Overview

Dataset statistics

Number of variables22
Number of observations28
Missing cells35
Missing cells (%)5.7%
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/da3ab706-4012-473e-8bd6-572b1724c367

Alerts

홍보지수수집일자 has constant value ""Constant
홍보지수채널설명 has 4 (14.3%) missing valuesMissing
월간활성사용자수 has 3 (10.7%) missing valuesMissing
정량지수 has 4 (14.3%) missing valuesMissing
정성지수 has 3 (10.7%) missing valuesMissing
종합홍보지수 has 7 (25.0%) missing valuesMissing
정량지수표준점수 has 4 (14.3%) missing valuesMissing
정성지수표준점수 has 3 (10.7%) missing valuesMissing
종합홍보지수표준점수 has 7 (25.0%) missing valuesMissing
홍보지수채널ID has unique valuesUnique
홍보지수채널명 has unique valuesUnique
채널생성일 has unique valuesUnique
산출물수 has 2 (7.1%) zerosZeros
홍보지수구독자수 has 3 (10.7%) zerosZeros
총조회수 has 2 (7.1%) zerosZeros
총좋아요수 has 2 (7.1%) zerosZeros
총싫어요수 has 2 (7.1%) zerosZeros
월간활성사용자수 has 2 (7.1%) zerosZeros
최근조회수 has 5 (17.9%) zerosZeros
최근좋아요수 has 5 (17.9%) zerosZeros
최근싫어요수 has 10 (35.7%) zerosZeros
수 has 6 (21.4%) zerosZeros
정성지수 has 1 (3.6%) zerosZeros
정성지수표준점수 has 1 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-10 14:20:37.397618
Analysis finished2023-12-10 14:20:37.880912
Duration0.48 seconds
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
2023-12-10T23:20:38.027290image/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 rowUC7DRERDIJUzxcbwIFeIom3g
2nd rowUCXCWRCVu8jojuCb_ruZAyeQ
3rd rowUCbPBCZhgG_kX_1Wb0cdu5lw
4th rowUCAblCIHbQXcbjmbLzst6acQ
5th rowUCzay0uHEiaSsKmuGkCg-mSg
ValueCountFrequency (%)
uc7drerdijuzxcbwifeiom3g 1
 
3.6%
ucxcwrcvu8jojucb_ruzayeq 1
 
3.6%
ucbk_1o-tz23bzvjvx2ie5iw 1
 
3.6%
uczuv_ldqqyp17-scwbanlsg 1
 
3.6%
ucbmynmnks3moqrkgmm_frba 1
 
3.6%
uci-czvbfyfggzccqjnyf16g 1
 
3.6%
ucadrswjaps2qsffhrsnvifa 1
 
3.6%
uck9lnxyzwtotdhozdv6msla 1
 
3.6%
ucud4smvdco9uq7yrtqi937a 1
 
3.6%
ucmf6s380uqosnrcs231mj5g 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:20:38.443148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 41
 
6.1%
U 37
 
5.5%
A 21
 
3.1%
g 20
 
3.0%
m 20
 
3.0%
u 16
 
2.4%
r 15
 
2.2%
v 15
 
2.2%
c 14
 
2.1%
z 14
 
2.1%
Other values (54) 459
68.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 293
43.6%
Lowercase Letter 280
41.7%
Decimal Number 79
 
11.8%
Connector Punctuation 10
 
1.5%
Dash Punctuation 10
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 41
 
14.0%
U 37
 
12.6%
A 21
 
7.2%
F 13
 
4.4%
N 13
 
4.4%
D 13
 
4.4%
Y 13
 
4.4%
G 12
 
4.1%
Q 12
 
4.1%
B 11
 
3.8%
Other values (16) 107
36.5%
Lowercase Letter
ValueCountFrequency (%)
g 20
 
7.1%
m 20
 
7.1%
u 16
 
5.7%
r 15
 
5.4%
v 15
 
5.4%
c 14
 
5.0%
z 14
 
5.0%
s 14
 
5.0%
b 13
 
4.6%
w 12
 
4.3%
Other values (16) 127
45.4%
Decimal Number
ValueCountFrequency (%)
0 10
12.7%
6 9
11.4%
5 9
11.4%
9 9
11.4%
1 8
10.1%
3 8
10.1%
7 7
8.9%
2 7
8.9%
8 7
8.9%
4 5
6.3%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 573
85.3%
Common 99
 
14.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 41
 
7.2%
U 37
 
6.5%
A 21
 
3.7%
g 20
 
3.5%
m 20
 
3.5%
u 16
 
2.8%
r 15
 
2.6%
v 15
 
2.6%
c 14
 
2.4%
z 14
 
2.4%
Other values (42) 360
62.8%
Common
ValueCountFrequency (%)
0 10
10.1%
_ 10
10.1%
- 10
10.1%
6 9
9.1%
5 9
9.1%
9 9
9.1%
1 8
8.1%
3 8
8.1%
7 7
7.1%
2 7
7.1%
Other values (2) 12
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 41
 
6.1%
U 37
 
5.5%
A 21
 
3.1%
g 20
 
3.0%
m 20
 
3.0%
u 16
 
2.4%
r 15
 
2.2%
v 15
 
2.2%
c 14
 
2.1%
z 14
 
2.1%
Other values (54) 459
68.3%

홍보지수채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:20:38.690296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length14
Mean length11.25
Min length2

