Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory78.5 B

Variable types

Text3
DateTime3
Categorical2
Numeric1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/f526240a-0547-40b1-be6c-a790d3d1fdbd

Alerts

수집일 has constant value ""Constant
경로명 is highly overall correlated with 글제목High correlation
글제목 is highly overall correlated with 경로명High correlation
ID has unique valuesUnique
설명 has unique valuesUnique
has 9 (37.5%) zerosZeros

Reproduction

Analysis started2023-12-10 14:21:53.065407
Analysis finished2023-12-10 14:21:53.768705
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

ID
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:21:53.924958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters624
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowUgwiPo_12gDFe9yx0XF4AaABAg
2nd rowUgxmFHjO4Zwg7yb40_h4AaABAg
3rd rowUgwt2zZZ_wa1CjT9MVx4AaABAg
4th rowUgzDuBQcoQ9y0UVW7I94AaABAg
5th rowUgxG7V186DWcGCcdIjV4AaABAg
ValueCountFrequency (%)
ugwipo_12gdfe9yx0xf4aaabag 1
 
4.2%
ugxmfhjo4zwg7yb40_h4aaabag 1
 
4.2%
ugzm_nxzgmvqike6scb4aaabag 1
 
4.2%
ugy4tcrygcfukq4_mhj4aaabag 1
 
4.2%
ugza1bdzrc6wexhx9xr4aaabag 1
 
4.2%
ugzatlevpvl74j1ziyv4aaabag 1
 
4.2%
ugxmzapchsaohsu5bhj4aaabag 1
 
4.2%
ugyixouuev-4jwvu1454aaabag 1
 
4.2%
ugwxeozzn_jxuhkqccj4aaabag 1
 
4.2%
ugy3qwh5-ttkb6e8aqp4aaabag 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T23:21:54.300954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 82
 
13.1%
g 53
 
8.5%
a 32
 
5.1%
4 32
 
5.1%
U 30
 
4.8%
B 29
 
4.6%
w 14
 
2.2%
y 12
 
1.9%
c 12
 
1.9%
z 12
 
1.9%
Other values (54) 316
50.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 270
43.3%
Lowercase Letter 251
40.2%
Decimal Number 86
 
13.8%
Connector Punctuation 11
 
1.8%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 82
30.4%
U 30
 
11.1%
B 29
 
10.7%
V 10
 
3.7%
Z 10
 
3.7%
R 9
 
3.3%
J 8
 
3.0%
M 7
 
2.6%
I 7
 
2.6%
Q 7
 
2.6%
Other values (16) 71
26.3%
Lowercase Letter
ValueCountFrequency (%)
g 53
21.1%
a 32
 
12.7%
w 14
 
5.6%
y 12
 
4.8%
c 12
 
4.8%
z 12
 
4.8%
x 10
 
4.0%
q 9
 
3.6%
t 8
 
3.2%
e 8
 
3.2%
Other values (16) 81
32.3%
Decimal Number
ValueCountFrequency (%)
4 32
37.2%
1 8
 
9.3%
6 7
 
8.1%
0 7
 
8.1%
9 7
 
8.1%
5 6
 
7.0%
2 6
 
7.0%
8 5
 
5.8%
7 5
 
5.8%
3 3
 
3.5%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 521
83.5%
Common 103
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 82
 
15.7%
g 53
 
10.2%
a 32
 
6.1%
U 30
 
5.8%
B 29
 
5.6%
w 14
 
2.7%
y 12
 
2.3%
c 12
 
2.3%
z 12
 
2.3%
x 10
 
1.9%
Other values (42) 235
45.1%
Common
ValueCountFrequency (%)
4 32
31.1%
_ 11
 
10.7%
1 8
 
7.8%
6 7
 
6.8%
0 7
 
6.8%
9 7
 
6.8%
- 6
 
5.8%
5 6
 
5.8%
2 6
 
5.8%
8 5
 
4.9%
Other values (2) 8
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 82
 
13.1%
g 53
 
8.5%
a 32
 
5.1%
4 32
 
5.1%
U 30
 
4.8%
B 29
 
4.6%
w 14
 
2.2%
y 12
 
1.9%
c 12
 
1.9%
z 12
 
1.9%
Other values (54) 316
50.6%

설명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:21:54.650779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length270
Median length37.5
Mean length39.916667
Min length10

