Overview

Dataset statistics

Number of variables6
Number of observations318
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory49.4 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
종별 is highly imbalanced (58.9%)Imbalance
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:24:24.373767
Analysis finished2024-01-09 21:24:24.759587
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.5
Minimum1
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:24.814788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.85
Q180.25
median159.5
Q3238.75
95-th percentile302.15
Maximum318
Range317
Interquartile range (IQR)158.5

Descriptive statistics

Standard deviation91.942917
Coefficient of variation (CV)0.57644462
Kurtosis-1.2
Mean159.5
Median Absolute Deviation (MAD)79.5
Skewness0
Sum50721
Variance8453.5
MonotonicityStrictly increasing
2024-01-10T06:24:24.920055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
211 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
210 1
 
0.3%
Other values (308) 308
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%

등록번호
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T06:24:25.187846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters1908
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)100.0%

Sample

1st row아00433
2nd row아00432
3rd row다01377
4th row아00431
5th row아00430
ValueCountFrequency (%)
아00433 1
 
0.3%
다01327 1
 
0.3%
아00258 1
 
0.3%
다01322 1
 
0.3%
아00250 1
 
0.3%
아00174 1
 
0.3%
아00173 1
 
0.3%
아00178 1
 
0.3%
다01320 1
 
0.3%
아00183 1
 
0.3%
Other values (308) 308
96.9%
2024-01-10T06:24:25.545737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 686
36.0%
아 242
 
12.7%
3 195
 
10.2%
1 182
 
9.5%
2 137
 
7.2%
4 83
 
4.4%
다 68
 
3.6%
8 64
 
3.4%
7 64
 
3.4%
6 64
 
3.4%
Other values (5) 123
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1590
83.3%
Other Letter 318
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 686
43.1%
3 195
 
12.3%
1 182
 
11.4%
2 137
 
8.6%
4 83
 
5.2%
8 64
 
4.0%
7 64
 
4.0%
6 64
 
4.0%
9 60
 
3.8%
5 55
 
3.5%
Other Letter
ValueCountFrequency (%)
아 242
76.1%
다 68
 
21.4%
자 5
 
1.6%
가 2
 
0.6%
바 1
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1590
83.3%
Hangul 318
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 686
43.1%
3 195
 
12.3%
1 182
 
11.4%
2 137
 
8.6%
4 83
 
5.2%
8 64
 
4.0%
7 64
 
4.0%
6 64
 
4.0%
9 60
 
3.8%
5 55
 
3.5%
Hangul
ValueCountFrequency (%)
아 242
76.1%
다 68
 
21.4%
자 5
 
1.6%
가 2
 
0.6%
바 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1590
83.3%
Hangul 318
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 686
43.1%
3 195
 
12.3%
1 182
 
11.4%
2 137
 
8.6%
4 83
 
5.2%
8 64
 
4.0%
7 64
 
4.0%
6 64
 
4.0%
9 60
 
3.8%
5 55
 
3.5%
Hangul
ValueCountFrequency (%)
아 242
76.1%
다 68
 
21.4%
자 5
 
1.6%
가 2
 
0.6%
바 1
 
0.3%

제호
Text

Distinct304
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T06:24:25.770440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.2735849
Min length2

Characters and Unicode

Total characters1995
Distinct characters269
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique290 ?
Unique (%)91.2%

Sample

1st row천안이야기
2nd row아산미래미디어
3rd row주식회사 아산미래신문
4th row한국기술뉴스
5th row청양in(인)
ValueCountFrequency (%)
주간 8
 
2.2%
뉴스 6
 
1.6%
news 5
 
1.4%
충남 3
 
0.8%
무한정보 3
 
0.8%
계룡투데이 2
 
0.5%
한국농업신문 2
 
0.5%
보령 2
 
0.5%
금산신문 2
 
0.5%
서산태안신문 2
 
0.5%
Other values (319) 334
90.5%
2024-01-10T06:24:26.095801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 119
 
6.0%
뉴 90
 
4.5%
문 89
 
4.5%
신 85
 
4.3%
충 63
 
3.2%
51
 
2.6%
산 50
 
2.5%
보 41
 
2.1%
남 40
 
2.0%
이 39
 
2.0%
Other values (259) 1328
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1683
84.4%
Uppercase Letter 112
 
5.6%
Lowercase Letter 87
 
4.4%
Space Separator 51
 
2.6%
Close Punctuation 20
 
1.0%
Open Punctuation 20
 
1.0%
Decimal Number 12
 
0.6%
Dash Punctuation 5
 
0.3%
Other Punctuation 4
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 119
 
7.1%
뉴 90
 
5.3%
문 89
 
5.3%
신 85
 
5.1%
충 63
 
3.7%
산 50
 
3.0%
보 41
 
2.4%
남 40
 
2.4%
이 39
 
2.3%
일 32
 
1.9%
Other values (204) 1035
61.5%
Uppercase Letter
ValueCountFrequency (%)
T 16
14.3%
N 15
13.4%
S 14
12.5%
C 14
12.5%
W 8
7.1%
E 8
7.1%
V 8
7.1%
B 7
6.2%
M 3
 