Characters and Unicode

Total characters315
Distinct characters136
Distinct categories7 ?
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 rowRomantic cat 낭만고양이tv
2nd row[LH티비로 채널 이전 완료]
3rd row소방청
4th row성북청소년미래지원센터
5th row뭉땡뭉땡
ValueCountFrequency (%)
romantic 1
 
2.2%
yootrue 1
 
2.2%
air 1
 
2.2%
한누렁 1
 
2.2%
bel 1
 
2.2%
sound 1
 
2.2%
박덕환 1
 
2.2%
한국기상산업기술원 1
 
2.2%
과학기술정보통신부 1
 
2.2%
영주시청 1
 
2.2%
Other values (35) 35
77.8%
2023-12-10T23:20:39.063982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
5.4%
o 9
 
2.9%
기 8
 
2.5%
a 8
 
2.5%
O 8
 
2.5%
시 7
 
2.2%
S 6
 
1.9%
e 6
 
1.9%
T 6
 
1.9%
국 6
 
1.9%
Other values (126) 234
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
50.2%
Lowercase Letter 72
22.9%
Uppercase Letter 62
 
19.7%
Space Separator 17
 
5.4%
Open Punctuation 2
 
0.6%
Dash Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8
 
5.1%
시 7
 
4.4%
국 6
 
3.8%
단 5
 
3.2%
한 5
 
3.2%
청 4
 
2.5%
리 4
 
2.5%
술 4
 
2.5%
원 3
 
1.9%
이 3
 
1.9%
Other values (82) 109
69.0%
Lowercase Letter
ValueCountFrequency (%)
o 9
12.5%
a 8
11.1%
e 6
 
8.3%
t 5
 
6.9%
n 5
 
6.9%
h 4
 
5.6%
l 4
 
5.6%
u 4
 
5.6%
c 4
 
5.6%
i 4
 
5.6%
Other values (10) 19
26.4%
Uppercase Letter
ValueCountFrequency (%)
O 8
12.9%
S 6
 
9.7%
T 6
 
9.7%
I 5
 
8.1%
E 4
 
6.5%
Y 4
 
6.5%
R 4
 
6.5%
H 3
 
4.8%
L 3
 
4.8%
K 3
 
4.8%
Other values (10) 16
25.8%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
50.2%
Latin 134
42.5%
Common 23
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8
 
5.1%
시 7
 
4.4%
국 6
 
3.8%
단 5
 
3.2%
한 5
 
3.2%
청 4
 
2.5%
리 4
 
2.5%
술 4
 
2.5%
원 3
 
1.9%
이 3
 
1.9%
Other values (82) 109
69.0%
Latin
ValueCountFrequency (%)
o 9
 
6.7%
a 8
 
6.0%
O 8
 
6.0%
S 6
 
4.5%
e 6
 
4.5%
T 6
 
4.5%
I 5
 
3.7%
t 5
 
3.7%
n 5
 
3.7%
E 4
 
3.0%
Other values (30) 72
53.7%
Common
ValueCountFrequency (%)
17
73.9%
[ 2
 
8.7%
- 2
 
8.7%
] 2
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
50.2%
ASCII 157
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
 
10.8%
o 9
 
5.7%
a 8
 
5.1%
O 8
 
5.1%
S 6
 
3.8%
e 6
 
3.8%
T 6
 
3.8%
I 5
 
3.2%
t 5
 
3.2%
n 5
 
3.2%
Other values (34) 82
52.2%
Hangul
ValueCountFrequency (%)
기 8
 
5.1%
시 7
 
4.4%
국 6
 
3.8%
단 5
 
3.2%
한 5
 
3.2%
청 4
 
2.5%
리 4
 
2.5%
술 4
 
2.5%
원 3
 
1.9%
이 3
 
1.9%
Other values (82) 109
69.0%

홍보지수수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021-03-01
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-01
2nd row2021-03-01
3rd row2021-03-01
4th row2021-03-01
5th row2021-03-01

Common Values

ValueCountFrequency (%)
2021-03-01 28
100.0%

Length

2023-12-10T23:20:39.184778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:39.274125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-01 28
100.0%

홍보지수채널설명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing4
Missing (%)14.3%
Memory size356.0 B
2023-12-10T23:20:39.525293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length784
Median length51
Mean length123.5
Min length8

Characters and Unicode

Total characters2964
Distinct characters366
Distinct categories13 ?
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 row길고양이 전문채널 방송
2nd row안전한 나라 행복한 국민; 대한민국 119!
3rd row#진로직업체험지원 #자기주도학습지원 #학력신장지원 # 멘토링지원 #입시진학
4th row뭉이땡이 가족의 일상이야기 :) 채널에 놀러와주셔서 감사합니다!
5th row동갑내기 친구들의 맛집탐방&먹부림! 둘이서도 잘 먹고 잘 놀러다닙니다 ^ㅅ^ 가보고 싶은 곳; 먹고 싶은 것 추천 받아요!
ValueCountFrequency (%)
17
 
3.4%
→ 7
 
1.4%
공식 6
 
1.2%
유튜브 5
 
1.0%
다양한 5
 
1.0%
r&d 5
 
1.0%
이야기 5
 
1.0%
and 4
 
0.8%
my 3
 
0.6%
keit 3
 
0.6%
Other values (400) 440
88.0%
2023-12-10T23:20:39.960760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
511
 
