Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 2927 |
| Missing cells (%) | 21.1% |
| Duplicate rows | 1645 |
| Duplicate rows (%) | 11.9% |
| 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 1645 (11.9%) duplicate rows | Duplicates |
Flow has 2927 (21.1%) missing values | Missing |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:16:36.723106 |
|---|---|
| Analysis finished | 2024-05-12 18:16:38.695446 |
| Duration | 1.97 second |
| Missing | Q_Station_NA_24037360_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING NON STATIONARY SEASONAL
| Distinct | 4509 |
|---|---|
| Distinct (%) | 41.2% |
| Missing | 2927 |
| Missing (%) | 21.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 123.89839 |
|---|---|
| Minimum | 10 |
| Maximum | 1099 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 23 |
| Q1 | 63.6 |
| median | 104 |
| Q3 | 160.1 |
| 95-th percentile | 288.38 |
| Maximum | 1099 |
| Range | 1089 |
| Interquartile range (IQR) | 96.5 |
Descriptive statistics
| Standard deviation | 91.552196 |
|---|---|
| Coefficient of variation (CV) | 0.73892966 |
| Kurtosis | 8.8627273 |
| Mean | 123.89839 |
| Median Absolute Deviation (MAD) | 46.95 |
| Skewness | 2.1991805 |
| Sum | 1357059.1 |
| Variance | 8381.8046 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 3.151945966 × 10-18 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 42 |
|---|---|
| min | 3 days |
| max | 1 year and 3 days |
| mean | 9 weeks, 3 days and 10 hours |
| std | 15 weeks, 3 days and 3 hours |
| Value | Count | Frequency (%) |
| 36.5 | 97 | 0.7% |
| 53 | 45 | 0.3% |
| 82.6 | 33 | 0.2% |
| 118.5 | 31 | 0.2% |
| 23 | 30 | 0.2% |
| 80.5 | 27 | 0.2% |
| 125.5 | 27 | 0.2% |
| 121 | 27 | 0.2% |
| 140.3 | 26 | 0.2% |
| 179 | 24 | 0.2% |
| Other values (4499) | 10586 | |
| (Missing) | 2927 | 21.1% |
| Value | Count | Frequency (%) |
| 10 | 1 | < 0.1% |
| 10.6 | 1 | < 0.1% |
| 10.9 | 1 | < 0.1% |
| 11 | 1 | < 0.1% |
| 11.1 | 3 | |
| 11.2 | 3 | |
| 11.4 | 3 | |
| 11.6 | 2 | |
| 11.7 | 3 | |
| 11.8 | 3 |
| Value | Count | Frequency (%) |
| 1099 | 1 | |
| 946.7 | 1 | |
| 939 | 1 | |
| 905.2 | 1 | |
| 830 | 1 | |
| 771.2 | 1 | |
| 757.9 | 1 | |
| 755.3 | 1 | |
| 731.3 | 1 | |
| 729 | 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 | 64.564 |
| 2020-12-23 | 62.913 |
| 2020-12-24 | 60.122 |
| 2020-12-25 | 62.410 |
| 2020-12-26 | 66.464 |
| 2020-12-27 | 62.341 |
| 2020-12-28 | 64.379 |
| 2020-12-29 | 61.160 |
| 2020-12-30 | 71.746 |
| 2020-12-31 | 86.033 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1644 | NaN | 2927 |
| 191 | 36.5 | 97 |
| 336 | 53.0 | 45 |
| 582 | 82.6 | 33 |
| 904 | 118.5 | 31 |
| 85 | 23.0 | 30 |
| 563 | 80.5 | 27 |
| 919 | 121.0 | 27 |
| 953 | 125.5 | 27 |
| 1049 | 140.3 | 26 |