Overview

Dataset statistics

Number of variables5
Number of observations90
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory41.4 B

Variable types

Categorical2
Text3

Dataset

Description2023년 8월 18일 기준 종합유선방송사업자 현황 입니다. 해당 데이터가 보유한 컬럼은 다음과 같습니다. 컬럼명 : MSO명, 법인명, SO명, 방송구역
Author공공데이터포털
URLhttps://www.data.go.kr/data/15077513/fileData.do

Alerts

복수종합유선방송사업자명(MSO명) is highly overall correlated with 법인명High correlation
법인명 is highly overall correlated with 복수종합유선방송사업자명(MSO명)High correlation
종합유선방송사업자명(SO명) has unique valuesUnique

Reproduction

Analysis started2024-04-21 09:59:15.655109
Analysis finished2024-04-21 09:59:16.799081
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

복수종합유선방송사업자명(MSO명)
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size848.0 B
에스케이브로드밴드
23 
엘지헬로비전
23 
딜라이브
16 
씨엠비
11 
개별 SO

Length

Max length9
Median length6
Mean length5.6777778
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
에스케이브로드밴드 23
25.6%
엘지헬로비전 23
25.6%
딜라이브 16
17.8%
씨엠비 11
12.2%
개별 SO 9
 
10.0%
HCN 8
 
8.9%

Length

2024-04-21T18:59:17.036984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T18:59:17.402841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
에스케이브로드밴드 23
23.2%
엘지헬로비전 23
23.2%
딜라이브 16
16.2%
씨엠비 11
11.1%
개별 9
 
9.1%
so 9
 
9.1%
hcn 8
 
8.1%

법인명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size848.0 B
에스케이브로드밴드㈜
23 
㈜엘지헬로비전
23 
㈜딜라이브
14 
㈜씨엠비
11 
㈜HCN
Other values (11)
11 

Length

Max length15
Median length13
Mean length7.1333333
Min length4

Unique

Unique11 ?
Unique (%)12.2%

Sample

1st row㈜HCN
2nd row㈜HCN
3rd row㈜HCN
4th row㈜HCN
5th row㈜HCN

Common Values

ValueCountFrequency (%)
에스케이브로드밴드㈜ 23
25.6%
㈜엘지헬로비전 23
25.6%
㈜딜라이브 14
15.6%
㈜씨엠비 11
12.2%
㈜HCN 8
 
8.9%
JCN울산중앙방송㈜ 1
 
1.1%
금강방송㈜ 1
 
1.1%
남인천방송㈜ 1
 
1.1%
㈜KCTV광주방송 1
 
1.1%
㈜서경방송 1
 
1.1%
Other values (6) 6
 
6.7%

Length

2024-04-21T18:59:17.833420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에스케이브로드밴드㈜ 23
25.3%
㈜엘지헬로비전 23
25.3%
㈜딜라이브 14
15.4%
㈜씨엠비 11
12.1%
㈜hcn 8
 
8.8%
충북방송 1
 
1.1%
㈜딜라이브강남케이블티브이 1
 
1.1%
한국케이블tv푸른방송㈜ 1
 
1.1%
㈜케이씨티브이제주방송 1
 
1.1%
㈜아름방송네트워크 1
 
1.1%
Other values (7) 7
 
7.7%
Distinct90
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T18:59:18.777626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length11.855556
Min length4

Characters and Unicode

Total characters1067
Distinct characters105
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

Unique90 ?
Unique (%)100.0%

Sample

1st row㈜HCN
2nd row㈜HCN경북방송
3rd row㈜HCN금호방송
4th row㈜HCN동작방송
5th row㈜HCN부산방송
ValueCountFrequency (%)
에스케이브로드밴드㈜ 23
 
18.1%
㈜딜라이브 14
 
11.0%
동남방송 1
 
0.8%
종로중구방송 1
 
0.8%
전주방송 1
 
0.8%
수원방송 1
 
0.8%
세종방송 1
 
0.8%
서해방송 1
 
0.8%
서부산방송 1
 
0.8%
서대문방송 1
 
0.8%
Other values (82) 82
64.6%
2024-04-21T18:59:20.191046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
8.4%
73
 
6.8%
72
 
6.7%
72
 
6.7%
55
 
5.2%
49
 
4.6%
46
 
4.3%
40
 
3.7%
37
 
3.5%
34
 
3.2%
Other values (95) 499
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 903
84.6%
Other Symbol 90
 
