Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells15447
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory160.0 B

Variable types

Numeric7
Text6
Categorical2
Boolean1
DateTime2

Dataset

DescriptionKTV 국민방송에서 방송된 문화교양 프로그램 방송 목록으로 제목,프로그램명,방송일,링크주소 등의 데이터를 제공합니다.
Author문화체육관광부 한국정책방송원
URLhttps://www.data.go.kr/data/15050739/fileData.do

Alerts

카테고리아이디 has constant value ""Constant
카테고리명 has constant value ""Constant
콘텐츠아이디 is highly overall correlated with 조회수 and 1 other fieldsHigh correlation
조회수 is highly overall correlated with 콘텐츠아이디High correlation
방송시간(시) is highly overall correlated with 재생시간(분)High correlation
재생시간(분) is highly overall correlated with 방송시간(시)High correlation
전체영상여부 is highly overall correlated with 콘텐츠아이디High correlation
방송시간(시) has 7711 (77.1%) missing valuesMissing
방송시간(분) has 7711 (77.1%) missing valuesMissing
콘텐츠아이디 has unique valuesUnique
링크주소 has unique valuesUnique
팝업링크주소 has unique valuesUnique
방송시간(분) has 399 (4.0%) zerosZeros
재생시간(분) has 145 (1.5%) zerosZeros
재생시간(초) has 411 (4.1%) zerosZeros

Reproduction

Analysis started2024-04-21 01:16:46.932299
Analysis finished2024-04-21 01:16:55.720113
Duration8.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean338118.56
Minimum179546
Maximum698282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:16:55.813782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179546
5-th percentile188380.95
Q1215880
median267275.5
Q3452255.25
95-th percentile635313.25
Maximum698282
Range518736
Interquartile range (IQR)236375.25

Descriptive statistics

Standard deviation144009
Coefficient of variation (CV)0.42591273
Kurtosis-0.44866492
Mean338118.56
Median Absolute Deviation (MAD)67563.5
Skewness0.86966553
Sum3.3811856 × 109
Variance2.0738592 × 1010
MonotonicityNot monotonic
2024-04-21T10:16:55.953832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
371269 1
 
< 0.1%
259994 1
 
< 0.1%
352793 1
 
< 0.1%
654441 1
 
< 0.1%
199054 1
 
< 0.1%
339780 1
 
< 0.1%
275739 1
 
< 0.1%
216068 1
 
< 0.1%
246201 1
 
< 0.1%
456974 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
179546 1
< 0.1%
179549 1
< 0.1%
179561 1
< 0.1%
179564 1
< 0.1%
179565 1
< 0.1%
179567 1
< 0.1%
179671 1
< 0.1%
179751 1
< 0.1%
179752 1
< 0.1%
179754 1
< 0.1%
ValueCountFrequency (%)
698282 1
< 0.1%
698177 1
< 0.1%
698104 1
< 0.1%
698008 1
< 0.1%
698001 1
< 0.1%
697999 1
< 0.1%
697907 1
< 0.1%
697819 1
< 0.1%
697731 1
< 0.1%
697487 1
< 0.1%

제목
Text

Distinct8625
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:16:56.307833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length92
Mean length17.1238
Min length1

Characters and Unicode

Total characters171238
Distinct characters1255
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8167 ?
Unique (%)81.7%

Sample

1st row희망 2011 신년음악회
2nd row군정
3rd row고대 문명의 요람, 터키 동부 3부 - 문명의 향기, 시간이 멈춘 땅
4th row안숙선의소리마당 780회
5th row주제
ValueCountFrequency (%)
1503
 
3.9%
다시보는 1491
 
3.9%
대한늬우스 1456
 
3.8%
안숙선의소리마당 281
 
0.7%
서울말평양말 197
 
0.5%
대한뉴스 189
 
0.5%
1 134
 
0.3%
일시 131
 
0.3%
장소 127
 
0.3%
제작 112
 
0.3%
Other values (16148) 32733
85.3%
2024-04-21T10:16:57.035150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28383
 
16.6%
. 3355
 
2.0%
한 3092
 
1.8%
( 3052
 
1.8%
) 3052
 
1.8%
대 2957
 
1.7%
1 2906
 
1.7%
0 2805
 
1.6%
의 2690
 
1.6%
다 2662
 
1.6%
Other values (1245) 116284
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 107813
63.0%
Space Separator 28383
 
16.6%
Decimal Number 16427
 
9.6%
Other Punctuation 8354
 
4.9%
Open Punctuation 3124
 
1.8%
Close Punctuation 3124
 
1.8%
Dash Punctuation 1378
 
0.8%
Uppercase Letter 934
 
0.5%
Lowercase Letter 912
 
0.5%
Math Symbol 691
 
0.4%
Other values (5) 98
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 3092
 
2.9%
대 2957
 
2.7%
의 2690
 
2.5%
다 2662
 
2.5%
는 2497
 
2.3%
시 2414
 
2.2%
스 2225
 
2.1%
우 2142
 
2.0%
보 2005
 
1.9%
늬 1502
 
1.4%
Other values (1153) 83627
77.6%
Uppercase Letter
ValueCountFrequency (%)
T 109
11.7%
C 101
10.8%
K 94
 