17.2%
- 329
 
11.1%
o 61
 
2.1%
e 52
 
1.8%
a 52
 
1.8%
기 43
 
1.5%
이 43
 
1.5%
i 38
 
1.3%
m 38
 
1.3%
r 34
 
1.1%
Other values (356) 1763
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
43.7%
Lowercase Letter 558
18.8%
Space Separator 511
 
17.2%
Dash Punctuation 329
 
11.1%
Other Punctuation 129
 
4.4%
Uppercase Letter 93
 
3.1%
Math Symbol 12
 
0.4%
Decimal Number 11
 
0.4%
Close Punctuation 8
 
0.3%
Connector Punctuation 5
 
0.2%
Other values (3) 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 43
 
3.3%
이 43
 
3.3%
다 33
 
2.5%
한 28
 
2.2%
리 25
 
1.9%
니 25
 
1.9%
고 21
 
1.6%
공 21
 
1.6%
국 20
 
1.5%
는 19
 
1.5%
Other values (282) 1018
78.5%
Lowercase Letter
ValueCountFrequency (%)
o 61
 
10.9%
e 52
 
9.3%
a 52
 
9.3%
i 38
 
6.8%
m 38
 
6.8%
r 34
 
6.1%
n 31
 
5.6%
s 30
 
5.4%
t 28
 
5.0%
u 24
 
4.3%
Other values (15) 170
30.5%
Uppercase Letter
ValueCountFrequency (%)
I 16
17.2%
T 12
12.9%
K 9
9.7%
E 9
9.7%
D 6
 
6.5%
R 6
 
6.5%
O 4
 
4.3%
H 4
 
4.3%
B 3
 
3.2%
Y 3
 
3.2%
Other values (10) 21
22.6%
Other Punctuation
ValueCountFrequency (%)
. 30
23.3%
! 26
20.2%
; 17
13.2%
: 13
10.1%
# 11
 
8.5%
@ 8
 
6.2%
& 8
 
6.2%
? 6
 
4.7%
' 5
 
3.9%
* 4
 
3.1%
Decimal Number
ValueCountFrequency (%)
9 3
27.3%
0 2
18.2%
1 2
18.2%
3 1
 
9.1%
4 1
 
9.1%
5 1
 
9.1%
2 1
 
9.1%
Math Symbol
ValueCountFrequency (%)
→ 7
58.3%
~ 4
33.3%
+ 1
 
8.3%
Other Symbol
ValueCountFrequency (%)
★ 3
75.0%
♡ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
511
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1296
43.7%
Common 1017
34.3%
Latin 651
22.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 43
 
3.3%
이 43
 
3.3%
다 33
 
2.5%
한 28
 
2.2%
리 25
 
1.9%
니 25
 
1.9%
고 21
 
1.6%
공 21
 
1.6%
국 20
 
1.5%
는 19
 
1.5%
Other values (282) 1018
78.5%
Latin
ValueCountFrequency (%)
o 61
 
9.4%
e 52
 
8.0%
a 52
 
8.0%
i 38
 
5.8%
m 38
 
5.8%
r 34
 
5.2%
n 31
 
4.8%
s 30
 
4.6%
t 28
 
4.3%
u 24
 
3.7%
Other values (35) 263
40.4%
Common
ValueCountFrequency (%)
511
50.2%
- 329
32.4%
. 30
 
2.9%
! 26
 
2.6%
; 17
 
1.7%
: 13
 
1.3%
# 11
 
1.1%
) 8
 
0.8%
@ 8
 
0.8%
& 8
 
0.8%
Other values (19) 56
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1656
55.9%
Hangul 1295
43.7%
Arrows 7
 
0.2%
Misc Symbols 4
 
0.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
511
30.9%
- 329
19.9%
o 61
 
3.7%
e 52
 
3.1%
a 52
 
3.1%
i 38
 
2.3%
m 38
 
2.3%
r 34
 
2.1%
n 31
 
1.9%
s 30
 
1.8%
Other values (60) 480
29.0%
Hangul
ValueCountFrequency (%)
기 43
 
3.3%
이 43
 
3.3%
다 33
 
2.5%
한 28
 
2.2%
리 25
 
1.9%
니 25
 
1.9%
고 21
 
1.6%
공 21
 
1.6%
국 20
 
1.5%
는 19
 
1.5%
Other values (281) 1017
78.5%
Arrows
ValueCountFrequency (%)
→ 7
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 3
75.0%
♡ 1
 
25.0%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
100.0%

채널생성일
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2011-03-31 00:00:00
Maximum2019-07-25 00:00:00
2023-12-10T23:20:40.081274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:20:40.215044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

산출물수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.78571
Minimum0
Maximum1278
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:40.329287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q147
median165.5
Q3381.5
95-th percentile765.8
Maximum1278
Range1278
Interquartile range (IQR)334.5

Descriptive statistics

Standard deviation294.33206
Coefficient of variation (CV)1.1243244
Kurtosis4.3422765
Mean261.78571
Median Absolute Deviation (MAD)137
Skewness1.9171776
Sum7330
Variance86631.36
MonotonicityNot monotonic
2023-12-10T23:20:40.684422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
595 1
 
