지 184
 
4.0%
미 182
 
4.0%
대 177
 
3.9%
표 157
 
3.4%
아 110
 
2.4%
상 104
 
2.3%
라 98
 
2.1%
세 95
 
2.1%
드 94
 
2.1%
Other values (430) 3169
69.3%
Lowercase Letter
ValueCountFrequency (%)
p 587
19.7%
g 551
18.4%
j 504
16.9%
a 200
 
6.7%
t 184
 
6.2%
i 171
 
5.7%
l 140
 
4.7%
m 107
 
3.6%
n 103
 
3.4%
s 100
 
3.3%
Other values (15) 340
11.4%
Uppercase Letter
ValueCountFrequency (%)
T 91
18.6%
L 53
10.9%
P 47
 
9.6%
C 36
 
7.4%
G 30
 
6.1%
S 25
 
5.1%
J 23
 
4.7%
R 22
 
4.5%
A 18
 
3.7%
E 17
 
3.5%
Other values (14) 126
25.8%
Decimal Number
ValueCountFrequency (%)
0 647
32.6%
1 542
27.3%
3 167
 
8.4%
2 161
 
8.1%
4 116
 
5.8%
6 82
 
4.1%
5 78
 
3.9%
9 66
 
3.3%
7 63
 
3.2%
8 62
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 590
98.7%
, 3
 
0.5%
' 2
 
0.3%
′ 2
 
0.3%
& 1
 
0.2%
Other Number
ValueCountFrequency (%)
② 1
25.0%
⑧ 1
25.0%
③ 1
25.0%
⑨ 1
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1123
100.0%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4575
37.6%
Common 4115
33.8%
Latin 3475
28.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 206
 
4.5%
지 184
 
4.0%
미 182
 
4.0%
대 177
 
3.9%
표 157
 
3.4%
아 110
 
2.4%
상 104
 
2.3%
라 98
 
2.1%
세 95
 
2.1%
드 94
 
2.1%
Other values (429) 3168
69.2%
Latin
ValueCountFrequency (%)
p 587
16.9%
g 551
15.9%
j 504
14.5%
a 200
 
5.8%
t 184
 
5.3%
i 171
 
4.9%
l 140
 
4.0%
m 107
 
3.1%
n 103
 
3.0%
s 100
 
2.9%
Other values (39) 828
23.8%
Common
ValueCountFrequency (%)
_ 1123
27.3%
0 647
15.7%
. 590
14.3%
1 542
13.2%
273
 
6.6%
3 167
 
4.1%
2 161
 
3.9%
4 116
 
2.8%
6 82
 
2.0%
5 78
 
1.9%
Other values (15) 336
 
8.2%
Han
ValueCountFrequency (%)
洞 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7584
62.3%
Hangul 4575
37.6%
Enclosed Alphanum 4
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 1123
14.8%
0 647
 
8.5%
. 590
 
7.8%
p 587
 
7.7%
g 551
 
7.3%
1 542
 
7.1%
j 504
 
6.6%
273
 
3.6%
a 200
 
2.6%
t 184
 
2.4%
Other values (59) 2383
31.4%
Hangul
ValueCountFrequency (%)
이 206
 
4.5%
지 184
 
4.0%
미 182
 
4.0%
대 177
 
3.9%
표 157
 
3.4%
아 110
 
2.4%
상 104
 
2.3%
라 98
 
2.1%
세 95
 
2.1%
드 94
 
2.1%
Other values (429) 3168
69.2%
Punctuation
ValueCountFrequency (%)
′ 2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
25.0%
⑧ 1
25.0%
③ 1
25.0%
⑨ 1
25.0%
CJK
ValueCountFrequency (%)
洞 1
100.0%

조회수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct513
Distinct (%)92.6%
Missing44
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean4776.5469
Minimum1
Maximum53454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T06:26:54.983426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.95
Q11601
median3543.5
Q38171.25
95-th percentile12782.2
Maximum53454
Range53453
Interquartile range (IQR)6570.25

Descriptive statistics

Standard deviation4861.0487
Coefficient of variation (CV)1.017691
Kurtosis26.735828
Mean4776.5469
Median Absolute Deviation (MAD)2325.5
Skewness3.7008589
Sum2646207
Variance23629794
MonotonicityNot monotonic
2023-12-13T06:26:55.135461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8221 4
 
