Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 3966 |
| Missing cells (%) | 28.6% |
| Duplicate rows | 1076 |
| Duplicate rows (%) | 7.8% |
| 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 1076 (7.8%) duplicate rows | Duplicates |
Flow has 3966 (28.6%) missing values | Missing |
Reproduction
| Analysis started | 2024-05-12 19:33:37.663328 |
|---|---|
| Analysis finished | 2024-05-12 19:33:39.645805 |
| Duration | 1.98 second |
| Missing | Q_Station_NA_24067020_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING
| Distinct | 6336 |
|---|---|
| Distinct (%) | 63.9% |
| Missing | 3966 |
| Missing (%) | 28.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6560692 |
|---|---|
| Minimum | -1784.2 |
| Maximum | 2084 |
| Zeros | 29 |
| Zeros (%) | 0.2% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -1784.2 |
|---|---|
| 5-th percentile | -276.935 |
| Q1 | -51 |
| median | 4.8 |
| Q3 | 65 |
| 95-th percentile | 254.9545 |
| Maximum | 2084 |
| Range | 3868.2 |
| Interquartile range (IQR) | 116 |
Descriptive statistics
| Standard deviation | 183.13594 |
|---|---|
| Coefficient of variation (CV) | 279.14119 |
| Kurtosis | 11.207918 |
| Mean | 0.6560692 |
| Median Absolute Deviation (MAD) | 58 |
| Skewness | -0.77167211 |
| Sum | 6504.27 |
| Variance | 33538.772 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 48 |
|---|---|
| min | 4 days |
| max | 7 weeks and 2 days |
| mean | 1 week, 3 days and 16 hours |
| std | 1 week, 4 days and 8 hours |
| Value | Count | Frequency (%) |
| -2 | 40 | 0.3% |
| 3 | 30 | 0.2% |
| 0 | 29 | 0.2% |
| 9 | 29 | 0.2% |
| 4 | 29 | 0.2% |
| -3 | 27 | 0.2% |
| -1 | 26 | 0.2% |
| -6 | 26 | 0.2% |
| 28 | 26 | 0.2% |
| 17 | 25 | 0.2% |
| Other values (6326) | 9627 | |
| (Missing) | 3966 |
| Value | Count | Frequency (%) |
| -1784.2 | 1 | |
| -1572.1 | 1 | |
| -1447.9 | 1 | |
| -1364.8 | 1 | |
| -1364 | 1 | |
| -1342 | 1 | |
| -1265 | 1 | |
| -1248 | 1 | |
| -1247.1 | 1 | |
| -1224 | 1 |
| Value | Count | Frequency (%) |
| 2084 | 1 | |
| 1412.8 | 1 | |
| 1137 | 1 | |
| 1111 | 1 | |
| 1010 | 1 | |
| 968.6 | 1 | |
| 967.5 | 1 | |
| 966 | 1 | |
| 932.5 | 1 | |
| 909.2 | 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 | 195.77 |
| 2020-12-23 | -33.99 |
| 2020-12-24 | -26.41 |
| 2020-12-25 | 155.60 |
| 2020-12-26 | -143.33 |
| 2020-12-27 | -123.04 |
| 2020-12-28 | 153.93 |
| 2020-12-29 | 82.83 |
| 2020-12-30 | -177.71 |
| 2020-12-31 | 110.68 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1075 | NaN | 3966 |
| 450 | -2.0 | 40 |
| 509 | 3.0 | 30 |
| 470 | 0.0 | 29 |
| 522 | 4.0 | 29 |
| 576 | 9.0 | 29 |
| 441 | -3.0 | 27 |
| 415 | -6.0 | 26 |
| 460 | -1.0 | 26 |
| 697 | 28.0 | 26 |