10.1%
P 73
 
7.8%
H 60
 
6.4%
S 59
 
6.3%
V 58
 
6.2%
O 50
 
5.4%
I 41
 
4.4%
B 39
 
4.2%
Other values (16) 250
26.8%
Lowercase Letter
ValueCountFrequency (%)
e 147
16.1%
o 142
15.6%
i 102
11.2%
a 93
10.2%
t 80
8.8%
r 75
8.2%
c 66
7.2%
n 46
 
5.0%
p 33
 
3.6%
s 26
 
2.9%
Other values (12) 102
11.2%
Other Punctuation
ValueCountFrequency (%)
. 3355
40.2%
, 1335
 
16.0%
' 1003
 
12.0%
: 920
 
11.0%
" 825
 
9.9%
! 577
 
6.9%
? 122
 
1.5%
/ 92
 
1.1%
· 88
 
1.1%
& 15
 
0.2%
Other values (3) 22
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 2906
17.7%
0 2805
17.1%
2 2315
14.1%
6 1544
9.4%
7 1369
8.3%
3 1225
7.5%
8 1119
 
6.8%
9 1070
 
6.5%
5 1061
 
6.5%
4 1013
 
6.2%
Math Symbol
ValueCountFrequency (%)
> 228
33.0%
< 227
32.9%
~ 141
20.4%
+ 94
13.6%
≒ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3052
97.7%
[ 69
 
2.2%
「 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 3052
97.7%
] 69
 
2.2%
」 3
 
0.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 52
88.1%
“ 7
 
11.9%
Final Punctuation
ValueCountFrequency (%)
’ 13
65.0%
” 7
35.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
28383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1378
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107541
62.8%
Common 61576
36.0%
Latin 1849
 
1.1%
Han 272
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 3092
 
2.9%
대 2957
 
2.7%
의 2690
 
2.5%
다 2662
 
2.5%
는 2497
 
2.3%
시 2414
 
2.2%
스 2225
 
2.1%
우 2142
 
2.0%
보 2005
 
1.9%
늬 1502
 
1.4%
Other values (1067) 83355
77.5%
Han
ValueCountFrequency (%)
新 41
 
15.1%
美 21
 
7.7%
人 19
 
7.0%
學 18
 
6.6%
像 18
 
6.6%
映 17
 
6.2%
北 13
 
4.8%
前 10
 
3.7%
展 4
 
1.5%
作 4
 
1.5%
Other values (76) 107
39.3%
Latin
ValueCountFrequency (%)
e 147
 
8.0%
o 142
 
7.7%
T 109
 
5.9%
i 102
 
5.5%
C 101
 
5.5%
K 94
 
5.1%
a 93
 
5.0%
t 80
 
4.3%
r 75
 
4.1%
P 73
 
3.9%
Other values (40) 833
45.1%
Common
ValueCountFrequency (%)
28383
46.1%
. 3355
 
5.4%
( 3052
 
5.0%
) 3052
 
5.0%
1 2906
 
4.7%
0 2805
 
4.6%
2 2315
 
3.8%
6 1544
 
2.5%
- 1378
 
2.2%
7 1369
 
2.2%
Other values (32) 11417
18.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 107537
62.8%
ASCII 63238
36.9%
CJK 270
 
0.2%
None 94
 
0.1%
Punctuation 89
 
0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28383
44.9%
. 3355
 
5.3%
( 3052
 
4.8%
) 3052
 
4.8%
1 2906
 
4.6%
0 2805
 
4.4%
2 2315
 
3.7%
6 1544
 
2.4%
- 1378
 
2.2%
7 1369
 
2.2%
Other values (71) 13079
20.7%
Hangul
ValueCountFrequency (%)
한 3092
 
2.9%
대 2957
 
2.7%
의 2690
 
2.5%
다 2662
 
2.5%
는 2497
 
2.3%
시 2414
 
2.2%
스 2225
 
2.1%
우 2142
 
2.0%
보 2005
 
1.9%
늬 1502
 
1.4%
Other values (1064) 83351
77.5%
None
ValueCountFrequency (%)
· 88
93.6%
「 3
 
3.2%
」 3
 
3.2%
Punctuation
ValueCountFrequency (%)
‘ 52
58.4%
’ 13
 
14.6%
… 10
 
11.2%
“ 7
 
7.9%
” 7
 
7.9%
CJK
ValueCountFrequency (%)
新 41
 
15.2%
美 21
 
7.8%
人 19
 
7.0%
學 18
 
6.7%
像 18
 
6.7%
映 17
 
6.3%
北 13
 
4.8%
前 10
 
3.7%
展 4
 
1.5%
作 4
 
1.5%
Other values (74) 105
38.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄹ 2
50.0%
ㄴ 1
25.0%
ㅏ 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
50.0%
女 1
50.0%
Math Operators
ValueCountFrequency (%)
≒ 1
100.0%

프로그램아이디
Text

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:16:57.272064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st rowPG1110961D
2nd rowPG1110609D
3rd rowPG1110872D
4th rowPG1110153D
5th rowPG1110158D
ValueCountFrequency (%)
pg1110358d 1928
19.3%
pg1110153d 690
 
