Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory62.0 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description인천광역시 미추홀구의 용현동 통두레모임 현황에 대한 데이터로 행정동명,모임명,인원수,구성일시,활동내용 등의 정보를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15071910&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 행정동명 and 1 other fieldsHigh correlation
행정동명 is highly overall correlated with 연번High correlation
활동구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
모임명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:19:12.658222
Analysis finished2024-01-28 14:19:13.506920
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-28T23:19:13.565150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2024-01-28T23:19:13.683788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

행정동명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
용현1·4동
17 
용현5동
용현2동
용현3동

Length

Max length6
Median length6
Mean length5.030303
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용현1·4동
2nd row용현1·4동
3rd row용현1·4동
4th row용현1·4동
5th row용현1·4동

Common Values

ValueCountFrequency (%)
용현1·4동 17
51.5%
용현5동 7
21.2%
용현2동 6
 
18.2%
용현3동 3
 
9.1%

Length

2024-01-28T23:19:13.808478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:19:13.914608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용현1·4동 17
51.5%
용현5동 7
21.2%
용현2동 6
 
18.2%
용현3동 3
 
9.1%

모임명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-01-28T23:19:14.092638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length7.6363636
Min length4

Characters and Unicode

Total characters252
Distinct characters117
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row용일시장 통두레
2nd row감나무골 통두레
3rd row시나브로 통두레
4th row아리마을 통두레
5th row독정골 바라지 통두레
ValueCountFrequency (%)
통두레 11
 
17.7%
독정골 2
 
3.2%
골목 2
 
3.2%
하늘나래 1
 
1.6%
두레마을 1
 
1.6%
용현엑슬루타워 1
 
1.6%
부녀회 1
 
1.6%
오병이어 1
 
1.6%
반딧불이 1
 
1.6%
코지마음텃밭 1
 
1.6%
Other values (40) 40
64.5%
2024-01-28T23:19:14.386528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
11.5%
14
 
5.6%
14
 
5.6%
12
 
4.8%
6
 
2.4%
6
 
2.4%
6
 
2.4%
5
 
2.0%
4
 
1.6%
4
 
1.6%
Other values (107) 152
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 221
87.7%
Space Separator 29
 
11.5%
Lowercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.3%
14
 
6.3%
12
 
5.4%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (104) 146
66.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
87.7%
Common 29
 
11.5%
Latin 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.3%
14
 
6.3%
12
 
5.4%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (104) 146
66.1%
Latin
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Common
ValueCountFrequency (%)
29
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 221
87.7%
ASCII 31
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
93.5%
k 1
 
3.2%
s 1
 
3.2%
Hangul
ValueCountFrequency (%)
14
 
6.3%
14
 
6.3%
12
 
5.4%
6
 
2.7%
6
 
2.7%
6
 
2.7%
5
 
2.3%
4
 
1.8%
4
 
1.8%
4
 
1.8%
Other values (104) 146
66.1%

인원수
Real number (ℝ)

Distinct18
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.363636
Minimum3
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-01-28T23:19:14.486604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q314
95-th percentile23.2
Maximum34
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.6229628
Coefficient of variation (CV)0.58282073
Kurtosis3.8262665
Mean11.363636
Median Absolute Deviation (MAD)3
Skewness1.7379458
Sum375
Variance43.863636
MonotonicityNot monotonic
2024-01-28T23:19:14.580056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
8 4
12.1%
7 4
12.1%
10 3
 
9.1%
6 3
 
9.1%
12 2
 
6.1%
9 2
 
6.1%
15 2
 
6.1%
13 2
 
6.1%
4 2
 
6.1%
18 1
 
3.0%
Other values (8) 8
24.2%
ValueCountFrequency (%)
3 1
 
3.0%
4 2
6.1%
6 3
9.1%
7 4
12.1%
8 4
12.1%
9 2
6.1%
10 3
9.1%
11 1
 
3.0%
12 2
6.1%
13 2
6.1%
ValueCountFrequency (%)
34 1
3.0%
28 1
3.0%
20 1
3.0%
18 1
3.0%
17 1
3.0%
16 1
3.0%
15 2
6.1%
14 1
3.0%
13 2
6.1%
12 2
6.1%
Distinct24
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2013-11-01 00:00:00
Maximum2022-01-01 00:00:00
2024-01-28T23:19:14.958000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:19:15.053913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-01-28T23:19:15.330167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length39
Mean length28.69697
Min length15

Characters and Unicode

Total characters947
Distinct characters233
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

Unique30 ?
Unique (%)90.9%

Sample

1st row용일시장 공유공간 환경개선 및 원도심디자인활성화 사업 추진
2nd row10-14통 일대 감나무 관리(거름주기, 열매수확 등) 상자텃밭 운영(작물 재배 무단투기 감시)
3rd row벽화조성을 통한 마을환경 개선
4th row꽃길 조성 등 아름다운 마을 만들기 활동 추진 LED태양열등을 활용한 빛의거리 조성
5th row독거노인 대상 무료 반찬 나눔 봉사
ValueCountFrequency (%)
18
 
7.0%
8
 
3.1%
활동 8
 
3.1%
나눔 8
 
3.1%
마을 7
 
2.7%
조성 6
 
2.3%
운영 6
 
2.3%
통한 5
 
1.9%
환경개선 5
 
1.9%
진행 4
 
1.6%
Other values (152) 183
70.9%
2024-01-28T23:19:15.715774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
23.9%
21
 
