Overview

Dataset statistics

Number of variables6
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory54.0 B

Variable types

Categorical5
Numeric1

Dataset

Description제주특별자치도의 시군 구별 분뇨처리형태와 처리량에 대한 현황 자료입니다. 분뇨처리형태(공공처리/액비화/재활용신고자/퇴비화 등)
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097034/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
처리량(톤) has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:14:49.319062
Analysis finished2023-12-12 20:14:49.817767
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
제주특별자치도
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도 33
100.0%

Length

2023-12-13T05:14:49.958480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:50.058495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도 33
100.0%

시군구명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
제주시
17 
서귀포시
16 

Length

Max length4
Median length3
Mean length3.4848485
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 17
51.5%
서귀포시 16
48.5%

Length

2023-12-13T05:14:50.192011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:50.311860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 17
51.5%
서귀포시 16
48.5%

분뇨처리형태
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
공공처리
8 
재활용신고자
8 
퇴비화
8 
액비화
6 
가축분뇨처리업자
2 

Length

Max length8
Median length6
Mean length4.3030303
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row공공처리
2nd row액비화
3rd row재활용신고자
4th row퇴비화
5th row공공처리

Common Values

ValueCountFrequency (%)
공공처리 8
24.2%
재활용신고자 8
24.2%
퇴비화 8
24.2%
액비화 6
18.2%
가축분뇨처리업자 2
 
6.1%
정화방류 1
 
3.0%

Length

2023-12-13T05:14:50.437603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:50.577023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공처리 8
24.2%
재활용신고자 8
24.2%
퇴비화 8
24.2%
액비화 6
18.2%
가축분뇨처리업자 2
 
6.1%
정화방류 1
 
3.0%

연도
Categorical

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
2019
11 
2018
8 
2016
7 
2017
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016
2nd row2016
3rd row2016
4th row2016
5th row2017

Common Values

ValueCountFrequency (%)
2019 11
33.3%
2018 8
24.2%
2016 7
21.2%
2017 7
21.2%

Length

2023-12-13T05:14:50.710957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:50.838871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 11
33.3%
2018 8
24.2%
2016 7
21.2%
2017 7
21.2%

처리량(톤)
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean472.63326
Minimum5.872509
Maximum1822.3782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T05:14:50.976331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.872509
5-th percentile54.949734
Q1100.92207
median296.06405
Q3582.50061
95-th percentile1517.7007
Maximum1822.3782
Range1816.5057
Interquartile range (IQR)481.57854

Descriptive statistics

Standard deviation501.6139
Coefficient of variation (CV)1.0613174
Kurtosis0.99477655
Mean472.63326
Median Absolute Deviation (MAD)204.44436
Skewness1.4173623
Sum15596.898
Variance251616.51
MonotonicityNot monotonic
2023-12-13T05:14:51.128577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
124.637652 1
 
3.0%
57.0716835 1
 
3.0%
346.53822 1
 
3.0%
91.619685 1
 
3.0%
51.76681 1
 
3.0%
296.064045 1
 
3.0%
363.356065 1
 
3.0%
74.3257953 1
 
3.0%
376.6444612 1
 
3.0%
1422.951661 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
5.872509 1
3.0%
51.76681 1
3.0%
57.0716835 1
3.0%
63.278262 1
3.0%
74.3257953 1
3.0%
75.7906443 1
3.0%
78.34158 1
3.0%
91.619685 1
3.0%
100.9220685 1
3.0%
124.637652 1
3.0%
ValueCountFrequency (%)
1822.378175 1
3.0%
1659.824196 1
3.0%
1422.951661 1
3.0%
1280.398395 1
3.0%
1135.140217 1
3.0%
1026.589798 1
3.0%
997.1949627 1
3.0%
787.681111 1
3.0%
582.50061 1
3.0%
412.7284007 1
3.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2021-12-21
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-21
2nd row2021-12-21
3rd row2021-12-21
4th row2021-12-21
5th row2021-12-21

Common Values

ValueCountFrequency (%)
2021-12-21 33
100.0%

Length

2023-12-13T05:14:51.325757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:51.473935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-21 33
100.0%

Interactions

2023-12-13T05:14:49.473207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:14:51.568916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명분뇨처리형태연도처리량(톤)
시군구명1.0000.0000.0000.390
분뇨처리형태0.0001.0000.0000.000
연도0.0000.0001.0000.000
처리량(톤)0.3900.0000.0001.000
2023-12-13T05:14:51.719544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명연도분뇨처리형태
시군구명1.0000.0000.000
연도0.0001.0000.000
분뇨처리형태0.0000.0001.000
2023-12-13T05:14:51.883954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리량(톤)시군구명분뇨처리형태연도
처리량(톤)1.0000.3340.0000.000
시군구명0.3341.0000.0000.000
분뇨처리형태0.0000.0001.0000.000
연도0.0000.0000.0001.000

Missing values

2023-12-13T05:14:49.606125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:14:49.732985image/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

시도명시군구명분뇨처리형태연도처리량(톤)데이터기준일자
0제주특별자치도제주시공공처리2016124.6376522021-12-21
1제주특별자치도제주시액비화20161422.9516612021-12-21
2제주특별자치도제주시재활용신고자20161659.8241962021-12-21
3제주특별자치도제주시퇴비화2016787.6811112021-12-21
4제주특별자치도제주시공공처리2017233.838542021-12-21
5제주특별자치도제주시재활용신고자2017582.500612021-12-21
6제주특별자치도제주시퇴비화20171822.3781752021-12-21
7제주특별자치도제주시공공처리2018193.7379342021-12-21
8제주특별자치도제주시액비화2018277.6469632021-12-21
9제주특별자치도제주시재활용신고자2018997.1949632021-12-21
시도명시군구명분뇨처리형태연도처리량(톤)데이터기준일자
23제주특별자치도서귀포시퇴비화2017363.3560652021-12-21
24제주특별자치도서귀포시공공처리201874.3257952021-12-21
25제주특별자치도서귀포시액비화201857.0716832021-12-21
26제주특별자치도서귀포시재활용신고자2018376.6444612021-12-21
27제주특별자치도서귀포시퇴비화2018375.95122021-12-21
28제주특별자치도서귀포시가축분뇨처리업자20195.8725092021-12-21
29제주특별자치도서귀포시공공처리2019100.9220682021-12-21
30제주특별자치도서귀포시액비화201975.7906442021-12-21
31제주특별자치도서귀포시재활용신고자2019332.0580722021-12-21
32제주특별자치도서귀포시퇴비화2019369.9312472021-12-21