6.9%
pg1110158d 567
 
5.7%
pg1110133d 403
 
4.0%
pg1110118d 372
 
3.7%
pg1110129d 346
 
3.5%
pg1110113d 301
 
3.0%
pg1110116d 207
 
2.1%
pg1110156d 206
 
2.1%
pg1110612d 167
 
1.7%
Other values (214) 4813
48.1%
2024-04-21T10:16:57.604955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 34233
34.2%
0 12455
 
12.5%
P 10000
 
10.0%
G 10000
 
10.0%
D 10000
 
10.0%
3 5201
 
5.2%
5 4729
 
4.7%
8 3996
 
4.0%
2 3053
 
3.1%
6 2319
 
2.3%
Other values (3) 4014
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
70.0%
Uppercase Letter 30000
30.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34233
48.9%
0 12455
 
17.8%
3 5201
 
7.4%
5 4729
 
6.8%
8 3996
 
5.7%
2 3053
 
4.4%
6 2319
 
3.3%
9 1613
 
2.3%
4 1566
 
2.2%
7 835
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
P 10000
33.3%
G 10000
33.3%
D 10000
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
70.0%
Latin 30000
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 34233
48.9%
0 12455
 
17.8%
3 5201
 
7.4%
5 4729
 
6.8%
8 3996
 
5.7%
2 3053
 
4.4%
6 2319
 
3.3%
9 1613
 
2.3%
4 1566
 
2.2%
7 835
 
1.2%
Latin
ValueCountFrequency (%)
P 10000
33.3%
G 10000
33.3%
D 10000
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 34233
34.2%
0 12455
 
12.5%
P 10000
 
10.0%
G 10000
 
10.0%
D 10000
 
10.0%
3 5201
 
5.2%
5 4729
 
4.7%
8 3996
 
4.0%
2 3053
 
3.1%
6 2319
 
2.3%
Other values (3) 4014
 
4.0%

프로그램명
Text

Distinct224
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:16:57.909486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length8.3898
Min length2

Characters and Unicode

Total characters83898
Distinct characters390
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row공연초대석
2nd row출발전국을향하여
3rd row세계테마기행
4th row안숙선의소리마당
5th rowKTV특강
ValueCountFrequency (%)
다시보는 2029
 
12.0%
대한늬우스 1971
 
11.7%
안숙선의소리마당 690
 
4.1%
ktv특강 567
 
3.4%
ch14문화마당 403
 
2.4%
우리가락우리춤 372
 
2.2%
우리말알고씁시다 346
 
2.0%
시청자특강 301
 
1.8%
영상어제와오늘 207
 
1.2%
서울말평양말 206
 
1.2%
Other values (379) 9807
58.0%
2024-04-21T10:16:58.319221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6916
 
8.2%
우 3328
 
4.0%
시 3281
 
3.9%
다 3065
 
3.7%
한 2682
 
3.2%
대 2668
 
3.2%
리 2419
 
2.9%
는 2369
 
2.8%
스 2243
 
2.7%
보 2188
 
2.6%
Other values (380) 52739
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69113
82.4%
Space Separator 6916
 
8.2%
Uppercase Letter 4046
 
4.8%
Decimal Number 2079
 
2.5%
Lowercase Letter 543
 
0.6%
Other Punctuation 443
 
0.5%
Math Symbol 233
 
0.3%
Open Punctuation 182
 
0.2%
Close Punctuation 182
 
0.2%
Dash Punctuation 69
 
0.1%
Other values (2) 92
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 3328
 
4.8%
시 3281
 
4.7%
다 3065
 
4.4%
한 2682
 
3.9%
대 2668
 
3.9%
리 2419
 
3.5%
는 2369
 
3.4%
스 2243
 
3.2%
보 2188
 
3.2%
늬 2037
 
2.9%
Other values (326) 42833
62.0%
Uppercase Letter
ValueCountFrequency (%)
T 890
22.0%
V 887
21.9%
K 882
21.8%
H 521
12.9%
C 431
10.7%
D 115
 
2.8%
U 69
 
1.7%
S 57
 
1.4%
P 53
 
1.3%
O 38
 
0.9%
Other values (7) 103
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 112
20.6%
o 112
20.6%
c 62
11.4%
a 62
11.4%
i 53
9.8%
r 53
9.8%
t 53
9.8%
l 12
 
2.2%
b 9
 
1.7%
u 9
 
1.7%
Other values (2) 6
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 572
27.5%
0 524
25.2%
4 521
25.1%
2 291
14.0%
8 88
 
4.2%
3 38
 
1.8%
5 36
 
1.7%
6 7
 
0.3%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
! 174
39.3%
, 80
18.1%
' 76
17.2%
/ 68
 
15.3%
！ 24
 
5.4%
? 21
 
4.7%
Open Punctuation
ValueCountFrequency (%)
( 177
97.3%
『 5
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 177
97.3%
』 5
 
2.7%
Math Symbol
ValueCountFrequency (%)
+ 145
62.2%
~ 88
37.8%
Space Separator
ValueCountFrequency (%)
6916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 46
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68943
82.2%
Common 10196
 
