Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory891.0 B
Average record size in memory38.7 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description수도권매립지에 반입되는 광명시 환경수도사업소 배출처의 월간 폐기물 실중량(톤) 정보입니다. 개방항목 : 마감년월, 배출처명, 폐기물명, 실중량 수도권매립지에 반입되는 광명시 환경수도사업소 배출처의 폐기물 실중량(톤)정보입니다.
URLhttps://www.data.go.kr/data/15064391/fileData.do

Alerts

배출처명 has constant value ""Constant
폐기물명 has constant value ""Constant
마감년월 has unique valuesUnique
실중량 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:47:10.030659
Analysis finished2023-12-12 21:47:10.362790
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마감년월
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2019-01-01 00:00:00
Maximum2020-11-01 00:00:00
2023-12-13T06:47:10.487228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:47:10.598098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

배출처명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
광명시 환경수도사업소
23 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광명시 환경수도사업소
2nd row광명시 환경수도사업소
3rd row광명시 환경수도사업소
4th row광명시 환경수도사업소
5th row광명시 환경수도사업소

Common Values

ValueCountFrequency (%)
광명시 환경수도사업소 23
100.0%

Length

2023-12-13T06:47:10.749519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:10.861470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광명시 23
50.0%
환경수도사업소 23
50.0%

폐기물명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
정수오니
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정수오니 23
100.0%

Length

2023-12-13T06:47:10.976428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:47:11.081407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정수오니 23
100.0%

실중량
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.80957
Minimum162.44
Maximum693.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T06:47:11.175327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162.44
5-th percentile171.579
Q1224.775
median288.99
Q3326.185
95-th percentile591.772
Maximum693.16
Range530.72
Interquartile range (IQR)101.41

Descriptive statistics

Standard deviation127.18895
Coefficient of variation (CV)0.42282215
Kurtosis4.4159852
Mean300.80957
Median Absolute Deviation (MAD)56.7
Skewness1.9982497
Sum6918.62
Variance16177.028
MonotonicityNot monotonic
2023-12-13T06:47:11.322542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
203.36 1
 
4.3%
162.44 1
 
4.3%
192.99 1
 
4.3%
331.95 1
 
4.3%
613.8 1
 
4.3%
693.16 1
 
4.3%
169.2 1
 
4.3%
290.63 1
 
4.3%
263.74 1
 
4.3%
348.91 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
162.44 1
4.3%
169.2 1
4.3%
192.99 1
4.3%
195.4 1
4.3%
203.36 1
4.3%
217.26 1
4.3%
232.29 1
4.3%
244.04 1
4.3%
249.68 1
4.3%
263.74 1
4.3%
ValueCountFrequency (%)
693.16 1
4.3%
613.8 1
4.3%
393.52 1
4.3%
354.99 1
4.3%
348.91 1
4.3%
331.95 1
4.3%
320.42 1
4.3%
293.36 1
4.3%
293.06 1
4.3%
292.56 1
4.3%

Interactions

2023-12-13T06:47:10.106247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:47:11.416285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마감년월실중량
마감년월1.0001.000
실중량1.0001.000

Missing values

2023-12-13T06:47:10.236267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:47:10.329421image/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

마감년월배출처명폐기물명실중량
02019-01광명시 환경수도사업소정수오니203.36
12019-02광명시 환경수도사업소정수오니162.44
22019-03광명시 환경수도사업소정수오니293.36
32019-04광명시 환경수도사업소정수오니393.52
42019-05광명시 환경수도사업소정수오니249.68
52019-06광명시 환경수도사업소정수오니244.04
62019-07광명시 환경수도사업소정수오니195.4
72019-08광명시 환경수도사업소정수오니217.26
82019-09광명시 환경수도사업소정수오니292.56
92019-10광명시 환경수도사업소정수오니288.99
마감년월배출처명폐기물명실중량
132020-02광명시 환경수도사업소정수오니272.87
142020-03광명시 환경수도사업소정수오니320.42
152020-04광명시 환경수도사업소정수오니348.91
162020-05광명시 환경수도사업소정수오니263.74
172020-06광명시 환경수도사업소정수오니290.63
182020-07광명시 환경수도사업소정수오니169.2
192020-08광명시 환경수도사업소정수오니693.16
202020-09광명시 환경수도사업소정수오니613.8
212020-10광명시 환경수도사업소정수오니331.95
222020-11광명시 환경수도사업소정수오니192.99