Overview

Dataset statistics

Number of variables22
Number of observations24
Missing cells49
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory198.5 B

Variable types

Text3
Categorical2
DateTime1
Numeric16

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/4be9de88-42a3-4493-b9fb-d802055b87b9

Alerts

홍보지수수집일자 has constant value ""Constant
홍보지수채널설명 has 7 (29.2%) missing valuesMissing
채널생성일 has 8 (33.3%) missing valuesMissing
월간활성사용자수 has 2 (8.3%) missing valuesMissing
정량지수 has 6 (25.0%) missing valuesMissing
정성지수 has 2 (8.3%) missing valuesMissing
종합홍보지수 has 8 (33.3%) missing valuesMissing
정량지수표준점수 has 6 (25.0%) missing valuesMissing
정성지수표준점수 has 2 (8.3%) missing valuesMissing
종합홍보지수표준점수 has 8 (33.3%) missing valuesMissing
홍보지수채널ID has unique valuesUnique
홍보지수채널명 has unique valuesUnique
총조회수 has unique valuesUnique
산출물수 has 2 (8.3%) zerosZeros
홍보지수구독자수 has 2 (8.3%) zerosZeros
총조회수 has 1 (4.2%) zerosZeros
총좋아요수 has 2 (8.3%) zerosZeros
총싫어요수 has 3 (12.5%) zerosZeros
월간활성사용자수 has 2 (8.3%) zerosZeros
최근조회수 has 5 (20.8%) zerosZeros
최근좋아요수 has 5 (20.8%) zerosZeros
최근싫어요수 has 8 (33.3%) zerosZeros
has 5 (20.8%) zerosZeros
정성지수 has 2 (8.3%) zerosZeros
정성지수표준점수 has 2 (8.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:18:39.142207
Analysis finished2023-12-10 14:18:39.622084
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:18:39.820806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters576
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 rowUCu6qUKhANKHSszxykjTqCKQ
2nd rowUCci3ekONGGf4njfCemeGsLA
3rd rowUCGSru-hB6Hj5hSoT8DYRXZw
4th rowUCrhtdbWAByxCfw94bckd1ew
5th rowUC31ypOxFsuU3Q0OFpQzcQ3g
ValueCountFrequency (%)
ucu6qukhankhsszxykjtqckq 1
 
4.2%
ucci3ekonggf4njfcemegsla 1
 
4.2%
uc5xk2xdrud3-kgjks1igumg 1
 
4.2%
uc4yk_aehnhrjxsh4rmzq0ea 1
 
4.2%
ucto4z9g0amgteo3n6a6sseq 1
 
4.2%
ucfc8aqvx3u01_y0ot4r41zq 1
 
4.2%
ucxnxkf3drzjdy1uwxo77drw 1
 
4.2%
uctzz6rot2vlzdosxlslr-vw 1
 
4.2%
uczphz5mkyrjpys2whtphmig 1
 
4.2%
ucvvsw1epoibl3ojzluxcl7a 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T23:18:40.302936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 32
 
5.6%
C 32
 
5.6%
w 17
 
3.0%
S 16
 
2.8%
A 15
 
2.6%
Q 14
 
2.4%
Z 13
 
2.3%
H 12
 
2.1%
3 12
 
2.1%
G 12
 
2.1%
Other values (54) 401
69.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 272
47.2%
Lowercase Letter 208
36.1%
Decimal Number 78
 
13.5%
Dash Punctuation 10
 
1.7%
Connector Punctuation 8
 
1.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 32
 
11.8%
C 32
 
11.8%
S 16
 
5.9%
A 15
 
5.5%
Q 14
 
5.1%
Z 13
 
4.8%
H 12
 
4.4%
G 12
 
4.4%
X 11
 
4.0%
O 10
 
3.7%
Other values (16) 105
38.6%
Lowercase Letter
ValueCountFrequency (%)
w 17
 
8.2%
u 12
 
5.8%
d 11
 
5.3%
r 11
 
5.3%
f 11
 
5.3%
h 10
 
4.8%
m 10
 
4.8%
z 9
 
4.3%
y 9
 
4.3%
k 9
 
4.3%
Other values (16) 99
47.6%
Decimal Number
ValueCountFrequency (%)
3 12
15.4%
1 12
15.4%
6 10
12.8%
4 10
12.8%
0 9
11.5%
2 6
7.7%
8 6
7.7%
7 5
6.4%
9 4
 
5.1%
5 4
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 480
83.3%
Common 96
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 32
 
