Overview

Dataset statistics

Number of variables22
Number of observations28
Missing cells61
Missing cells (%)9.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory197.7 B

Variable types

Text3
Categorical2
DateTime1
Numeric16

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/0fce6988-b25e-4837-98a3-47baff42b43c

Alerts

홍보지수수집일자 has constant value ""Constant
홍보지수채널설명 has 6 (21.4%) missing valuesMissing
채널생성일 has 11 (39.3%) missing valuesMissing
월간활성사용자수 has 2 (7.1%) missing valuesMissing
정량지수 has 9 (32.1%) missing valuesMissing
정성지수 has 2 (7.1%) missing valuesMissing
종합홍보지수 has 10 (35.7%) missing valuesMissing
정량지수표준점수 has 9 (32.1%) missing valuesMissing
정성지수표준점수 has 2 (7.1%) missing valuesMissing
종합홍보지수표준점수 has 10 (35.7%) missing valuesMissing
홍보지수채널ID has unique valuesUnique
홍보지수채널명 has unique valuesUnique
산출물수 has 2 (7.1%) zerosZeros
홍보지수구독자수 has 2 (7.1%) zerosZeros
총조회수 has 2 (7.1%) zerosZeros
총좋아요수 has 2 (7.1%) zerosZeros
총싫어요수 has 4 (14.3%) zerosZeros
월간활성사용자수 has 2 (7.1%) zerosZeros
최근조회수 has 14 (50.0%) zerosZeros
최근좋아요수 has 15 (53.6%) zerosZeros
최근싫어요수 has 16 (57.1%) zerosZeros
수 has 16 (57.1%) zerosZeros
정량지수 has 1 (3.6%) zerosZeros
정성지수 has 2 (7.1%) zerosZeros
정량지수표준점수 has 1 (3.6%) zerosZeros
정성지수표준점수 has 2 (7.1%) zerosZeros

Reproduction

Analysis started2023-12-10 14:22:07.199189
Analysis finished2023-12-10 14:22:08.575339
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

홍보지수채널ID
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:22:08.825011image/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 rowUCfV7aELAtpPBbixhf06Jlqg
2nd rowUCA5dXWL-EQ9UrDld11QG8BA
3rd rowUC8NcogQ-PSZmM62vntUV3YA
4th rowUCdNFMYKpVtmy_1wC8E0aEIw
5th rowUCPZ4e8BQEM-BlepSeZUESSw
ValueCountFrequency (%)
ucfv7aelatppbbixhf06jlqg 1
 
3.6%
uca5dxwl-eq9urdld11qg8ba 1
 
3.6%
ucgisss3odu2wj_bhh-ghvnw 1
 
3.6%
ucv5ycu6hygi5kpme_ty0oxg 1
 
3.6%
uc4silwphhsmk210xl74h3wg 1
 
3.6%
ucpygtgqhiu6rk4gcgckk1jg 1
 
3.6%
uc7fnde1go3xtrp-1muqmkkg 1
 
3.6%
uc9dpfivlnpbohm81mfghhsq 1
 
3.6%
ucs8scdqfzodubf-fvsne_zw 1
 
3.6%
uccm7jc50537emixvkvnu8-q 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:22:09.468884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 35
 
5.2%
C 33
 
4.9%
Q 20
 
3.0%
A 17
 
2.5%
g 16
 
2.4%
Z 15
 
2.2%
G 15
 
2.2%
H 14
 
2.1%
4 14
 
2.1%
S 14
 
2.1%
Other values (54) 479
71.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 307
45.7%
Lowercase Letter 242
36.0%
Decimal Number 103
 
15.3%
Connector Punctuation 10
 
1.5%
Dash Punctuation 10
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 35
 
11.4%
C 33
 
10.7%
Q 20
 
6.5%
A 17
 
5.5%
Z 15
 
4.9%
G 15
 
4.9%
H 14
 
4.6%
S 14
 
4.6%
B 13
 
4.2%
V 12
 
3.9%
Other values (16) 119
38.8%
Lowercase Letter
ValueCountFrequency (%)
g 16
 
6.6%
c 13
 
5.4%
v 13
 
5.4%
u 13
 
5.4%
p 13
 
5.4%
m 12
 
5.0%
k 12
 
5.0%
t 12
 
5.0%
d 11
 
4.5%
f 11
 
4.5%
Other values (16) 116
47.9%
Decimal Number
ValueCountFrequency (%)
4 14
13.6%
1 14
13.6%
6 12
11.7%
5 11
10.7%
0 11
10.7%
8 10
9.7%
3 9
8.7%
9 8
7.8%
2 7
6.8%
7 7
6.8%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 549
81.7%
Common 123
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 35
 
6.4%
C 33
 
6.0%
Q 20
 
3.6%
A 17
 
3.1%
g 16
 
2.9%
Z 15
 
2.7%
G 15
 
2.7%
H 14
 
2.6%
S 14
 
2.6%
c 13
 
2.4%
Other values (42) 357
65.0%
Common
ValueCountFrequency (%)
4 14
11.4%
1 14
11.4%
6 12
9.8%
5 11
8.9%
0 11
8.9%
8 10
8.1%
_ 10
8.1%
- 10
8.1%
3 9
7.3%
9 8
6.5%
Other values (2) 14
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 35
 
5.2%
C 33
 
4.9%
Q 20
 
3.0%
A 17
 
2.5%
g 16
 
2.4%
Z 15
 
2.2%
G 15
 
2.2%
H 14
 
2.1%
4 14
 
2.1%
S 14
 
2.1%
Other values (54) 479
71.3%

홍보지수채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:22:09.864629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.2857143
Min length3