3.6%
35 1
 
3.6%
182 1
 
3.6%
332 1
 
3.6%
178 1
 
3.6%
500 1
 
3.6%
41 1
 
3.6%
255 1
 
3.6%
20 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
14 1
3.6%
20 1
3.6%
22 1
3.6%
35 1
3.6%
41 1
3.6%
49 1
3.6%
72 1
3.6%
86 1
3.6%
132 1
3.6%
ValueCountFrequency (%)
1278 1
3.6%
854 1
3.6%
602 1
3.6%
595 1
3.6%
500 1
3.6%
439 1
3.6%
404 1
3.6%
374 1
3.6%
332 1
3.6%
255 1
3.6%

홍보지수구독자수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91757.179
Minimum0
Maximum569000
Zeros3
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:40.801353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11545
median6990
Q397725
95-th percentile463200
Maximum569000
Range569000
Interquartile range (IQR)96180

Descriptive statistics

Standard deviation162511.78
Coefficient of variation (CV)1.771107
Kurtosis2.8627317
Mean91757.179
Median Absolute Deviation (MAD)6990
Skewness1.9872549
Sum2569201
Variance2.641008 × 1010
MonotonicityNot monotonic
2023-12-10T23:20:40.911918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 3
 
10.7%
111000 1
 
3.6%
93300 1
 
3.6%
3770 1
 
3.6%
1050 1
 
3.6%
569000 1
 
3.6%
202000 1
 
3.6%
8080 1
 
3.6%
45300 1
 
3.6%
3580 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
0 3
10.7%
42 1
 
3.6%
131 1
 
3.6%
218 1
 
3.6%
1050 1
 
3.6%
1710 1
 
3.6%
2920 1
 
3.6%
3450 1
 
3.6%
3580 1
 
3.6%
3770 1
 
3.6%
ValueCountFrequency (%)
569000 1
3.6%
473000 1
3.6%
445000 1
3.6%
345000 1
3.6%
202000 1
3.6%
117000 1
3.6%
111000 1
3.6%
93300 1
3.6%
72900 1
3.6%
45300 1
3.6%

총조회수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17496988
Minimum0
Maximum1.340009 × 108
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:41.031666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile616.35
Q1217792.5
median1549167
Q314452123
95-th percentile86306376
Maximum1.340009 × 108
Range1.340009 × 108
Interquartile range (IQR)14234330

Descriptive statistics

Standard deviation33621917
Coefficient of variation (CV)1.9215831
Kurtosis5.2073954
Mean17496988
Median Absolute Deviation (MAD)1549167
Skewness2.379697
Sum4.8991567 × 108
Variance1.1304333 × 1015
MonotonicityNot monotonic
2023-12-10T23:20:41.177626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
29965244 1
 
3.6%
1055655 1
 
3.6%
49210 1
 
3.6%
73451792 1
 
3.6%
16365243 1
 
3.6%
19605155 1
 
3.6%
8855866 1
 
3.6%
1545891 1
 
3.6%
5012280 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
1761 1
3.6%
7989 1
3.6%
8739 1
3.6%
49210 1
3.6%
60372 1
3.6%
270266 1
3.6%
367377 1
3.6%
439054 1
3.6%
752504 1
3.6%
ValueCountFrequency (%)
134000901 1
3.6%
93228075 1
3.6%
73451792 1
3.6%
71405320 1
3.6%
29965244 1
3.6%
19605155 1
3.6%
16365243 1
3.6%
13814416 1
3.6%
8855866 1
3.6%
6899720 1
3.6%

총좋아요수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346400.14
Minimum0
Maximum3501651
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:41.361185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.45
Q12716.25
median18291.5
Q3159490
95-th percentile1770968
Maximum3501651
Range3501651
Interquartile range (IQR)156773.75

Descriptive statistics

Standard deviation789479.5
Coefficient of variation (CV)2.2790969
Kurtosis9.5464422
Mean346400.14
Median Absolute Deviation (MAD)18193.5
Skewness2.9815279
Sum9699204
Variance6.2327789 × 1011
MonotonicityNot monotonic
2023-12-10T23:20:41.508809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
2016997 1
 
3.6%
16598 1
 
3.6%
2902 1
 
3.6%
1053084 1
 
3.6%
277230 1
 
3.6%
19985 1
 
3.6%
62787 1
 
3.6%
4436 1
 
3.6%
39167 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
47 1
3.6%
61 1
3.6%
135 1
3.6%
1762 1
3.6%
2159 1
3.6%
2902 1
3.6%
2932 1
3.6%
4436 1
3.6%
4534 1
3.6%
ValueCountFrequency (%)
3501651 1
3.6%
2016997 1
3.6%
1314057 1
3.6%
1053084 1
3.6%
937692 1
3.6%
277230 1
3.6%
187471 1
3.6%
150163 1
3.6%
62787 1
3.6%
39167 1
3.6%

총싫어요수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6850.1429
Minimum0
Maximum55116
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:41.647640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35
Q170.25
median547
Q34453.25
95-th percentile39268.9
Maximum55116
Range55116
Interquartile range (IQR)4383

Descriptive statistics

Standard deviation14097.764
Coefficient of variation (CV)2.0580249
Kurtosis6.1737948
Mean6850.1429
Median Absolute Deviation (MAD)546.5
Skewness2.577974
Sum191804
Variance1.9874696 × 108
MonotonicityNot monotonic
2023-12-10T23:20:41.777308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
7.1%
12262 1
 