6.7%
C 32
 
6.7%
w 17
 
3.5%
S 16
 
3.3%
A 15
 
3.1%
Q 14
 
2.9%
Z 13
 
2.7%
H 12
 
2.5%
G 12
 
2.5%
u 12
 
2.5%
Other values (42) 305
63.5%
Common
ValueCountFrequency (%)
3 12
12.5%
1 12
12.5%
6 10
10.4%
- 10
10.4%
4 10
10.4%
0 9
9.4%
_ 8
8.3%
2 6
6.2%
8 6
6.2%
7 5
5.2%
Other values (2) 8
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 32
 
5.6%
C 32
 
5.6%
w 17
 
3.0%
S 16
 
2.8%
A 15
 
2.6%
Q 14
 
2.4%
Z 13
 
2.3%
H 12
 
2.1%
3 12
 
2.1%
G 12
 
2.1%
Other values (54) 401
69.6%
Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T23:18:40.623650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15.5
Mean length9.3333333
Min length2

Characters and Unicode

Total characters224
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row나다린TV
2nd row류니키친 Ryuniii Kitchen
3rd row다다파파DADAPAPA
4th rowsoobeanie_
5th row압둘알리과로사
ValueCountFrequency (%)
tv 2
 
5.0%
나다린tv 1
 
2.5%
rok 1
 
2.5%
tau 1
 
2.5%
서울시립대학교 1
 
2.5%
돼지런한 1
 
2.5%
생활 1
 
2.5%
let 1
 
2.5%
eat 1
 
2.5%
be 1
 
2.5%
Other values (29) 29
72.5%
2023-12-10T23:18:41.090763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
7.1%
e 14
 
6.2%
i 10
 
4.5%
o 7
 
3.1%
T 7
 
3.1%
n 5
 
2.2%
A 5
 
2.2%
s 5
 
2.2%
K 4
 
1.8%
a 4
 
1.8%
Other values (105) 147
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
41.1%
Lowercase Letter 67
29.9%
Uppercase Letter 46
20.5%
Space Separator 16
 
7.1%
Connector Punctuation 2
 
0.9%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
4.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (66) 68
73.9%
Uppercase Letter
ValueCountFrequency (%)
T 7
15.2%
A 5
10.9%
K 4
 
8.7%
V 4
 
8.7%
D 3
 
6.5%
M 3
 
6.5%
R 3
 
6.5%
E 2
 
4.3%
O 2
 
4.3%
S 2
 
4.3%
Other values (9) 11
23.9%
Lowercase Letter
ValueCountFrequency (%)
e 14
20.9%
i 10
14.9%
o 7
10.4%
n 5
 
7.5%
s 5
 
7.5%
a 4
 
6.0%
r 4
 
6.0%
t 4
 
6.0%
h 2
 
3.0%
c 2
 
3.0%
Other values (7) 10
14.9%
Space Separator
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 113
50.4%
Hangul 92
41.1%
Common 19
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
4.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (66) 68
73.9%
Latin
ValueCountFrequency (%)
e 14
 
12.4%
i 10
 
8.8%
o 7
 
6.2%
T 7
 
6.2%
n 5
 
4.4%
A 5
 
4.4%
s 5
 
4.4%
K 4
 
3.5%
a 4
 
3.5%
r 4
 
3.5%
Other values (26) 48
42.5%
Common
ValueCountFrequency (%)
16
84.2%
_ 2
 
10.5%
- 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
58.9%
Hangul 92
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
 
12.1%
e 14
 
10.6%
i 10
 
7.6%
o 7
 
5.3%
T 7
 
5.3%
n 5
 
3.8%
A 5
 
3.8%
s 5
 
3.8%
K 4
 
3.0%
a 4
 
3.0%
Other values (29) 55
41.7%
Hangul
ValueCountFrequency (%)
4
 
4.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (66) 68
73.9%

홍보지수수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2021-07-01
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-01
2nd row2021-07-01
3rd row2021-07-01
4th row2021-07-01
5th row2021-07-01

Common Values

ValueCountFrequency (%)
2021-07-01 24
100.0%

Length

2023-12-10T23:18:41.260234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:41.381903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-01 24
100.0%
Distinct17
Distinct (%)100.0%
Missing7
Missing (%)29.2%
Memory size324.0 B
2023-12-10T23:18:41.736038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length70
Mean length82.411765
Min length21

Characters and Unicode

Total characters1401
Distinct characters282
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row나다린TV는 토깽이네의 귀여운 남매 나린이 다린이가 둘만의 채널을 너무너무 하고 싶어해서 만들어준 채널이예요^^ 조금 하다가 그만둘줄 알았는데 ㅋㅋ 너무 재밌어하고 즐거워하네요^^ 순수한 아이들이 순수하게 찍은 영상이니 다소 부족하더라도 귀엽게 봐주세요^^
2nd row매일 만들어 먹는 따뜻한 집밥 함께 맛있게 만들어 먹어요 :)
3rd row꼬똥 드 툴레아 (coton_de_tulear) '다다(DADA) 의 강아지 이야기' 다다파파(DADAPAPA) Name : DADA(다다) Breed : 꼬똥; 꼬똥 드 툴레아 (coton_de_tulear)
4th rowGOAROSA의 유튜브 공식채널입니다.
5th row백패킹에서 캠핑; 리뷰까지 협찬 문의 : etbest2@gmail.com
ValueCountFrequency (%)
and 5
 
