Overview

Dataset statistics

Number of variables25
Number of observations198
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.1 KiB
Average record size in memory222.7 B

Variable types

Numeric21
Categorical3
Text1

Dataset

Description해외방송시장조사 보고서 중 OTT관련 이용행태 및 만족도 등에 대한 데이터 중 국가별(영국, 브라질, 헝가리 캐나다 등 9개국), 연령, 소득, 성별,고객가치, 직업 등에 따른 OTT서비스 이용 시 즐겨보는 장르에 대한 통계데이터
URLhttps://www.data.go.kr/data/15102270/fileData.do

Alerts

연번 has unique valuesUnique
드라마(비율) has 8 (4.0%) zerosZeros
버라이어티쇼(비율) has 37 (18.7%) zerosZeros
음악(비율) has 38 (19.2%) zerosZeros
뉴스시사보도(비율) has 14 (7.1%) zerosZeros
교육(비율) has 53 (26.8%) zerosZeros
영화(비율) has 5 (2.5%) zerosZeros
스포츠(비율) has 17 (8.6%) zerosZeros
다큐멘터리(비율) has 25 (12.6%) zerosZeros
애니메이션(비율) has 33 (16.7%) zerosZeros
코미디(비율) has 43 (21.7%) zerosZeros
문화예술(비율) has 147 (74.2%) zerosZeros
퀴즈쇼게임쇼(비율) has 126 (63.6%) zerosZeros
토크쇼(비율) has 71 (35.9%) zerosZeros
키즈(비율) has 64 (32.3%) zerosZeros
리얼리티쇼(비율) has 63 (31.8%) zerosZeros
종교(비율) has 130 (65.7%) zerosZeros
생활(비율) has 176 (88.9%) zerosZeros
시리즈물(비율) has 165 (83.3%) zerosZeros
기타(비율) has 159 (80.3%) zerosZeros

Reproduction

Analysis started2023-12-12 16:56:39.402831
Analysis finished2023-12-12 16:56:39.694584
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5
Minimum1
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:39.775704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.85
Q150.25
median99.5
Q3148.75
95-th percentile188.15
Maximum198
Range197
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation57.301832
Coefficient of variation (CV)0.57589781
Kurtosis-1.2
Mean99.5
Median Absolute Deviation (MAD)49.5
Skewness0
Sum19701
Variance3283.5
MonotonicityStrictly increasing
2023-12-13T01:56:39.929023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
126 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (188) 188
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%

조사연도
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2019
103 
2020
95 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 103
52.0%
2020 95
48.0%

Length

2023-12-13T01:56:40.079297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:40.190136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 103
52.0%
2020 95
48.0%

국가
Categorical

Distinct10
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
미국
31 
영국
19 
호주
19 
러시아
19 
브라질
19 
Other values (5)
91 

Length

Max length3
Median length2
Mean length2.469697
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인도
2nd row터키
3rd row캐나다
4th row헝가리
5th row인도

Common Values

ValueCountFrequency (%)
미국 31
15.7%
영국 19
9.6%
호주 19
9.6%
러시아 19
9.6%
브라질 19
9.6%
UAE 19
9.6%
인도 18
9.1%
터키 18
9.1%
캐나다 18
9.1%
헝가리 18
9.1%

Length

2023-12-13T01:56:40.326560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:40.469208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미국 31
15.7%
영국 19
9.6%
호주 19
9.6%
러시아 19
9.6%
브라질 19
9.6%
uae 19
9.6%
인도 18
9.1%
터키 18
9.1%
캐나다 18
9.1%
헝가리 18
9.1%

분류
Categorical

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
직업별
54 
연령별
50 
소득별
23 
학력별
21 
성별
20 
Other values (4)
30 

Length

Max length5
Median length3
Mean length3.020202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가별
2nd row국가별
3rd row국가별
4th row국가별
5th row성별

Common Values

ValueCountFrequency (%)
직업별 54
27.3%
연령별 50
25.3%
소득별 23
11.6%
학력별 21
 
10.6%
성별 20
 
10.1%
고객가치별 12
 
6.1%
국가별 9
 
4.5%
인종별 6
 
3.0%
지역별 3
 
1.5%

Length

2023-12-13T01:56:40.671408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:40.811904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직업별 54
27.3%
연령별 50
25.3%
소득별 23
11.6%
학력별 21
 
10.6%
성별 20
 
10.1%
고객가치별 12
 
6.1%
국가별 9
 
4.5%
인종별 6
 
3.0%
지역별 3
 
1.5%

구분
Text

Distinct54
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T01:56:41.065780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length4.5606061
Min length2

Characters and Unicode

Total characters903
Distinct characters83
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)14.6%

Sample

1st row전체
2nd row전체
3rd row전체
4th row전체
5th row남성
ValueCountFrequency (%)
이상 30
 
11.4%
이하 15
 
5.7%
남성 10
 
3.8%
고졸 10
 
3.8%
평균 10
 
3.8%
10대 10
 
3.8%
대졸 10
 
3.8%
여성 10
 
3.8%
50대 10
 
3.8%
40대 10
 
3.8%
Other values (45) 138
52.5%
2023-12-13T01:56:41.422607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 106
 
