Overview

Dataset statistics

Number of variables8
Number of observations28
Missing cells10
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory70.7 B

Variable types

Text4
DateTime2
Numeric2

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/6f1a3ebe-e777-4941-89c3-3de8559b51a0

Alerts

수집일 has constant value ""Constant
키워드빈도 is highly overall correlated with 키워드중요도High correlation
키워드중요도 is highly overall correlated with 키워드빈도High correlation
설명 has 3 (10.7%) missing valuesMissing
생성일 has 7 (25.0%) missing valuesMissing
채널ID has unique valuesUnique
채널명 has unique valuesUnique
키워드중요도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:52:24.904872
Analysis finished2023-12-10 13:52:26.643444
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널ID
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T22:52:26.917965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters672
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowUCz1W1_XpIY8bO2pGTcZ66Wg
2nd rowUCr7cxePaG7vmHxCq7cTd-6g
3rd rowUC85mXeWRaycnlFmrhBdaAlg
4th rowUCiRw9xGyL2b6lYfWR1ASIaA
5th rowUCwefo4CEIKzvNXCFiuaR52g
ValueCountFrequency (%)
ucz1w1_xpiy8bo2pgtcz66wg 1
 
3.6%
ucr7cxepag7vmhxcq7ctd-6g 1
 
3.6%
ucf9kbus_n0k7l3hp5uk5jeg 1
 
3.6%
ucq9avjwicljwa-meck1hkpa 1
 
3.6%
uc3ge0wod-jqdp-hkrt1z_ug 1
 
3.6%
uczz58-h0wzmgofi3mo_9epq 1
 
3.6%
ucvbn7e23gymjec671kuu8uw 1
 
3.6%
uci_oayounwllza12w4u0whw 1
 
3.6%
uc81bxggwnjen7plpjfci9uw 1
 
3.6%
ucxwmvjk2fohvx3dbtmyygmg 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T22:52:27.546939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 41
 
6.1%
U 35
 
5.2%
w 23
 
3.4%
g 22
 
3.3%
e 18
 
2.7%
6 15
 
2.2%
A 15
 
2.2%
b 14
 
2.1%
7 13
 
1.9%
c 13
 
1.9%
Other values (54) 463
68.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 282
42.0%
Lowercase Letter 265
39.4%
Decimal Number 107
 
15.9%
Connector Punctuation 10
 
1.5%
Dash Punctuation 8
 
1.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 41
 
14.5%
U 35
 
12.4%
A 15
 
5.3%
F 12
 
4.3%
G 11
 
3.9%
H 11
 
3.9%
N 11
 
3.9%
Q 11
 
3.9%
L 10
 
3.5%
I 10
 
3.5%
Other values (16) 115
40.8%
Lowercase Letter
ValueCountFrequency (%)
w 23
 
8.7%
g 22
 
8.3%
e 18
 
6.8%
b 14
 
5.3%
c 13
 
4.9%
a 12
 
4.5%
n 12
 
4.5%
y 11
 
4.2%
u 11
 
4.2%
k 10
 
3.8%
Other values (16) 119
44.9%
Decimal Number
ValueCountFrequency (%)
6 15
14.0%
7 13
12.1%
1 12
11.2%
2 11
10.3%
9 11
10.3%
8 11
10.3%
3 10
9.3%
5 10
9.3%
4 7
6.5%
0 7
6.5%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 547
81.4%
Common 125
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 41
 
7.5%
U 35
 
6.4%
w 23
 
4.2%
g 22
 
4.0%
e 18
 
3.3%
A 15
 
2.7%
b 14
 
2.6%
c 13
 
2.4%
a 12
 
2.2%
n 12
 
2.2%
Other values (42) 342
62.5%
Common
ValueCountFrequency (%)
6 15
12.0%
7 13
10.4%
1 12
9.6%
2 11
8.8%
9 11
8.8%
8 11
8.8%
3 10
8.0%
5 10
8.0%
_ 10
8.0%
- 8
6.4%
Other values (2) 14
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 41
 