3.6%
477 1
 
3.6%
74 1
 
3.6%
25758 1
 
3.6%
4244 1
 
3.6%
1174 1
 
3.6%
3581 1
 
3.6%
926 1
 
3.6%
7524 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
0 2
7.1%
1 1
3.6%
3 1
3.6%
7 1
3.6%
52 1
3.6%
59 1
3.6%
74 1
3.6%
75 1
3.6%
129 1
3.6%
154 1
3.6%
ValueCountFrequency (%)
55116 1
3.6%
46544 1
3.6%
25758 1
3.6%
23197 1
3.6%
12262 1
3.6%
7524 1
3.6%
5081 1
3.6%
4244 1
3.6%
3581 1
3.6%
2186 1
3.6%

월간활성사용자수
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)92.0%
Missing3
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean234.2
Minimum0
Maximum2426
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:41.883101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.6
Q162
median148
Q3210
95-th percentile402.2
Maximum2426
Range2426
Interquartile range (IQR)148

Descriptive statistics

Standard deviation468.62592
Coefficient of variation (CV)2.0009646
Kurtosis22.216156
Mean234.2
Median Absolute Deviation (MAD)79
Skewness4.6026844
Sum5855
Variance219610.25
MonotonicityNot monotonic
2023-12-10T23:20:41.981873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
69 2
 
7.1%
0 2
 
7.1%
148 1
 
3.6%
280 1
 
3.6%
47 1
 
3.6%
129 1
 
3.6%
81 1
 
3.6%
2426 1
 
3.6%
195 1
 
3.6%
432 1
 
3.6%
Other values (13) 13
46.4%
(Missing) 3
 
10.7%
ValueCountFrequency (%)
0 2
7.1%
8 1
3.6%
47 1
3.6%
59 1
3.6%
61 1
3.6%
62 1
3.6%
69 2
7.1%
81 1
3.6%
85 1
3.6%
129 1
3.6%
ValueCountFrequency (%)
2426 1
3.6%
432 1
3.6%
283 1
3.6%
280 1
3.6%
270 1
3.6%
218 1
3.6%
210 1
3.6%
208 1
3.6%
207 1
3.6%
195 1
3.6%

최근조회수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642737.32
Minimum0
Maximum5835322
Zeros5
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:42.090265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11326.75
median46627.5
Q3545864.5
95-th percentile3664625.9
Maximum5835322
Range5835322
Interquartile range (IQR)544537.75

Descriptive statistics

Standard deviation1384996.7
Coefficient of variation (CV)2.1548409
Kurtosis8.662705
Mean642737.32
Median Absolute Deviation (MAD)46627.5
Skewness2.9574442
Sum17996645
Variance1.9182158 × 1012
MonotonicityNot monotonic
2023-12-10T23:20:42.191082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 5
 
17.9%
1473204 1
 
3.6%
633 1
 
3.6%
4365 1
 
3.6%
5355 1
 
3.6%
965056 1
 
3.6%
248591 1
 
3.6%
319646 1
 
3.6%
513913 1
 
3.6%
45728 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
0 5
17.9%
115 1
 
3.6%
633 1
 
3.6%
1558 1
 
3.6%
3199 1
 
3.6%
4365 1
 
3.6%
5355 1
 
3.6%
5944 1
 
3.6%
23738 1
 
3.6%
45728 1
 
3.6%
ValueCountFrequency (%)
5835322 1
3.6%
4501673 1
3.6%
2110110 1
3.6%
1473204 1
3.6%
965056 1
3.6%
738986 1
3.6%
641719 1
3.6%
513913 1
3.6%
319646 1
3.6%
254516 1
3.6%

최근좋아요수
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17308.75
Minimum0
Maximum163135
Zeros5
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:42.291766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median772
Q35686.25
95-th percentile108351.1
Maximum163135
Range163135
Interquartile range (IQR)5622.25

Descriptive statistics

Standard deviation40187.325
Coefficient of variation (CV)2.3217925
Kurtosis6.9946777
Mean17308.75
Median Absolute Deviation (MAD)772
Skewness2.7352953
Sum484645
Variance1.6150211 × 109
MonotonicityNot monotonic
2023-12-10T23:20:42.396112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 5
 
17.9%
99567 1
 
3.6%
31 1
 
3.6%
117 1
 
3.6%
386 1
 
3.6%
20550 1
 
3.6%
5207 1
 
3.6%
1717 1
 
3.6%
865 1
 
3.6%
321 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
0 5
17.9%
9 1
 
3.6%
31 1
 
3.6%
75 1
 
3.6%
117 1
 
3.6%
125 1
 
3.6%
197 1
 
3.6%
321 1
 
3.6%
386 1
 
3.6%
679 1
 
3.6%
ValueCountFrequency (%)
163135 1
3.6%
113081 1
3.6%
99567 1
3.6%
39682 1
3.6%
24155 1
3.6%
20550 1
3.6%
7124 1
3.6%
5207 1
3.6%
3365 1
3.6%
1717 1
3.6%

최근싫어요수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean422.64286
Minimum0
Maximum7797
Zeros10
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:42.503351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27
Q3188.75
95-th percentile1180
Maximum7797
Range7797
Interquartile range (IQR)188.75

Descriptive statistics

Standard deviation1477.4858
Coefficient of variation (CV)3.4958258
Kurtosis25.367394
Mean422.64286
Median Absolute Deviation (MAD)27
Skewness4.9587404
Sum11834
Variance2182964.3
MonotonicityNot monotonic
2023-12-10T23:20:42.606291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 10
35.7%
499 1
 
