Overview

Dataset statistics

Number of variables7
Number of observations86
Missing cells77
Missing cells (%)12.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory59.5 B

Variable types

Categorical3
Text2
Numeric2

Dataset

Description국제방송교류재단 국내 아리랑채널 시청방법 입니다. 국내지역 송출현황을 안내드립니다. 아리랑TV 수신을 원하시는 경우, 해당 지역 방송사의 상품명을 확인 바랍니다.
Author국제방송교류재단
URLhttps://www.data.go.kr/data/15125593/fileData.do

Alerts

채널번호(Analogue) is highly overall correlated with 채널번호(8VSB)High correlation
채널번호(Digital) is highly overall correlated with 상품명High correlation
채널번호(8VSB) is highly overall correlated with 채널번호(Analogue) and 1 other fieldsHigh correlation
상품명 is highly overall correlated with 채널번호(Digital) and 1 other fieldsHigh correlation
채널번호(Analogue) has 77 (89.5%) missing valuesMissing

Reproduction

Analysis started2023-12-16 15:41:26.122095
Analysis finished2023-12-16 15:41:31.893513
Duration5.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct17
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
서울
23 
경기
11 
부산
9 
대구
7 
인천
5 
Other values (12)
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
서울 23
26.7%
경기 11
12.8%
부산 9
 
10.5%
대구 7
 
8.1%
인천 5
 
5.8%
경북 4
 
4.7%
경남 4
 
4.7%
전북 3
 
3.5%
전남 3
 
3.5%
강원 3
 
3.5%
Other values (7) 14
16.3%

Length

2023-12-16T15:41:32.412021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 23
26.7%
경기 11
12.8%
부산 9
 
10.5%
대구 7
 
8.1%
인천 5
 
5.8%
경북 4
 
4.7%
경남 4
 
4.7%
충남 3
 
3.5%
광주 3
 
3.5%
전남 3
 
3.5%
Other values (7) 14
16.3%

시군구
Text

Distinct79
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-16T15:41:34.224054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length10.55814
Min length2

Characters and Unicode

Total characters908
Distinct characters139
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)83.7%

Sample

1st row영등포구
2nd row동대문구
3rd row관악구
4th row동작구
5th row서초구
ValueCountFrequency (%)
북구 4
 
1.6%
광주 4
 
1.6%
서 3
 
1.2%
동구 3
 
1.2%
동 3
 
1.2%
중 3
 
1.2%
의정부 2
 
0.8%
남구 2
 
0.8%
수성구 2
 
0.8%
부산 2
 
0.8%
Other values (205) 224
88.9%
2023-12-16T15:41:37.220678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
18.9%
, 161
17.7%
구 64
 
7.0%
주 25
 
2.8%
천 24
 
2.6%
산 21
 
2.3%
성 21
 
2.3%
동 21
 
2.3%
양 20
 
2.2%
서 14
 
1.5%
Other values (129) 365
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
62.7%
Space Separator 172
 
18.9%
Other Punctuation 163
 
18.0%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 64
 
11.2%
주 25
 
4.4%
천 24
 
4.2%
산 21
 
3.7%
성 21
 
3.7%
동 21
 
3.7%
양 20
 
3.5%
서 14
 
2.5%
진 13
 
2.3%
남 13
 
2.3%
Other values (124) 333
58.5%
Other Punctuation
ValueCountFrequency (%)
, 161
98.8%
/ 2
 
1.2%
Space Separator
ValueCountFrequency (%)
172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
62.7%
Common 339
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 64
 
11.2%
주 25
 
4.4%
천 24
 
4.2%
산 21
 
3.7%
성 21
 
3.7%
동 21
 
3.7%
양 20
 
3.5%
서 14
 
2.5%
진 13
 
2.3%
남 13
 
2.3%
Other values (124) 333
58.5%
Common
ValueCountFrequency (%)
172
50.7%
, 161
47.5%
) 2
 
0.6%
/ 2
 
0.6%
( 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
62.7%
ASCII 339
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
50.7%
, 161
47.5%
) 2
 
0.6%
/ 2
 
0.6%
( 2
 
0.6%
Hangul
ValueCountFrequency (%)
구 64
 
11.2%
주 25
 
4.4%
천 24
 
4.2%
산 21
 
3.7%
성 21
 
3.7%
동 21
 
3.7%
양 20
 
3.5%
서 14
 
2.5%
진 13
 
2.3%
남 13
 
2.3%
Other values (124) 333
58.5%

방송사명
Text

Distinct85
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-16T15:41:38.368259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length11.395349
Min length4

Characters and Unicode

Total characters980
Distinct characters107
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)97.7%

