Overview

Dataset statistics

Number of variables4
Number of observations404
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory33.3 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description수도권매립지에 반입되는 음폐수 반입량 정보입니다.개방항목 : 마감년월, 광역지자체명, 폐기물명, 실중량(kg) 항목을 제공합니다.
Author수도권매립지관리공사
URLhttps://www.data.go.kr/data/15064374/fileData.do

Alerts

폐기물명 has constant value ""Constant
실중량(kg) is highly overall correlated with 광역지자체명High correlation
광역지자체명 is highly overall correlated with 실중량(kg)High correlation
실중량(kg) has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:30:19.416442
Analysis finished2024-04-21 01:30:20.607987
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마감년월
Date

Distinct135
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2013-01-01 00:00:00
Maximum2024-03-01 00:00:00
2024-04-21T10:30:20.679119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:20.803887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

광역지자체명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
유기성사업실 인천시
135 
유기성사업실 경기도
135 
유기성사업실 서울시
134 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유기성사업실 인천시
2nd row유기성사업실 경기도
3rd row유기성사업실 서울시
4th row유기성사업실 인천시
5th row유기성사업실 경기도

Common Values

ValueCountFrequency (%)
유기성사업실 인천시 135
33.4%
유기성사업실 경기도 135
33.4%
유기성사업실 서울시 134
33.2%

Length

2024-04-21T10:30:20.930706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:30:21.022995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유기성사업실 404
50.0%
인천시 135
 
16.7%
경기도 135
 
16.7%
서울시 134
 
16.6%

폐기물명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
음폐수
404 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음폐수 404
100.0%

Length

2024-04-21T10:30:21.115923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:30:21.195549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음폐수 404
100.0%

실중량(kg)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct404
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3977212.1
Minimum179470
Maximum8508440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-21T10:30:21.354994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179470
5-th percentile854057.5
Q12092835
median4122830
Q35608770
95-th percentile7095544
Maximum8508440
Range8328970
Interquartile range (IQR)3515935

Descriptive statistics

Standard deviation2020260.1
Coefficient of variation (CV)0.50795886
Kurtosis-1.0456124
Mean3977212.1
Median Absolute Deviation (MAD)1756585
Skewness0.03710225
Sum1.6067937 × 109
Variance4.0814509 × 1012
MonotonicityNot monotonic
2024-04-21T10:30:21.515093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
668930 1
 
0.2%
2400560 1
 
0.2%
5282580 1
 
0.2%
2133460 1
 
0.2%
3620780 1
 
0.2%
5326080 1
 
0.2%
2139460 1
 
0.2%
4693010 1
 
0.2%
5540770 1
 
0.2%
2365860 1
 
0.2%
Other values (394) 394
97.5%
ValueCountFrequency (%)
179470 1
0.2%
364930 1
0.2%
471030 1
0.2%
478530 1
0.2%
492670 1
0.2%
578570 1
0.2%
616800 1
0.2%
652680 1
0.2%
662590 1
0.2%
668930 1
0.2%
ValueCountFrequency (%)
8508440 1
0.2%
8434270 1
0.2%
8302530 1
0.2%
8210500 1
0.2%
8166410 1
0.2%
8129220 1
0.2%
7982250 1
0.2%
7899500 1
0.2%
7811530 1
0.2%
7680390 1
0.2%

Interactions

2024-04-21T10:30:20.192450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:30:21.602266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광역지자체명실중량(kg)
광역지자체명1.0000.734
실중량(kg)0.7341.000
2024-04-21T10:30:21.686855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실중량(kg)광역지자체명
실중량(kg)1.0000.595
광역지자체명0.5951.000

Missing values

2024-04-21T10:30:20.493335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:30:20.565734image/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

마감년월광역지자체명폐기물명실중량(kg)
02013-01유기성사업실 인천시음폐수668930
12013-01유기성사업실 경기도음폐수364930
22013-02유기성사업실 서울시음폐수1074980
32013-02유기성사업실 인천시음폐수1728950
42013-02유기성사업실 경기도음폐수1335620
52013-03유기성사업실 서울시음폐수2230630
62013-03유기성사업실 인천시음폐수2120140
72013-03유기성사업실 경기도음폐수2076950
82013-04유기성사업실 서울시음폐수2887090
92013-04유기성사업실 인천시음폐수2670270
마감년월광역지자체명폐기물명실중량(kg)
3942023-12유기성사업실 경기도음폐수5534690
3952024-01유기성사업실 서울시음폐수5729720
3962024-01유기성사업실 인천시음폐수662590
3972024-01유기성사업실 경기도음폐수5565390
3982024-02유기성사업실 서울시음폐수6064960
3992024-02유기성사업실 인천시음폐수742700
4002024-02유기성사업실 경기도음폐수5637440
4012024-03유기성사업실 서울시음폐수5559750
4022024-03유기성사업실 인천시음폐수578570
4032024-03유기성사업실 경기도음폐수5726380