Overview

Dataset statistics

Number of variables9
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory77.6 B

Variable types

Numeric1
Text5
Categorical3

Dataset

Description부산광역시 동구 정기간행물 현황에 대한 데이터로 정기간행물의 제호, 발행소명, 발행소주소 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/3079104/fileData.do

Alerts

연번 has unique valuesUnique
등록번호 has unique valuesUnique
제호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:16:15.427892
Analysis finished2023-12-12 17:16:16.196721
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T02:16:16.314322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly decreasing
2023-12-13T02:16:16.489391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29 1
 
3.4%
28 1
 
3.4%
1 1
 
3.4%
2 1
 
3.4%
3 1
 
3.4%
4 1
 
3.4%
5 1
 
3.4%
6 1
 
3.4%
7 1
 
3.4%
8 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

등록번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:16:16.756560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0344828
Min length6

Characters and Unicode

Total characters175
Distinct characters18
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

Unique29 ?
Unique (%)100.0%

Sample

1st row사00005
2nd row바00005
3rd row바00006
4th row바00007
5th row라00028
ValueCountFrequency (%)
사00005 1
 
3.4%
다00002 1
 
3.4%
라00003 1
 
3.4%
라00001 1
 
3.4%
바00001 1
 
3.4%
마00001 1
 
3.4%
라00002 1
 
3.4%
가00001 1
 
3.4%
가00002 1
 
3.4%
라00005 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T02:16:17.183074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 107
61.1%
라 14
 
8.0%
2 13
 
7.4%
1 8
 
4.6%
바 7
 
4.0%
5 4
 
2.3%
4 3
 
1.7%
6 3
 
1.7%
3 3
 
1.7%
마 2
 
1.1%
Other values (8) 11
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
82.3%
Other Letter 31
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
74.3%
2 13
 
9.0%
1 8
 
5.6%
5 4
 
2.8%
4 3
 
2.1%
6 3
 
2.1%
3 3
 
2.1%
7 2
 
1.4%
8 1
 
0.7%
Other Letter
ValueCountFrequency (%)
라 14
45.2%
바 7
22.6%
마 2
 
6.5%
사 2
 
6.5%
가 2
 
6.5%
다 1
 
3.2%
부 1
 
3.2%
산 1
 
3.2%
동 1
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 144
82.3%
Hangul 31
 
17.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 107
74.3%
2 13
 
9.0%
1 8
 
5.6%
5 4
 
2.8%
4 3
 
2.1%
6 3
 
2.1%
3 3
 
2.1%
7 2
 
1.4%
8 1
 
0.7%
Hangul
ValueCountFrequency (%)
라 14
45.2%
바 7
22.6%
마 2
 
6.5%
사 2
 
6.5%
가 2
 
6.5%
다 1
 
3.2%
부 1
 
3.2%
산 1
 
3.2%
동 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
82.3%
Hangul 31
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 107
74.3%
2 13
 
9.0%
1 8
 
5.6%
5 4
 
2.8%
4 3
 
2.1%
6 3
 
2.1%
3 3
 
2.1%
7 2
 
1.4%
8 1
 
0.7%
Hangul
ValueCountFrequency (%)
라 14
45.2%
바 7
22.6%
마 2
 
6.5%
사 2
 
6.5%
가 2
 
6.5%
다 1
 
3.2%
부 1
 
3.2%
산 1
 
3.2%
동 1
 
3.2%

제호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:16:17.515549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.8965517
Min length4

Characters and Unicode

Total characters229
Distinct characters124
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

Unique29 ?
Unique (%)100.0%

Sample

1st row집 앞 목욕탕
2nd row季刊 小說界(계간 소설계)
3rd row季刊 詩界(계간 시계)
4th row季刊 隨筆界(계간 수필계)
5th row월간 동서포럼
ValueCountFrequency (%)
季刊 3
 
6.2%
행복한 2
 
4.2%
세상 2
 
4.2%
월간 2
 
4.2%
집 1
 
2.1%
그립습니다 1
 
2.1%
타임 1
 
2.1%
관광부산 1
 
2.1%
나눔이 1
 
2.1%
있는 1
 
2.1%
Other values (33) 33
68.8%
2023-12-13T02:16:17.957957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
8.3%
산 7
 