12.2%
Latin 4589
 
5.5%
Han 170
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 3328
 
4.8%
시 3281
 
4.8%
다 3065
 
4.4%
한 2682
 
3.9%
대 2668
 
3.9%
리 2419
 
3.5%
는 2369
 
3.4%
스 2243
 
3.3%
보 2188
 
3.2%
늬 2037
 
3.0%
Other values (316) 42663
61.9%
Latin
ValueCountFrequency (%)
T 890
19.4%
V 887
19.3%
K 882
19.2%
H 521
11.4%
C 431
9.4%
D 115
 
2.5%
e 112
 
2.4%
o 112
 
2.4%
U 69
 
1.5%
c 62
 
1.4%
Other values (19) 508
11.1%
Common
ValueCountFrequency (%)
6916
67.8%
1 572
 
5.6%
0 524
 
5.1%
4 521
 
5.1%
2 291
 
2.9%
( 177
 
1.7%
) 177
 
1.7%
! 174
 
1.7%
+ 145
 
1.4%
~ 88
 
0.9%
Other values (15) 611
 
6.0%
Han
ValueCountFrequency (%)
美 31
18.2%
通 22
12.9%
人 19
11.2%
像 17
10.0%
映 17
10.0%
江 17
10.0%
學 17
10.0%
談 14
8.2%
情 10
 
5.9%
對 6
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68943
82.2%
ASCII 14659
 
17.5%
CJK 170
 
0.2%
Punctuation 92
 
0.1%
None 34
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6916
47.2%
T 890
 
6.1%
V 887
 
6.1%
K 882
 
6.0%
1 572
 
3.9%
0 524
 
3.6%
H 521
 
3.6%
4 521
 
3.6%
C 431
 
2.9%
2 291
 
2.0%
Other values (39) 2224
 
15.2%
Hangul
ValueCountFrequency (%)
우 3328
 
4.8%
시 3281
 
4.8%
다 3065
 
4.4%
한 2682
 
3.9%
대 2668
 
3.9%
리 2419
 
3.5%
는 2369
 
3.4%
스 2243
 
3.3%
보 2188
 
3.2%
늬 2037
 
3.0%
Other values (316) 42663
61.9%
Punctuation
ValueCountFrequency (%)
’ 46
50.0%
‘ 46
50.0%
CJK
ValueCountFrequency (%)
美 31
18.2%
通 22
12.9%
人 19
11.2%
像 17
10.0%
映 17
10.0%
江 17
10.0%
學 17
10.0%
談 14
8.2%
情 10
 
5.9%
對 6
 
3.5%
None
ValueCountFrequency (%)
！ 24
70.6%
『 5
 
14.7%
』 5
 
14.7%

카테고리아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100110
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100110
2nd row100110
3rd row100110
4th row100110
5th row100110

Common Values

ValueCountFrequency (%)
100110 10000
100.0%

Length

2024-04-21T10:16:58.430590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:16:58.501764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100110 10000
100.0%

카테고리명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
문화교양
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화교양 10000
100.0%

Length

2024-04-21T10:16:58.594491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:16:58.689063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화교양 10000
100.0%

전체영상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
6784 
False
3216 
ValueCountFrequency (%)
True 6784
67.8%
False 3216
32.2%
2024-04-21T10:16:58.751609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

섬네일주소
Text

Distinct4298
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:16:58.908738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length64
Mean length68.2073
Min length64

Characters and Unicode

Total characters682073
Distinct characters66
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

Unique4297 ?
Unique (%)43.0%

Sample

1st rowhttps://www.ktv.go.kr/media/old/program/content_xml/69/371269_1.0_image_1.jpg
2nd rowhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpg
3rd rowhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpg
4th rowhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpg
5th rowhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpg
ValueCountFrequency (%)
https://www.ktv.go.kr/resources/images/common/img_replace_01.jpg 5703
57.0%
https://www.ktv.go.kr/media/contents/image/2023/11/09/e7lmhyhre7.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/19/273119_1.0_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/98/284898_1.2_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/61/278961_1.1_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/11/15/oxo3fpczlr.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/04/30/a9mzqogo91.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/76/280976_1.0_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/03/25/a3muixxwxe.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/63/430663_1.1_image_1.jpg 1
 
< 0.1%
Other values (4288) 4288
42.9%
2024-04-21T10:16:59.237627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 70126
 
10.3%
. 42765
 
6.3%
e 41680
 
6.1%
t 38835
 
5.7%
g 38715
 
5.7%
m 37179
 
5.5%
o 37173
 
5.5%
r 32888
 
4.8%
w 30238
 
4.4%
s 28881
 
4.2%
Other values (56) 283593
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 473734
69.5%
Other Punctuation 122891
 
18.0%
Decimal Number 56466
 
8.3%
Connector Punctuation 22466
 
3.3%
Uppercase Letter 6516
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 41680
 
8.8%
t 38835
 
8.2%
g 38715
 
8.2%
m 37179
 
7.8%
o 37173
 
7.8%
r 32888
 
6.9%
w 30238
 
6.4%
s 28881
 
6.1%
p 28699
 
6.1%
a 23032
 
4.9%
Other values (16) 136414
28.8%
Uppercase Letter
ValueCountFrequency (%)
C 285
 
