Overview

Dataset statistics

Number of variables20
Number of observations7261
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory169.0 B

Variable types

Text6
Numeric9
Categorical2
Boolean1
DateTime2

Dataset

DescriptionKTV 국민방송에서 방송된 프로그램중 정책이슈가 지정된 콘텐츠의 정책이슈명, 정책이슈 목록 주소, 콘텐츠 제목, 프로그램명, 방송일, 링크주소 등의 데이터를 제공합니다.
Author문화체육관광부 한국정책방송원
URLhttps://www.data.go.kr/data/15084896/fileData.do

Alerts

프로그램아이디 is highly overall correlated with 프로그램회차 and 3 other fieldsHigh correlation
프로그램명 is highly overall correlated with 프로그램회차 and 3 other fieldsHigh correlation
이슈아이디 is highly overall correlated with 콘텐츠아이디High correlation
콘텐츠아이디 is highly overall correlated with 이슈아이디 and 1 other fieldsHigh correlation
프로그램회차 is highly overall correlated with 콘텐츠아이디 and 3 other fieldsHigh correlation
방송시간(시) is highly overall correlated with 프로그램아이디 and 1 other fieldsHigh correlation
전체영상여부 is highly overall correlated with 프로그램회차 and 2 other fieldsHigh correlation
전체영상여부 is highly imbalanced (62.4%)Imbalance
조회수 is highly skewed (γ1 = 44.86296042)Skewed
방송시간(분) has 4409 (60.7%) zerosZeros
재생시간(분) has 989 (13.6%) zerosZeros
재생시간(초) has 109 (1.5%) zerosZeros

Reproduction

Analysis started2024-04-21 01:57:15.548301
Analysis finished2024-04-21 01:57:28.418031
Duration12.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct99
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2024-04-21T10:57:28.668831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.306707
Min length4

Characters and Unicode

Total characters74837
Distinct characters246
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row청년정책 추진
2nd row청년정책 추진
3rd row청년정책 추진
4th row청년정책 추진
5th row청년정책 추진
ValueCountFrequency (%)
정부 2117
 
10.8%
윤석열 1765
 
9.0%
972
 
4.9%
대응 902
 
4.6%
정책 533
 
2.7%
바로보기 488
 
2.5%
업무보고 462
 
2.3%
코로나19 454
 
2.3%
대책 403
 
2.0%
예방 368
 
1.9%
Other values (174) 11209
57.0%
2024-04-21T10:57:29.134351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12412
 
16.6%
3925
 
5.2%
2518
 
3.4%
2340
 
3.1%
2 2328
 
3.1%
2043
 
2.7%
1920
 
2.6%
1774
 
2.4%
1487
 
2.0%
0 1388
 
1.9%
Other values (236) 42702
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55387
74.0%
Space Separator 12412
 
16.6%
Decimal Number 5744
 
7.7%
Other Punctuation 668
 
0.9%
Uppercase Letter 626
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3925
 
7.1%
2518
 
4.5%
2340
 
4.2%
2043
 
3.7%
1920
 
3.5%
1774
 
3.2%
1487
 
2.7%
1303
 
2.4%
1019
 
1.8%
1013
 
1.8%
Other values (212) 36045
65.1%
Uppercase Letter
ValueCountFrequency (%)
A 112
17.9%
G 108
17.3%
U 89
14.2%
E 81
12.9%
N 64
10.2%
T 51
8.1%
O 31
 
5.0%
P 25
 
4.0%
C 25
 
4.0%
K 20
 
3.2%
Decimal Number
ValueCountFrequency (%)
2 2328
40.5%
0 1388
24.2%
3 490
 
8.5%
1 474
 
8.3%
9 454
 
7.9%
4 423
 
7.4%
5 106
 
1.8%
7 70
 
1.2%
8 11
 
0.2%
Other Punctuation
ValueCountFrequency (%)
· 360
53.9%
, 179
26.8%
! 129
 
19.3%
Space Separator
ValueCountFrequency (%)
12412
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55387
74.0%
Common 18824
 
25.2%
Latin 626
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3925
 
7.1%
2518
 
4.5%
2340
 
4.2%
2043
 
3.7%
1920
 
3.5%
1774
 
3.2%
1487
 
2.7%
1303
 
2.4%
1019
 
1.8%
1013
 
1.8%
Other values (212) 36045
65.1%
Common
ValueCountFrequency (%)
12412
65.9%
2 2328
 
12.4%
0 1388
 
7.4%
3 490
 
2.6%
1 474
 
2.5%
9 454
 
2.4%
4 423
 
2.2%
· 360
 
1.9%
, 179
 
1.0%
! 129
 
0.7%
Other values (3) 187
 
1.0%
Latin
ValueCountFrequency (%)
A 112
17.9%
G 108
17.3%
U 89
14.2%
E 81
12.9%
N 64
10.2%
T 51
8.1%
O 31
 
5.0%
P 25
 
4.0%
C 25
 
4.0%
K 20
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55387
74.0%
ASCII 19090
 
25.5%
None 360
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12412
65.0%
2 2328
 
12.2%
0 1388
 
7.3%
3 490
 
2.6%
1 474
 
2.5%
9 454
 
2.4%
4 423
 
2.2%
, 179
 
0.9%
! 129
 
0.7%
A 112
 
0.6%
Other values (13) 701
 
3.7%
Hangul
ValueCountFrequency (%)
3925
 
7.1%
2518
 
4.5%
2340
 
4.2%
2043
 
3.7%
1920
 
3.5%
1774
 
3.2%
1487
 
2.7%
1303
 
2.4%
1019
 
1.8%
1013
 
1.8%
Other values (212) 36045
65.1%
None
ValueCountFrequency (%)
· 360
100.0%

이슈아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518491.06
Minimum518366
Maximum518555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:29.284989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum518366
5-th percentile518459
Q1518461
median518487
Q3518517
95-th percentile518550
Maximum518555
Range189
Interquartile range (IQR)56

Descriptive statistics

Standard deviation33.241689
Coefficient of variation (CV)6.4112367 × 10-5
Kurtosis-0.30333795
Mean518491.06
Median Absolute Deviation (MAD)26
Skewness0.09133556
Sum3.7647636 × 109
Variance1105.0099
MonotonicityDecreasing
2024-04-21T10:57:29.430648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
518461 1579
21.7%
518484 488
 
6.7%
518489 359
 
4.9%
518459 343
 
4.7%
518553 237
 
3.3%
518517 236
 
3.3%
518550 207
 
2.9%
518537 181
 
2.5%
518504 138
 
1.9%
518498 137
 
1.9%
Other values (89) 3356
46.2%
ValueCountFrequency (%)
518366 9
 
0.1%
518407 27
 
0.4%
518408 129
 
1.8%
518428 68
 
0.9%
518457 39
 
0.5%
518459 343
 
4.7%
518460 34
 
0.5%
518461 1579
21.7%
518463 11
 
0.2%
518464 26
 
0.4%
ValueCountFrequency (%)
518555 12
 
0.2%
518554 1
 
< 0.1%
518553 237
3.3%
518552 5
 
0.1%
518551 10
 
0.1%
518550 207
2.9%
518549 69
 
1.0%
518547 6
 
0.1%
518546 35
 
0.5%
518545 25
 
0.3%
Distinct99
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2024-04-21T10:57:29.688488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length44
Mean length44
Min length44