1.9%
5
 
1.9%
유튜브 4
 
1.5%
채널입니다 4
 
1.5%
the 4
 
1.5%
꼬똥 3
 
1.1%
만들어 3
 
1.1%
주로 3
 
1.1%
공식 3
 
1.1%
안녕하세요 3
 
1.1%
Other values (213) 226
85.9%
2023-12-10T23:18:42.290061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
 
19.0%
e 40
 
2.9%
t 37
 
2.6%
34
 
2.4%
s 27
 
1.9%
i 24
 
1.7%
a 22
 
1.6%
22
 
1.6%
n 21
 
1.5%
o 20
 
1.4%
Other values (272) 888
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 666
47.5%
Lowercase Letter 324
23.1%
Space Separator 266
 
19.0%
Uppercase Letter 62
 
4.4%
Other Punctuation 42
 
3.0%
Decimal Number 11
 
0.8%
Close Punctuation 9
 
0.6%
Open Punctuation 8
 
0.6%
Modifier Symbol 6
 
0.4%
Connector Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
5.1%
22
 
3.3%
20
 
3.0%
17
 
2.6%
13
 
2.0%
12
 
1.8%
12
 
1.8%
11
 
1.7%
10
 
1.5%
9
 
1.4%
Other values (213) 506
76.0%
Lowercase Letter
ValueCountFrequency (%)
e 40
12.3%
t 37
11.4%
s 27
 
8.3%
i 24
 
7.4%
a 22
 
6.8%
n 21
 
6.5%
o 20
 
6.2%
h 14
 
4.3%
d 14
 
4.3%
l 14
 
4.3%
Other values (12) 91
28.1%
Uppercase Letter
ValueCountFrequency (%)
A 12
19.4%
D 7
11.3%
S 6
9.7%
P 4
 
6.5%
R 4
 
6.5%
T 4
 
6.5%
V 4
 
6.5%
N 3
 
4.8%
B 3
 
4.8%
M 2
 
3.2%
Other values (9) 13
21.0%
Other Punctuation
ValueCountFrequency (%)
. 17
40.5%
' 6
 
14.3%
: 6
 
14.3%
; 6
 
14.3%
! 6
 
14.3%
@ 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
3 2
18.2%
8 2
18.2%
1 1
 
9.1%
5 1
 
9.1%
4 1
 
9.1%
Space Separator
ValueCountFrequency (%)
266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 666
47.5%
Latin 386
27.6%
Common 349
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
5.1%
22
 
3.3%
20
 
3.0%
17
 
2.6%
13
 
2.0%
12
 
1.8%
12
 
1.8%
11
 
1.7%
10
 
1.5%
9
 
1.4%
Other values (213) 506
76.0%
Latin
ValueCountFrequency (%)
e 40
 
10.4%
t 37
 
9.6%
s 27
 
7.0%
i 24
 
6.2%
a 22
 
5.7%
n 21
 
5.4%
o 20
 
5.2%
h 14
 
3.6%
d 14
 
3.6%
l 14
 
3.6%
Other values (31) 153
39.6%
Common
ValueCountFrequency (%)
266
76.2%
. 17
 
4.9%
) 9
 
2.6%
( 8
 
2.3%
' 6
 
1.7%
: 6
 
1.7%
; 6
 
1.7%
^ 6
 
1.7%
! 6
 
1.7%
2 4
 
1.1%
Other values (8) 15
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 735
52.5%
Hangul 664
47.4%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
36.2%
e 40
 
5.4%
t 37
 
5.0%
s 27
 
3.7%
i 24
 
3.3%
a 22
 
3.0%
n 21
 
2.9%
o 20
 
2.7%
. 17
 
2.3%
h 14
 
1.9%
Other values (49) 247
33.6%
Hangul
ValueCountFrequency (%)
34
 
5.1%
22
 
3.3%
20
 
3.0%
17
 
2.6%
13
 
2.0%
12
 
1.8%
12
 
1.8%
11
 
1.7%
10
 
1.5%
9
 
1.4%
Other values (212) 504
75.9%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

채널생성일
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing8
Missing (%)33.3%
Memory size324.0 B
Minimum2009-06-04 00:00:00
Maximum2018-07-07 00:00:00
2023-12-10T23:18:42.444826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:42.587343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