11.7%
65
 
7.2%
대 61
 
6.8%
이 46
 
5.1%
자 42
 
4.7%
상 31
 
3.4%
직 25
 
2.8%
여 22
 
2.4%
성 20
 
2.2%
졸 20
 
2.2%
Other values (73) 465
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
67.9%
Decimal Number 172
 
19.0%
Space Separator 65
 
7.2%
Other Punctuation 40
 
4.4%
Currency Symbol 8
 
0.9%
Math Symbol 3
 
0.3%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 61
 
10.0%
이 46
 
7.5%
자 42
 
6.9%
상 31
 
5.1%
직 25
 
4.1%
여 22
 
3.6%
성 20
 
3.3%
졸 20
 
3.3%
전 19
 
3.1%
무 16
 
2.6%
Other values (57) 311
50.7%
Decimal Number
ValueCountFrequency (%)
0 106
61.6%
5 16
 
9.3%
4 12
 
7.0%
3 12
 
7.0%
1 12
 
7.0%
2 10
 
5.8%
8 2
 
1.2%
7 2
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 16
40.0%
/ 15
37.5%
· 9
22.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
67.9%
Common 288
31.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 61
 
10.0%
이 46
 
7.5%
자 42
 
6.9%
상 31
 
5.1%
직 25
 
4.1%
여 22
 
3.6%
성 20
 
3.3%
졸 20
 
3.3%
전 19
 
3.1%
무 16
 
2.6%
Other values (57) 311
50.7%
Common
ValueCountFrequency (%)
0 106
36.8%
65
22.6%
5 16
 
5.6%
, 16
 
5.6%
/ 15
 
5.2%
4 12
 
4.2%
3 12
 
4.2%
1 12
 
4.2%
2 10
 
3.5%
· 9
 
3.1%
Other values (4) 15
 
5.2%
Latin
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
67.9%
ASCII 281
31.1%
None 9
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 106
37.7%
65
23.1%
5 16
 
5.7%
, 16
 
5.7%
/ 15
 
5.3%
4 12
 
4.3%
3 12
 
4.3%
1 12
 
4.3%
2 10
 
3.6%
$ 8
 
2.8%
Other values (5) 9
 
3.2%
Hangul
ValueCountFrequency (%)
대 61
 
10.0%
이 46
 
7.5%
자 42
 
6.9%
상 31
 
5.1%
직 25
 
4.1%
여 22
 
3.6%
성 20
 
3.3%
졸 20
 
3.3%
전 19
 
3.1%
무 16
 
2.6%
Other values (57) 311
50.7%
None
ValueCountFrequency (%)
· 9
100.0%

사례수(명)
Real number (ℝ)

Distinct132
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.36869
Minimum2
Maximum373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:41.555924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile16
Q148
median76.5
Q3146
95-th percentile268.05
Maximum373
Range371
Interquartile range (IQR)98

Descriptive statistics

Standard deviation78.419349
Coefficient of variation (CV)0.75863738
Kurtosis1.6364152
Mean103.36869
Median Absolute Deviation (MAD)42.5
Skewness1.3112109
Sum20467
Variance6149.5943
MonotonicityNot monotonic
2023-12-13T01:56:41.699068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 5
 
2.5%
52 4
 
2.0%
39 4
 
2.0%
64 4
 
2.0%
87 4
 
2.0%
58 3
 
1.5%
48 3
 
1.5%
82 3
 
1.5%
56 3
 
1.5%
84 3
 
1.5%
Other values (122) 162
81.8%
ValueCountFrequency (%)
2 1
0.5%
4 1
0.5%
10 1
0.5%
11 1
0.5%
12 1
0.5%
14 2
1.0%
15 2
1.0%
16 2
1.0%
17 1
0.5%
18 1
0.5%
ValueCountFrequency (%)
373 1
0.5%
368 1
0.5%
367 1
0.5%
355 1
0.5%
322 1
0.5%
321 1
0.5%
301 1
0.5%
293 1
0.5%
281 1
0.5%
274 1
0.5%

드라마(비율)
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.861111
Minimum0
Maximum50
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:41.864134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.685
Q15.9
median12.95
Q319.475
95-th percentile31.315
Maximum50
Range50
Interquartile range (IQR)13.575

Descriptive statistics

Standard deviation9.4581339
Coefficient of variation (CV)0.68235034
Kurtosis1.3807554
Mean13.861111
Median Absolute Deviation (MAD)6.85
Skewness0.99145164
Sum2744.5
Variance89.456297
MonotonicityNot monotonic
2023-12-13T01:56:42.026458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
4.0%
20.0 6
 
3.0%
12.5 5
 
2.5%
15.3 4
 
2.0%
13.0 4
 
2.0%
8.7 3
 
1.5%
22.2 3
 
1.5%
5.1 3
 
1.5%
3.6 3
 
1.5%
3.7 3
 
1.5%
Other values (126) 156
78.8%
ValueCountFrequency (%)
0.0 8
4.0%
1.6 2
 
1.0%
1.7 1
 
0.5%
1.8 1
 
0.5%
2.0 1
 
0.5%
2.4 1
 
0.5%
2.8 1
 
0.5%
2.9 2
 
1.0%
3.0 1
 
0.5%
3.2 1
 
0.5%
ValueCountFrequency (%)
50.0 2
1.0%
40.4 1
0.5%
36.8 1
0.5%
36.0 1
0.5%
35.9 1
0.5%
35.7 2
1.0%
33.3 1
0.5%
31.4 1
0.5%
31.3 1
0.5%
30.8 1
0.5%