Sample

1st row(주)씨엠비영등포방송
2nd row(주)씨엠비동대문방송
3rd row(주)현대에이치씨엔
4th row(주)현대에이치씨엔동작
5th row(주)현대에이치씨엔서초
ValueCountFrequency (%)
lg헬로비전 21
 
15.2%
sk브로드밴드 21
 
15.2%
주)씨엠비 4
 
2.9%
중앙방송 2
 
1.4%
주)현대에이치씨엔 2
 
1.4%
한빛 1
 
0.7%
엘지헬로 1
 
0.7%
나라방송 1
 
0.7%
영동방송 1
 
0.7%
주)딜라이브경기동부케이블티브이 1
 
0.7%
Other values (83) 83
60.1%
2023-12-16T15:41:40.366019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 54
 
5.5%
52
 
5.3%
브 51
 
5.2%
로 45
 
4.6%
드 42
 
4.3%
( 40
 
4.1%
) 40
 
4.1%
주 40
 
4.1%
송 37
 
3.8%
방 36
 
3.7%
Other values (97) 543
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
76.0%
Uppercase Letter 99
 
10.1%
Space Separator 52
 
5.3%
Open Punctuation 40
 
4.1%
Close Punctuation 40
 
4.1%
Lowercase Letter 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 54
 
7.2%
브 51
 
6.8%
로 45
 
6.0%
드 42
 
5.6%
주 40
 
5.4%
송 37
 
5.0%
방 36
 
4.8%
비 32
 
4.3%
전 25
 
3.4%
헬 22
 
3.0%
Other values (79) 361
48.5%
Uppercase Letter
ValueCountFrequency (%)
K 22
22.2%
L 21
21.2%
S 21
21.2%
G 21
21.2%
D 4
 
4.0%
H 4
 
4.0%
C 2
 
2.0%
A 1
 
1.0%
B 1
 
1.0%
T 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
c 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
76.0%
Common 133
 
13.6%
Latin 102
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 54
 
7.2%
브 51
 
6.8%
로 45
 
6.0%
드 42
 
5.6%
주 40
 
5.4%
송 37
 
5.0%
방 36
 
4.8%
비 32
 
4.3%
전 25
 
3.4%
헬 22
 
3.0%
Other values (79) 361
48.5%
Latin
ValueCountFrequency (%)
K 22
21.6%
L 21
20.6%
S 21
20.6%
G 21
20.6%
D 4
 
3.9%
H 4
 
3.9%
C 2
 
2.0%
A 1
 
1.0%
B 1
 
1.0%
T 1
 
1.0%
Other values (4) 4
 
3.9%
Common
ValueCountFrequency (%)
52
39.1%
( 40
30.1%
) 40
30.1%
/ 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
76.0%
ASCII 235
 
24.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 54
 
7.2%
브 51
 
6.8%
로 45
 
6.0%
드 42
 
5.6%
주 40
 
5.4%
송 37
 
5.0%
방 36
 
4.8%
비 32
 
4.3%
전 25
 
3.4%
헬 22
 
3.0%
Other values (79) 361
48.5%
ASCII
ValueCountFrequency (%)
52
22.1%
( 40
17.0%
) 40
17.0%
K 22
9.4%
L 21
8.9%
S 21
8.9%
G 21
8.9%
D 4
 
1.7%
H 4
 
1.7%
C 2
 
0.9%
Other values (8) 8
 
3.4%

채널번호(Analogue)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)77.8%
Missing77
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean60.666667
Minimum46
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-16T15:41:41.376844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile49.2
Q161
median62
Q363
95-th percentile68.6
Maximum71
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.053368
Coefficient of variation (CV)0.11626431
Kurtosis1.9289123
Mean60.666667
Median Absolute Deviation (MAD)1
Skewness-1.0253079
Sum546
Variance49.75
MonotonicityNot monotonic
2023-12-16T15:41:42.200826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
63 2
 
2.3%
61 2
 
2.3%
46 1
 
1.2%
71 1
 
1.2%
65 1
 
1.2%
62 1
 
1.2%
54 1
 
1.2%
(Missing) 77
89.5%
ValueCountFrequency (%)
46 1
1.2%
54 1
1.2%
61 2
2.3%
62 1
1.2%
63 2
2.3%
65 1
1.2%
71 1
1.2%
ValueCountFrequency (%)
71 1
1.2%
65 1
1.2%
63 2
2.3%
62 1
1.2%
61 2
2.3%
54 1
1.2%
46 1
1.2%

채널번호(8VSB)
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size820.0 B
44 
90-2
9 
71-1
5 
67-1
 