산출물수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean394.20833
Minimum0
Maximum2072
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:42.755575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.4
Q1121.5
median251.5
Q3422.75
95-th percentile1623.1
Maximum2072
Range2072
Interquartile range (IQR)301.25

Descriptive statistics

Standard deviation508.34779
Coefficient of variation (CV)1.289541
Kurtosis6.5647654
Mean394.20833
Median Absolute Deviation (MAD)154.5
Skewness2.5795447
Sum9461
Variance258417.48
MonotonicityNot monotonic
2023-12-10T23:18:42.907125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 2
 
8.3%
128 2
 
8.3%
265 1
 
4.2%
238 1
 
4.2%
219 1
 
4.2%
683 1
 
4.2%
102 1
 
4.2%
354 1
 
4.2%
1789 1
 
4.2%
302 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
0 2
8.3%
16 1
4.2%
94 1
4.2%
100 1
4.2%
102 1
4.2%
128 2
8.3%
168 1
4.2%
180 1
4.2%
219 1
4.2%
238 1
4.2%
ValueCountFrequency (%)
2072 1
4.2%
1789 1
4.2%
683 1
4.2%
610 1
4.2%
455 1
4.2%
431 1
4.2%
420 1
4.2%
415 1
4.2%
354 1
4.2%
302 1
4.2%

홍보지수구독자수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239883.5
Minimum0
Maximum1530000
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:43.048059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q11837.5
median31100
Q3278250
95-th percentile1287750
Maximum1530000
Range1530000
Interquartile range (IQR)276412.5

Descriptive statistics

Standard deviation420256.25
Coefficient of variation (CV)1.7519181
Kurtosis5.0935087
Mean239883.5
Median Absolute Deviation (MAD)31092.5
Skewness2.3386456
Sum5757204
Variance1.7661532 × 1011
MonotonicityNot monotonic
2023-12-10T23:18:43.207829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2
 
8.3%
110000 1
 
4.2%
1410000 1
 
4.2%
2570 1
 
4.2%
1530000 1
 
4.2%
439000 1
 
4.2%
595000 1
 
4.2%
16500 1
 
4.2%
188000 1
 
4.2%
2120 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
0 2
8.3%
15 1
4.2%
106 1
4.2%
603 1
4.2%
990 1
4.2%
2120 1
4.2%
2570 1
4.2%
4900 1
4.2%
13200 1
4.2%
16500 1
4.2%
ValueCountFrequency (%)
1530000 1
4.2%
1410000 1
4.2%
595000 1
4.2%
550000 1
4.2%
439000 1
4.2%
324000 1
4.2%
263000 1
4.2%
196000 1
4.2%
188000 1
4.2%
110000 1
4.2%

총조회수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65109161
Minimum0
Maximum4.3410795 × 108
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:43.398457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1887.2
Q1252019
median6494963.5
Q365693558
95-th percentile3.1810976 × 108
Maximum4.3410795 × 108
Range4.3410795 × 108
Interquartile range (IQR)65441539

Descriptive statistics

Standard deviation1.1535376 × 108
Coefficient of variation (CV)1.7716978
Kurtosis4.5241279
Mean65109161
Median Absolute Deviation (MAD)6494656.5
Skewness2.2157799
Sum1.5626199 × 109
Variance1.330649 × 1016
MonotonicityNot monotonic
2023-12-10T23:18:43.559645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
31738202 1
 
4.2%
3104877 1
 
4.2%
298813 1
 
4.2%
434107953 1
 
4.2%
25368498 1
 
4.2%
121201498 1
 
4.2%
7642995 1
 
4.2%
60806826 1
 
4.2%
280912 1
 
4.2%
338947531 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
0 1
4.2%
614 1
4.2%
9102 1
4.2%
35697 1
4.2%
48429 1
4.2%
165340 1
4.2%
280912 1
4.2%
298813 1
4.2%
608337 1
4.2%
3104877 1
4.2%
ValueCountFrequency (%)
434107953 1
4.2%
338947531 1
4.2%
200029049 1
4.2%
188364874 1
4.2%
121201498 1
4.2%
80353755 1
4.2%
60806826 1
4.2%
46538213 1
4.2%
31738202 1
4.2%
25368498 1
4.2%

총좋아요수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828297.46
Minimum0
Maximum4736485
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:43.745335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q13271.25
median115849.5
Q31004952
95-th percentile4310126.2
Maximum4736485
Range4736485
Interquartile range (IQR)1001680.8