3.1%
부 7
 
3.1%
간 6
 
2.6%
계 6
 
2.6%
보 5
 
2.2%
스 4
 
1.7%
( 4
 
1.7%
) 4
 
1.7%
동 4
 
1.7%
Other values (114) 163
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
80.8%
Space Separator 19
 
8.3%
Decimal Number 10
 
4.4%
Open Punctuation 4
 
1.7%
Close Punctuation 4
 
1.7%
Uppercase Letter 4
 
1.7%
Other Punctuation 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 7
 
3.8%
부 7
 
3.8%
간 6
 
3.2%
계 6
 
3.2%
보 5
 
2.7%
스 4
 
2.2%
동 4
 
2.2%
문 4
 
2.2%
신 4
 
2.2%
시 4
 
2.2%
Other values (99) 134
72.4%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 3
30.0%
0 2
20.0%
4 1
 
10.0%
3 1
 
10.0%
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 (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
71.2%
Common 40
 
17.5%
Han 22
 
9.6%
Latin 4
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 7
 
4.3%
부 7
 
4.3%
간 6
 
3.7%
계 6
 
3.7%
보 5
 
3.1%
스 4
 
2.5%
동 4
 
2.5%
문 4
 
2.5%
신 4
 
2.5%
시 4
 
2.5%
Other values (85) 112
68.7%
Han
ValueCountFrequency (%)
界 3
13.6%
刊 3
13.6%
季 3
13.6%
山 2
9.1%
釜 2
9.1%
筆 1
 
4.5%
海 1
 
4.5%
隨 1
 
4.5%
詩 1
 
4.5%
說 1
 
4.5%
Other values (4) 4
18.2%
Common
ValueCountFrequency (%)
19
47.5%
( 4
 
10.0%
) 4
 
10.0%
1 3
 
7.5%
2 3
 
7.5%
0 2
 
5.0%
4 1
 
2.5%
; 1
 
2.5%
3 1
 
2.5%
# 1
 
2.5%
Latin
ValueCountFrequency (%)
S 1
25.0%
W 1
25.0%
E 1
25.0%
N 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
71.2%
ASCII 44
 
19.2%
CJK 22
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
43.2%
( 4
 
9.1%
) 4
 
9.1%
1 3
 
6.8%
2 3
 
6.8%
0 2
 
4.5%
4 1
 
2.3%
; 1
 
2.3%
3 1
 
2.3%
# 1
 
2.3%
Other values (5) 5
 
11.4%
Hangul
ValueCountFrequency (%)
산 7
 
4.3%
부 7
 
4.3%
간 6
 
3.7%
계 6
 
3.7%
보 5
 
3.1%
스 4
 
2.5%
동 4
 
2.5%
문 4
 
2.5%
신 4
 
2.5%
시 4
 
2.5%
Other values (85) 112
68.7%
CJK
ValueCountFrequency (%)
界 3
13.6%
刊 3
13.6%
季 3
13.6%
山 2
9.1%
釜 2
9.1%
筆 1
 
4.5%
海 1
 
4.5%
隨 1
 
4.5%
詩 1
 
4.5%
說 1
 
4.5%
Other values (4) 4
18.2%

종별
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
잡지
11 
기타간행물
11 
정보간행물
7 

Length

Max length5
Median length5
Mean length3.862069
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
잡지 11
37.9%
기타간행물 11
37.9%
정보간행물 7
24.1%

Length

2023-12-13T02:16:18.123298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:18.283535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
잡지 11
37.9%
기타간행물 11
37.9%
정보간행물 7
24.1%

간별
Categorical

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
월간
14 
계간
7 
연2회간
2 
격월간
2 
일간
2 
Other values (2)
2 

Length

Max length4
Median length2
Mean length2.2413793
Min length2

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
월간 14
48.3%
계간 7
24.1%
연2회간 2
 
6.9%
격월간 2
 
6.9%
일간 2
 
6.9%
주간 1
 
3.4%
격주간 1
 
3.4%

Length

2023-12-13T02:16:18.432789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:18.617375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 14
48.3%
계간 7
24.1%
연2회간 2
 
6.9%
격월간 2
 
6.9%
일간 2
 
6.9%
주간 1
 
3.4%
격주간 1
 
3.4%

성격
Text

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:16:18.794629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.7586207
Min length1