Characters and Unicode

Total characters319484
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowhttps://www.ktv.go.kr/issue/home/518555/list
2nd rowhttps://www.ktv.go.kr/issue/home/518555/list
3rd rowhttps://www.ktv.go.kr/issue/home/518555/list
4th rowhttps://www.ktv.go.kr/issue/home/518555/list
5th rowhttps://www.ktv.go.kr/issue/home/518555/list
ValueCountFrequency (%)
https://www.ktv.go.kr/issue/home/518461/list 1579
21.7%
https://www.ktv.go.kr/issue/home/518484/list 488
 
6.7%
https://www.ktv.go.kr/issue/home/518489/list 359
 
4.9%
https://www.ktv.go.kr/issue/home/518459/list 343
 
4.7%
https://www.ktv.go.kr/issue/home/518553/list 237
 
3.3%
https://www.ktv.go.kr/issue/home/518517/list 236
 
3.3%
https://www.ktv.go.kr/issue/home/518550/list 207
 
2.9%
https://www.ktv.go.kr/issue/home/518537/list 181
 
2.5%
https://www.ktv.go.kr/issue/home/518504/list 138
 
1.9%
https://www.ktv.go.kr/issue/home/518498/list 137
 
1.9%
Other values (89) 3356
46.2%
2024-04-21T10:57:30.052246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 43566
13.6%
s 29044
 
9.1%
t 29044
 
9.1%
w 21783
 
6.8%
. 21783
 
6.8%
h 14522
 
4.5%
e 14522
 
4.5%
k 14522
 
4.5%
o 14522
 
4.5%
i 14522
 
4.5%
Other values (18) 101654
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 203308
63.6%
Other Punctuation 72610
 
22.7%
Decimal Number 43566
 
13.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 29044
14.3%
t 29044
14.3%
w 21783
10.7%
h 14522
 
7.1%
e 14522
 
7.1%
k 14522
 
7.1%
o 14522
 
7.1%
i 14522
 
7.1%
l 7261
 
3.6%
m 7261
 
3.6%
Other values (5) 36305
17.9%
Decimal Number
ValueCountFrequency (%)
5 11179
25.7%
1 9754
22.4%
8 8994
20.6%
4 5660
13.0%
6 2393
 
5.5%
9 1481
 
3.4%
0 1147
 
2.6%
7 1109
 
2.5%
3 1030
 
2.4%
2 819
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 43566
60.0%
. 21783
30.0%
: 7261
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 203308
63.6%
Common 116176
36.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 29044
14.3%
t 29044
14.3%
w 21783
10.7%
h 14522
 
7.1%
e 14522
 
7.1%
k 14522
 
7.1%
o 14522
 
7.1%
i 14522
 
7.1%
l 7261
 
3.6%
m 7261
 
3.6%
Other values (5) 36305
17.9%
Common
ValueCountFrequency (%)
/ 43566
37.5%
. 21783
18.8%
5 11179
 
9.6%
1 9754
 
8.4%
8 8994
 
7.7%
: 7261
 
6.2%
4 5660
 
4.9%
6 2393
 
2.1%
9 1481
 
1.3%
0 1147
 
1.0%
Other values (3) 2958
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 43566
13.6%
s 29044
 
9.1%
t 29044
 
9.1%
w 21783
 
6.8%
. 21783
 
6.8%
h 14522
 
4.5%
e 14522
 
4.5%
k 14522
 
4.5%
o 14522
 
4.5%
i 14522
 
4.5%
Other values (18) 101654
31.8%

이슈콘텐츠수
Real number (ℝ)

Distinct67
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean469.20355
Minimum1
Maximum1582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:30.198904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q151
median139
Q3488
95-th percentile1582
Maximum1582
Range1581
Interquartile range (IQR)437

Descriptive statistics

Standard deviation600.5753
Coefficient of variation (CV)1.2799888
Kurtosis-0.32341244
Mean469.20355
Median Absolute Deviation (MAD)106
Skewness1.2176311
Sum3406887
Variance360690.69
MonotonicityNot monotonic
2024-04-21T10:57:30.357054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1582 1579
21.7%
488 488
 
6.7%
359 359
 
4.9%
343 343
 
4.7%
237 237
 
3.3%
238 236
 
3.3%
211 207
 
2.9%
95 190
 
2.6%
183 181
 
2.5%
51 153
 
2.1%
Other values (57) 3288
45.3%
ValueCountFrequency (%)
1 1
 
< 0.1%
5 5
 
0.1%
6 24
0.3%
7 7
 
0.1%
8 16
0.2%
9 9
 
0.1%
10 20
0.3%
11 33
0.5%
12 36
0.5%
13 13
 
0.2%
ValueCountFrequency (%)
1582 1579
21.7%
488 488
 
6.7%
359 359
 
4.9%
343 343
 
4.7%
238 236
 
3.3%
237 237
 
3.3%
211 207
 
2.9%
183 181
 
2.5%
139 138
 
1.9%
137 137
 
1.9%

콘텐츠아이디
Real number (ℝ)

HIGH CORRELATION 

Distinct6822
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672428.92
Minimum561032
Maximum698380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:30.502059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum561032
5-th percentile646843
Q1657641
median674079
Q3686264
95-th percentile696577
Maximum698380
Range137348
Interquartile range (IQR)28623

Descriptive statistics

Standard deviation16553.427
Coefficient of variation (CV)0.024617364
Kurtosis0.26673296
Mean672428.92
Median Absolute Deviation (MAD)13941
Skewness-0.38157113
Sum4.8825064 × 109
Variance2.7401595 × 108
MonotonicityNot monotonic
2024-04-21T10:57:30.661733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
695109 3
 
< 0.1%
691919 3
 
< 0.1%
697345 3
 
< 0.1%
696712 3
 
< 0.1%
689581 3
 
< 0.1%
649082 3
 
< 0.1%
687370 3
 
< 0.1%
690279 3
 
< 0.1%
691336 3
 
< 0.1%
653971 3
 
< 0.1%
Other values (6812) 7231
99.6%
ValueCountFrequency (%)
561032 1
< 0.1%
565158 1
< 0.1%
565271 1
< 0.1%
565296 1
< 0.1%
565297 1
< 0.1%
565458 1
< 0.1%
591489 1
< 0.1%
620082 1
< 0.1%
626296 1
< 0.1%
628920 1
< 0.1%
ValueCountFrequency (%)
698380 1
< 0.1%
698378 1
< 0.1%
698377 1
< 0.1%
698376 1
< 0.1%
698375 1
< 0.1%
698341 1
< 0.1%
698340 1
< 0.1%
698336 1
< 0.1%
698322 1
< 0.1%
698299 1
< 0.1%

