Overview

Dataset statistics

Number of variables6
Number of observations54
Missing cells4
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory51.4 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천광역시 부평구 정기간행물 등록 현황 데이터는 정기간행물의 제호, 종별, 인쇄소명, 인쇄소 주소, 등록일자에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102663&srcSe=7661IVAWM27C61E190

Alerts

인쇄소명 has 2 (3.7%) missing valuesMissing
인쇄소주소 has 2 (3.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:07:09.993062
Analysis finished2024-03-18 05:07:12.666196
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-03-18T14:07:12.760848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2024-03-18T14:07:12.894239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

제호
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-18T14:07:13.168055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.4074074
Min length2

Characters and Unicode

Total characters400
Distinct characters205
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row미륵법보
2nd row인천벼룩시장
3rd row열우물소식
4th row같이가요
5th row동행
ValueCountFrequency (%)
유통세계 2
 
2.5%
에스바디워크필라테스 2
 
2.5%
몸 1
 
1.2%
the 1
 
1.2%
아우름 1
 
1.2%
소식지 1
 
1.2%
부평중소기업협의회 1
 
1.2%
지킨다 1
 
1.2%
내가 1
 
1.2%
건강 1
 
1.2%
Other values (68) 68
85.0%
2024-03-18T14:07:13.618899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
6.5%
T 8
 
2.0%
문 8
 
2.0%
인 7
 
1.8%
스 7
 
1.8%
계 6
 
1.5%
사 6
 
1.5%
가 5
 
1.2%
이 5
 
1.2%
세 5
 
1.2%
Other values (195) 317
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
77.0%
Uppercase Letter 35
 
8.8%
Space Separator 26
 
6.5%
Lowercase Letter 17
 
4.2%
Decimal Number 4
 
1.0%
Open Punctuation 3
 
0.8%
Close Punctuation 3
 
0.8%
Dash Punctuation 2
 
0.5%
Other Punctuation 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 8
 
2.6%
인 7
 
2.3%
스 7
 
2.3%
계 6
 
1.9%
사 6
 
1.9%
가 5
 
1.6%
이 5
 
1.6%
세 5
 
1.6%
교 5
 
1.6%
진 5
 
1.6%
Other values (161) 249
80.8%
Uppercase Letter
ValueCountFrequency (%)
T 8
22.9%
A 4
11.4%
O 3
 
8.6%
P 2
 
5.7%
I 2
 
5.7%
L 2
 
5.7%
S 2
 
5.7%
V 2
 
5.7%
C 2
 
5.7%
R 2
 
5.7%
Other values (6) 6
17.1%
Lowercase Letter
ValueCountFrequency (%)
i 4
23.5%
n 3
17.6%
o 2
11.8%
s 2
11.8%
e 1
 
5.9%
h 1
 
5.9%
m 1
 
5.9%
p 1
 
5.9%
c 1
 
5.9%
k 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
76.0%
Latin 52
 
13.0%
Common 40
 
10.0%
Han 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 8
 
2.6%
인 7
 
2.3%
스 7
 
2.3%
계 6
 
2.0%
사 6
 
2.0%
가 5
 
1.6%
이 5
 
1.6%
세 5
 
1.6%
교 5
 
1.6%
진 5
 
1.6%
Other values (157) 245
80.6%
Latin
ValueCountFrequency (%)
T 8
 
15.4%
i 4
 
7.7%
A 4
 
7.7%
O 3
 
5.8%
n 3
 
5.8%
o 2
 
3.8%
P 2
 
3.8%
s 2
 
3.8%
I 2
 
3.8%
L 2
 
3.8%
Other values (16) 20
38.5%
Common
ValueCountFrequency (%)
26
65.0%
( 3
 
7.5%
) 3
 
7.5%
- 2
 
5.0%
1 2
 
5.0%
2 2
 
5.0%
, 1
 
2.5%
+ 1
 
2.5%
Han
ValueCountFrequency (%)
英 1
25.0%
雲 1
25.0%
紫 1
25.0%
人 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
76.0%
ASCII 92
 
