Overview

Dataset statistics

Number of variables16
Number of observations513
Missing cells133
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.8 KiB
Average record size in memory139.3 B

Variable types

Numeric10
Categorical5
Text1

Dataset

Description해외방송시장조사 보고서 중 OTT관련 이용행태 및 만족도 등에 대한 데이터 중 해외국가별(미국, 호주, 말레이시아, 영국, 터키, 러시아 등 15개국) 연령, 소득, 성별에 따른 OTT서비스 시청시간에 대한 통계데이터임
URLhttps://www.data.go.kr/data/15102261/fileData.do

Alerts

시청콘텐츠 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
조사연도 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
국가 is highly overall correlated with 조사연도High correlation
주말구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 30분미만(비율) and 4 other fieldsHigh correlation
30분미만(비율) is highly overall correlated with 연번 and 1 other fieldsHigh correlation
30분이상-1시간미만(비율) is highly overall correlated with 1시간이상-2시간미만(비율) and 1 other fieldsHigh correlation
1시간이상-2시간미만(비율) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
5시간이상(비율) is highly overall correlated with 평균(분)High correlation
평균(분) is highly overall correlated with 30분미만(비율) and 2 other fieldsHigh correlation
평균(분) has 133 (25.9%) missing valuesMissing
연번 has unique valuesUnique
30분미만(비율) has 12 (2.3%) zerosZeros
30분이상-1시간미만(비율) has 99 (19.3%) zerosZeros
2시간이상-3시간미만(비율) has 6 (1.2%) zerosZeros
3시간이상-4시간미만(비율) has 13 (2.5%) zerosZeros
4시간이상-5시간미만(비율) has 51 (9.9%) zerosZeros
5시간이상(비율) has 56 (10.9%) zerosZeros

Reproduction

Analysis started2023-12-12 12:26:35.576018
Analysis finished2023-12-12 12:26:49.981555
Duration14.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct513
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257
Minimum1
Maximum513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:50.079631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.6
Q1129
median257
Q3385
95-th percentile487.4
Maximum513
Range512
Interquartile range (IQR)256

Descriptive statistics

Standard deviation148.23461
Coefficient of variation (CV)0.57678837
Kurtosis-1.2
Mean257
Median Absolute Deviation (MAD)128
Skewness0
Sum131841
Variance21973.5
MonotonicityStrictly increasing
2023-12-12T21:26:50.265213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
386 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
Other values (503) 503
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%
505 1
0.2%
504 1
0.2%

조사연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2020
380 
2019
103 
2018
 
30

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2020 380
74.1%
2019 103
 
20.1%
2018 30
 
5.8%

Length

2023-12-12T21:26:50.760408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:50.872723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 380
74.1%
2019 103
 
20.1%
2018 30
 
5.8%

국가
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영국
76 
호주
76 
러시아
76 
브라질
76 
UAE
76 
Other values (10)
133 

Length

Max length5
Median length3
Mean length2.619883
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영국 76
14.8%
호주 76
14.8%
러시아 76
14.8%
브라질 76
14.8%
UAE 76
14.8%
미국 31
6.0%
인도 18
 
3.5%
터키 18
 
3.5%
캐나다 18
 
3.5%
헝가리 18
 
3.5%
Other values (5) 30
 
5.8%

Length

2023-12-12T21:26:51.010177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영국 76
14.8%
호주 76
14.8%
러시아 76
14.8%
브라질 76
14.8%
uae 76
14.8%
미국 31
6.0%
인도 18
 
3.5%
터키 18
 
3.5%
캐나다 18
 
3.5%
헝가리 18
 
3.5%
Other values (5) 30
 
5.8%

분류
Categorical

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
직업별
159 
연령별
155 
소득별
53 
학력별
51 
성별
50 
Other values (4)
45 

Length

Max length5
Median length3
Mean length2.9493177
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직업별 159
31.0%
연령별 155
30.2%
소득별 53
 
