Overview

Dataset statistics

Number of variables8
Number of observations161
Missing cells364
Missing cells (%)28.3%
Duplicate rows2
Duplicate rows (%)1.2%
Total size in memory10.2 KiB
Average record size in memory64.8 B

Variable types

Categorical4
Text4

Dataset

Description경상남도 진주시 관내의 등록된 업론매체 현황(대분류, 중분류, 소분류, 매체명, 소재기 도로명주소, 소재지 지번주소, 매체 전화번호, 데이터기준일자)자료입니다. 진주시 기본통계의 수치화된 통계자료를 세부내역 형태로 개방한 자료입니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15116764/fileData.do

Alerts

Dataset has 2 (1.2%) duplicate rowsDuplicates
데이터기준일자 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
소분류 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
중분류 is highly overall correlated with 대분류 and 2 other fieldsHigh correlation
대분류 is highly overall correlated with 중분류 and 2 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

Reproduction

Analysis started2024-04-21 03:30:29.303786
Analysis finished2024-04-21 03:30:31.350166
Duration2.05 seconds
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

2024-04-21T12:30:31.460836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:30:31.650391image/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

2024-04-21T12:30:31.871486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:30:32.103294image/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

2024-04-21T12:30:32.357306image/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
2024-04-21T12:30:33.207860image/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%
2024-04-21T12:30:34.283908image/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
2024-04-21T12:30:35.300886image/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%
2024-04-21T12:30:36.563225image/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
2024-04-21T12:30:37.481589image/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%
2024-04-21T12:30:38.633811image/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
2024-04-21T12:30:39.421567image/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%
2024-04-21T12:30:40.421035image/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
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
87 
2023-07-18
74 

Length

Max length10
Median length4
Mean length6.757764
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-18
2nd row2023-07-18
3rd row2023-07-18
4th row2023-07-18
5th row2023-07-18

Common Values

ValueCountFrequency (%)
<NA> 87
54.0%
2023-07-18 74
46.0%

Length

2024-04-21T12:30:40.675765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:30:40.856079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
54.0%
2023-07-18 74
46.0%

Correlations

2024-04-21T12:30:40.980747image/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
2024-04-21T12:30:41.164526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터기준일자소분류중분류대분류
데이터기준일자1.0001.0001.0001.000
소분류1.0001.0000.8730.915
중분류1.0000.8731.0000.862
대분류1.0000.9150.8621.000
2024-04-21T12:30:41.323794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대분류중분류소분류데이터기준일자
대분류1.0000.8620.9151.000
중분류0.8621.0000.8731.000
소분류0.9150.8731.0001.000
데이터기준일자1.0001.0001.0001.000

Missing values

2024-04-21T12:30:30.526735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T12:30:30.751106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-04-21T12:30:31.184733image/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