3.6%
4 1
 
3.6%
289 1
 
3.6%
64 1
 
3.6%
161 1
 
3.6%
283 1
 
3.6%
42 1
 
3.6%
101 1
 
3.6%
1 1
 
3.6%
Other values (9) 9
32.1%
ValueCountFrequency (%)
0 10
35.7%
1 1
 
3.6%
4 1
 
3.6%
8 1
 
3.6%
23 1
 
3.6%
31 1
 
3.6%
42 1
 
3.6%
64 1
 
3.6%
68 1
 
3.6%
101 1
 
3.6%
ValueCountFrequency (%)
7797 1
3.6%
1509 1
3.6%
569 1
3.6%
499 1
3.6%
289 1
3.6%
283 1
3.6%
272 1
3.6%
161 1
3.6%
113 1
3.6%
101 1
3.6%

수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1407.6071
Minimum0
Maximum10197
Zeros6
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:42.713065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median214
Q31121
95-th percentile8261.2
Maximum10197
Range10197
Interquartile range (IQR)1114.75

Descriptive statistics

Standard deviation2722.3426
Coefficient of variation (CV)1.9340216
Kurtosis6.5524077
Mean1407.6071
Median Absolute Deviation (MAD)214
Skewness2.6435412
Sum39413
Variance7411149.1
MonotonicityNot monotonic
2023-12-10T23:20:42.815518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 6
21.4%
4941 1
 
3.6%
20 1
 
3.6%
675 1
 
3.6%
2297 1
 
3.6%
799 1
 
3.6%
1689 1
 
3.6%
8 1
 
3.6%
82 1
 
3.6%
36 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
0 6
21.4%
1 1
 
3.6%
8 1
 
3.6%
20 1
 
3.6%
23 1
 
3.6%
28 1
 
3.6%
36 1
 
3.6%
82 1
 
3.6%
130 1
 
3.6%
298 1
 
3.6%
ValueCountFrequency (%)
10197 1
3.6%
10049 1
3.6%
4941 1
3.6%
3448 1
3.6%
2297 1
3.6%
1689 1
3.6%
1502 1
3.6%
994 1
3.6%
988 1
3.6%
799 1
3.6%

홍보정량개선도
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
16 
0
5 
<NA>
4 
2
2 
4
 
1

Length

Max length4
Median length1
Mean length1.4285714
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row1
2nd row<NA>
3rd row2
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 16
57.1%
0 5
 
17.9%
<NA> 4
 
14.3%
2 2
 
7.1%
4 1
 
3.6%

Length

2023-12-10T23:20:42.927297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:20:43.022945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
57.1%
0 5
 
17.9%
na 4
 
14.3%
2 2
 
7.1%
4 1
 
3.6%

정량지수
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing4
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.89375
Minimum0.01
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:43.127974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1395
Q10.5875
median0.83
Q31.07
95-th percentile1.699
Maximum3
Range2.99
Interquartile range (IQR)0.4825

Descriptive statistics

Standard deviation0.62223868
Coefficient of variation (CV)0.69621111
Kurtosis4.7919075
Mean0.89375
Median Absolute Deviation (MAD)0.24
Skewness1.6817152
Sum21.45
Variance0.38718098
MonotonicityNot monotonic
2023-12-10T23:20:43.245846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.95 2
 
7.1%
1.07 2
 
7.1%
1.58 1
 
3.6%
0.81 1
 
3.6%
0.34 1
 
3.6%
0.65 1
 
3.6%
0.71 1
 
3.6%
0.25 1
 
3.6%
0.4 1
 
3.6%
1.4 1
 
3.6%
Other values (12) 12
42.9%
(Missing) 4
 
14.3%
ValueCountFrequency (%)
0.01 1
3.6%
0.12 1
3.6%
0.25 1
3.6%
0.34 1
3.6%
0.37 1
3.6%
0.4 1
3.6%
0.65 1
3.6%
0.66 1
3.6%
0.69 1
3.6%
0.71 1
3.6%
ValueCountFrequency (%)
3.0 1
3.6%
1.72 1
3.6%
1.58 1
3.6%
1.4 1
3.6%
1.3 1
3.6%
1.07 2
7.1%
0.95 2
7.1%
0.89 1
3.6%
0.85 1
3.6%
0.84 1
3.6%

정성지수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)88.0%
Missing3
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean0.414
Minimum0
Maximum3.83
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:43.355569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.12
median0.25
Q30.44
95-th percentile0.72
Maximum3.83
Range3.83
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.74027022
Coefficient of variation (CV)1.7880923
Kurtosis20.883464
Mean0.414
Median Absolute Deviation (MAD)0.15
Skewness4.4089934
Sum10.35
Variance0.548
MonotonicityNot monotonic
2023-12-10T23:20:43.527678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.01 2
 