10.3%
학력별 51
 
9.9%
성별 50
 
9.7%
국가별 24
 
4.7%
고객가치별 12
 
2.3%
인종별 6
 
1.2%
지역별 3
 
0.6%

Length

2023-12-12T21:26:51.157354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:51.320692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직업별 159
31.0%
연령별 155
30.2%
소득별 53
 
10.3%
학력별 51
 
9.9%
성별 50
 
9.7%
국가별 24
 
4.7%
고객가치별 12
 
2.3%
인종별 6
 
1.2%
지역별 3
 
0.6%

구분
Text

Distinct54
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T21:26:51.541909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length4.2066277
Min length2

Characters and Unicode

Total characters2158
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 (%)5.7%

Sample

1st row전체
2nd row10대
3rd row20대
4th row30대
5th row40대
ValueCountFrequency (%)
이상 80
 
11.9%
이하 45
 
6.7%
평균 40
 
5.9%
10대 30
 
4.5%
30대 30
 
4.5%
40대 30
 
4.5%
50대 30
 
4.5%
20대 30
 
4.5%
전체 29
 
4.3%
대졸 25
 
3.7%
Other values (45) 304
45.2%
2023-12-12T21:26:51.928611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 206
 
9.5%
176
 
8.2%
160
 
7.4%
132
 
6.1%
126
 
5.8%
81
 
3.8%
55
 
2.5%
54
 
2.5%
50
 
2.3%
50
 
2.3%
Other values (73) 1068
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1558
72.2%
Decimal Number 372
 
17.2%
Space Separator 160
 
7.4%
Other Punctuation 55
 
2.5%
Currency Symbol 8
 
0.4%
Math Symbol 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
176
 
11.3%
132
 
8.5%
126
 
8.1%
81
 
5.2%
55
 
3.5%
54
 
3.5%
50
 
3.2%
50
 
3.2%
45
 
2.9%
43
 
2.8%
Other values (57) 746
47.9%
Decimal Number
ValueCountFrequency (%)
0 206
55.4%
5 36
 
9.7%
1 32
 
8.6%
4 32
 
8.6%
3 32
 
8.6%
2 30
 
8.1%
8 2
 
0.5%
7 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 30
54.5%
, 16
29.1%
· 9
 
16.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1558
72.2%
Common 598
 
27.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
176
 
11.3%
132
 
8.5%
126
 
8.1%
81
 
5.2%
55
 
3.5%
54
 
3.5%
50
 
3.2%
50
 
3.2%
45
 
2.9%
43
 
2.8%
Other values (57) 746
47.9%
Common
ValueCountFrequency (%)
0 206
34.4%
160
26.8%
5 36
 
6.0%
1 32
 
5.4%
4 32
 
5.4%
3 32
 
5.4%
/ 30
 
5.0%
2 30
 
5.0%
, 16
 
2.7%
· 9
 
1.5%
Other values (4) 15
 
2.5%
Latin
ValueCountFrequency (%)
L 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1558
72.2%
ASCII 591
 
27.4%
None 9
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 206
34.9%
160
27.1%
5 36
 
6.1%
1 32
 
5.4%
4 32
 
5.4%
3 32
 
5.4%
/ 30
 
5.1%
2 30
 
5.1%
, 16
 
2.7%
$ 8
 
1.4%
Other values (5) 9
 
1.5%
Hangul
ValueCountFrequency (%)
176
 
11.3%
132
 
8.5%
126
 
8.1%
81
 
5.2%
55
 
3.5%
54
 
3.5%
50
 
3.2%
50
 
3.2%
45
 
2.9%
43
 
2.8%
Other values (57) 746
47.9%
None
ValueCountFrequency (%)
· 9
100.0%

사례수(명)
Real number (ℝ)

Distinct144
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.56335
Minimum2
Maximum439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:52.129136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q139
median71
Q3161
95-th percentile269.2
Maximum439
Range437
Interquartile range (IQR)122

Descriptive statistics

Standard deviation83.089186
Coefficient of variation (CV)0.81810204
Kurtosis1.78141
Mean101.56335
Median Absolute Deviation (MAD)42
Skewness1.3868518
Sum52102
Variance6903.8129
MonotonicityNot monotonic
2023-12-12T21:26:52.302048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 12
 