Descriptive statistics

Standard deviation1378974.9
Coefficient of variation (CV)1.6648305
Kurtosis3.8163577
Mean828297.46
Median Absolute Deviation (MAD)115849.5
Skewness2.087386
Sum19879139
Variance1.9015717 × 1012
MonotonicityNot monotonic
2023-12-10T23:18:43.922141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2
 
8.3%
411011 1
 
4.2%
4736485 1
 
4.2%
6484 1
 
4.2%
4669764 1
 
4.2%
575378 1
 
4.2%
1959462 1
 
4.2%
158973 1
 
4.2%
381790 1
 
4.2%
3792 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
0 2
8.3%
2 1
4.2%
424 1
4.2%
1619 1
4.2%
1709 1
4.2%
3792 1
4.2%
6484 1
4.2%
15133 1
4.2%
30156 1
4.2%
45423 1
4.2%
ValueCountFrequency (%)
4736485 1
4.2%
4669764 1
4.2%
2272179 1
4.2%
1980837 1
4.2%
1959462 1
4.2%
1058928 1
4.2%
986960 1
4.2%
575378 1
4.2%
509904 1
4.2%
411011 1
4.2%

총싫어요수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28979.125
Minimum0
Maximum169409
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:44.089981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166.5
median4116.5
Q346031.25
95-th percentile145782.25
Maximum169409
Range169409
Interquartile range (IQR)45964.75

Descriptive statistics

Standard deviation47490.766
Coefficient of variation (CV)1.6387923
Kurtosis4.225238
Mean28979.125
Median Absolute Deviation (MAD)4116.5
Skewness2.1278466
Sum695499
Variance2.2553729 × 109
MonotonicityNot monotonic
2023-12-10T23:18:44.276317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 3
 
12.5%
32328 1
 
4.2%
69465 1
 
4.2%
141 1
 
4.2%
159250 1
 
4.2%
7864 1
 
4.2%
61901 1
 
4.2%
11196 1
 
4.2%
24141 1
 
4.2%
74 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
0 3
12.5%
11 1
 
4.2%
23 1
 
4.2%
44 1
 
4.2%
74 1
 
4.2%
141 1
 
4.2%
218 1
 
4.2%
874 1
 
4.2%
1487 1
 
4.2%
1683 1
 
4.2%
ValueCountFrequency (%)
169409 1
4.2%
159250 1
4.2%
69465 1
4.2%
61901 1
4.2%
56045 1
4.2%
47130 1
4.2%
45665 1
4.2%
32328 1
4.2%
24141 1
4.2%
11196 1
4.2%

월간활성사용자수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean170.31818
Minimum0
Maximum616
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:44.444952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q160
median129
Q3271.25
95-th percentile456
Maximum616
Range616
Interquartile range (IQR)211.25

Descriptive statistics

Standard deviation157.90394
Coefficient of variation (CV)0.9271115
Kurtosis1.7585139
Mean170.31818
Median Absolute Deviation (MAD)77.5
Skewness1.3355953
Sum3747
Variance24933.656
MonotonicityNot monotonic
2023-12-10T23:18:45.075065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 2
 
8.3%
49 1
 
4.2%
116 1
 
4.2%
284 1
 
4.2%
58 1
 
4.2%
204 1
 
4.2%
463 1
 
4.2%
323 1
 
4.2%
133 1
 
4.2%
616 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
0 2
8.3%
6 1
4.2%
49 1
4.2%
58 1
4.2%
59 1
4.2%
63 1
4.2%
64 1
4.2%
70 1
4.2%
116 1
4.2%
125 1
4.2%
ValueCountFrequency (%)
616 1
4.2%
463 1
4.2%
323 1
4.2%
306 1
4.2%
289 1
4.2%
284 1
4.2%
233 1
4.2%
204 1
4.2%
144 1
4.2%
142 1
4.2%

최근조회수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean994606.38
Minimum0
Maximum11074605
Zeros5
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:45.373261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1350
median11764.5
Q3861053.75
95-th percentile3319365.1
Maximum11074605
Range11074605
Interquartile range (IQR)860703.75

Descriptive statistics

Standard deviation2366740.7
Coefficient of variation (CV)2.3795753
Kurtosis15.253466
Mean994606.38
Median Absolute Deviation (MAD)11764.5
Skewness3.6859525
Sum23870553
Variance5.6014616 × 1012
MonotonicityNot monotonic
2023-12-10T23:18:45.763835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 5
20.8%
350 2
 
