Overview

Dataset statistics

Number of variables5
Number of observations426
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory40.3 B

Variable types

Categorical2
Text2
DateTime1

Dataset

Description전라남도 시군에 등록된 미디어 간행물 등록 현황을 통해 제호, 종별 등에 관한 데이터를 조회하실 수 있게 제공하고 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/3036039/fileData.do

Alerts

기관명 has constant value ""Constant
종별 is highly imbalanced (58.0%)Imbalance

Reproduction

Analysis started2023-12-12 12:39:02.872303
Analysis finished2023-12-12 12:39:03.246065
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
전남
426 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전남 426
100.0%

Length

2023-12-12T21:39:03.308154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:39:03.451734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전남 426
100.0%

등록번호
Text

Distinct414
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T21:39:03.774099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.9366197
Min length2

Characters and Unicode

Total characters2529
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)94.4%

Sample

1st row다00004
2nd row다00049
3rd row다00007
4th row다00005
5th row다00011
ValueCountFrequency (%)
아00307 2
 
0.5%
아00312 2
 
0.5%
아00293 2
 
0.5%
아00296 2
 
0.5%
아00295 2
 
0.5%
아00294 2
 
0.5%
아00310 2
 
0.5%
아00301 2
 
0.5%
아00291 2
 
0.5%
아00290 2
 
0.5%
Other values (404) 406
95.3%
2023-12-12T21:39:04.245550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 958
37.9%
아 298
 
11.8%
3 223
 
8.8%
4 215
 
8.5%
1 153
 
6.0%
2 138
 
5.5%
다 121
 
4.8%
9 93
 
3.7%
7 84
 
3.3%
5 81
 
3.2%
Other values (5) 165
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2102
83.1%
Other Letter 426
 
16.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 958
45.6%
3 223
 
10.6%
4 215
 
10.2%
1 153
 
7.3%
2 138
 
6.6%
9 93
 
4.4%
7 84
 
4.0%
5 81
 
3.9%
8 81
 
3.9%
6 76
 
3.6%
Other Letter
ValueCountFrequency (%)
아 298
70.0%
다 121
28.4%
자 4
 
0.9%
가 3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2103
83.2%
Hangul 426
 
16.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 958
45.6%
3 223
 
10.6%
4 215
 
10.2%
1 153
 
7.3%
2 138
 
6.6%
9 93
 
4.4%
7 84
 
4.0%
5 81
 
3.9%
8 81
 
3.9%
6 76
 
3.6%
Hangul
ValueCountFrequency (%)
아 298
70.0%
다 121
28.4%
자 4
 
0.9%
가 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2103
83.2%
Hangul 426
 
16.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 958
45.6%
3 223
 
10.6%
4 215
 
10.2%
1 153
 
7.3%
2 138
 
6.6%
9 93
 
4.4%
7 84
 
4.0%
5 81
 
3.9%
8 81
 
3.9%
6 76
 
3.6%
Hangul
ValueCountFrequency (%)
아 298
70.0%
다 121
28.4%
자 4
 
0.9%
가 3
 
0.7%

제호
Text

Distinct380
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T21:39:04.614097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length5.7276995
Min length3

Characters and Unicode

Total characters2440
Distinct characters289
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)78.4%

Sample

1st row해남신문
2nd row완도신문
3rd row여수신문
4th row화순군민신문
5th row예향진도신문
ValueCountFrequency (%)
투데이 3
 
0.6%
뉴스 3
 
0.6%
news 3
 
0.6%
코리아 3
 
0.6%
1 3
 
0.6%
국민복지신문 2
 
0.4%
함평소리 2
 
0.4%
장성시민연대 2
 
0.4%
낭주신문 2
 
0.4%
무안타임스 2
 
0.4%
Other values (395) 439
94.6%
2023-12-12T21:39:05.055671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 146
 
6.0%
스 146
 
6.0%
문 143
 
5.9%
뉴 130
 
5.3%
남 96
 
3.9%
전 54
 
2.2%
일 41
 
1.7%
도 41
 
1.7%
리 39
 
1.6%
38
 
1.6%
Other values (279) 1566
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2274
93.2%
Uppercase Letter 85
 
3.5%
Space Separator 38
 
1.6%
Decimal Number 18
 
0.7%
Lowercase Letter 14
 
0.6%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 146
 
6.4%
스 146
 
6.4%
문 143
 
6.3%
뉴 130
 
5.7%
남 96
 
4.2%
전 54
 
2.4%
일 41
 
1.8%
도 41
 
1.8%
리 39
 
1.7%
이 35
 
1.5%
Other values (244) 1403
61.7%
Uppercase Letter
ValueCountFrequency (%)
N 13
15.3%
T 10
11.8%
B 9
10.6%
V 8
9.4%
E 6
 