0.7%
3279 3
 
0.5%
35 3
 
0.5%
520 3
 
0.5%
369 3
 
0.5%
429 3
 
0.5%
8201 3
 
0.5%
8266 3
 
0.5%
3253 2
 
0.3%
13917 2
 
0.3%
Other values (503) 525
87.8%
(Missing) 44
 
7.4%
ValueCountFrequency (%)
1 1
 
0.2%
23 1
 
0.2%
24 2
0.3%
26 2
0.3%
27 1
 
0.2%
28 1
 
0.2%
29 2
0.3%
30 1
 
0.2%
32 2
0.3%
35 3
0.5%
ValueCountFrequency (%)
53454 1
0.2%
43270 1
0.2%
31932 1
0.2%
27653 1
0.2%
18741 1
0.2%
18483 1
0.2%
17491 1
0.2%
17323 1
0.2%
17241 1
0.2%
17057 1
0.2%

해시태그
Text

MISSING 

Distinct340
Distinct (%)57.8%
Missing10
Missing (%)1.7%
Memory size4.8 KiB
2023-12-13T06:26:55.620678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length157
Median length80
Mean length26.894558
Min length3

Characters and Unicode

Total characters15814
Distinct characters539
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique279 ?
Unique (%)47.4%

Sample

1st row#이야기,#할머니,#교육,#거친음식,#퇴계이황
2nd row#이야기,#할머니,#교육,#동화,#나물밥,#소중함,#최영
3rd row#이야기,#할머니,#교육,#동화,#사랑,#통장
4th row#이야기,#할머니,#교육,#동화,#선이,#돌무더기
5th row#이야기,#할머니,#교육,#동화,#아빠,#바지,#비밀
ValueCountFrequency (%)
글꼴 50
 
3.2%
폰트 49
 
3.2%
경제인문사회연구회 43
 
2.8%
국가비전 43
 
2.8%
음성 32
 
2.1%
전화 28
 
1.8%
콜 28
 
1.8%
콜센터 28
 
1.8%
건강보호 28
 
1.8%
음성안내 28
 
1.8%
Other values (541) 1197
77.0%
2023-12-13T06:26:56.024067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 2960
 
18.7%
, 2374
 
15.0%
1105
 
7.0%
식 276
 
1.7%
음 226
 
1.4%
기 211
 
1.3%
리 182
 
1.2%
전 169
 
1.1%
동 164
 
1.0%
악 154
 
1.0%
Other values (529) 7993
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9146
57.8%
Other Punctuation 5347
33.8%
Space Separator 1105
 
7.0%
Lowercase Letter 82
 
0.5%
Uppercase Letter 65
 
0.4%
Decimal Number 59
 
0.4%
Dash Punctuation 8
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 276
 
3.0%
음 226
 
2.5%
기 211
 
2.3%
리 182
 
2.0%
전 169
 
1.8%
동 164
 
1.8%
악 154
 
1.7%
산 135
 
1.5%
소 135
 
1.5%
화 131
 
1.4%
Other values (484) 7363
80.5%
Lowercase Letter
ValueCountFrequency (%)
p 21
25.6%
m 21
25.6%
a 8
 
9.8%
g 5
 
6.1%
n 4
 
4.9%
e 4
 
4.9%
i 4
 
4.9%
s 2
 
2.4%
t 2
 
2.4%
z 2
 
2.4%
Other values (7) 9
11.0%
Uppercase Letter
ValueCountFrequency (%)
O 18
27.7%
E 11
16.9%
B 8
12.3%
K 8
12.3%
L 5
 
7.7%
N 4
 
6.2%
I 3
 
4.6%
D 2
 
3.1%
M 2
 
3.1%
T 2
 
3.1%
Decimal Number
ValueCountFrequency (%)
4 24
40.7%
3 8
 
13.6%
5 5
 
8.5%
2 5
 
8.5%
6 5
 
8.5%
1 5
 
8.5%
0 3
 
5.1%
9 2
 
3.4%
7 1
 
1.7%
8 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
# 2960
55.4%
, 2374
44.4%
: 8
 
0.1%
. 5
 
0.1%
Space Separator
ValueCountFrequency (%)
1105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9139
57.8%
Common 6521
41.2%
Latin 147
 
0.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 276
 
3.0%
음 226
 
2.5%
기 211
 
2.3%
리 182
 
2.0%
전 169
 
1.8%
동 164
 
1.8%
악 154
 
1.7%
산 135
 
1.5%
소 135
 
1.5%
화 131
 
1.4%
Other values (477) 7356
80.5%
Latin
ValueCountFrequency (%)
p 21
14.3%
m 21
14.3%
O 18
12.2%
E 11
 
7.5%
B 8
 
5.4%
K 8
 
5.4%
a 8
 
5.4%
L 5
 
3.4%
g 5
 
3.4%
N 4
 
2.7%
Other values (18) 38
25.9%
Common
ValueCountFrequency (%)
# 2960
45.4%
, 2374
36.4%
1105
 