6.1%
U 35
 
5.2%
w 23
 
3.4%
g 22
 
3.3%
e 18
 
2.7%
6 15
 
2.2%
A 15
 
2.2%
b 14
 
2.1%
7 13
 
1.9%
c 13
 
1.9%
Other values (54) 463
68.9%

채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T22:52:27.963364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length9.9642857
Min length2

Characters and Unicode

Total characters279
Distinct characters131
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

Unique28 ?
Unique (%)100.0%

Sample

1st row경기도교육청TV
2nd rowReynah
3rd row남자커피 Namja Coffee
4th rowBackhoe TV
5th row한국지식재산보호원
ValueCountFrequency (%)
tv 2
 
4.8%
경기도교육청tv 1
 
2.4%
유나 1
 
2.4%
daedue 1
 
2.4%
hahakidstoy 1
 
2.4%
하하키즈토이 1
 
2.4%
양평톡톡 1
 
2.4%
허니또♥ 1
 
2.4%
서울특별시평생교육진흥원 1
 
2.4%
커플특공대couplesf 1
 
2.4%
Other values (31) 31
73.8%
2023-12-10T22:52:28.585608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
5.0%
o 11
 
3.9%
a 10
 
3.6%
T 10
 
3.6%
e 9
 
3.2%
V 8
 
2.9%
n 8
 
2.9%
i 6
 
2.2%
d 6
 
2.2%
A 5
 
1.8%
Other values (121) 192
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
42.7%
Lowercase Letter 82
29.4%
Uppercase Letter 55
19.7%
Space Separator 14
 
5.0%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%
Other Symbol 1
 
0.4%
Dash Punctuation 1
 
0.4%
Connector Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 3
 
2.5%
공 3
 
2.5%
하 3
 
2.5%
시 3
 
2.5%
이 3
 
2.5%
대 3
 
2.5%
톡 2
 
1.7%
튜 2
 
1.7%
기 2
 
1.7%
서 2
 
1.7%
Other values (75) 93
78.2%
Lowercase Letter
ValueCountFrequency (%)
o 11
13.4%
a 10
12.2%
e 9
11.0%
n 8
9.8%
i 6
 
7.3%
d 6
 
7.3%
k 5
 
6.1%
s 4
 
4.9%
l 3
 
3.7%
y 3
 
3.7%
Other values (10) 17
20.7%
Uppercase Letter
ValueCountFrequency (%)
T 10
18.2%
V 8
14.5%
A 5
9.1%
C 5
9.1%
D 3
 
5.5%
U 3
 
5.5%
F 3
 
5.5%
H 3
 
5.5%
R 3
 
5.5%
S 2
 
3.6%
Other values (8) 10
18.2%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Symbol
ValueCountFrequency (%)
♥ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 137
49.1%
Hangul 119
42.7%
Common 23
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 3
 
2.5%
공 3
 
2.5%
하 3
 
2.5%
시 3
 
2.5%
이 3
 
2.5%
대 3
 
2.5%
톡 2
 
1.7%
튜 2
 
1.7%
기 2
 
1.7%
서 2
 
1.7%
Other values (75) 93
78.2%
Latin
ValueCountFrequency (%)
o 11
 
8.0%
a 10
 
7.3%
T 10
 
7.3%
e 9
 
6.6%
V 8
 
5.8%
n 8
 
5.8%
i 6
 
4.4%
d 6
 
4.4%
A 5
 
3.6%
C 5
 
3.6%
Other values (28) 59
43.1%
Common
ValueCountFrequency (%)
14
60.9%
( 2
 
8.7%
) 2
 
8.7%
♥ 1
 
4.3%
] 1
 
4.3%
- 1
 
4.3%
[ 1
 
4.3%
_ 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159
57.0%
Hangul 119
42.7%
Misc Symbols 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
 