버라이어티쇼(비율)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7676768
Minimum0
Maximum25
Zeros37
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:42.246017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.125
median3.1
Q36.075
95-th percentile18.115
Maximum25
Range25
Interquartile range (IQR)4.95

Descriptive statistics

Standard deviation5.4246725
Coefficient of variation (CV)1.1378021
Kurtosis2.2562014
Mean4.7676768
Median Absolute Deviation (MAD)2.2
Skewness1.675633
Sum944
Variance29.427072
MonotonicityNot monotonic
2023-12-13T01:56:42.428906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 37
 
18.7%
3.1 6
 
3.0%
3.4 5
 
2.5%
2.2 5
 
2.5%
2.5 4
 
2.0%
3.7 4
 
2.0%
1.9 4
 
2.0%
1.7 4
 
2.0%
3.2 4
 
2.0%
4.0 4
 
2.0%
Other values (77) 121
61.1%
ValueCountFrequency (%)
0.0 37
18.7%
0.5 1
 
0.5%
0.6 1
 
0.5%
0.7 1
 
0.5%
0.8 2
 
1.0%
0.9 2
 
1.0%
1.0 3
 
1.5%
1.1 3
 
1.5%
1.2 3
 
1.5%
1.3 1
 
0.5%
ValueCountFrequency (%)
25.0 1
0.5%
22.9 1
0.5%
20.8 1
0.5%
20.5 2
1.0%
20.3 1
0.5%
18.6 2
1.0%
18.3 1
0.5%
18.2 1
0.5%
18.1 1
0.5%
17.9 1
0.5%

음악(비율)
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1343434
Minimum0
Maximum21.7
Zeros38
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:42.876974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.9
median4.4
Q37.25
95-th percentile13.33
Maximum21.7
Range21.7
Interquartile range (IQR)5.35

Descriptive statistics

Standard deviation4.389088
Coefficient of variation (CV)0.85484894
Kurtosis1.8507327
Mean5.1343434
Median Absolute Deviation (MAD)2.7
Skewness1.1806966
Sum1016.6
Variance19.264094
MonotonicityNot monotonic
2023-12-13T01:56:43.021602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
 
19.2%
4.2 8
 
4.0%
4.7 5
 
2.5%
4.4 4
 
2.0%
5.9 4
 
2.0%
6.5 4
 
2.0%
2.9 3
 
1.5%
1.9 3
 
1.5%
3.4 3
 
1.5%
10.2 3
 
1.5%
Other values (76) 123
62.1%
ValueCountFrequency (%)
0.0 38
19.2%
1.2 1
 
0.5%
1.3 1
 
0.5%
1.4 2
 
1.0%
1.5 2
 
1.0%
1.6 3
 
1.5%
1.7 1
 
0.5%
1.8 1
 
0.5%
1.9 3
 
1.5%
2.1 1
 
0.5%
ValueCountFrequency (%)
21.7 1
0.5%
21.4 1
0.5%
19.4 1
0.5%
19.3 1
0.5%
17.2 1
0.5%
16.0 1
0.5%
14.7 1
0.5%
14.0 1
0.5%
13.8 1
0.5%
13.5 1
0.5%

뉴스시사보도(비율)
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1813131
Minimum0
Maximum50
Zeros14
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:43.164930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.7
median6.3
Q39.1
95-th percentile18.02
Maximum50
Range50
Interquartile range (IQR)5.4

Descriptive statistics

Standard deviation5.6819158
Coefficient of variation (CV)0.79120847
Kurtosis16.449642
Mean7.1813131
Median Absolute Deviation (MAD)2.7
Skewness2.8645925
Sum1421.9
Variance32.284167
MonotonicityNot monotonic
2023-12-13T01:56:43.297478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
7.1%
6.3 6
 
3.0%
2.9 5
 
2.5%
7.0 4
 
2.0%
5.3 4
 
2.0%
5.5 4
 
2.0%
3.1 4
 
2.0%
6.7 4
 
2.0%
7.6 4
 
2.0%
4.1 3
 
1.5%
Other values (91) 146
73.7%
ValueCountFrequency (%)
0.0 14
7.1%
0.8 1
 
0.5%
1.2 1
 
0.5%
1.6 1
 
0.5%
1.7 1
 
0.5%
1.8 1
 
0.5%
1.9 2
 
1.0%
2.0 1
 
0.5%
2.2 3
 
1.5%
2.3 1
 
0.5%
ValueCountFrequency (%)
50.0 1
0.5%
27.3 1
0.5%
24.3 1
0.5%
20.4 1
0.5%
20.2 1
0.5%
19.5 1
0.5%
19.4 1
0.5%
18.8 2
1.0%
18.7 1
0.5%
17.9 1
0.5%