8.3%
3427024 1
 
4.2%
266504 1
 
4.2%
15260 1
 
4.2%
2065918 1
 
4.2%
25996 1
 
4.2%
1579517 1
 
4.2%
2840 1
 
4.2%
8269 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
0 5
20.8%
350 2
 
8.3%
468 1
 
4.2%
2840 1
 
4.2%
4418 1
 
4.2%
5304 1
 
4.2%
8269 1
 
4.2%
15260 1
 
4.2%
25996 1
 
4.2%
79070 1
 
4.2%
ValueCountFrequency (%)
11074605 1
4.2%
3427024 1
4.2%
2709298 1
4.2%
2065918 1
4.2%
1899777 1
4.2%
1579517 1
4.2%
621566 1
4.2%
266504 1
4.2%
84019 1
4.2%
79070 1
4.2%

최근좋아요수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21083.792
Minimum0
Maximum170163
Zeros5
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:46.078895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median483
Q318831.5
95-th percentile119261.25
Maximum170163
Range170163
Interquartile range (IQR)18825

Descriptive statistics

Standard deviation43647.359
Coefficient of variation (CV)2.0701855
Kurtosis6.6098513
Mean21083.792
Median Absolute Deviation (MAD)483
Skewness2.6051114
Sum506011
Variance1.905092 × 109
MonotonicityNot monotonic
2023-12-10T23:18:46.304740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5
20.8%
46553 1
 
4.2%
131184 1
 
4.2%
684 1
 
4.2%
31154 1
 
4.2%
709 1
 
4.2%
47331 1
 
4.2%
200 1
 
4.2%
282 1
 
4.2%
188 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
0 5
20.8%
2 1
 
4.2%
8 1
 
4.2%
22 1
 
4.2%
88 1
 
4.2%
188 1
 
4.2%
200 1
 
4.2%
282 1
 
4.2%
684 1
 
4.2%
709 1
 
4.2%
ValueCountFrequency (%)
170163 1
4.2%
131184 1
4.2%
51699 1
4.2%
47331 1
4.2%
46553 1
4.2%
31154 1
4.2%
14724 1
4.2%
5214 1
4.2%
4943 1
4.2%
863 1
4.2%

최근싫어요수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.54167
Minimum0
Maximum3304
Zeros8
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:46.447337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.5
Q3250.25
95-th percentile2039.6
Maximum3304
Range3304
Interquartile range (IQR)250.25

Descriptive statistics

Standard deviation888.46399
Coefficient of variation (CV)1.9852095
Kurtosis4.0465086
Mean447.54167
Median Absolute Deviation (MAD)13.5
Skewness2.1641222
Sum10741
Variance789368.26
MonotonicityNot monotonic
2023-12-10T23:18:46.649463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 8
33.3%
3304 1
 
4.2%
3 1
 
4.2%
19 1
 
4.2%
515 1
 
4.2%
13 1
 
4.2%
680 1
 
4.2%
14 1
 
4.2%
4 1
 
4.2%
162 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 8
33.3%
1 1
 
4.2%
3 1
 
4.2%
4 1
 
4.2%
13 1
 
4.2%
14 1
 
4.2%
19 1
 
4.2%
28 1
 
4.2%
43 1
 
4.2%
158 1
 
4.2%
ValueCountFrequency (%)
3304 1
4.2%
2042 1
4.2%
2026 1
4.2%
1729 1
4.2%
680 1
4.2%
515 1
4.2%
162 1
4.2%
158 1
4.2%
43 1
4.2%
28 1
4.2%


Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2700.2917
Minimum0
Maximum23693
Zeros5
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:46.819608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median81
Q31500
95-th percentile13845.75
Maximum23693
Range23693
Interquartile range (IQR)1497

Descriptive statistics

Standard deviation5781.6329
Coefficient of variation (CV)2.1411142
Kurtosis7.5649742
Mean2700.2917
Median Absolute Deviation (MAD)81
Skewness2.7105523
Sum64807
Variance33427278
MonotonicityNot monotonic
2023-12-10T23:18:46.975351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 5
20.8%
3 2
 
8.3%
7121 1
 
4.2%
1093 1
 
4.2%
167 1
 
4.2%
2721 1
 
4.2%
119 1
 
4.2%
4195 1
 
4.2%
43 1
 
4.2%
15 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
0 5
20.8%
3 2
 
8.3%
7 1
 
4.2%
8 1
 
4.2%
14 1
 
4.2%
15 1
 
4.2%
43 1
 
4.2%
119 1
 
4.2%
167 1
 
4.2%
188 1
 
4.2%
ValueCountFrequency (%)
23693 1
4.2%
14601 1
4.2%
9566 1
4.2%
7121 1
4.2%
4195 1
4.2%
2721 1
4.2%
1093 1
4.2%
665 1
4.2%
585 1
4.2%
188 1
4.2%
Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
14 
<NA>
0
2

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 14
58.3%
<NA> 6
25.0%
0 2
 
8.3%
2 2
 
8.3%

Length

2023-12-10T23:18:47.197148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:47.362548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
58.3%
na 6
25.0%
0 2
 
