Overview

Dataset statistics

Number of variables4
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory36.9 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description부산광역시 남구 관내에서 발행하는 등록된 정기간행물 현황이며, 정기간행물의 명칭, 발행인, 등록일자 등의 자료를 제공합니다.
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15022282/fileData.do

Alerts

순번 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:13:05.593943
Analysis finished2023-12-12 19:13:06.110842
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T04:13:06.180332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-13T04:13:06.309391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

명칭
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T04:13:06.610652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.4411765
Min length3

Characters and Unicode

Total characters219
Distinct characters117
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st rowKRX Market
2nd row좋은세상
3rd row예탁결제
4th row자원봉사신문
5th row예술부산
ValueCountFrequency (%)
krx 2
 
4.5%
bnk 2
 
4.5%
공감 1
 
2.3%
그리고 1
 
2.3%
하트人부산(하트인부산 1
 
2.3%
on 1
 
2.3%
오늘의 1
 
2.3%
기독문예 1
 
2.3%
부산문단 1
 
2.3%
유레카 1
 
2.3%
Other values (32) 32
72.7%
2023-12-13T04:13:07.037837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
문 10
 
4.6%
10
 
4.6%
산 7
 
3.2%
부 7
 
3.2%
K 5
 
2.3%
예 5
 
2.3%
리 4
 
1.8%
N 4
 
1.8%
트 4
 
1.8%
택 3
 
1.4%
Other values (107) 160
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
69.9%
Uppercase Letter 35
 
16.0%
Space Separator 10
 
4.6%
Lowercase Letter 10
 
4.6%
Decimal Number 4
 
1.8%
Close Punctuation 3
 
1.4%
Open Punctuation 3
 
1.4%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 10
 
6.5%
산 7
 
4.6%
부 7
 
4.6%
예 5
 
3.3%
리 4
 
2.6%
트 4
 
2.6%
택 3
 
2.0%
주 3
 
2.0%
오 3
 
2.0%
신 3
 
2.0%
Other values (77) 104
68.0%
Uppercase Letter
ValueCountFrequency (%)
K 5
14.3%
N 4
11.4%
R 3
8.6%
B 3
8.6%
X 3
8.6%
F 2
 
5.7%
E 2
 
5.7%
A 2
 
5.7%
M 2
 
5.7%
L 2
 
5.7%
Other values (6) 7
20.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
a 2
20.0%
k 1
10.0%
e 1
10.0%
r 1
10.0%
t 1
10.0%
n 1
10.0%
i 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
67.6%
Latin 45
 
20.5%
Common 21
 
9.6%
Han 5
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 10
 
6.8%
산 7
 
4.7%
부 7
 
4.7%
예 5
 
3.4%
리 4
 
2.7%
트 4
 
2.7%
택 3
 
2.0%
주 3
 
2.0%
오 3
 
2.0%
신 3
 
2.0%
Other values (72) 99
66.9%
Latin
ValueCountFrequency (%)
K 5
 
11.1%
N 4
 
8.9%
R 3
 
6.7%
B 3
 
6.7%
X 3
 
6.7%
o 2
 
4.4%
F 2
 
4.4%
a 2
 
4.4%
E 2
 
4.4%
A 2
 
4.4%
Other values (14) 17
37.8%
Common
ValueCountFrequency (%)
10
47.6%
) 3
 
14.3%
( 3
 
14.3%
1 2
 
9.5%
2 2
 
9.5%
. 1
 
4.8%
Han
ValueCountFrequency (%)
泉 1
20.0%
曉 1
20.0%
章 1
20.0%
文 1
20.0%
人 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
67.6%
ASCII 66
30.1%
CJK 5
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
문 10
 
6.8%
산 7
 
4.7%
부 7
 
4.7%
예 5
 
3.4%
리 4
 
2.7%
트 4
 
2.7%
택 3
 
2.0%
주 3
 
2.0%
오 3
 
2.0%
신 3
 
2.0%
Other values (72) 99
66.9%
ASCII
ValueCountFrequency (%)
10
 
15.2%
K 5
 
7.6%
N 4
 
6.1%
) 3
 
4.5%
R 3
 
4.5%
( 3
 
4.5%
B 3
 
4.5%
X 3
 
4.5%
o 2
 
3.0%
1 2
 
3.0%
Other values (20) 28
42.4%
CJK
ValueCountFrequency (%)
泉 1
20.0%
曉 1
20.0%
章 1
20.0%
文 1
20.0%
人 1
20.0%

