Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory964.0 B
Average record size in memory37.1 B

Variable types

Text1
Categorical3

Dataset

Description인천광역시 서구의 재활용쓰레기 동별 배출요일에 관한 데이터입니다. 지역, 배출요일, 수거요일 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15105608/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
수거요일 is highly overall correlated with 배출요일High correlation
배출요일 is highly overall correlated with 수거요일High correlation
지역 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:52:07.647363
Analysis finished2023-12-13 00:52:07.887896
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T09:52:08.013900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length31
Mean length7.4615385
Min length3

Characters and Unicode

Total characters194
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row연희동
2nd row경서동
3rd row가정1동
4th row석남1동(168~192, 194~206, 213~224, 444~455, 477~479, 511~526)
5th row가좌2동
ValueCountFrequency (%)
연희동 1
 
3.0%
검암동 1
 
3.0%
마전동 1
 
3.0%
오류왕길동 1
 
3.0%
검단동(금곡동 1
 
3.0%
가좌1동 1
 
3.0%
석남3동 1
 
3.0%
석남2동 1
 
3.0%
495~510 1
 
3.0%
480~484 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T09:52:08.261632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 27
 
13.9%
4 15
 
7.7%
1 11
 
5.7%
2 9
 
4.6%
~ 9
 
4.6%
, 7
 
3.6%
가 7
 
3.6%
7
 
3.6%
5 7
 
3.6%
6 5
 
2.6%
Other values (44) 90
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
49.5%
Decimal Number 65
33.5%
Math Symbol 9
 
4.6%
Other Punctuation 7
 
3.6%
Space Separator 7
 
3.6%
Open Punctuation 5
 
2.6%
Close Punctuation 5
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
28.1%
가 7
 
7.3%
석 5
 
5.2%
좌 4
 
4.2%
검 4
 
4.2%
남 4
 
4.2%
정 3
 
3.1%
단 3
 
3.1%
곡 2
 
2.1%
당 2
 
2.1%
Other values (29) 35
36.5%
Decimal Number
ValueCountFrequency (%)
4 15
23.1%
1 11
16.9%
2 9
13.8%
5 7
10.8%
6 5
 
7.7%
7 4
 
6.2%
3 4
 
6.2%
9 4
 
6.2%
0 3
 
4.6%
8 3
 
4.6%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
50.5%
Hangul 96
49.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
28.1%
가 7
 
7.3%
석 5
 
5.2%
좌 4
 
4.2%
검 4
 
4.2%
남 4
 
4.2%
정 3
 
3.1%
단 3
 
3.1%
곡 2
 
2.1%
당 2
 
2.1%
Other values (29) 35
36.5%
Common
ValueCountFrequency (%)
4 15
15.3%
1 11
11.2%
2 9
9.2%
~ 9
9.2%
, 7
 
7.1%
7
 
7.1%
5 7
 
7.1%
6 5
 
5.1%
( 5
 
5.1%
) 5
 
5.1%
Other values (5) 18
18.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
50.5%
Hangul 96
49.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 27
28.1%
가 7
 
7.3%
석 5
 
5.2%
좌 4
 
4.2%
검 4
 
4.2%
남 4
 
4.2%
정 3
 
3.1%
단 3
 
3.1%
곡 2
 
2.1%
당 2
 
2.1%
Other values (29) 35
36.5%
ASCII
ValueCountFrequency (%)
4 15
15.3%
1 11
11.2%
2 9
9.2%
~ 9
9.2%
, 7
 
7.1%
7
 
7.1%
5 7
 
7.1%
6 5
 
5.1%
( 5
 
5.1%
) 5
 
5.1%
Other values (5) 18
18.4%

배출요일
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
월요일+수요일+금요일
14 
일요일+화요일+목요일
12 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일요일+화요일+목요일
2nd row일요일+화요일+목요일
3rd row일요일+화요일+목요일
4th row일요일+화요일+목요일
5th row일요일+화요일+목요일

Common Values

ValueCountFrequency (%)
월요일+수요일+금요일 14
53.8%
일요일+화요일+목요일 12
46.2%

Length

2023-12-13T09:52:08.362360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:52:08.434840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월요일+수요일+금요일 14
53.8%
일요일+화요일+목요일 12
46.2%

수거요일
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
화요일+목요일+토요일
14 
월요일+수요일+금요일
12 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월요일+수요일+금요일
2nd row월요일+수요일+금요일
3rd row월요일+수요일+금요일
4th row월요일+수요일+금요일
5th row월요일+수요일+금요일

Common Values

ValueCountFrequency (%)
화요일+목요일+토요일 14
53.8%
월요일+수요일+금요일 12
46.2%

Length

2023-12-13T09:52:08.524204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:52:08.596592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화요일+목요일+토요일 14
53.8%
월요일+수요일+금요일 12
46.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-07-01
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-01
2nd row2023-07-01
3rd row2023-07-01
4th row2023-07-01
5th row2023-07-01

Common Values

ValueCountFrequency (%)
2023-07-01 26
100.0%

Length

2023-12-13T09:52:08.675011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:52:08.741818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-01 26
100.0%

Correlations

2023-12-13T09:52:08.781989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역배출요일수거요일
지역1.0001.0001.000
배출요일1.0001.0000.992
수거요일1.0000.9921.000
2023-12-13T09:52:09.066126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수거요일배출요일
수거요일1.0000.919
배출요일0.9191.000
2023-12-13T09:52:09.126049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출요일수거요일
배출요일1.0000.919
수거요일0.9191.000

Missing values

2023-12-13T09:52:07.800201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:52:07.862930image/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

지역배출요일수거요일데이터기준일자
0연희동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
1경서동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
2가정1동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
3석남1동(168~192, 194~206, 213~224, 444~455, 477~479, 511~526)일요일+화요일+목요일월요일+수요일+금요일2023-07-01
4가좌2동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
5가좌3동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
6가좌4동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
7검단동(마전지구)일요일+화요일+목요일월요일+수요일+금요일2023-07-01
8불로대곡동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
9원당동일요일+화요일+목요일월요일+수요일+금요일2023-07-01
지역배출요일수거요일데이터기준일자
16가정3동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
17신현원창동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
18석남1동(456~467, 480~484, 495~510)월요일+수요일+금요일화요일+목요일+토요일2023-07-01
19석남2동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
20석남3동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
21가좌1동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
22검단동(금곡동)월요일+수요일+금요일화요일+목요일+토요일2023-07-01
23오류왕길동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
24마전동월요일+수요일+금요일화요일+목요일+토요일2023-07-01
25아라동(검단신도시)월요일+수요일+금요일화요일+목요일+토요일2023-07-01