Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 141 |
| Missing cells (%) | 1.0% |
| Duplicate rows | 615 |
| Duplicate rows (%) | 4.4% |
| 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 615 (4.4%) duplicate rows | Duplicates |
Flow has 141 (1.0%) missing values | Missing |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:16:01.837370 |
|---|---|
| Analysis finished | 2024-05-12 18:16:04.226394 |
| Duration | 2.39 seconds |
| Missing | Q_Station_NA_22057010_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING NON STATIONARY SEASONAL
| Distinct | 1779 |
|---|---|
| Distinct (%) | 12.9% |
| Missing | 141 |
| Missing (%) | 1.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 204.78996 |
|---|---|
| Minimum | 0 |
| Maximum | 541.83 |
| Zeros | 9 |
| Zeros (%) | 0.1% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 90 |
| Q1 | 143 |
| median | 210 |
| Q3 | 257 |
| 95-th percentile | 325 |
| Maximum | 541.83 |
| Range | 541.83 |
| Interquartile range (IQR) | 114 |
Descriptive statistics
| Standard deviation | 75.487234 |
|---|---|
| Coefficient of variation (CV) | 0.36860807 |
| Kurtosis | -0.28786938 |
| Mean | 204.78996 |
| Median Absolute Deviation (MAD) | 56 |
| Skewness | 0.14505419 |
| Sum | 2813609.3 |
| Variance | 5698.3225 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.386949493 × 10-7 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 11 |
|---|---|
| min | 3 days |
| max | 2 weeks and 1 day |
| mean | 5 days, 8 hours and 43 minutes |
| std | 4 days, 4 hours and 16 minutes |
| Value | Count | Frequency (%) |
| 224 | 82 | 0.6% |
| 250 | 76 | 0.5% |
| 245 | 75 | 0.5% |
| 260 | 73 | 0.5% |
| 236 | 73 | 0.5% |
| 237 | 71 | 0.5% |
| 248 | 70 | 0.5% |
| 225 | 70 | 0.5% |
| 252 | 69 | 0.5% |
| 267 | 69 | 0.5% |
| Other values (1769) | 13011 | |
| (Missing) | 141 | 1.0% |
| Value | Count | Frequency (%) |
| 0 | 9 | |
| 12 | 1 | < 0.1% |
| 14 | 3 | < 0.1% |
| 15 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 19 | 2 | < 0.1% |
| 20 | 7 | |
| 22 | 6 | |
| 25 | 4 |
| Value | Count | Frequency (%) |
| 541.83 | 1 | |
| 532 | 1 | |
| 510 | 1 | |
| 498 | 1 | |
| 496.04 | 1 | |
| 490 | 1 | |
| 480.23 | 1 | |
| 470 | 1 | |
| 467.96 | 1 | |
| 467 | 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 | 111.0 |
| 1983-01-02 | 121.0 |
| 1983-01-03 | 124.0 |
| 1983-01-04 | 131.0 |
| 1983-01-05 | 154.0 |
| 1983-01-06 | 139.0 |
| 1983-01-07 | 118.0 |
| 1983-01-08 | 115.0 |
| 1983-01-09 | 106.0 |
| 1983-01-10 | 100.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | NaN |
| 2020-12-23 | NaN |
| 2020-12-24 | NaN |
| 2020-12-25 | NaN |
| 2020-12-26 | NaN |
| 2020-12-27 | NaN |
| 2020-12-28 | NaN |
| 2020-12-29 | NaN |
| 2020-12-30 | NaN |
| 2020-12-31 | NaN |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 614 | NaN | 141 |
| 312 | 224.0 | 82 |
| 402 | 250.0 | 76 |
| 386 | 245.0 | 75 |
| 356 | 236.0 | 73 |
| 428 | 260.0 | 73 |
| 359 | 237.0 | 71 |
| 319 | 225.0 | 70 |
| 397 | 248.0 | 70 |
| 406 | 252.0 | 69 |