23.0%
CJK 4
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
28.3%
T 8
 
8.7%
i 4
 
4.3%
A 4
 
4.3%
O 3
 
3.3%
n 3
 
3.3%
( 3
 
3.3%
) 3
 
3.3%
o 2
 
2.2%
P 2
 
2.2%
Other values (24) 34
37.0%
Hangul
ValueCountFrequency (%)
문 8
 
2.6%
인 7
 
2.3%
스 7
 
2.3%
계 6
 
2.0%
사 6
 
2.0%
가 5
 
1.6%
이 5
 
1.6%
세 5
 
1.6%
교 5
 
1.6%
진 5
 
1.6%
Other values (157) 245
80.6%
CJK
ValueCountFrequency (%)
英 1
25.0%
雲 1
25.0%
紫 1
25.0%
人 1
25.0%

종별
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
잡지
26 
기타간행물
17 
정보간행물
9 
일반주간신문
 
1
전자간행물
 
1

Length

Max length6
Median length5.5
Mean length3.5740741
Min length2

Unique

Unique2 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
잡지 26
48.1%
기타간행물 17
31.5%
정보간행물 9
 
16.7%
일반주간신문 1
 
1.9%
전자간행물 1
 
1.9%

Length

2024-03-18T14:07:13.780332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:07:13.897958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
잡지 26
48.1%
기타간행물 17
31.5%
정보간행물 9
 
16.7%
일반주간신문 1
 
1.9%
전자간행물 1
 
1.9%

인쇄소명
Text

MISSING 

Distinct42
Distinct (%)80.8%
Missing2
Missing (%)3.7%
Memory size564.0 B
2024-03-18T14:07:14.090050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.0576923
Min length2

Characters and Unicode

Total characters367
Distinct characters116
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)69.2%

Sample

1st row태환문화사 대표
2nd row(주)아이피디
3rd row청림인쇄소
4th row동양문화사
5th row성우칼라
ValueCountFrequency (%)
주)아이피디 5
 
8.6%
주식회사 3
 
5.2%
한국컴퓨터인쇄정보 3
 
5.2%
주)클러스트벤처스 2
 
3.4%
완산정판 2
 
3.4%
연재문화사 2
 
3.4%
주)애드샵컴퍼니 2
 
3.4%
주 2
 
3.4%
세연피앤피 1
 
1.7%
대표 1
 
1.7%
Other values (35) 35
60.3%
2024-03-18T14:07:14.395727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 22
 
6.0%
) 20
 
5.4%
( 20
 
5.4%
16
 
4.4%
인 15
 
4.1%
피 13
 
3.5%
사 12
 
3.3%
쇄 12
 
3.3%
이 12
 
3.3%
아 10
 
2.7%
Other values (106) 215
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
83.9%
Close Punctuation 20
 
5.4%
Open Punctuation 20
 
5.4%
Space Separator 16
 
4.4%
Uppercase Letter 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
7.1%
인 15
 
4.9%
피 13
 
4.2%
사 12
 
3.9%
쇄 12
 
3.9%
이 12
 
3.9%
아 10
 
3.2%
디 8
 
2.6%
컴 7
 
2.3%
화 7
 
2.3%
Other values (100) 190
61.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
O 1
33.3%
P 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
83.9%
Common 56
 
15.3%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
7.1%
인 15
 
4.9%
피 13
 
4.2%
사 12
 
3.9%
쇄 12
 
3.9%
이 12
 
3.9%
아 10
 
3.2%
디 8
 
2.6%
컴 7
 
2.3%
화 7
 
2.3%
Other values (100) 190
61.7%
Common
ValueCountFrequency (%)
) 20
35.7%
( 20
35.7%
16
28.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
O 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
83.9%
ASCII 59
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 22
 