8.8%
o 11
 
6.9%
a 10
 
6.3%
T 10
 
6.3%
e 9
 
5.7%
V 8
 
5.0%
n 8
 
5.0%
i 6
 
3.8%
d 6
 
3.8%
A 5
 
3.1%
Other values (35) 72
45.3%
Hangul
ValueCountFrequency (%)
진 3
 
2.5%
공 3
 
2.5%
하 3
 
2.5%
시 3
 
2.5%
이 3
 
2.5%
대 3
 
2.5%
톡 2
 
1.7%
튜 2
 
1.7%
기 2
 
1.7%
서 2
 
1.7%
Other values (75) 93
78.2%
Misc Symbols
ValueCountFrequency (%)
♥ 1
100.0%

수집일
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2021-08-01 00:00:00
Maximum2021-08-01 00:00:00
2023-12-10T22:52:28.861075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:29.005754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

설명
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing3
Missing (%)10.7%
Memory size356.0 B
2023-12-10T22:52:29.350199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length471
Median length103
Mean length136.32
Min length6

Characters and Unicode

Total characters3408
Distinct characters436
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도교육청
2nd row피아노로_덕질하기 . 본격 자기만족 프로젝트 세상의 사랑하는 모든 것에 대한 마음을 담아 피아노를 칩니다. . Piano : Roland RD-2000; Kurzweil Mark-10; SP4-8 Camera : Panasonic GX85; GF7; Samsung Galaxy Series . Email : rainyreynah@gmail.com Instagram : @__reynah Twitter : @reynah_P
3rd row안녕하세요 커피와 음료를 사랑하는 남자커피 입니다!! 집에서 쉽게 만들수있는 음료 레시피 소개와 재미있는 커피상식들을 알려 드리고 싶어 운영하는 채널입니다. 부족할수있지만 재미있게 봐주세요!! 문의 - bakasa0817@gmail.com
4th rowWelcome to Backhoe TV Thank you so much for watching Videos! Have a Nice Day! :)
5th row골든단비 채널에 와주셔서 감사합니다. 단비는 미국 북서부에 살고 있는 암컷 잉글리시 크림 골든 리트리버입니다. 앞으로 미국 북서부의 아름다운 자연을 즐기는 단비의 모습과 성장 과정을 천천히 보여드릴 수 있도록 노력할게요. 재미있게 보셨다면 좋아요와 구독 그리고 소중한 의견 부탁 드릴게요 :) 인스타그램 - https:www.instagram.comgoldendanbi
ValueCountFrequency (%)
16
 
2.4%
유튜브 6
 
0.9%
공식 6
 
0.9%
감사합니다 5
 
0.8%
도시 4
 
0.6%
채널 4
 
0.6%
you 4
 
0.6%
수 4
 
0.6%
subscribe 4
 
0.6%
함께 4
 
0.6%
Other values (520) 597
91.3%
2023-12-10T22:52:29.933906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
685
 
20.1%
a 77
 
2.3%
o 62
 
1.8%
e 59
 
1.7%
. 54
 
1.6%
i 50
 
1.5%
r 48
 
1.4%
n 48
 
1.4%
다 47
 
1.4%
는 44
 
1.3%
Other values (426) 2234
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1599
46.9%
Lowercase Letter 709
20.8%
Space Separator 685
20.1%
Other Punctuation 157
 