Characters and Unicode

Total characters958
Distinct characters242
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row뉴스에 저도 방문가능 나오드만 바로 시 시정뉴스 발빠른 정보 ㅤㄱㅠㅅ
2nd row치과의사가 천만원씩미납하네ㄷㄷ
3rd row환경단체 믿을수 없음
4th row시장에서 파는 치킨도 맛나다....
5th rowin 2016; I and my friends created a mannequin challenge video located in front of the classroom.
ValueCountFrequency (%)
i 5
 
2.7%
kdis 3
 
1.6%
love 3
 
1.6%
the 3
 
1.6%
제천시 3
 
1.6%
to 2
 
1.1%
2
 
1.1%
nice 2
 
1.1%
of 2
 
1.1%
너무 2
 
1.1%
Other values (154) 158
85.4%
2023-12-10T23:21:55.184444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
19.7%
e 41
 
4.3%
o 26
 
2.7%
n 25
 
2.6%
i 23
 
2.4%
t 21
 
2.2%
a 20
 
2.1%
l 18
 
1.9%
18
 
1.9%
s 16
 
1.7%
Other values (232) 561
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
41.1%
Lowercase Letter 304
31.7%
Space Separator 189
19.7%
Uppercase Letter 24
 
2.5%
Other Punctuation 23
 
2.4%
Decimal Number 12
 
1.3%
Modifier Symbol 4
 
0.4%
Other Symbol 3
 
0.3%
Connector Punctuation 2
 
0.2%
Final Punctuation 1
 
0.1%
Other values (2) 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
4.6%
16
 
4.1%
13
 
3.3%
9
 
2.3%
8
 
2.0%
7
 
1.8%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
Other values (184) 299
75.9%
Lowercase Letter
ValueCountFrequency (%)
e 41
13.5%
o 26
 
8.6%
n 25
 
8.2%
i 23
 
7.6%
t 21
 
6.9%
a 20
 
6.6%
l 18
 
5.9%
s 16
 
5.3%
d 14
 
4.6%
c 14
 
4.6%
Other values (13) 86
28.3%
Uppercase Letter
ValueCountFrequency (%)
I 10
41.7%
K 4
 
16.7%
D 4
 
16.7%
S 3
 
12.5%
A 1
 
4.2%
N 1
 
4.2%
L 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 3
25.0%
0 2
16.7%
6 1
 
8.3%
4 1
 
8.3%
5 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
! 12
52.2%
. 8
34.8%
; 2
 
8.7%
? 1
 
4.3%
Other Symbol
ValueCountFrequency (%)
2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
189
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394
41.1%
Latin 328
34.2%
Common 236
24.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
4.6%
16
 
4.1%
13
 
3.3%
9
 
2.3%
8
 
2.0%
7
 
1.8%
7
 
1.8%
6
 
1.5%
6
 
1.5%
5
 
1.3%
Other values (184) 299
75.9%
Latin
ValueCountFrequency (%)
e 41
 
12.5%
o 26
 
7.9%
n 25
 
7.6%
i 23
 
7.0%
t 21
 
6.4%
a 20
 
6.1%
l 18
 
5.5%
s 16
 
4.9%
d 14
 
4.3%
c 14
 
4.3%
Other values (20) 110
33.5%
Common
ValueCountFrequency (%)
189
80.1%
! 12
 
5.1%
. 8
 
3.4%
2 4
 
1.7%
^ 4
 
1.7%
1 3
 
1.3%
; 2
 
0.8%
2
 
0.8%
_ 2
 
0.8%
0 2
 
0.8%
Other values (8) 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
58.5%
Hangul 363
37.9%
Compat Jamo 31
 
