Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 13 |
| Missing cells (%) | 0.1% |
| Duplicate rows | 2933 |
| Duplicate rows (%) | 21.1% |
| 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 2933 (21.1%) duplicate rows | Duplicates |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:18:26.402553 |
|---|---|
| Analysis finished | 2024-05-12 18:18:28.508787 |
| Duration | 2.11 seconds |
| Missing | Q_Station_NA_25027020_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
NON STATIONARY SEASONAL
| Distinct | 6034 |
|---|---|
| Distinct (%) | 43.5% |
| Missing | 13 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4043.0019 |
|---|---|
| Minimum | 911.9 |
| Maximum | 9681 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 911.9 |
|---|---|
| 5-th percentile | 1912 |
| Q1 | 3010.65 |
| median | 3912 |
| Q3 | 4957.4 |
| 95-th percentile | 6496.7 |
| Maximum | 9681 |
| Range | 8769.1 |
| Interquartile range (IQR) | 1946.75 |
Descriptive statistics
| Standard deviation | 1408.3869 |
|---|---|
| Coefficient of variation (CV) | 0.34835179 |
| Kurtosis | 0.11403357 |
| Mean | 4043.0019 |
| Median Absolute Deviation (MAD) | 972.7 |
| Skewness | 0.45914854 |
| Sum | 56064307 |
| Variance | 1983553.8 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 6.866990579 × 10-23 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 2 |
|---|---|
| min | 3 days |
| max | 5 days |
| mean | 4 days |
| std | 1 day, 9 hours and 56 minutes |
| Value | Count | Frequency (%) |
| 4061 | 15 | 0.1% |
| 3790 | 15 | 0.1% |
| 3002 | 15 | 0.1% |
| 5284 | 14 | 0.1% |
| 4877 | 14 | 0.1% |
| 3242 | 14 | 0.1% |
| 3153 | 14 | 0.1% |
| 4225 | 13 | 0.1% |
| 3091 | 12 | 0.1% |
| 2481 | 12 | 0.1% |
| Other values (6024) | 13729 | |
| (Missing) | 13 | 0.1% |
| Value | Count | Frequency (%) |
| 911.9 | 1 | |
| 945.7 | 1 | |
| 1005 | 1 | |
| 1035 | 2 | |
| 1045.5 | 1 | |
| 1048 | 1 | |
| 1056 | 1 | |
| 1072.4 | 1 | |
| 1073 | 1 | |
| 1079.5 | 1 |
| Value | Count | Frequency (%) |
| 9681 | 1 | |
| 9662 | 1 | |
| 9643 | 1 | |
| 9605 | 2 | |
| 9586 | 1 | |
| 9567 | 2 | |
| 9491 | 1 | |
| 9464 | 1 | |
| 9431 | 2 | |
| 9426 | 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 | 3431.0 |
| 1983-01-02 | 3307.0 |
| 1983-01-03 | 3168.0 |
| 1983-01-04 | 3078.0 |
| 1983-01-05 | 3009.0 |
| 1983-01-06 | 2950.0 |
| 1983-01-07 | 2903.0 |
| 1983-01-08 | 2898.0 |
| 1983-01-09 | 3018.0 |
| 1983-01-10 | 3087.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 5091.9 |
| 2020-12-23 | 4960.1 |
| 2020-12-24 | 4890.4 |
| 2020-12-25 | 4796.2 |
| 2020-12-26 | 4615.2 |
| 2020-12-27 | 4573.1 |
| 2020-12-28 | 4612.6 |
| 2020-12-29 | 4581.0 |
| 2020-12-30 | 4533.0 |
| 2020-12-31 | 4515.2 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 728 | 3002.0 | 15 |
| 1343 | 3790.0 | 15 |
| 1540 | 4061.0 | 15 |
| 852 | 3153.0 | 14 |
| 919 | 3242.0 | 14 |
| 2121 | 4877.0 | 14 |
| 2350 | 5284.0 | 14 |
| 1660 | 4225.0 | 13 |
| 2932 | NaN | 13 |
| 395 | 2481.0 | 12 |