Characters and Unicode

Total characters260
Distinct characters128
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 row모야모야패밀리 moyamoya familly
2nd row덕양구청
3rd rowNPOCENTER SEOUL
4th row서울장학재단
5th row강유미 yumi kang좋아서 하는 채널
ValueCountFrequency (%)
2
 
4.3%
모야모야패밀리 1
 
2.1%
hubog 1
 
2.1%
중구 1
 
2.1%
manymake 1
 
2.1%
마니메이크 1
 
2.1%
경기관광공사 1
 
2.1%
리엔lien 1
 
2.1%
스타티 1
 
2.1%
natasha 1
 
2.1%
Other values (36) 36
76.6%
2023-12-10T23:22:10.503166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
7.3%
a 13
 
5.0%
n 7
 
2.7%
e 7
 
2.7%
i 6
 
2.3%
o 6
 
2.3%
y 6
 
2.3%
l 6
 
2.3%
리 5
 
1.9%
m 5
 
1.9%
Other values (118) 180
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
44.2%
Lowercase Letter 77
29.6%
Uppercase Letter 43
 
16.5%
Space Separator 19
 
7.3%
Dash Punctuation 3
 
1.2%
Open Punctuation 1
 
0.4%
Connector Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 5
 
4.3%
구 4
 
3.5%
소 4
 
3.5%
재 3
 
2.6%
산 2
 
1.7%
부 2
 
1.7%
글 2
 
1.7%
와 2
 
1.7%
지 2
 
1.7%
수 2
 
1.7%
Other values (73) 87
75.7%
Uppercase Letter
ValueCountFrequency (%)
O 4
 
9.3%
N 4
 
9.3%
E 4
 
9.3%
U 3
 
7.0%
K 3
 
7.0%
H 3
 
7.0%
A 2
 
4.7%
G 2
 
4.7%
M 2
 
4.7%
W 2
 
4.7%
Other values (11) 14
32.6%
Lowercase Letter
ValueCountFrequency (%)
a 13
16.9%
n 7
9.1%
e 7
9.1%
i 6
7.8%
o 6
7.8%
y 6
7.8%
l 6
7.8%
m 5
 
6.5%
g 4
 
5.2%
s 3
 
3.9%
Other values (9) 14
18.2%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 120
46.2%
Hangul 115
44.2%
Common 25
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 5
 
4.3%
구 4
 
3.5%
소 4
 
3.5%
재 3
 
2.6%
산 2
 
1.7%
부 2
 
1.7%
글 2
 
1.7%
와 2
 
1.7%
지 2
 
1.7%
수 2
 
1.7%
Other values (73) 87
75.7%
Latin
ValueCountFrequency (%)
a 13
 
10.8%
n 7
 
5.8%
e 7
 
5.8%
i 6
 
5.0%
o 6
 
5.0%
y 6
 
5.0%
l 6
 
5.0%
m 5
 
4.2%
O 4
 
3.3%
N 4
 
3.3%
Other values (30) 56
46.7%
Common
ValueCountFrequency (%)
19
76.0%
- 3
 
12.0%
[ 1
 
4.0%
_ 1
 
4.0%
] 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145
55.8%
Hangul 115
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
 
13.1%
a 13
 
9.0%
n 7
 
4.8%
e 7
 
4.8%
i 6
 
4.1%
o 6
 
4.1%
y 6
 
4.1%
l 6
 
4.1%
m 5
 
3.4%
O 4
 
2.8%
Other values (35) 66
45.5%
Hangul
ValueCountFrequency (%)
리 5
 
4.3%
구 4
 
3.5%
소 4
 
3.5%
재 3
 
2.6%
산 2
 
1.7%
부 2
 
1.7%
글 2
 
1.7%
와 2
 
1.7%
지 2
 
1.7%
수 2
 
1.7%
Other values (73) 87
75.7%

홍보지수수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021-05-01
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-05-01
2nd row2021-05-01
3rd row2021-05-01
4th row2021-05-01
5th row2021-05-01

Common Values

ValueCountFrequency (%)
2021-05-01 28
100.0%

Length

2023-12-10T23:22:10.754586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:10.935555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-05-01 28
100.0%

홍보지수채널설명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing6
Missing (%)21.4%
Memory size356.0 B
2023-12-10T23:22:11.295595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length733
Median length60
Mean length131
Min length11

Characters and Unicode

Total characters2882
Distinct characters376
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row모야모야패밀리는 가족채널 입니다 아빠 엄마 딸2 고양이 2마리와 함께 하는 가족일상 을 여러분과 함께 할께요~ 챌린지 도전 리뷰 후기 등 많은 정보 도 드리고 일상에서 일어나는 리얼가족시트콤을 여러분께 숨김없이 보여드리고 공감하는 채널입니다 모야모야패밀리가 되어 주세요~ 구독과 알람 해주시면 가장 먼저 영상을 보실 수 있어요~ 커뮤니티에 보고 싶은 영상 신청해주시면 바로 제작할께요~ 사랑해요 모밀리 여러분 러뷰~ 무료구독 : https:www.youtube.comchannelUCfV7aELAtpPBbixhf06Jlqg?sub_confirmation=1 Business mail : jkhappy77@gmail.com 으로 연락부탁드립니다.
2nd row고양시 덕양구! 영상으로 만나요~＊
3rd row안녕하세요? 서울시NPO지원센터의 공식 유튜브 채널에 오신 것을 환영합니다. 아래는 서로가 유쾌한 마음으로 이 공간을 이용하기 위해 마련된 유튜브 이용 규칙입니다. 다음에 해당할 경우 댓글을 예고 없이 삭제할 수 있음을 알려드립니다. · 허위 사실 및 이를 유포한 경우 · 상업성 광고; 욕설; 음란성 글 · 동일한 내용의 글을 반복해서 올리는 행위 · 타인이나 단체 등을 비방하거나 모욕하는 글 · 지역감정; 혐오; 차별을 조장하는 글 · 개인신상정보가 포함된 글 · 사생활 침해 및 명예훼손성 글 · 기타 사회통념 및 운영원칙에 위배된다고 판단되는 글 그럼 센터의 유튜브 채널 즐겁게 즐기시기 바랍니다. 고맙습니다. 서울시NPO지원센터 드림 전화 : 02)734-1109 팩스 : 02)734-1118 메일 : contact@snpo.kr
4th row서울; 미래; 희망 서울과 함께 꿈꾸고 성장하는 따뜻한 인재를 양성합니다. 서울의 미래세대와 더불어 성장하는 장학허브 기관입니다.
5th row퀄리티 중심의 노하우; 리뷰; 일상 영상을 공유하는 채널입니다. 영상 전공자로서 영상 제작에대한 지식과 팁을 공유합니다. 소비자로서 제품; 서비스 등; 상품의 리뷰를 공유합니다.
ValueCountFrequency (%)
12
 
