Overview

Dataset statistics

Number of variables4
Number of observations277
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory33.5 B

Variable types

DateTime3
Numeric1

Dataset

Description한국농어촌공사 화성방조제 배수갑문 일일방류량에 대한 데이터로 일자 및 방류량 등의 항목을 제공합니다.일자 : 날짜형식방류시작시간 : 00:00 시간:분방류종료시간 : 00:00 시간:분방류량(천톤) : 천톤
Author한국농어촌공사
URLhttps://www.data.go.kr/data/15113998/fileData.do

Reproduction

Analysis started2023-12-12 15:54:06.535756
Analysis finished2023-12-12 15:54:07.329156
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct260
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-04-02 00:00:00
Maximum2023-10-17 00:00:00
2023-12-13T00:54:07.420142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:54:07.597240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개문시작시각
Date

Distinct82
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2023-12-13 00:10:00
Maximum2023-12-13 23:30:00
2023-12-13T00:54:07.797957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:54:07.962203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐문종료시각
Date

Distinct77
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 23:59:00
2023-12-13T00:54:08.138801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:54:08.327045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방류량(천톤)
Real number (ℝ)

Distinct260
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4925986.3
Minimum57460
Maximum18467911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-13T00:54:08.498453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57460
5-th percentile478833
Q13207314
median4848125
Q36713668
95-th percentile9005097
Maximum18467911
Range18410451
Interquartile range (IQR)3506354

Descriptive statistics

Standard deviation2823110.9
Coefficient of variation (CV)0.57310572
Kurtosis1.5407886
Mean4925986.3
Median Absolute Deviation (MAD)1799276
Skewness0.57177993
Sum1.3644982 × 109
Variance7.9699553 × 1012
MonotonicityNot monotonic
2023-12-13T00:54:08.725185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7691403 3
 
1.1%
1655139 2
 
0.7%
656685 2
 
0.7%
574600 2
 
0.7%
560919 2
 
0.7%
4120141 2
 
0.7%
4661266 2
 
0.7%
273619 2
 
0.7%
6713668 2
 
0.7%
8252585 2
 
0.7%
Other values (250) 256
92.4%
ValueCountFrequency (%)
57460 1
0.4%
144682 1
0.4%
150490 1
0.4%
191533 1
0.4%
259938 1
0.4%
273619 2
0.7%
300918 1
0.4%
342024 1
0.4%
424109 1
0.4%
437790 1
0.4%
ValueCountFrequency (%)
18467911 1
0.4%
14597825 1
0.4%
13375215 1
0.4%
12489885 1
0.4%
11078074 1
0.4%
10400426 1
0.4%
10379563 1
0.4%
9981607 1
0.4%
9871715 1
0.4%
9785064 1
0.4%

Interactions

2023-12-13T00:54:07.030100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:54:08.871281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개문시작시각폐문종료시각방류량(천톤)
개문시작시각1.0000.9780.832
폐문종료시각0.9781.0000.770
방류량(천톤)0.8320.7701.000

Missing values

2023-12-13T00:54:07.175164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:54:07.287280image/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

일자개문시작시각폐문종료시각방류량(천톤)
02018-04-0211:2013:303264447
12018-04-0311:4013:502514732
22018-04-1609:5012:304936509
32018-04-2011:5014:406006291
42018-05-0211:1013:201891998
52018-05-0312:3014:101067417
62018-05-1509:3012:104108085
72018-05-1610:3012:403491656
82018-05-1811:3014:204514196
92018-05-2808:5011:105082235
일자개문시작시각폐문종료시각방류량(천톤)
2672023-08-2111:5514:30478833
2682023-08-2212:4014:25191533
2692023-08-2719:3023:10588281
2702023-08-2818:4021:35342024
2712023-08-3020:3000:20673366
2722023-09-0411:5013:10506195
2732023-09-1509:5012:20451471
2742023-09-1811:0013:50533557
2752023-10-1610:3013:10588281
2762023-10-1710:4013:50656685