2.3%
45 11
 
2.1%
48 10
 
1.9%
64 10
 
1.9%
122 10
 
1.9%
185 9
 
1.8%
34 9
 
1.8%
15 9
 
1.8%
75 8
 
1.6%
103 8
 
1.6%
Other values (134) 417
81.3%
ValueCountFrequency (%)
2 1
 
0.2%
4 1
 
0.2%
10 4
0.8%
11 4
0.8%
12 4
0.8%
14 5
1.0%
15 9
1.8%
16 7
1.4%
18 4
0.8%
19 6
1.2%
ValueCountFrequency (%)
439 1
 
0.2%
373 3
0.6%
368 4
0.8%
367 4
0.8%
355 4
0.8%
319 1
 
0.2%
301 4
0.8%
287 1
 
0.2%
274 4
0.8%
266 1
 
0.2%

30분미만(비율)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct266
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.958674
Minimum0
Maximum82.8
Zeros12
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:52.487563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q18.4
median16.9
Q325.8
95-th percentile43.74
Maximum82.8
Range82.8
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation13.27757
Coefficient of variation (CV)0.70034276
Kurtosis1.4466063
Mean18.958674
Median Absolute Deviation (MAD)8.6
Skewness1.0245686
Sum9725.8
Variance176.29387
MonotonicityNot monotonic
2023-12-12T21:26:52.666529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 12
 
2.3%
0.0 12
 
2.3%
12.0 10
 
1.9%
21.4 7
 
1.4%
12.5 7
 
1.4%
8.0 6
 
1.2%
22.2 6
 
1.2%
18.8 6
 
1.2%
8.3 6
 
1.2%
33.3 5
 
1.0%
Other values (256) 436
85.0%
ValueCountFrequency (%)
0.0 12
2.3%
0.5 1
 
0.2%
1.2 2
 
0.4%
1.3 2
 
0.4%
1.4 3
 
0.6%
1.5 2
 
0.4%
1.6 1
 
0.2%
1.7 4
 
0.8%
1.9 1
 
0.2%
2.0 1
 
0.2%
ValueCountFrequency (%)
82.8 1
0.2%
72.4 1
0.2%
70.0 1
0.2%
58.3 1
0.2%
57.9 1
0.2%
55.6 1
0.2%
54.5 2
0.4%
54.2 1
0.2%
53.1 1
0.2%
52.6 1
0.2%

30분이상-1시간미만(비율)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct167
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1869396
Minimum0
Maximum37.7
Zeros99
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:52.835112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.4
median3.6
Q39.6
95-th percentile25
Maximum37.7
Range37.7
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation8.357954
Coefficient of variation (CV)1.1629365
Kurtosis0.86535665
Mean7.1869396
Median Absolute Deviation (MAD)3.6
Skewness1.3645122
Sum3686.9
Variance69.855395
MonotonicityNot monotonic
2023-12-12T21:26:52.996272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 99
 
19.3%
2.9 13
 
2.5%
1.5 12
 
2.3%
1.7 10
 
1.9%
2.0 9
 
1.8%
1.6 9
 
1.8%
2.2 9
 
1.8%
2.4 7
 
1.4%
1.2 7
 
1.4%
2.7 7
 
1.4%
Other values (157) 331
64.5%
ValueCountFrequency (%)
0.0 99
19.3%
0.5 3
 
0.6%
0.6 3
 
0.6%
0.7 2
 
0.4%
0.8 4
 
0.8%
0.9 2
 
0.4%
1.1 6
 
1.2%
1.2 7
 
1.4%
1.3 2
 
0.4%
1.4 2
 
0.4%
ValueCountFrequency (%)
37.7 1
0.2%
33.8 1
0.2%
33.3 2
0.4%
32.8 1
0.2%
32.3 1
0.2%
30.8 1
0.2%
30.1 1
0.2%
30.0 1
0.2%
28.9 2
0.4%
28.2 1
0.2%