8.3%
2 2
 
8.3%

정량지수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean0.67388889
Minimum0.26
Maximum1.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:47.521096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.26
5-th percentile0.3025
Q10.495
median0.68
Q30.7875
95-th percentile1.197
Maximum1.35
Range1.09
Interquartile range (IQR)0.2925

Descriptive statistics

Standard deviation0.27749168
Coefficient of variation (CV)0.41177661
Kurtosis1.0695708
Mean0.67388889
Median Absolute Deviation (MAD)0.145
Skewness0.83968262
Sum12.13
Variance0.077001634
MonotonicityNot monotonic
2023-12-10T23:18:47.689422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.68 2
 
8.3%
0.36 1
 
4.2%
0.58 1
 
4.2%
0.31 1
 
4.2%
1.35 1
 
4.2%
0.51 1
 
4.2%
0.75 1
 
4.2%
0.84 1
 
4.2%
0.49 1
 
4.2%
0.79 1
 
4.2%
Other values (7) 7
29.2%
(Missing) 6
25.0%
ValueCountFrequency (%)
0.26 1
4.2%
0.31 1
4.2%
0.36 1
4.2%
0.48 1
4.2%
0.49 1
4.2%
0.51 1
4.2%
0.55 1
4.2%
0.58 1
4.2%
0.68 2
8.3%
0.74 1
4.2%
ValueCountFrequency (%)
1.35 1
4.2%
1.17 1
4.2%
0.84 1
4.2%
0.81 1
4.2%
0.79 1
4.2%
0.78 1
4.2%
0.75 1
4.2%
0.74 1
4.2%
0.68 2
8.3%
0.58 1
4.2%

정성지수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.47590909
Minimum0
Maximum1.59
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:47.864944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0005
Q10.15
median0.28
Q30.755
95-th percentile1.2295
Maximum1.59
Range1.59
Interquartile range (IQR)0.605

Descriptive statistics

Standard deviation0.43229905
Coefficient of variation (CV)0.90836476
Kurtosis0.57368879
Mean0.47590909
Median Absolute Deviation (MAD)0.255
Skewness1.0359179
Sum10.47
Variance0.18688247
MonotonicityNot monotonic
2023-12-10T23:18:48.057786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.68 2
 
8.3%
0.15 2
 
8.3%
0.0 2
 
8.3%
0.22 1
 
4.2%
1.59 1
 
4.2%
0.26 1
 
4.2%
1.24 1
 
4.2%
0.25 1
 
4.2%
1.03 1
 
4.2%
0.78 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
0.0 2
8.3%
0.01 1
4.2%
0.11 1
4.2%
0.13 1
4.2%
0.15 2
8.3%
0.22 1
4.2%
0.25 1
4.2%
0.26 1
4.2%
0.27 1
4.2%
0.29 1
4.2%
ValueCountFrequency (%)
1.59 1
4.2%
1.24 1
4.2%
1.03 1
4.2%
0.85 1
4.2%
0.79 1
4.2%
0.78 1
4.2%
0.68 2
8.3%
0.52 1
4.2%
0.47 1
4.2%
0.29 1
4.2%

종합홍보지수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean0.54625
Minimum0.23
Maximum1.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:48.225801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.245
Q10.2975
median0.55
Q30.7225
95-th percentile0.9125
Maximum1.04
Range0.81
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation0.25078211
Coefficient of variation (CV)0.45909768
Kurtosis-0.84003466
Mean0.54625
Median Absolute Deviation (MAD)0.21
Skewness0.32018826
Sum8.74
Variance0.062891667
MonotonicityNot monotonic
2023-12-10T23:18:48.449423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.25 2
 
8.3%
0.68 1
 
4.2%
0.26 1
 
4.2%
0.73 1
 
4.2%
0.46 1
 
4.2%
0.59 1
 
4.2%
0.23 1
 
4.2%
0.58 1
 
4.2%
0.82 1
 
4.2%
0.31 1
 
4.2%
Other values (5) 5
20.8%
(Missing) 8
33.3%
ValueCountFrequency (%)
0.23 1
4.2%
0.25 2
8.3%
0.26 1
4.2%
0.31 1
4.2%
0.43 1
4.2%
0.46 1
4.2%
0.52 1
4.2%
0.58 1
4.2%
0.59 1
4.2%
0.68 1
4.2%
ValueCountFrequency (%)
1.04 1
4.2%
0.87 1
4.2%
0.82 1
4.2%
0.73 1
4.2%
0.72 1
4.2%
0.68 1
4.2%
0.59 1
4.2%
0.58 1
4.2%
0.52 1
4.2%
0.46 1
4.2%