교육(비율)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2969697
Minimum0
Maximum15
Zeros53
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:43.430768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.9
Q33.1
95-th percentile6.715
Maximum15
Range15
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation2.4058286
Coefficient of variation (CV)1.0473924
Kurtosis5.8246146
Mean2.2969697
Median Absolute Deviation (MAD)1.45
Skewness1.9192752
Sum454.8
Variance5.7880111
MonotonicityNot monotonic
2023-12-13T01:56:43.577330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
26.8%
2.9 8
 
4.0%
2.2 7
 
3.5%
1.6 7
 
3.5%
0.7 5
 
2.5%
1.5 5
 
2.5%
3.1 5
 
2.5%
2.6 5
 
2.5%
1.4 5
 
2.5%
2.4 5
 
2.5%
Other values (51) 93
47.0%
ValueCountFrequency (%)
0.0 53
26.8%
0.6 2
 
1.0%
0.7 5
 
2.5%
0.8 1
 
0.5%
0.9 2
 
1.0%
1.0 1
 
0.5%
1.1 4
 
2.0%
1.2 4
 
2.0%
1.3 3
 
1.5%
1.4 5
 
2.5%
ValueCountFrequency (%)
15.0 1
0.5%
13.3 1
0.5%
10.5 1
0.5%
9.6 1
0.5%
8.8 1
0.5%
7.7 1
0.5%
7.3 1
0.5%
7.1 1
0.5%
6.9 1
0.5%
6.8 1
0.5%

영화(비율)
Real number (ℝ)

ZEROS 

Distinct149
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.929293
Minimum0
Maximum57.1
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:43.707718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.655
Q118.675
median26.7
Q334.975
95-th percentile44.31
Maximum57.1
Range57.1
Interquartile range (IQR)16.3

Descriptive statistics

Standard deviation12.248769
Coefficient of variation (CV)0.47239116
Kurtosis-0.28124373
Mean25.929293
Median Absolute Deviation (MAD)8.25
Skewness-0.26678936
Sum5134
Variance150.03234
MonotonicityNot monotonic
2023-12-13T01:56:43.836982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
2.5%
25.0 4
 
2.0%
29.2 4
 
2.0%
20.5 3
 
1.5%
34.5 3
 
1.5%
29.5 3
 
1.5%
23.1 3
 
1.5%
21.4 3
 
1.5%
11.8 2
 
1.0%
35.0 2
 
1.0%
Other values (139) 166
83.8%
ValueCountFrequency (%)
0.0 5
2.5%
1.0 1
 
0.5%
1.3 1
 
0.5%
1.9 1
 
0.5%
2.4 2
 
1.0%
2.7 1
 
0.5%
2.8 1
 
0.5%
3.1 1
 
0.5%
3.3 1
 
0.5%
3.4 1
 
0.5%
ValueCountFrequency (%)
57.1 1
0.5%
51.9 1
0.5%
51.8 1
0.5%
50.0 1
0.5%
48.4 1
0.5%
47.5 1
0.5%
47.1 2
1.0%
46.6 1
0.5%
45.5 1
0.5%
44.1 1
0.5%

스포츠(비율)
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)53.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4045455
Minimum0
Maximum30.8
Zeros17
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:43.970845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.3
median8.45
Q311.775
95-th percentile17.18
Maximum30.8
Range30.8
Interquartile range (IQR)7.475

Descriptive statistics

Standard deviation5.4251276
Coefficient of variation (CV)0.64549923
Kurtosis1.2047605
Mean8.4045455
Median Absolute Deviation (MAD)3.55
Skewness0.66318258
Sum1664.1
Variance29.43201
MonotonicityNot monotonic
2023-12-13T01:56:44.114451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 17
 
8.6%
7.7 5
 
2.5%
9.3 5
 
2.5%
3.6 4
 
2.0%
14.7 4
 
2.0%
11.8 4
 
2.0%
13.3 4
 
2.0%
9.1 3
 
1.5%
10.3 3
 
1.5%
7.5 3
 
1.5%
Other values (96) 146
73.7%
ValueCountFrequency (%)
0.0 17
8.6%
0.5 2
 
1.0%
0.6 2
 
1.0%
0.9 1
 
0.5%
1.2 1
 
0.5%
1.5 1
 
0.5%
2.0 1
 
0.5%
2.2 1
 
0.5%
2.4 2
 
1.0%
2.6 3
 
1.5%
ValueCountFrequency (%)
30.8 1
0.5%
25.0 1
0.5%
24.4 1
0.5%
23.5 1
0.5%
20.0 1
0.5%
19.6 1
0.5%
19.5 1
0.5%
18.8 1
0.5%
18.5 1
0.5%
18.2 1
0.5%

다큐멘터리(비율)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7838384
Minimum0
Maximum30
Zeros25
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:44.260955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.625
median4.3
Q36.925
95-th percentile11.36
Maximum30
Range30
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation4.1033775
Coefficient of variation (CV)0.85775839
Kurtosis8.0932121
Mean4.7838384
Median Absolute Deviation (MAD)2.7
Skewness1.9172311
Sum947.2
Variance16.837707
MonotonicityNot monotonic
2023-12-13T01:56:44.393891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
12.6%
4.3 5
 
