Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 10380 |
| Missing cells | 354 |
| Missing cells (%) | 3.4% |
| Duplicate rows | 1745 |
| Duplicate rows (%) | 16.8% |
| Total size in memory | 162.2 KiB |
| Average record size in memory | 16.0 B |
Variable types
| TimeSeries | 1 |
|---|
Timeseries statistics
| Number of series | 1 |
|---|---|
| Time series length | 10380 |
| Starting point | 1992-08-01 00:00:00 |
| Ending point | 2020-12-31 00:00:00 |
| Period | 1 day |
| Dataset has 1745 (16.8%) duplicate rows | Duplicates |
Flow has 354 (3.4%) missing values | Missing |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:16:43.818571 |
|---|---|
| Analysis finished | 2024-05-12 18:16:45.225502 |
| Duration | 1.41 second |
| Missing | Q_Station_NA_24067020_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING NON STATIONARY SEASONAL
| Distinct | 5409 |
|---|---|
| Distinct (%) | 53.9% |
| Missing | 354 |
| Missing (%) | 3.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 434.35907 |
|---|---|
| Minimum | 26 |
| Maximum | 2625 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 162.2 KiB |
Quantile statistics
| Minimum | 26 |
|---|---|
| 5-th percentile | 120 |
| Q1 | 239 |
| median | 364.355 |
| Q3 | 550 |
| 95-th percentile | 985.95 |
| Maximum | 2625 |
| Range | 2599 |
| Interquartile range (IQR) | 311 |
Descriptive statistics
| Standard deviation | 286.69872 |
|---|---|
| Coefficient of variation (CV) | 0.66005003 |
| Kurtosis | 5.7442832 |
| Mean | 434.35907 |
| Median Absolute Deviation (MAD) | 147.645 |
| Skewness | 1.8536768 |
| Sum | 4354884.1 |
| Variance | 82196.155 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.8285414 × 10-17 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 36 |
|---|---|
| min | 3 days |
| max | 5 weeks and 1 day |
| mean | 1 week, 3 days and 6 hours |
| std | 1 week, 3 days and 17 hours |
| Value | Count | Frequency (%) |
| 382 | 28 | 0.3% |
| 410 | 24 | 0.2% |
| 363 | 24 | 0.2% |
| 369 | 23 | 0.2% |
| 321 | 22 | 0.2% |
| 371 | 22 | 0.2% |
| 299 | 20 | 0.2% |
| 385 | 20 | 0.2% |
| 391 | 20 | 0.2% |
| 308 | 17 | 0.2% |
| Other values (5399) | 9806 | |
| (Missing) | 354 | 3.4% |
| Value | Count | Frequency (%) |
| 26 | 1 | < 0.1% |
| 33 | 1 | < 0.1% |
| 34 | 1 | < 0.1% |
| 37 | 1 | < 0.1% |
| 38 | 1 | < 0.1% |
| 40 | 1 | < 0.1% |
| 40.8 | 2 | |
| 42.4 | 1 | < 0.1% |
| 44.8 | 4 | |
| 45 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 2625 | 1 | |
| 2555 | 2 | |
| 2536 | 1 | |
| 2523 | 1 | |
| 2491 | 1 | |
| 2485 | 1 | |
| 2412 | 1 | |
| 2343 | 1 | |
| 2302 | 1 | |
| 2277 | 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 | |
| 1992-08-01 | 300.8 |
| 1992-08-02 | 450.1 |
| 1992-08-03 | 553.1 |
| 1992-08-04 | 373.7 |
| 1992-08-05 | 327.0 |
| 1992-08-06 | 290.5 |
| 1992-08-07 | 281.3 |
| 1992-08-08 | 265.1 |
| 1992-08-09 | 299.7 |
| 1992-08-10 | 320.9 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 231.03 |
| 2020-12-23 | 239.47 |
| 2020-12-24 | 221.50 |
| 2020-12-25 | 359.13 |
| 2020-12-26 | 353.43 |
| 2020-12-27 | 224.69 |
| 2020-12-28 | 249.88 |
| 2020-12-29 | 357.90 |
| 2020-12-30 | 288.21 |
| 2020-12-31 | 329.20 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1744 | NaN | 354 |
| 941 | 382.0 | 28 |
| 891 | 363.0 | 24 |
| 1009 | 410.0 | 24 |
| 908 | 369.0 | 23 |
| 755 | 321.0 | 22 |
| 913 | 371.0 | 22 |
| 679 | 299.0 | 20 |
| 950 | 385.0 | 20 |
| 964 | 391.0 | 20 |