Characters and Unicode

Total characters80
Distinct characters40
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

Unique14 ?
Unique (%)48.3%

Sample

1st row문화일반
2nd row소설
3rd row시
4th row수필
5th row총류
ValueCountFrequency (%)
총류 10
34.5%
생활정보 3
 
10.3%
기타 2
 
6.9%
문학 1
 
3.4%
문화일반 1
 
3.4%
종교 1
 
3.4%
복지,노인 1
 
3.4%
예술일반 1
 
3.4%
노무관리 1
 
3.4%
소설 1
 
3.4%
Other values (7) 7
24.1%
2023-12-13T02:16:19.158527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 10
 
12.5%
류 10
 
12.5%
정 4
 
5.0%
생 3
 
3.8%
활 3
 
3.8%
보 3
 
3.8%
기 3
 
3.8%
반 3
 
3.8%
일 3
 
3.8%
학 2
 
2.5%
Other values (30) 36
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
97.5%
Other Punctuation 2
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 10
 
12.8%
류 10
 
12.8%
정 4
 
5.1%
생 3
 
3.8%
활 3
 
3.8%
보 3
 
3.8%
기 3
 
3.8%
반 3
 
3.8%
일 3
 
3.8%
학 2
 
2.6%
Other values (28) 34
43.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
97.5%
Common 2
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 10
 
12.8%
류 10
 
12.8%
정 4
 
5.1%
생 3
 
3.8%
활 3
 
3.8%
보 3
 
3.8%
기 3
 
3.8%
반 3
 
3.8%
일 3
 
3.8%
학 2
 
2.6%
Other values (28) 34
43.6%
Common
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
97.5%
ASCII 2
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 10
 
12.8%
류 10
 
12.8%
정 4
 
5.1%
생 3
 
3.8%
활 3
 
3.8%
보 3
 
3.8%
기 3
 
3.8%
반 3
 
3.8%
일 3
 
3.8%
학 2
 
2.6%
Other values (28) 34
43.6%
ASCII
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%

유무가
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
유가
15 
무가
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유가 15
51.7%
무가 14
48.3%

Length

2023-12-13T02:16:19.350531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:16:19.484875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유가 15
51.7%
무가 14
48.3%

발행소명
Text

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:16:19.687791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length8.6206897
Min length2

Characters and Unicode

Total characters250
Distinct characters90
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

Unique18 ?
Unique (%)62.1%

Sample

1st row주식회사 싸이트브랜딩
2nd row주식회사 한국인
3rd row주식회사 한국인
4th row주식회사 한국인
5th row김춘식
ValueCountFrequency (%)
자료없음 7
17.9%
주식회사 5
 
12.8%
한국인 4
 
10.3%
사단법인 3
 
7.7%
사)생명나눔실천부산지역본부 1
 
2.6%
사)목요학술회 1
 
2.6%
싸이트브랜딩 1
 
2.6%
양원 1
 
2.6%
보금주택개발(주 1
 
2.6%
노인과복지 1
 
2.6%
Other values (14) 14
35.9%
2023-12-13T02:16:20.411090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 17
 
6.8%
회 15
 
6.0%
10
 
4.0%
국 10
 
4.0%
인 10
 
4.0%
한 9
 
3.6%
) 9
 
3.6%
주 8
 
3.2%
자 7
 
2.8%
료 7
 
2.8%
Other values (80) 148
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
88.0%
Space Separator 10
 
4.0%
Close Punctuation 9
 
3.6%
Open Punctuation 7
 
2.8%
Decimal Number 4
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 17
 
7.7%
회 15
 
6.8%
국 10
 
4.5%
인 10
 
4.5%
한 9
 
4.1%
주 8
 
3.6%
자 7
 
3.2%
료 7
 
3.2%
없 7
 
3.2%
음 7
 
3.2%
Other values (74) 123
55.9%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
3 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
88.0%
Common 30
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 17
 
7.7%
회 15
 
6.8%
국 10
 
4.5%
인 10
 
4.5%
한 9
 
4.1%
주 8
 
3.6%
자 7
 
3.2%
료 7
 
3.2%
없 7
 
3.2%
음 7
 
3.2%
Other values (74) 123
55.9%
Common
ValueCountFrequency (%)
10
33.3%
) 9
30.0%
( 7
23.3%
6 2
 
