Dataset statistics
| Number of variables | 4 |
|---|---|
| Number of observations | 72 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.4 KiB |
| Average record size in memory | 34.8 B |
Variable types
| DateTime | 3 |
|---|---|
| Numeric | 1 |
Dataset
| Description | 한국농어촌공사 아산방조제 배수갑문 일일방류량에 대한 데이터로 일자 및 방류량 등의 항목을 제공합니다.년도, 일자, 방류량(천톤) |
|---|---|
| Author | 한국농어촌공사 |
| URL | https://www.data.go.kr/data/15113997/fileData.do |
Reproduction
| Analysis started | 2023-12-16 15:46:36.917581 |
|---|---|
| Analysis finished | 2023-12-16 15:46:39.150033 |
| Duration | 2.23 seconds |
| Software version | ydata-profiling vv4.5.1 |
| Download configuration | config.json |
일자
Date
| Distinct | 67 |
|---|---|
| Distinct (%) | 93.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 708.0 B |
| Minimum | 2023-01-02 00:00:00 |
|---|---|
| Maximum | 2023-10-04 00:00:00 |
Histogram with fixed size bins (bins=50)
방류량(천톤)
Real number (ℝ)
| Distinct | 70 |
|---|---|
| Distinct (%) | 97.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12748.056 |
| Minimum | 3610 |
|---|---|
| Maximum | 37875 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 780.0 B |
Quantile statistics
| Minimum | 3610 |
|---|---|
| 5-th percentile | 5058.55 |
| Q1 | 8181 |
| median | 11145.5 |
| Q3 | 15727.75 |
| 95-th percentile | 24864.05 |
| Maximum | 37875 |
| Range | 34265 |
| Interquartile range (IQR) | 7546.75 |
Descriptive statistics
| Standard deviation | 6469.2967 |
|---|---|
| Coefficient of variation (CV) | 0.50747322 |
| Kurtosis | 2.4288222 |
| Mean | 12748.056 |
| Median Absolute Deviation (MAD) | 3326.5 |
| Skewness | 1.3542011 |
| Sum | 917860 |
| Variance | 41851800 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7949 | 2 | 2.8% |
| 8913 | 2 | 2.8% |
| 15411 | 1 | 1.4% |
| 17213 | 1 | 1.4% |
| 18769 | 1 | 1.4% |
| 19637 | 1 | 1.4% |
| 11199 | 1 | 1.4% |
| 9478 | 1 | 1.4% |
| 17369 | 1 | 1.4% |
| 8904 | 1 | 1.4% |
| Other values (60) | 60 |
| Value | Count | Frequency (%) |
| 3610 | 1 | |
| 4738 | 1 | |
| 4818 | 1 | |
| 5058 | 1 | |
| 5059 | 1 | |
| 5177 | 1 | |
| 5638 | 1 | |
| 5781 | 1 | |
| 6438 | 1 | |
| 6985 | 1 |
| Value | Count | Frequency (%) |
| 37875 | 1 | |
| 28763 | 1 | |
| 27337 | 1 | |
| 26266 | 1 | |
| 23717 | 1 | |
| 23522 | 1 | |
| 22011 | 1 | |
| 21745 | 1 | |
| 19729 | 1 | |
| 19637 | 1 |
개문시간
Date
| Distinct | 32 |
|---|---|
| Distinct (%) | 44.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 708.0 B |
| Minimum | 2023-12-16 01:00:00 |
|---|---|
| Maximum | 2023-12-16 22:30:00 |
Histogram with fixed size bins (bins=32)
폐문시간
Date
| Distinct | 50 |
|---|---|
| Distinct (%) | 69.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 708.0 B |
| Minimum | 2023-12-16 00:00:00 |
|---|---|
| Maximum | 2023-12-16 23:00:00 |
Histogram with fixed size bins (bins=50)
| 일자 | 방류량(천톤) | 개문시간 | 폐문시간 | |
|---|---|---|---|---|
| 일자 | 1.000 | 0.000 | 0.000 | 0.000 |
| 방류량(천톤) | 0.000 | 1.000 | 0.874 | 0.000 |
| 개문시간 | 0.000 | 0.874 | 1.000 | 0.954 |
| 폐문시간 | 0.000 | 0.000 | 0.954 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| 일자 | 방류량(천톤) | 개문시간 | 폐문시간 | |
|---|---|---|---|---|
| 0 | 2023-01-02 | 7873 | 15:30 | 17:50 |
| 1 | 2023-01-11 | 16570 | 10:00 | 13:40 |
| 2 | 2023-01-16 | 15862 | 13:30 | 17:00 |
| 3 | 2023-01-25 | 14526 | 10:00 | 13:20 |
| 4 | 2023-01-30 | 9149 | 14:00 | 17:00 |
| 5 | 2023-02-08 | 13033 | 09:30 | 13:00 |
| 6 | 2023-02-16 | 10072 | 15:00 | 18:00 |
| 7 | 2023-02-23 | 10445 | 09:30 | 12:45 |
| 8 | 2023-03-02 | 8852 | 16:00 | 18:35 |
| 9 | 2023-03-09 | 11092 | 09:00 | 11:50 |
| 일자 | 방류량(천톤) | 개문시간 | 폐문시간 | |
|---|---|---|---|---|
| 62 | 2023-08-31 | 15469 | 08:00 | 12:10 |
| 63 | 2023-09-05 | 7468 | 11:00 | 13:40 |
| 64 | 2023-09-08 | 5058 | 12:00 | 14:15 |
| 65 | 2023-09-13 | 14105 | 18:00 | 22:15 |
| 66 | 2023-09-15 | 18869 | 08:00 | 13:00 |
| 67 | 2023-09-20 | 22011 | 10:00 | 17:00 |
| 68 | 2023-09-21 | 23522 | 09:10 | 14:00 |
| 69 | 2023-09-25 | 12461 | 15:00 | 18:00 |
| 70 | 2023-09-27 | 23717 | 16:45 | 21:00 |
| 71 | 2023-10-04 | 15683 | 10:00 | 14:00 |