Overview

Dataset statistics

Number of variables6
Number of observations901
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.2 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text2
Categorical2
DateTime1

Dataset

Description「신문 등의 진흥에 관한 법률」제9조 및「잡지 등 정기간행물의 진흥에 관한 법률」제15조 규정에 의거 등록된 정기간행물 현황 제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=401&beforeMenuCd=DOM_000000201001001000&publicdatapk=15017584

Alerts

기관명 has constant value ""Constant
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:24:21.145683
Analysis finished2024-01-09 21:24:21.828175
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct901
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451
Minimum1
Maximum901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2024-01-10T06:24:21.904677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46
Q1226
median451
Q3676
95-th percentile856
Maximum901
Range900
Interquartile range (IQR)450

Descriptive statistics

Standard deviation260.24059
Coefficient of variation (CV)0.57703014
Kurtosis-1.2
Mean451
Median Absolute Deviation (MAD)225
Skewness0
Sum406351
Variance67725.167
MonotonicityStrictly increasing
2024-01-10T06:24:22.044898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
565 1
 
0.1%
595 1
 
0.1%
596 1
 
0.1%
597 1
 
0.1%
598 1
 
0.1%
599 1
 
0.1%
600 1
 
0.1%
601 1
 
0.1%
602 1
 
0.1%
Other values (891) 891
98.9%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
901 1
0.1%
900 1
0.1%
899 1
0.1%
898 1
0.1%
897 1
0.1%
896 1
0.1%
895 1
0.1%
894 1
0.1%
893 1
0.1%
892 1
0.1%

등록번호
Text

UNIQUE 

Distinct901
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-01-10T06:24:22.302933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.0110988
Min length1

Characters and Unicode

Total characters5416
Distinct characters23
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

Unique901 ?
Unique (%)100.0%

Sample

1st row다01007
2nd row바01099
3rd row다01004
4th row다01005
5th row다01006
ValueCountFrequency (%)
다 2
 
0.2%
라09054 1
 
0.1%
아00228 1
 
0.1%
아00239 1
 
0.1%
아00229 1
 
0.1%
아00231 1
 
0.1%
아00230 1
 
0.1%
아00232 1
 
0.1%
아00234 1
 
0.1%
다01338 1
 
0.1%
Other values (892) 892
98.8%
2024-01-10T06:24:22.636260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1811
33.4%
1 761
14.1%
아 462
 
8.5%
2 385
 
7.1%
3 361
 
6.7%
다 293
 
5.4%
4 279
 
5.2%
7 188
 
3.5%
6 186
 
3.4%
5 175
 
3.2%
Other values (13) 515
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4493
83.0%
Other Letter 921
 
17.0%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 462
50.2%
다 293
31.8%
라 59
 
6.4%
자 29
 
3.1%
바 19
 
2.1%
가 11
 
1.2%
사 9
 
1.0%
마 9
 
1.0%
임 9
 
1.0%
시 9
 
1.0%
Other values (2) 12
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 1811
40.3%
1 761
16.9%
2 385
 
8.6%
3 361
 
8.0%
4 279
 
6.2%
7 188
 
4.2%
6 186
 
4.1%
5 175
 
3.9%
9 174
 
3.9%
8 173
 
3.9%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4495
83.0%
Hangul 921
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 462
50.2%
다 293
31.8%
라 59
 
6.4%
자 29
 
3.1%
바 19
 
2.1%
가 11
 
1.2%
사 9
 
1.0%
마 9
 
1.0%
임 9
 
1.0%
시 9
 
1.0%
Other values (2) 12
 
1.3%
Common
ValueCountFrequency (%)
0 1811
40.3%
1 761
16.9%
2 385
 
8.6%
3 361
 
8.0%
4 279
 
6.2%
7 188
 
4.2%
6 186
 
4.1%
5 175
 
3.9%
9 174
 
3.9%
8 173
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4495
83.0%
Hangul 921
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1811
40.3%
1 761
16.9%
2 385
 
