Overview

Dataset statistics

Number of variables9
Number of observations25
Missing cells6
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory78.3 B

Variable types

Numeric1
Text5
Categorical3

Dataset

Description부산광역시_동구_정기간행물현황_20220711
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079104

Alerts

연번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 연번High correlation
발행소명 has 6 (24.0%) missing valuesMissing
연번 has unique valuesUnique
등록번호 has unique valuesUnique
제호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:48:36.062637
Analysis finished2023-12-10 16:48:36.918300
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T01:48:36.974539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly decreasing
2023-12-11T01:48:37.087195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25 1
 
4.0%
24 1
 
4.0%
1 1
 
4.0%
2 1
 
4.0%
3 1
 
4.0%
4 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
7 1
 
4.0%
8 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

등록번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:48:37.292763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.08
Min length6

Characters and Unicode

Total characters152
Distinct characters18
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

Unique25 ?
Unique (%)100.0%

Sample

1st row라00027
2nd row라00025
3rd row라00026
4th row사00002
5th row바00004
ValueCountFrequency (%)
라00027 1
 
4.0%
바00003 1
 
4.0%
라00003 1
 
4.0%
라00001 1
 
4.0%
바00001 1
 
4.0%
마00001 1
 
4.0%
라00002 1
 
4.0%
가00001 1
 
4.0%
가00002 1
 
4.0%
라00005 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T01:48:37.665069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
59.9%
라 14
 
9.2%
2 13
 
8.6%
1 8
 
5.3%
바 4
 
2.6%
4 3
 
2.0%
3 3
 
2.0%
5 2
 
1.3%
6 2
 
1.3%
7 2
 
1.3%
Other values (8) 10
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
81.6%
Other Letter 27
 
17.8%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 14
51.9%
바 4
 
14.8%
마 2
 
7.4%
가 2
 
7.4%
사 1
 
3.7%
다 1
 
3.7%
부 1
 
3.7%
산 1
 
3.7%
동 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
0 91
73.4%
2 13
 
10.5%
1 8
 
6.5%
4 3
 
2.4%
3 3
 
2.4%
5 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 125
82.2%
Hangul 27
 
17.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
72.8%
2 13
 
10.4%
1 8
 
6.4%
4 3
 
2.4%
3 3
 
2.4%
5 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
, 1
 
0.8%
Hangul
ValueCountFrequency (%)
라 14
51.9%
바 4
 
14.8%
마 2
 
7.4%
가 2
 
7.4%
사 1
 
3.7%
다 1
 
3.7%
부 1
 
3.7%
산 1
 
3.7%
동 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
82.2%
Hangul 27
 
17.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
72.8%
2 13
 
10.4%
1 8
 
6.4%
4 3
 
2.4%
3 3
 
2.4%
5 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
, 1
 
0.8%
Hangul
ValueCountFrequency (%)
라 14
51.9%
바 4
 
14.8%
마 2
 
7.4%
가 2
 
7.4%
사 1
 
3.7%
다 1
 
3.7%
부 1
 
3.7%
산 1
 
3.7%
동 1
 
3.7%

제호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:48:37.871192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.2
Min length4

Characters and Unicode

Total characters180
Distinct characters107
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row포커스21
2nd row글로벌가족신문
3rd row보훈건국신문
4th row부산기독교총연합회신문
5th row부산시인
ValueCountFrequency (%)
세상 2
 
5.7%
행복한 2
 
5.7%
포커스21 1
 
2.9%
있는 1
 
2.9%
법률속보 1
 
2.9%
실버유토피아 1
 
2.9%
노인이 1
 
2.9%
예술부산뉴스 1
 
2.9%
한국노동안전 1
 
2.9%
114 1
 
2.9%
Other values (23) 23
65.7%
2023-12-11T01:48:38.197601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
5.6%
산 7
 
3.9%
부 7
 
3.9%
보 5
 
2.8%
스 5
 
2.8%
한 4
 
2.2%
2 4
 
2.2%
1 4
 
2.2%
신 4
 
2.2%
문 4
 
2.2%
Other values (97) 126
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
82.8%
Decimal Number 12
 
