Overview

Dataset statistics

Number of variables8
Number of observations161
Missing cells451
Missing cells (%)35.0%
Duplicate rows2
Duplicate rows (%)1.2%
Total size in memory10.2 KiB
Average record size in memory64.8 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description경상남도 진주시 관내의 등록된 업론매체 현황(대분류, 중분류, 소분류, 매체명, 소재기 도로명주소, 소재지 지번주소, 매체 전화번호, 데이터기준일자)자료입니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15116764

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 2 (1.2%) duplicate rowsDuplicates
소분류 is highly overall correlated with 대분류 and 1 other fieldsHigh correlation
대분류 is highly overall correlated with 중분류 and 1 other fieldsHigh correlation
중분류 is highly overall correlated with 대분류 and 1 other fieldsHigh correlation
매체명 has 87 (54.0%) missing valuesMissing
소재지 도로명주소 has 87 (54.0%) missing valuesMissing
소재지 지번주소 has 87 (54.0%) missing valuesMissing
매체 전화번호 has 103 (64.0%) missing valuesMissing
데이터기준일자 has 87 (54.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:55:26.928631
Analysis finished2023-12-10 22:55:28.049096
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대분류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
신문사
93 
<NA>
55 
방송사
11 
* 대ㆍ중ㆍ소 분류기준
 
1
대분류
 
1

Length

Max length12
Median length3
Mean length3.3975155
Min length3

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row방송사
2nd row방송사
3rd row방송사
4th row신문사
5th row신문사

Common Values

ValueCountFrequency (%)
신문사 93
57.8%
<NA> 55
34.2%
방송사 11
 
6.8%
* 대ㆍ중ㆍ소 분류기준 1
 
0.6%
대분류 1
 
0.6%

Length

2023-12-11T07:55:28.129779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:55:28.260867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신문사 93
57.1%
na 55
33.7%
방송사 11
 
6.7%
1
 
0.6%
대ㆍ중ㆍ소 1
 
0.6%
분류기준 1
 
0.6%
대분류 1
 
0.6%

중분류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
72 
인터넷신문
35 
기타
33 
지상파방송
 
5
일간신문
 
5
Other values (5)
11 

Length

Max length6
Median length5
Mean length3.9192547
Min length2

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row지상파방송
2nd row지상파방송
3rd row유선방송
4th row일간신문
5th row일간신문

Common Values

ValueCountFrequency (%)
<NA> 72
44.7%
인터넷신문 35
21.7%
기타 33
20.5%
지상파방송 5
 
3.1%
일간신문 5
 
3.1%
일반주간신문 4
 
2.5%
특수주간신문 3
 
1.9%
유선방송 2
 
1.2%
중분류 1
 
0.6%
주간신문 1
 
0.6%

Length

2023-12-11T07:55:28.395295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:55:28.521020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
44.7%
인터넷신문 35
21.7%
기타 33
20.5%
지상파방송 5
 
3.1%
일간신문 5
 
3.1%
일반주간신문 4
 
2.5%
특수주간신문 3
 
1.9%
유선방송 2
 
1.2%
중분류 1
 
0.6%
주간신문 1
 
0.6%

소분류
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
72 
인터넷신문
35 
잡지
17 
기타간행물
 
7
일간신문
 
5
Other values (13)
25 

Length

Max length9
Median length4
Mean length4.1180124
Min length2

Unique

Unique8 ?
Unique (%)5.0%

Sample

1st rowTV
2nd rowTV
3rd row케이블TV
4th row일간신문
5th row일간신문

Common Values

ValueCountFrequency (%)
<NA> 72
44.7%
인터넷신문 35
21.7%
잡지 17
 
10.6%
기타간행물 7
 
4.3%
일간신문 5
 
3.1%
주간신문 5
 
3.1%
정보간행물 4
 
2.5%
TV 3
 
1.9%
특수주간신문 3
 
1.9%
케이블TV 2
 
1.2%
Other values (8) 8
 
5.0%

Length

2023-12-11T07:55:28.655946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 72
44.7%
인터넷신문 35
21.7%
잡지 17
 
10.6%
기타간행물 7
 
4.3%
일간신문 5
 
3.1%
주간신문 5
 
3.1%
정보간행물 4
 
2.5%
tv 3
 
1.9%
특수주간신문 3
 
1.9%
케이블tv 2
 
1.2%
Other values (8) 8
 
5.0%

매체명
Text

MISSING 

Distinct67
Distinct (%)90.5%
Missing87
Missing (%)54.0%
Memory size1.4 KiB
2023-12-11T07:55:28.869898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.8513514
Min length2