8.6%
3 361
 
8.0%
4 279
 
6.2%
7 188
 
4.2%
6 186
 
4.1%
5 175
 
3.9%
9 174
 
3.9%
8 173
 
3.8%
Hangul
ValueCountFrequency (%)
아 462
50.2%
다 293
31.8%
라 59
 
6.4%
자 29
 
3.1%
바 19
 
2.1%
가 11
 
1.2%
사 9
 
1.0%
마 9
 
1.0%
임 9
 
1.0%
시 9
 
1.0%
Other values (2) 12
 
1.3%

제호
Text

Distinct811
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
2024-01-10T06:24:22.843886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length6.2963374
Min length2

Characters and Unicode

Total characters5673
Distinct characters443
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique741 ?
Unique (%)82.2%

Sample

1st row주간 대천신문
2nd row금원열조형기술
3rd row홍성신문
4th row한내신보
5th row주간 천안신문
ValueCountFrequency (%)
주간 35
 
3.2%
뉴스 14
 
1.3%
news 10
 
0.9%
월간 7
 
0.6%
신문 6
 
0.6%
청양자유로 6
 
0.6%
계룡투데이 5
 
0.5%
충남 4
 
0.4%
교육 4
 
0.4%
아산신문 4
 
0.4%
Other values (859) 990
91.2%
2024-01-10T06:24:23.169225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 279
 
4.9%
문 264
 
4.7%
신 252
 
4.4%
뉴 215
 
3.8%
184
 
3.2%
충 142
 
2.5%
산 129
 
2.3%
남 92
 
1.6%
보 87
 
1.5%
안 82
 
1.4%
Other values (433) 3947
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4832
85.2%
Lowercase Letter 258
 
4.5%
Uppercase Letter 252
 
4.4%
Space Separator 184
 
3.2%
Decimal Number 44
 
0.8%
Open Punctuation 36
 
0.6%
Close Punctuation 36
 
0.6%
Other Punctuation 21
 
0.4%
Dash Punctuation 9
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 279
 
5.8%
문 264
 
5.5%
신 252
 
5.2%
뉴 215
 
4.4%
충 142
 
2.9%
산 129
 
2.7%
남 92
 
1.9%
보 87
 
1.8%
안 82
 
1.7%
이 79
 
1.6%
Other values (365) 3211
66.5%
Lowercase Letter
ValueCountFrequency (%)
e 54
20.9%
n 26
10.1%
i 22
 
8.5%
s 19
 
7.4%
w 18
 
7.0%
a 17
 
6.6%
o 13
 
5.0%
c 12
 
4.7%
l 10
 
3.9%
t 8
 
3.1%
Other values (14) 59
22.9%
Uppercase Letter
ValueCountFrequency (%)
N 36
14.3%
S 26
10.3%
T 26
10.3%
C 22
 
8.7%
E 20
 
7.9%
B 15
 
6.0%
W 14
 
5.6%
V 12
 
4.8%
I 9
 
3.6%
O 8
 
3.2%
Other values (14) 64
25.4%
Decimal Number
ValueCountFrequency (%)
2 12
27.3%
4 7
15.9%
1 7
15.9%
3 5
11.4%
5 5
11.4%
6 4
 
9.1%
9 2
 
4.5%
0 1
 
2.3%
8 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 10
47.6%
& 4
 
19.0%
, 3
 
14.3%
· 2
 
9.5%
: 1
 
4.8%
@ 1
 
4.8%
Space Separator
ValueCountFrequency (%)
184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4828
85.1%
Latin 510
 
9.0%
Common 331
 
5.8%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 279
 
5.8%
문 264
 
5.5%
신 252
 
5.2%
뉴 215
 
4.5%
충 142
 
2.9%
산 129
 
2.7%
남 92
 
1.9%
보 87
 
1.8%
안 82
 
1.7%
이 79
 
1.6%
Other values (361) 3207
66.4%
Latin
ValueCountFrequency (%)
e 54
 
10.6%
N 36
 
7.1%
n 26
 
5.1%
S 26
 
5.1%
T 26
 
5.1%
i 22
 
4.3%
C 22
 
4.3%
E 20
 
3.9%
s 19
 
3.7%
w 18
 
3.5%
Other values (38) 241
47.3%
Common
ValueCountFrequency (%)
184
55.6%
( 36
 
10.9%
) 36
 
10.9%
2 12
 
3.6%
. 10
 
3.0%
- 9
 
2.7%
4 7
 
2.1%
1 7
 
2.1%
3 5
 
1.5%
5 5
 
1.5%
Other values (10) 20
 
6.0%
Han
ValueCountFrequency (%)
學 1
25.0%
心 1
25.0%
文 1
25.0%
淸 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4828
85.1%
ASCII 839
 