1시간이상-2시간미만(비율)
Real number (ℝ)

HIGH CORRELATION 

Distinct245
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.539181
Minimum0
Maximum71.4
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:53.193657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.7
Q113.7
median18.8
Q325.8
95-th percentile38.14
Maximum71.4
Range71.4
Interquartile range (IQR)12.1

Descriptive statistics

Standard deviation9.8339716
Coefficient of variation (CV)0.47879083
Kurtosis1.3260843
Mean20.539181
Median Absolute Deviation (MAD)5.6
Skewness0.86408083
Sum10536.6
Variance96.706997
MonotonicityNot monotonic
2023-12-12T21:26:53.393066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.3 10
 
1.9%
15.2 9
 
1.8%
16.7 8
 
1.6%
18.2 7
 
1.4%
25.0 7
 
1.4%
20.0 6
 
1.2%
14.3 6
 
1.2%
13.5 6
 
1.2%
18.4 6
 
1.2%
13.8 5
 
1.0%
Other values (235) 443
86.4%
ValueCountFrequency (%)
0.0 5
1.0%
3.2 1
 
0.2%
3.4 1
 
0.2%
3.7 1
 
0.2%
4.0 1
 
0.2%
4.2 1
 
0.2%
5.3 2
 
0.4%
5.6 1
 
0.2%
6.1 1
 
0.2%
6.3 2
 
0.4%
ValueCountFrequency (%)
71.4 1
0.2%
53.3 1
0.2%
53.1 1
0.2%
50.0 2
0.4%
46.7 1
0.2%
46.3 1
0.2%
45.2 1
0.2%
43.8 2
0.4%
43.5 1
0.2%
42.1 1
0.2%

2시간이상-3시간미만(비율)
Real number (ℝ)

ZEROS 

Distinct222
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.098441
Minimum0
Maximum50
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:53.620830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.02
Q116.6
median21.3
Q325.3
95-th percentile33.3
Maximum50
Range50
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation7.4229373
Coefficient of variation (CV)0.35182398
Kurtosis0.71552854
Mean21.098441
Median Absolute Deviation (MAD)4.6
Skewness0.040406122
Sum10823.5
Variance55.099998
MonotonicityNot monotonic
2023-12-12T21:26:53.796440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.0 12
 
2.3%
16.7 10
 
1.9%
18.2 9
 
1.8%
20.0 8
 
1.6%
24.6 8
 
1.6%
23.5 6
 
1.2%
0.0 6
 
1.2%
14.3 6
 
1.2%
21.3 6
 
1.2%
26.1 6
 
1.2%
Other values (212) 436
85.0%
ValueCountFrequency (%)
0.0 6
1.2%
3.0 1
 
0.2%
3.4 1
 
0.2%
4.2 2
 
0.4%
4.5 2
 
0.4%
6.0 1
 
0.2%
6.3 1
 
0.2%
6.5 1
 
0.2%
6.9 1
 
0.2%
7.6 1
 
0.2%
ValueCountFrequency (%)
50.0 1
0.2%
45.5 1
0.2%
40.4 1
0.2%
40.0 2
0.4%
39.7 1
0.2%
38.7 1
0.2%
38.5 1
0.2%
37.8 1
0.2%
37.3 1
0.2%
36.9 1
0.2%

3시간이상-4시간미만(비율)
Real number (ℝ)

ZEROS 

Distinct205
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.746004
Minimum0
Maximum56
Zeros13
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:53.954410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.32
Q18.7
median12.2
Q317.2
95-th percentile29.82
Maximum56
Range56
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation8.2258779
Coefficient of variation (CV)0.59841958
Kurtosis3.8952208
Mean13.746004
Median Absolute Deviation (MAD)4.2
Skewness1.5553407
Sum7051.7
Variance67.665067
MonotonicityNot monotonic
2023-12-12T21:26:54.157400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
2.5%
9.1 11
 
