Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells8
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory78.5 B

Variable types

Numeric1
Text5
Categorical3

Dataset

Description부산광역시_동구_정기간행물현황_20200622
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079104

Alerts

등록번호 has 1 (4.2%) missing valuesMissing
발행소명 has 7 (29.2%) missing valuesMissing
연번 has unique valuesUnique
제호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:48:51.216627
Analysis finished2023-12-10 16:48:52.288993
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T01:48:52.375324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-11T01:48:52.530391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

등록번호
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing1
Missing (%)4.2%
Memory size324.0 B
2023-12-11T01:48:52.732050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters138
Distinct characters14
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

Unique23 ?
Unique (%)100.0%

Sample

1st row라00016
2nd row라00003
3rd row라00001
4th row바00001
5th row마00001
ValueCountFrequency (%)
라00016 1
 
4.3%
라00019 1
 
4.3%
라00026 1
 
4.3%
사00002 1
 
4.3%
바00004 1
 
4.3%
라00021 1
 
4.3%
라00022 1
 
4.3%
라00020 1
 
4.3%
바00002 1
 
4.3%
라00024 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T01:48:53.138016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 84
60.9%
라 14
 
10.1%
2 11
 
8.0%
1 8
 
5.8%
바 4
 
2.9%
3 3
 
2.2%
4 3
 
2.2%
6 2
 
1.4%
마 2
 
1.4%
가 2
 
1.4%
Other values (4) 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
83.3%
Other Letter 23
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 84
73.0%
2 11
 
9.6%
1 8
 
7.0%
3 3
 
2.6%
4 3
 
2.6%
6 2
 
1.7%
5 2
 
1.7%
7 1
 
0.9%
9 1
 
0.9%
Other Letter
ValueCountFrequency (%)
라 14
60.9%
바 4
 
17.4%
마 2
 
8.7%
가 2
 
8.7%
사 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 115
83.3%
Hangul 23
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 84
73.0%
2 11
 
9.6%
1 8
 
7.0%
3 3
 
2.6%
4 3
 
2.6%
6 2
 
1.7%
5 2
 
1.7%
7 1
 
0.9%
9 1
 
0.9%
Hangul
ValueCountFrequency (%)
라 14
60.9%
바 4
 
17.4%
마 2
 
8.7%
가 2
 
8.7%
사 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
83.3%
Hangul 23
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 84
73.0%
2 11
 
9.6%
1 8
 
7.0%
3 3
 
2.6%
4 3
 
2.6%
6 2
 
1.7%
5 2
 
1.7%
7 1
 
0.9%
9 1
 
0.9%
Hangul
ValueCountFrequency (%)
라 14
60.9%
바 4
 
17.4%
마 2
 
8.7%
가 2
 
8.7%
사 1
 
4.3%

제호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:48:53.357318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.25
Min length4

Characters and Unicode

Total characters174
Distinct characters106
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

Unique24 ?
Unique (%)100.0%

Sample

1st row시민시대
2nd row법률속보
3rd row실버유토피아
4th row노인이 행복한 세상
5th row예술부산뉴스
ValueCountFrequency (%)
행복한 2
 
5.9%
세상 2
 
5.9%
시민시대 1
 
2.9%
동감에서동감으로 1
 
2.9%
타임 1
 
2.9%
월간새빛 1
 
2.9%
월간海바라기 1
 
2.9%
한국녹색환경신보 1
 
2.9%
20320;好釜山 1
 
2.9%
로타리 1
 
2.9%
Other values (22) 22
64.7%
2023-12-11T01:48:53.773088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
5.7%
부 7
 
4.0%
산 7
 
4.0%
보 5
 
2.9%
한 4
 
2.3%
월 4
 
2.3%
신 4
 
2.3%
문 4
 
2.3%
동 3
 
1.7%
국 3
 
1.7%
Other values (96) 123
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
83.3%
Space Separator 10
 
5.7%
Decimal Number 10
 
5.7%
Uppercase Letter 4
 
2.3%
Other Punctuation 3
 
1.7%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 7
 
4.8%
산 7
 
4.8%
보 5
 
3.4%
한 4
 
2.8%
월 4
 
2.8%
신 4
 
2.8%
문 4
 
2.8%
동 3
 
2.1%
국 3
 
2.1%
시 3
 
2.1%
Other values (81) 101
69.7%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
0 2
20.0%
3 1
 