6.7%
Space Separator 10
 
5.6%
Uppercase Letter 4
 
2.2%
Other Punctuation 3
 
1.7%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 7
 
4.7%
부 7
 
4.7%
보 5
 
3.4%
스 5
 
3.4%
한 4
 
2.7%
신 4
 
2.7%
문 4
 
2.7%
월 3
 
2.0%
국 3
 
2.0%
시 3
 
2.0%
Other values (82) 104
69.8%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
1 4
33.3%
0 2
16.7%
4 1
 
8.3%
3 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
W 1
25.0%
E 1
25.0%
N 1
25.0%
Other Punctuation
ValueCountFrequency (%)
; 1
33.3%
# 1
33.3%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
78.3%
Common 27
 
15.0%
Han 8
 
4.4%
Latin 4
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 7
 
5.0%
부 7
 
5.0%
보 5
 
3.5%
스 5
 
3.5%
한 4
 
2.8%
신 4
 
2.8%
문 4
 
2.8%
월 3
 
2.1%
국 3
 
2.1%
시 3
 
2.1%
Other values (76) 96
68.1%
Common
ValueCountFrequency (%)
10
37.0%
2 4
 
14.8%
1 4
 
14.8%
0 2
 
7.4%
4 1
 
3.7%
( 1
 
3.7%
) 1
 
3.7%
; 1
 
3.7%
3 1
 
3.7%
# 1
 
3.7%
Han
ValueCountFrequency (%)
釜 2
25.0%
山 2
25.0%
文 1
12.5%
學 1
12.5%
海 1
12.5%
好 1
12.5%
Latin
ValueCountFrequency (%)
S 1
25.0%
W 1
25.0%
E 1
25.0%
N 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
78.3%
ASCII 31
 
17.2%
CJK 8
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
32.3%
2 4
 
12.9%
1 4
 
12.9%
0 2
 
6.5%
4 1
 
3.2%
S 1
 
3.2%
W 1
 
3.2%
E 1
 
3.2%
N 1
 
3.2%
( 1
 
3.2%
Other values (5) 5
16.1%
Hangul
ValueCountFrequency (%)
산 7
 
5.0%
부 7
 
5.0%
보 5
 
3.5%
스 5
 
3.5%
한 4
 
2.8%
신 4
 
2.8%
문 4
 
2.8%
월 3
 
2.1%
국 3
 
2.1%
시 3
 
2.1%
Other values (76) 96
68.1%
CJK
ValueCountFrequency (%)
釜 2
25.0%
山 2
25.0%
文 1
12.5%
學 1
12.5%
海 1
12.5%
好 1
12.5%

종별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
기타간행물
11 
잡지
7 
정보간행물
7 

Length

Max length5
Median length5
Mean length4.16
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row잡지
2nd row정보간행물
3rd row정보간행물
4th row기타간행물
5th row잡지

Common Values

ValueCountFrequency (%)
기타간행물 11
44.0%
잡지 7
28.0%
정보간행물 7
28.0%

Length

2023-12-11T01:48:38.334485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:38.446101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타간행물 11
44.0%
잡지 7
28.0%
정보간행물 7
28.0%

간별
Categorical

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
월간
14 
계간
4 
격월간
2 
일간
2 
연2회간
 
1
Other values (2)
2 

Length

Max length4
Median length2
Mean length2.2
Min length2

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row월간
2nd row월간
3rd row월간
4th row연2회간
5th row계간

Common Values

ValueCountFrequency (%)
월간 14
56.0%
계간 4
 
16.0%
격월간 2
 
8.0%
일간 2
 
8.0%
연2회간 1
 
4.0%
주간 1
 
4.0%
격주간 1
 
4.0%

Length

2023-12-11T01:48:38.566455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:38.701719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 14
56.0%
계간 4
 
16.0%
격월간 2
 
8.0%
일간 2
 
8.0%
연2회간 1
 
4.0%
주간 1
 
4.0%
격주간 1
 
4.0%

성격
Text

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:48:38.855527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.92
Min length2

Characters and Unicode

Total characters73
Distinct characters34
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

Unique9 ?
Unique (%)36.0%

Sample

1st row사회과학
2nd row사회과학
3rd row기타
4th row기독교
5th row문학
ValueCountFrequency (%)
총류 9
36.0%
생활정보 3
 