3.2%
Misc Symbols 2
 
0.2%
Punctuation 1
 
0.1%
Geometric Shapes 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
33.8%
e 41
 
7.3%
o 26
 
4.6%
n 25
 
4.5%
i 23
 
4.1%
t 21
 
3.8%
a 20
 
3.6%
l 18
 
3.2%
s 16
 
2.9%
d 14
 
2.5%
Other values (35) 167
29.8%
Compat Jamo
ValueCountFrequency (%)
18
58.1%
7
 
22.6%
2
 
6.5%
1
 
3.2%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Hangul
ValueCountFrequency (%)
16
 
4.4%
13
 
3.6%
9
 
2.5%
8
 
2.2%
7
 
1.9%
6
 
1.7%
6
 
1.7%
5
 
1.4%
5
 
1.4%
5
 
1.4%
Other values (177) 283
78.0%
Misc Symbols
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Geometric Shapes
ValueCountFrequency (%)
1
100.0%
Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2017-09-30 00:00:00
Maximum2020-06-19 00:00:00
2023-12-10T23:21:55.351593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:21:55.480075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:21:55.691334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.4583333
Min length3

Characters and Unicode

Total characters179
Distinct characters61
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

Unique22 ?
Unique (%)91.7%

Sample

1st row거제김동석
2nd row윤선조
3rd row바르게살자
4th row이동건
5th rowIndra Niptama
ValueCountFrequency (%)
kim 3
 
8.3%
intae 2
 
5.6%
jyjy 1
 
2.8%
jin 1
 
2.8%
thomas 1
 
2.8%
khmarx 1
 
2.8%
톡톡이 1
 
2.8%
장재훈 1
 
2.8%
inayat 1
 
2.8%
제천시 1
 
2.8%
Other values (23) 23
63.9%
2023-12-10T23:21:56.094312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 24
 
13.4%
12
 
6.7%
n 11
 
6.1%
m 9
 
5.0%
t 8
 
4.5%
i 8
 
4.5%
s 6
 
3.4%
h 6
 
3.4%
k 6
 
3.4%
y 5
 
2.8%
Other values (51) 84
46.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 115
64.2%
Other Letter 38
 
21.2%
Uppercase Letter 13
 
7.3%
Space Separator 12
 
6.7%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (20) 20
52.6%
Lowercase Letter
ValueCountFrequency (%)
a 24
20.9%
n 11
9.6%
m 9
 
7.8%
t 8
 
7.0%
i 8
 
7.0%
s 6
 
5.2%
h 6
 
5.2%
k 6
 
5.2%
y 5
 
4.3%
j 5
 
4.3%
Other values (12) 27
23.5%
Uppercase Letter
ValueCountFrequency (%)
I 4
30.8%
K 2
15.4%
N 2
15.4%
U 2
15.4%
M 1
 
7.7%
J 1
 
7.7%
A 1
 
7.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 128
71.5%
Hangul 38
 
21.2%
Common 13
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (20) 20
52.6%
Latin
ValueCountFrequency (%)
a 24
18.8%
n 11
 
8.6%
m 9
 
7.0%
t 8
 
6.2%
i 8
 
6.2%
s 6
 
4.7%
h 6
 
4.7%
k 6
 
4.7%
y 5
 
3.9%
j 5
 
3.9%
Other values (19) 40
31.2%
Common
ValueCountFrequency (%)
12
92.3%
- 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 141
78.8%
Hangul 38
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 24
17.0%
12
 
8.5%
n 11
 
7.8%
m 9
 
6.4%
t 8
 
5.7%
i 8
 
5.7%
s 6
 
4.3%
h 6
 
4.3%
k 6
 
4.3%
y 5
 
3.5%
Other values (21) 46
32.6%
Hangul
ValueCountFrequency (%)
3
 
7.9%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Other values (20) 20
52.6%

경로명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
https://www.youtube.com/watch?v=rY2IF9ALr6E
13 
https://www.youtube.com/watch?v=h2kehYmvZxQ
https://www.youtube.com/watch?v=9I5RLkQx1zs
https://www.youtube.com/watch?v=wB9JfrzSLbc
 