Characters and Unicode

Total characters433
Distinct characters161
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)81.1%

Sample

1st rowKBS진주
2nd rowMBC경남
3rd row서경방송
4th row경남일보
5th row뉴스경남
ValueCountFrequency (%)
경남일보 2
 
2.4%
계간 2
 
2.4%
경남연합신문 2
 
2.4%
경남미디어 2
 
2.4%
진주신문 2
 
2.4%
미디어팜 2
 
2.4%
진주·사천 2
 
2.4%
가이드요 2
 
2.4%
한남일보 2
 
2.4%
경남 2
 
2.4%
Other values (65) 65
76.5%
2023-12-11T07:55:29.192206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 29
 
6.7%
남 27
 
6.2%
스 25
 
5.8%
뉴 17
 
3.9%
문 14
 
3.2%
주 12
 
2.8%
진 12
 
2.8%
11
 
2.5%
신 10
 
2.3%
디 8
 
1.8%
Other values (151) 268
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 381
88.0%
Uppercase Letter 19
 
4.4%
Space Separator 11
 
2.5%
Lowercase Letter 11
 
2.5%
Close Punctuation 3
 
0.7%
Open Punctuation 3
 
0.7%
Other Punctuation 2
 
0.5%
Decimal Number 2
 
0.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 29
 
7.6%
남 27
 
7.1%
스 25
 
6.6%
뉴 17
 
4.5%
문 14
 
3.7%
주 12
 
3.1%
진 12
 
3.1%
신 10
 
2.6%
디 8
 
2.1%
이 7
 
1.8%
Other values (124) 220
57.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
15.8%
N 2
10.5%
E 2
10.5%
B 2
10.5%
F 2
10.5%
L 2
10.5%
W 1
 
5.3%
T 1
 
5.3%
M 1
 
5.3%
C 1
 
5.3%
Other values (2) 2
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
o 2
18.2%
f 1
 
9.1%
a 1
 
9.1%
m 1
 
9.1%
r 1
 
9.1%
g 1
 
9.1%
n 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
86.4%
Latin 30
 
6.9%
Common 22
 
5.1%
Han 7
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 29
 
7.8%
남 27
 
7.2%
스 25
 
6.7%
뉴 17
 
4.5%
문 14
 
3.7%
주 12
 
3.2%
진 12
 
3.2%
신 10
 
2.7%
디 8
 
2.1%
이 7
 
1.9%
Other values (117) 213
57.0%
Latin
ValueCountFrequency (%)
e 3
 
10.0%
S 3
 
10.0%
N 2
 
6.7%
E 2
 
6.7%
B 2
 
6.7%
F 2
 
6.7%
o 2
 
6.7%
L 2
 
6.7%
W 1
 
3.3%
f 1
 
3.3%
Other values (10) 10
33.3%
Common
ValueCountFrequency (%)
11
50.0%
) 3
 
13.6%
( 3
 
13.6%
· 2
 
9.1%
1 1
 
4.5%
2 1
 
4.5%
- 1
 
4.5%
Han
ValueCountFrequency (%)
晋 1
14.3%
州 1
14.3%
評 1
14.3%
南 1
14.3%
論 1
14.3%
人 1
14.3%
慶 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
86.1%
ASCII 50
 
11.5%
CJK 7
 
1.6%
None 2
 
0.5%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 29
 
7.8%
남 27
 
7.2%
스 25
 
6.7%
뉴 17
 
4.6%
문 14
 
3.8%
주 12
 
3.2%
진 12
 
3.2%
신 10
 
2.7%
디 8
 
2.1%
이 7
 
1.9%
Other values (116) 212
56.8%
ASCII
ValueCountFrequency (%)
11
22.0%
e 3
 
6.0%
S 3
 
6.0%
) 3
 
6.0%
( 3
 
6.0%
N 2
 
4.0%
E 2
 
4.0%
B 2
 
4.0%
F 2
 
4.0%
o 2
 
4.0%
Other values (16) 17
34.0%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
晋 1
14.3%
州 1
14.3%
評 1
14.3%
南 1
14.3%
論 1
14.3%
人 1
14.3%
慶 1
14.3%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

소재지 도로명주소
Text

MISSING 

Distinct67
Distinct (%)90.5%
Missing87
Missing (%)54.0%
Memory size1.4 KiB
2023-12-11T07:55:29.446193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length28.378378
Min length18

Characters and Unicode

Total characters2100
Distinct characters143
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)81.1%

