Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 426 |
| Missing cells (%) | 3.1% |
| Duplicate rows | 927 |
| Duplicate rows (%) | 6.7% |
| 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 927 (6.7%) duplicate rows | Duplicates |
Flow has 426 (3.1%) missing values | Missing |
Reproduction
| Analysis started | 2024-05-12 19:34:27.110346 |
|---|---|
| Analysis finished | 2024-05-12 19:34:29.751566 |
| Duration | 2.64 seconds |
| Missing | Q_Station_NA_27037010_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
MISSING 
| Distinct | 5603 |
|---|---|
| Distinct (%) | 41.6% |
| Missing | 426 |
| Missing (%) | 3.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.046881968 |
|---|---|
| Minimum | -2373 |
| Maximum | 2485 |
| Zeros | 70 |
| Zeros (%) | 0.5% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | -2373 |
|---|---|
| 5-th percentile | -324.105 |
| Q1 | -89 |
| median | -0.6 |
| Q3 | 89.225 |
| 95-th percentile | 323.48 |
| Maximum | 2485 |
| Range | 4858 |
| Interquartile range (IQR) | 178.225 |
Descriptive statistics
| Standard deviation | 224.18552 |
|---|---|
| Coefficient of variation (CV) | 4781.9135 |
| Kurtosis | 11.368365 |
| Mean | 0.046881968 |
| Median Absolute Deviation (MAD) | 89.4 |
| Skewness | 0.13256486 |
| Sum | 630.75 |
| Variance | 50259.145 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 35 |
|---|---|
| min | 6 days |
| max | 7 weeks and 3 days |
| mean | 1 week, 6 days and 1 hour |
| std | 1 week, 3 days and 17 hours |
| Value | Count | Frequency (%) |
| 0 | 70 | 0.5% |
| 1 | 50 | 0.4% |
| -25 | 49 | 0.4% |
| -7 | 48 | 0.3% |
| -4 | 48 | 0.3% |
| -5 | 47 | 0.3% |
| -2 | 46 | 0.3% |
| 5 | 45 | 0.3% |
| 10 | 44 | 0.3% |
| -15 | 44 | 0.3% |
| Other values (5593) | 12963 | |
| (Missing) | 426 | 3.1% |
| Value | Count | Frequency (%) |
| -2373 | 1 | |
| -1994 | 1 | |
| -1709 | 1 | |
| -1615 | 1 | |
| -1580 | 1 | |
| -1539 | 1 | |
| -1514 | 1 | |
| -1448.6 | 1 | |
| -1443.9 | 1 | |
| -1439 | 1 |
| Value | Count | Frequency (%) |
| 2485 | 1 | |
| 2138 | 1 | |
| 2069.1 | 1 | |
| 2006 | 1 | |
| 1912 | 1 | |
| 1670 | 1 | |
| 1668 | 1 | |
| 1566.9 | 1 | |
| 1482 | 1 | |
| 1453.9 | 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 | 111.0 |
| 1983-01-06 | -11.0 |
| 1983-01-07 | 4.0 |
| 1983-01-08 | -91.0 |
| 1983-01-09 | 197.0 |
| 1983-01-10 | -372.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 118.80 |
| 2020-12-23 | -132.92 |
| 2020-12-24 | 136.34 |
| 2020-12-25 | -125.03 |
| 2020-12-26 | 2.41 |
| 2020-12-27 | -31.99 |
| 2020-12-28 | 65.64 |
| 2020-12-29 | -33.31 |
| 2020-12-30 | 10.23 |
| 2020-12-31 | -71.74 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 926 | NaN | 426 |
| 450 | 0.0 | 70 |
| 451 | 1.0 | 50 |
| 416 | -25.0 | 49 |
| 442 | -7.0 | 48 |
| 445 | -4.0 | 48 |
| 444 | -5.0 | 47 |
| 448 | -2.0 | 46 |
| 456 | 5.0 | 45 |
| 430 | -15.0 | 44 |