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

Categorical5
Numeric1
DateTime1

Dataset

Description환경부 가축분뇨 발생량 및 처리량 자료에서 제주특별자치도에 해당되는 분뇨처리 형태(공공처리시설, 앱비화, 퇴비화 등)별 농가 수에 대한 현황 데이터입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15097019/fileData.do

Alerts

시도명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
분뇨처리형태 is highly overall correlated with 처리기준High correlation
처리기준 is highly overall correlated with 농가수 and 1 other fieldsHigh correlation
농가수 is highly overall correlated with 처리기준High correlation

Reproduction

Analysis started2023-12-12 12:40:47.271137
Analysis finished2023-12-12 12:40:47.838182
Duration0.57 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

2023-12-12T21:40:47.923451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:48.035815image/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

2023-12-12T21:40:48.142706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:48.259111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 17
51.5%
서귀포시 16
48.5%

처리기준
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
위탁처리
18 
자가처리
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row위탁처리
2nd row위탁처리
3rd row자가처리
4th row자가처리
5th row위탁처리

Common Values

ValueCountFrequency (%)
위탁처리 18
54.5%
자가처리 15
45.5%

Length

2023-12-12T21:40:48.374680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:48.485814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁처리 18
54.5%
자가처리 15
45.5%

분뇨처리형태
Categorical

HIGH CORRELATION 

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

Length

Max length8
Median length6
Mean length4.7878788
Min length3

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

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

Length

2023-12-12T21:40:48.644768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:48.786596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공처리시설 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

2023-12-12T21:40:48.968087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:40:49.096303image/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%

농가수
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.06061
Minimum4
Maximum915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T21:40:49.209839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.2
Q124
median61
Q3304
95-th percentile911.2
Maximum915
Range911
Interquartile range (IQR)280

Descriptive statistics

Standard deviation311.07535
Coefficient of variation (CV)1.4532116
Kurtosis1.242716
Mean214.06061
Median Absolute Deviation (MAD)50
Skewness1.6480047
Sum7064
Variance96767.871
MonotonicityNot monotonic
2023-12-12T21:40:49.322974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 2
 
6.1%
11 2
 
6.1%
61 2
 
6.1%
13 2
 
6.1%
137 1
 
3.0%
337 1
 
3.0%
28 1
 
3.0%
322 1
 
3.0%
72 1
 
3.0%
24 1
 
3.0%
Other values (19) 19
57.6%
ValueCountFrequency (%)
4 2
6.1%
11 2
6.1%
13 2
6.1%
17 1
3.0%
23 1
3.0%
24 1
3.0%
26 1
3.0%
28 1
3.0%
36 1
3.0%
38 1
3.0%
ValueCountFrequency (%)
915 1
3.0%
913 1
3.0%
910 1
3.0%
898 1
3.0%
857 1
3.0%
382 1
3.0%
337 1
3.0%
322 1
3.0%
304 1
3.0%
162 1
3.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2021-12-21 00:00:00
Maximum2021-12-21 00:00:00
2023-12-12T21:40:49.423101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:40:49.527081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:40:47.539231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:40:49.597860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명처리기준분뇨처리형태연도농가수
시군구명1.0000.0000.0000.0000.301
처리기준0.0001.0001.0000.0000.504
분뇨처리형태0.0001.0001.0000.0000.530
연도0.0000.0000.0001.0000.000
농가수0.3010.5040.5300.0001.000
2023-12-12T21:40:49.706656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명분뇨처리형태처리기준연도
시군구명1.0000.0000.0000.000
분뇨처리형태0.0001.0000.9330.000
처리기준0.0000.9331.0000.000
연도0.0000.0000.0001.000
2023-12-12T21:40:49.809997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농가수시군구명처리기준분뇨처리형태연도
농가수1.0000.3440.5790.3820.000
시군구명0.3441.0000.0000.0000.000
처리기준0.5790.0001.0000.9330.000
분뇨처리형태0.3820.0000.9331.0000.000
연도0.0000.0000.0000.0001.000

Missing values

2023-12-12T21:40:47.655464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:40:47.779792image/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

시도명시군구명처리기준분뇨처리형태연도농가수데이터기준일자
0제주특별자치도제주시위탁처리공공처리시설2016362021-12-21
1제주특별자치도제주시위탁처리재활용신고자20161372021-12-21
2제주특별자치도제주시자가처리액비화20163042021-12-21
3제주특별자치도제주시자가처리퇴비화20169152021-12-21
4제주특별자치도제주시위탁처리공공처리시설2017402021-12-21
5제주특별자치도제주시위탁처리재활용신고자2017862021-12-21
6제주특별자치도제주시자가처리퇴비화20178572021-12-21
7제주특별자치도제주시위탁처리공공처리시설2018382021-12-21
8제주특별자치도제주시위탁처리재활용신고자20181532021-12-21
9제주특별자치도제주시자가처리액비화2018442021-12-21
시도명시군구명처리기준분뇨처리형태연도농가수데이터기준일자
23제주특별자치도서귀포시자가처리퇴비화20173822021-12-21
24제주특별자치도서귀포시위탁처리공공처리시설2018242021-12-21
25제주특별자치도서귀포시위탁처리재활용신고자2018722021-12-21
26제주특별자치도서귀포시자가처리액비화2018112021-12-21
27제주특별자치도서귀포시자가처리퇴비화20183222021-12-21
28제주특별자치도서귀포시위탁처리가축분뇨처리업자201942021-12-21
29제주특별자치도서귀포시위탁처리공공처리시설2019282021-12-21
30제주특별자치도서귀포시위탁처리재활용신고자2019612021-12-21
31제주특별자치도서귀포시자가처리액비화2019132021-12-21
32제주특별자치도서귀포시자가처리퇴비화20193372021-12-21