Sample

1st row경상남도 진주시 신안로 85(신안동)
2nd row경상남도 진주시 가호로 13(가좌동)
3rd row경상남도 진주시 진양호로 532(동성동)
4th row경상남도 진주시 남강로 1065 (상평동, 경상남도일보빌딩)
5th row경상남도 진주시 진양호로 459 (인사동)
ValueCountFrequency (%)
경상남도 74
 
17.5%
진주시 74
 
17.5%
2층 11
 
2.6%
충무공동 9
 
2.1%
진양호로 7
 
1.7%
칠암동 6
 
1.4%
12 6
 
1.4%
상대동 6
 
1.4%
남강로 6
 
1.4%
진주대로 6
 
1.4%
Other values (149) 218
51.5%
2023-12-11T07:55:29.818831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
16.7%
진 97
 
4.6%
남 90
 
4.3%
상 90
 
4.3%
동 88
 
4.2%
주 84
 
4.0%
1 82
 
3.9%
경 81
 
3.9%
도 76
 
3.6%
시 75
 
3.6%
Other values (133) 987
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1214
57.8%
Space Separator 350
 
16.7%
Decimal Number 336
 
16.0%
Close Punctuation 65
 
3.1%
Open Punctuation 65
 
3.1%
Other Punctuation 48
 
2.3%
Dash Punctuation 15
 
0.7%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 97
 
8.0%
남 90
 
7.4%
상 90
 
7.4%
동 88
 
7.2%
주 84
 
6.9%
경 81
 
6.7%
도 76
 
6.3%
시 75
 
6.2%
로 69
 
5.7%
층 28
 
2.3%
Other values (115) 436
35.9%
Decimal Number
ValueCountFrequency (%)
1 82
24.4%
2 42
12.5%
0 38
11.3%
5 37
11.0%
9 28
 
8.3%
4 27
 
8.0%
3 26
 
7.7%
6 25
 
7.4%
8 21
 
6.2%
7 10
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 5
71.4%
C 1
 
14.3%
B 1
 
14.3%
Space Separator
ValueCountFrequency (%)
350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1214
57.8%
Common 879
41.9%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 97
 
8.0%
남 90
 
7.4%
상 90
 
7.4%
동 88
 
7.2%
주 84
 
6.9%
경 81
 
6.7%
도 76
 
6.3%
시 75
 
6.2%
로 69
 
5.7%
층 28
 
2.3%
Other values (115) 436
35.9%
Common
ValueCountFrequency (%)
350
39.8%
1 82
 
9.3%
) 65
 
7.4%
( 65
 
7.4%
, 48
 
5.5%
2 42
 
4.8%
0 38
 
4.3%
5 37
 
4.2%
9 28
 
3.2%
4 27
 
3.1%
Other values (5) 97
 
11.0%
Latin
ValueCountFrequency (%)
A 5
71.4%
C 1
 
14.3%
B 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1214
57.8%
ASCII 886
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
39.5%
1 82
 
9.3%
) 65
 
7.3%
( 65
 
7.3%
, 48
 
5.4%
2 42
 
4.7%
0 38
 
4.3%
5 37
 
4.2%
9 28
 
3.2%
4 27
 
3.0%
Other values (8) 104
 
11.7%
Hangul
ValueCountFrequency (%)
진 97
 
8.0%
남 90
 
7.4%
상 90
 
7.4%
동 88
 
7.2%
주 84
 
6.9%
경 81
 
6.7%
도 76
 
6.3%
시 75
 
6.2%
로 69
 
5.7%
층 28
 
2.3%
Other values (115) 436
35.9%

소재지 지번주소
Text

MISSING 

Distinct59
Distinct (%)79.7%
Missing87
Missing (%)54.0%
Memory size1.4 KiB
2023-12-11T07:55:30.056006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length21
Min length16

Characters and Unicode

Total characters1554
Distinct characters126
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)66.2%

Sample

1st row경상남도 진주시 신안동 13-22 한국방송공사진주방송국
2nd row경상남도 진주시 가좌동 700-1 MBC경남진주
3rd row경상남도 진주시 동성동 9-9 진주저축은행
4th row경상남도 진주시 상평동 237-4,237-7
5th row경상남도 진주시 진양호로 141-7
ValueCountFrequency (%)
경상남도 74
22.7%
진주시 74
22.7%
충무공동 13
 
