Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 159 |
| Missing cells (%) | 1.1% |
| Duplicate rows | 1605 |
| Duplicate rows (%) | 11.6% |
| 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 1605 (11.6%) duplicate rows | Duplicates |
Flow has 159 (1.1%) missing values | Missing |
Reproduction
| Analysis started | 2024-05-12 19:33:46.971140 |
|---|---|
| Analysis finished | 2024-05-12 19:33:49.581610 |
| Duration | 2.61 seconds |
| Missing | Q_Station_NA_23097030_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING
| Distinct | 3688 |
|---|---|
| Distinct (%) | 26.9% |
| Missing | 159 |
| Missing (%) | 1.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.41384739 |
|---|---|
| Minimum | -2959 |
| Maximum | 2342 |
| Zeros | 21 |
| Zeros (%) | 0.2% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -2959 |
|---|---|
| 5-th percentile | -706 |
| Q1 | -201 |
| median | 18.6 |
| Q3 | 224 |
| 95-th percentile | 631 |
| Maximum | 2342 |
| Range | 5301 |
| Interquartile range (IQR) | 425 |
Descriptive statistics
| Standard deviation | 408.49185 |
|---|---|
| Coefficient of variation (CV) | 987.05914 |
| Kurtosis | 2.5364123 |
| Mean | 0.41384739 |
| Median Absolute Deviation (MAD) | 211.4 |
| Skewness | -0.38061353 |
| Sum | 5678.4 |
| Variance | 166865.59 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 15 |
|---|---|
| min | 4 days |
| max | 11 weeks and 1 day |
| mean | 1 week, 4 days and 11 hours |
| std | 2 weeks, 4 days and 18 hours |
| Value | Count | Frequency (%) |
| -6 | 30 | 0.2% |
| 44 | 28 | 0.2% |
| 42 | 27 | 0.2% |
| 195 | 26 | 0.2% |
| -8 | 24 | 0.2% |
| 66 | 24 | 0.2% |
| 75 | 23 | 0.2% |
| 107 | 23 | 0.2% |
| -33 | 23 | 0.2% |
| 81 | 23 | 0.2% |
| Other values (3678) | 13470 | |
| (Missing) | 159 | 1.1% |
| Value | Count | Frequency (%) |
| -2959 | 1 | |
| -2914 | 1 | |
| -2338 | 1 | |
| -2316 | 1 | |
| -2273 | 1 | |
| -2251 | 1 | |
| -2205 | 1 | |
| -2190 | 1 | |
| -2103 | 1 | |
| -2099 | 1 |
| Value | Count | Frequency (%) |
| 2342 | 1 | |
| 2137 | 1 | |
| 1931 | 1 | |
| 1889 | 1 | |
| 1803 | 1 | |
| 1730 | 1 | |
| 1697 | 1 | |
| 1696 | 1 | |
| 1671 | 1 | |
| 1573 | 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 | -186.0 |
| 1983-01-04 | -720.0 |
| 1983-01-05 | 569.0 |
| 1983-01-06 | 872.0 |
| 1983-01-07 | -754.0 |
| 1983-01-08 | -541.0 |
| 1983-01-09 | 195.0 |
| 1983-01-10 | 264.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | -140.9 |
| 2020-12-23 | -136.6 |
| 2020-12-24 | 108.3 |
| 2020-12-25 | 371.2 |
| 2020-12-26 | -555.0 |
| 2020-12-27 | 320.0 |
| 2020-12-28 | 92.1 |
| 2020-12-29 | -372.1 |
| 2020-12-30 | 189.4 |
| 2020-12-31 | 113.0 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1604 | NaN | 159 |
| 812 | -6.0 | 30 |
| 866 | 44.0 | 28 |
| 864 | 42.0 | 27 |
| 1028 | 195.0 | 26 |
| 809 | -8.0 | 24 |
| 889 | 66.0 | 24 |
| 777 | -33.0 | 23 |
| 899 | 75.0 | 23 |
| 905 | 81.0 | 23 |