제목
Text

Distinct6532
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2024-04-21T10:57:31.056665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length30.024652
Min length10

Characters and Unicode

Total characters218009
Distinct characters1041
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5903 ?
Unique (%)81.3%

Sample

1st row청년도약계좌, 올해 달라진 제도와 유용 정보는?
2nd row청년도약계좌 연계가입 41만5천 명···22일부터 2차 신청
3rd row빈틈없는 취업 지원···청년도약계좌 가입 요건 완화
4th row윤 대통령 "국가장학금 확대···주거장학금 신설"
5th row제17차 민생토론회 '청년편' (3.5) [브리핑 인사이트]
ValueCountFrequency (%)
대통령 967
 
2.0%
브리핑 786
 
1.6%
정책 587
 
1.2%
529
 
1.1%
바로보기 519
 
1.1%
대통령실 460
 
1.0%
윤석열 420
 
0.9%
22 341
 
0.7%
23 325
 
0.7%
11시 291
 
0.6%
Other values (14342) 42491
89.0%
2024-04-21T10:57:31.592752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40457
 
18.6%
· 12825
 
5.9%
" 4145
 
1.9%
3908
 
1.8%
2 2626
 
1.2%
1 2529
 
1.2%
2521
 
1.2%
' 2476
 
1.1%
. 2200
 
1.0%
0 1996
 
0.9%
Other values (1031) 142326
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134938
61.9%
Space Separator 40457
 
18.6%
Other Punctuation 24555
 
11.3%
Decimal Number 11679
 
5.4%
Open Punctuation 1991
 
0.9%
Close Punctuation 1991
 
0.9%
Uppercase Letter 1407
 
0.6%
Dash Punctuation 418
 
0.2%
Math Symbol 217
 
0.1%
Lowercase Letter 124
 
0.1%
Other values (3) 232
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3908
 
2.9%
2521
 
1.9%
1958
 
1.5%
1912
 
1.4%
1907
 
1.4%
1907
 
1.4%
1778
 
1.3%
1741
 
1.3%
1660
 
1.2%
1606
 
1.2%
Other values (946) 114040
84.5%
Uppercase Letter
ValueCountFrequency (%)
A 187
13.3%
E 120
 
8.5%
G 102
 
7.2%
K 100
 
7.1%
I 97
 
6.9%
T 87
 
6.2%
C 78
 
5.5%
P 73
 
5.2%
U 73
 
5.2%
D 67
 
4.8%
Other values (15) 423
30.1%
Lowercase Letter
ValueCountFrequency (%)
m 25
20.2%
o 22
17.7%
t 19
15.3%
p 13
10.5%
e 12
9.7%
s 5
 
4.0%
α 5
 
4.0%
w 4
 
3.2%
k 4
 
3.2%
d 3
 
2.4%
Other values (10) 12
9.7%
Other Punctuation
ValueCountFrequency (%)
· 12825
52.2%
" 4145
 
16.9%
' 2476
 
10.1%
. 2200
 
9.0%
, 1424
 
5.8%
? 1012
 
4.1%
% 206
 
0.8%
& 176
 
0.7%
! 77
 
0.3%
9
 
< 0.1%
Other values (2) 5
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 2626
22.5%
1 2529
21.7%
0 1996
17.1%
3 1184
10.1%
4 719
 
6.2%
5 656
 
5.6%
9 582
 
5.0%
6 488
 
4.2%
7 465
 
4.0%
8 434
 
3.7%
Math Symbol
ValueCountFrequency (%)
+ 110
50.7%
~ 55
25.3%
27
 
12.4%
14
 
6.5%
10
 
4.6%
1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
[ 1234
62.0%
( 757
38.0%
Close Punctuation
ValueCountFrequency (%)
] 1234
62.0%
) 757
38.0%
Initial Punctuation
ValueCountFrequency (%)
97
82.2%
21
 
17.8%
Final Punctuation
ValueCountFrequency (%)
94
86.2%
15
 
13.8%
Other Symbol
ValueCountFrequency (%)
3
60.0%
2
40.0%
Space Separator
ValueCountFrequency (%)
40457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 418
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134800
61.8%
Common 81540
37.4%
Latin 1526
 
0.7%
Han 138
 
0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3908
 
2.9%
2521
 
1.9%
1958
 
1.5%
1912
 
1.4%
1907
 
1.4%
1907
 
1.4%
1778
 
1.3%
1741
 
1.3%
1660
 
1.2%
1606
 
1.2%
Other values (931) 113902
84.5%
Latin
ValueCountFrequency (%)
A 187
 
12.3%
E 120
 
7.9%
G 102
 
6.7%
K 100
 
6.6%
I 97
 
6.4%
T 87
 
5.7%
C 78
 
5.1%
P 73
 
4.8%
U 73
 
4.8%
D 67
 
4.4%
Other values (34) 542
35.5%
Common
ValueCountFrequency (%)
40457
49.6%
· 12825
 
15.7%
" 4145
 
5.1%
2 2626
 
3.2%
1 2529
 
3.1%
' 2476
 
3.0%
. 2200
 
2.7%
0 1996
 
2.4%
, 1424
 
1.7%
[ 1234
 
1.5%
Other values (30) 9628
 
11.8%
Han
ValueCountFrequency (%)
55
39.9%
31
22.5%
23
16.7%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
2
 
1.4%
2
 
1.4%
1
 
0.7%
Other values (5) 5
 
3.6%
Greek
ValueCountFrequency (%)
α 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134800
61.8%
ASCII 69948
32.1%
None 12830
 
5.9%
Punctuation 236
 
0.1%
CJK 137
 
0.1%
Arrows 51
 
< 0.1%
CJK Compat 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40457
57.8%
" 4145
 
5.9%
2 2626
 
3.8%
1 2529
 
3.6%
' 2476
 
3.5%
. 2200
 
3.1%
0 1996
 
2.9%
, 1424
 
2.0%
[ 1234
 
1.8%
] 1234
 
1.8%
Other values (62) 9627
 
13.8%
None
ValueCountFrequency (%)
· 12825
> 99.9%
α 5
 
< 0.1%
Hangul
ValueCountFrequency (%)
3908
 
2.9%
2521
 
1.9%
1958
 
1.5%
1912
 
1.4%
1907
 
1.4%
1907
 
1.4%
1778
 
1.3%
1741
 
1.3%
1660
 
1.2%
1606
 
1.2%
Other values (931) 113902
84.5%
Punctuation
ValueCountFrequency (%)
97
41.1%
94
39.8%
21
 
8.9%
15
 
6.4%
9
 
3.8%
CJK
ValueCountFrequency (%)
55
40.1%
31
22.6%
23
16.8%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
2
 
1.5%
2
 
1.5%
1
 
0.7%
Other values (4) 4
 
2.9%
Arrows
ValueCountFrequency (%)
27
52.9%
14
27.5%
10
 
19.6%
CJK Compat
ValueCountFrequency (%)
3
60.0%
2
40.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