4.4%
N 275
 
4.2%
M 273
 
4.2%
T 263
 
4.0%
J 262
 
4.0%
U 261
 
4.0%
V 260
 
4.0%
D 259
 
4.0%
F 258
 
4.0%
L 258
 
4.0%
Other values (16) 3862
59.3%
Decimal Number
ValueCountFrequency (%)
1 16667
29.5%
0 12987
23.0%
2 6212
 
11.0%
3 3594
 
6.4%
4 3576
 
6.3%
8 2777
 
4.9%
7 2704
 
4.8%
9 2659
 
4.7%
6 2658
 
4.7%
5 2632
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 70126
57.1%
. 42765
34.8%
: 10000
 
8.1%
Connector Punctuation
ValueCountFrequency (%)
_ 22466
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 480250
70.4%
Common 201823
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 41680
 
8.7%
t 38835
 
8.1%
g 38715
 
8.1%
m 37179
 
7.7%
o 37173
 
7.7%
r 32888
 
6.8%
w 30238
 
6.3%
s 28881
 
6.0%
p 28699
 
6.0%
a 23032
 
4.8%
Other values (42) 142930
29.8%
Common
ValueCountFrequency (%)
/ 70126
34.7%
. 42765
21.2%
_ 22466
 
11.1%
1 16667
 
8.3%
0 12987
 
6.4%
: 10000
 
5.0%
2 6212
 
3.1%
3 3594
 
1.8%
4 3576
 
1.8%
8 2777
 
1.4%
Other values (4) 10653
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 682073
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 70126
 
10.3%
. 42765
 
6.3%
e 41680
 
6.1%
t 38835
 
5.7%
g 38715
 
5.7%
m 37179
 
5.5%
o 37173
 
5.5%
r 32888
 
4.8%
w 30238
 
4.4%
s 28881
 
4.2%
Other values (56) 283593
41.6%

링크주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:16:59.445083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length52
Min length52

Characters and Unicode

Total characters520000
Distinct characters31
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ktv.go.kr/content/view?content_id=371269
2nd rowhttps://www.ktv.go.kr/content/view?content_id=199303
3rd rowhttps://www.ktv.go.kr/content/view?content_id=420837
4th rowhttps://www.ktv.go.kr/content/view?content_id=249989
5th rowhttps://www.ktv.go.kr/content/view?content_id=191563
ValueCountFrequency (%)
https://www.ktv.go.kr/content/view?content_id=371269 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=216068 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=201721 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=454480 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=352793 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=654441 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=199054 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=339780 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=275739 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=259994 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T10:16:59.777827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 70000
 
13.5%
/ 40000
 
7.7%
w 40000
 
7.7%
n 40000
 
7.7%
e 30000
 
5.8%
. 30000
 
5.8%
o 30000
 
5.8%
k 20000
 
3.8%
v 20000
 
3.8%
i 20000
 
3.8%
Other values (21) 180000
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 350000
67.3%
Other Punctuation 90000
 
17.3%
Decimal Number 60000
 
11.5%
Math Symbol 10000
 
1.9%
Connector Punctuation 10000
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70000
20.0%
w 40000
11.4%
n 40000
11.4%
e 30000
8.6%
o 30000
8.6%
k 20000
 
5.7%
v 20000
 
5.7%
i 20000
 
5.7%
c 20000
 
5.7%
d 10000
 
2.9%
Other values (5) 50000
14.3%
Decimal Number
ValueCountFrequency (%)
2 8934
14.9%
1 6552
10.9%
5 6529
10.9%
4 6163
10.3%
6 5918
9.9%
3 5577
9.3%
0 5348
8.9%
9 5329
8.9%
8 5231
8.7%
7 4419
7.4%
Other Punctuation
ValueCountFrequency (%)
/ 40000
44.4%
. 30000
33.3%
? 10000
 
11.1%
: 10000
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 350000
67.3%
Common 170000
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 40000
23.5%
. 30000
17.6%
= 10000
 
5.9%
_ 10000
 
5.9%
? 10000
 
5.9%
: 10000
 
5.9%
2 8934
 
5.3%
1 6552
 
3.9%
5 6529
 
3.8%
4 6163
 
3.6%
Other values (6) 31822
18.7%
Latin
ValueCountFrequency (%)
t 70000
20.0%
w 40000
11.4%
n 40000
11.4%
e 30000
8.6%
o 30000
8.6%
k 20000
 
5.7%
v 20000
 
5.7%
i 20000
 
5.7%
c 20000
 
5.7%
d 10000
 
2.9%
Other values (5) 50000
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 70000
 
13.5%
/ 40000
 
7.7%
w 40000
 
7.7%
n 40000
 
7.7%
e 30000
 
5.8%
. 30000
 
5.8%
o 30000
 
5.8%
k 20000
 
3.8%
v 20000
 
3.8%
i 20000
 
3.8%
Other values (21) 180000
34.6%

팝업링크주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:17:00.018871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length53
Mean length53
Min length53