6.7%
3 1
 
3.3%
1 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
88.0%
ASCII 30
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 17
 
7.7%
회 15
 
6.8%
국 10
 
4.5%
인 10
 
4.5%
한 9
 
4.1%
주 8
 
3.6%
자 7
 
3.2%
료 7
 
3.2%
없 7
 
3.2%
음 7
 
3.2%
Other values (74) 123
55.9%
ASCII
ValueCountFrequency (%)
10
33.3%
) 9
30.0%
( 7
23.3%
6 2
 
6.7%
3 1
 
3.3%
1 1
 
3.3%

발행소 주소
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T02:16:20.704514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length31.862069
Min length20

Characters and Unicode

Total characters924
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

Unique22 ?
Unique (%)75.9%

Sample

1st row부산 동구 중앙대로226번길 3-8 (초량동), 10층
2nd row부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
3rd row부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
4th row부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
5th row부산 동구 자성로133번길 49, 5층 2-1 (범일동)
ValueCountFrequency (%)
동구 29
16.4%
부산광역시 19
 
10.7%
초량동 12
 
6.8%
중앙대로 11
 
6.2%
부산 10
 
5.6%
328 5
 
2.8%
범일동 5
 
2.8%
금산빌딩 5
 
2.8%
3층(초량동 5
 
2.8%
7-3 4
 
2.3%
Other values (55) 72
40.7%
2023-12-13T02:16:21.146535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
16.1%
동 58
 
6.3%
3 43
 
4.7%
산 37
 
4.0%
, 36
 
3.9%
부 32
 
3.5%
구 29
 
3.1%
로 29
 
3.1%
) 28
 
3.0%
( 28
 
3.0%
Other values (70) 455
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 503
54.4%
Decimal Number 159
 
17.2%
Space Separator 149
 
16.1%
Other Punctuation 39
 
4.2%
Close Punctuation 28
 
3.0%
Open Punctuation 28
 
3.0%
Dash Punctuation 10
 
1.1%
Uppercase Letter 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 58
 
11.5%
산 37
 
7.4%
부 32
 
6.4%
구 29
 
5.8%
로 29
 
5.8%
시 22
 
4.4%
대 22
 
4.4%
중 20
 
4.0%
역 19
 
3.8%
광 19
 
3.8%
Other values (50) 216
42.9%
Decimal Number
ValueCountFrequency (%)
3 43
27.0%
1 21
13.2%
2 19
11.9%
0 17
 
10.7%
8 16
 
10.1%
7 10
 
6.3%
5 9
 
5.7%
6 9
 
5.7%
4 8
 
5.0%
9 7
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
M 2
25.0%
Y 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 36
92.3%
. 3
 
7.7%
Space Separator
ValueCountFrequency (%)
149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 503
54.4%
Common 413
44.7%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 58
 
11.5%
산 37
 
7.4%
부 32
 
6.4%
구 29
 
5.8%
로 29
 
5.8%
시 22
 
4.4%
대 22
 
4.4%
중 20
 
4.0%
역 19
 
3.8%
광 19
 
3.8%
Other values (50) 216
42.9%
Common
ValueCountFrequency (%)
149
36.1%
3 43
 
10.4%
, 36
 
8.7%
) 28
 
6.8%
( 28
 
6.8%
1 21
 
5.1%
2 19
 
4.6%
0 17
 
4.1%
8 16
 
3.9%
- 10
 
2.4%
Other values (6) 46
 
11.1%
Latin
ValueCountFrequency (%)
A 2
25.0%
C 2
25.0%
M 2
25.0%
Y 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 503
54.4%
ASCII 421
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
35.4%
3 43
 