4.6%
Uppercase Letter 146
 
4.3%
Decimal Number 63
 
1.8%
Close Punctuation 15
 
0.4%
Open Punctuation 10
 
0.3%
Other Symbol 10
 
0.3%
Dash Punctuation 6
 
0.2%
Other values (2) 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 47
 
2.9%
는 44
 
2.8%
이 42
 
2.6%
니 39
 
2.4%
하 35
 
2.2%
의 23
 
1.4%
시 23
 
1.4%
요 21
 
1.3%
로 20
 
1.3%
상 20
 
1.3%
Other values (344) 1285
80.4%
Lowercase Letter
ValueCountFrequency (%)
a 77
 
10.9%
o 62
 
8.7%
e 59
 
8.3%
i 50
 
7.1%
r 48
 
6.8%
n 48
 
6.8%
t 43
 
6.1%
s 35
 
4.9%
l 34
 
4.8%
c 33
 
4.7%
Other values (15) 220
31.0%
Uppercase Letter
ValueCountFrequency (%)
T 14
 
9.6%
M 13
 
8.9%
C 10
 
6.8%
A 10
 
6.8%
V 10
 
6.8%
P 9
 
6.2%
R 9
 
6.2%
S 9
 
6.2%
I 8
 
5.5%
D 7
 
4.8%
Other values (13) 47
32.2%
Other Punctuation
ValueCountFrequency (%)
. 54
34.4%
! 28
17.8%
: 25
15.9%
; 24
15.3%
@ 10
 
6.4%
# 6
 
3.8%
? 4
 
2.5%
* 2
 
1.3%
& 2
 
1.3%
' 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 16
25.4%
1 12
19.0%
2 12
19.0%
5 6
 
9.5%
8 5
 
7.9%
7 4
 
6.3%
6 2
 
3.2%
4 2
 
3.2%
9 2
 
3.2%
3 2
 
3.2%
Other Symbol
ValueCountFrequency (%)
▶ 3
30.0%
★ 3
30.0%
ⓒ 2
20.0%
♡ 2
20.0%
Close Punctuation
ValueCountFrequency (%)
) 10
66.7%
] 3
 
20.0%
〉 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 5
50.0%
[ 3
30.0%
〈 2
 
20.0%
Space Separator
ValueCountFrequency (%)
685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1599
46.9%
Common 954
28.0%
Latin 855
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 47
 
2.9%
는 44
 
2.8%
이 42
 
2.6%
니 39
 
2.4%
하 35
 
2.2%
의 23
 
1.4%
시 23
 
1.4%
요 21
 
1.3%
로 20
 
1.3%
상 20
 
1.3%
Other values (344) 1285
80.4%
Latin
ValueCountFrequency (%)
a 77
 
9.0%
o 62
 
7.3%
e 59
 
6.9%
i 50
 
5.8%
r 48
 
5.6%
n 48
 
5.6%
t 43
 
5.0%
s 35
 
4.1%
l 34
 
4.0%
c 33
 
3.9%
Other values (38) 366
42.8%
Common
ValueCountFrequency (%)
685
71.8%
. 54
 
5.7%
! 28
 
2.9%
: 25
 
2.6%
; 24
 
2.5%
0 16
 
1.7%
1 12
 
1.3%
2 12
 
1.3%
@ 10
 
1.0%
) 10
 
1.0%
Other values (24) 78
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1795
52.7%
Hangul 1596
46.8%
Misc Symbols 5
 
0.1%
None 4
 
0.1%
Geometric Shapes 3
 
0.1%
Compat Jamo 3
 
0.1%
Enclosed Alphanum 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
685
38.2%
a 77
 
4.3%
o 62
 
3.5%
e 59
 
3.3%
. 54
 
3.0%
i 50
 
2.8%
r 48
 
2.7%
n 48
 
2.7%
t 43
 
2.4%
s 35
 
1.9%
Other values (66) 634
35.3%
Hangul
ValueCountFrequency (%)
다 47
 
2.9%
는 44
 
2.8%
이 42
 
2.6%
니 39
 
2.4%
하 35
 
2.2%
의 23
 
1.4%
시 23
 
1.4%
요 21
 
1.3%
로 20
 
1.3%
상 20
 
1.3%
Other values (342) 1282
80.3%
Geometric Shapes
ValueCountFrequency (%)
▶ 3
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 3
60.0%
♡ 2
40.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 2
100.0%
None
ValueCountFrequency (%)
〉 2
50.0%
〈 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 2
66.7%
ㅋ 1
33.3%