12.0%
사회과학 2
 
8.0%
기타 2
 
8.0%
기독교 1
 
4.0%
문학 1
 
4.0%
관광 1
 
4.0%
종교 1
 
4.0%
미술일반 1
 
4.0%
노무관리 1
 
4.0%
Other values (3) 3
 
12.0%
2023-12-11T01:48:39.172914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 9
 
12.3%
류 9
 
12.3%
정 4
 
5.5%
보 3
 
4.1%
기 3
 
4.1%
학 3
 
4.1%
활 3
 
4.1%
생 3
 
4.1%
사 2
 
2.7%
회 2
 
2.7%
Other values (24) 32
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71
97.3%
Other Punctuation 2
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 9
 
12.7%
류 9
 
12.7%
정 4
 
5.6%
보 3
 
4.2%
기 3
 
4.2%
학 3
 
4.2%
활 3
 
4.2%
생 3
 
4.2%
사 2
 
2.8%
회 2
 
2.8%
Other values (22) 30
42.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71
97.3%
Common 2
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 9
 
12.7%
류 9
 
12.7%
정 4
 
5.6%
보 3
 
4.2%
기 3
 
4.2%
학 3
 
4.2%
활 3
 
4.2%
생 3
 
4.2%
사 2
 
2.8%
회 2
 
2.8%
Other values (22) 30
42.3%
Common
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71
97.3%
ASCII 2
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 9
 
12.7%
류 9
 
12.7%
정 4
 
5.6%
보 3
 
4.2%
기 3
 
4.2%
학 3
 
4.2%
활 3
 
4.2%
생 3
 
4.2%
사 2
 
2.8%
회 2
 
2.8%
Other values (22) 30
42.3%
ASCII
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

유무가
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
무가
14 
유가
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유가
2nd row유가
3rd row유가
4th row무가
5th row유가

Common Values

ValueCountFrequency (%)
무가 14
56.0%
유가 11
44.0%

Length

2023-12-11T01:48:39.326348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:39.413555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무가 14
56.0%
유가 11
44.0%

발행소명
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing6
Missing (%)24.0%
Memory size332.0 B
2023-12-11T01:48:39.562246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length10.578947
Min length2

Characters and Unicode

Total characters201
Distinct characters84
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row주식회사 일요부산
2nd row글로벌행복한가족운동본부
3rd row대한민국건국회
4th row사단법인부산기독교총연합회
5th row사단법인 부산시인협회
ValueCountFrequency (%)
사단법인 3
 
11.5%
주식회사 2
 
7.7%
주)미디어챔프 1
 
3.8%
사)목요학술회 1
 
3.8%
양원 1
 
3.8%
보금주택개발(주 1
 
3.8%
노인과복지 1
 
3.8%
한국예술문화단체총연합회(부산시연합회 1
 
3.8%
주)정보엠 1
 
3.8%
한국현대미술협회 1
 
3.8%
Other values (13) 13
50.0%
2023-12-11T01:48:39.893962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 14
 
7.0%
회 12
 
6.0%
) 10
 
5.0%
( 8
 
4.0%
부 8
 
4.0%
7
 
3.5%
인 7
 
3.5%
국 7
 
3.5%
한 6
 
3.0%
주 6
 
3.0%
Other values (74) 116
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
85.6%
Close Punctuation 10
 
5.0%
Open Punctuation 8
 
4.0%
Space Separator 7
 
3.5%
Decimal Number 4
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
8.1%
회 12
 
7.0%
부 8
 
4.7%
인 7
 
4.1%
국 7
 
4.1%
한 6
 
3.5%
주 6
 
3.5%
산 6
 
3.5%
단 5
 
2.9%
연 4
 
2.3%
Other values (68) 97
56.4%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
3 1
25.0%
1 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
85.6%
Common 29
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
8.1%
회 12
 
7.0%
부 8
 
4.7%
인 7
 
4.1%
국 7
 
4.1%
한 6
 
3.5%
주 6
 
3.5%
산 6
 
3.5%
단 5
 
2.9%
연 4
 
2.3%
Other values (68) 97
56.4%
Common
ValueCountFrequency (%)
) 10
34.5%
( 8
27.6%
7
24.1%
6 2
 