2.1%
· 8
 
1.4%
채널입니다 8
 
1.4%
글 6
 
1.0%
you 6
 
1.0%
to 5
 
0.9%
유튜브 5
 
0.9%
함께 4
 
0.7%
영상 4
 
0.7%
my 4
 
0.7%
Other values (425) 510
89.2%
2023-12-10T23:22:11.827299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
 
20.0%
e 71
 
2.5%
o 69
 
2.4%
a 62
 
2.2%
- 58
 
2.0%
n 55
 
1.9%
i 48
 
1.7%
t 48
 
1.7%
. 45
 
1.6%
l 42
 
1.5%
Other values (366) 1808
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1292
44.8%
Lowercase Letter 731
25.4%
Space Separator 576
20.0%
Other Punctuation 113
 
3.9%
Uppercase Letter 60
 
2.1%
Dash Punctuation 58
 
2.0%
Decimal Number 34
 
1.2%
Math Symbol 9
 
0.3%
Close Punctuation 5
 
0.2%
Open Punctuation 2
 
0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 36
 
2.8%
니 33
 
2.6%
이 27
 
2.1%
는 27
 
2.1%
리 25
 
1.9%
하 24
 
1.9%
고 22
 
1.7%
을 21
 
1.6%
로 19
 
1.5%
한 19
 
1.5%
Other values (291) 1039
80.4%
Lowercase Letter
ValueCountFrequency (%)
e 71
 
9.7%
o 69
 
9.4%
a 62
 
8.5%
n 55
 
7.5%
i 48
 
6.6%
t 48
 
6.6%
l 42
 
5.7%
s 40
 
5.5%
r 34
 
4.7%
u 34
 
4.7%
Other values (15) 228
31.2%
Uppercase Letter
ValueCountFrequency (%)
I 7
 
11.7%
B 4
 
6.7%
P 4
 
6.7%
O 4
 
6.7%
K 4
 
6.7%
N 4
 
6.7%
A 4
 
6.7%
M 4
 
6.7%
C 3
 
5.0%
J 3
 
5.0%
Other values (12) 19
31.7%
Other Punctuation
ValueCountFrequency (%)
. 45
39.8%
; 29
25.7%
· 8
 
7.1%
' 7
 
6.2%
: 7
 
6.2%
! 6
 
5.3%
@ 5
 
4.4%
? 3
 
2.7%
& 2
 
1.8%
＊ 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 8
23.5%
2 7
20.6%
7 5
14.7%
0 4
11.8%
9 3
 
8.8%
3 2
 
5.9%
8 2
 
5.9%
4 2
 
5.9%
6 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 7
77.8%
= 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
) 3
60.0%
] 2
40.0%
Space Separator
ValueCountFrequency (%)
576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1292
44.8%
Common 799
27.7%
Latin 791
27.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 36
 
2.8%
니 33
 
2.6%
이 27
 
2.1%
는 27
 
2.1%
리 25
 
1.9%
하 24
 
1.9%
고 22
 
1.7%
을 21
 
1.6%
로 19
 
1.5%
한 19
 
1.5%
Other values (291) 1039
80.4%
Latin
ValueCountFrequency (%)
e 71
 
9.0%
o 69
 
8.7%
a 62
 
7.8%
n 55
 
7.0%
i 48
 
6.1%
t 48
 
6.1%
l 42
 
5.3%
s 40
 
5.1%
r 34
 
4.3%
u 34
 
4.3%
Other values (37) 288
36.4%
Common
ValueCountFrequency (%)
576
72.1%
- 58
 
7.3%
. 45
 
5.6%
; 29
 
3.6%
· 8
 
1.0%
1 8
 
1.0%
' 7
 
0.9%
2 7
 
0.9%
: 7
 
0.9%
~ 7
 
0.9%
Other values (18) 47
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
54.8%
Hangul 1292
44.8%
None 9
 
0.3%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
36.5%
e 71
 
4.5%
o 69
 
4.4%
a 62
 
3.9%
- 58
 
3.7%
n 55
 
3.5%
i 48
 
3.0%
t 48
 
3.0%
. 45
 
2.8%
l 42
 
2.7%
Other values (62) 506
32.0%
Hangul
ValueCountFrequency (%)
다 36
 
2.8%
니 33
 
2.6%
이 27
 
2.1%
는 27
 
2.1%
리 25
 
1.9%
하 24
 
1.9%
고 22
 
1.7%
을 21
 
1.6%
로 19
 
1.5%
한 19
 
1.5%
Other values (291) 1039
80.4%
None
ValueCountFrequency (%)
· 8
88.9%
＊ 1
 
11.1%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

채널생성일
Date

MISSING 

Distinct17
Distinct (%)100.0%
Missing11
Missing (%)39.3%
Memory size356.0 B
Minimum2008-11-13 00:00:00
Maximum2019-01-28 00:00:00
2023-12-10T23:22:11.994050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:12.104602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

