Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 32 |
| Missing cells (%) | 0.2% |
| Duplicate rows | 592 |
| Duplicate rows (%) | 4.3% |
| 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 592 (4.3%) duplicate rows | Duplicates |
Flow has 236 (1.7%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-12 19:35:51.255870 |
|---|---|
| Analysis finished | 2024-05-12 19:35:53.729126 |
| Duration | 2.47 seconds |
| Missing | Q_Station_NA_25027020_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
ZEROS
| Distinct | 2118 |
|---|---|
| Distinct (%) | 15.3% |
| Missing | 32 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.012420566 |
|---|---|
| Minimum | -524 |
| Maximum | 758 |
| Zeros | 236 |
| Zeros (%) | 1.7% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -524 |
|---|---|
| 5-th percentile | -117 |
| Q1 | -36 |
| median | 0 |
| Q3 | 36 |
| 95-th percentile | 120.065 |
| Maximum | 758 |
| Range | 1282 |
| Interquartile range (IQR) | 72 |
Descriptive statistics
| Standard deviation | 74.795295 |
|---|---|
| Coefficient of variation (CV) | -6021.891 |
| Kurtosis | 4.7472385 |
| Mean | -0.012420566 |
| Median Absolute Deviation (MAD) | 36 |
| Skewness | 0.030305093 |
| Sum | -172 |
| Variance | 5594.3362 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 7 |
|---|---|
| min | 4 days |
| max | 1 week and 4 days |
| mean | 5 days, 6 hours and 51 minutes |
| std | 2 days, 15 hours and 3 minutes |
| Value | Count | Frequency (%) |
| 0 | 236 | 1.7% |
| -5 | 140 | 1.0% |
| -9 | 137 | 1.0% |
| 5 | 136 | 1.0% |
| 9 | 128 | 0.9% |
| 10 | 124 | 0.9% |
| -18 | 117 | 0.8% |
| -4 | 116 | 0.8% |
| -10 | 114 | 0.8% |
| 13 | 111 | 0.8% |
| Other values (2108) | 12489 |
| Value | Count | Frequency (%) |
| -524 | 1 | |
| -484 | 1 | |
| -444 | 1 | |
| -438 | 1 | |
| -430 | 1 | |
| -426 | 1 | |
| -425 | 1 | |
| -409 | 1 | |
| -408 | 1 | |
| -400 | 1 |
| Value | Count | Frequency (%) |
| 758 | 1 | |
| 561 | 1 | |
| 513 | 1 | |
| 485 | 1 | |
| 467 | 1 | |
| 463 | 1 | |
| 419 | 1 | |
| 402 | 1 | |
| 394 | 1 | |
| 383 | 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 | NaN |
| 1983-01-02 | NaN |
| 1983-01-03 | -15.0 |
| 1983-01-04 | 49.0 |
| 1983-01-05 | 21.0 |
| 1983-01-06 | 10.0 |
| 1983-01-07 | 12.0 |
| 1983-01-08 | 42.0 |
| 1983-01-09 | 125.0 |
| 1983-01-10 | -51.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 68.6 |
| 2020-12-23 | -53.2 |
| 2020-12-24 | 62.1 |
| 2020-12-25 | -24.5 |
| 2020-12-26 | -86.8 |
| 2020-12-27 | 138.9 |
| 2020-12-28 | 81.6 |
| 2020-12-29 | -71.1 |
| 2020-12-30 | -16.4 |
| 2020-12-31 | 30.2 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 304 | 0.0 | 236 |
| 289 | -5.0 | 140 |
| 276 | -9.0 | 137 |
| 312 | 5.0 | 136 |
| 320 | 9.0 | 128 |
| 323 | 10.0 | 124 |
| 247 | -18.0 | 117 |
| 291 | -4.0 | 116 |
| 273 | -10.0 | 114 |
| 307 | 1.0 | 111 |