Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 110 |
| Missing cells (%) | 0.8% |
| Duplicate rows | 531 |
| Duplicate rows (%) | 3.8% |
| 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 531 (3.8%) duplicate rows | Duplicates |
Flow has 434 (3.1%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-12 19:36:35.997078 |
|---|---|
| Analysis finished | 2024-05-12 19:36:38.769716 |
| Duration | 2.77 seconds |
| Missing | Q_Station_NA_29037020_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
ZEROS
| Distinct | 1790 |
|---|---|
| Distinct (%) | 13.0% |
| Missing | 110 |
| Missing (%) | 0.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.011953522 |
|---|---|
| Minimum | -2283 |
| Maximum | 1914 |
| Zeros | 434 |
| Zeros (%) | 3.1% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -2283 |
|---|---|
| 5-th percentile | -94 |
| Q1 | -30 |
| median | 0 |
| Q3 | 30.45 |
| 95-th percentile | 92.55 |
| Maximum | 1914 |
| Range | 4197 |
| Interquartile range (IQR) | 60.45 |
Descriptive statistics
| Standard deviation | 80.942105 |
|---|---|
| Coefficient of variation (CV) | 6771.4021 |
| Kurtosis | 135.1398 |
| Mean | 0.011953522 |
| Median Absolute Deviation (MAD) | 30 |
| Skewness | -1.0590288 |
| Sum | 164.6 |
| Variance | 6551.6243 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 11 |
|---|---|
| min | 5 days |
| max | 4 weeks and 1 day |
| mean | 1 week, 3 days and 17 hours |
| std | 1 week, 21 hours and 14.05 seconds |
| Value | Count | Frequency (%) |
| 0 | 434 | 3.1% |
| -1 | 174 | 1.3% |
| 8 | 165 | 1.2% |
| -8 | 156 | 1.1% |
| 24 | 152 | 1.1% |
| 1 | 148 | 1.1% |
| 10 | 147 | 1.1% |
| 9 | 138 | 1.0% |
| -9 | 135 | 1.0% |
| -2 | 131 | 0.9% |
| Other values (1780) | 11990 |
| Value | Count | Frequency (%) |
| -2283 | 1 | |
| -1592 | 1 | |
| -1482 | 1 | |
| -1209 | 1 | |
| -1075 | 1 | |
| -1034 | 1 | |
| -975 | 1 | |
| -931 | 1 | |
| -873 | 1 | |
| -849 | 1 |
| Value | Count | Frequency (%) |
| 1914 | 1 | |
| 1639 | 1 | |
| 1549 | 1 | |
| 1164 | 1 | |
| 1081 | 1 | |
| 806 | 1 | |
| 778 | 1 | |
| 768 | 1 | |
| 719 | 1 | |
| 670 | 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 | 84.0 |
| 1983-01-05 | -2.0 |
| 1983-01-06 | 24.0 |
| 1983-01-07 | -38.0 |
| 1983-01-08 | 60.0 |
| 1983-01-09 | -75.0 |
| 1983-01-10 | -3.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | -31.0 |
| 2020-12-23 | 16.0 |
| 2020-12-24 | -45.0 |
| 2020-12-25 | 21.0 |
| 2020-12-26 | 11.0 |
| 2020-12-27 | -5.0 |
| 2020-12-28 | 42.0 |
| 2020-12-29 | -65.7 |
| 2020-12-30 | 17.3 |
| 2020-12-31 | 22.5 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 258 | 0.0 | 434 |
| 255 | -1.0 | 174 |
| 284 | 8.0 | 165 |
| 236 | -8.0 | 156 |
| 325 | 24.0 | 152 |
| 261 | 1.0 | 148 |
| 290 | 10.0 | 147 |
| 286 | 9.0 | 138 |
| 234 | -9.0 | 135 |
| 251 | -2.0 | 131 |