10.0%
4 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
25.0%
S 1
25.0%
W 1
25.0%
E 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
# 1
33.3%
; 1
33.3%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
78.7%
Common 25
 
14.4%
Han 8
 
4.6%
Latin 4
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 7
 
5.1%
산 7
 
5.1%
보 5
 
3.6%
한 4
 
2.9%
월 4
 
2.9%
신 4
 
2.9%
문 4
 
2.9%
동 3
 
2.2%
국 3
 
2.2%
시 3
 
2.2%
Other values (75) 93
67.9%
Common
ValueCountFrequency (%)
10
40.0%
1 3
 
12.0%
2 3
 
12.0%
0 2
 
8.0%
3 1
 
4.0%
& 1
 
4.0%
# 1
 
4.0%
; 1
 
4.0%
) 1
 
4.0%
( 1
 
4.0%
Han
ValueCountFrequency (%)
山 2
25.0%
釜 2
25.0%
好 1
12.5%
文 1
12.5%
學 1
12.5%
海 1
12.5%
Latin
ValueCountFrequency (%)
N 1
25.0%
S 1
25.0%
W 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
78.7%
ASCII 29
 
16.7%
CJK 8
 
4.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
34.5%
1 3
 
10.3%
2 3
 
10.3%
0 2
 
6.9%
3 1
 
3.4%
& 1
 
3.4%
# 1
 
3.4%
; 1
 
3.4%
N 1
 
3.4%
S 1
 
3.4%
Other values (5) 5
17.2%
Hangul
ValueCountFrequency (%)
부 7
 
5.1%
산 7
 
5.1%
보 5
 
3.6%
한 4
 
2.9%
월 4
 
2.9%
신 4
 
2.9%
문 4
 
2.9%
동 3
 
2.2%
국 3
 
2.2%
시 3
 
2.2%
Other values (75) 93
67.9%
CJK
ValueCountFrequency (%)
山 2
25.0%
釜 2
25.0%
好 1
12.5%
文 1
12.5%
學 1
12.5%
海 1
12.5%

종별
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
기타간행물
11 
잡지
7 
정보간행물
6 

Length

Max length5
Median length5
Mean length4.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타간행물 11
45.8%
잡지 7
29.2%
정보간행물 6
25.0%

Length

2023-12-11T01:48:53.933085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:54.096552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타간행물 11
45.8%
잡지 7
29.2%
정보간행물 6
25.0%

간별
Categorical

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
월간
14 
계간
4 
격월간
2 
일간
2 
격주간
 
1

Length

Max length4
Median length2
Mean length2.2083333
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

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

Common Values

ValueCountFrequency (%)
월간 14
58.3%
계간 4
 
16.7%
격월간 2
 
8.3%
일간 2
 
8.3%
격주간 1
 
4.2%
연2회간 1
 
4.2%

Length

2023-12-11T01:48:54.819952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:55.066928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 14
58.3%
계간 4
 
16.7%
격월간 2
 
8.3%
일간 2
 
8.3%
격주간 1
 
4.2%
연2회간 1
 
4.2%

성격
Text

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:48:55.356451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4.5
Mean length3
Min length2

Characters and Unicode

Total characters72
Distinct characters35
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

Unique11 ?
Unique (%)45.8%

Sample

1st row지역기타
2nd row법률.행정
3rd row복지,노인
4th row생활정보
5th row예술일반
ValueCountFrequency (%)
총류 8
33.3%
생활정보 3
 
12.5%
기독교 2
 
8.3%
지역기타 1
 
4.2%
법률.행정 1
 
4.2%
복지,노인 1
 
4.2%
예술일반 1
 
4.2%
노무관리 1
 
4.2%
미술일반 1
 
4.2%
종교 1
 
4.2%
Other values (4) 4
16.7%
2023-12-11T01:48:55.883734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 8
 
