Overview

Dataset statistics

Number of variables7
Number of observations277
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory56.5 B

Variable types

Categorical6
Text1

Dataset

Description포천시 권역별 청소차 운행현황 정보
Author경기도 포천시
URLhttps://www.data.go.kr/data/3065692/fileData.do

Alerts

대형폐기물수거일 has constant value ""Constant
읍면동 is highly overall correlated with 재활용쓰레기수거일 and 2 other fieldsHigh correlation
수거업체 is highly overall correlated with 읍면동 and 3 other fieldsHigh correlation
재활용쓰레기수거일 is highly overall correlated with 읍면동 and 1 other fieldsHigh correlation
일반쓰레기수거일 is highly overall correlated with 읍면동 and 1 other fieldsHigh correlation
음식물쓰레기수거일 is highly overall correlated with 수거업체High correlation

Reproduction

Analysis started2023-12-12 09:04:47.276684
Analysis finished2023-12-12 09:04:48.027282
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
포천동
54 
신북면
40 
소흘읍
31 
선단동
29 
일동면
24 
Other values (8)
99 

Length

Max length4
Median length3
Mean length3.0722022
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포천동 54
19.5%
신북면 40
14.4%
소흘읍 31
11.2%
선단동 29
10.5%
일동면 24
8.7%
영중면 20
 
7.2%
이동면 20
 
7.2%
창수면 15
 
5.4%
화현면 13
 
4.7%
가산면 10
 
3.6%
Other values (3) 21
 
7.6%

Length

2023-12-12T18:04:48.147778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포천동 54
19.5%
신북면 40
14.4%
소흘읍 31
11.2%
선단동 29
10.5%
일동면 24
8.7%
영중면 20
 
7.2%
이동면 20
 
7.2%
창수면 15
 
5.4%
화현면 13
 
4.7%
가산면 10
 
3.6%
Other values (3) 21
 
7.6%

수거지역
Text

Distinct272
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T18:04:48.469187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length4.8953069
Min length2

Characters and Unicode

Total characters1356
Distinct characters171
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)96.8%

Sample

1st row송우리1리
2nd row송우리1리
3rd row송우리2리
4th row송우리2리
5th row송우리3리
ValueCountFrequency (%)
신읍 15
 
4.3%
2리 12
 
3.4%
1리 12
 
3.4%
선단 7
 
2.0%
1통 6
 
1.7%
2통 6
 
1.7%
기지 5
 
1.4%
3통 5
 
1.4%
3리 4
 
1.1%
동교 4
 
1.1%
Other values (244) 275
78.3%
2023-12-12T18:04:49.016952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 219
 
16.2%
75
 
5.5%
1 63
 
4.6%
2 57
 
4.2%
3 37
 
2.7%
통 36
 
2.7%
동 31
 
2.3%
신 24
 
1.8%
아 24
 
1.8%
트 23
 
1.7%
Other values (161) 767
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
77.0%
Decimal Number 211
 
15.6%
Space Separator 75
 
5.5%
Math Symbol 8
 
0.6%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Other Punctuation 5
 
0.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 219
 
21.0%
통 36
 
3.4%
동 31
 
3.0%
신 24
 
2.3%
아 24
 
2.3%
트 23
 
2.2%
파 23
 
2.2%
우 20
 
1.9%
읍 17
 
1.6%
라 17
 
1.6%
Other values (145) 610
58.4%
Decimal Number
ValueCountFrequency (%)
1 63
29.9%
2 57
27.0%
3 37
17.5%
4 21
 
10.0%
5 16
 
7.6%
6 6
 
2.8%
7 5
 
2.4%
8 3
 
1.4%
9 2
 
0.9%
0 1
 
0.5%
Space Separator
ValueCountFrequency (%)
75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1044
77.0%
Common 312
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 219
 
21.0%
통 36
 
3.4%
동 31
 
3.0%
신 24
 
2.3%
아 24
 
2.3%
트 23
 
2.2%
파 23
 
2.2%
우 20
 
1.9%
읍 17
 
1.6%
라 17
 
1.6%
Other values (145) 610
58.4%
Common
ValueCountFrequency (%)
75
24.0%
1 63
20.2%
2 57
18.3%
3 37
11.9%
4 21
 