2.5%
6.5 5
 
2.5%
7.3 5
 
2.5%
5.5 5
 
2.5%
5.2 4
 
2.0%
6.3 4
 
2.0%
2.6 4
 
2.0%
2.9 4
 
2.0%
5.3 4
 
2.0%
Other values (77) 133
67.2%
ValueCountFrequency (%)
0.0 25
12.6%
0.5 1
 
0.5%
0.6 3
 
1.5%
0.7 2
 
1.0%
0.8 2
 
1.0%
0.9 1
 
0.5%
1.0 2
 
1.0%
1.1 3
 
1.5%
1.2 2
 
1.0%
1.3 3
 
1.5%
ValueCountFrequency (%)
30.0 1
0.5%
23.3 1
0.5%
16.7 1
0.5%
14.7 1
0.5%
13.8 1
0.5%
12.2 1
0.5%
12.0 2
1.0%
11.8 1
0.5%
11.7 1
0.5%
11.3 1
0.5%

애니메이션(비율)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2712121
Minimum0
Maximum25
Zeros33
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:44.534503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2
median2.8
Q35.9
95-th percentile15.4
Maximum25
Range25
Interquartile range (IQR)4.7

Descriptive statistics

Standard deviation4.8450435
Coefficient of variation (CV)1.1343486
Kurtosis5.6328724
Mean4.2712121
Median Absolute Deviation (MAD)2.15
Skewness2.1779645
Sum845.7
Variance23.474446
MonotonicityNot monotonic
2023-12-13T01:56:44.684853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 33
 
16.7%
1.6 8
 
4.0%
1.5 5
 
2.5%
1.9 5
 
2.5%
6.7 5
 
2.5%
7.3 4
 
2.0%
2.4 4
 
2.0%
3.6 4
 
2.0%
2.2 4
 
2.0%
3.8 4
 
2.0%
Other values (70) 122
61.6%
ValueCountFrequency (%)
0.0 33
16.7%
0.5 3
 
1.5%
0.6 2
 
1.0%
0.7 2
 
1.0%
0.8 1
 
0.5%
0.9 1
 
0.5%
1.0 3
 
1.5%
1.1 3
 
1.5%
1.2 3
 
1.5%
1.3 3
 
1.5%
ValueCountFrequency (%)
25.0 2
1.0%
24.5 1
 
0.5%
23.2 1
 
0.5%
21.7 1
 
0.5%
16.7 1
 
0.5%
15.7 1
 
0.5%
15.5 1
 
0.5%
15.4 3
1.5%
14.6 1
 
0.5%
14.1 1
 
0.5%

코미디(비율)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1151515
Minimum0
Maximum33.3
Zeros43
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:44.802411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.35
median9.4
Q313.3
95-th percentile20.545
Maximum33.3
Range33.3
Interquartile range (IQR)10.95

Descriptive statistics

Standard deviation7.1332049
Coefficient of variation (CV)0.7825657
Kurtosis-0.019186659
Mean9.1151515
Median Absolute Deviation (MAD)5.15
Skewness0.48467394
Sum1804.8
Variance50.882612
MonotonicityNot monotonic
2023-12-13T01:56:44.949677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 43
 
21.7%
8.1 5
 
2.5%
14.3 4
 
2.0%
12.6 4
 
2.0%
10.6 3
 
1.5%
10.4 3
 
1.5%
20.0 3
 
1.5%
12.3 3
 
1.5%
11.8 3
 
1.5%
7.1 3
 
1.5%
Other values (94) 124
62.6%
ValueCountFrequency (%)
0.0 43
21.7%
0.6 1
 
0.5%
0.9 1
 
0.5%
1.0 1
 
0.5%
1.3 1
 
0.5%
1.9 1
 
0.5%
2.0 1
 
0.5%
2.3 1
 
0.5%
2.5 1
 
0.5%
2.6 2
 
1.0%
ValueCountFrequency (%)
33.3 1
0.5%
30.4 1
0.5%
27.6 1
0.5%
25.3 1
0.5%
25.0 1
0.5%
23.5 1
0.5%
23.1 1
0.5%
22.2 1
0.5%
22.1 1
0.5%
20.8 1
0.5%

문화예술(비율)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61414141
Minimum0
Maximum6.3
Zeros147
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:45.069950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.5
95-th percentile3.615
Maximum6.3
Range6.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.3073405
Coefficient of variation (CV)2.1287287
Kurtosis5.9663614
Mean0.61414141
Median Absolute Deviation (MAD)0
Skewness2.4640648
Sum121.6
Variance1.7091391
MonotonicityNot monotonic
2023-12-13T01:56:45.207003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 147
74.2%
1.6 4
 
2.0%
0.5 4
 
2.0%
2.2 3
 
1.5%
1.7 3
 
1.5%
1.8 2
 
1.0%
0.6 2
 
1.0%
2.6 2
 
1.0%
0.8 2
 
1.0%
1.5 2
 
1.0%
Other values (23) 27
 
13.6%
ValueCountFrequency (%)
0.0 147
74.2%
0.5 4
 
2.0%
0.6 2
 
1.0%
0.7 2
 
1.0%
0.8 2
 
1.0%
1.1 2
 
1.0%
1.3 1
 
0.5%
1.5 2
 
1.0%
1.6 4
 
2.0%
1.7 3
 
1.5%
ValueCountFrequency (%)
6.3 1
0.5%
6.2 1
0.5%
6.1 1
0.5%
5.7 1
0.5%
4.9 1
0.5%
4.5 1
0.5%
4.0 1
0.5%
3.9 1
0.5%
3.8 1
0.5%
3.7 1
0.5%