7.1%
인 15
 
4.9%
피 13
 
4.2%
사 12
 
3.9%
쇄 12
 
3.9%
이 12
 
3.9%
아 10
 
3.2%
디 8
 
2.6%
컴 7
 
2.3%
화 7
 
2.3%
Other values (100) 190
61.7%
ASCII
ValueCountFrequency (%)
) 20
33.9%
( 20
33.9%
16
27.1%
K 1
 
1.7%
O 1
 
1.7%
P 1
 
1.7%

인쇄소주소
Text

MISSING 

Distinct44
Distinct (%)84.6%
Missing2
Missing (%)3.7%
Memory size564.0 B
2024-03-18T14:07:14.633090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length28.461538
Min length16

Characters and Unicode

Total characters1480
Distinct characters148
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

Unique39 ?
Unique (%)75.0%

Sample

1st row서울특별시 강서구 화곡로68길 127 (등촌동)
2nd row경기도 부천시 수도로 164 (도당동)
3rd row인천광역시 남구 석정로 166-1 (도화동)
4th row서울특별시 중구 마른내로6길 12-14 (인현동2가)
5th row서울특별시 중구 수표로 22-6, 1,2층 (충무로3가, 제복빌딩)
ValueCountFrequency (%)
서울특별시 29
 
10.1%
중구 21
 
7.3%
경기도 15
 
5.2%
인천광역시 7
 
2.4%
부천시 6
 
2.1%
파주시 5
 
1.7%
금천구 5
 
1.7%
수도로 4
 
1.4%
164 4
 
1.4%
도당동 4
 
1.4%
Other values (143) 188
65.3%
2024-03-18T14:07:15.001694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
16.1%
) 51
 
3.4%
시 51
 
3.4%
로 51
 
3.4%
( 51
 
3.4%
동 50
 
3.4%
1 50
 
3.4%
2 44
 
3.0%
구 41
 
2.8%
서 38
 
2.6%
Other values (138) 815
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
58.0%
Space Separator 238
 
16.1%
Decimal Number 234
 
15.8%
Close Punctuation 51
 
3.4%
Open Punctuation 51
 
3.4%
Other Punctuation 31
 
2.1%
Dash Punctuation 14
 
0.9%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 51
 
5.9%
로 51
 
5.9%
동 50
 
5.8%
구 41
 
4.8%
서 38
 
4.4%
울 30
 
3.5%
별 29
 
3.4%
특 29
 
3.4%
길 28
 
3.3%
도 26
 
3.0%
Other values (121) 485
56.5%
Decimal Number
ValueCountFrequency (%)
1 50
21.4%
2 44
18.8%
6 30
12.8%
3 25
10.7%
4 24
10.3%
8 16
 
6.8%
0 16
 
6.8%
5 13
 
5.6%
7 12
 
5.1%
9 4
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
58.0%
Common 619
41.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 51
 
5.9%
로 51
 
5.9%
동 50
 
5.8%
구 41
 
4.8%
서 38
 
4.4%
울 30
 
3.5%
별 29
 
3.4%
특 29
 
3.4%
길 28
 
3.3%
도 26
 
3.0%
Other values (121) 485
56.5%
Common
ValueCountFrequency (%)
238
38.4%
) 51
 
8.2%
( 51
 
8.2%
1 50
 
8.1%
2 44
 
7.1%
, 31
 
5.0%
6 30
 
4.8%
3 25
 
4.0%
4 24
 
3.9%
8 16
 
2.6%
Other values (5) 59
 
9.5%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
58.0%
ASCII 622
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
38.3%
) 51
 