1
https://www.youtube.com/watch?v=KHMjIAWqiOs
 
1
Other values (2)

Length

Max length43
Median length43
Mean length43
Min length43

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st rowhttps://www.youtube.com/watch?v=wB9JfrzSLbc
2nd rowhttps://www.youtube.com/watch?v=KHMjIAWqiOs
3rd rowhttps://www.youtube.com/watch?v=NJbt2Ya8Y-8
4th rowhttps://www.youtube.com/watch?v=XGWYx-962Fw
5th rowhttps://www.youtube.com/watch?v=9I5RLkQx1zs

Common Values

ValueCountFrequency (%)
https://www.youtube.com/watch?v=rY2IF9ALr6E 13
54.2%
https://www.youtube.com/watch?v=h2kehYmvZxQ 5
 
20.8%
https://www.youtube.com/watch?v=9I5RLkQx1zs 2
 
8.3%
https://www.youtube.com/watch?v=wB9JfrzSLbc 1
 
4.2%
https://www.youtube.com/watch?v=KHMjIAWqiOs 1
 
4.2%
https://www.youtube.com/watch?v=NJbt2Ya8Y-8 1
 
4.2%
https://www.youtube.com/watch?v=XGWYx-962Fw 1
 
4.2%

Length

2023-12-10T23:21:56.227745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:56.396600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.youtube.com/watch?v=ry2if9alr6e 13
54.2%
https://www.youtube.com/watch?v=h2kehymvzxq 5
 
20.8%
https://www.youtube.com/watch?v=9i5rlkqx1zs 2
 
8.3%
https://www.youtube.com/watch?v=wb9jfrzslbc 1
 
4.2%
https://www.youtube.com/watch?v=khmjiawqios 1
 
4.2%
https://www.youtube.com/watch?v=njbt2ya8y-8 1
 
4.2%
https://www.youtube.com/watch?v=xgwyx-962fw 1
 
4.2%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2020-09-01 00:00:00
Maximum2020-09-01 00:00:00
2023-12-10T23:21:56.540142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:21:56.640324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)


Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5833333
Minimum0
Maximum8
Zeros9
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:21:56.742494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.85
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.976309
Coefficient of variation (CV)1.2481951
Kurtosis3.8088048
Mean1.5833333
Median Absolute Deviation (MAD)1
Skewness1.8189831
Sum38
Variance3.9057971
MonotonicityNot monotonic
2023-12-10T23:21:56.873938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9
37.5%
2 6
25.0%
1 5
20.8%
4 2
 
8.3%
8 1
 
4.2%
5 1
 
4.2%
ValueCountFrequency (%)
0 9
37.5%
1 5
20.8%
2 6
25.0%
4 2
 
8.3%
5 1
 
4.2%
8 1
 
4.2%
ValueCountFrequency (%)
8 1
 
4.2%
5 1
 
4.2%
4 2
 
8.3%
2 6
25.0%
1 5
20.8%
0 9
37.5%
Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2017-09-30 00:00:00
Maximum2020-06-19 00:00:00
2023-12-10T23:21:56.987173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:21:57.086837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

글제목
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
13 
[KDI School Student Interview] Who We Are - Anindita; Policymaker in Trade and Industry(ENGKOR sub)
A day of KDI School student
문재인 대통령 거제시 저도 방문
 
1
[tbsTV] 과태료 최대 ‘126건’ 미납…서울시 체납차량 단속
 
1
Other values (2)

Length

Max length99
Median length38
Mean length47.875
Min length18

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row문재인 대통령 거제시 저도 방문
2nd row[tbsTV] 과태료 최대 ‘126건’ 미납…서울시 체납차량 단속
3rd row침대 이어 침구도…라돈 공포 확산 [김성수의 시시각각]
4th row치킨도 이젠 금값 시대? [tbs셀카봉]
5th rowA day of KDI School student