8.4%
Space Separator 37
 
3.5%
Uppercase Letter 36
 
3.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
8.1%
72
 
8.0%
72
 
8.0%
55
 
6.1%
49
 
5.4%
46
 
5.1%
40
 
4.4%
34
 
3.8%
27
 
3.0%
24
 
2.7%
Other values (83) 411
45.5%
Uppercase Letter
ValueCountFrequency (%)
C 11
30.6%
N 9
25.0%
H 8
22.2%
T 2
 
5.6%
V 2
 
5.6%
A 1
 
2.8%
B 1
 
2.8%
K 1
 
2.8%
J 1
 
2.8%
Other Symbol
ValueCountFrequency (%)
90
100.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 993
93.1%
Common 38
 
3.6%
Latin 36
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
90
 
9.1%
73
 
7.4%
72
 
7.3%
72
 
7.3%
55
 
5.5%
49
 
4.9%
46
 
4.6%
40
 
4.0%
34
 
3.4%
27
 
2.7%
Other values (84) 435
43.8%
Latin
ValueCountFrequency (%)
C 11
30.6%
N 9
25.0%
H 8
22.2%
T 2
 
5.6%
V 2
 
5.6%
A 1
 
2.8%
B 1
 
2.8%
K 1
 
2.8%
J 1
 
2.8%
Common
ValueCountFrequency (%)
37
97.4%
/ 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 903
84.6%
None 90
 
8.4%
ASCII 74
 
6.9%

Most frequent character per block

None
ValueCountFrequency (%)
90
100.0%
Hangul
ValueCountFrequency (%)
73
 
8.1%
72
 
8.0%
72
 
8.0%
55
 
6.1%
49
 
5.4%
46
 
5.1%
40
 
4.4%
34
 
3.8%
27
 
3.0%
24
 
2.7%
Other values (83) 411
45.5%
ASCII
ValueCountFrequency (%)
37
50.0%
C 11
 
14.9%
N 9
 
12.2%
H 8
 
10.8%
T 2
 
2.7%
V 2
 
2.7%
A 1
 
1.4%
B 1
 
1.4%
/ 1
 
1.4%
K 1
 
1.4%
Distinct79
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T18:59:20.786006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length11.422222
Min length2

Characters and Unicode

Total characters1028
Distinct characters135
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)75.6%

Sample

1st row서울 관악구
2nd row경북 포항,울릉,영덕,울진
3rd row대구 북구
4th row서울 동작구
5th row부산 동래구,연제구
ValueCountFrequency (%)
서울 26
 
14.7%
경기 11
 
6.2%
대구 9
 
5.1%
부산 8
 
4.5%
인천 5
 
2.8%
경북 4
 
2.3%
경남 4
 
2.3%
충남 3
 
1.7%
전남 3
 
1.7%
강원 3
 
1.7%
Other values (83) 101
57.1%
2024-04-21T18:59:21.605722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 167
 
16.2%
101
 
9.8%
87
 
8.5%
41
 
4.0%
30
 
2.9%
30
 
2.9%
28
 
2.7%
26
 
2.5%
25
 
2.4%
22
 
2.1%
Other values (125) 471
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 771
75.0%
Other Punctuation 170
 
16.5%
Space Separator 87
 
8.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
101
 
13.1%
41
 
5.3%
30
 
3.9%
30
 
3.9%
28
 
3.6%
26
 
3.4%
25
 
3.2%
22
 
2.9%
22
 
2.9%
22
 
2.9%
Other values (122) 424
55.0%
Other Punctuation
ValueCountFrequency (%)
, 167
98.2%
· 3
 
1.8%
Space Separator
ValueCountFrequency (%)
87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 771
75.0%
Common 257
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
101
 
13.1%
41
 
5.3%
30
 
3.9%
30
 
3.9%
28
 
3.6%
26
 
3.4%
25
 
3.2%
22
 
2.9%
22
 
2.9%
22
 
2.9%
Other values (122) 424
55.0%
Common
ValueCountFrequency (%)
, 167
65.0%
87
33.9%
· 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 771
75.0%
ASCII 254
 
24.7%
None 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 167
65.7%
87
34.3%
Hangul
ValueCountFrequency (%)
101
 
13.1%
41
 
5.3%
30
 
3.9%
30
 
3.9%
28
 
3.6%
26
 
3.4%
25
 
3.2%
22
 
2.9%
22
 
2.9%
22
 
2.9%
Other values (122) 424
55.0%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct46
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size848.0 B
2024-04-21T18:59:22.423740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1080
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)48.9%