퀴즈쇼게임쇼(비율)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72525253
Minimum0
Maximum9.1
Zeros126
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:45.435074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.1
95-th percentile2.915
Maximum9.1
Range9.1
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.3784302
Coefficient of variation (CV)1.900621
Kurtosis13.617703
Mean0.72525253
Median Absolute Deviation (MAD)0
Skewness3.1873212
Sum143.6
Variance1.9000697
MonotonicityNot monotonic
2023-12-13T01:56:45.572921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 126
63.6%
1.1 6
 
3.0%
1.3 5
 
2.5%
0.5 4
 
2.0%
1.7 4
 
2.0%
0.6 4
 
2.0%
2.2 3
 
1.5%
0.8 3
 
1.5%
1.0 3
 
1.5%
1.5 3
 
1.5%
Other values (24) 37
 
18.7%
ValueCountFrequency (%)
0.0 126
63.6%
0.3 1
 
0.5%
0.5 4
 
2.0%
0.6 4
 
2.0%
0.8 3
 
1.5%
0.9 2
 
1.0%
1.0 3
 
1.5%
1.1 6
 
3.0%
1.2 2
 
1.0%
1.3 5
 
2.5%
ValueCountFrequency (%)
9.1 1
0.5%
8.8 1
0.5%
6.3 1
0.5%
5.7 1
0.5%
4.4 1
0.5%
4.2 1
0.5%
3.9 1
0.5%
3.6 1
0.5%
3.1 1
0.5%
3.0 1
0.5%

토크쇼(비율)
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6434343
Minimum0
Maximum12.5
Zeros71
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:45.737187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.25
Q32.3
95-th percentile5.145
Maximum12.5
Range12.5
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.9148186
Coefficient of variation (CV)1.1651324
Kurtosis5.9804791
Mean1.6434343
Median Absolute Deviation (MAD)1.25
Skewness1.9301947
Sum325.4
Variance3.6665303
MonotonicityNot monotonic
2023-12-13T01:56:45.907075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 71
35.9%
1.2 9
 
4.5%
1.6 7
 
3.5%
1.9 7
 
3.5%
2.2 6
 
3.0%
2.3 6
 
3.0%
1.8 5
 
2.5%
3.3 5
 
2.5%
1.1 4
 
2.0%
2.0 4
 
2.0%
Other values (40) 74
37.4%
ValueCountFrequency (%)
0.0 71
35.9%
0.3 1
 
0.5%
0.5 3
 
1.5%
0.6 2
 
1.0%
0.7 3
 
1.5%
0.8 3
 
1.5%
0.9 1
 
0.5%
1.0 2
 
1.0%
1.1 4
 
2.0%
1.2 9
 
4.5%
ValueCountFrequency (%)
12.5 1
0.5%
9.1 1
0.5%
8.0 1
0.5%
6.8 1
0.5%
6.7 2
1.0%
6.3 1
0.5%
5.6 1
0.5%
5.4 2
1.0%
5.1 1
0.5%
4.8 1
0.5%

키즈(비율)
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2560606
Minimum0
Maximum14.6
Zeros64
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:46.052161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33.4
95-th percentile6.93
Maximum14.6
Range14.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.6683402
Coefficient of variation (CV)1.1827431
Kurtosis3.4522002
Mean2.2560606
Median Absolute Deviation (MAD)1.5
Skewness1.674306
Sum446.7
Variance7.1200392
MonotonicityNot monotonic
2023-12-13T01:56:46.209241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 64
32.3%
1.6 7
 
3.5%
1.5 5
 
2.5%
2.9 5
 
2.5%
1.0 5
 
2.5%
1.7 4
 
2.0%
4.2 4
 
2.0%
3.4 4
 
2.0%
5.9 4
 
2.0%
0.5 4
 
2.0%
Other values (52) 92
46.5%
ValueCountFrequency (%)
0.0 64
32.3%
0.4 1
 
0.5%
0.5 4
 
2.0%
0.6 3
 
1.5%
0.7 3
 
1.5%
0.8 3
 
1.5%
0.9 4
 
2.0%
1.0 5
 
2.5%
1.1 3
 
1.5%
1.2 3
 
1.5%
ValueCountFrequency (%)
14.6 1
0.5%
13.3 1
0.5%
11.1 1
0.5%
10.0 1
0.5%
9.3 1
0.5%
9.1 1
0.5%
8.3 1
0.5%
7.9 1
0.5%
7.1 2
1.0%
6.9 2
1.0%

리얼리티쇼(비율)
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2858586
Minimum0
Maximum12.3
Zeros63
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:46.388724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.75
Q35.2
95-th percentile10
Maximum12.3
Range12.3
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation3.1944594
Coefficient of variation (CV)0.97218406
Kurtosis-0.20054773
Mean3.2858586
Median Absolute Deviation (MAD)2.75
Skewness0.76072888
Sum650.6
Variance10.204571
MonotonicityNot monotonic
2023-12-13T01:56:46.586494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 63
31.8%
4.0 5
 