4
60-1
 
3
Other values (14)
21 

Length

Max length5
Median length1
Mean length2.9534884
Min length1

Unique

Unique7 ?
Unique (%)8.1%

Sample

1st row 90-2
2nd row 90-2
3rd row 56-1
4th row
5th row 47-1

Common Values

ValueCountFrequency (%)
44
51.2%
90-2 9
 
10.5%
71-1 5
 
5.8%
67-1 4
 
4.7%
60-1 3
 
3.5%
63-1 2
 
2.3%
61-1 2
 
2.3%
98-3 2
 
2.3%
69-1 2
 
2.3%
65-1 2
 
2.3%
Other values (9) 11
 
12.8%

Length

2023-12-16T15:41:42.976886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
90-2 9
21.4%
71-1 5
11.9%
67-1 4
9.5%
60-1 3
 
7.1%
69-1 2
 
4.8%
74-1 2
 
4.8%
65-1 2
 
4.8%
66-1 2
 
4.8%
98-3 2
 
4.8%
61-1 2
 
4.8%
Other values (8) 9
21.4%

채널번호(Digital)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.77907
Minimum140
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-16T15:41:43.962610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile165.5
Q1189
median200
Q3309
95-th percentile440
Maximum440
Range300
Interquartile range (IQR)120

Descriptive statistics

Standard deviation83.9712
Coefficient of variation (CV)0.33889545
Kurtosis0.083619367
Mean247.77907
Median Absolute Deviation (MAD)19
Skewness1.0520272
Sum21309
Variance7051.1624
MonotonicityNot monotonic
2023-12-16T15:41:44.583255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
309 22
25.6%
200 21
24.4%
189 15
17.4%
440 8
 
9.3%
181 7
 
8.1%
140 2
 
2.3%
185 2
 
2.3%
176 1
 
1.2%
353 1
 
1.2%
212 1
 
1.2%
Other values (6) 6
 
7.0%
ValueCountFrequency (%)
140 2
 
2.3%
146 1
 
1.2%
159 1
 
1.2%
162 1
 
1.2%
176 1
 
1.2%
181 7
 
8.1%
185 2
 
2.3%
189 15
17.4%
200 21
24.4%
212 1
 
1.2%
ValueCountFrequency (%)
440 8
 
9.3%
372 1
 
1.2%
353 1
 
1.2%
309 22
25.6%
231 1
 
1.2%
228 1
 
1.2%
212 1
 
1.2%
200 21
24.4%
189 15
17.4%
185 2
 
2.3%

상품명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
B tv 알뜰200(디지털 HD)
10 
Standard(디지털)
10 
가족형 (8VSB) 베이직 (디지털)
9 
HD이코노미(디지털)
8 
실속형(디지털알뜰형)/ HD이코노미(디지털)
6 
Other values (24)
43 

Length

Max length44
Median length38
Mean length21.930233
Min length3

Unique

Unique16 ?
Unique (%)18.6%

Sample

1st row가족형 (8VSB) 베이직 (디지털)
2nd row가족형 (8VSB) 베이직 (디지털)
3rd row훼밀리플러스형(뉴HD방송)/프라임형(디지털방송)
4th row프라임형(디지털방송)
5th row훼밀리형(뉴HD방송)/프라임형(디지털방송)

Common Values

ValueCountFrequency (%)
B tv 알뜰200(디지털 HD) 10
11.6%
Standard(디지털) 10
11.6%
가족형 (8VSB) 베이직 (디지털) 9
10.5%
HD이코노미(디지털) 8
 
9.3%
실속형(디지털알뜰형)/ HD이코노미(디지털) 6
 
7.0%
가족형 (iTV 채널), HD 베이직 (디지털 패키지1) 5
 
5.8%
B tv 알뜰90/플러스 고급팩(8VSB) / B tv 알뜰200(디지털 HD) 5
 
5.8%
프라임형(디지털방송) 4
 
4.7%
B tv 알뜰 20(8VSB) / B tv 알뜰200(디지털 HD) 4
 
4.7%
묶음2보급(아날로그), 묶음2알뜰보급(알뜰형HD), Economy(디지털) 3
 
3.5%
Other values (19) 22
25.6%

Length

2023-12-16T15:41:45.333061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tv 29
 