산출물수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.35714
Minimum0
Maximum1165
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:12.233528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.05
Q139.75
median122.5
Q3213.25
95-th percentile840.9
Maximum1165
Range1165
Interquartile range (IQR)173.5

Descriptive statistics

Standard deviation282.99198
Coefficient of variation (CV)1.3647564
Kurtosis5.9070271
Mean207.35714
Median Absolute Deviation (MAD)93
Skewness2.4182327
Sum5806
Variance80084.46
MonotonicityNot monotonic
2023-12-10T23:22:12.382146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
1011 1
 
3.6%
3 1
 
3.6%
109 1
 
3.6%
1165 1
 
3.6%
189 1
 
3.6%
136 1
 
3.6%
241 1
 
3.6%
72 1
 
3.6%
525 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
3 1
3.6%
5 1
3.6%
14 1
3.6%
17 1
3.6%
18 1
3.6%
47 1
3.6%
65 1
3.6%
72 1
3.6%
74 1
3.6%
ValueCountFrequency (%)
1165 1
3.6%
1011 1
3.6%
525 1
3.6%
440 1
3.6%
363 1
3.6%
291 1
3.6%
241 1
3.6%
204 1
3.6%
189 1
3.6%
184 1
3.6%

홍보지수구독자수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55567.25
Minimum0
Maximum791000
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:12.522373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.55
Q1413.25
median5735
Q320550
95-th percentile245500
Maximum791000
Range791000
Interquartile range (IQR)20136.75

Descriptive statistics

Standard deviation157457.79
Coefficient of variation (CV)2.8336437
Kurtosis19.028639
Mean55567.25
Median Absolute Deviation (MAD)5671.5
Skewness4.2232252
Sum1555883
Variance2.4792955 × 1010
MonotonicityNot monotonic
2023-12-10T23:22:12.681615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
73300 1
 
3.6%
57200 1
 
3.6%
18500 1
 
3.6%
372 1
 
3.6%
319000 1
 
3.6%
76900 1
 
3.6%
16400 1
 
3.6%
26700 1
 
3.6%
15900 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
13 1
3.6%
114 1
3.6%
163 1
3.6%
243 1
3.6%
372 1
3.6%
427 1
3.6%
544 1
3.6%
647 1
3.6%
1440 1
3.6%
ValueCountFrequency (%)
791000 1
3.6%
319000 1
3.6%
109000 1
3.6%
76900 1
3.6%
73300 1
3.6%
57200 1
3.6%
26700 1
3.6%
18500 1
3.6%
16400 1
3.6%
15900 1
3.6%

총조회수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13169139
Minimum0
Maximum1.6203428 × 108
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:12.827661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120.05
Q180006.5
median705524
Q35095097
95-th percentile57195940
Maximum1.6203428 × 108
Range1.6203428 × 108
Interquartile range (IQR)5015090.5

Descriptive statistics

Standard deviation33340879
Coefficient of variation (CV)2.5317434
Kurtosis15.33822
Mean13169139
Median Absolute Deviation (MAD)702658.5
Skewness3.708136
Sum3.6873588 × 108
Variance1.1116142 × 1015
MonotonicityNot monotonic
2023-12-10T23:22:12.984586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
39788490 1
 
3.6%
32050 1
 
3.6%
4643432 1
 
3.6%
9589956 1
 
3.6%
30380 1
 
3.6%
56278831 1
 
3.6%
18651142 1
 
3.6%
1710566 1
 
3.6%
6450092 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
343 1
3.6%
5388 1
3.6%
30380 1
3.6%
32050 1
3.6%
37489 1
3.6%
94179 1
3.6%
107198 1
3.6%
124796 1
3.6%
323663 1
3.6%
ValueCountFrequency (%)
162034281 1
3.6%
57689768 1
3.6%
56278831 1
3.6%
39788490 1
3.6%
18651142 1
3.6%
9589956 1
3.6%
6450092 1
3.6%
4643432 1
3.6%
4120250 1
3.6%
3185058 1
3.6%

총좋아요수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185557.46
Minimum0
Maximum2492850
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:13.155602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q1544.5
median9479
Q374997
95-th percentile866357.85
Maximum2492850
Range2492850
Interquartile range (IQR)74452.5

Descriptive statistics

Standard deviation505182.41
Coefficient of variation (CV)2.7225119
Kurtosis17.070414
Mean185557.46
Median Absolute Deviation (MAD)9463.5
Skewness3.9506271
Sum5195609
Variance2.5520926 × 1011
MonotonicityNot monotonic
2023-12-10T23:22:13.321954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
369652 1
 
3.6%
209 1
 
3.6%
55522 1
 
3.6%
71589 1
 
3.6%
553 1
 
3.6%
913940 1
 
3.6%
185588 1
 
3.6%
51510 1
 
3.6%
35079 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
5 1
3.6%
26 1
3.6%
200 1
3.6%
209 1
3.6%
519 1
3.6%
553 1
3.6%
805 1
3.6%
1162 1
3.6%
3446 1
3.6%
ValueCountFrequency (%)
2492850 1
3.6%
913940 1
3.6%
777991 1
3.6%
369652 1
3.6%
185588 1
3.6%
94063 1
3.6%
85221 1
3.6%
71589 1
3.6%
55522 1
3.6%
51510 1
3.6%