6.9%
3 1
 
3.4%
1 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
85.6%
ASCII 29
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 14
 
8.1%
회 12
 
7.0%
부 8
 
4.7%
인 7
 
4.1%
국 7
 
4.1%
한 6
 
3.5%
주 6
 
3.5%
산 6
 
3.5%
단 5
 
2.9%
연 4
 
2.3%
Other values (68) 97
56.4%
ASCII
ValueCountFrequency (%)
) 10
34.5%
( 8
27.6%
7
24.1%
6 2
 
6.9%
3 1
 
3.4%
1 1
 
3.4%

발행소 주소
Text

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T01:48:40.146345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length31.88
Min length20

Characters and Unicode

Total characters797
Distinct characters83
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

Unique22 ?
Unique (%)88.0%

Sample

1st row부산 동구 중앙대로 263, 1010호 (초량동, 국제오피스텔)
2nd row부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
3rd row부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
4th row부산 동구 중앙대로 267 (초량동), 601호(신동빌딩)
5th row부산 동구 중앙대로 324 (초량동, 성운빌딩), 2층
ValueCountFrequency (%)
동구 25
16.1%
부산광역시 17
 
11.0%
중앙대로 12
 
7.7%
초량동 12
 
7.7%
부산 8
 
5.2%
328 5
 
3.2%
금산빌딩 5
 
3.2%
범일동 4
 
2.6%
503호 3
 
1.9%
수정동 3
 
1.9%
Other values (51) 61
39.4%
2023-12-11T01:48:40.949553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
16.6%
동 49
 
6.1%
산 33
 
4.1%
, 32
 
4.0%
3 32
 
4.0%
부 28
 
3.5%
구 25
 
3.1%
로 25
 
3.1%
) 23
 
2.9%
( 23
 
2.9%
Other values (73) 395
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
55.6%
Space Separator 132
 
16.6%
Decimal Number 129
 
16.2%
Other Punctuation 35
 
4.4%
Close Punctuation 23
 
2.9%
Open Punctuation 23
 
2.9%
Uppercase Letter 8
 
1.0%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
11.1%
산 33
 
7.4%
부 28
 
6.3%
구 25
 
5.6%
로 25
 
5.6%
시 20
 
4.5%
대 19
 
4.3%
중 17
 
3.8%
광 17
 
3.8%
역 17
 
3.8%
Other values (53) 193
43.6%
Decimal Number
ValueCountFrequency (%)
3 32
24.8%
1 18
14.0%
2 16
12.4%
0 15
11.6%
8 12
 
9.3%
6 9
 
7.0%
5 8
 
6.2%
7 7
 
5.4%
4 6
 
4.7%
9 6
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
M 2
25.0%
Y 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 32
91.4%
. 3
 
8.6%
Space Separator
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 443
55.6%
Common 346
43.4%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
11.1%
산 33
 
7.4%
부 28
 
6.3%
구 25
 
5.6%
로 25
 
5.6%
시 20
 
4.5%
대 19
 
4.3%
중 17
 
3.8%
광 17
 
3.8%
역 17
 
3.8%
Other values (53) 193
43.6%
Common
ValueCountFrequency (%)
132
38.2%
, 32
 
9.2%
3 32
 
9.2%
) 23
 
6.6%
( 23
 
6.6%
1 18
 
5.2%
2 16
 
4.6%
0 15
 
4.3%
8 12
 
3.5%
6 9
 
2.6%
Other values (6) 34
 
9.8%
Latin
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
M 2
25.0%
Y 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
55.6%
ASCII 354
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
37.3%
, 32
 
