Overview

Dataset statistics

Number of variables4
Number of observations8501
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory274.1 KiB
Average record size in memory33.0 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description수도권매립지에 폐기물 차량의 반입대수 정보입니다.개방항목 : 마감년월, 광역지자체명, 폐기물명, 반입대수 항목을 제공합니다.
Author수도권매립지관리공사
URLhttps://www.data.go.kr/data/15064376/fileData.do

Reproduction

Analysis started2024-04-13 13:05:50.208555
Analysis finished2024-04-13 13:05:52.611302
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마감년월
Date

Distinct296
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
Minimum1999-08-01 00:00:00
Maximum2024-03-01 00:00:00
2024-04-13T22:05:52.826239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:05:53.275638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

광역지자체명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
경기도
3069 
인천시
2824 
서울시
2608 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 3069
36.1%
인천시 2824
33.2%
서울시 2608
30.7%

Length

2024-04-13T22:05:53.691262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:05:54.016811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 3069
36.1%
인천시 2824
33.2%
서울시 2608
30.7%

폐기물명
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
생활
888 
건설폐기물
807 
고형화오니
774 
연탄재
719 
하수준설토
576 
Other values (21)
4737 

Length

Max length19
Median length10
Mean length6.2120927
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하수오니
2nd row하수준설토
3rd row광재등17종
4th row건설폐기물
5th row생활

Common Values

ValueCountFrequency (%)
생활 888
10.4%
건설폐기물 807
 
9.5%
고형화오니 774
 
9.1%
연탄재 719
 
8.5%
하수준설토 576
 
6.8%
중간처리잔재폐기물 567
 
6.7%
광재등17종 538
 
6.3%
정수오니 528
 
6.2%
사업장생활계(자가) 447
 
5.3%
사업장비배출시설계(자가)_협의폐기물 440
 
5.2%
Other values (16) 2217
26.1%

Length

2024-04-13T22:05:54.412472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
생활 888
 
10.2%
건설폐기물 807
 
9.2%
고형화오니 774
 
8.9%
연탄재 719
 
8.2%
하수준설토 576
 
6.6%
중간처리잔재폐기물 567
 
6.5%
광재등17종 538
 
6.2%
정수오니 528
 
6.1%
사업장생활계(자가 447
 
5.1%
사업장비배출시설계(자가)_협의폐기물 440
 
5.0%
Other values (17) 2442
28.0%

반입대수
Real number (ℝ)

Distinct2397
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean887.9533
Minimum1
Maximum15696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-04-13T22:05:54.812150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q136
median173
Q3787
95-th percentile4108
Maximum15696
Range15695
Interquartile range (IQR)751

Descriptive statistics

Standard deviation1875.4141
Coefficient of variation (CV)2.1120639
Kurtosis18.021966
Mean887.9533
Median Absolute Deviation (MAD)165
Skewness3.9010446
Sum7548491
Variance3517178.1
MonotonicityNot monotonic
2024-04-13T22:05:55.264102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 310
 
3.6%
2 191
 
2.2%
3 140
 
1.6%
5 102
 
1.2%
4 101
 
1.2%
6 87
 
1.0%
7 85
 
1.0%
8 65
 
0.8%
9 64
 
0.8%
12 62
 
0.7%
Other values (2387) 7294
85.8%
ValueCountFrequency (%)
1 310
3.6%
2 191
2.2%
3 140
1.6%
4 101
 
1.2%
5 102
 
1.2%
6 87
 
1.0%
7 85
 
1.0%
8 65
 
0.8%
9 64
 
0.8%
10 57
 
0.7%
ValueCountFrequency (%)
15696 1
< 0.1%
15030 1
< 0.1%
14912 1
< 0.1%
14848 1
< 0.1%
14820 1
< 0.1%
14652 1
< 0.1%
14597 1
< 0.1%
14523 1
< 0.1%
14168 1
< 0.1%
14111 1
< 0.1%

Interactions

2024-04-13T22:05:51.785909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T22:05:55.540047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광역지자체명폐기물명반입대수
광역지자체명1.0000.4960.299
폐기물명0.4961.0000.597
반입대수0.2990.5971.000
2024-04-13T22:05:55.779850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물명광역지자체명
폐기물명1.0000.294
광역지자체명0.2941.000
2024-04-13T22:05:56.017251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
반입대수광역지자체명폐기물명
반입대수1.0000.1880.262
광역지자체명0.1881.0000.294
폐기물명0.2620.2941.000

Missing values

2024-04-13T22:05:52.161536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T22:05:52.471921image/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

마감년월광역지자체명폐기물명반입대수
01999-08서울시하수오니6725
11999-08서울시하수준설토1823
21999-08서울시광재등17종16
31999-08서울시건설폐기물9986
41999-08서울시생활12471
51999-08서울시사업장생활계(자가)452
61999-08서울시가내공업1170
71999-08서울시연탄재2
81999-08서울시열경화성폐합성수지126
91999-08인천시오니류등4종6
마감년월광역지자체명폐기물명반입대수
84912024-03경기도하수오니3
84922024-03경기도고형화오니359
84932024-03경기도하수준설토16
84942024-03경기도사업장배출계(기타)26
84952024-03경기도생활2203
84962024-03경기도연탄재62
84972024-03경기도중간처리잔재폐기물130
84982024-03경기도사업장비배출시설계(자가)_협의폐기물25
84992024-03경기도음식물탈리액291
85002024-03경기도음폐수241