8.2%
( 51
 
8.2%
1 50
 
8.0%
2 44
 
7.1%
, 31
 
5.0%
6 30
 
4.8%
3 25
 
4.0%
4 24
 
3.9%
8 16
 
2.6%
Other values (7) 62
 
10.0%
Hangul
ValueCountFrequency (%)
시 51
 
5.9%
로 51
 
5.9%
동 50
 
5.8%
구 41
 
4.8%
서 38
 
4.4%
울 30
 
3.5%
별 29
 
3.4%
특 29
 
3.4%
길 28
 
3.3%
도 26
 
3.0%
Other values (121) 485
56.5%

등록일자
Date

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum1989-09-07 00:00:00
Maximum2023-06-07 00:00:00
2024-03-18T14:07:15.123725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:07:15.280297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-18T14:07:12.258745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:07:15.435436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제호종별인쇄소명인쇄소주소등록일자
연번1.0000.9350.1030.8990.9191.000
제호0.9351.0000.9151.0000.9830.990
종별0.1030.9151.0000.9060.9491.000
인쇄소명0.8991.0000.9061.0001.0001.000
인쇄소주소0.9190.9830.9491.0001.0001.000
등록일자1.0000.9901.0001.0001.0001.000
2024-03-18T14:07:15.668370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.000
종별0.0001.000

Missing values

2024-03-18T14:07:12.401976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:07:12.501251image/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.
2024-03-18T14:07:12.612648image/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

연번제호종별인쇄소명인쇄소주소등록일자
01미륵법보기타간행물태환문화사 대표서울특별시 강서구 화곡로68길 127 (등촌동)1989-09-07
12인천벼룩시장정보간행물(주)아이피디경기도 부천시 수도로 164 (도당동)1992-12-17
23열우물소식기타간행물청림인쇄소인천광역시 남구 석정로 166-1 (도화동)1992-12-30
34같이가요잡지동양문화사서울특별시 중구 마른내로6길 12-14 (인현동2가)1994-02-21
45동행잡지성우칼라서울특별시 중구 수표로 22-6, 1,2층 (충무로3가, 제복빌딩)1995-10-31
56북인천케이블TV방송기타간행물화신제판인천광역시 중구 제물량로133번길 13 (답동)1996-08-26
67화랑21잡지숭의기획인천광역시 중구 관동 1가191999-10-02
78인터미션21잡지한국컴퓨터인쇄정보서울특별시 중구 다산로 227 (무학동, 한컴빌딩)2000-07-13
89오지선교잡지한국컴퓨터인쇄정보서울특별시 중구 다산로 227 (무학동, 한컴빌딩)2000-07-13
910그리스도의편지잡지한국컴퓨터인쇄정보서울특별시 중구 다산로 227 (무학동, 한컴빌딩)2000-07-13
연번제호종별인쇄소명인쇄소주소등록일자
4445오은문학사잡지경희정보인쇄(주)경기도 고양시 일산동구 장항로 384-18(장항동)2017-01-25
4546유통세계정보간행물주식회사 완산정판서울특별시 중구 서애로 6-1 (충무로5가)2017-08-14
4647MSG잡지예영사서울특별시 중구 을지로20길 24-11, 3층 (인현동1가, 덕산빌딩)2017-11-17
4748더 패어런츠잡지아이삭컴퍼니경기도 부천시 조마루로386번길 43, 502호 (원미동, 토탈프라자)2018-02-12
4849자운영(紫雲英)정보간행물큐산업디자인연구소서울특별시 중구 을지로18길 31, 일진인쇄빌딩 503호 (인현동1가)2018-06-18
4950효문화연구정보간행물네오다큐인천광역시 연수구 경원대로588번길 21 (선학동, 네오다큐)2022-10-18
5051유통세계잡지주식회사 완산정판서울특별시 중구 서애로 6-1, 지층 (충무로5가, 인산빌딩)2022-11-23
5152에스바디워크필라테스 부평점잡지(주)클러스트벤처스서울특별시 강서구 마곡중앙6로 42, 사이언스타 306호 (마곡동)2022-12-13
5253월간 에스바디워크필라테스 삼산점잡지(주)클러스트벤처스서울특별시 강서구 마곡중앙6로 42, 사이언스타 306호 (마곡동)2022-12-28
5354TOUT PAPER전자간행물<NA><NA>2023-06-07