16.9%
4 24
 
0.4%
- 8
 
0.1%
: 8
 
0.1%
3 8
 
0.1%
5 5
 
0.1%
2 5
 
0.1%
6 5
 
0.1%
Other values (7) 19
 
0.3%
Han
ValueCountFrequency (%)
第 1
14.3%
告 1
14.3%
報 1
14.3%
十 1
14.3%
六 1
14.3%
五 1
14.3%
號 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9139
57.8%
ASCII 6668
42.2%
CJK 6
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 2960
44.4%
, 2374
35.6%
1105
 
16.6%
4 24
 
0.4%
p 21
 
0.3%
m 21
 
0.3%
O 18
 
0.3%
E 11
 
0.2%
- 8
 
0.1%
B 8
 
0.1%
Other values (35) 118
 
1.8%
Hangul
ValueCountFrequency (%)
식 276
 
3.0%
음 226
 
2.5%
기 211
 
2.3%
리 182
 
2.0%
전 169
 
1.8%
동 164
 
1.8%
악 154
 
1.7%
산 135
 
1.5%
소 135
 
1.5%
화 131
 
1.4%
Other values (477) 7356
80.5%
CJK
ValueCountFrequency (%)
第 1
16.7%
告 1
16.7%
報 1
16.7%
十 1
16.7%
五 1
16.7%
號 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
六 1
100.0%

등록일
Date

Distinct38
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum1996-01-01 00:00:00
Maximum2023-08-08 00:00:00
2023-12-13T06:26:56.138889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:26:56.247814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

사이트주소
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
127 
https://www.gugak.go.kr/site/main/index001
92 
https://www.at.or.kr/home/apko000000/index.action
90 
https://www.koreastudy.or.kr/
61 
https://www.kosha.or.kr/kosha/index.do
41 
Other values (44)
187 

Length

Max length56
Median length47
Mean length30.536789
Min length4

Unique

Unique19 ?
Unique (%)3.2%

Sample

1st rowhttps://www.koreastudy.or.kr/
2nd rowhttps://www.koreastudy.or.kr/
3rd rowhttps://www.koreastudy.or.kr/
4th rowhttps://www.koreastudy.or.kr/
5th rowhttps://www.koreastudy.or.kr/

Common Values

ValueCountFrequency (%)
<NA> 127
21.2%
https://www.gugak.go.kr/site/main/index001 92
15.4%
https://www.at.or.kr/home/apko000000/index.action 90
15.1%
https://www.koreastudy.or.kr/ 61
10.2%
https://www.kosha.or.kr/kosha/index.do 41
 
6.9%
https://www.nibr.go.kr/ 28
 
4.7%
http://gomuseum.seoul.go.kr/sekm/front/main.do?locale=KO 23
 
3.8%
https://www.mmk.or.kr/ 15
 
2.5%
https://www.incheon.go.kr/index 11
 
1.8%
https://www.mapo.go.kr/site/main/home 9
 
1.5%
Other values (39) 101
16.9%

Length

2023-12-13T06:26:56.384133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 127
21.2%
https://www.gugak.go.kr/site/main/index001 92
15.4%
https://www.at.or.kr/home/apko000000/index.action 90
15.1%
https://www.koreastudy.or.kr 61
10.2%
https://www.kosha.or.kr/kosha/index.do 41
 
6.9%
https://www.nibr.go.kr 28
 
4.7%
http://gomuseum.seoul.go.kr/sekm/front/main.do?locale=ko 23
 
3.8%
https://www.mmk.or.kr 15
 
2.5%
https://www.incheon.go.kr/index 11
 
1.8%
https://www.mapo.go.kr/site/main/home 9
 
1.5%
Other values (39) 101
16.9%

Interactions

2023-12-13T06:26:49.711751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:26:49.525423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:26:49.799722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:26:49.629362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:26:56.462634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
촬영년도촬영원본원본소유자국가재질조회수등록일사이트주소
촬영년도1.0000.9970.9930.5190.8130.2880.9960.988
촬영원본0.9971.0001.0000.9460.0000.9160.9981.000
원본소유자0.9931.0001.0000.9520.0000.8910.9961.000
국가0.5190.9460.9521.0000.8790.2800.6670.940
재질0.8130.0000.0000.8791.0000.0000.0000.000
조회수0.2880.9160.8910.2800.0001.0000.5150.891
등록일0.9960.9980.9960.6670.0000.5151.0000.981
사이트주소0.9881.0001.0000.9400.0000.8910.9811.000
2023-12-13T06:26:56.565435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가재질사이트주소
국가1.0000.6220.695
재질0.6221.0000.000
사이트주소0.6950.0001.000
2023-12-13T06:26:56.659584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
촬영년도조회수국가재질사이트주소
촬영년도1.000-0.2360.3280.5940.721
조회수-0.2361.0000.1010.0000.587
국가0.3280.1011.0000.6220.695
재질0.5940.0000.6221.0000.000
사이트주소0.7210.5870.6950.0001.000

