Overview

Dataset statistics

Number of variables7
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory61.3 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description미추홀구 주안동 마을공동체모임 현황에 대한 데이터로 행정동명, 모임명, 인원수, 구성일시, 활동내용, 활동구분 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15071913&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 행정동명High correlation
행정동명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
모임명 has unique valuesUnique
활동내용 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:04:05.933194
Analysis finished2024-01-28 14:04:06.660930
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T23:04:06.716085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2024-01-28T23:04:06.818777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

행정동명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
주안5동
13 
주안8동
7 
주안4동
5 
주안2동
4 
주안3동
4 
Other values (3)
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row주안1동
2nd row주안1동
3rd row주안2동
4th row주안2동
5th row주안2동

Common Values

ValueCountFrequency (%)
주안5동 13
32.5%
주안8동 7
17.5%
주안4동 5
 
12.5%
주안2동 4
 
10.0%
주안3동 4
 
10.0%
주안6동 4
 
10.0%
주안1동 2
 
5.0%
주안7동 1
 
2.5%

Length

2024-01-28T23:04:06.929004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:04:07.014444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주안5동 13
32.5%
주안8동 7
17.5%
주안4동 5
 
12.5%
주안2동 4
 
10.0%
주안3동 4
 
10.0%
주안6동 4
 
10.0%
주안1동 2
 
5.0%
주안7동 1
 
2.5%

모임명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T23:04:07.195318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.925
Min length3

Characters and Unicode

Total characters277
Distinct characters115
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

Unique40 ?
Unique (%)100.0%

Sample

1st row주안청결 지킴이
2nd row랑랑랑 특공대
3rd row못머리 마을공동체
4th row양지께마을 통두레
5th row잿말 통두레
ValueCountFrequency (%)
통두레 5
 
7.6%
사람들 2
 
3.0%
마을 2
 
3.0%
반딧불 2
 
3.0%
염전골 2
 
3.0%
마을공동체 2
 
3.0%
우리동네 1
 
1.5%
풍성한 1
 
1.5%
마을협의회 1
 
1.5%
주염골 1
 
1.5%
Other values (47) 47
71.2%
2024-01-28T23:04:07.473971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
9.4%
레 12
 
4.3%
두 12
 
4.3%
통 11
 
4.0%
마 10
 
3.6%
을 9
 
3.2%
동 8
 
2.9%
골 7
 
2.5%
이 7
 
2.5%
사 6
 
2.2%
Other values (105) 169
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
89.5%
Space Separator 26
 
9.4%
Decimal Number 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
레 12
 
4.8%
두 12
 
4.8%
통 11
 
4.4%
마 10
 
4.0%
을 9
 
3.6%
동 8
 
3.2%
골 7
 
2.8%
이 7
 
2.8%
사 6
 
2.4%
랑 6
 
2.4%
Other values (101) 160
64.5%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
7 1
33.3%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
89.5%
Common 29
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
레 12
 
4.8%
두 12
 
4.8%
통 11
 
4.4%
마 10
 
4.0%
을 9
 
3.6%
동 8
 
3.2%
골 7
 
2.8%
이 7
 
2.8%
사 6
 
2.4%
랑 6
 
2.4%
Other values (101) 160
64.5%
Common
ValueCountFrequency (%)
26
89.7%
6 1
 
3.4%
7 1
 
3.4%
9 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
89.5%
ASCII 29
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
89.7%
6 1
 
3.4%
7 1
 
3.4%
9 1
 
3.4%
Hangul
ValueCountFrequency (%)
레 12
 
4.8%
두 12
 
4.8%
통 11
 
4.4%
마 10
 
4.0%
을 9
 
3.6%
동 8
 
3.2%
골 7
 
2.8%
이 7
 
2.8%
사 6
 
2.4%
랑 6
 
2.4%
Other values (101) 160
64.5%

인원수
Real number (ℝ)

Distinct16
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.075
Minimum4
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-01-28T23:04:07.567338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q16.75
median10
Q312
95-th percentile30.15
Maximum35
Range31
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation8.321697
Coefficient of variation (CV)0.68916745
Kurtosis1.8462301
Mean12.075
Median Absolute Deviation (MAD)3
Skewness1.6959784
Sum483
Variance69.250641
MonotonicityNot monotonic
2024-01-28T23:04:07.651007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
11 6
15.0%
6 5
12.5%
10 4
10.0%
8 4
10.0%
5 4
10.0%
9 3
7.5%
30 3
7.5%
12 2
 
5.0%
7 2
 
5.0%
33 1
 
2.5%
Other values (6) 6
15.0%
ValueCountFrequency (%)
4 1
 
2.5%
5 4
10.0%
6 5
12.5%
7 2
 
5.0%
8 4
10.0%
9 3
7.5%
10 4
10.0%
11 6
15.0%
12 2
 
5.0%
13 1
 
2.5%
ValueCountFrequency (%)
35 1
 
2.5%
33 1
 
2.5%
30 3
7.5%
23 1
 
2.5%
17 1
 
2.5%
15 1
 
2.5%
13 1
 
2.5%
12 2
 
5.0%
11 6
15.0%
10 4
10.0%

구성일시
Date

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2013-02-01 00:00:00
Maximum2023-03-01 00:00:00
2024-01-28T23:04:07.748759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:04:07.860145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

활동내용
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-28T23:04:08.092846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length33
Mean length27.275
Min length10

Characters and Unicode

Total characters1091
Distinct characters252
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row불법광고물 수거·폐기 및 무단투기 취약지 정비
2nd row환경교육돌봄 프로그램 운영
3rd row주안2동 일대 교통안전 개선
4th row양지께-수봉마을 마을계획 수립 및 아름다운 마을 가꾸기
5th row잿말 골목길 벽화그리기 및 대청소 등 환경개선
ValueCountFrequency (%)
및 20
 