Sample

1st row537-87-01822
2nd row204-85-31039
3rd row217-85-24679
4th row330-85-01514
5th row387-85-01432
ValueCountFrequency (%)
117-81-13423 23
25.6%
214-86-18758 23
25.6%
126-81-70277 1
 
1.1%
516-85-00889 1
 
1.1%
707-85-01126 1
 
1.1%
106-85-27527 1
 
1.1%
215-85-22224 1
 
1.1%
106-85-27546 1
 
1.1%
127-85-46313 1
 
1.1%
204-85-16192 1
 
1.1%
Other values (36) 36
40.0%
2024-04-21T18:59:23.326834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 213
19.7%
- 180
16.7%
8 154
14.3%
2 91
8.4%
3 81
 
7.5%
5 80
 
7.4%
7 75
 
6.9%
4 73
 
6.8%
6 59
 
5.5%
0 51
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 900
83.3%
Dash Punctuation 180
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 213
23.7%
8 154
17.1%
2 91
10.1%
3 81
 
9.0%
5 80
 
8.9%
7 75
 
8.3%
4 73
 
8.1%
6 59
 
6.6%
0 51
 
5.7%
9 23
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 213
19.7%
- 180
16.7%
8 154
14.3%
2 91
8.4%
3 81
 
7.5%
5 80
 
7.4%
7 75
 
6.9%
4 73
 
6.8%
6 59
 
5.5%
0 51
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 213
19.7%
- 180
16.7%
8 154
14.3%
2 91
8.4%
3 81
 
7.5%
5 80
 
7.4%
7 75
 
6.9%
4 73
 
6.8%
6 59
 
5.5%
0 51
 
4.7%

Correlations

2024-04-21T18:59:23.487382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복수종합유선방송사업자명(MSO명)법인명종합유선방송사업자명(SO명)방송구역사업자등록번호
복수종합유선방송사업자명(MSO명)1.0001.0001.0000.0001.000
법인명1.0001.0001.0000.8731.000
종합유선방송사업자명(SO명)1.0001.0001.0001.0001.000
방송구역0.0000.8731.0001.0000.000
사업자등록번호1.0001.0001.0000.0001.000
2024-04-21T18:59:23.657665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복수종합유선방송사업자명(MSO명)법인명
복수종합유선방송사업자명(MSO명)1.0000.939
법인명0.9391.000
2024-04-21T18:59:23.796176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복수종합유선방송사업자명(MSO명)법인명
복수종합유선방송사업자명(MSO명)1.0000.939
법인명0.9391.000

Missing values

2024-04-21T18:59:16.344645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T18:59:16.669006image/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

복수종합유선방송사업자명(MSO명)법인명종합유선방송사업자명(SO명)방송구역사업자등록번호
0HCN㈜HCN㈜HCN서울 관악구537-87-01822
1HCN㈜HCN㈜HCN경북방송경북 포항,울릉,영덕,울진204-85-31039
2HCN㈜HCN㈜HCN금호방송대구 북구217-85-24679
3HCN㈜HCN㈜HCN동작방송서울 동작구330-85-01514
4HCN㈜HCN㈜HCN부산방송부산 동래구,연제구387-85-01432
5HCN㈜HCN㈜HCN새로넷방송경북 구미,김천,칠곡,성주,상주,고령,군위635-85-01516
6HCN㈜HCN㈜HCN서초방송서울 서초구672-85-01515
7HCN㈜HCN㈜HCN충북방송충북 청주,청원,영동,옥천,보은111-85-12628
8개별 SOJCN울산중앙방송㈜JCN울산중앙방송㈜울산 중구,남구,동구,북구,울주610-81-41694
9개별 SO금강방송㈜금강방송㈜전북 익산,군산403-81-15491
복수종합유선방송사업자명(MSO명)법인명종합유선방송사업자명(SO명)방송구역사업자등록번호
80엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전영남방송경북 안동,영주,문경,예천,의성,봉화,청송,영양117-81-13423
81엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전영동방송강원 강릉,동해,삼척,속초,양양,고성,태백117-81-13423
82엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전영서방송강원 원주,횡성,영월,평창,정선117-81-13423
83엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전은평방송서울 은평구117-81-13423
84엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전전북방송전북 김제,정읍,고창,부안,남원,임실,순창117-81-13423
85엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전중부산방송부산 중구,동구,영도구117-81-13423
86엘지헬로비전㈜엘지헬로비전㈜엘지헬로비전중앙방송부산 부산진구117-81-13423
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