Common Values

ValueCountFrequency (%)
제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2) 13
54.2%
[KDI School Student Interview] Who We Are - Anindita; Policymaker in Trade and Industry(ENGKOR sub) 5
 
20.8%
A day of KDI School student 2
 
8.3%
문재인 대통령 거제시 저도 방문 1
 
4.2%
[tbsTV] 과태료 최대 ‘126건’ 미납…서울시 체납차량 단속 1
 
4.2%
침대 이어 침구도…라돈 공포 확산 [김성수의 시시각각] 1
 
4.2%
치킨도 이젠 금값 시대? [tbs셀카봉] 1
 
4.2%

Length

2023-12-10T23:21:57.233225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:57.361950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제2회 13
 
6.9%
2행시경연대회(feat 13
 
6.9%
겨울왕국 13
 
6.9%
제천페스티벌 13
 
6.9%
시즌2 13
 
6.9%
저세상 13
 
6.9%
kdi 7
 
3.7%
school 7
 
3.7%
student 7
 
3.7%
policymaker 5
 
2.6%
Other values (38) 85
45.0%

Interactions

2023-12-10T23:21:53.472158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:21:57.459263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ID설명생성일작성자경로명수정시간글제목
ID1.0001.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.0001.000
생성일1.0001.0001.0001.0001.0000.6511.0001.000
작성자1.0001.0001.0001.0001.0001.0001.0001.000
경로명1.0001.0001.0001.0001.0000.1351.0001.000
1.0001.0000.6511.0000.1351.0000.5430.135
수정시간1.0001.0001.0001.0001.0000.5431.0001.000
글제목1.0001.0001.0001.0001.0000.1351.0001.000
2023-12-10T23:21:57.597692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경로명글제목
경로명1.0001.000
글제목1.0001.000
2023-12-10T23:21:57.692865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경로명글제목
1.0000.0000.000
경로명0.0001.0001.000
글제목0.0001.0001.000

Missing values

2023-12-10T23:21:53.594604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:21:53.723305image/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