정량지수표준점수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean0.67388889
Minimum0.26
Maximum1.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:48.646979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.26
5-th percentile0.3025
Q10.495
median0.68
Q30.7875
95-th percentile1.197
Maximum1.35
Range1.09
Interquartile range (IQR)0.2925

Descriptive statistics

Standard deviation0.27749168
Coefficient of variation (CV)0.41177661
Kurtosis1.0695708
Mean0.67388889
Median Absolute Deviation (MAD)0.145
Skewness0.83968262
Sum12.13
Variance0.077001634
MonotonicityNot monotonic
2023-12-10T23:18:48.828897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.68 2
 
8.3%
0.36 1
 
4.2%
0.58 1
 
4.2%
0.31 1
 
4.2%
1.35 1
 
4.2%
0.51 1
 
4.2%
0.75 1
 
4.2%
0.84 1
 
4.2%
0.49 1
 
4.2%
0.79 1
 
4.2%
Other values (7) 7
29.2%
(Missing) 6
25.0%
ValueCountFrequency (%)
0.26 1
4.2%
0.31 1
4.2%
0.36 1
4.2%
0.48 1
4.2%
0.49 1
4.2%
0.51 1
4.2%
0.55 1
4.2%
0.58 1
4.2%
0.68 2
8.3%
0.74 1
4.2%
ValueCountFrequency (%)
1.35 1
4.2%
1.17 1
4.2%
0.84 1
4.2%
0.81 1
4.2%
0.79 1
4.2%
0.78 1
4.2%
0.75 1
4.2%
0.74 1
4.2%
0.68 2
8.3%
0.58 1
4.2%

정성지수표준점수
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean0.47590909
Minimum0
Maximum1.59
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:49.026926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0005
Q10.15
median0.28
Q30.755
95-th percentile1.2295
Maximum1.59
Range1.59
Interquartile range (IQR)0.605

Descriptive statistics

Standard deviation0.43229905
Coefficient of variation (CV)0.90836476
Kurtosis0.57368879
Mean0.47590909
Median Absolute Deviation (MAD)0.255
Skewness1.0359179
Sum10.47
Variance0.18688247
MonotonicityNot monotonic
2023-12-10T23:18:49.185566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.68 2
 
8.3%
0.15 2
 
8.3%
0.0 2
 
8.3%
0.22 1
 
4.2%
1.59 1
 
4.2%
0.26 1
 
4.2%
1.24 1
 
4.2%
0.25 1
 
4.2%
1.03 1
 
4.2%
0.78 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
0.0 2
8.3%
0.01 1
4.2%
0.11 1
4.2%
0.13 1
4.2%
0.15 2
8.3%
0.22 1
4.2%
0.25 1
4.2%
0.26 1
4.2%
0.27 1
4.2%
0.29 1
4.2%
ValueCountFrequency (%)
1.59 1
4.2%
1.24 1
4.2%
1.03 1
4.2%
0.85 1
4.2%
0.79 1
4.2%
0.78 1
4.2%
0.68 2
8.3%
0.52 1
4.2%
0.47 1
4.2%
0.29 1
4.2%

종합홍보지수표준점수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)93.8%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean0.54625
Minimum0.23
Maximum1.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T23:18:49.328685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.245
Q10.2975
median0.55
Q30.7225
95-th percentile0.9125
Maximum1.04
Range0.81
Interquartile range (IQR)0.425

Descriptive statistics

Standard deviation0.25078211
Coefficient of variation (CV)0.45909768
Kurtosis-0.84003466
Mean0.54625
Median Absolute Deviation (MAD)0.21
Skewness0.32018826
Sum8.74
Variance0.062891667
MonotonicityNot monotonic
2023-12-10T23:18:49.544345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.25 2
 
8.3%
0.68 1
 
4.2%
0.26 1
 
4.2%
0.73 1
 
4.2%
0.46 1
 
4.2%
0.59 1
 
4.2%
0.23 1
 
4.2%
0.58 1
 
4.2%
0.82 1
 
4.2%
0.31 1
 
4.2%
Other values (5) 5
20.8%
(Missing) 8
33.3%
ValueCountFrequency (%)
0.23 1
4.2%
0.25 2
8.3%
0.26 1
4.2%
0.31 1
4.2%
0.43 1
4.2%
0.46 1
4.2%
0.52 1
4.2%
0.58 1
4.2%
0.59 1
4.2%
0.68 1
4.2%
ValueCountFrequency (%)
1.04 1
4.2%
0.87 1
4.2%
0.82 1
4.2%
0.73 1
4.2%
0.72 1
4.2%
0.68 1
4.2%
0.59 1
4.2%
0.58 1
4.2%
0.52 1
4.2%
0.46 1
4.2%

Sample

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