2.1%
10.0 10
 
1.9%
16.7 9
 
1.8%
10.5 8
 
1.6%
11.1 7
 
1.4%
12.5 7
 
1.4%
6.7 7
 
1.4%
8.3 6
 
1.2%
14.3 6
 
1.2%
Other values (195) 429
83.6%
ValueCountFrequency (%)
0.0 13
2.5%
1.7 2
 
0.4%
1.8 1
 
0.2%
2.0 1
 
0.2%
2.2 1
 
0.2%
2.4 1
 
0.2%
2.6 1
 
0.2%
2.9 2
 
0.4%
3.1 2
 
0.4%
3.2 2
 
0.4%
ValueCountFrequency (%)
56.0 1
0.2%
48.4 1
0.2%
46.2 1
0.2%
44.9 1
0.2%
44.3 1
0.2%
43.8 2
0.4%
41.9 1
0.2%
40.2 1
0.2%
40.0 1
0.2%
39.9 1
0.2%

4시간이상-5시간미만(비율)
Real number (ℝ)

ZEROS 

Distinct155
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9730994
Minimum0
Maximum48.1
Zeros51
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:54.330151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.4
median7.1
Q311
95-th percentile17.14
Maximum48.1
Range48.1
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation5.706183
Coefficient of variation (CV)0.7156794
Kurtosis7.7422841
Mean7.9730994
Median Absolute Deviation (MAD)3.2
Skewness1.6482817
Sum4090.2
Variance32.560525
MonotonicityNot monotonic
2023-12-12T21:26:54.525265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 51
 
9.9%
6.7 12
 
2.3%
10.0 10
 
1.9%
7.1 9
 
1.8%
8.3 9
 
1.8%
5.6 8
 
1.6%
4.3 8
 
1.6%
9.1 8
 
1.6%
6.3 8
 
1.6%
5.3 7
 
1.4%
Other values (145) 383
74.7%
ValueCountFrequency (%)
0.0 51
9.9%
1.0 1
 
0.2%
1.2 2
 
0.4%
1.3 1
 
0.2%
1.4 2
 
0.4%
1.6 5
 
1.0%
1.7 1
 
0.2%
1.8 2
 
0.4%
1.9 3
 
0.6%
2.1 2
 
0.4%
ValueCountFrequency (%)
48.1 1
0.2%
45.1 1
0.2%
28.0 1
0.2%
26.7 1
0.2%
26.5 1
0.2%
25.3 1
0.2%
22.6 1
0.2%
21.6 1
0.2%
21.1 2
0.4%
20.6 1
0.2%

5시간이상(비율)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct199
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.595712
Minimum0
Maximum281.2
Zeros56
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:54.735606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.6
median8.1
Q313.9
95-th percentile30.94
Maximum281.2
Range281.2
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation19.522091
Coefficient of variation (CV)1.6835613
Kurtosis139.19808
Mean11.595712
Median Absolute Deviation (MAD)4.5
Skewness10.458772
Sum5948.6
Variance381.11205
MonotonicityNot monotonic
2023-12-12T21:26:54.945361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
10.9%
14.3 10
 
1.9%
5.9 10
 
1.9%
6.7 8
 
1.6%
20.0 8
 
1.6%
6.2 7
 
1.4%
8.0 7
 
1.4%
5.8 6
 
1.2%
10.7 6
 
1.2%
7.8 6
 
1.2%
Other values (189) 389
75.8%
ValueCountFrequency (%)
0.0 56
10.9%
0.8 1
 
0.2%
0.9 1
 
0.2%
1.2 1
 
0.2%
1.3 1
 
0.2%
1.4 1
 
0.2%
1.5 1
 
0.2%
1.6 2
 
0.4%
1.8 1
 
0.2%
1.9 3
 
0.6%
ValueCountFrequency (%)
281.2 1
0.2%
279.2 1
0.2%
62.0 1
0.2%
60.0 1
0.2%
54.9 1
0.2%
52.7 1
0.2%
50.3 1
0.2%
49.8 1
0.2%
47.5 1
0.2%
47.4 2
0.4%