프로그램아이디
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
PG2170043D
2257 
PG2180013D
2107 
PG2170044D
1146 
PG2180014D
410 
PG2150016D
 
214
Other values (25)
1127 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st rowPG2170043D
2nd rowPG2220046D
3rd rowPG2180013D
4th rowPG2170044D
5th rowPG2170044D

Common Values

ValueCountFrequency (%)
PG2170043D 2257
31.1%
PG2180013D 2107
29.0%
PG2170044D 1146
15.8%
PG2180014D 410
 
5.6%
PG2150016D 214
 
2.9%
PG2220050D 213
 
2.9%
PG1110705D 205
 
2.8%
PG2220044D 149
 
2.1%
PG2230027D 144
 
2.0%
PG1110921D 136
 
1.9%
Other values (20) 280
 
3.9%

Length

2024-04-21T10:57:31.720405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
pg2170043d 2257
31.1%
pg2180013d 2107
29.0%
pg2170044d 1146
15.8%
pg2180014d 410
 
5.6%
pg2150016d 214
 
2.9%
pg2220050d 213
 
2.9%
pg1110705d 205
 
2.8%
pg2220044d 149
 
2.1%
pg2230027d 144
 
2.0%
pg1110921d 136
 
1.9%
Other values (20) 280
 
3.9%

프로그램명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
생방송 대한민국 1부
2257 
KTV 대한뉴스
2107 
생방송 대한민국 2부
1146 
KTV 뉴스중심
410 
KTV 뉴스 (17시)
 
214
Other values (25)
1127 

Length

Max length21
Median length19
Mean length9.5692053
Min length5

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row생방송 대한민국 1부
2nd row정책현장+
3rd rowKTV 대한뉴스
4th row생방송 대한민국 2부
5th row생방송 대한민국 2부

Common Values

ValueCountFrequency (%)
생방송 대한민국 1부 2257
31.1%
KTV 대한뉴스 2107
29.0%
생방송 대한민국 2부 1146
15.8%
KTV 뉴스중심 410
 
5.6%
KTV 뉴스 (17시) 214
 
2.9%
대통령실 브리핑 213
 
2.9%
정책브리핑 205
 
2.8%
KTV 대한뉴스 8 149
 
2.1%
KTV 대한뉴스 7 144
 
2.0%
특별생방송 136
 
1.9%
Other values (20) 280
 
3.9%

Length

2024-04-21T10:57:31.844321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 3413
18.7%
생방송 3411
18.7%
ktv 3100
17.0%
대한뉴스 2400
13.1%
1부 2257
12.4%
2부 1146
 
6.3%
뉴스중심 410
 
2.2%
브리핑 249
 
1.4%
뉴스 214
 
1.2%
17시 214
 
1.2%
Other values (37) 1457
8.0%

전체영상여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
False
6733 
True
 
528
ValueCountFrequency (%)
False 6733
92.7%
True 528
 
7.3%
2024-04-21T10:57:31.981280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct6822
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2024-04-21T10:57:32.204431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length68
Min length68

Characters and Unicode

Total characters493748
Distinct characters65
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6393 ?
Unique (%)88.0%

Sample

1st rowhttps://www.ktv.go.kr/media/contents/image/2024/02/07/LZe7CWyZRt.jpg
2nd rowhttps://www.ktv.go.kr/media/contents/image/2024/02/25/uiegVMUy4n.jpg
3rd rowhttps://www.ktv.go.kr/media/contents/image/2024/03/05/6WLQDT56GT.jpg
4th rowhttps://www.ktv.go.kr/media/contents/image/2024/03/05/ZpzE7AJbMh.jpg
5th rowhttps://www.ktv.go.kr/media/contents/image/2024/03/05/BgbdgWDY32.jpg
ValueCountFrequency (%)
https://www.ktv.go.kr/media/contents/image/2024/02/07/lze7cwyzrt.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2024/03/05/zpze7ajbmh.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/11/15/8cltlnlasq.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2022/06/02/xxhagaofq7.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/10/16/pgf9e3ivzx.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/11/24/5hege5imtv.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/12/11/mnqhimnwmx.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2022/08/16/ogrczzlvvv.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/12/19/sskzv31c23.jpg 3
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2024/03/14/shxk5tmzxm.jpg 3
 
< 0.1%
Other values (6812) 7231
99.6%
2024-04-21T10:57:32.573307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 65349
 
13.2%
t 37504
 
7.6%
. 29044
 
5.9%
w 23000
 
4.7%
e 22989
 
4.7%
g 22957
 
4.6%
2 22582
 
4.6%
0 17243
 
3.5%
p 15733
 
3.2%
a 15727
 
3.2%
Other values (55) 221620
44.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 292070
59.2%
Other Punctuation 101654
 
20.6%
Decimal Number 69813
 
14.1%
Uppercase Letter 30211
 
6.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 37504
12.8%
w 23000
 
7.9%
e 22989
 
7.9%
g 22957
 
7.9%
p 15733
 
5.4%
a 15727
 
5.4%
s 15725
 
5.4%
m 15714
 
5.4%
k 15689
 
5.4%
i 15667
 
5.4%
Other values (16) 91365
31.3%
Uppercase Letter
ValueCountFrequency (%)
I 1247
 
4.1%
X 1225
 
4.1%
M 1215
 
4.0%
Y 1213
 
4.0%
T 1208
 
4.0%
J 1206
 
4.0%
Z 1195
 
4.0%
A 1182
 
3.9%
W 1179
 
3.9%
D 1173
 
3.9%
Other values (16) 18168
60.1%
Decimal Number
ValueCountFrequency (%)
2 22582
32.3%
0 17243
24.7%
1 7472
 
10.7%
3 6685
 
9.6%
4 3333
 
4.8%
5 2540
 
3.6%
7 2536
 
3.6%
8 2519
 
3.6%
9 2458
 
3.5%
6 2445
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 65349
64.3%
. 29044
28.6%
: 7261
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 322281
65.3%
Common 171467
34.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 37504
 
11.6%
w 23000
 
7.1%
e 22989
 
7.1%
g 22957
 
7.1%
p 15733
 
4.9%
a 15727
 
4.9%
s 15725
 
4.9%
m 15714
 
4.9%
k 15689
 
4.9%
i 15667
 
4.9%
Other values (42) 121576
37.7%
Common
ValueCountFrequency (%)
/ 65349
38.1%
. 29044
16.9%
2 22582
 
13.2%
0 17243
 
10.1%
1 7472
 
4.4%
: 7261
 
4.2%
3 6685
 
3.9%
4 3333
 
1.9%
5 2540
 
1.5%
7 2536
 
1.5%
Other values (3) 7422
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 493748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 65349
 
13.2%
t 37504
 
7.6%
. 29044
 
5.9%
w 23000
 
4.7%
e 22989
 
4.7%
g 22957
 
4.6%
2 22582
 
4.6%
0 17243
 
3.5%
p 15733
 
3.2%
a 15727
 
3.2%
Other values (55) 221620
44.9%
Distinct6822
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2024-04-21T10:57:32.812729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length52
Min length52