10.2%
b 28
 
9.9%
hd 27
 
9.5%
알뜰200(디지털 19
 
6.7%
디지털 19
 
6.7%
hd이코노미(디지털 15
 
5.3%
가족형 14
 
4.9%
베이직 14
 
4.9%
11
 
3.9%
standard(디지털 10
 
3.5%
Other values (39) 97
34.3%

Interactions

2023-12-16T15:41:29.958853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:41:29.112604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:41:30.362630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:41:29.376673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:41:45.620798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역시군구방송사명채널번호(Analogue)채널번호(8VSB)채널번호(Digital)상품명
지역1.0000.9971.0000.8770.5750.7330.908
시군구0.9971.0000.9951.0000.9731.0000.993
방송사명1.0000.9951.0001.0001.0001.0000.000
채널번호(Analogue)0.8771.0001.0001.0001.000NaN0.704
채널번호(8VSB)0.5750.9731.0001.0001.0000.3980.954
채널번호(Digital)0.7331.0001.000NaN0.3981.0000.997
상품명0.9080.9930.0000.7040.9540.9971.000
2023-12-16T15:41:46.139648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널번호(8VSB)지역상품명
채널번호(8VSB)1.0000.2040.598
지역0.2041.0000.481
상품명0.5980.4811.000
2023-12-16T15:41:46.536328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널번호(Analogue)채널번호(Digital)지역채널번호(8VSB)상품명
채널번호(Analogue)1.000NaN0.3550.9130.136
채널번호(Digital)NaN1.0000.3830.2800.746
지역0.3550.3831.0000.2040.481
채널번호(8VSB)0.9130.2800.2041.0000.598
상품명0.1360.7460.4810.5981.000

Missing values

2023-12-16T15:41:30.963356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:41:31.536652image/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

지역시군구방송사명채널번호(Analogue)채널번호(8VSB)채널번호(Digital)상품명
0서울영등포구(주)씨엠비영등포방송<NA>90-2181가족형 (8VSB) 베이직 (디지털)
1서울동대문구(주)씨엠비동대문방송<NA>90-2181가족형 (8VSB) 베이직 (디지털)
2서울관악구(주)현대에이치씨엔<NA>56-1440훼밀리플러스형(뉴HD방송)/프라임형(디지털방송)
3서울동작구(주)현대에이치씨엔동작<NA>440프라임형(디지털방송)
4서울서초구(주)현대에이치씨엔서초<NA>47-1440훼밀리형(뉴HD방송)/프라임형(디지털방송)
5서울은평구LG헬로비전 은평방송<NA>309Standard(디지털)
6서울강서구SK브로드밴드 강서<NA>74-1200B tv 알뜰90/플러스 고급팩(8VSB) / B tv 알뜰200(디지털 HD)
7서울동대문구SK브로드밴드 동대문<NA>200B tv 알뜰200(디지털 HD)
8서울노원구SK브로드밴드 노원방송<NA>71-1200B tv 알뜰 20(8VSB) / B tv 알뜰200(디지털 HD)
9서울도봉, 강북구SK브로드밴드 도봉강북<NA>71-1200B tv 알뜰 20(8VSB) / B tv 알뜰200(디지털 HD)
지역시군구방송사명채널번호(Analogue)채널번호(8VSB)채널번호(Digital)상품명
76전남나주, 화순, 보성, 장성, 영광, 함평, 곡성, 구례, 담양(주)씨엠비 전남<NA>90-2181가족형 (8VSB) 베이직 (디지털)
77경북포항, 울릉, 영덕, 울진(주)현대에이치씨엔경북<NA>440프라임형(디지털방송)
78경북구미, 김천, 상주, 칠곡, 성주, 고령, 군위(주)현대에이치씨엔 새로넷<NA>440프라임형(디지털방송)
79경북안동, 영주, 예천, 의성, 봉화, 문경, 청송, 영양LG헬로비전 영남방송6161-1309묶음3경제(아날로그)/묶음2알뜰가족(알뜰형HD)/Economy(디지털)
80경북경주, 영천, 경산, 청도LG헬로비전 신라방송5454-1309묶음3경제(아날로그)/묶음2알뜰보급(알뜰형HD)/Economy(디지털)
81경남진주, 사천, 남해, 하동, 산청, 함양서경방송(HD)<NA>212실속형
82경남창원(의창구, 성산구, 진해구), 함안, 의령군LG헬로비전 경남방송<NA>309Standard(디지털)
83경남김해, 밀양, 양산, 창녕, 합천, 거창LG헬로비전 가야방송6161-1309묶음2보급(아날로그), 묶음2알뜰보급(알뜰형HD), Economy(디지털)
84경남창원(마산합포구, 마산회원구), 통영, 거제, 고성LG헬로비전 마산방송<NA>309Standard(디지털)
85제주제주, 서귀포제주방송<NA>90-1353HD 120 (스마트TV상품) HD 60 (케이블 TV상품)