Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory924.0 B
Average record size in memory38.5 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description수도권매립지에 반입되는 공촌정수사업소 배출처의 월간 폐기물 실중량(톤) 정보입니다. 개방항목 : 마감년월, 배출처명, 폐기물명, 실중량 수도권매립지에 반입되는 공촌정수사업소 배출처의 폐기물 실중량(톤)정보입니다.
URLhttps://www.data.go.kr/data/15064392/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 01:29:34.712983
Analysis finished2023-12-12 01:29:35.072473
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마감년월
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2019-01-01 00:00:00
Maximum2020-12-01 00:00:00
2023-12-12T10:29:35.134311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:29:35.256348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

배출처명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
공촌정수사업소
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공촌정수사업소 24
100.0%

Length

2023-12-12T10:29:35.381539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:29:35.473791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공촌정수사업소 24
100.0%

폐기물명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
정수오니
24 

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 24
100.0%

Length

2023-12-12T10:29:35.595968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:29:35.694379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정수오니 24
100.0%

실중량
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean652.90167
Minimum241.26
Maximum1397.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T10:29:35.788624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum241.26
5-th percentile276.0605
Q1437.49
median649.1
Q3779.7775
95-th percentile1115.9635
Maximum1397.24
Range1155.98
Interquartile range (IQR)342.2875

Descriptive statistics

Standard deviation282.79164
Coefficient of variation (CV)0.43313053
Kurtosis0.65838776
Mean652.90167
Median Absolute Deviation (MAD)193.37
Skewness0.81147502
Sum15669.64
Variance79971.113
MonotonicityNot monotonic
2023-12-12T10:29:35.930471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
391.26 1
 
4.2%
555.67 1
 
4.2%
345.65 1
 
4.2%
923.76 1
 
4.2%
1135.3 1
 
4.2%
1397.24 1
 
4.2%
1006.39 1
 
4.2%
406.61 1
 
4.2%
467.89 1
 
4.2%
489.22 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
241.26 1
4.2%
263.78 1
4.2%
345.65 1
4.2%
391.26 1
4.2%
406.61 1
4.2%
419.25 1
4.2%
443.57 1
4.2%
467.89 1
4.2%
489.22 1
4.2%
524.39 1
4.2%
ValueCountFrequency (%)
1397.24 1
4.2%
1135.3 1
4.2%
1006.39 1
4.2%
923.76 1
4.2%
912.48 1
4.2%
809.29 1
4.2%
769.94 1
4.2%
749.43 1
4.2%
728.23 1
4.2%
707.79 1
4.2%

Interactions

2023-12-12T10:29:34.790355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:29:36.040582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마감년월실중량
마감년월1.0001.000
실중량1.0001.000

Missing values

2023-12-12T10:29:34.930606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:29:35.037951image/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
02019-01공촌정수사업소정수오니391.26
12019-02공촌정수사업소정수오니241.26
22019-03공촌정수사업소정수오니443.57
32019-04공촌정수사업소정수오니647.64
42019-05공촌정수사업소정수오니912.48
52019-06공촌정수사업소정수오니809.29
62019-07공촌정수사업소정수오니769.94
72019-08공촌정수사업소정수오니650.56
82019-09공촌정수사업소정수오니707.79
92019-10공촌정수사업소정수오니749.43
마감년월배출처명폐기물명실중량
142020-03공촌정수사업소정수오니683.04
152020-04공촌정수사업소정수오니524.39
162020-05공촌정수사업소정수오니489.22
172020-06공촌정수사업소정수오니467.89
182020-07공촌정수사업소정수오니406.61
192020-08공촌정수사업소정수오니1006.39
202020-09공촌정수사업소정수오니1397.24
212020-10공촌정수사업소정수오니1135.3
222020-11공촌정수사업소정수오니923.76
232020-12공촌정수사업소정수오니345.65