4.0%
상대동 9
 
2.8%
평거동 6
 
1.8%
칠암동 6
 
1.8%
신안동 5
 
1.5%
윙스타워 5
 
1.5%
69-3 5
 
1.5%
인사동 4
 
1.2%
Other values (97) 125
38.3%
2023-12-11T07:55:30.398700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
252
16.2%
상 88
 
5.7%
남 80
 
5.1%
진 80
 
5.1%
경 78
 
5.0%
주 78
 
5.0%
시 75
 
4.8%
도 74
 
4.8%
동 72
 
4.6%
- 68
 
4.4%
Other values (116) 609
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 934
60.1%
Decimal Number 292
 
18.8%
Space Separator 252
 
16.2%
Dash Punctuation 68
 
4.4%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 88
 
9.4%
남 80
 
8.6%
진 80
 
8.6%
경 78
 
8.4%
주 78
 
8.4%
시 75
 
8.0%
도 74
 
7.9%
동 72
 
7.7%
대 18
 
1.9%
공 17
 
1.8%
Other values (99) 274
29.3%
Decimal Number
ValueCountFrequency (%)
1 68
23.3%
2 37
12.7%
7 30
10.3%
3 30
10.3%
4 28
9.6%
0 24
 
8.2%
9 22
 
7.5%
6 20
 
6.8%
5 20
 
6.8%
8 13
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
M 1
33.3%
B 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 936
60.2%
Common 615
39.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 88
 
9.4%
남 80
 
8.5%
진 80
 
8.5%
경 78
 
8.3%
주 78
 
8.3%
시 75
 
8.0%
도 74
 
7.9%
동 72
 
7.7%
대 18
 
1.9%
공 17
 
1.8%
Other values (100) 276
29.5%
Common
ValueCountFrequency (%)
252
41.0%
- 68
 
11.1%
1 68
 
11.1%
2 37
 
6.0%
7 30
 
4.9%
3 30
 
4.9%
4 28
 
4.6%
0 24
 
3.9%
9 22
 
3.6%
6 20
 
3.3%
Other values (3) 36
 
5.9%
Latin
ValueCountFrequency (%)
M 1
33.3%
B 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 934
60.1%
ASCII 618
39.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
252
40.8%
- 68
 
11.0%
1 68
 
11.0%
2 37
 
6.0%
7 30
 
4.9%
3 30
 
4.9%
4 28
 
4.5%
0 24
 
3.9%
9 22
 
3.6%
6 20
 
3.2%
Other values (6) 39
 
6.3%
Hangul
ValueCountFrequency (%)
상 88
 
9.4%
남 80
 
8.6%
진 80
 
8.6%
경 78
 
8.4%
주 78
 
8.4%
시 75
 
8.0%
도 74
 
7.9%
동 72
 
7.7%
대 18
 
1.9%
공 17
 
1.8%
Other values (99) 274
29.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

매체 전화번호
Text

MISSING 

Distinct51
Distinct (%)87.9%
Missing103
Missing (%)64.0%
Memory size1.4 KiB
2023-12-11T07:55:30.598651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.051724
Min length12

Characters and Unicode

Total characters699
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 (%)75.9%

Sample

1st row055-740-7199
2nd row055-771-2310
3rd row055-740-3001
4th row055-751-1000
5th row055-744-2300
ValueCountFrequency (%)
055-762-7800 2
 
3.4%
055-761-3347 2
 
3.4%
055-792-0314 2
 
3.4%
055-634-5004 2
 
3.4%
055-751-1000 2
 
3.4%
055-743-9500 2
 
3.4%
055-761-8200 2
 
3.4%
055-740-7199 1
 
1.7%
055-920-9297 1
 
1.7%
055-761-3620 1
 
1.7%
Other values (41) 41
70.7%
2023-12-11T07:55:30.892753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 141
20.2%
0 131
18.7%
- 116
16.6%
7 84
12.0%
4 46
 
6.6%
2 35
 
5.0%
6 33
 
4.7%
1 33
 
4.7%
8 29
 
4.1%
3 27
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 583
83.4%
Dash Punctuation 116
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 141
24.2%
0 131
22.5%
7 84
14.4%
4 46
 
7.9%
2 35
 
6.0%
6 33
 
5.7%
1 33
 
5.7%
8 29
 
5.0%
3 27
 
4.6%
9 24
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 699
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 141
20.2%
0 131
18.7%
- 116
16.6%
7 84
12.0%
4 46
 
6.6%
2 35
 
5.0%
6 33
 
4.7%
1 33
 
4.7%
8 29
 
4.1%
3 27
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 699
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 141
20.2%
0 131
18.7%
- 116
16.6%
7 84
12.0%
4 46
 