생성일
Date

MISSING 

Distinct20
Distinct (%)95.2%
Missing7
Missing (%)25.0%
Memory size356.0 B
Minimum2011-03-18 00:00:00
Maximum2019-04-23 00:00:00
2023-12-10T22:52:30.144067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:30.323198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

키워드
Text

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T22:52:30.579513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.3928571
Min length2

Characters and Unicode

Total characters67
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)50.0%

Sample

1st row부천시
2nd row투자
3rd row크리에이터
4th row낚시
5th row대회
ValueCountFrequency (%)
크리에이터 3
 
10.7%
먹방 3
 
10.7%
맛집 3
 
10.7%
축제 3
 
10.7%
여행 2
 
7.1%
산업 1
 
3.6%
부천시 1
 
3.6%
인구 1
 
3.6%
수출 1
 
3.6%
정책 1
 
3.6%
Other values (9) 9
32.1%
2023-12-10T22:52:31.047362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 4
 
6.0%
크 3
 
4.5%
먹 3
 
4.5%
리 3
 
4.5%
맛 3
 
4.5%
방 3
 
4.5%
집 3
 
4.5%
제 3
 
4.5%
축 3
 
4.5%
터 3
 
4.5%
Other values (30) 36
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
 
6.0%
크 3
 
4.5%
먹 3
 
4.5%
리 3
 
4.5%
맛 3
 
4.5%
방 3
 
4.5%
집 3
 
4.5%
제 3
 
4.5%
축 3
 
4.5%
터 3
 
4.5%
Other values (30) 36
53.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
 
6.0%
크 3
 
4.5%
먹 3
 
4.5%
리 3
 
4.5%
맛 3
 
4.5%
방 3
 
4.5%
집 3
 
4.5%
제 3
 
4.5%
축 3
 
4.5%
터 3
 
4.5%
Other values (30) 36
53.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 4
 
6.0%
크 3
 
4.5%
먹 3
 
4.5%
리 3
 
4.5%
맛 3
 
4.5%
방 3
 
4.5%
집 3
 
4.5%
제 3
 
4.5%
축 3
 
4.5%
터 3
 
4.5%
Other values (30) 36
53.7%

키워드빈도
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.428571
Minimum1
Maximum1422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T22:52:31.234007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q330.25
95-th percentile360.3
Maximum1422
Range1421
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation277.571
Coefficient of variation (CV)3.3270497
Kurtosis21.821375
Mean83.428571
Median Absolute Deviation (MAD)2
Skewness4.5532408
Sum2336
Variance77045.661
MonotonicityNot monotonic
2023-12-10T22:52:31.449997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 8
28.6%
2 4
14.3%
3 3
 
10.7%
4 3
 
10.7%
34 1
 
3.6%
459 1
 
3.6%
1422 1
 
3.6%
5 1
 
3.6%
29 1
 
3.6%
47 1
 
3.6%
Other values (4) 4
14.3%
ValueCountFrequency (%)
1 8
28.6%
2 4
14.3%
3 3
 
10.7%
4 3
 
10.7%
5 1
 
3.6%
15 1
 
3.6%
29 1
 
3.6%
34 1
 
3.6%
43 1
 
3.6%
47 1
 
3.6%
ValueCountFrequency (%)
1422 1
3.6%
459 1
3.6%
177 1
3.6%
68 1
3.6%
47 1
3.6%
43 1
3.6%
34 1
3.6%
29 1
3.6%
15 1
3.6%
5 1
3.6%

키워드중요도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.715357
Minimum0.525
Maximum1352.066
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T22:52:31.729632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.525
5-th percentile0.64715
Q11.29025
median2.657
Q321.346
95-th percentile150.1055
Maximum1352.066
Range1351.541
Interquartile range (IQR)20.05575

Descriptive statistics

Standard deviation255.02639
Coefficient of variation (CV)3.6581092
Kurtosis26.218768
Mean69.715357
Median Absolute Deviation (MAD)1.684
Skewness5.0582979
Sum1952.03
Variance65038.46
MonotonicityNot monotonic
2023-12-10T22:52:31.946747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.233 1
 