Characters and Unicode

Total characters530000
Distinct characters32
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ktv.go.kr/content/popup?content_id=371269
2nd rowhttps://www.ktv.go.kr/content/popup?content_id=199303
3rd rowhttps://www.ktv.go.kr/content/popup?content_id=420837
4th rowhttps://www.ktv.go.kr/content/popup?content_id=249989
5th rowhttps://www.ktv.go.kr/content/popup?content_id=191563
ValueCountFrequency (%)
https://www.ktv.go.kr/content/popup?content_id=371269 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=216068 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=201721 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=454480 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=352793 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=654441 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=199054 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=339780 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=275739 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=259994 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T10:17:00.456469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 70000
 
13.2%
p 40000
 
7.5%
/ 40000
 
7.5%
o 40000
 
7.5%
n 40000
 
7.5%
w 30000
 
5.7%
. 30000
 
5.7%
k 20000
 
3.8%
c 20000
 
3.8%
e 20000
 
3.8%
Other values (22) 180000
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 360000
67.9%
Other Punctuation 90000
 
17.0%
Decimal Number 60000
 
11.3%
Math Symbol 10000
 
1.9%
Connector Punctuation 10000
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70000
19.4%
p 40000
11.1%
o 40000
11.1%
n 40000
11.1%
w 30000
8.3%
k 20000
 
5.6%
c 20000
 
5.6%
e 20000
 
5.6%
h 10000
 
2.8%
d 10000
 
2.8%
Other values (6) 60000
16.7%
Decimal Number
ValueCountFrequency (%)
2 8934
14.9%
1 6552
10.9%
5 6529
10.9%
4 6163
10.3%
6 5918
9.9%
3 5577
9.3%
0 5348
8.9%
9 5329
8.9%
8 5231
8.7%
7 4419
7.4%
Other Punctuation
ValueCountFrequency (%)
/ 40000
44.4%
. 30000
33.3%
? 10000
 
11.1%
: 10000
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 360000
67.9%
Common 170000
32.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70000
19.4%
p 40000
11.1%
o 40000
11.1%
n 40000
11.1%
w 30000
8.3%
k 20000
 
5.6%
c 20000
 
5.6%
e 20000
 
5.6%
h 10000
 
2.8%
d 10000
 
2.8%
Other values (6) 60000
16.7%
Common
ValueCountFrequency (%)
/ 40000
23.5%
. 30000
17.6%
= 10000
 
5.9%
_ 10000
 
5.9%
? 10000
 
5.9%
: 10000
 
5.9%
2 8934
 
5.3%
1 6552
 
3.9%
5 6529
 
3.8%
4 6163
 
3.6%
Other values (6) 31822
18.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 70000
 
13.2%
p 40000
 
7.5%
/ 40000
 
7.5%
o 40000
 
7.5%
n 40000
 
7.5%
w 30000
 
5.7%
. 30000
 
5.7%
k 20000
 
3.8%
c 20000
 
3.8%
e 20000
 
3.8%
Other values (22) 180000
34.0%

조회수
Real number (ℝ)

HIGH CORRELATION 

Distinct852
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.0606
Minimum2
Maximum12229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:00.641851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median29
Q3112.25
95-th percentile522
Maximum12229
Range12227
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation284.39926
Coefficient of variation (CV)2.4295045
Kurtosis387.92599
Mean117.0606
Median Absolute Deviation (MAD)27
Skewness12.920252
Sum1170606
Variance80882.938
MonotonicityNot monotonic
2024-04-21T10:17:00.800437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1793
 
17.9%
4 487
 
4.9%
3 430
 
4.3%
5 353
 
3.5%
7 195
 
1.9%
6 187
 
1.9%
8 168
 
1.7%
9 151
 
1.5%
10 139
 
1.4%
12 130
 
1.3%
Other values (842) 5967
59.7%
ValueCountFrequency (%)
2 1793
17.9%
3 430
 
4.3%
4 487
 
4.9%
5 353
 
3.5%
6 187
 
1.9%
7 195
 
1.9%
8 168
 
1.7%
9 151
 
1.5%
10 139
 
1.4%
11 117
 
1.2%
ValueCountFrequency (%)
12229 1
< 0.1%
6302 1
< 0.1%
5276 1
< 0.1%
4163 1
< 0.1%
3608 1
< 0.1%
3377 1
< 0.1%
3285 1
< 0.1%
3241 1
< 0.1%
2974 1
< 0.1%
2963 1
< 0.1%

프로그램회차
Real number (ℝ)

Distinct2451
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762.7029
Minimum1
Maximum6544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:00.964383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q131
median97
Q3313
95-th percentile4848.1
Maximum6544
Range6543
Interquartile range (IQR)282

Descriptive statistics

Standard deviation1537.899
Coefficient of variation (CV)2.0163801
Kurtosis4.2005112
Mean762.7029
Median Absolute Deviation (MAD)82
Skewness2.3143728
Sum7627029
Variance2365133.3
MonotonicityNot monotonic
2024-04-21T10:17:01.091481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 114
 