Characters and Unicode

Total characters377572
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

Unique6393 ?
Unique (%)88.0%

Sample

1st rowhttps://www.ktv.go.kr/content/view?content_id=695109
2nd rowhttps://www.ktv.go.kr/content/view?content_id=696160
3rd rowhttps://www.ktv.go.kr/content/view?content_id=696740
4th rowhttps://www.ktv.go.kr/content/view?content_id=696712
5th rowhttps://www.ktv.go.kr/content/view?content_id=696717
ValueCountFrequency (%)
https://www.ktv.go.kr/content/view?content_id=695109 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=696712 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=689581 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=649082 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=687370 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=690279 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=691336 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=653971 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=691919 3
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=697345 3
 
< 0.1%
Other values (6812) 7231
99.6%
2024-04-21T10:57:33.166357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 50827
 
13.5%
/ 29044
 
7.7%
w 29044
 
7.7%
n 29044
 
7.7%
e 21783
 
5.8%
. 21783
 
5.8%
o 21783
 
5.8%
i 14522
 
3.8%
k 14522
 
3.8%
v 14522
 
3.8%
Other values (21) 130698
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 254135
67.3%
Other Punctuation 65349
 
17.3%
Decimal Number 43566
 
11.5%
Math Symbol 7261
 
1.9%
Connector Punctuation 7261
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 50827
20.0%
w 29044
11.4%
n 29044
11.4%
e 21783
8.6%
o 21783
8.6%
i 14522
 
5.7%
k 14522
 
5.7%
v 14522
 
5.7%
c 14522
 
5.7%
d 7261
 
2.9%
Other values (5) 36305
14.3%
Decimal Number
ValueCountFrequency (%)
6 11323
26.0%
7 4429
 
10.2%
8 4386
 
10.1%
5 4216
 
9.7%
9 4091
 
9.4%
4 3558
 
8.2%
3 3029
 
7.0%
1 2891
 
6.6%
0 2834
 
6.5%
2 2809
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 29044
44.4%
. 21783
33.3%
? 7261
 
11.1%
: 7261
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 7261
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7261
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 254135
67.3%
Common 123437
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 29044
23.5%
. 21783
17.6%
6 11323
 
9.2%
= 7261
 
5.9%
_ 7261
 
5.9%
? 7261
 
5.9%
: 7261
 
5.9%
7 4429
 
3.6%
8 4386
 
3.6%
5 4216
 
3.4%
Other values (6) 19212
15.6%
Latin
ValueCountFrequency (%)
t 50827
20.0%
w 29044
11.4%
n 29044
11.4%
e 21783
8.6%
o 21783
8.6%
i 14522
 
5.7%
k 14522
 
5.7%
v 14522
 
5.7%
c 14522
 
5.7%
d 7261
 
2.9%
Other values (5) 36305
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 377572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 50827
 
13.5%
/ 29044
 
7.7%
w 29044
 
7.7%
n 29044
 
7.7%
e 21783
 
5.8%
. 21783
 
5.8%
o 21783
 
5.8%
i 14522
 
3.8%
k 14522
 
3.8%
v 14522
 
3.8%
Other values (21) 130698
34.6%
Distinct6822
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2024-04-21T10:57:33.408792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length53
Mean length53
Min length53

Characters and Unicode

Total characters384833
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

Unique6393 ?
Unique (%)88.0%

Sample

1st rowhttps://www.ktv.go.kr/content/popup?content_id=695109
2nd rowhttps://www.ktv.go.kr/content/popup?content_id=696160
3rd rowhttps://www.ktv.go.kr/content/popup?content_id=696740
4th rowhttps://www.ktv.go.kr/content/popup?content_id=696712
5th rowhttps://www.ktv.go.kr/content/popup?content_id=696717
ValueCountFrequency (%)
https://www.ktv.go.kr/content/popup?content_id=695109 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=696712 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=689581 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=649082 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=687370 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=690279 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=691336 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=653971 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=691919 3
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=697345 3
 
< 0.1%
Other values (6812) 7231
99.6%
2024-04-21T10:57:33.797945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 50827
 
13.2%
o 29044
 
7.5%
p 29044
 
7.5%
n 29044
 
7.5%
/ 29044
 
7.5%
w 21783
 
5.7%
. 21783
 
5.7%
e 14522
 
3.8%
c 14522
 
3.8%
k 14522
 
3.8%
Other values (22) 130698
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 261396
67.9%
Other Punctuation 65349
 
17.0%
Decimal Number 43566
 
11.3%
Connector Punctuation 7261
 
1.9%
Math Symbol 7261
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 50827
19.4%
o 29044
11.1%
p 29044
11.1%
n 29044
11.1%
w 21783
8.3%
e 14522
 
5.6%
c 14522
 
5.6%
k 14522
 
5.6%
i 7261
 
2.8%
d 7261
 
2.8%
Other values (6) 43566
16.7%
Decimal Number
ValueCountFrequency (%)
6 11323
26.0%
7 4429
 
10.2%
8 4386
 
10.1%
5 4216
 
9.7%
9 4091
 
9.4%
4 3558
 
8.2%
3 3029
 
7.0%
1 2891
 
6.6%
0 2834
 
6.5%
2 2809
 
6.4%
Other Punctuation
ValueCountFrequency (%)
/ 29044
44.4%
. 21783
33.3%
? 7261
 
11.1%
: 7261
 
11.1%
Connector Punctuation
ValueCountFrequency (%)
_ 7261
100.0%
Math Symbol
ValueCountFrequency (%)
= 7261
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 261396
67.9%
Common 123437
32.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 50827
19.4%
o 29044
11.1%
p 29044
11.1%
n 29044
11.1%
w 21783
8.3%
e 14522
 
5.6%
c 14522
 
5.6%
k 14522
 
5.6%
i 7261
 
2.8%
d 7261
 
2.8%
Other values (6) 43566
16.7%
Common
ValueCountFrequency (%)
/ 29044
23.5%
. 21783
17.6%
6 11323
 
9.2%
_ 7261
 
5.9%
? 7261
 
5.9%
= 7261
 
5.9%
: 7261
 
5.9%
7 4429
 
3.6%
8 4386
 
3.6%
5 4216
 
3.4%
Other values (6) 19212
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 50827
 
13.2%
o 29044
 
7.5%
p 29044
 
7.5%
n 29044
 
7.5%
/ 29044
 
7.5%
w 21783
 
5.7%
. 21783
 
5.7%
e 14522
 
3.8%
c 14522
 
3.8%
k 14522
 
3.8%
Other values (22) 130698
34.0%

조회수
Real number (ℝ)

SKEWED 

Distinct741
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.47845
Minimum5
Maximum97712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:33.934466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile30
Q147
median66
Q3109
95-th percentile524
Maximum97712
Range97707
Interquartile range (IQR)62