발행인
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T04:13:07.308009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.7647059
Min length3

Characters and Unicode

Total characters128
Distinct characters75
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)70.6%

Sample

1st row손병두
2nd row황영식
3rd row이명호
4th row이종균
5th row오수연
ValueCountFrequency (%)
이명호 2
 
5.6%
하승무 2
 
5.6%
김신재 2
 
5.6%
오수연 2
 
5.6%
최준우 2
 
5.6%
주식회사 1
 
2.8%
이종민 1
 
2.8%
남송우 1
 
2.8%
이명수 1
 
2.8%
이미애 1
 
2.8%
Other values (21) 21
58.3%
2023-12-13T04:13:07.723153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
5.5%
김 4
 
3.1%
인 4
 
3.1%
최 4
 
3.1%
하 4
 
3.1%
박 3
 
2.3%
수 3
 
2.3%
재 3
 
2.3%
명 3
 
2.3%
종 3
 
2.3%
Other values (65) 90
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
96.9%
Space Separator 2
 
1.6%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
5.6%
김 4
 
3.2%
인 4
 
3.2%
최 4
 
3.2%
하 4
 
3.2%
박 3
 
2.4%
수 3
 
2.4%
재 3
 
2.4%
명 3
 
2.4%
종 3
 
2.4%
Other values (62) 86
69.4%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
96.1%
Common 4
 
3.1%
Han 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
5.7%
김 4
 
3.3%
인 4
 
3.3%
최 4
 
3.3%
하 4
 
3.3%
박 3
 
2.4%
수 3
 
2.4%
재 3
 
2.4%
명 3
 
2.4%
종 3
 
2.4%
Other values (61) 85
69.1%
Common
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
96.1%
ASCII 4
 
3.1%
CJK 1
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
5.7%
김 4
 
3.3%
인 4
 
3.3%
최 4
 
3.3%
하 4
 
3.3%
박 3
 
2.4%
수 3
 
2.4%
재 3
 
2.4%
명 3
 
2.4%
종 3
 
2.4%
Other values (61) 85
69.1%
ASCII
ValueCountFrequency (%)
2
50.0%
( 1
25.0%
) 1
25.0%
CJK
ValueCountFrequency (%)
人 1
100.0%

등록일자
Date

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1967-04-20 00:00:00
Maximum2023-04-03 00:00:00
2023-12-13T04:13:07.877028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:08.042288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

Interactions

2023-12-13T04:13:05.830534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:13:08.172044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번명칭발행인등록일자
순번1.0001.0000.5621.000
명칭1.0001.0001.0001.000
발행인0.5621.0001.0000.966
등록일자1.0001.0000.9661.000

Missing values

2023-12-13T04:13:05.992707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:13:06.077487image/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

순번명칭발행인등록일자
01KRX Market손병두1967-04-20
12좋은세상황영식1989-08-12
23예탁결제이명호1992-03-26
34자원봉사신문이종균1996-12-20
45예술부산오수연1997-10-15
56주택금융리서치최준우2005-01-24
67문장21(文章21)최철훈2008-04-07
78문학도시최영구2010-09-14
89미려원심재현2010-12-13
910공감 그리고유종목2011-06-23
순번명칭발행인등록일자
2425내집마련이종민2017-08-09
2526KSDian이명호2018-04-18
2627오늘의문예비평남송우2019-06-19
2728유엔문화환경신문이명수2019-07-09
2829유레카. IN이미애2020-02-18
2930부산문단하승무2020-04-22
3031오늘의 기독문예하승무2020-04-23
3132KRX ON주식회사 한국거래소2021-11-10
3233하트人부산(하트인부산)하트人부산(하트인부산)2022-05-16
3334한국게임문화협회사단법인 한국게임문화협회2023-04-03