Overview

Dataset statistics

Number of variables3
Number of observations120
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory27.1 B

Variable types

DateTime1
Numeric2

Dataset

Description서울특별시 광진구 관내 가정폐기물 현황 데이터이며, 월별 발생량(발생년월, 재활용, 음식폐기물)의 정보를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15069422/fileData.do

Alerts

발생년월 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:07:26.859030
Analysis finished2024-03-14 10:07:28.621146
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생년월
Date

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2014-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-14T19:07:28.831237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:29.256410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재활용폐기물(톤)
Real number (ℝ)

Distinct107
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1349.4583
Minimum924
Maximum1651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:07:29.667686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum924
5-th percentile1002.75
Q11280
median1379.5
Q31463
95-th percentile1587.35
Maximum1651
Range727
Interquartile range (IQR)183

Descriptive statistics

Standard deviation169.09705
Coefficient of variation (CV)0.12530735
Kurtosis0.15048631
Mean1349.4583
Median Absolute Deviation (MAD)95.5
Skewness-0.68852845
Sum161935
Variance28593.813
MonotonicityNot monotonic
2024-03-14T19:07:30.113477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1418 3
 
2.5%
1357 2
 
1.7%
1390 2
 
1.7%
1277 2
 
1.7%
1497 2
 
1.7%
1402 2
 
1.7%
1307 2
 
1.7%
1396 2
 
1.7%
1462 2
 
1.7%
1068 2
 
1.7%
Other values (97) 99
82.5%
ValueCountFrequency (%)
924 1
0.8%
927 1
0.8%
951 1
0.8%
962 1
0.8%
963 1
0.8%
998 1
0.8%
1003 1
0.8%
1005 1
0.8%
1036 1
0.8%
1048 1
0.8%
ValueCountFrequency (%)
1651 1
0.8%
1647 1
0.8%
1643 1
0.8%
1635 1
0.8%
1628 1
0.8%
1613 1
0.8%
1586 1
0.8%
1570 1
0.8%
1566 1
0.8%
1551 1
0.8%

음식물폐기물(톤)
Real number (ℝ)

Distinct109
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2334.3083
Minimum1816
Maximum3032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T19:07:30.538559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1816
5-th percentile1950.95
Q12137.75
median2328
Q32501.5
95-th percentile2779.7
Maximum3032
Range1216
Interquartile range (IQR)363.75

Descriptive statistics

Standard deviation257.16469
Coefficient of variation (CV)0.1101674
Kurtosis-0.43115258
Mean2334.3083
Median Absolute Deviation (MAD)176
Skewness0.14964767
Sum280117
Variance66133.677
MonotonicityNot monotonic
2024-03-14T19:07:30.989186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2389 2
 
1.7%
2345 2
 
1.7%
2226 2
 
1.7%
2284 2
 
1.7%
2085 2
 
1.7%
2600 2
 
1.7%
2325 2
 
1.7%
1967 2
 
1.7%
2414 2
 
1.7%
2164 2
 
1.7%
Other values (99) 100
83.3%
ValueCountFrequency (%)
1816 1
0.8%
1822 1
0.8%
1832 1
0.8%
1842 1
0.8%
1848 1
0.8%
1950 1
0.8%
1951 1
0.8%
1967 2
1.7%
1971 1
0.8%
1979 1
0.8%
ValueCountFrequency (%)
3032 1
0.8%
2872 1
0.8%
2805 1
0.8%
2801 1
0.8%
2795 1
0.8%
2793 1
0.8%
2779 1
0.8%
2775 1
0.8%
2721 1
0.8%
2719 1
0.8%

Interactions

2024-03-14T19:07:27.475548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:26.954035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:27.740525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:07:27.217784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:07:31.255994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재활용폐기물(톤)음식물폐기물(톤)
재활용폐기물(톤)1.0000.561
음식물폐기물(톤)0.5611.000
2024-03-14T19:07:31.485996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재활용폐기물(톤)음식물폐기물(톤)
재활용폐기물(톤)1.000-0.452
음식물폐기물(톤)-0.4521.000

Missing values

2024-03-14T19:07:28.279451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:07:28.518404image/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

발생년월재활용폐기물(톤)음식물폐기물(톤)
02014-01-019242378
12014-02-019272342
22014-03-019632480
32014-04-019512439
42014-05-0110682630
52014-06-0110052793
62014-07-019983032
72014-08-0110032779
82014-09-0110682801
92014-10-0110362661
발생년월재활용폐기물(톤)음식물폐기물(톤)
1102023-03-0115161967
1112023-04-0114081822
1122023-05-0116472167
1132023-06-0114772137
1142023-07-0116512271
1152023-08-0116352059
1162023-09-0115351832
1172023-10-0116432138
1182023-11-0115072503
1192023-12-0115371950