Descriptive statistics

Standard deviation1458.2252
Coefficient of variation (CV)6.6139128
Kurtosis2800.3108
Mean220.47845
Median Absolute Deviation (MAD)24
Skewness44.86296
Sum1600894
Variance2126420.8
MonotonicityNot monotonic
2024-04-21T10:57:34.063583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 127
 
1.7%
43 126
 
1.7%
54 125
 
1.7%
50 118
 
1.6%
47 118
 
1.6%
48 116
 
1.6%
45 111
 
1.5%
52 102
 
1.4%
49 101
 
1.4%
53 96
 
1.3%
Other values (731) 6121
84.3%
ValueCountFrequency (%)
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 3
 
< 0.1%
11 3
 
< 0.1%
12 3
 
< 0.1%
13 3
 
< 0.1%
14 5
0.1%
15 12
0.2%
16 4
 
0.1%
ValueCountFrequency (%)
97712 1
< 0.1%
26011 1
< 0.1%
24548 2
< 0.1%
19681 1
< 0.1%
18588 1
< 0.1%
13882 1
< 0.1%
11929 1
< 0.1%
11308 1
< 0.1%
10924 1
< 0.1%
10780 1
< 0.1%

프로그램회차
Real number (ℝ)

HIGH CORRELATION 

Distinct1060
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1122.5116
Minimum1
Maximum2251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:34.411261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46
Q11041
median1215
Q31373
95-th percentile1514
Maximum2251
Range2250
Interquartile range (IQR)332

Descriptive statistics

Standard deviation395.89225
Coefficient of variation (CV)0.35268432
Kurtosis2.4293684
Mean1122.5116
Median Absolute Deviation (MAD)164
Skewness-1.700841
Sum8150557
Variance156730.67
MonotonicityNot monotonic
2024-04-21T10:57:34.541689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1427 26
 
0.4%
1263 25
 
0.3%
1400 24
 
0.3%
1389 24
 
0.3%
1217 23
 
0.3%
1414 23
 
0.3%
1433 22
 
0.3%
1401 22
 
0.3%
1332 21
 
0.3%
1373 21
 
0.3%
Other values (1050) 7030
96.8%
ValueCountFrequency (%)
1 9
0.1%
2 10
0.1%
3 8
0.1%
4 10
0.1%
5 6
0.1%
6 10
0.1%
7 10
0.1%
8 11
0.2%
9 14
0.2%
10 7
0.1%
ValueCountFrequency (%)
2251 1
< 0.1%
2123 1
< 0.1%
2110 2
< 0.1%
2069 1
< 0.1%
2046 1
< 0.1%
1925 1
< 0.1%
1800 1
< 0.1%
1799 1
< 0.1%
1797 1
< 0.1%
1796 1
< 0.1%
Distinct694
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
Minimum2018-09-16 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T10:57:34.668560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:34.796346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방송시간(시)
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.31139
Minimum0
Maximum23
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:34.910806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q110
median16
Q319
95-th percentile19
Maximum23
Range23
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.063866
Coefficient of variation (CV)0.28396026
Kurtosis-1.4364025
Mean14.31139
Median Absolute Deviation (MAD)3
Skewness-0.16375072
Sum103915
Variance16.515007
MonotonicityNot monotonic
2024-04-21T10:57:35.013737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 2212
30.5%
19 2095
28.9%
16 1206
16.6%
14 396
 
5.5%
17 269
 
3.7%
15 191
 
2.6%
8 187
 
2.6%
9 166
 
2.3%
7 152
 
2.1%
13 138
 
1.9%
Other values (12) 249
 
3.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 2
 
< 0.1%
2 4
 
0.1%
4 4
 
0.1%
6 2
 
< 0.1%
7 152
 
2.1%
8 187
 
2.6%
9 166
 
2.3%
10 2212
30.5%
11 69
 
1.0%
ValueCountFrequency (%)
23 8
 
0.1%
22 16
 
0.2%
21 13
 
0.2%
20 28
 
0.4%
19 2095
28.9%
18 79
 
1.1%
17 269
 
3.7%
16 1206
16.6%
15 191
 
2.6%
14 396
 
5.5%

방송시간(분)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.344856
Minimum0
Maximum55
Zeros4409
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:35.110657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile40
Maximum55
Range55
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.553022
Coefficient of variation (CV)1.3408842
Kurtosis-0.62858262
Mean12.344856
Median Absolute Deviation (MAD)0
Skewness0.86089536
Sum89636
Variance274.00255
MonotonicityNot monotonic
2024-04-21T10:57:35.203636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4409
60.7%
30 2060
28.4%
55 189
 
2.6%
50 128
 
1.8%
40 95
 
1.3%
10 77
 
1.1%
5 68
 
0.9%
25 62
 
0.9%
35 52
 
0.7%
15 47
 
0.6%
Other values (5) 74
 
1.0%
ValueCountFrequency (%)
0 4409
60.7%
1 9
 
0.1%
5 68
 
0.9%
10 77
 
1.1%
11 4
 
0.1%
15 47
 
0.6%
20 29
 
0.4%
25 62
 
0.9%
28 1
 
< 0.1%
30 2060
28.4%
ValueCountFrequency (%)
55 189
 
2.6%
50 128
 
1.8%
45 31
 
0.4%
40 95
 
1.3%
35 52
 
0.7%
30 2060
28.4%
28 1
 
< 0.1%
25 62
 
0.9%
20 29
 
0.4%
15 47
 
0.6%

재생시간(분)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4558601
Minimum0
Maximum235
Zeros989
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:35.327181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q35
95-th percentile20
Maximum235
Range235
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.676427
Coefficient of variation (CV)1.9568734
Kurtosis99.581628
Mean5.4558601
Median Absolute Deviation (MAD)1
Skewness7.8659655
Sum39615
Variance113.9861
MonotonicityNot monotonic
2024-04-21T10:57:35.460682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 2511
34.6%
0 989
 
13.6%
1 813
 
11.2%
3 521
 
7.2%
4 493
 
6.8%
5 363
 
5.0%
6 117
 
1.6%
14 102
 
1.4%
7 102
 
1.4%
16 99
 
1.4%
Other values (78) 1151
15.9%
ValueCountFrequency (%)
0 989
 
13.6%
1 813
 
11.2%
2 2511
34.6%
3 521
 
7.2%
4 493
 
6.8%
5 363
 
5.0%
6 117
 
1.6%
7 102
 
1.4%
8 73
 
1.0%
9 54
 
0.7%
ValueCountFrequency (%)
235 1
< 0.1%
182 1
< 0.1%
181 1
< 0.1%
166 1
< 0.1%
152 1
< 0.1%
149 2
< 0.1%
148 1
< 0.1%
144 1
< 0.1%
121 1
< 0.1%
116 2
< 0.1%

재생시간(초)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.94133
Minimum0
Maximum59
Zeros109
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size63.9 KiB
2024-04-21T10:57:35.613393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median29
Q342
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.480321
Coefficient of variation (CV)0.56943894
Kurtosis-1.0467468
Mean28.94133
Median Absolute Deviation (MAD)13
Skewness0.026824422
Sum210143
Variance271.60097
MonotonicityNot monotonic
2024-04-21T10:57:35.779788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 168
 