ID설명생성일작성자경로명수집일수정시간글제목
0UgwiPo_12gDFe9yx0XF4AaABAg뉴스에 저도 방문가능 나오드만 바로 시 시정뉴스 발빠른 정보 ㅤㄱㅠㅅ2019-07-31거제김동석https://www.youtube.com/watch?v=wB9JfrzSLbc2020-09-0122019-07-31문재인 대통령 거제시 저도 방문
1UgxmFHjO4Zwg7yb40_h4AaABAg치과의사가 천만원씩미납하네ㄷㄷ2017-09-30윤선조https://www.youtube.com/watch?v=KHMjIAWqiOs2020-09-0112017-09-30[tbsTV] 과태료 최대 ‘126건’ 미납…서울시 체납차량 단속
2Ugwt2zZZ_wa1CjT9MVx4AaABAg환경단체 믿을수 없음2019-04-08바르게살자https://www.youtube.com/watch?v=NJbt2Ya8Y-82020-09-0102019-04-08침대 이어 침구도…라돈 공포 확산 [김성수의 시시각각]
3UgzDuBQcoQ9y0UVW7I94AaABAg시장에서 파는 치킨도 맛나다....2018-11-21이동건https://www.youtube.com/watch?v=XGWYx-962Fw2020-09-0102018-11-21치킨도 이젠 금값 시대? [tbs셀카봉]
4UgxG7V186DWcGCcdIjV4AaABAgin 2016; I and my friends created a mannequin challenge video located in front of the classroom.2020-01-23Indra Niptamahttps://www.youtube.com/watch?v=9I5RLkQx1zs2020-09-0102020-01-23A day of KDI School student
5Ugyi6kIla_i4MwbRwAd4AaABAgI can’t wait to come on here already I love KDIS screaming!!!!2020-06-19Uwakmfon Joshuahttps://www.youtube.com/watch?v=9I5RLkQx1zs2020-09-0112020-06-19A day of KDI School student
6Ugw6R0ApukeswfdkGAt4AaABAgI love the school dedication to produce the best2020-05-25lenti- johnwesthttps://www.youtube.com/watch?v=h2kehYmvZxQ2020-09-0182020-05-25[KDI School Student Interview] Who We Are - Anindita; Policymaker in Trade and Industry(ENGKOR sub)
7Ugzz5-RV2uKM-A_0Pqh4AaABAgnice video but please upload more lectures!!2020-05-28Niktra maanhttps://www.youtube.com/watch?v=h2kehYmvZxQ2020-09-0112020-05-28[KDI School Student Interview] Who We Are - Anindita; Policymaker in Trade and Industry(ENGKOR sub)
8UgwRq30VztjM8qrVQqJ4AaABAgIncredible Alumni of KDI2020-05-27Abbas Malikhttps://www.youtube.com/watch?v=h2kehYmvZxQ2020-09-0142020-05-27[KDI School Student Interview] Who We Are - Anindita; Policymaker in Trade and Industry(ENGKOR sub)
9UgwdqBece52zaFMvTRN4AaABAgI love KDIS2020-05-26amsaroka hayanhttps://www.youtube.com/watch?v=h2kehYmvZxQ2020-09-0142020-05-26[KDI School Student Interview] Who We Are - Anindita; Policymaker in Trade and Industry(ENGKOR sub)
ID설명생성일작성자경로명수집일수정시간글제목
14UgwX8hCJOg8XItEJ6U94AaABAg페스티벌 꼭 놀러갈게요^^2019-11-27핫한영월https://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0122019-11-27제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
15Ugy3QWh5-ttKb6e8aQp4AaABAg넘 재밌어요 ㅎㅎ 제천시 화이팅!!2019-11-26sanga kimhttps://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0112019-11-26제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
16UgwxeoZZn_jXUHkQccJ4AaABAg○당첨자명단(좋아요 5인 포함) ☆인스타그램 themostthings hyeongsangweon _s_hyun yulmin0mam superstar.kids begentleboy dmsgp14 ☆페이스북 안민철 김수완 김인태 박혜진 이순호 정소정 현혜경 김성환 안희철 김상태 홍성하 유녕이 최윤서 당첨되신분들은 12월 2일까지 제천시 공식 페이스북 및 인스타그램 메시지를통해 경품 수령위한 성명; 연락처를 개인정보수집동의 문구와함께 보내주세요2019-11-25제천시https://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0122019-12-01제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
17UgyIxouUEv-4jWvu1454AaABAg편집은 외주 주는건가요? 생각보다 꽤 웃기네요 ㅋ2019-11-25박진태https://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0122019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
18UgxMZApcHSAOHSu5BhJ4AaABAgㅎㅎㅎ 날씨 만큼 컨텐츠가 추웠음 ㅎㅎ 겨울왕국 제천 놀러갈께요2019-11-25장재훈https://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0122019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
19UgzaTLEVpvl74j1zIYV4AaABAg여러 시도를 하는 제천시의 노력하는 모습이 보기 좋네요!2019-11-25톡톡이https://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0102019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
20Ugza1BDzrC6WExhx9XR4AaABAg너무 재밌어요 제천시 최고2019-11-25khmarxhttps://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0112019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
21Ugy4tCryGcFUkq4_mHJ4AaABAg당첨 감사합니다 ㅋㅋ 여자분 멋지시네요2019-11-25Intae Kimhttps://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0102019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
22Ugzm_NXZGMvqike6scB4AaABAg존내 웃기네 ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ 이걸 살리시네2019-11-25Intae Kimhttps://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0102019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)
23UgxyAzcjDAgOHWebccZ4AaABAgㅋㅋㅋㅋ 괜찮아요 덕분에 한번 더 웃었어요 영어가 원래 어렵잖아요^^2019-11-25jyjy jyhttps://www.youtube.com/watch?v=rY2IF9ALr6E2020-09-0122019-11-25제2회 저세상 2행시경연대회(feat. 겨울왕국 제천페스티벌 시즌2)