7.1%
S 6
 
7.1%
C 5
 
5.9%
W 5
 
5.9%
J 4
 
4.7%
I 3
 
3.5%
Other values (9) 16
18.8%
Lowercase Letter
ValueCountFrequency (%)
n 3
21.4%
i 3
21.4%
e 2
14.3%
w 2
14.3%
s 2
14.3%
b 1
 
7.1%
t 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
4 6
33.3%
1 5
27.8%
Other Punctuation
ValueCountFrequency (%)
· 1
33.3%
. 1
33.3%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2272
93.1%
Latin 99
 
4.1%
Common 67
 
2.7%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 146
 
6.4%
스 146
 
6.4%
문 143
 
6.3%
뉴 130
 
5.7%
남 96
 
4.2%
전 54
 
2.4%
일 41
 
1.8%
도 41
 
1.8%
리 39
 
1.7%
이 35
 
1.5%
Other values (243) 1401
61.7%
Latin
ValueCountFrequency (%)
N 13
13.1%
T 10
 
10.1%
B 9
 
9.1%
V 8
 
8.1%
E 6
 
6.1%
S 6
 
6.1%
C 5
 
5.1%
W 5
 
5.1%
J 4
 
4.0%
I 3
 
3.0%
Other values (16) 30
30.3%
Common
ValueCountFrequency (%)
38
56.7%
2 7
 
10.4%
4 6
 
9.0%
1 5
 
7.5%
) 4
 
6.0%
( 4
 
6.0%
· 1
 
1.5%
. 1
 
1.5%
& 1
 
1.5%
Han
ValueCountFrequency (%)
人 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2272
93.1%
ASCII 165
 
6.8%
CJK 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 146
 
6.4%
스 146
 
6.4%
문 143
 
6.3%
뉴 130
 
5.7%
남 96
 
4.2%
전 54
 
2.4%
일 41
 
1.8%
도 41
 
1.8%
리 39
 
1.7%
이 35
 
1.5%
Other values (243) 1401
61.7%
ASCII
ValueCountFrequency (%)
38
23.0%
N 13
 
7.9%
T 10
 
6.1%
B 9
 
5.5%
V 8
 
4.8%
2 7
 
4.2%
E 6
 
3.6%
4 6
 
3.6%
S 6
 
3.6%
1 5
 
3.0%
Other values (24) 57
34.5%
CJK
ValueCountFrequency (%)
人 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
인터넷신문
301 
일반주간신문
119 
일반일간신문
 
3
특수주간신문
 
2
인터넷뉴스서비스
 
1

Length

Max length8
Median length5
Mean length5.2981221
Min length5

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷신문 301
70.7%
일반주간신문 119
 
27.9%
일반일간신문 3
 
0.7%
특수주간신문 2
 
0.5%
인터넷뉴스서비스 1
 
0.2%

Length

2023-12-12T21:39:05.245496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:39:05.382813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷신문 301
70.7%
일반주간신문 119
 
27.9%
일반일간신문 3
 
0.7%
특수주간신문 2
 
0.5%
인터넷뉴스서비스 1
 
0.2%

등록일자
Date

Distinct363
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1989-12-27 00:00:00
Maximum2023-08-17 00:00:00
2023-12-12T21:39:05.538423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:39:05.704473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T21:39:03.062603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:39:03.203399image/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

기관명등록번호제호종별등록일자
0전남다00004해남신문일반주간신문1989-12-27
1전남다00049완도신문일반주간신문1990-06-01
2전남다00007여수신문일반주간신문1994-08-16
3전남다00005화순군민신문일반주간신문1996-08-05
4전남다00011예향진도신문일반주간신문1996-10-07
5전남다00075영광신문일반주간신문1997-02-06
6전남다00091함평신문일반주간신문1998-03-25
7전남다00100투데이전남NEWS일반주간신문1998-09-28
8전남다00101강진신문일반주간신문1998-10-12
9전남다00108목포 투데이일반주간신문1999-03-18
기관명등록번호제호종별등록일자
416전남아00490무안신문인터넷신문2023-06-27
417전남아00493나주튜브인터넷신문2023-07-11
418전남아00492탐방뉴스TV인터넷신문2023-07-11
419전남아00491팩트앤팩트인터넷신문2023-07-11
420전남아00494전남24뉴스인터넷신문2023-07-17
421전남다00439함평인톱뉴스일반주간신문2023-08-01
422전남아00495콘브리오인터넷신문2023-08-07
423전남아00496영광저널인터넷신문2023-08-10
424전남아00497쿠스타뉴스인터넷신문2023-08-16
425전남아00498전남비즈인터넷신문2023-08-17