평균(분)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct323
Distinct (%)85.0%
Missing133
Missing (%)25.9%
Infinite0
Infinite (%)0.0%
Mean136.79263
Minimum36.4
Maximum362.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T21:26:55.141332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.4
5-th percentile83.48
Q1112.6
median129.9
Q3147.575
95-th percentile245.095
Maximum362.7
Range326.3
Interquartile range (IQR)34.975

Descriptive statistics

Standard deviation46.102084
Coefficient of variation (CV)0.33702169
Kurtosis4.6612554
Mean136.79263
Median Absolute Deviation (MAD)17.6
Skewness1.8347061
Sum51981.2
Variance2125.4021
MonotonicityNot monotonic
2023-12-12T21:26:55.347344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147.3 3
 
0.6%
138.0 3
 
0.6%
136.7 3
 
0.6%
160.0 3
 
0.6%
120.0 3
 
0.6%
134.9 3
 
0.6%
97.0 2
 
0.4%
124.6 2
 
0.4%
123.2 2
 
0.4%
116.3 2
 
0.4%
Other values (313) 354
69.0%
(Missing) 133
 
25.9%
ValueCountFrequency (%)
36.4 1
0.2%
40.5 1
0.2%
55.5 1
0.2%
59.2 1
0.2%
63.3 1
0.2%
63.9 1
0.2%
64.1 1
0.2%
65.0 2
0.4%
66.5 1
0.2%
71.5 1
0.2%
ValueCountFrequency (%)
362.7 1
0.2%
307.5 1
0.2%
306.0 1
0.2%
302.1 1
0.2%
293.4 1
0.2%
292.0 1
0.2%
289.4 1
0.2%
287.7 1
0.2%
286.5 1
0.2%
283.9 1
0.2%

시청콘텐츠
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
방송프로그램
190 
동영상콘텐츠
190 
<NA>
133 

Length

Max length6
Median length6
Mean length5.4814815
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방송프로그램 190
37.0%
동영상콘텐츠 190
37.0%
<NA> 133
25.9%

Length

2023-12-12T21:26:55.574610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:55.725101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방송프로그램 190
37.0%
동영상콘텐츠 190
37.0%
na 133
25.9%

주말구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
주중
190 
주말
190 
<NA>
133 

Length

Max length4
Median length2
Mean length2.5185185
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주중 190
37.0%
주말 190
37.0%
<NA> 133
25.9%

Length

2023-12-12T21:26:55.907256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:56.039576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주중 190
37.0%
주말 190
37.0%
na 133
25.9%

