Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 71 |
| Missing cells (%) | 0.5% |
| Duplicate rows | 2832 |
| Duplicate rows (%) | 20.4% |
| 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 2832 (20.4%) duplicate rows | Duplicates |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:18:59.459070 |
|---|---|
| Analysis finished | 2024-05-12 18:19:01.585716 |
| Duration | 2.13 seconds |
| Missing | Q_Station_NA_29037020_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
NON STATIONARY SEASONAL
| Distinct | 5918 |
|---|---|
| Distinct (%) | 42.9% |
| Missing | 71 |
| Missing (%) | 0.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7211.3961 |
|---|---|
| Minimum | 2092 |
| Maximum | 14909 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 2092 |
|---|---|
| 5-th percentile | 3047.8 |
| Q1 | 5185 |
| median | 6980 |
| Q3 | 9096 |
| 95-th percentile | 12070.6 |
| Maximum | 14909 |
| Range | 12817 |
| Interquartile range (IQR) | 3911 |
Descriptive statistics
| Standard deviation | 2697.2498 |
|---|---|
| Coefficient of variation (CV) | 0.37402602 |
| Kurtosis | -0.47659774 |
| Mean | 7211.3961 |
| Median Absolute Deviation (MAD) | 1953 |
| Skewness | 0.3421782 |
| Sum | 99582169 |
| Variance | 7275156.3 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 5.113459717 × 10-20 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 8 |
|---|---|
| min | 3 days |
| max | 3 weeks and 5 days |
| mean | 1 week, 2 days and 9 hours |
| std | 1 week, 1 day and 15 hours |
| Value | Count | Frequency (%) |
| 6810 | 22 | 0.2% |
| 9431 | 18 | 0.1% |
| 8552 | 18 | 0.1% |
| 6244 | 17 | 0.1% |
| 8536 | 16 | 0.1% |
| 7956 | 16 | 0.1% |
| 8028 | 15 | 0.1% |
| 8325 | 15 | 0.1% |
| 8451 | 14 | 0.1% |
| 13577 | 14 | 0.1% |
| Other values (5908) | 13644 | |
| (Missing) | 71 | 0.5% |
| Value | Count | Frequency (%) |
| 2092 | 1 | |
| 2096 | 1 | |
| 2100 | 1 | |
| 2128 | 1 | |
| 2156 | 1 | |
| 2161 | 1 | |
| 2187 | 1 | |
| 2205 | 1 | |
| 2219 | 1 | |
| 2232 | 1 |
| Value | Count | Frequency (%) |
| 14909 | 1 | < 0.1% |
| 14894 | 1 | < 0.1% |
| 14879 | 1 | < 0.1% |
| 14864 | 2 | |
| 14835 | 1 | < 0.1% |
| 14820 | 4 | |
| 14761 | 1 | < 0.1% |
| 14746 | 1 | < 0.1% |
| 14687 | 1 | < 0.1% |
| 14642 | 1 | < 0.1% |
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 | 6268.0 |
| 1983-01-02 | 6193.0 |
| 1983-01-03 | 6035.0 |
| 1983-01-04 | 5878.0 |
| 1983-01-05 | 5720.0 |
| 1983-01-06 | 5585.0 |
| 1983-01-07 | 5435.0 |
| 1983-01-08 | 5330.0 |
| 1983-01-09 | 5195.0 |
| 1983-01-10 | 5027.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 10371.0 |
| 2020-12-23 | 10342.0 |
| 2020-12-24 | 10281.0 |
| 2020-12-25 | 10209.0 |
| 2020-12-26 | 10137.0 |
| 2020-12-27 | 10060.0 |
| 2020-12-28 | 10020.0 |
| 2020-12-29 | 9951.3 |
| 2020-12-30 | 9871.2 |
| 2020-12-31 | 9802.2 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 2831 | NaN | 71 |
| 1377 | 6810.0 | 22 |
| 1962 | 8552.0 | 18 |
| 2227 | 9431.0 | 18 |
| 1176 | 6244.0 | 17 |
| 1795 | 7956.0 | 16 |
| 1959 | 8536.0 | 16 |
| 1815 | 8028.0 | 15 |
| 1902 | 8325.0 | 15 |
| 881 | 5540.0 | 14 |