Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 3058 |
| Missing cells (%) | 22.0% |
| Duplicate rows | 1482 |
| Duplicate rows (%) | 10.7% |
| 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 1482 (10.7%) duplicate rows | Duplicates |
Flow has 3058 (22.0%) missing values | Missing |
Flow has 156 (1.1%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-12 19:33:26.183579 |
|---|---|
| Analysis finished | 2024-05-12 19:33:27.746056 |
| Duration | 1.56 second |
| Missing | Q_Station_NA_24037360_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING ZEROS
| Distinct | 7338 |
|---|---|
| Distinct (%) | 67.8% |
| Missing | 3058 |
| Missing (%) | 22.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0023034559 |
|---|---|
| Minimum | -1001.4 |
| Maximum | 665.5 |
| Zeros | 156 |
| Zeros (%) | 1.1% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -1001.4 |
|---|---|
| 5-th percentile | -96.0971 |
| Q1 | -10.27675 |
| median | 1 |
| Q3 | 17.1 |
| 95-th percentile | 87.599 |
| Maximum | 665.5 |
| Range | 1666.9 |
| Interquartile range (IQR) | 27.37675 |
Descriptive statistics
| Standard deviation | 67.614911 |
|---|---|
| Coefficient of variation (CV) | 29353.681 |
| Kurtosis | 25.974247 |
| Mean | 0.0023034559 |
| Median Absolute Deviation (MAD) | 13.8 |
| Skewness | -1.6519482 |
| Sum | 24.928 |
| Variance | 4571.7763 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.325220812 × 10-27 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 56 |
|---|---|
| min | 4 days |
| max | 1 year and 5 days |
| mean | 7 weeks, 3 days and 21 hours |
| std | 14 weeks, 3 hours and 57 minutes |
| Value | Count | Frequency (%) |
| 0 | 156 | 1.1% |
| 2.5 | 21 | 0.2% |
| 3 | 20 | 0.1% |
| -1 | 20 | 0.1% |
| -2 | 19 | 0.1% |
| 1.5 | 19 | 0.1% |
| 0.5 | 18 | 0.1% |
| -1.5 | 18 | 0.1% |
| 1 | 15 | 0.1% |
| 0.9 | 15 | 0.1% |
| Other values (7328) | 10501 | |
| (Missing) | 3058 | 22.0% |
| Value | Count | Frequency (%) |
| -1001.4 | 1 | |
| -916.2 | 1 | |
| -791.9 | 1 | |
| -775.2 | 1 | |
| -703.2 | 1 | |
| -681.3 | 1 | |
| -677.6 | 1 | |
| -626.9 | 1 | |
| -604.5 | 1 | |
| -492.3 | 1 |
| Value | Count | Frequency (%) |
| 665.5 | 1 | |
| 658.5 | 1 | |
| 600.6 | 1 | |
| 548.1 | 1 | |
| 544.9 | 1 | |
| 519.5 | 1 | |
| 457.5 | 1 | |
| 409.2 | 1 | |
| 393 | 1 | |
| 385.9 | 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 | NaN |
| 1983-01-04 | NaN |
| 1983-01-05 | NaN |
| 1983-01-06 | NaN |
| 1983-01-07 | NaN |
| 1983-01-08 | NaN |
| 1983-01-09 | NaN |
| 1983-01-10 | NaN |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | -3.290 |
| 2020-12-23 | 0.338 |
| 2020-12-24 | -1.140 |
| 2020-12-25 | 5.079 |
| 2020-12-26 | 1.766 |
| 2020-12-27 | -8.177 |
| 2020-12-28 | 6.161 |
| 2020-12-29 | -5.257 |
| 2020-12-30 | 13.805 |
| 2020-12-31 | 3.701 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1481 | NaN | 3058 |
| 629 | 0.0 | 156 |
| 778 | 2.5 | 21 |
| 560 | -1.0 | 20 |
| 806 | 3.0 | 20 |
| 515 | -2.0 | 19 |
| 732 | 1.5 | 19 |
| 536 | -1.5 | 18 |
| 669 | 0.5 | 18 |
| 564 | -0.9 | 15 |