Interactions

2023-12-12T21:26:48.119388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:36.679537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.693748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.754585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.043125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.172304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:42.803982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.129961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.494472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.898172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:48.228468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:36.775938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.806442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.881214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.157849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.274725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:42.924256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.266659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.614136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.030164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:48.325964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:36.867782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.924950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.983735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.267952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.395451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.054390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.411462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.740439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.157669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:48.456045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:36.959856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.022578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.075290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.378913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.509195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.168199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.546494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.871076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.286466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:48.590600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.070353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.139925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.194459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.507478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.626651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.314093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.684831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.004056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.409052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:48.712259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.171751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.251642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.326024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.633808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.743900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.455181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.822185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.176985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.544026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:49.012104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.265646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.360488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.454207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.741311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:42.215903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.592613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.951596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.299405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.660723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:49.145137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.357764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.474048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.570048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.861020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:42.401681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.727193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.085282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.443720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.758007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:49.272639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.466679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.567336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.732485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:40.975832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:42.536153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:43.859101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.241687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.586594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:47.869943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:49.389338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:37.572026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:38.658180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:39.925281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:41.079290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:42.675384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:44.008518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:45.382906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:46.743319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:26:48.004058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:26:56.481639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번조사연도국가분류구분사례수(명)30분미만(비율)30분이상-1시간미만(비율)1시간이상-2시간미만(비율)2시간이상-3시간미만(비율)3시간이상-4시간미만(비율)4시간이상-5시간미만(비율)5시간이상(비율)평균(분)시청콘텐츠주말구분
연번1.0000.8710.7990.6060.6780.3130.6320.6890.5400.3580.3830.2920.3080.4070.9960.959
조사연도0.8711.0001.0000.6740.7440.2400.6180.7670.8430.1930.1920.3430.073NaNNaNNaN
국가0.7991.0001.0000.4780.3250.3680.6290.7730.7040.4730.4950.4330.3090.7030.0000.000
분류0.6060.6740.4781.0001.0000.7480.1570.2740.3910.3290.0000.0250.0400.0000.0000.000
구분0.6780.7440.3251.0001.0000.8500.0000.7070.8720.6740.0000.0000.0000.2450.0000.000
사례수(명)0.3130.2400.3680.7480.8501.0000.0000.0660.0870.3070.0000.0000.1310.2120.0000.000
30분미만(비율)0.6320.6180.6290.1570.0000.0001.0000.4890.4080.5590.3270.1670.1690.8070.4710.096
30분이상-1시간미만(비율)0.6890.7670.7730.2740.7070.0660.4891.0000.5550.3160.3130.3260.1190.3350.2280.000
1시간이상-2시간미만(비율)0.5400.8430.7040.3910.8720.0870.4080.5551.0000.4110.3160.3440.2710.3790.0220.173
2시간이상-3시간미만(비율)0.3580.1930.4730.3290.6740.3070.5590.3160.4111.0000.3420.1690.2300.4040.1780.284
3시간이상-4시간미만(비율)0.3830.1920.4950.0000.0000.0000.3270.3130.3160.3421.0000.5150.0000.4460.4360.355
4시간이상-5시간미만(비율)0.2920.3430.4330.0250.0000.0000.1670.3260.3440.1690.5151.0000.7240.3980.1730.148
5시간이상(비율)0.3080.0730.3090.0400.0000.1310.1690.1190.2710.2300.0000.7241.0000.8460.4090.116
평균(분)0.407NaN0.7030.0000.2450.2120.8070.3350.3790.4040.4460.3980.8461.0000.4990.380
시청콘텐츠0.996NaN0.0000.0000.0000.0000.4710.2280.0220.1780.4360.1730.4090.4991.0000.000
주말구분0.959NaN0.0000.0000.0000.0000.0960.0000.1730.2840.3550.1480.1160.3800.0001.000
2023-12-12T21:26:56.637943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시청콘텐츠조사연도국가주말구분분류
시청콘텐츠1.0001.0000.0000.0000.000
조사연도1.0001.0000.9881.0000.383
국가0.0000.9881.0000.0000.215
주말구분0.0001.0000.0001.0000.000
분류0.0000.3830.2150.0001.000
2023-12-12T21:26:56.744638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사례수(명)30분미만(비율)30분이상-1시간미만(비율)1시간이상-2시간미만(비율)2시간이상-3시간미만(비율)3시간이상-4시간미만(비율)4시간이상-5시간미만(비율)5시간이상(비율)평균(분)조사연도국가분류시청콘텐츠주말구분
연번1.0000.0000.616-0.469-0.523-0.1340.1070.3150.163-0.2930.7970.4460.3290.9340.816
사례수(명)0.0001.000-0.0500.020-0.0460.1270.1160.1820.1330.1180.1460.1450.4640.0000.000
30분미만(비율)0.616-0.0501.000-0.351-0.382-0.271-0.272-0.0200.202-0.7340.4600.2890.0710.3580.072
30분이상-1시간미만(비율)-0.4690.020-0.3511.0000.6190.021-0.312-0.465-0.430-0.3720.6400.4160.1280.2780.000
1시간이상-2시간미만(비율)-0.523-0.046-0.3820.6191.0000.130-0.351-0.491-0.496-0.4400.5540.3760.1340.0220.184
2시간이상-3시간미만(비율)-0.1340.127-0.2710.0210.1301.0000.150-0.083-0.149-0.0020.1050.1960.1550.1760.289
3시간이상-4시간미만(비율)0.1070.116-0.272-0.312-0.3510.1501.0000.3540.0140.4700.1320.2160.0000.3260.277
4시간이상-5시간미만(비율)0.3150.182-0.020-0.465-0.491-0.0830.3541.0000.2270.4770.2450.2100.0120.1840.158
5시간이상(비율)0.1630.1330.202-0.430-0.496-0.1490.0140.2271.0000.5930.0680.1780.0250.2740.077
평균(분)-0.2930.118-0.734-0.372-0.440-0.0020.4700.4770.5931.0001.0000.3640.0000.3800.288
조사연도0.7970.1460.4600.6400.5540.1050.1320.2450.0681.0001.0000.9880.3831.0001.000
국가0.4460.1450.2890.4160.3760.1960.2160.2100.1780.3640.9881.0000.2150.0000.000
분류0.3290.4640.0710.1280.1340.1550.0000.0120.0250.0000.3830.2151.0000.0000.000
시청콘텐츠0.9340.0000.3580.2780.0220.1760.3260.1840.2740.3801.0000.0000.0001.0000.000
주말구분0.8160.0000.0720.0000.1840.2890.2770.1580.0770.2881.0000.0000.0000.0001.000