2.5%
4.8 5
 
2.5%
3.9 5
 
2.5%
2.4 5
 
2.5%
2.2 5
 
2.5%
1.6 4
 
2.0%
10.3 4
 
2.0%
4.6 4
 
2.0%
6.7 4
 
2.0%
Other values (58) 94
47.5%
ValueCountFrequency (%)
0.0 63
31.8%
0.3 1
 
0.5%
0.5 2
 
1.0%
0.6 2
 
1.0%
0.9 1
 
0.5%
1.2 2
 
1.0%
1.3 1
 
0.5%
1.5 2
 
1.0%
1.6 4
 
2.0%
1.7 1
 
0.5%
ValueCountFrequency (%)
12.3 2
1.0%
11.8 1
 
0.5%
10.7 2
1.0%
10.3 4
2.0%
10.0 2
1.0%
9.4 1
 
0.5%
9.1 1
 
0.5%
8.4 1
 
0.5%
8.3 2
1.0%
8.2 2
1.0%

종교(비율)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.59646465
Minimum0
Maximum9.1
Zeros130
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:47.062001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.775
95-th percentile2.915
Maximum9.1
Range9.1
Interquartile range (IQR)0.775

Descriptive statistics

Standard deviation1.2111318
Coefficient of variation (CV)2.0305173
Kurtosis15.624333
Mean0.59646465
Median Absolute Deviation (MAD)0
Skewness3.3745091
Sum118.1
Variance1.4668402
MonotonicityNot monotonic
2023-12-13T01:56:47.194109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 130
65.7%
0.5 8
 
4.0%
1.7 6
 
3.0%
1.5 5
 
2.5%
0.7 4
 
2.0%
0.8 3
 
1.5%
1.0 3
 
1.5%
2.2 3
 
1.5%
0.6 3
 
1.5%
1.1 3
 
1.5%
Other values (20) 30
 
15.2%
ValueCountFrequency (%)
0.0 130
65.7%
0.3 2
 
1.0%
0.4 1
 
0.5%
0.5 8
 
4.0%
0.6 3
 
1.5%
0.7 4
 
2.0%
0.8 3
 
1.5%
0.9 2
 
1.0%
1.0 3
 
1.5%
1.1 3
 
1.5%
ValueCountFrequency (%)
9.1 1
0.5%
6.3 1
0.5%
5.6 1
0.5%
4.0 2
1.0%
3.9 2
1.0%
3.1 2
1.0%
3.0 1
0.5%
2.9 1
0.5%
2.7 1
0.5%
2.6 1
0.5%

생활(비율)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11313131
Minimum0
Maximum4.2
Zeros176
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:47.313243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.715
Maximum4.2
Range4.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4328272
Coefficient of variation (CV)3.8258833
Kurtosis45.557535
Mean0.11313131
Median Absolute Deviation (MAD)0
Skewness6.0077559
Sum22.4
Variance0.18733938
MonotonicityNot monotonic
2023-12-13T01:56:47.407530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 176
88.9%
0.6 4
 
2.0%
0.5 3
 
1.5%
0.3 2
 
1.0%
0.7 2
 
1.0%
0.9 2
 
1.0%
0.8 2
 
1.0%
1.0 1
 
0.5%
2.1 1
 
0.5%
1.5 1
 
0.5%
Other values (4) 4
 
2.0%
ValueCountFrequency (%)
0.0 176
88.9%
0.3 2
 
1.0%
0.4 1
 
0.5%
0.5 3
 
1.5%
0.6 4
 
2.0%
0.7 2
 
1.0%
0.8 2
 
1.0%
0.9 2
 
1.0%
1.0 1
 
0.5%
1.5 1
 
0.5%
ValueCountFrequency (%)
4.2 1
 
0.5%
2.2 1
 
0.5%
2.1 1
 
0.5%
1.7 1
 
0.5%
1.5 1
 
0.5%
1.0 1
 
0.5%
0.9 2
1.0%
0.8 2
1.0%
0.7 2
1.0%
0.6 4
2.0%

시리즈물(비율)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37171717
Minimum0
Maximum4.6
Zeros165
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:47.513093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.115
Maximum4.6
Range4.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9871294
Coefficient of variation (CV)2.6555927
Kurtosis6.645768
Mean0.37171717
Median Absolute Deviation (MAD)0
Skewness2.778605
Sum73.6
Variance0.97442445
MonotonicityNot monotonic
2023-12-13T01:56:47.634278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 165
83.3%
0.7 3
 
1.5%
3.1 3
 
1.5%
1.1 3
 
1.5%
1.4 2
 
1.0%
3.7 2
 
1.0%
3.8 2
 
1.0%
0.8 2
 
1.0%
2.7 1
 
0.5%
0.4 1
 
0.5%
Other values (14) 14
 
7.1%
ValueCountFrequency (%)
0.0 165
83.3%
0.4 1
 
0.5%
0.5 1
 
0.5%
0.7 3
 
1.5%
0.8 2
 
1.0%
0.9 1
 
0.5%
1.0 1
 
0.5%
1.1 3
 
1.5%
1.4 2
 
1.0%
1.8 1
 
0.5%
ValueCountFrequency (%)
4.6 1
 
0.5%
4.2 1
 
0.5%
4.0 1
 
0.5%
3.8 2
1.0%
3.7 2
1.0%
3.6 1
 
0.5%
3.4 1
 
0.5%
3.2 1
 
0.5%
3.1 3
1.5%
2.8 1
 
0.5%

기타(비율)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2530303
Minimum0
Maximum3.8
Zeros159
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T01:56:47.744415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.8
Maximum3.8
Range3.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.63642873
Coefficient of variation (CV)2.5152273
Kurtosis10.594811
Mean0.2530303
Median Absolute Deviation (MAD)0
Skewness3.1057486
Sum50.1
Variance0.40504153
MonotonicityNot monotonic
2023-12-13T01:56:47.849133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 159
80.3%
0.8 7
 