7.1%
0.1 2
 
7.1%
0.13 2
 
7.1%
0.27 1
 
3.6%
0.44 1
 
3.6%
0.07 1
 
3.6%
0.4 1
 
3.6%
0.19 1
 
3.6%
3.83 1
 
3.6%
0.32 1
 
3.6%
Other values (12) 12
42.9%
(Missing) 3
 
10.7%
ValueCountFrequency (%)
0.0 1
3.6%
0.01 2
7.1%
0.07 1
3.6%
0.1 2
7.1%
0.12 1
3.6%
0.13 2
7.1%
0.14 1
3.6%
0.19 1
3.6%
0.24 1
3.6%
0.25 1
3.6%
ValueCountFrequency (%)
3.83 1
3.6%
0.73 1
3.6%
0.68 1
3.6%
0.54 1
3.6%
0.51 1
3.6%
0.46 1
3.6%
0.44 1
3.6%
0.4 1
3.6%
0.35 1
3.6%
0.33 1
3.6%

종합홍보지수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing7
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean0.57047619
Minimum0.12
Maximum2.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:43.719463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.15
Q10.26
median0.44
Q30.58
95-th percentile1.23
Maximum2.92
Range2.8
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.59538623
Coefficient of variation (CV)1.0436653
Kurtosis13.053682
Mean0.57047619
Median Absolute Deviation (MAD)0.14
Skewness3.3718001
Sum11.98
Variance0.35448476
MonotonicityNot monotonic
2023-12-10T23:20:43.822074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.56 2
 
7.1%
0.58 2
 
7.1%
0.35 1
 
3.6%
0.26 1
 
3.6%
0.55 1
 
3.6%
0.15 1
 
3.6%
0.32 1
 
3.6%
2.92 1
 
3.6%
0.79 1
 
3.6%
0.21 1
 
3.6%
Other values (9) 9
32.1%
(Missing) 7
25.0%
ValueCountFrequency (%)
0.12 1
3.6%
0.15 1
3.6%
0.17 1
3.6%
0.21 1
3.6%
0.22 1
3.6%
0.26 1
3.6%
0.32 1
3.6%
0.35 1
3.6%
0.38 1
3.6%
0.4 1
3.6%
ValueCountFrequency (%)
2.92 1
3.6%
1.23 1
3.6%
0.79 1
3.6%
0.62 1
3.6%
0.58 2
7.1%
0.57 1
3.6%
0.56 2
7.1%
0.55 1
3.6%
0.44 1
3.6%
0.4 1
3.6%

정량지수표준점수
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)91.7%
Missing4
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.89375
Minimum0.01
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:43.925737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1395
Q10.5875
median0.83
Q31.07
95-th percentile1.699
Maximum3
Range2.99
Interquartile range (IQR)0.4825

Descriptive statistics

Standard deviation0.62223868
Coefficient of variation (CV)0.69621111
Kurtosis4.7919075
Mean0.89375
Median Absolute Deviation (MAD)0.24
Skewness1.6817152
Sum21.45
Variance0.38718098
MonotonicityNot monotonic
2023-12-10T23:20:44.033396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.95 2
 
7.1%
1.07 2
 
7.1%
1.58 1
 
3.6%
0.81 1
 
3.6%
0.34 1
 
3.6%
0.65 1
 
3.6%
0.71 1
 
3.6%
0.25 1
 
3.6%
0.4 1
 
3.6%
1.4 1
 
3.6%
Other values (12) 12
42.9%
(Missing) 4
 
14.3%
ValueCountFrequency (%)
0.01 1
3.6%
0.12 1
3.6%
0.25 1
3.6%
0.34 1
3.6%
0.37 1
3.6%
0.4 1
3.6%
0.65 1
3.6%
0.66 1
3.6%
0.69 1
3.6%
0.71 1
3.6%
ValueCountFrequency (%)
3.0 1
3.6%
1.72 1
3.6%
1.58 1
3.6%
1.4 1
3.6%
1.3 1
3.6%
1.07 2
7.1%
0.95 2
7.1%
0.89 1
3.6%
0.85 1
3.6%
0.84 1
3.6%

정성지수표준점수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)88.0%
Missing3
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean0.414
Minimum0
Maximum3.83
Zeros1
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:44.145156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.12
median0.25
Q30.44
95-th percentile0.72
Maximum3.83
Range3.83
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.74027022
Coefficient of variation (CV)1.7880923
Kurtosis20.883464
Mean0.414
Median Absolute Deviation (MAD)0.15
Skewness4.4089934
Sum10.35
Variance0.548
MonotonicityNot monotonic
2023-12-10T23:20:44.261321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.01 2
 
7.1%
0.1 2
 
7.1%
0.13 2
 
7.1%
0.27 1
 
3.6%
0.44 1
 
3.6%
0.07 1
 
3.6%
0.4 1
 
3.6%
0.19 1
 
3.6%
3.83 1
 
3.6%
0.32 1
 
3.6%
Other values (12) 12
42.9%
(Missing) 3
 
10.7%
ValueCountFrequency (%)
0.0 1
3.6%
0.01 2
7.1%
0.07 1
3.6%
0.1 2
7.1%
0.12 1
3.6%
0.13 2
7.1%
0.14 1
3.6%
0.19 1
3.6%
0.24 1
3.6%
0.25 1
3.6%
ValueCountFrequency (%)
3.83 1
3.6%
0.73 1
3.6%
0.68 1
3.6%
0.54 1
3.6%
0.51 1
3.6%
0.46 1
3.6%
0.44 1
3.6%
0.4 1
3.6%
0.35 1
3.6%
0.33 1
3.6%