Missing values

2023-12-12T21:26:49.546302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:26:49.873278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번조사연도국가분류구분사례수(명)30분미만(비율)30분이상-1시간미만(비율)1시간이상-2시간미만(비율)2시간이상-3시간미만(비율)3시간이상-4시간미만(비율)4시간이상-5시간미만(비율)5시간이상(비율)평균(분)시청콘텐츠주말구분
012018말레이시아연령별전체1926.316.729.721.916.74.24.7<NA><NA><NA>
122018말레이시아연령별10대362.822.222.227.811.15.68.3<NA><NA><NA>
232018말레이시아연령별20대4810.410.433.327.114.62.12.1<NA><NA><NA>
342018말레이시아연령별30대454.48.931.122.215.68.98.9<NA><NA><NA>
452018말레이시아연령별40대442.325.029.513.625.02.32.3<NA><NA><NA>
562018말레이시아연령별50대 이상1915.821.131.615.815.80.00.0<NA><NA><NA>
672018베트남연령별전체26614.330.130.815.45.63.00.8<NA><NA><NA>
782018베트남연령별10대3622.222.236.111.15.62.80.0<NA><NA><NA>
892018베트남연령별20대6020.033.323.316.76.70.00.0<NA><NA><NA>
9102018베트남연령별30대7812.824.429.517.96.49.00.0<NA><NA><NA>
연번조사연도국가분류구분사례수(명)30분미만(비율)30분이상-1시간미만(비율)1시간이상-2시간미만(비율)2시간이상-3시간미만(비율)3시간이상-4시간미만(비율)4시간이상-5시간미만(비율)5시간이상(비율)평균(분)시청콘텐츠주말구분
5035042020영국소득별평균 이하16132.33.723.017.45.64.313.7131.6동영상콘텐츠주말
5045052020영국소득별평균 이상11436.87.918.420.21.83.511.4106.9동영상콘텐츠주말
5055062020호주소득별평균 이하11932.84.212.619.39.25.916.0127.2동영상콘텐츠주말
5065072020호주소득별평균 이상8322.94.818.122.915.74.810.8123.2동영상콘텐츠주말
5075082020러시아소득별평균 이하19125.74.716.820.415.78.97.9113.5동영상콘텐츠주말
5085092020러시아소득별평균 이상12214.86.623.820.519.79.05.7121.7동영상콘텐츠주말
5095102020브라질소득별평균 이하17812.91.77.915.744.916.90.0154.0동영상콘텐츠주말
5105112020브라질소득별평균 이상875.71.113.816.137.925.30.0165.3동영상콘텐츠주말
5115122020UAE소득별평균 이하16518.81.215.224.819.411.59.1136.6동영상콘텐츠주말
5125132020UAE소득별평균 이상12215.66.618.026.215.611.56.6126.8동영상콘텐츠주말