14.8%
CJK 4
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 279
 
5.8%
문 264
 
5.5%
신 252
 
5.2%
뉴 215
 
4.5%
충 142
 
2.9%
산 129
 
2.7%
남 92
 
1.9%
보 87
 
1.8%
안 82
 
1.7%
이 79
 
1.6%
Other values (361) 3207
66.4%
ASCII
ValueCountFrequency (%)
184
21.9%
e 54
 
6.4%
( 36
 
4.3%
) 36
 
4.3%
N 36
 
4.3%
n 26
 
3.1%
S 26
 
3.1%
T 26
 
3.1%
i 22
 
2.6%
C 22
 
2.6%
Other values (57) 371
44.2%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
學 1
25.0%
心 1
25.0%
文 1
25.0%
淸 1
25.0%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
충남
901 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 901
100.0%

Length

2024-01-10T06:24:23.272488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:23.336828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 901
100.0%

종별
Categorical

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
인터넷신문
467 
일반주간신문
150 
특수주간신문
104 
기타간행물
80 
잡지
73 
Other values (3)
 
27

Length

Max length8
Median length5
Mean length5.1021088
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷신문 467
51.8%
일반주간신문 150
 
16.6%
특수주간신문 104
 
11.5%
기타간행물 80
 
8.9%
잡지 73
 
8.1%
인터넷뉴스서비스 15
 
1.7%
특수일간신문 6
 
0.7%
일반일간신문 6
 
0.7%

Length

2024-01-10T06:24:23.407895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:23.493654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷신문 467
51.8%
일반주간신문 150
 
16.6%
특수주간신문 104
 
11.5%
기타간행물 80
 
8.9%
잡지 73
 
8.1%
인터넷뉴스서비스 15
 
1.7%
특수일간신문 6
 
0.7%
일반일간신문 6
 
0.7%

등록일자
Date

Distinct686
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size7.2 KiB
Minimum1988-03-15 00:00:00
Maximum2022-08-11 00:00:00
2024-01-10T06:24:23.597618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:24:23.708796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T06:24:21.620970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:24:23.775014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.532
종별0.5321.000
2024-01-10T06:24:23.835662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.288
종별0.2881.000

Missing values

2024-01-10T06:24:21.705350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:24:21.787405image/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

연번등록번호제호기관명종별등록일자
01다01007주간 대천신문충남특수주간신문1988-03-15
12바01099금원열조형기술충남기타간행물1988-03-18
23다01004홍성신문충남일반주간신문1988-09-14
34다01005한내신보충남특수주간신문1989-01-06
45다01006주간 천안신문충남일반주간신문1989-02-16
56바01110통일사상충남잡지1989-02-22
67라01083대천공론충남잡지1989-03-15
78다01008주간 대보신문충남특수주간신문1989-04-12
89다01009공주신문충남일반주간신문1989-05-15
910다01010주간 논산신문충남일반주간신문1989-05-17
연번등록번호제호기관명종별등록일자
891892다01387환경녹색신문충남일반주간신문2022-07-04
892893아00486충남팩트뉴스충남인터넷신문2022-07-05
893894아00487아산데일리충남인터넷신문2022-07-05
894895아00488시민뉴스충남인터넷신문2022-07-18
895896다01388우분투 금산시대 신문충남일반주간신문2022-07-23
896897아00489더우아필라테스 매거진충남인터넷신문2022-08-09
897898자00054더우아필라테스 매거진충남인터넷뉴스서비스2022-08-09
898899아00490곰나루충남인터넷신문2022-08-09
899900아00491아산 헤럴드 뉴스충남인터넷신문2022-08-10
900901아00492반하다필라테스충남인터넷신문2022-08-11