총싫어요수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6745.5
Minimum0
Maximum61723
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:13.489842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.75
median504
Q32630.5
95-th percentile48097.65
Maximum61723
Range61723
Interquartile range (IQR)2597.75

Descriptive statistics

Standard deviation16313.792
Coefficient of variation (CV)2.4184704
Kurtosis8.2314312
Mean6745.5
Median Absolute Deviation (MAD)500
Skewness2.9792806
Sum188874
Variance2.661398 × 108
MonotonicityNot monotonic
2023-12-10T23:22:13.612895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4
 
14.3%
61723 1
 
3.6%
2674 1
 
3.6%
2155 1
 
3.6%
8 1
 
3.6%
15306 1
 
3.6%
24697 1
 
3.6%
446 1
 
3.6%
3095 1
 
3.6%
329 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
0 4
14.3%
8 1
 
3.6%
16 1
 
3.6%
32 1
 
3.6%
33 1
 
3.6%
43 1
 
3.6%
101 1
 
3.6%
199 1
 
3.6%
329 1
 
3.6%
446 1
 
3.6%
ValueCountFrequency (%)
61723 1
3.6%
60698 1
3.6%
24697 1
3.6%
15306 1
3.6%
9300 1
3.6%
3095 1
3.6%
2674 1
3.6%
2616 1
3.6%
2155 1
3.6%
2021 1
3.6%

월간활성사용자수
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)92.3%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean203.38462
Minimum0
Maximum543
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:13.748201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.25
Q181.25
median190.5
Q3249.25
95-th percentile492
Maximum543
Range543
Interquartile range (IQR)168

Descriptive statistics

Standard deviation150.50185
Coefficient of variation (CV)0.73998639
Kurtosis-0.015378389
Mean203.38462
Median Absolute Deviation (MAD)99.5
Skewness0.73755447
Sum5288
Variance22650.806
MonotonicityNot monotonic
2023-12-10T23:22:13.936708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 2
 
7.1%
173 2
 
7.1%
281 1
 
3.6%
81 1
 
3.6%
518 1
 
3.6%
82 1
 
3.6%
243 1
 
3.6%
64 1
 
3.6%
406 1
 
3.6%
225 1
 
3.6%
Other values (14) 14
50.0%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
0 2
7.1%
29 1
3.6%
50 1
3.6%
57 1
3.6%
64 1
3.6%
81 1
3.6%
82 1
3.6%
104 1
3.6%
152 1
3.6%
173 2
7.1%
ValueCountFrequency (%)
543 1
3.6%
518 1
3.6%
414 1
3.6%
406 1
3.6%
382 1
3.6%
281 1
3.6%
251 1
3.6%
244 1
3.6%
243 1
3.6%
230 1
3.6%

최근조회수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467374.36
Minimum0
Maximum9642043
Zeros14
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:14.114562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median56
Q317438.75
95-th percentile1395762.7
Maximum9642043
Range9642043
Interquartile range (IQR)17438.75

Descriptive statistics

Standard deviation1833106.4
Coefficient of variation (CV)3.9221372
Kurtosis25.678935
Mean467374.36
Median Absolute Deviation (MAD)56
Skewness4.9957843
Sum13086482
Variance3.360279 × 1012
MonotonicityNot monotonic
2023-12-10T23:22:14.309616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 14
50.0%
1106293 1
 
3.6%
1484 1
 
3.6%
825 1
 
3.6%
9642043 1
 
3.6%
5551 1
 
3.6%
21752 1
 
3.6%
2427 1
 
3.6%
399945 1
 
3.6%
270 1
 
3.6%
Other values (5) 5
 
17.9%
ValueCountFrequency (%)
0 14
50.0%
112 1
 
3.6%
270 1
 
3.6%
825 1
 
3.6%
1484 1
 
3.6%
2427 1
 
3.6%
5551 1
 
3.6%
16001 1
 
3.6%
21752 1
 
3.6%
56190 1
 
3.6%
ValueCountFrequency (%)
9642043 1
3.6%
1551631 1
3.6%
1106293 1
3.6%
399945 1
3.6%
281958 1
3.6%
56190 1
3.6%
21752 1
3.6%
16001 1
3.6%
5551 1
3.6%
2427 1
3.6%

최근좋아요수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9319.3571
Minimum0
Maximum181806
Zeros15
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:14.768061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3474.5
95-th percentile31272.5
Maximum181806
Range181806
Interquartile range (IQR)474.5

Descriptive statistics

Standard deviation34806.68
Coefficient of variation (CV)3.7348799
Kurtosis24.566651
Mean9319.3571
Median Absolute Deviation (MAD)0
Skewness4.861172
Sum260942
Variance1.211505 × 109
MonotonicityNot monotonic
2023-12-10T23:22:14.931229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 15
53.6%
16497 1
 
3.6%
30 1
 
3.6%
10 1
 
3.6%
181806 1
 
3.6%
76 1
 
3.6%
1122 1
 
3.6%
88 1
 
3.6%
17902 1
 
3.6%
4 1
 
3.6%
Other values (4) 4
 
14.3%
ValueCountFrequency (%)
0 15
53.6%
4 1
 
3.6%
10 1
 
3.6%
30 1
 
3.6%
76 1
 
3.6%
88 1
 
3.6%
370 1
 
3.6%
788 1
 
3.6%
1122 1
 
3.6%
3777 1
 
3.6%
ValueCountFrequency (%)
181806 1
3.6%
38472 1
3.6%
17902 1
3.6%
16497 1
3.6%
3777 1
3.6%
1122 1
3.6%
788 1
3.6%
370 1
3.6%
88 1
3.6%
76 1
3.6%

