Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 2769 |
| Missing cells (%) | 19.9% |
| Duplicate rows | 2579 |
| Duplicate rows (%) | 18.6% |
| 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 2579 (18.6%) duplicate rows | Duplicates |
Flow has 2769 (19.9%) missing values | Missing |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:17:16.018604 |
|---|---|
| Analysis finished | 2024-05-12 18:17:17.723837 |
| Duration | 1.71 second |
| Missing | Q_Station_NA_25027410_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING NON STATIONARY SEASONAL
| Distinct | 5291 |
|---|---|
| Distinct (%) | 47.6% |
| Missing | 2769 |
| Missing (%) | 19.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4332.5033 |
|---|---|
| Minimum | 1235 |
| Maximum | 9092 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 1235 |
|---|---|
| 5-th percentile | 1986.1 |
| Q1 | 3026 |
| median | 4193 |
| Q3 | 5483 |
| 95-th percentile | 7280.5 |
| Maximum | 9092 |
| Range | 7857 |
| Interquartile range (IQR) | 2457 |
Descriptive statistics
| Standard deviation | 1616.5721 |
|---|---|
| Coefficient of variation (CV) | 0.37312658 |
| Kurtosis | -0.65577078 |
| Mean | 4332.5033 |
| Median Absolute Deviation (MAD) | 1227 |
| Skewness | 0.36493801 |
| Sum | 48138444 |
| Variance | 2613305.5 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.709848253 × 10-19 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 75 |
|---|---|
| min | 3 days |
| max | 1 year, 4 weeks and 5 days |
| mean | 5 weeks, 2 days and 7 hours |
| std | 8 weeks, 1 day and 19 hours |
| Value | Count | Frequency (%) |
| 3518 | 13 | 0.1% |
| 5215 | 12 | 0.1% |
| 3985 | 11 | 0.1% |
| 3080 | 11 | 0.1% |
| 3643 | 10 | 0.1% |
| 4311 | 10 | 0.1% |
| 2632 | 10 | 0.1% |
| 4584 | 10 | 0.1% |
| 5305 | 10 | 0.1% |
| 5892 | 10 | 0.1% |
| Other values (5281) | 11004 | |
| (Missing) | 2769 | 19.9% |
| Value | Count | Frequency (%) |
| 1235 | 2 | |
| 1253 | 1 | |
| 1270 | 1 | |
| 1283 | 1 | |
| 1287 | 1 | |
| 1290 | 1 | |
| 1292 | 1 | |
| 1293 | 1 | |
| 1298 | 1 | |
| 1301 | 1 |
| Value | Count | Frequency (%) |
| 9092 | 1 | |
| 8994 | 1 | |
| 8978 | 1 | |
| 8970 | 1 | |
| 8913 | 1 | |
| 8873 | 1 | |
| 8799 | 1 | |
| 8791 | 1 | |
| 8736 | 1 | |
| 8728 | 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 | 3250.0 |
| 1983-01-02 | 3002.0 |
| 1983-01-03 | 2830.0 |
| 1983-01-04 | 2770.0 |
| 1983-01-05 | 2922.0 |
| 1983-01-06 | 2830.0 |
| 1983-01-07 | 2530.0 |
| 1983-01-08 | 2623.0 |
| 1983-01-09 | 3041.0 |
| 1983-01-10 | 3098.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | NaN |
| 2020-12-23 | NaN |
| 2020-12-24 | NaN |
| 2020-12-25 | NaN |
| 2020-12-26 | NaN |
| 2020-12-27 | NaN |
| 2020-12-28 | NaN |
| 2020-12-29 | NaN |
| 2020-12-30 | NaN |
| 2020-12-31 | NaN |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 2578 | NaN | 2769 |
| 936 | 3518.0 | 13 |
| 1804 | 5215.0 | 12 |
| 683 | 3080.0 | 11 |
| 1185 | 3985.0 | 11 |
| 441 | 2632.0 | 10 |
| 1005 | 3643.0 | 10 |
| 1361 | 4311.0 | 10 |
| 1504 | 4584.0 | 10 |
| 1756 | 5105.0 | 10 |