Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 2353 |
| Missing cells (%) | 17.0% |
| Duplicate rows | 1503 |
| Duplicate rows (%) | 10.8% |
| 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 1503 (10.8%) duplicate rows | Duplicates |
Flow has 2353 (17.0%) missing values | Missing |
Flow has 145 (1.0%) zeros | Zeros |
Reproduction
| Analysis started | 2024-05-12 19:36:01.130077 |
|---|---|
| Analysis finished | 2024-05-12 19:36:03.452885 |
| Duration | 2.32 seconds |
| Missing | Q_Station_NA_25017010_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING ZEROS
| Distinct | 9088 |
|---|---|
| Distinct (%) | 78.8% |
| Missing | 2353 |
| Missing (%) | 17.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.3485025 |
|---|---|
| Minimum | -1288.3 |
| Maximum | 950.8 |
| Zeros | 145 |
| Zeros (%) | 1.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -1288.3 |
|---|---|
| 5-th percentile | -228.2 |
| Q1 | -26.6 |
| median | 1.9 |
| Q3 | 46.45 |
| 95-th percentile | 197.57 |
| Maximum | 950.8 |
| Range | 2239.1 |
| Interquartile range (IQR) | 73.05 |
Descriptive statistics
| Standard deviation | 135.91002 |
|---|---|
| Coefficient of variation (CV) | 100.78589 |
| Kurtosis | 8.3526547 |
| Mean | 1.3485025 |
| Median Absolute Deviation (MAD) | 38.4 |
| Skewness | -0.88956971 |
| Sum | 15544.188 |
| Variance | 18471.534 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.00143545 × 10-28 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 76 |
|---|---|
| min | 4 days |
| max | 2 years and 6 days |
| mean | 4 weeks, 1 day and 3 hours |
| std | 14 weeks, 3 hours and 12 minutes |
| Value | Count | Frequency (%) |
| 0 | 145 | 1.0% |
| -0.5 | 13 | 0.1% |
| -0.01 | 12 | 0.1% |
| 1.5 | 12 | 0.1% |
| 0.01 | 10 | 0.1% |
| 0.7 | 10 | 0.1% |
| 0.5 | 10 | 0.1% |
| 0.4 | 10 | 0.1% |
| 1 | 10 | 0.1% |
| 0.8 | 9 | 0.1% |
| Other values (9078) | 11286 | |
| (Missing) | 2353 | 17.0% |
| Value | Count | Frequency (%) |
| -1288.3 | 1 | |
| -1122.7 | 1 | |
| -1054.6 | 1 | |
| -1004.7 | 1 | |
| -983.9 | 1 | |
| -934.9 | 1 | |
| -908.7 | 1 | |
| -887.1 | 1 | |
| -873.3 | 1 | |
| -861.4 | 1 |
| Value | Count | Frequency (%) |
| 950.8 | 1 | |
| 767.5 | 1 | |
| 761.8 | 1 | |
| 744.3 | 1 | |
| 737.4 | 1 | |
| 719.8 | 1 | |
| 718.1 | 1 | |
| 714.6 | 1 | |
| 682.2 | 1 | |
| 667.2 | 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 | 4.400 |
| 2020-12-23 | -5.600 |
| 2020-12-24 | 1.788 |
| 2020-12-25 | 4.562 |
| 2020-12-26 | 0.062 |
| 2020-12-27 | 8.738 |
| 2020-12-28 | 7.025 |
| 2020-12-29 | -25.075 |
| 2020-12-30 | 0.488 |
| 2020-12-31 | 1.899 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1502 | NaN | 2353 |
| 565 | 0.00 | 145 |
| 519 | -0.50 | 13 |
| 562 | -0.01 | 12 |
| 679 | 1.50 | 12 |
| 571 | 0.01 | 10 |
| 604 | 0.40 | 10 |
| 617 | 0.50 | 10 |
| 633 | 0.70 | 10 |
| 652 | 1.00 | 10 |