6.7%
5 16
 
5.1%
~ 8
 
2.6%
6 6
 
1.9%
) 6
 
1.9%
( 6
 
1.9%
Other values (6) 17
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1044
77.0%
ASCII 312
 
23.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 219
 
21.0%
통 36
 
3.4%
동 31
 
3.0%
신 24
 
2.3%
아 24
 
2.3%
트 23
 
2.2%
파 23
 
2.2%
우 20
 
1.9%
읍 17
 
1.6%
라 17
 
1.6%
Other values (145) 610
58.4%
ASCII
ValueCountFrequency (%)
75
24.0%
1 63
20.2%
2 57
18.3%
3 37
11.9%
4 21
 
6.7%
5 16
 
5.1%
~ 8
 
2.6%
6 6
 
1.9%
) 6
 
1.9%
( 6
 
1.9%
Other values (6) 17
 
5.4%

재활용쓰레기수거일
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
금
40 
화
35 
수
33 
월,수,금
32 
월
27 
Other values (9)
110 

Length

Max length5
Median length1
Mean length1.9927798
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row월,수
2nd row수
3rd row월,수
4th row수
5th row월

Common Values

ValueCountFrequency (%)
금 40
14.4%
화 35
12.6%
수 33
11.9%
월,수,금 32
11.6%
월 27
9.7%
매일 27
9.7%
월,목 26
9.4%
목 20
7.2%
화,금 19
6.9%
별도 6
 
2.2%
Other values (4) 12
 
4.3%

Length

2023-12-12T18:04:49.218382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금 40
14.4%
화 35
12.6%
수 33
11.9%
월,수,금 32
11.6%
월 27
9.7%
매일 27
9.7%
월,목 26
9.4%
목 20
7.2%
화,금 19
6.9%
별도 6
 
2.2%
Other values (4) 12
 
4.3%

일반쓰레기수거일
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
매일
77 
월,수,금
34 
화,목
31 
월,금
30 
화,금
23 
Other values (14)
82 

Length

Max length16
Median length9
Mean length3.6209386
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row매일
2nd row월,목
3rd row매일
4th row월,목
5th row화,금

Common Values

ValueCountFrequency (%)
매일 77
27.8%
월,수,금 34
12.3%
화,목 31
11.2%
월,금 30
 
10.8%
화,금 23
 
8.3%
월,목 18
 
6.5%
월,화,수,목,금 18
 
6.5%
화 7
 
2.5%
화,목,금 7
 
2.5%
월,화 ,목,금 6
 
2.2%
Other values (9) 26
 
9.4%

Length

2023-12-12T18:04:49.410643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매일 77
26.9%
월,수,금 34
11.9%
화,목 31
10.8%
월,금 30
 
10.5%
화,금 23
 
8.0%
월,목 18
 
6.3%
월,화,수,목,금 18
 
6.3%
월,화 9
 
3.1%
화 7
 
2.4%
화,목,금 7
 
2.4%
Other values (10) 32
11.2%

음식물쓰레기수거일
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
월,수,금
122 
화,목
75 
매일
36 
월,금
16 
화,금
 
6
Other values (10)
22 

Length

Max length9
Median length5
Mean length3.66787
Min length1

Unique

Unique5 ?
Unique (%)1.8%

Sample

1st row매일
2nd row매일
3rd row월,수,금
4th row월,수,금
5th row월,수,금

Common Values

ValueCountFrequency (%)
월,수,금 122
44.0%
화,목 75
27.1%
매일 36
 
13.0%
월,금 16
 
5.8%
화,금 6
 
2.2%
화 6
 
2.2%
금 4
 
1.4%
수 3
 
1.1%
수,금 2
 
0.7%
목,금 2
 
0.7%
Other values (5) 5
 
1.8%

Length

2023-12-12T18:04:49.617774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월,수,금 122
44.0%
화,목 75
27.1%
매일 36
 