최근싫어요수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.35714
Minimum0
Maximum2861
Zeros16
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:15.062121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.5
95-th percentile775
Maximum2861
Range2861
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation563.54646
Coefficient of variation (CV)3.4925411
Kurtosis21.188631
Mean161.35714
Median Absolute Deviation (MAD)0
Skewness4.4792662
Sum4518
Variance317584.61
MonotonicityNot monotonic
2023-12-10T23:22:15.186408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16
57.1%
59 3
 
10.7%
1 2
 
7.1%
950 1
 
3.6%
2861 1
 
3.6%
8 1
 
3.6%
11 1
 
3.6%
53 1
 
3.6%
450 1
 
3.6%
6 1
 
3.6%
ValueCountFrequency (%)
0 16
57.1%
1 2
 
7.1%
6 1
 
3.6%
8 1
 
3.6%
11 1
 
3.6%
53 1
 
3.6%
59 3
 
10.7%
450 1
 
3.6%
950 1
 
3.6%
2861 1
 
3.6%
ValueCountFrequency (%)
2861 1
 
3.6%
950 1
 
3.6%
450 1
 
3.6%
59 3
 
10.7%
53 1
 
3.6%
11 1
 
3.6%
8 1
 
3.6%
6 1
 
3.6%
1 2
 
7.1%
0 16
57.1%

수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1434.75
Minimum0
Maximum32800
Zeros16
Zeros (%)57.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:15.332314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q349.75
95-th percentile2880.8
Maximum32800
Range32800
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation6193.0491
Coefficient of variation (CV)4.3164656
Kurtosis27.079811
Mean1434.75
Median Absolute Deviation (MAD)0
Skewness5.1720021
Sum40173
Variance38353857
MonotonicityNot monotonic
2023-12-10T23:22:15.481499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 16
57.1%
17 2
 
7.1%
1 1
 
3.6%
32800 1
 
3.6%
246 1
 
3.6%
39 1
 
3.6%
1560 1
 
3.6%
6 1
 
3.6%
517 1
 
3.6%
3592 1
 
3.6%
Other values (2) 2
 
7.1%
ValueCountFrequency (%)
0 16
57.1%
1 1
 
3.6%
6 1
 
3.6%
17 2
 
7.1%
39 1
 
3.6%
82 1
 
3.6%
246 1
 
3.6%
517 1
 
3.6%
1296 1
 
3.6%
1560 1
 
3.6%
ValueCountFrequency (%)
32800 1
3.6%
3592 1
3.6%
1560 1
3.6%
1296 1
3.6%
517 1
3.6%
246 1
3.6%
82 1
3.6%
39 1
3.6%
17 2
7.1%
6 1
3.6%

홍보정량개선도
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
10 
<NA>
9 
0
8 
3
 
1

Length

Max length4
Median length1
Mean length1.9642857
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row1
2nd row<NA>
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 10
35.7%
<NA> 9
32.1%
0 8
28.6%
3 1
 
3.6%

Length

2023-12-10T23:22:15.645401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:15.812685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10
35.7%
na 9
32.1%
0 8
28.6%
3 1
 
3.6%

정량지수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean1.2026316
Minimum0
Maximum5.64
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:15.941375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009
Q10.175
median0.98
Q31.645
95-th percentile2.787
Maximum5.64
Range5.64
Interquartile range (IQR)1.47

Descriptive statistics

Standard deviation1.3476846
Coefficient of variation (CV)1.120613
Kurtosis5.9099676
Mean1.2026316
Median Absolute Deviation (MAD)0.75
Skewness2.0600329
Sum22.85
Variance1.8162538
MonotonicityNot monotonic
2023-12-10T23:22:16.094273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.01 2
 
7.1%
0.77 1
 
3.6%
2.47 1
 
3.6%
5.64 1
 
3.6%
1.56 1
 
3.6%
1.11 1
 
3.6%
0.31 1
 
3.6%
1.53 1
 
3.6%
1.49 1
 
3.6%
1.73 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
0.0 1
3.6%
0.01 2
7.1%
0.02 1
3.6%
0.04 1
3.6%
0.31 1
3.6%
0.35 1
3.6%
0.62 1
3.6%
0.77 1
3.6%
0.98 1
3.6%
1.11 1
3.6%
ValueCountFrequency (%)
5.64 1
3.6%
2.47 1
3.6%
2.21 1
3.6%
2.0 1
3.6%
1.73 1
3.6%
1.56 1
3.6%
1.53 1
3.6%
1.49 1
3.6%
1.11 1
3.6%
0.98 1
3.6%

정성지수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)96.2%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean0.40192308
Minimum0
Maximum1.05
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:16.250319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.155
median0.39
Q30.51
95-th percentile0.9275
Maximum1.05
Range1.05
Interquartile range (IQR)0.355

Descriptive statistics

Standard deviation0.28923374
Coefficient of variation (CV)0.71962461
Kurtosis-0.24915536
Mean0.40192308
Median Absolute Deviation (MAD)0.23
Skewness0.61853055
Sum10.45
Variance0.083656154
MonotonicityNot monotonic
2023-12-10T23:22:16.396256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 2
 