2.3%
27 161
 
2.2%
30 154
 
2.1%
28 154
 
2.1%
25 153
 
2.1%
38 148
 
2.0%
42 147
 
2.0%
33 147
 
2.0%
37 144
 
2.0%
23 144
 
2.0%
Other values (50) 5741
79.1%
ValueCountFrequency (%)
0 109
1.5%
1 115
1.6%
2 109
1.5%
3 113
1.6%
4 125
1.7%
5 104
1.4%
6 138
1.9%
7 108
1.5%
8 115
1.6%
9 113
1.6%
ValueCountFrequency (%)
59 95
1.3%
58 90
1.2%
57 116
1.6%
56 117
1.6%
55 89
1.2%
54 99
1.4%
53 107
1.5%
52 103
1.4%
51 92
1.3%
50 104
1.4%
Distinct693
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
Minimum2018-09-16 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T10:57:35.914756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:36.039232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-21T10:57:26.904310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:19.836888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.776020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.900526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.752129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.627393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.428821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.260266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.096372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.003861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:19.995018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.920691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.999564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.862162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.720770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.520502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.364415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.186109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.311888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.096615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.043565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.099869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.958417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.813879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.611226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.459884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.277707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.418506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.198189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.146524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.198579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.062404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.908233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.710546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.562762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.366181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.508782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.303881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.246492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.289143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.146997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.992058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.810463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.648628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.446506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.592108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.404084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.340888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.377984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.231790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.084223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.888458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.728898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.524984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.673478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.493574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.450603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.466090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.321618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.168726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.978392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.816425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.611715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.766530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.585896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.543636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.562588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.411985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.260277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.065327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.902080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.708502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:27.849427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:20.673054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:21.804924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:22.655027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:23.518717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:24.338511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.174449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:25.995265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:57:26.812085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:57:36.140625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이슈명이슈아이디이슈홈주소이슈콘텐츠수콘텐츠아이디프로그램아이디프로그램명전체영상여부조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)
이슈명1.0001.0001.0001.0000.8240.7570.7570.2660.0000.7030.5850.4690.3730.170
이슈아이디1.0001.0001.0000.7910.7490.5040.5040.1530.0550.4560.3260.2210.1310.053
이슈홈주소1.0001.0001.0001.0000.8240.7570.7570.2660.0000.7030.5850.4690.3730.170
이슈콘텐츠수1.0000.7911.0001.0000.4600.5920.5920.0860.0590.5260.4990.3090.1390.095
콘텐츠아이디0.8240.7490.8240.4601.0000.5600.5600.0530.0340.6640.1220.2110.1930.090
프로그램아이디0.7570.5040.7570.5920.5601.0001.0000.9740.1430.9680.9400.8120.7890.116
프로그램명0.7570.5040.7570.5920.5601.0001.0000.9740.1430.9680.9400.8120.7890.116
전체영상여부0.2660.1530.2660.0860.0530.9740.9741.0000.0520.7600.3970.5910.3580.072
조회수0.0000.0550.0000.0590.0340.1430.1430.0521.0000.1440.0000.0940.0000.038
프로그램회차0.7030.4560.7030.5260.6640.9680.9680.7600.1441.0000.6600.5770.2160.103
방송시간(시)0.5850.3260.5850.4990.1220.9400.9400.3970.0000.6601.0000.6980.2430.088
방송시간(분)0.4690.2210.4690.3090.2110.8120.8120.5910.0940.5770.6981.0000.1220.096
재생시간(분)0.3730.1310.3730.1390.1930.7890.7890.3580.0000.2160.2430.1221.0000.000
재생시간(초)0.1700.0530.1700.0950.0900.1160.1160.0720.0380.1030.0880.0960.0001.000
2024-04-21T10:57:36.275586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
프로그램아이디프로그램명전체영상여부
프로그램아이디1.0001.0000.880
프로그램명1.0001.0000.880
전체영상여부0.8800.8801.000
2024-04-21T10:57:36.372114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이슈아이디이슈콘텐츠수콘텐츠아이디조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)프로그램아이디프로그램명전체영상여부
이슈아이디1.000-0.4970.5900.0450.333-0.017-0.1440.1390.0150.2080.2080.115
이슈콘텐츠수-0.4971.000-0.029-0.0940.025-0.0000.020-0.033-0.0140.2990.2990.106
콘텐츠아이디0.590-0.0291.0000.0200.6230.055-0.1930.0880.0130.2480.2480.040
조회수0.045-0.0940.0201.0000.036-0.037-0.1630.3280.0260.0740.0740.034
프로그램회차0.3330.0250.6230.0361.000-0.013-0.1330.1030.0000.7290.7290.597
방송시간(시)-0.017-0.0000.055-0.037-0.0131.0000.304-0.300-0.0290.6360.6360.305
방송시간(분)-0.1440.020-0.193-0.163-0.1330.3041.000-0.027-0.0280.4060.4060.457
재생시간(분)0.139-0.0330.0880.3280.103-0.300-0.0271.000-0.1470.4280.4280.357
재생시간(초)0.015-0.0140.0130.0260.000-0.029-0.028-0.1471.0000.0370.0370.055
프로그램아이디0.2080.2990.2480.0740.7290.6360.4060.4280.0371.0001.0000.880
프로그램명0.2080.2990.2480.0740.7290.6360.4060.4280.0371.0001.0000.880
전체영상여부0.1150.1060.0400.0340.5970.3050.4570.3570.0550.8800.8801.000

Missing values

2024-04-21T10:57:28.002487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:57:28.299788image/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

