Overview

Dataset statistics

Number of variables2
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory244.1 KiB
Average record size in memory25.0 B

Variable types

DateTime1
Numeric1

Dataset

Description한국수력원자력에서 운영했던 2017년부터 2022년까지의 강릉수력(도암댐)의 시간대별 자료 입니다.강릉 수력은 현재 운영하지 않아 해당 데이터의 차후 업데이트는 없습니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15124084/fileData.do

Alerts

날짜 has unique valuesUnique
방류량(cms) has 284 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-12 00:54:18.156441
Analysis finished2023-12-12 00:54:18.482927
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-01-01 04:00:00
Maximum2022-12-05 04:00:00
2023-12-12T09:54:18.563146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:54:18.679746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방류량(cms)
Real number (ℝ)

ZEROS 

Distinct346
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.849569
Minimum0
Maximum414.18
Zeros284
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T09:54:18.798043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.42
Q11.03
median1.78
Q33.47
95-th percentile18.28
Maximum414.18
Range414.18
Interquartile range (IQR)2.44

Descriptive statistics

Standard deviation12.886021
Coefficient of variation (CV)2.6571476
Kurtosis211.37609
Mean4.849569
Median Absolute Deviation (MAD)0.91
Skewness10.66446
Sum48495.69
Variance166.04953
MonotonicityNot monotonic
2023-12-12T09:54:18.898643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.95 548
 
5.5%
1.11 477
 
4.8%
1.48 424
 
4.2%
1.03 385
 
3.9%
0.8 376
 
3.8%
0.87 376
 
3.8%
1.38 339
 
3.4%
1.2 334
 
3.3%
1.29 313
 
3.1%
2.0 290
 
2.9%
Other values (336) 6138
61.4%
ValueCountFrequency (%)
0.0 284
2.8%
0.01 9
 
0.1%
0.03 2
 
< 0.1%
0.05 4
 
< 0.1%
0.08 3
 
< 0.1%
0.11 10
 
0.1%
0.14 8
 
0.1%
0.18 10
 
0.1%
0.22 12
 
0.1%
0.27 32
 
0.3%
ValueCountFrequency (%)
414.18 1
< 0.1%
364.66 1
< 0.1%
214.79 1
< 0.1%
205.89 1
< 0.1%
198.88 1
< 0.1%
194.55 1
< 0.1%
189.39 1
< 0.1%
166.04 1
< 0.1%
150.86 1
< 0.1%
150.08 1
< 0.1%

Interactions

2023-12-12T09:54:18.241553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T09:54:18.362658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:54:18.444403image/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

날짜방류량(cms)
354102021-02-04 14:000.36
272082020-02-28 18:001.68
283192020-04-15 01:003.17
328032020-10-18 23:001.78
82782017-12-21 04:000.6
399472021-08-12 15:002.88
486612022-08-10 22:0078.6
388462021-06-27 18:003.47
273492020-03-05 15:002.12
500042022-10-06 14:0014.99
날짜방류량(cms)
4012017-01-17 19:000.8
219162019-07-23 05:003.47
479552022-07-12 12:004.86
216062019-07-10 07:001.03
374352021-04-29 23:002.48
486882022-08-12 01:0098.2
446292022-02-23 22:000.95
190192019-03-24 12:001.48
469092022-05-29 22:000.8
366662021-03-28 22:005.52