3.6%
2.625 1
 
3.6%
28.504 1
 
3.6%
1.566 1
 
3.6%
138.62 1
 
3.6%
2.745 1
 
3.6%
123.168 1
 
3.6%
18.96 1
 
3.6%
1.661 1
 
3.6%
1.05 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
0.525 1
3.6%
0.574 1
3.6%
0.783 1
3.6%
0.896 1
3.6%
1.05 1
3.6%
1.124 1
3.6%
1.183 1
3.6%
1.326 1
3.6%
1.566 1
3.6%
1.588 1
3.6%
ValueCountFrequency (%)
1352.066 1
3.6%
156.29 1
3.6%
138.62 1
3.6%
123.168 1
3.6%
45.404 1
3.6%
42.13 1
3.6%
28.504 1
3.6%
18.96 1
3.6%
11.577 1
3.6%
4.919 1
3.6%

Interactions

2023-12-10T22:52:25.859860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:25.572485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:26.032620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:52:25.715173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:52:32.106950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널ID채널명설명생성일키워드키워드빈도키워드중요도
채널ID1.0001.0001.0001.0001.0001.0001.000
채널명1.0001.0001.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.000
생성일1.0001.0001.0001.0000.9011.0001.000
키워드1.0001.0001.0000.9011.0000.0000.542
키워드빈도1.0001.0001.0001.0000.0001.0001.000
키워드중요도1.0001.0001.0001.0000.5421.0001.000
2023-12-10T22:52:32.295304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키워드빈도키워드중요도
키워드빈도1.0000.899
키워드중요도0.8991.000

Missing values

2023-12-10T22:52:26.244307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:52:26.414242image/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.
2023-12-10T22:52:26.562834image/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

채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
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2UC85mXeWRaycnlFmrhBdaAlg남자커피 Namja Coffee2021-08-01안녕하세요 커피와 음료를 사랑하는 남자커피 입니다!! 집에서 쉽게 만들수있는 음료 레시피 소개와 재미있는 커피상식들을 알려 드리고 싶어 운영하는 채널입니다. 부족할수있지만 재미있게 봐주세요!! 문의 - bakasa0817@gmail.com2018-08-18크리에이터32.689
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7UCnQDbjSC6c8C6A5e-qbRCnQ꽁쿡 kkongcook2021-08-01<NA>2016-09-24맛집21.326
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채널ID채널명수집일설명생성일키워드키워드빈도키워드중요도
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26UCF9KbuS_N0K7l3Hp5uk5Jeg래춘씨 생존기2021-08-01캠핑카(RV)에 살며 생존하기에 도전한 독거 청년 래춘이예요. 매일이 캠핑이다! 캠핑카 생활로 사는 래춘씨 나 혼자 캠핑카에 산다. 캠핑카 생존기는 실제 전기와 물은 어떻게 해결하는지? 샤워는? 화장실은? 그리고 빨래까지 알아볼 거예요. 달리는 별장; 떠난 곳이 집이요 일상이 휴가; 도시 속 휴양; 그럴듯한 장밋빛 얘기는 많지만 실제 캠핑카로 서울에서 살면 벌어지는 일을 알아보아요! 물론 제가 가진 게 거의 없는 거지에 가깝다는 게 더욱 문제지만요! 혹시 개인적인 문의사항이 있으시면 rhism12@gmail.com 이쪽으로 메일 주시면 가끔 래춘씨가 메일을 열어봅니다. 무작정 캠핑카에 오겠다 하시면 문 알 열어 드립니다 남자 혼자 사는 제 개인 집이잖아요ㅋ 택배는 [서울시 용산구 서빙고로 17 센트럴파크타워; 30층 샌드박스 래춘씨캠핑카생존기(campingcar)]로 받습니다 (냉장보관 불가능하기 때문에 식품류는 못 받아요)2011-03-18축제21.566
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