Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory912.0 B
Average record size in memory30.4 B

Variable types

Numeric2
DateTime1

Dataset

Description2018년~2020년6월까지의 의료폐기물 발생량 데이터
Author한국환경공단
URLhttps://www.data.go.kr/data/15064536/fileData.do

Alerts

순번 has unique valuesUnique
기간 has unique valuesUnique
발생량(ton) has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:02:47.242876
Analysis finished2023-12-12 20:02:47.790561
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:02:47.868948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-13T05:02:48.005534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

기간
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-01-01 00:00:00
Maximum2020-06-01 00:00:00
2023-12-13T05:02:48.117607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:48.226289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

발생량(ton)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18466.361
Minimum14838.73
Maximum20892.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T05:02:48.346762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14838.73
5-th percentile15412.762
Q117460.842
median18946.52
Q319557.385
95-th percentile20466.565
Maximum20892.26
Range6053.53
Interquartile range (IQR)2096.5425

Descriptive statistics

Standard deviation1685.9302
Coefficient of variation (CV)0.091297371
Kurtosis-0.49607849
Mean18466.361
Median Absolute Deviation (MAD)944.6
Skewness-0.72593906
Sum553990.82
Variance2842360.6
MonotonicityNot monotonic
2023-12-13T05:02:48.478396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19317.65 1
 
3.3%
20020.36 1
 
3.3%
15933.31 1
 
3.3%
14838.73 1
 
3.3%
15501.4 1
 
3.3%
16091.0 1
 
3.3%
15340.24 1
 
3.3%
17905.21 1
 
3.3%
20232.22 1
 
3.3%
19425.49 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
14838.73 1
3.3%
15340.24 1
3.3%
15501.4 1
3.3%
15933.31 1
3.3%
16091.0 1
3.3%
16452.62 1
3.3%
17014.54 1
3.3%
17312.72 1
3.3%
17905.21 1
3.3%
18215.8 1
3.3%
ValueCountFrequency (%)
20892.26 1
3.3%
20614.62 1
3.3%
20285.61 1
3.3%
20232.22 1
3.3%
20132.26 1
3.3%
20020.36 1
3.3%
19794.41 1
3.3%
19563.53 1
3.3%
19538.95 1
3.3%
19446.83 1
3.3%

Interactions

2023-12-13T05:02:47.505354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:47.319320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:47.587062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:02:47.417464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:02:48.582362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기간발생량(ton)
순번1.0001.0000.674
기간1.0001.0001.000
발생량(ton)0.6741.0001.000
2023-12-13T05:02:48.686220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번발생량(ton)
순번1.000-0.202
발생량(ton)-0.2021.000

Missing values

2023-12-13T05:02:47.688066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:02:47.758532image/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

순번기간발생량(ton)
012018-0119317.65
122018-0216452.62
232018-0318608.4
342018-0418260.92
452018-0519318.11
562018-0618215.8
672018-0719446.83
782018-0819563.53
892018-0917312.72
9102018-1019794.41
순번기간발생량(ton)
20212019-0918907.05
21222019-1020614.62
22232019-1119425.49
23242019-1220232.22
24252020-0117905.21
25262020-0215340.24
26272020-0316091.0
27282020-0415501.4
28292020-0514838.73
29302020-0615933.31