이슈명이슈아이디이슈홈주소이슈콘텐츠수콘텐츠아이디제목프로그램아이디프로그램명전체영상여부이미지주소링크주소링크주소(팝업)조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
0청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12695109청년도약계좌, 올해 달라진 제도와 유용 정보는?PG2170043D생방송 대한민국 1부Nhttps://www.ktv.go.kr/media/contents/image/2024/02/07/LZe7CWyZRt.jpghttps://www.ktv.go.kr/content/view?content_id=695109https://www.ktv.go.kr/content/popup?content_id=69510919914952024-02-0710015462024-02-07
1청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696160청년도약계좌 연계가입 41만5천 명···22일부터 2차 신청PG2220046D정책현장+Nhttps://www.ktv.go.kr/media/contents/image/2024/02/25/uiegVMUy4n.jpghttps://www.ktv.go.kr/content/view?content_id=696160https://www.ktv.go.kr/content/popup?content_id=69616069612024-02-251040222024-02-25
2청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696740빈틈없는 취업 지원···청년도약계좌 가입 요건 완화PG2180013DKTV 대한뉴스Nhttps://www.ktv.go.kr/media/contents/image/2024/03/05/6WLQDT56GT.jpghttps://www.ktv.go.kr/content/view?content_id=696740https://www.ktv.go.kr/content/popup?content_id=69674016014182024-03-051953152024-03-05
3청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696712윤 대통령 "국가장학금 확대···주거장학금 신설"PG2170044D생방송 대한민국 2부Nhttps://www.ktv.go.kr/media/contents/image/2024/03/05/ZpzE7AJbMh.jpghttps://www.ktv.go.kr/content/view?content_id=696712https://www.ktv.go.kr/content/popup?content_id=6967124715312024-03-0516300332024-03-05
4청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696717제17차 민생토론회 '청년편' (3.5) [브리핑 인사이트]PG2170044D생방송 대한민국 2부Nhttps://www.ktv.go.kr/media/contents/image/2024/03/05/BgbdgWDY32.jpghttps://www.ktv.go.kr/content/view?content_id=696717https://www.ktv.go.kr/content/popup?content_id=69671710715312024-03-0516302442024-03-05
5청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696679청년 주택드림 청약통장 지원 대상과 내용은?PG2170043D생방송 대한민국 1부Nhttps://www.ktv.go.kr/media/contents/image/2024/03/05/HlNbg8SN77.jpghttps://www.ktv.go.kr/content/view?content_id=696679https://www.ktv.go.kr/content/popup?content_id=69667974615112024-03-059012112024-03-05
6청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12697691'문화예술패스' 발급···19세 1인당 최대 15만 원PG2180013DKTV 대한뉴스Nhttps://www.ktv.go.kr/media/contents/image/2024/03/20/z7NVTs4xSt.jpghttps://www.ktv.go.kr/content/view?content_id=697691https://www.ktv.go.kr/content/popup?content_id=6976918214292024-03-201902282024-03-20
7청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696159'청년 주택드림 청약통장' 출시···이자율 최대 4.5%PG2220046D정책현장+Nhttps://www.ktv.go.kr/media/contents/image/2024/02/25/nbdXFhF5sb.jpghttps://www.ktv.go.kr/content/view?content_id=696159https://www.ktv.go.kr/content/popup?content_id=696159108612024-02-2510402312024-02-25
8청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696798장학금부터 출산지원금까지, 청년이 곧 미래! 대폭 지원한다! [경제&이슈]PG2170044D생방송 대한민국 2부Nhttps://www.ktv.go.kr/media/contents/image/2024/03/06/8yLrmGSDhr.jpghttps://www.ktv.go.kr/content/view?content_id=696798https://www.ktv.go.kr/content/popup?content_id=6967985115322024-03-06163015102024-03-06
9청년정책 추진518555https://www.ktv.go.kr/issue/home/518555/list12696863국가장학금 확대, 학자금 대출 금리 동결PG2150012D국민리포트Nhttps://www.ktv.go.kr/media/contents/image/2024/03/08/PpGw86vDYh.jpghttps://www.ktv.go.kr/content/view?content_id=696863https://www.ktv.go.kr/content/popup?content_id=69686349622512024-03-071540592024-03-07
이슈명이슈아이디이슈홈주소이슈콘텐츠수콘텐츠아이디제목프로그램아이디프로그램명전체영상여부이미지주소링크주소링크주소(팝업)조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
7251코로나19 경제지원518407https://www.ktv.go.kr/issue/home/518407/list27648903소상공인 손실보전금 집행계획 발표PG1110705D정책브리핑Yhttps://www.ktv.go.kr/media/contents/image/2022/05/30/dAI1vMb53f.jpghttps://www.ktv.go.kr/content/view?content_id=648903https://www.ktv.go.kr/content/popup?content_id=6489036415122022-05-3015015472022-05-30
7252아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9654298강원 양구 ASF 확진···48시간 일시이동중지PG2170044D생방송 대한민국 2부Nhttps://www.ktv.go.kr/media/contents/image/2022/08/19/rA3H680qUY.jpghttps://www.ktv.go.kr/content/view?content_id=654298https://www.ktv.go.kr/content/popup?content_id=6542983711602022-08-1916302232022-08-19
7253아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9656303강원 춘천 돼지농장 아프리카돼지열병 발생PG2170043D생방송 대한민국 1부Nhttps://www.ktv.go.kr/media/contents/image/2022/09/19/3eO46MiGir.jpghttps://www.ktv.go.kr/content/view?content_id=656303https://www.ktv.go.kr/content/popup?content_id=6563035411592022-09-191000232022-09-19
7254아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9656554춘천 돼지농장 아프리카돼지열병 추가 발생PG2180013DKTV 대한뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/09/20/4q0OpVvuA3.jpghttps://www.ktv.go.kr/content/view?content_id=656554https://www.ktv.go.kr/content/popup?content_id=6565543910572022-09-2019302122022-09-20
7255아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9657355파주·평택 농장 아프리카돼지열병 잇따라 발생PG2170043D생방송 대한민국 1부Nhttps://www.ktv.go.kr/media/contents/image/2022/09/29/YH7QKIyYwm.jpghttps://www.ktv.go.kr/content/view?content_id=657355https://www.ktv.go.kr/content/popup?content_id=6573557211662022-09-291000262022-09-29
7256아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9693701아프리카돼지열병(ASF) 차단 위한 현장점검PG2170044D생방송 대한민국 2부Nhttps://www.ktv.go.kr/media/contents/image/2024/01/16/7Xmj4Amjiq.jpghttps://www.ktv.go.kr/content/view?content_id=693701https://www.ktv.go.kr/content/popup?content_id=6937013414992024-01-1616300412024-01-16
7257아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9657841ASF 확산에 전국 특별방역···농식품부 차관 현장점검PG2220044DKTV 대한뉴스 8Nhttps://www.ktv.go.kr/media/contents/image/2022/10/06/LCSEoDdGeI.jpghttps://www.ktv.go.kr/content/view?content_id=657841https://www.ktv.go.kr/content/popup?content_id=65784153202022-10-06802192022-10-06
7258아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9661321철원 양돈농장 ASF···경기·강원 북부 일시 이동중지PG2170043D생방송 대한민국 1부Nhttps://www.ktv.go.kr/media/contents/image/2022/11/10/ddUANgFtU0.jpghttps://www.ktv.go.kr/content/view?content_id=661321https://www.ktv.go.kr/content/popup?content_id=6613215111942022-11-101000372022-11-10
7259아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9686370다음달부터 가축전염병 특별방역···"검사 확대·소독 강화" [정책현장+]PG2180013DKTV 대한뉴스Nhttps://www.ktv.go.kr/media/contents/image/2023/09/26/T6mrVwLdST.jpghttps://www.ktv.go.kr/content/view?content_id=686370https://www.ktv.go.kr/content/popup?content_id=68637014213132023-09-261902222023-09-26
7260아프리카돼지열병 예방518366https://www.ktv.go.kr/issue/home/518366/list9657433김포·파주 돼지열병 잇따라···"초동방역 신속 이행"PG2180013DKTV 대한뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/09/29/xyRxlLHMeZ.jpghttps://www.ktv.go.kr/content/view?content_id=657433https://www.ktv.go.kr/content/popup?content_id=6574336310642022-09-2919302102022-09-29