1.1%
2 111
 
1.1%
6 106
 
1.1%
7 105
 
1.1%
5 103
 
1.0%
1 103
 
1.0%
10 101
 
1.0%
8 101
 
1.0%
12 98
 
1.0%
18 93
 
0.9%
Other values (2441) 8965
89.6%
ValueCountFrequency (%)
1 103
1.0%
2 111
1.1%
3 90
0.9%
4 114
1.1%
5 103
1.0%
6 106
1.1%
7 105
1.1%
8 101
1.0%
9 92
0.9%
10 101
1.0%
ValueCountFrequency (%)
6544 1
< 0.1%
6542 1
< 0.1%
6541 1
< 0.1%
6536 1
< 0.1%
6533 1
< 0.1%
6530 1
< 0.1%
6529 1
< 0.1%
6526 1
< 0.1%
6525 1
< 0.1%
6518 1
< 0.1%

방송일
Date

Distinct5261
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2024-03-29 00:00:00
2024-04-21T10:17:01.209805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:01.336907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방송시간(시)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct24
Distinct (%)1.0%
Missing7711
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean10.391437
Minimum0
Maximum23
Zeros50
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:01.470053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median9
Q316
95-th percentile20
Maximum23
Range23
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.9927576
Coefficient of variation (CV)0.57670151
Kurtosis-1.0369655
Mean10.391437
Median Absolute Deviation (MAD)4
Skewness0.40320788
Sum23786
Variance35.913143
MonotonicityNot monotonic
2024-04-21T10:17:01.569273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6 338
 
3.4%
5 301
 
3.0%
4 151
 
1.5%
11 147
 
1.5%
20 110
 
1.1%
13 110
 
1.1%
16 109
 
1.1%
7 102
 
1.0%
19 101
 
1.0%
17 100
 
1.0%
Other values (14) 720
 
7.2%
(Missing) 7711
77.1%
ValueCountFrequency (%)
0 50
 
0.5%
1 21
 
0.2%
2 24
 
0.2%
3 49
 
0.5%
4 151
1.5%
5 301
3.0%
6 338
3.4%
7 102
 
1.0%
8 69
 
0.7%
9 82
 
0.8%
ValueCountFrequency (%)
23 52
0.5%
22 15
 
0.1%
21 32
 
0.3%
20 110
1.1%
19 101
1.0%
18 93
0.9%
17 100
1.0%
16 109
1.1%
15 47
0.5%
14 48
0.5%

방송시간(분)
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.6%
Missing7711
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean30.146352
Minimum0
Maximum55
Zeros399
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:01.664316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median30
Q350
95-th percentile55
Maximum55
Range55
Interquartile range (IQR)45

Descriptive statistics

Standard deviation21.387165
Coefficient of variation (CV)0.70944454
Kurtosis-1.5716158
Mean30.146352
Median Absolute Deviation (MAD)20
Skewness-0.20096308
Sum69005
Variance457.41083
MonotonicityNot monotonic
2024-04-21T10:17:01.747975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
55 488
 
4.9%
0 399
 
4.0%
50 396
 
4.0%
20 221
 
2.2%
5 191
 
1.9%
30 178
 
1.8%
40 135
 
1.4%
10 119
 
1.2%
25 51
 
0.5%
45 47
 
0.5%
Other values (3) 64
 
0.6%
(Missing) 7711
77.1%
ValueCountFrequency (%)
0 399
4.0%
1 5
 
0.1%
5 191
1.9%
10 119
 
1.2%
15 20
 
0.2%
20 221
2.2%
25 51
 
0.5%
30 178
1.8%
35 39
 
0.4%
40 135
 
1.4%
ValueCountFrequency (%)
55 488
4.9%
50 396
4.0%
45 47
 
0.5%
40 135
 
1.4%
35 39
 
0.4%
30 178
 
1.8%
25 51
 
0.5%
20 221
2.2%
15 20
 
0.2%
10 119
 
1.2%

재생시간(분)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct133
Distinct (%)1.3%
Missing10
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean24.683483
Minimum0
Maximum176
Zeros145
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:01.875661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median25
Q336
95-th percentile59
Maximum176
Range176
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.321843
Coefficient of variation (CV)0.86381014
Kurtosis3.1311886
Mean24.683483
Median Absolute Deviation (MAD)17
Skewness1.415825
Sum246588
Variance454.621
MonotonicityNot monotonic
2024-04-21T10:17:02.031522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 1312
 
13.1%
28 593
 
5.9%
27 592
 
5.9%
7 580
 
5.8%
8 508
 
5.1%
9 454
 
4.5%
26 411
 
4.1%
29 358
 
3.6%
25 295
 
2.9%
6 227
 
2.3%
Other values (123) 4660
46.6%
ValueCountFrequency (%)
0 145
 
1.5%
1 61
 
0.6%
2 100
 
1.0%
3 201
 
2.0%
4 1312
13.1%
5 223
 
2.2%
6 227
 
2.3%
7 580
5.8%
8 508
 
5.1%
9 454
 
4.5%
ValueCountFrequency (%)
176 1
< 0.1%
148 1
< 0.1%
141 1
< 0.1%
138 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%
131 1
< 0.1%
130 1
< 0.1%
128 2
< 0.1%
127 1
< 0.1%

