Overview

Dataset statistics

Number of variables5
Number of observations98
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory43.3 B

Variable types

DateTime3
Numeric2

Dataset

Description한국농어촌공사 영산강하구둑 배수갑문 일일방류량에 대한 데이터로 일자 및 방류량 등의 항목을 제공합니다.방류일자 : 날짜형식개문시작시간 : 00:00 시간:분폐문종료시간 : 00:00 시간:분조작문비 : 수문 개방 수량 (갯수)방류량 : 천톤
Author한국농어촌공사
URLhttps://www.data.go.kr/data/15112890/fileData.do

Alerts

조작문비 is highly overall correlated with 방류량(천톤)High correlation
방류량(천톤) is highly overall correlated with 조작문비High correlation

Reproduction

Analysis started2024-03-14 18:24:44.226871
Analysis finished2024-03-14 18:24:46.576729
Duration2.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct88
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size912.0 B
Minimum2022-01-27 00:00:00
Maximum2023-12-28 00:00:00
2024-03-15T03:24:46.813558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:24:47.402369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개문시작시각
Date

Distinct93
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size912.0 B
Minimum2024-03-15 00:05:00
Maximum2024-03-15 22:32:00
2024-03-15T03:24:48.311434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:24:48.885655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐문종료시각
Date

Distinct92
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size912.0 B
Minimum2024-03-15 00:15:00
Maximum2024-03-15 23:43:00
2024-03-15T03:24:49.417969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:24:49.665126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조작문비
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4183673
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-15T03:24:49.864694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q18
median8.5
Q312
95-th percentile12
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7127932
Coefficient of variation (CV)0.28803221
Kurtosis0.89247678
Mean9.4183673
Median Absolute Deviation (MAD)2.5
Skewness-0.94788015
Sum923
Variance7.3592468
MonotonicityNot monotonic
2024-03-15T03:24:50.116775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 40
40.8%
12 30
30.6%
11 12
 
12.2%
13 4
 
4.1%
2 3
 
3.1%
9 2
 
2.0%
5 2
 
2.0%
7 1
 
1.0%
4 1
 
1.0%
10 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
1 1
 
1.0%
2 3
 
3.1%
3 1
 
1.0%
4 1
 
1.0%
5 2
 
2.0%
7 1
 
1.0%
8 40
40.8%
9 2
 
2.0%
10 1
 
1.0%
11 12
 
12.2%
ValueCountFrequency (%)
13 4
 
4.1%
12 30
30.6%
11 12
 
12.2%
10 1
 
1.0%
9 2
 
2.0%
8 40
40.8%
7 1
 
1.0%
5 2
 
2.0%
4 1
 
1.0%
3 1
 
1.0%

방류량(천톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct96
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30380.245
Minimum1010
Maximum155228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1010.0 B
2024-03-15T03:24:50.511028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1010
5-th percentile4878.1
Q113556
median21908
Q334188.5
95-th percentile86003.1
Maximum155228
Range154218
Interquartile range (IQR)20632.5

Descriptive statistics

Standard deviation27645.222
Coefficient of variation (CV)0.90997364
Kurtosis4.5460083
Mean30380.245
Median Absolute Deviation (MAD)9612
Skewness2.0021768
Sum2977264
Variance7.642583 × 108
MonotonicityNot monotonic
2024-03-15T03:24:50.819705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12124 2
 
2.0%
13142 2
 
2.0%
14874 1
 
1.0%
16305 1
 
1.0%
15764 1
 
1.0%
10999 1
 
1.0%
10948 1
 
1.0%
23972 1
 
1.0%
51638 1
 
1.0%
7718 1
 
1.0%
Other values (86) 86
87.8%
ValueCountFrequency (%)
1010 1
1.0%
1347 1
1.0%
1684 1
1.0%
4715 1
1.0%
4771 1
1.0%
4897 1
1.0%
5445 1
1.0%
5677 1
1.0%
6032 1
1.0%
7072 1
1.0%
ValueCountFrequency (%)
155228 1
1.0%
113007 1
1.0%
109336 1
1.0%
91190 1
1.0%
90299 1
1.0%
85245 1
1.0%
85146 1
1.0%
83106 1
1.0%
81012 1
1.0%
73958 1
1.0%

Interactions

2024-03-15T03:24:45.636897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:24:45.033763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:24:45.904806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:24:45.288907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:24:50.999163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자개문시작시각폐문종료시각조작문비방류량(천톤)
일자1.0000.9700.9190.9980.000
개문시작시각0.9701.0000.9860.9890.900
폐문종료시각0.9190.9861.0000.0000.769
조작문비0.9980.9890.0001.0000.000
방류량(천톤)0.0000.9000.7690.0001.000
2024-03-15T03:24:51.186553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조작문비방류량(천톤)
조작문비1.0000.609
방류량(천톤)0.6091.000

Missing values

2024-03-15T03:24:46.228102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:24:46.423769image/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

일자개문시작시각폐문종료시각조작문비방류량(천톤)
02023-01-1209:0011:14814874
12023-01-1902:4505:32816847
22022-01-2709:4912:02813808
32023-02-0908:0009:41812124
42023-02-2408:3910:51822427
52023-03-2508:3710:45814219
62023-04-0606:0808:40821441
72023-04-0807:4209:27813472
82023-04-2006:1708:19817833
92023-05-0517:0720:39822255
일자개문시작시각폐문종료시각조작문비방류량(천톤)
882023-10-1706:5709:34923384
892023-10-1808:0109:1311010
902023-11-1318:2020:25816780
912023-11-1707:4010:05821236
922023-11-3007:0408:50313142
932023-12-0107:4410:28515828
942023-12-1506:3209:57832326
952023-12-1808:5012:03831514
962023-12-1910:4812:2187072
972023-12-2805:5808:52831526