7.1%
0.52 1
 
3.6%
0.17 1
 
3.6%
0.98 1
 
3.6%
0.15 1
 
3.6%
0.44 1
 
3.6%
0.48 1
 
3.6%
0.13 1
 
3.6%
0.76 1
 
3.6%
0.42 1
 
3.6%
Other values (15) 15
53.6%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
0.0 2
7.1%
0.08 1
3.6%
0.1 1
3.6%
0.11 1
3.6%
0.13 1
3.6%
0.15 1
3.6%
0.17 1
3.6%
0.2 1
3.6%
0.29 1
3.6%
0.32 1
3.6%
ValueCountFrequency (%)
1.05 1
3.6%
0.98 1
3.6%
0.77 1
3.6%
0.76 1
3.6%
0.72 1
3.6%
0.69 1
3.6%
0.52 1
3.6%
0.48 1
3.6%
0.47 1
3.6%
0.46 1
3.6%

종합홍보지수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing10
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean0.675
Minimum0.21
Maximum1.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:16.532449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.227
Q10.345
median0.575
Q30.7625
95-th percentile1.4595
Maximum1.74
Range1.53
Interquartile range (IQR)0.4175

Descriptive statistics

Standard deviation0.43424376
Coefficient of variation (CV)0.6433241
Kurtosis0.78460039
Mean0.675
Median Absolute Deviation (MAD)0.225
Skewness1.1879326
Sum12.15
Variance0.18856765
MonotonicityNot monotonic
2023-12-10T23:22:16.658757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.34 1
 
3.6%
1.41 1
 
3.6%
1.74 1
 
3.6%
0.77 1
 
3.6%
0.66 1
 
3.6%
0.63 1
 
3.6%
0.74 1
 
3.6%
0.28 1
 
3.6%
1.25 1
 
3.6%
0.36 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 10
35.7%
ValueCountFrequency (%)
0.21 1
3.6%
0.23 1
3.6%
0.28 1
3.6%
0.33 1
3.6%
0.34 1
3.6%
0.36 1
3.6%
0.42 1
3.6%
0.48 1
3.6%
0.52 1
3.6%
0.63 1
3.6%
ValueCountFrequency (%)
1.74 1
3.6%
1.41 1
3.6%
1.25 1
3.6%
1.07 1
3.6%
0.77 1
3.6%
0.74 1
3.6%
0.71 1
3.6%
0.66 1
3.6%
0.63 1
3.6%
0.52 1
3.6%

정량지수표준점수
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean1.2026316
Minimum0
Maximum5.64
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:16.802554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009
Q10.175
median0.98
Q31.645
95-th percentile2.787
Maximum5.64
Range5.64
Interquartile range (IQR)1.47

Descriptive statistics

Standard deviation1.3476846
Coefficient of variation (CV)1.120613
Kurtosis5.9099676
Mean1.2026316
Median Absolute Deviation (MAD)0.75
Skewness2.0600329
Sum22.85
Variance1.8162538
MonotonicityNot monotonic
2023-12-10T23:22:16.928909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.01 2
 
7.1%
0.77 1
 
3.6%
2.47 1
 
3.6%
5.64 1
 
3.6%
1.56 1
 
3.6%
1.11 1
 
3.6%
0.31 1
 
3.6%
1.53 1
 
3.6%
1.49 1
 
3.6%
1.73 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
0.0 1
3.6%
0.01 2
7.1%
0.02 1
3.6%
0.04 1
3.6%
0.31 1
3.6%
0.35 1
3.6%
0.62 1
3.6%
0.77 1
3.6%
0.98 1
3.6%
1.11 1
3.6%
ValueCountFrequency (%)
5.64 1
3.6%
2.47 1
3.6%
2.21 1
3.6%
2.0 1
3.6%
1.73 1
3.6%
1.56 1
3.6%
1.53 1
3.6%
1.49 1
3.6%
1.11 1
3.6%
0.98 1
3.6%

정성지수표준점수
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)96.2%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean0.40192308
Minimum0
Maximum1.05
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:17.075050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.155
median0.39
Q30.51
95-th percentile0.9275
Maximum1.05
Range1.05
Interquartile range (IQR)0.355

Descriptive statistics

Standard deviation0.28923374
Coefficient of variation (CV)0.71962461
Kurtosis-0.24915536
Mean0.40192308
Median Absolute Deviation (MAD)0.23
Skewness0.61853055
Sum10.45
Variance0.083656154
MonotonicityNot monotonic
2023-12-10T23:22:17.242327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 2
 
7.1%
0.52 1
 
3.6%
0.17 1
 
3.6%
0.98 1
 
3.6%
0.15 1
 
3.6%
0.44 1
 
3.6%
0.48 1
 
3.6%
0.13 1
 
3.6%
0.76 1
 
3.6%
0.42 1
 
3.6%
Other values (15) 15
53.6%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
0.0 2
7.1%
0.08 1
3.6%
0.1 1
3.6%
0.11 1
3.6%
0.13 1
3.6%
0.15 1
3.6%
0.17 1
3.6%
0.2 1
3.6%
0.29 1
3.6%
0.32 1
3.6%
ValueCountFrequency (%)
1.05 1
3.6%
0.98 1
3.6%
0.77 1
3.6%
0.76 1
3.6%
0.72 1
3.6%
0.69 1
3.6%
0.52 1
3.6%
0.48 1
3.6%
0.47 1
3.6%
0.46 1
3.6%

종합홍보지수표준점수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing10
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean0.675
Minimum0.21
Maximum1.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:17.351514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.227
Q10.345
median0.575
Q30.7625
95-th percentile1.4595
Maximum1.74
Range1.53
Interquartile range (IQR)0.4175

Descriptive statistics

Standard deviation0.43424376
Coefficient of variation (CV)0.6433241
Kurtosis0.78460039
Mean0.675
Median Absolute Deviation (MAD)0.225
Skewness1.1879326
Sum12.15
Variance0.18856765
MonotonicityNot monotonic
2023-12-10T23:22:17.536177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.34 1
 