종합홍보지수표준점수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing7
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean0.57047619
Minimum0.12
Maximum2.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:20:44.374335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.15
Q10.26
median0.44
Q30.58
95-th percentile1.23
Maximum2.92
Range2.8
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.59538623
Coefficient of variation (CV)1.0436653
Kurtosis13.053682
Mean0.57047619
Median Absolute Deviation (MAD)0.14
Skewness3.3718001
Sum11.98
Variance0.35448476
MonotonicityNot monotonic
2023-12-10T23:20:44.515537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.56 2
 
7.1%
0.58 2
 
7.1%
0.35 1
 
3.6%
0.26 1
 
3.6%
0.55 1
 
3.6%
0.15 1
 
3.6%
0.32 1
 
3.6%
2.92 1
 
3.6%
0.79 1
 
3.6%
0.21 1
 
3.6%
Other values (9) 9
32.1%
(Missing) 7
25.0%
ValueCountFrequency (%)
0.12 1
3.6%
0.15 1
3.6%
0.17 1
3.6%
0.21 1
3.6%
0.22 1
3.6%
0.26 1
3.6%
0.32 1
3.6%
0.35 1
3.6%
0.38 1
3.6%
0.4 1
3.6%
ValueCountFrequency (%)
2.92 1
3.6%
1.23 1
3.6%
0.79 1
3.6%
0.62 1
3.6%
0.58 2
7.1%
0.57 1
3.6%
0.56 2
7.1%
0.55 1
3.6%
0.44 1
3.6%
0.4 1
3.6%

Sample

홍보지수채널ID홍보지수채널명홍보지수수집일자홍보지수채널설명채널생성일산출물수홍보지수구독자수총조회수총좋아요수총싫어요수월간활성사용자수최근조회수최근좋아요수최근싫어요수수홍보정량개선도정량지수정성지수종합홍보지수정량지수표준점수정성지수표준점수종합홍보지수표준점수
0UC7DRERDIJUzxcbwIFeIom3gRomantic cat 낭만고양이tv2021-03-01길고양이 전문채널 방송2018-01-3059511100029965244201699712262270147320499567499494110.690.540.580.690.540.58
1UCXCWRCVu8jojuCb_ruZAyeQ[LH티비로 채널 이전 완료]2021-03-01<NA>2018-09-120495000000000<NA><NA>0.0<NA><NA>0.0<NA>
2UCbPBCZhgG_kX_1Wb0cdu5lw소방청2021-03-01안전한 나라 행복한 국민; 대한민국 119!2018-01-2640422600155244329277519694752716622372121.720.120.581.720.120.58
3UCAblCIHbQXcbjmbLzst6acQ성북청소년미래지원센터2021-03-01#진로직업체험지원 #자기주도학습지원 #학력신장지원 # 멘토링지원 #입시진학2014-02-12142181761611811590000.370.010.120.370.010.12
4UCzay0uHEiaSsKmuGkCg-mSg뭉땡뭉땡2021-03-01뭉이땡이 가족의 일상이야기 :) 채널에 놀러와주셔서 감사합니다!2015-11-29374473000134000901350165146544283450167316313515091004910.950.730.790.950.730.79
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홍보지수채널ID홍보지수채널명홍보지수수집일자홍보지수채널설명채널생성일산출물수홍보지수구독자수총조회수총좋아요수총싫어요수월간활성사용자수최근조회수최근좋아요수최근싫어요수수홍보정량개선도정량지수정성지수종합홍보지수정량지수표준점수정성지수표준점수종합홍보지수표준점수
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23UCI-czvbfYFggzCCQjnYF16gLIBS 국토인터넷방송국2021-03-01LX한국국토정보공사에서 운영중인 국토에 가치와 재미를 더하는 국토인터넷방송국입니다! 국토와 공간정보에 관한 다양한 정보와 LX한국국토정보공사의 다양한 이야기를 담은 재미있고 유익한 콘텐츠들로 만들어가고 있습니다.2017-03-3050080801960515519985117424263196461717161168910.713.832.920.713.832.92
24UCBmYnmnks3mOqRkgmm_frBA연우 Yeonwoo2021-03-01mewoob@gmail.com 연우의 여누시 공간 :) 늘 가까이에있는 여러분만의 크리에이터 연우입니다. 주로 메이크업 튜토리얼; 제품 리뷰하울; 패션 하울이나 일상 브이로그등 다양한 컨텐츠들을 보여드리려 해요 자주 소통하고 색다른 모습으로 자주 봐요 :) Just a person who love makeup and Fashion I'll always prepare new How-tomakeuptutorialHaulreview contents. I hope my video might help some of you to know about Korean-makeup; Tutorial. Thank you sooooo much for watching my Youtube channel and supporting me2017-06-121782020001636524327723042448124859152076479910.650.190.320.650.190.32
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26UCBk_1o-TZ23BzvJvX2iE5iw양파TV-양천구시설관리공단2021-03-01양천구의 핫한 기관이 있다던데~? 어디어디? 양천구 대표 지방공기업 양천구시설관리공단이라고?(식상함..) 휴... 딱딱한 공기업의 이미지를 벗어던지려고 안간힘을 쓰는 공간 딱딱한 일도 많지만; 물렁물렁한 인간적인 일도 많은 양천구시설관리공단 여기 아니면 그런 이야기를 들을 수 없는~~ 내용을 풀어갑니다~ 어디서? 양파TV에서! 여기여기! Here! 언제? Right now ! Start!2019-07-16182105049210290274475355386467500.340.070.150.340.070.15
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