Missing values

2023-12-13T06:26:49.933146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:26:50.099046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T06:26:50.235885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

제목촬영년도촬영원본원본소유자국가재질컨텐츠캡션원본파일명조회수해시태그등록일사이트주소
0거친음식도맛있게먹은퇴계이황2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_거친음식도맛있게먹은퇴계이황_01.jpg3456#이야기,#할머니,#교육,#거친음식,#퇴계이황2016-01-01https://www.koreastudy.or.kr/
1나물밥의소중함을알려준최영2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_나물밥의소중함을알려준최영.jpg3005#이야기,#할머니,#교육,#동화,#나물밥,#소중함,#최영2016-01-01https://www.koreastudy.or.kr/
2사랑의통장2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_사랑의통장.jpg2981#이야기,#할머니,#교육,#동화,#사랑,#통장2016-01-01https://www.koreastudy.or.kr/
3선이의돌무더기2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_선이의돌무더기.jpg2594#이야기,#할머니,#교육,#동화,#선이,#돌무더기2016-01-01https://www.koreastudy.or.kr/
4아빠바지의비밀2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_아빠바지의비밀.jpg1979#이야기,#할머니,#교육,#동화,#아빠,#바지,#비밀2016-01-01https://www.koreastudy.or.kr/
5울릉도와독도는우리땅안용복2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_울릉도와독도는우리땅안용복.jpg2521#이야기,#할머니,#교육,#동화,#울릉도,#독도,#우리땅,#안용복2016-01-01https://www.koreastudy.or.kr/
6원숭이의잔꾀2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_원숭이의잔꾀.jpg2042#이야기,#할머니,#교육,#동화,#원숭이,#잔꾀2016-01-01https://www.koreastudy.or.kr/
7은혜갚은구렁이2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_은혜갚은구렁이_01.jpg2000#이야기,#할머니,#교육,#동화,#은혜,#구렁이2016-01-01https://www.koreastudy.or.kr/
8작은실수를스스로밝힌이산두2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_작은실수를스스로밝힌이산두.jpg2168#이야기,#할머니,#교육,#동화,#실수,#이산두2016-01-01https://www.koreastudy.or.kr/
9주인을구한강아지2016한국국학진흥원한국국학진흥원한국<NA>출처를 표시하고 이용조건에 따라 사용해주세요.대표이미지_주인을구한강아지.jpg2002#이야기,#할머니,#교육,#동화,#주인,#강아지2016-01-01https://www.koreastudy.or.kr/
제목촬영년도촬영원본원본소유자국가재질컨텐츠캡션원본파일명조회수해시태그등록일사이트주소
588[컬러링북] 트릭종이접기(Origami)2022아산시아산시한국<NA>트릭종이접기(Origami) 컬러링북컬러링북_0084_트릭종이접기(Origami)_1_thumnail.jpg41#아산시,#컬러링북,#야미야미,#캐릭터2023-06-28<NA>
589[컬러링북] 팝업카드(Pop-Up Card)2022아산시아산시한국<NA>팝업카드(Pop-Up Card) 컬러링북컬러링북_0085_팝업카드(Pop-Up Card)_1_thumnail.jpg42#아산시,#컬러링북,#야미야미,#캐릭터2023-06-28<NA>
590[컬러링북] 퍼즐(Puzzle)2022아산시아산시한국<NA>퍼즐(Puzzle) 컬러링북컬러링북_0086_퍼즐(Puzzle)_1_thumnail.jpg47#아산시,#컬러링북,#야미야미,#캐릭터2023-06-28<NA>
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1고객응대근로자 보호 전화연결음 - 남자2021한국산업안전보건공단한국산업안전보건공단한국<NA><p>2019~2020년에 개발된 고객응대근로자 전화연결음 25종을 게시하오니, 사업장 환경에 맞게 자유롭게 편집하여 활용하시기 바랍니다.</p>33-1.jpg4013#고객응대, #감정노동, #전화연결음, #전화, #콜, #콜센터, #건강보호, #음성안내, #음성2021-01-01https://www.kosha.or.kr/kosha/index.do2
2고객응대근로자 보호 전화연결음 - 남자2021한국산업안전보건공단한국산업안전보건공단한국<NA><p>2019~2020년에 개발된 고객응대근로자 전화연결음 25종을 게시하오니, 사업장 환경에 맞게 자유롭게 편집하여 활용하시기 바랍니다.</p>33-1.jpg4047#고객응대, #감정노동, #전화연결음, #전화, #콜, #콜센터, #건강보호, #음성안내, #음성2021-01-01https://www.kosha.or.kr/kosha/index.do2