2.7%
I 3
 
2.7%
Other values (11) 16
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 20
23.0%
i 12
13.8%
s 10
11.5%
n 10
11.5%
c 6
 
6.9%
w 5
 
5.7%
o 4
 
4.6%
b 3
 
3.4%
m 3
 
3.4%
t 3
 
3.4%
Other values (8) 11
12.6%
Decimal Number
ValueCountFrequency (%)
2 3
25.0%
4 3
25.0%
1 2
16.7%
5 1
 
8.3%
3 1
 
8.3%
6 1
 
8.3%
0 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
: 1
25.0%
. 1
25.0%
@ 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1683
84.4%
Latin 199
 
10.0%
Common 113
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 119
 
7.1%
뉴 90
 
5.3%
문 89
 
5.3%
신 85
 
5.1%
충 63
 
3.7%
산 50
 
3.0%
보 41
 
2.4%
남 40
 
2.4%
이 39
 
2.3%
일 32
 
1.9%
Other values (204) 1035
61.5%
Latin
ValueCountFrequency (%)
e 20
 
10.1%
T 16
 
8.0%
N 15
 
7.5%
S 14
 
7.0%
C 14
 
7.0%
i 12
 
6.0%
s 10
 
5.0%
n 10
 
5.0%
W 8
 
4.0%
E 8
 
4.0%
Other values (29) 72
36.2%
Common
ValueCountFrequency (%)
51
45.1%
) 20
 
17.7%
( 20
 
17.7%
- 5
 
4.4%
2 3
 
2.7%
4 3
 
2.7%
1 2
 
1.8%
5 1
 
0.9%
: 1
 
0.9%
3 1
 
0.9%
Other values (6) 6
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1683
84.4%
ASCII 312
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 119
 
7.1%
뉴 90
 
5.3%
문 89
 
5.3%
신 85
 
5.1%
충 63
 
3.7%
산 50
 
3.0%
보 41
 
2.4%
남 40
 
2.4%
이 39
 
2.3%
일 32
 
1.9%
Other values (204) 1035
61.5%
ASCII
ValueCountFrequency (%)
51
16.3%
) 20
 
6.4%
e 20
 
6.4%
( 20
 
6.4%
T 16
 
5.1%
N 15
 
4.8%
S 14
 
4.5%
C 14
 
4.5%
i 12
 
3.8%
s 10
 
3.2%
Other values (45) 120
38.5%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
충남
318 

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 318
100.0%

Length

2024-01-10T06:24:26.199031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:26.268574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 318
100.0%

종별
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
인터넷신문
244 
일반주간신문
54 
특수주간신문
 
14
인터넷뉴스서비스
 
3
일반일간신문
 
2

Length

Max length8
Median length5
Mean length5.2484277
Min length5

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷신문 244
76.7%
일반주간신문 54
 
17.0%
특수주간신문 14
 
4.4%
인터넷뉴스서비스 3
 
0.9%
일반일간신문 2
 
0.6%
기타간행물 1
 
0.3%

Length

2024-01-10T06:24:26.346478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:26.429755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷신문 244
76.7%
일반주간신문 54
 
17.0%
특수주간신문 14
 
4.4%
인터넷뉴스서비스 3
 
0.9%
일반일간신문 2
 
0.6%
기타간행물 1
 
0.3%

등록일자
Date

Distinct263
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1988-09-14 00:00:00
Maximum2021-01-06 00:00:00
2024-01-10T06:24:26.528677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:24:26.652546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T06:24:24.564541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:24:26.718200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.391
종별0.3911.000
2024-01-10T06:24:26.780445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.216
종별0.2161.000

Missing values

2024-01-10T06:24:24.650734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:24:24.728938image/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
01아00433천안이야기충남인터넷신문2021-01-06
12아00432아산미래미디어충남인터넷신문2020-12-29
23다01377주식회사 아산미래신문충남일반주간신문2020-12-23
34아00431한국기술뉴스충남인터넷신문2020-12-22
45아00430청양in(인)충남인터넷신문2020-12-17
56아00429CnA뉴스(씨엔에이뉴스)충남인터넷신문2020-12-16
67아00428천안방송충남인터넷신문2020-12-11
78아00427충남방송충남인터넷신문2020-12-11
89아00426CTN교육신문충남인터넷신문2020-12-02
910아00425충청탑뉴스충남인터넷신문2020-12-02
연번등록번호제호기관명종별등록일자
308309바01199주간 온천관광신문충남기타간행물1990-03-20
309310다01017주간 태안신문충남일반주간신문1990-03-14
310311다01016청양신문충남일반주간신문1989-12-02
311312다01015당진시대충남일반주간신문1989-09-21
312313다01014금산신문충남일반주간신문1989-08-29
313314다01013서천신문충남일반주간신문1989-08-29
314315다01012주간 예산신문충남일반주간신문1989-07-21
315316다01137당진신문충남일반주간신문1989-05-17
316317다01009공주신문충남일반주간신문1989-05-15
317318다01004홍성신문충남일반주간신문1988-09-14