11.1%
류 8
 
11.1%
정 4
 
5.6%
기 4
 
5.6%
생 3
 
4.2%
활 3
 
4.2%
보 3
 
4.2%
교 3
 
4.2%
학 2
 
2.8%
일 2
 
2.8%
Other values (25) 32
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
97.2%
Other Punctuation 2
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 8
 
11.4%
류 8
 
11.4%
정 4
 
5.7%
기 4
 
5.7%
생 3
 
4.3%
활 3
 
4.3%
보 3
 
4.3%
교 3
 
4.3%
학 2
 
2.9%
일 2
 
2.9%
Other values (23) 30
42.9%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
97.2%
Common 2
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 8
 
11.4%
류 8
 
11.4%
정 4
 
5.7%
기 4
 
5.7%
생 3
 
4.3%
활 3
 
4.3%
보 3
 
4.3%
교 3
 
4.3%
학 2
 
2.9%
일 2
 
2.9%
Other values (23) 30
42.9%
Common
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
97.2%
ASCII 2
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 8
 
11.4%
류 8
 
11.4%
정 4
 
5.7%
기 4
 
5.7%
생 3
 
4.3%
활 3
 
4.3%
보 3
 
4.3%
교 3
 
4.3%
학 2
 
2.9%
일 2
 
2.9%
Other values (23) 30
42.9%
ASCII
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

유/무가
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
무가
14 
유가
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무가 14
58.3%
유가 10
41.7%

Length

2023-12-11T01:48:56.219317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:48:56.461199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무가 14
58.3%
유가 10
41.7%

발행소명
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing7
Missing (%)29.2%
Memory size324.0 B
2023-12-11T01:48:56.791944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length10.823529
Min length2

Characters and Unicode

Total characters184
Distinct characters79
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

Unique17 ?
Unique (%)100.0%

Sample

1st row(사)목요학술회 이사
2nd row보금주택개발(주)
3rd row사단법인 노인과복지
4th row사단법인 한국예술문화단체총연합회(부산시연합회)
5th row(주)정보엠
ValueCountFrequency (%)
사단법인 3
 
13.0%
사)목요학술회 1
 
4.3%
사)한국해기사협회 1
 
4.3%
대한민국건국회 1
 
4.3%
사단법인부산기독교총연합회 1
 
4.3%
부산시인협회 1
 
4.3%
3661지구 1
 
4.3%
사)국제로타리 1
 
4.3%
한국인 1
 
4.3%
주식회사 1
 
4.3%
Other values (11) 11
47.8%
2023-12-11T01:48:57.732536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 13
 
7.1%
회 11
 
6.0%
) 9
 
4.9%
국 7
 
3.8%
부 7
 
3.8%
인 7
 
3.8%
( 7
 
3.8%
한 6
 
3.3%
6
 
3.3%
단 5
 
2.7%
Other values (69) 106
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
85.9%
Close Punctuation 9
 
4.9%
Open Punctuation 7
 
3.8%
Space Separator 6
 
3.3%
Decimal Number 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
8.2%
회 11
 
7.0%
국 7
 
4.4%
부 7
 
4.4%
인 7
 
4.4%
한 6
 
3.8%
단 5
 
3.2%
산 5
 
3.2%
법 4
 
2.5%
합 4
 
2.5%
Other values (63) 89
56.3%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
3 1
25.0%
1 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
85.9%
Common 26
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
8.2%
회 11
 
7.0%
국 7
 
4.4%
부 7
 
4.4%
인 7
 
4.4%
한 6
 
3.8%
단 5
 
3.2%
산 5
 
3.2%
법 4
 
2.5%
합 4
 
2.5%
Other values (63) 89
56.3%
Common
ValueCountFrequency (%)
) 9
34.6%
( 7
26.9%
6
23.1%
6 2
 
7.7%
3 1
 
3.8%
1 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
85.9%
ASCII 26
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 13
 
8.2%
회 11
 
7.0%
국 7
 
4.4%
부 7
 
4.4%
인 7
 
4.4%
한 6
 
3.8%
단 5
 
3.2%
산 5
 
3.2%
법 4
 
2.5%
합 4
 
2.5%
Other values (63) 89
56.3%
ASCII
ValueCountFrequency (%)
) 9
34.6%
( 7
26.9%
6
23.1%
6 2
 