3.6%
1.41 1
 
3.6%
1.74 1
 
3.6%
0.77 1
 
3.6%
0.66 1
 
3.6%
0.63 1
 
3.6%
0.74 1
 
3.6%
0.28 1
 
3.6%
1.25 1
 
3.6%
0.36 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 10
35.7%
ValueCountFrequency (%)
0.21 1
3.6%
0.23 1
3.6%
0.28 1
3.6%
0.33 1
3.6%
0.34 1
3.6%
0.36 1
3.6%
0.42 1
3.6%
0.48 1
3.6%
0.52 1
3.6%
0.63 1
3.6%
ValueCountFrequency (%)
1.74 1
3.6%
1.41 1
3.6%
1.25 1
3.6%
1.07 1
3.6%
0.77 1
3.6%
0.74 1
3.6%
0.71 1
3.6%
0.66 1
3.6%
0.63 1
3.6%
0.52 1
3.6%

Sample

홍보지수채널ID홍보지수채널명홍보지수수집일자홍보지수채널설명채널생성일산출물수홍보지수구독자수총조회수총좋아요수총싫어요수월간활성사용자수최근조회수최근좋아요수최근싫어요수수홍보정량개선도정량지수정성지수종합홍보지수정량지수표준점수정성지수표준점수종합홍보지수표준점수
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1UCA5dXWL-EQ9UrDld11QG8BA덕양구청2021-05-01고양시 덕양구! 영상으로 만나요~＊2017-11-165034350<NA>0000<NA><NA><NA><NA><NA><NA><NA>
2UC8NcogQ-PSZmM62vntUV3YANPOCENTER SEOUL2021-05-01안녕하세요? 서울시NPO지원센터의 공식 유튜브 채널에 오신 것을 환영합니다. 아래는 서로가 유쾌한 마음으로 이 공간을 이용하기 위해 마련된 유튜브 이용 규칙입니다. 다음에 해당할 경우 댓글을 예고 없이 삭제할 수 있음을 알려드립니다. · 허위 사실 및 이를 유포한 경우 · 상업성 광고; 욕설; 음란성 글 · 동일한 내용의 글을 반복해서 올리는 행위 · 타인이나 단체 등을 비방하거나 모욕하는 글 · 지역감정; 혐오; 차별을 조장하는 글 · 개인신상정보가 포함된 글 · 사생활 침해 및 명예훼손성 글 · 기타 사회통념 및 운영원칙에 위배된다고 판단되는 글 그럼 센터의 유튜브 채널 즐겁게 즐기시기 바랍니다. 고맙습니다. 서울시NPO지원센터 드림 전화 : 02)734-1109 팩스 : 02)734-1118 메일 : contact@snpo.kr2014-03-212046471247961162321931484301000.350.360.360.350.360.36
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4UCPZ4e8BQEM-BlepSeZUESSw강유미 yumi kang좋아서 하는 채널2021-05-01<NA>2015-08-08291791000162034281249285060698205964204318180628613280012.00.691.072.00.691.07
5UCnZBbH3G6t9tYK6NMMAcEug닫힌결말2021-05-01<NA>2015-09-07024300000000<NA><NA>0.0<NA><NA>0.0<NA>
6UCzVL1QNvHNQmsiAy6Oti0AwHoyong PK2021-05-01퀄리티 중심의 노하우; 리뷰; 일상 영상을 공유하는 채널입니다. 영상 전공자로서 영상 제작에대한 지식과 팁을 공유합니다. 소비자로서 제품; 서비스 등; 상품의 리뷰를 공유합니다.2018-06-2615772407499791231452910455517681710.980.20.420.980.20.42
7UCbHyZneFBvQFBGde5YzAh-g소확행 - 소비는 확실한 행복 -2021-05-01소.확.행 = 소비는 확실한 행복! 가격대 별 소비를 통해 느껴지는 진정한 소비의 행복을 느껴봅시다.<NA>145449417980543173000000.00.320.230.00.320.23
8UCuId1SXn0G_QGAxDtlF4FfAJesse Holic2021-05-01Hello; my name is Jesse. I'm here to share everything you would like to know about in Beauty Products; Make-up Tutorials; Cosplay; Fashion; and anything that will make you look beautiful. I'm here to share many Korean Cosmetic information for those non-Korean speakers; who would like to know more about the Korean cosmetic products before purchasing them. I thrive to provide as much information for you and make suitable recommendation for your likings. I hope you guys will find this channel helpful. 안녕하세요 뷰티 블로거이자 뷰티 유튜버인 Jesse 입니다. 저는 대부분 한국의 뷰티를 알고싶어하는 해외분들을 위해 영어로 된 비디오가 많겠지만; 한국 시청자 분들을 위해 한국어로 된 메이크업 튜토리얼; 코스프레 메이크업; 그리고 제품 리뷰를 같이 올리고 있습니다. 보다 솔직한 리뷰로 시청자 분들께 여러가지 뷰티제품들과 팁들을 공유하는 채널입니다. 재밌고 유용한 컨텐츠를 가져오도록 노력하겠습니다.2008-11-1313748107305557156914152000000.010.290.210.010.290.21
9UCvnRrQa5gYVDHgXvY4ERc5A해피GTV-구리시2021-05-01대한민국 경기도 구리시의 공식 유튜브 채널입니다.2019-01-2844066603319509045543502175211225924612.210.10.712.210.10.71
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24UC4sIlWphHSMk210xl74H3Wgnyanji냔지2021-05-01뷰티 & 일상 크리에이터 비즈니스 문의는 nyanji821@gmail.com 로 연락 주시면 감사합니다 :) ♡2015-01-141363190005627883191394015306173155163138472450359211.560.440.771.560.440.77
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