2.2%
18
 
1.9%
17
 
1.8%
14
 
1.5%
12
 
1.3%
12
 
1.3%
12
 
1.3%
11
 
1.2%
11
 
1.2%
Other values (223) 593
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 685
72.3%
Space Separator 226
 
23.9%
Uppercase Letter 15
 
1.6%
Other Punctuation 10
 
1.1%
Decimal Number 6
 
0.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
3.1%
18
 
2.6%
17
 
2.5%
14
 
2.0%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.6%
11
 
1.6%
11
 
1.6%
Other values (205) 546
79.7%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
K 2
13.3%
S 2
13.3%
L 2
13.3%
D 2
13.3%
V 1
 
6.7%
Y 1
 
6.7%
I 1
 
6.7%
W 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 1
 
16.7%
4 1
 
16.7%
0 1
 
16.7%
Space Separator
ValueCountFrequency (%)
226
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 685
72.3%
Common 247
 
26.1%
Latin 15
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
3.1%
18
 
2.6%
17
 
2.5%
14
 
2.0%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.6%
11
 
1.6%
11
 
1.6%
Other values (205) 546
79.7%
Common
ValueCountFrequency (%)
226
91.5%
, 10
 
4.0%
1 3
 
1.2%
) 2
 
0.8%
( 2
 
0.8%
2 1
 
0.4%
4 1
 
0.4%
- 1
 
0.4%
0 1
 
0.4%
Latin
ValueCountFrequency (%)
E 3
20.0%
K 2
13.3%
S 2
13.3%
L 2
13.3%
D 2
13.3%
V 1
 
6.7%
Y 1
 
6.7%
I 1
 
6.7%
W 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 685
72.3%
ASCII 262
 
27.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
86.3%
, 10
 
3.8%
1 3
 
1.1%
E 3
 
1.1%
K 2
 
0.8%
) 2
 
0.8%
( 2
 
0.8%
S 2
 
0.8%
L 2
 
0.8%
D 2
 
0.8%
Other values (8) 8
 
3.1%
Hangul
ValueCountFrequency (%)
21
 
3.1%
18
 
2.6%
17
 
2.5%
14
 
2.0%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.6%
11
 
1.6%
11
 
1.6%
Other values (205) 546
79.7%

활동구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
생활환경개선
15 
돌봄교육문화
자원봉사복지
돌봄, 교육, 문화

Length

Max length10
Median length6
Mean length6.3636364
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활환경개선
2nd row생활환경개선
3rd row생활환경개선
4th row생활환경개선
5th row자원봉사복지

Common Values

ValueCountFrequency (%)
생활환경개선 15
45.5%
돌봄교육문화 8
24.2%
자원봉사복지 7
21.2%
돌봄, 교육, 문화 3
 
9.1%

Length

2024-01-28T23:19:15.835492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T23:19:15.937642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활환경개선 15
38.5%
돌봄교육문화 8
20.5%
자원봉사복지 7
17.9%
돌봄 3
 
7.7%
교육 3
 
7.7%
문화 3
 
7.7%

Interactions

2024-01-28T23:19:13.182920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:19:13.039061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:19:13.258920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:19:13.112590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:19:16.001751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동명모임명인원수구성일시활동내용활동구분
연번1.0000.9941.0000.4230.8840.9310.854
행정동명0.9941.0001.0000.4240.5401.0000.832
모임명1.0001.0001.0001.0001.0001.0001.000
인원수0.4230.4241.0001.0000.8940.9740.780
구성일시0.8840.5401.0000.8941.0000.9810.989
활동내용0.9311.0001.0000.9740.9811.0001.000
활동구분0.8540.8321.0000.7800.9891.0001.000
2024-01-28T23:19:16.092295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활동구분행정동명
활동구분1.0000.478
행정동명0.4781.000
2024-01-28T23:19:16.174584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인원수행정동명활동구분
연번1.000-0.0320.8910.639
인원수-0.0321.0000.1660.407
행정동명0.8910.1661.0000.478
활동구분0.6390.4070.4781.000

Missing values

2024-01-28T23:19:13.368500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:19:13.465322image/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
01용현1·4동용일시장 통두레172014-07-01용일시장 공유공간 환경개선 및 원도심디자인활성화 사업 추진생활환경개선
12용현1·4동감나무골 통두레62015-08-0110-14통 일대 감나무 관리(거름주기, 열매수확 등) 상자텃밭 운영(작물 재배 무단투기 감시)생활환경개선
23용현1·4동시나브로 통두레82018-01-01벽화조성을 통한 마을환경 개선생활환경개선
34용현1·4동아리마을 통두레122015-08-01꽃길 조성 등 아름다운 마을 만들기 활동 추진 LED태양열등을 활용한 빛의거리 조성생활환경개선
45용현1·4동독정골 바라지 통두레202016-01-01독거노인 대상 무료 반찬 나눔 봉사자원봉사복지
56용현1·4동우마 통두레92016-02-01마을 환경미화활동 및 환경개선 활동생활환경개선
67용현1·4동빗물정원통두레152017-01-01빗물저금통을 활용한 텃밭상자 운영생활환경개선
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