7.7%
3 1
 
3.8%
1 1
 
3.8%

발행소 주소
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:48:58.211242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length32.041667
Min length18

Characters and Unicode

Total characters769
Distinct characters80
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

Unique21 ?
Unique (%)87.5%

Sample

1st row부산광역시 동구 고관로 125 (수정동)
2nd row부산광역시 동구 자성공원로3번길 19-3, 나동 1017호 (범일동, 한성기린프라자)
3rd row부산광역시 동구 중앙대로 192, 708호 (초량동, 대한교직원공제회)
4th row부산광역시 동구 중앙대로 319 (초량동, 부산Y.M.C.A빌딩)
5th row부산광역시 동구 자성로133번길 16 (범일동, 부산시민회관)
ValueCountFrequency (%)
부산광역시 24
16.4%
동구 24
16.4%
초량동 11
 
7.5%
중앙대로 10
 
6.8%
328 4
 
2.7%
금산빌딩 4
 
2.7%
범일동 4
 
2.7%
503호 3
 
2.1%
수정동 3
 
2.1%
319 2
 
1.4%
Other values (50) 57
39.0%
2023-12-11T01:48:58.929850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
15.9%
동 46
 
6.0%
산 31
 
4.0%
3 28
 
3.6%
, 28
 
3.6%
부 27
 
3.5%
시 27
 
3.5%
광 24
 
3.1%
역 24
 
3.1%
구 24
 
3.1%
Other values (70) 388
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
57.1%
Decimal Number 123
 
16.0%
Space Separator 122
 
15.9%
Other Punctuation 31
 
4.0%
Open Punctuation 21
 
2.7%
Close Punctuation 21
 
2.7%
Uppercase Letter 8
 
1.0%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 46
 
10.5%
산 31
 
7.1%
부 27
 
6.2%
시 27
 
6.2%
광 24
 
5.5%
역 24
 
5.5%
구 24
 
5.5%
로 24
 
5.5%
대 17
 
3.9%
중 15
 
3.4%
Other values (50) 180
41.0%
Decimal Number
ValueCountFrequency (%)
3 28
22.8%
1 16
13.0%
0 15
12.2%
2 14
11.4%
8 13
10.6%
6 8
 
6.5%
7 8
 
6.5%
5 8
 
6.5%
9 7
 
5.7%
4 6
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
Y 2
25.0%
C 2
25.0%
M 2
25.0%
A 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 28
90.3%
. 3
 
9.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 439
57.1%
Common 322
41.9%
Latin 8
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 46
 
10.5%
산 31
 
7.1%
부 27
 
6.2%
시 27
 
6.2%
광 24
 
5.5%
역 24
 
5.5%
구 24
 
5.5%
로 24
 
5.5%
대 17
 
3.9%
중 15
 
3.4%
Other values (50) 180
41.0%
Common
ValueCountFrequency (%)
122
37.9%
3 28
 
8.7%
, 28
 
8.7%
( 21
 
6.5%
) 21
 
6.5%
1 16
 
5.0%
0 15
 
4.7%
2 14
 
4.3%
8 13
 
4.0%
6 8
 
2.5%
Other values (6) 36
 
11.2%
Latin
ValueCountFrequency (%)
Y 2
25.0%
C 2
25.0%
M 2
25.0%
A 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
57.1%
ASCII 330
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
37.0%
3 28
 