7.2%
나눔 8
 
2.9%
조성 7
 
2.5%
통한 7
 
2.5%
운영 7
 
2.5%
환경정비 5
 
1.8%
등 5
 
1.8%
만들기 4
 
1.4%
텃밭 4
 
1.4%
활동 4
 
1.4%
Other values (177) 207
74.5%
2024-01-28T23:04:08.445235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243
 
22.3%
및 20
 
1.8%
기 19
 
1.7%
을 19
 
1.7%
동 17
 
1.6%
마 16
 
1.5%
나 13
 
1.2%
한 13
 
1.2%
눔 12
 
1.1%
경 12
 
1.1%
Other values (242) 707
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
75.3%
Space Separator 243
 
22.3%
Other Punctuation 14
 
1.3%
Decimal Number 7
 
0.6%
Dash Punctuation 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
및 20
 
2.4%
기 19
 
2.3%
을 19
 
2.3%
동 17
 
2.1%
마 16
 
1.9%
나 13
 
1.6%
한 13
 
1.6%
눔 12
 
1.5%
경 12
 
1.5%
성 12
 
1.5%
Other values (231) 669
81.4%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 1
 
14.3%
8 1
 
14.3%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 11
78.6%
" 2
 
14.3%
· 1
 
7.1%
Space Separator
ValueCountFrequency (%)
243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
75.3%
Common 269
 
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
및 20
 
2.4%
기 19
 
2.3%
을 19
 
2.3%
동 17
 
2.1%
마 16
 
1.9%
나 13
 
1.6%
한 13
 
1.6%
눔 12
 
1.5%
경 12
 
1.5%
성 12
 
1.5%
Other values (231) 669
81.4%
Common
ValueCountFrequency (%)
243
90.3%
, 11
 
4.1%
2 4
 
1.5%
- 3
 
1.1%
" 2
 
0.7%
1 1
 
0.4%
) 1
 
0.4%
( 1
 
0.4%
8 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
75.3%
ASCII 268
 
24.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
243
90.7%
, 11
 
4.1%
2 4
 
1.5%
- 3
 
1.1%
" 2
 
0.7%
1 1
 
0.4%
) 1
 
0.4%
( 1
 
0.4%
8 1
 
0.4%
4 1
 
0.4%
Hangul
ValueCountFrequency (%)
및 20
 
2.4%
기 19
 
2.3%
을 19
 
2.3%
동 17
 
2.1%
마 16
 
1.9%
나 13
 
1.6%
한 13
 
1.6%
눔 12
 
1.5%
경 12
 
1.5%
성 12
 
1.5%
Other values (231) 669
81.4%
None
ValueCountFrequency (%)
· 1
100.0%

활동구분
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
생활환경개선
18 
돌봄 교육 문화
13 
자원봉사 복지
7 
안전개선
 
1
자원봉사, 복지
 
1

Length

Max length8
Median length7
Mean length6.825
Min length4

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row생활환경개선
2nd row돌봄 교육 문화
3rd row생활환경개선
4th row생활환경개선
5th row생활환경개선

Common Values

ValueCountFrequency (%)
생활환경개선 18
45.0%
돌봄 교육 문화 13
32.5%
자원봉사 복지 7
 
17.5%
안전개선 1
 
2.5%
자원봉사, 복지 1
 
2.5%

Length

2024-01-28T23:04:08.561794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:04:08.657524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활환경개선 18
24.3%
돌봄 13
17.6%
교육 13
17.6%
문화 13
17.6%
자원봉사 8
10.8%
복지 8
10.8%
안전개선 1
 
1.4%

Interactions

2024-01-28T23:04:06.388161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:04:06.249640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:04:06.457554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:04:06.320847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:04:08.724139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동명모임명인원수구성일시활동내용활동구분
연번1.0000.8881.0000.2320.7061.0000.511
행정동명0.8881.0001.0000.7190.9121.0000.000
모임명1.0001.0001.0001.0001.0001.0001.000
인원수0.2320.7191.0001.0000.9241.0000.000
구성일시0.7060.9121.0000.9241.0001.0000.000
활동내용1.0001.0001.0001.0001.0001.0001.000
활동구분0.5110.0001.0000.0000.0001.0001.000
2024-01-28T23:04:08.807540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활동구분행정동명
활동구분1.0000.000
행정동명0.0001.000
2024-01-28T23:04:08.871103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인원수행정동명활동구분
연번1.000-0.0180.6750.205
인원수-0.0181.0000.3060.000
행정동명0.6750.3061.0000.000
활동구분0.2050.0000.0001.000

Missing values

2024-01-28T23:04:06.542656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:04:06.626876image/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

연번행정동명모임명인원수구성일시활동내용활동구분
01주안1동주안청결 지킴이232013-02-01불법광고물 수거·폐기 및 무단투기 취약지 정비생활환경개선
12주안1동랑랑랑 특공대52021-02-01환경교육돌봄 프로그램 운영돌봄 교육 문화
23주안2동못머리 마을공동체302021-01-01주안2동 일대 교통안전 개선생활환경개선
34주안2동양지께마을 통두레172015-03-01양지께-수봉마을 마을계획 수립 및 아름다운 마을 가꾸기생활환경개선
45주안2동잿말 통두레102016-12-01잿말 골목길 벽화그리기 및 대청소 등 환경개선생활환경개선
56주안2동안전한 마을 만들기302020-10-10안전한 야간 귀갓길 조성생활환경개선
67주안3동일오통두레82014-03-01신라아파트 담장 화단 조성 및 환경정비 활동생활환경개선
78주안3동사미골 사람들152018-11-01업사이클링을 통한 쾌적한 마을 만들기 주민 활동 모임생활환경개선
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