3.5%
0.4 3
 
1.5%
0.7 3
 
1.5%
1.5 3
 
1.5%
1.9 3
 
1.5%
0.3 2
 
1.0%
0.5 2
 
1.0%
1.8 2
 
1.0%
0.6 2
 
1.0%
Other values (12) 12
 
6.1%
ValueCountFrequency (%)
0.0 159
80.3%
0.3 2
 
1.0%
0.4 3
 
1.5%
0.5 2
 
1.0%
0.6 2
 
1.0%
0.7 3
 
1.5%
0.8 7
 
3.5%
0.9 1
 
0.5%
1.1 1
 
0.5%
1.2 1
 
0.5%
ValueCountFrequency (%)
3.8 1
 
0.5%
3.6 1
 
0.5%
2.9 1
 
0.5%
2.4 1
 
0.5%
2.1 1
 
0.5%
2.0 1
 
0.5%
1.9 3
1.5%
1.8 2
1.0%
1.7 1
 
0.5%
1.6 1
 
0.5%

Sample

연번조사연도국가분류구분사례수(명)드라마(비율)버라이어티쇼(비율)음악(비율)뉴스시사보도(비율)교육(비율)영화(비율)스포츠(비율)다큐멘터리(비율)애니메이션(비율)코미디(비율)문화예술(비율)퀴즈쇼게임쇼(비율)토크쇼(비율)키즈(비율)리얼리티쇼(비율)종교(비율)생활(비율)시리즈물(비율)기타(비율)
012019인도국가별전체3229.62.59.39.93.427.312.40.91.610.60.00.02.21.28.40.30.00.00.3
122019터키국가별전체3214.43.12.87.81.637.47.57.82.89.00.02.51.25.94.00.60.00.90.6
232019캐나다국가별전체28115.32.53.66.80.723.57.55.72.819.20.00.02.83.25.00.70.00.40.4
342019헝가리국가별전체2235.40.99.02.22.736.87.67.22.714.30.00.01.80.94.00.00.03.11.3
452019인도성별남성1597.53.110.710.13.826.417.00.61.310.10.00.02.51.94.40.00.00.00.6
562019인도성별여성16311.71.88.09.83.128.28.01.21.811.00.00.01.80.612.30.60.00.00.0
672019터키성별남성1281.63.11.66.30.043.812.511.70.810.20.01.61.60.82.30.80.00.80.8
782019터키성별여성1936.23.13.68.82.633.24.15.24.18.30.03.11.09.35.20.50.01.00.5
892019캐나다성별남성13510.42.25.97.40.723.012.66.75.219.30.00.02.21.52.20.70.00.00.0
9102019캐나다성별여성14619.92.71.46.20.724.02.74.80.719.20.00.03.44.87.50.70.00.70.7
연번조사연도국가분류구분사례수(명)드라마(비율)버라이어티쇼(비율)음악(비율)뉴스시사보도(비율)교육(비율)영화(비율)스포츠(비율)다큐멘터리(비율)애니메이션(비율)코미디(비율)문화예술(비율)퀴즈쇼게임쇼(비율)토크쇼(비율)키즈(비율)리얼리티쇼(비율)종교(비율)생활(비율)시리즈물(비율)기타(비율)
1881892020영국소득별평균 이하16136.014.321.76.25.65.01.20.60.62.50.00.60.00.60.60.00.00.00.0
1891902020영국소득별평균 이상11440.416.719.37.04.45.35.30.00.00.00.00.00.00.90.00.00.90.00.0
1901912020호주소득별평균 이하11913.41.75.06.71.715.111.85.98.411.80.81.70.83.45.91.71.70.00.0
1911922020호주소득별평균 이상8322.90.02.47.20.015.79.610.80.014.52.41.23.62.44.80.00.00.00.0
1921932020러시아소득별평균 이하19119.43.74.75.81.625.78.47.33.79.93.71.01.60.51.61.00.00.00.0
1931942020러시아소득별평균 이상12218.05.71.69.82.520.510.73.30.012.33.30.84.13.33.30.00.80.00.0
1941952020브라질소득별평균 이하1782.81.17.36.23.436.511.86.23.96.71.71.71.12.81.72.20.00.00.0
1951962020브라질소득별평균 이상874.60.03.45.70.047.116.18.01.13.40.01.11.13.42.30.00.00.00.0
1961972020UAE소득별평균 이하16510.34.24.26.13.625.59.77.94.210.30.61.84.84.21.21.20.00.00.0
1971982020UAE소득별평균 이상12210.71.64.17.42.529.59.82.51.611.51.60.83.32.58.22.50.00.00.0