13.0%
월,금 16
 
5.8%
화,금 6
 
2.2%
화 6
 
2.2%
금 4
 
1.4%
수 3
 
1.1%
수,금 2
 
0.7%
목,금 2
 
0.7%
Other values (5) 5
 
1.8%

대형폐기물수거일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
배출신고시
277 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배출신고시 277
100.0%

Length

2023-12-12T18:04:49.786358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:04:49.909558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출신고시 277
100.0%

수거업체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
포천환경
123 
태성크린
62 
갈산환경
57 
영북환경
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포천환경 123
44.4%
태성크린 62
22.4%
갈산환경 57
20.6%
영북환경 35
 
12.6%

Length

2023-12-12T18:04:50.030817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:04:50.149705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포천환경 123
44.4%
태성크린 62
22.4%
갈산환경 57
20.6%
영북환경 35
 
12.6%

Correlations

2023-12-12T18:04:50.255142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동재활용쓰레기수거일일반쓰레기수거일음식물쓰레기수거일수거업체
읍면동1.0000.8650.8840.7651.000
재활용쓰레기수거일0.8651.0000.8120.4810.811
일반쓰레기수거일0.8840.8121.0000.8410.919
음식물쓰레기수거일0.7650.4810.8411.0000.829
수거업체1.0000.8110.9190.8291.000
2023-12-12T18:04:50.388174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동재활용쓰레기수거일수거업체음식물쓰레기수거일일반쓰레기수거일
읍면동1.0000.5410.9830.4020.549
재활용쓰레기수거일0.5411.0000.6020.1870.424
수거업체0.9830.6021.0000.6300.758
음식물쓰레기수거일0.4020.1870.6301.0000.456
일반쓰레기수거일0.5490.4240.7580.4561.000
2023-12-12T18:04:50.553788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동재활용쓰레기수거일일반쓰레기수거일음식물쓰레기수거일수거업체
읍면동1.0000.5410.5490.4020.983
재활용쓰레기수거일0.5411.0000.4240.1870.602
일반쓰레기수거일0.5490.4241.0000.4560.758
음식물쓰레기수거일0.4020.1870.4561.0000.630
수거업체0.9830.6020.7580.6301.000

Missing values

2023-12-12T18:04:47.729759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:04:47.947485image/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

읍면동수거지역재활용쓰레기수거일일반쓰레기수거일음식물쓰레기수거일대형폐기물수거일수거업체
0소흘읍송우리1리월,수매일매일배출신고시태성크린
1소흘읍송우리1리수월,목매일배출신고시태성크린
2소흘읍송우리2리월,수매일월,수,금배출신고시태성크린
3소흘읍송우리2리수월,목월,수,금배출신고시태성크린
4소흘읍송우리3리월화,금월,수,금배출신고시태성크린
5소흘읍송우리4리월화,목수,금배출신고시태성크린
6소흘읍송우리5리수화,목월,수,금배출신고시태성크린
7소흘읍송우리5리수화,금월,수,금배출신고시태성크린
8소흘읍송우리5리수월,수,금월,수,금배출신고시태성크린
9소흘읍송우리6리수매일매일배출신고시태성크린
읍면동수거지역재활용쓰레기수거일일반쓰레기수거일음식물쓰레기수거일대형폐기물수거일수거업체
267선단동대진빌라월,수,금화,수,목,금월,수,금배출신고시포천환경
268선단동분도마을화,금화,금월,수,금배출신고시포천환경
269선단동삼보한우리수화,목매일배출신고시포천환경
270선단동선단1통~7통 빌라수화,목월,수,금배출신고시포천환경
271선단동선단3리회관월,수,금화,수,목,금월,수,금배출신고시포천환경
272선단동세진빌라수화,목매일배출신고시포천환경
273선단동세창아파트수월,수,금매일배출신고시포천환경
274선단동에넥스빌라월,수,금화,수,목,금월,수,금배출신고시포천환경
275선단동왕방공단월,수,금화,금월,수,금배출신고시포천환경
276선단동우성빌라월,수,금화,수,목,금월,수,금배출신고시포천환경