9.0%
3 32
 
9.0%
) 23
 
6.5%
( 23
 
6.5%
1 18
 
5.1%
2 16
 
4.5%
0 15
 
4.2%
8 12
 
3.4%
6 9
 
2.5%
Other values (10) 42
 
11.9%
Hangul
ValueCountFrequency (%)
동 49
 
11.1%
산 33
 
7.4%
부 28
 
6.3%
구 25
 
5.6%
로 25
 
5.6%
시 20
 
4.5%
대 19
 
4.3%
중 17
 
3.8%
광 17
 
3.8%
역 17
 
3.8%
Other values (53) 193
43.6%

Interactions

2023-12-11T01:48:36.553685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:48:41.123067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호제호종별간별성격유무가발행소명발행소 주소
연번1.0001.0001.0000.6790.6210.7470.4361.0000.930
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
제호1.0001.0001.0001.0001.0001.0001.0001.0001.000
종별0.6791.0001.0001.0000.3500.5060.1491.0000.669
간별0.6211.0001.0000.3501.0000.8690.2011.0001.000
성격0.7471.0001.0000.5060.8691.0000.0001.0000.943
유무가0.4361.0001.0000.1490.2010.0001.0001.0001.000
발행소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
발행소 주소0.9301.0001.0000.6691.0000.9431.0001.0001.000
2023-12-11T01:48:41.341951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무가종별간별
유무가1.0000.2340.162
종별0.2341.0000.204
간별0.1620.2041.000
2023-12-11T01:48:41.484136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별간별유무가
연번1.0000.5160.3350.243
종별0.5161.0000.2040.234
간별0.3350.2041.0000.162
유무가0.2430.2340.1621.000

Missing values

2023-12-11T01:48:36.673716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:48:36.872101image/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

연번등록번호제호종별간별성격유무가발행소명발행소 주소
025라00027포커스21잡지월간사회과학유가주식회사 일요부산부산 동구 중앙대로 263, 1010호 (초량동, 국제오피스텔)
124라00025글로벌가족신문정보간행물월간사회과학유가글로벌행복한가족운동본부부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
223라00026보훈건국신문정보간행물월간기타유가대한민국건국회부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
322사00002부산기독교총연합회신문기타간행물연2회간기독교무가사단법인부산기독교총연합회부산 동구 중앙대로 267 (초량동), 601호(신동빌딩)
421바00004부산시인잡지계간문학유가사단법인 부산시인협회부산 동구 중앙대로 324 (초량동, 성운빌딩), 2층
520라00021로타리 부산NEWS잡지월간총류무가(사)국제로타리 3661지구부산 동구 중앙대로 319 10층(초량동, 부산YMCA빌딩)
619라00022釜山文學(부산문학)잡지월간총류유가주식회사 한국인부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
718라00020동감에서동감으로잡지월간총류무가<NA>부산광역시 동구 중앙대로 356 3층
817바00002&#20320;好釜山정보간행물계간관광무가<NA>부산광역시 동구 중앙대로236번길 7-10
916라00024한국녹색환경신보잡지월간총류유가(사)지구녹색환경연합회부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
연번등록번호제호종별간별성격유무가발행소명발행소 주소
1510라00007아트월드 21기타간행물월간미술일반무가한국현대미술협회부산광역시 동구 조방로 48 (범일동, 자유시장)
169라00005월간 그립습니다기타간행물월간총류유가<NA>부산광역시 동구 조방로 48, 549호 (범일동, 자유시장)
178가00002부산정보정보간행물일간생활정보유가(주)정보엠부산광역시 동구 중앙대로 328, 803호 (초량동, 금산빌딩)
187가00001생활정보소개 114정보간행물일간생활정보무가<NA>부산광역시 동구 대영로243번길 109 (초량동)
196라00002한국노동안전기타간행물월간노무관리유가<NA>부산광역시 동구 수정중로37번길 1 (수정동)
205마00001예술부산뉴스기타간행물격월간예술일반무가사단법인 한국예술문화단체총연합회(부산시연합회)부산광역시 동구 자성로133번길 16 (범일동, 부산시민회관)
214바00001노인이 행복한 세상기타간행물계간생활정보무가사단법인 노인과복지부산광역시 동구 중앙대로 319 (초량동, 부산Y.M.C.A빌딩)
223라00001실버유토피아기타간행물월간복지,노인무가보금주택개발(주)부산광역시 동구 중앙대로 192, 708호 (초량동, 대한교직원공제회)
232라00003법률속보기타간행물월간법률.행정유가<NA>부산광역시 동구 자성공원로3번길 19-3, 나동 1017호 (범일동, 한성기린프라자)
241라00016시민시대잡지월간총류유가(사)목요학술회 이사부산광역시 동구 고관로 125 (수정동)