6.6%
2 35
 
5.0%
6 33
 
4.7%
1 33
 
4.7%
8 29
 
4.1%
3 27
 
3.9%

데이터기준일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing87
Missing (%)54.0%
Memory size1.4 KiB
Minimum2023-07-18 00:00:00
Maximum2023-07-18 00:00:00
2023-12-11T07:55:30.990505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:55:31.078459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-11T07:55:31.139091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류소분류매체명소재지 도로명주소소재지 지번주소매체 전화번호
대분류1.0000.9921.0001.0001.0001.0001.000
중분류0.9921.0000.9850.0000.0000.8010.768
소분류1.0000.9851.0000.0000.0000.8020.740
매체명1.0000.0000.0001.0001.0000.9991.000
소재지 도로명주소1.0000.0000.0001.0001.0000.9991.000
소재지 지번주소1.0000.8010.8020.9990.9991.0000.999
매체 전화번호1.0000.7680.7401.0001.0000.9991.000
2023-12-11T07:55:31.224197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소분류대분류중분류
소분류1.0000.9150.873
대분류0.9151.0000.862
중분류0.8730.8621.000
2023-12-11T07:55:31.293919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류소분류
대분류1.0000.8620.915
중분류0.8621.0000.873
소분류0.9150.8731.000

Missing values

2023-12-11T07:55:27.697174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:55:27.815709image/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.
2023-12-11T07:55:27.937106image/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

대분류중분류소분류매체명소재지 도로명주소소재지 지번주소매체 전화번호데이터기준일자
0방송사지상파방송TVKBS진주경상남도 진주시 신안로 85(신안동)경상남도 진주시 신안동 13-22 한국방송공사진주방송국055-740-71992023-07-18
1방송사지상파방송TVMBC경남경상남도 진주시 가호로 13(가좌동)경상남도 진주시 가좌동 700-1 MBC경남진주055-771-23102023-07-18
2방송사유선방송케이블TV서경방송경상남도 진주시 진양호로 532(동성동)경상남도 진주시 동성동 9-9 진주저축은행055-740-30012023-07-18
3신문사일간신문일간신문경남일보경상남도 진주시 남강로 1065 (상평동, 경상남도일보빌딩)경상남도 진주시 상평동 237-4,237-7055-751-10002023-07-18
4신문사일간신문일간신문뉴스경남경상남도 진주시 진양호로 459 (인사동)경상남도 진주시 진양호로 141-7055-744-23002023-07-18
5신문사일간신문일간신문한남일보경상남도 진주시 진양호로 459, 2층 (인사동)경상남도 진주시 인사동 141-7055-634-50042023-07-18
6신문사일간신문일간신문경남도민신문경상남도 진주시 에나로 85, 2층경상남도 진주시 충무공동 31-10 씨아이씨라이프㈜055-757-10002023-07-18
7신문사일반주간신문주간신문경남연합신문경상남도 진주시 망경로305번길 3 (강남동)경상남도 진주시 강남동 117-11055-762-78002023-07-18
8신문사일반주간신문주간신문경남누리신문경상남도 진주시 진양호로 125, 지하1층 (평거동)경상남도 진주시 평거동 733-2055-747-25852023-07-18
9신문사일반주간신문주간신문경남미디어경상남도 진주시 진주대로 988, 4층 (칠암동)경상남도 진주시 칠암동 496-5055-761-33472023-07-18
대분류중분류소분류매체명소재지 도로명주소소재지 지번주소매체 전화번호데이터기준일자
151방송사기타위성방송<NA><NA><NA><NA><NA>
152방송사기타IPTV<NA><NA><NA><NA><NA>
153방송사기타IPTV콘텐츠제공<NA><NA><NA><NA><NA>
154방송사기타전광판방송<NA><NA><NA><NA><NA>
155신문사일간신문일간신문<NA><NA><NA><NA><NA>
156신문사주간신문주간신문<NA><NA><NA><NA><NA>
157신문사인터넷신문인터넷신문<NA><NA><NA><NA><NA>
158신문사기타뉴스통신<NA><NA><NA><NA><NA>
159신문사기타잡지<NA><NA><NA><NA><NA>
160신문사기타기타간행물<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

대분류중분류소분류매체명소재지 도로명주소소재지 지번주소매체 전화번호데이터기준일자# duplicates
1<NA><NA><NA><NA><NA><NA><NA><NA>55
0신문사<NA><NA><NA><NA><NA><NA><NA>16