Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 124 |
| Missing cells (%) | 0.9% |
| Duplicate rows | 2562 |
| Duplicate rows (%) | 18.5% |
| Total size in memory | 216.9 KiB |
| Average record size in memory | 16.0 B |
Variable types
| TimeSeries | 1 |
|---|
Timeseries statistics
| Number of series | 1 |
|---|---|
| Time series length | 13880 |
| Starting point | 1983-01-01 00:00:00 |
| Ending point | 2020-12-31 00:00:00 |
| Period | 1 day |
| Dataset has 2562 (18.5%) duplicate rows | Duplicates |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:16:51.472042 |
|---|---|
| Analysis finished | 2024-05-12 18:16:53.450341 |
| Duration | 1.98 second |
| Missing | Q_Station_NA_23097030_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
NON STATIONARY SEASONAL
| Distinct | 4940 |
|---|---|
| Distinct (%) | 35.9% |
| Missing | 124 |
| Missing (%) | 0.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2289.2534 |
|---|---|
| Minimum | 531.5 |
| Maximum | 8317 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 531.5 |
|---|---|
| 5-th percentile | 1101 |
| Q1 | 1548 |
| median | 2074 |
| Q3 | 2814 |
| 95-th percentile | 4167.25 |
| Maximum | 8317 |
| Range | 7785.5 |
| Interquartile range (IQR) | 1266 |
Descriptive statistics
| Standard deviation | 1002.6836 |
|---|---|
| Coefficient of variation (CV) | 0.43799589 |
| Kurtosis | 2.5205007 |
| Mean | 2289.2534 |
| Median Absolute Deviation (MAD) | 597 |
| Skewness | 1.3037539 |
| Sum | 31490970 |
| Variance | 1005374.4 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.917652532 × 10-24 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 9 |
|---|---|
| min | 3 days |
| max | 10 weeks and 6 days |
| mean | 1 week, 6 days and 21 hours |
| std | 3 weeks, 2 days and 15 hours |
| Value | Count | Frequency (%) |
| 1348 | 16 | 0.1% |
| 2708 | 15 | 0.1% |
| 1564 | 14 | 0.1% |
| 1623 | 14 | 0.1% |
| 1670 | 14 | 0.1% |
| 1542 | 14 | 0.1% |
| 1963 | 14 | 0.1% |
| 1668 | 13 | 0.1% |
| 1559 | 13 | 0.1% |
| 1578 | 13 | 0.1% |
| Other values (4930) | 13616 | |
| (Missing) | 124 | 0.9% |
| Value | Count | Frequency (%) |
| 531.5 | 1 | |
| 544.5 | 1 | |
| 570.6 | 1 | |
| 576.9 | 1 | |
| 588.5 | 1 | |
| 595.3 | 1 | |
| 608.7 | 1 | |
| 611.1 | 1 | |
| 625.7 | 1 | |
| 628.7 | 1 |
| Value | Count | Frequency (%) |
| 8317 | 1 | |
| 8287 | 1 | |
| 8139 | 1 | |
| 8080 | 2 | |
| 7855 | 1 | |
| 7759 | 1 | |
| 7598 | 1 | |
| 7589 | 1 | |
| 7474 | 1 | |
| 7419 | 1 |
ACF and PACF
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.
| Flow | |
|---|---|
| Date | |
| 1983-01-01 | 1894.0 |
| 1983-01-02 | 2216.0 |
| 1983-01-03 | 2352.0 |
| 1983-01-04 | 1768.0 |
| 1983-01-05 | 1753.0 |
| 1983-01-06 | 2610.0 |
| 1983-01-07 | 2713.0 |
| 1983-01-08 | 2275.0 |
| 1983-01-09 | 2032.0 |
| 1983-01-10 | 2053.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 2410.4 |
| 2020-12-23 | 2237.9 |
| 2020-12-24 | 2173.7 |
| 2020-12-25 | 2480.7 |
| 2020-12-26 | 2232.7 |
| 2020-12-27 | 2304.7 |
| 2020-12-28 | 2468.8 |
| 2020-12-29 | 2260.8 |
| 2020-12-30 | 2242.2 |
| 2020-12-31 | 2336.6 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 2561 | NaN | 124 |
| 363 | 1348.0 | 16 |
| 1681 | 2708.0 | 15 |
| 554 | 1542.0 | 14 |
| 577 | 1564.0 | 14 |
| 636 | 1623.0 | 14 |
| 684 | 1670.0 | 14 |
| 979 | 1963.0 | 14 |
| 197 | 1180.0 | 13 |
| 294 | 1280.0 | 13 |