8.5%
, 28
 
8.5%
( 21
 
6.4%
) 21
 
6.4%
1 16
 
4.8%
0 15
 
4.5%
2 14
 
4.2%
8 13
 
3.9%
6 8
 
2.4%
Other values (10) 44
 
13.3%
Hangul
ValueCountFrequency (%)
동 46
 
10.5%
산 31
 
7.1%
부 27
 
6.2%
시 27
 
6.2%
광 24
 
5.5%
역 24
 
5.5%
구 24
 
5.5%
로 24
 
5.5%
대 17
 
3.9%
중 15
 
3.4%
Other values (50) 180
41.0%

Interactions

2023-12-11T01:48:51.750212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:48:59.134443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호제호종별간별성격유/무가발행소명발행소 주소
연번1.0001.0001.0000.6420.3010.3480.0001.0000.955
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
제호1.0001.0001.0001.0001.0001.0001.0001.0001.000
종별0.6421.0001.0001.0000.4910.2910.0001.0000.630
간별0.3011.0001.0000.4911.0000.7240.0001.0001.000
성격0.3481.0001.0000.2910.7241.0000.2841.0000.759
유/무가0.0001.0001.0000.0000.0000.2841.0001.0001.000
발행소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
발행소 주소0.9551.0001.0000.6301.0000.7591.0001.0001.000
2023-12-11T01:48:59.524733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별간별유/무가
종별1.0000.1920.000
간별0.1921.0000.000
유/무가0.0000.0001.000
2023-12-11T01:48:59.726882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별간별유/무가
연번1.0000.3820.0220.000
종별0.3821.0000.1920.000
간별0.0220.1921.0000.000
유/무가0.0000.0000.0001.000

Missing values

2023-12-11T01:48:51.897457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:48:52.073177image/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.
2023-12-11T01:48:52.223380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번등록번호제호종별간별성격유/무가발행소명발행소 주소
01라00016시민시대잡지월간지역기타유가(사)목요학술회 이사부산광역시 동구 고관로 125 (수정동)
12라00003법률속보기타간행물월간법률.행정유가<NA>부산광역시 동구 자성공원로3번길 19-3, 나동 1017호 (범일동, 한성기린프라자)
23라00001실버유토피아기타간행물월간복지,노인무가보금주택개발(주)부산광역시 동구 중앙대로 192, 708호 (초량동, 대한교직원공제회)
34바00001노인이 행복한 세상기타간행물계간생활정보무가사단법인 노인과복지부산광역시 동구 중앙대로 319 (초량동, 부산Y.M.C.A빌딩)
45마00001예술부산뉴스기타간행물격월간예술일반무가사단법인 한국예술문화단체총연합회(부산시연합회)부산광역시 동구 자성로133번길 16 (범일동, 부산시민회관)
56라00002한국노동안전기타간행물월간노무관리유가<NA>부산광역시 동구 수정중로37번길 1 (수정동)
67가00001생활정보소개 114정보간행물일간생활정보무가<NA>부산광역시 동구 대영로243번길 109 (초량동)
78가00002부산정보정보간행물일간생활정보유가(주)정보엠부산광역시 동구 중앙대로 328, 803호 (초량동, 금산빌딩)
89라00005월간 그립습니다기타간행물월간총류유가<NA>부산광역시 동구 조방로 48, 549호 (범일동, 자유시장)
910라00007아트월드 21기타간행물월간미술일반무가한국현대미술협회부산광역시 동구 조방로 48 (범일동, 자유시장)
연번등록번호제호종별간별성격유/무가발행소명발행소 주소
1415라00014월간海바라기정보간행물월간총류무가(사)한국해기사협회부산광역시 동구 중앙대로180번길 해기사회관 5층
1516라00024한국녹색환경신보잡지월간총류유가(사)지구녹색환경연합회부산광역시 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
1617바00002&#20320;好釜山정보간행물계간관광무가<NA>부산광역시 동구 중앙대로236번길 7-10
1718라00020동감에서동감으로잡지월간총류무가<NA>부산광역시 동구 중앙대로 356 3층
1819라00022釜山文學(부산문학)잡지월간총류유가주식회사 한국인부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
1920라00021로타리 부산NEWS잡지월간총류무가(사)국제로타리 3661지구부산광역시 동구 중앙대로 319 10층(초량동, 부산YMCA빌딩)
2021바00004부산시인잡지계간문학유가사단법인 부산시인협회부산광역시 동구 중앙대로 288, 702호 (초량동, 성지빌딩)
2122사00002부산기독교총연합회신문기타간행물연2회간기독교무가사단법인부산기독교총연합회부산광역시 동구 중앙대로 267 (초량동), 601호(신동빌딩)
2223라00026보훈건국신문정보간행물월간기타유가대한민국건국회부산광역시 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
2324라00025글로벌가족신문정보간행물월간사회과학유가글로벌행복한가족운동본부부산광역시 동구 중앙대로 328, 503호 (초량동, 금산빌딩)