재생시간(초)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)0.6%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean27.942614
Minimum0
Maximum87
Zeros411
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:02.145886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median28
Q343
95-th percentile56
Maximum87
Range87
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.238401
Coefficient of variation (CV)0.61692156
Kurtosis-1.1337735
Mean27.942614
Median Absolute Deviation (MAD)15
Skewness0.083409831
Sum279007
Variance297.16247
MonotonicityNot monotonic
2024-04-21T10:17:02.251190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 411
 
4.1%
30 257
 
2.6%
50 227
 
2.3%
10 212
 
2.1%
35 206
 
2.1%
15 202
 
2.0%
17 197
 
2.0%
23 196
 
2.0%
28 196
 
2.0%
33 195
 
1.9%
Other values (51) 7686
76.9%
ValueCountFrequency (%)
0 411
4.1%
1 120
 
1.2%
2 160
 
1.6%
3 174
1.7%
4 153
 
1.5%
5 157
 
1.6%
6 150
 
1.5%
7 183
1.8%
8 174
1.7%
9 146
 
1.5%
ValueCountFrequency (%)
87 1
 
< 0.1%
59 88
0.9%
58 160
1.6%
57 160
1.6%
56 154
1.5%
55 144
1.4%
54 140
1.4%
53 140
1.4%
52 147
1.5%
51 127
1.3%

등록일
Date

Distinct4731
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2024-03-29 00:00:00
2024-04-21T10:17:02.379973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:02.513558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-21T10:16:54.503361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.265725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.935038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.906940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.548789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.178683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.872846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.591989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.395875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.044116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.999443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.634653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.266419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.962722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.682466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.482297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.160503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.094948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.717733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.357903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.054834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.774135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.562095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.469747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.195694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.805419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.453696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.149446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.876144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.650973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.558882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.282268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.884497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.547649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.240174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.976841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.737092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.674162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.373557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.983541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.638234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.330694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:55.065786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:50.843329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:51.817911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:52.466129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.093327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:53.762048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:16:54.417228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:17:02.595997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠아이디전체영상여부조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)
콘텐츠아이디1.0000.9920.1170.8980.5430.3090.4740.109
전체영상여부0.9921.0000.0530.4320.2210.0650.3790.044
조회수0.1170.0531.0000.0900.0920.0000.0220.000
프로그램회차0.8980.4320.0901.0000.7250.5850.5570.152
방송시간(시)0.5430.2210.0920.7251.0000.6340.4760.217
방송시간(분)0.3090.0650.0000.5850.6341.0000.4770.167
재생시간(분)0.4740.3790.0220.5570.4760.4771.0000.226
재생시간(초)0.1090.0440.0000.1520.2170.1670.2261.000
2024-04-21T10:17:02.940229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠아이디조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)전체영상여부
콘텐츠아이디1.0000.7810.1760.149-0.001-0.4010.0090.921
조회수0.7811.0000.0060.147-0.096-0.2630.0430.057
프로그램회차0.1760.0061.000-0.4180.303-0.322-0.0470.332
방송시간(시)0.1490.147-0.4181.000-0.3540.6520.1010.169
방송시간(분)-0.001-0.0960.303-0.3541.000-0.407-0.0880.050
재생시간(분)-0.401-0.263-0.3220.652-0.4071.0000.0520.291
재생시간(초)0.0090.043-0.0470.101-0.0880.0521.0000.033
전체영상여부0.9210.0570.3320.1690.0500.2910.0331.000

Missing values

2024-04-21T10:16:55.214053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:16:55.446089image/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.
2024-04-21T10:16:55.617157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

콘텐츠아이디제목프로그램아이디프로그램명카테고리아이디카테고리명전체영상여부섬네일주소링크주소팝업링크주소조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
10699371269희망 2011 신년음악회PG1110961D공연초대석100110문화교양Yhttps://www.ktv.go.kr/media/old/program/content_xml/69/371269_1.0_image_1.jpghttps://www.ktv.go.kr/content/view?content_id=371269https://www.ktv.go.kr/content/popup?content_id=3712691301402011-02-12<NA><NA>66262011-02-14
27218199303군정PG1110609D출발전국을향하여100110문화교양Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=199303https://www.ktv.go.kr/content/popup?content_id=1993033121997-12-17<NA><NA>28521997-12-17
8965420837고대 문명의 요람, 터키 동부 3부 - 문명의 향기, 시간이 멈춘 땅PG1110872D세계테마기행100110문화교양Yhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=420837https://www.ktv.go.kr/content/popup?content_id=420837911592012-03-21<NA><NA>3432012-03-30
20074249989안숙선의소리마당 780회PG1110153D안숙선의소리마당100110문화교양Yhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=249989https://www.ktv.go.kr/content/popup?content_id=24998957802003-06-10<NA><NA>26492003-06-10
28109191563주제PG1110158DKTV특강100110문화교양Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=191563https://www.ktv.go.kr/content/popup?content_id=19156341422000-12-13<NA><NA>45562000-12-13
25510203726일시 : 98. 9. 10 (목) 19:30PG1110134D문예중계실100110문화교양Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=203726https://www.ktv.go.kr/content/popup?content_id=2037262151998-09-12<NA><NA>59101998-09-12
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