10.2%
, 36
 
8.6%
) 28
 
6.7%
( 28
 
6.7%
1 21
 
5.0%
2 19
 
4.5%
0 17
 
4.0%
8 16
 
3.8%
- 10
 
2.4%
Other values (10) 54
 
12.8%
Hangul
ValueCountFrequency (%)
동 58
 
11.5%
산 37
 
7.4%
부 32
 
6.4%
구 29
 
5.8%
로 29
 
5.8%
시 22
 
4.4%
대 22
 
4.4%
중 20
 
4.0%
역 19
 
3.8%
광 19
 
3.8%
Other values (50) 216
42.9%

Interactions

2023-12-13T02:16:15.833033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:16:21.260865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호제호종별간별성격유무가발행소명발행소 주소
연번1.0001.0001.0000.7150.6320.6920.5770.6590.795
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
제호1.0001.0001.0001.0001.0001.0001.0001.0001.000
종별0.7151.0001.0001.0000.4110.6730.2600.7500.958
간별0.6321.0001.0000.4111.0000.8600.0000.7340.986
성격0.6921.0001.0000.6730.8601.0000.0000.0000.000
유무가0.5771.0001.0000.2600.0000.0001.0000.6951.000
발행소명0.6591.0001.0000.7500.7340.0000.6951.0000.964
발행소 주소0.7951.0001.0000.9580.9860.0001.0000.9641.000
2023-12-13T02:16:21.386015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별유무가간별
종별1.0000.4130.266
유무가0.4131.0000.000
간별0.2660.0001.000
2023-12-13T02:16:21.482731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별간별유무가
연번1.0000.4840.2070.393
종별0.4841.0000.2660.413
간별0.2070.2661.0000.000
유무가0.3930.4130.0001.000

Missing values

2023-12-13T02:16:15.962265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:16:16.134640image/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
029사00005집 앞 목욕탕잡지연2회간문화일반유가주식회사 싸이트브랜딩부산 동구 중앙대로226번길 3-8 (초량동), 10층
128바00005季刊 小說界(계간 소설계)잡지계간소설유가주식회사 한국인부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
227바00006季刊 詩界(계간 시계)잡지계간시유가주식회사 한국인부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
326바00007季刊 隨筆界(계간 수필계)잡지계간수필유가주식회사 한국인부산광역시 동구 중앙대로308번길 7-3, 3층(초량동)
425라00028월간 동서포럼잡지월간총류유가김춘식부산 동구 자성로133번길 49, 5층 2-1 (범일동)
524라00025글로벌가족신문정보간행물월간사회과학유가글로벌행복한가족운동본부부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
623라00026보훈건국신문정보간행물월간기타유가대한민국건국회부산 동구 중앙대로 328, 503호 (초량동, 금산빌딩)
722사00002부산기독교총연합회신문기타간행물연2회간기독교무가사단법인부산기독교총연합회부산 동구 중앙대로 267 (초량동), 601호(신동빌딩)
821바00004부산시인잡지계간문학유가사단법인 부산시인협회부산 동구 중앙대로 324 (초량동, 성운빌딩), 2층
920라00021로타리 부산NEWS잡지월간총류무가(사)국제로타리 3661지구부산 동구 중앙대로 319 10층(초량동, 부산YMCA빌딩)
연번등록번호제호종별간별성격유무가발행소명발행소 주소
1910라00007아트월드 21기타간행물월간미술일반무가한국현대미술협회부산광역시 동구 조방로 48 (범일동, 자유시장)
209라00005월간 그립습니다기타간행물월간총류유가자료없음부산광역시 동구 조방로 48, 549호 (범일동, 자유시장)
218가00002부산정보정보간행물일간생활정보유가(주)정보엠부산광역시 동구 중앙대로 328, 803호 (초량동, 금산빌딩)
227가00001생활정보소개 114정보간행물일간생활정보무가자료없음부산광역시 동구 대영로243번길 109 (초량동)
236라00002한국노동안전기타간행물월간노무관리유가자료없음부산광역시 동구 수정중로37번길 1 (수정동)
245마00001예술부산뉴스기타간행물격월간예술일반무가사단법인 한국예술문화단체총연합회(부산시연합회)부산광역시 동구 자성로133번길 16 (범일동, 부산시민회관)
254바00001노인이 행복한 세상기타간행물계간생활정보무가사단법인 노인과복지부산광역시 동구 중앙대로 319 (초량동, 부산Y.M.C.A빌딩)
263라00001실버유토피아기타간행물월간복지,노인무가보금주택개발(주)부산광역시 동구 중앙대로 192, 708호 (초량동, 대한교직원공제회)
272라00003법률속보기타간행물월간법률.행정유가자료없음부산광역시 동구 자성공원로3번길 19-3, 나동 1017호 (범일동, 한성기린프라자)
281라00016시민시대잡지월간총류유가(사)목요학술회 이사부산광역시 동구 고관로 125 (수정동)