Dataset statistics
| Number of variables | 1 |
|---|---|
| Number of observations | 13880 |
| Missing cells | 32 |
| Missing cells (%) | 0.2% |
| Duplicate rows | 1943 |
| Duplicate rows (%) | 14.0% |
| 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 1943 (14.0%) duplicate rows | Duplicates |
Flow is non stationary | Non stationary |
Flow is seasonal | Seasonal |
Reproduction
| Analysis started | 2024-05-12 18:16:15.302990 |
|---|---|
| Analysis finished | 2024-05-12 18:16:18.079975 |
| Duration | 2.78 seconds |
| Missing | Q_Station_NA_21237010_ok_Missing.csv |
| Download configuration | config.json |
Flow
Numeric time series
NON STATIONARY SEASONAL
| Distinct | 5066 |
|---|---|
| Distinct (%) | 36.6% |
| Missing | 32 |
| Missing (%) | 0.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1133.2592 |
|---|---|
| Minimum | 92.689 |
| Maximum | 5286 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 216.9 KiB |
Quantile statistics
| Minimum | 92.689 |
|---|---|
| 5-th percentile | 483 |
| Q1 | 756.075 |
| median | 1044 |
| Q3 | 1386 |
| 95-th percentile | 2156.3 |
| Maximum | 5286 |
| Range | 5193.311 |
| Interquartile range (IQR) | 629.925 |
Descriptive statistics
| Standard deviation | 533.30666 |
|---|---|
| Coefficient of variation (CV) | 0.47059547 |
| Kurtosis | 3.3023431 |
| Mean | 1133.2592 |
| Median Absolute Deviation (MAD) | 309 |
| Skewness | 1.4005897 |
| Sum | 15693374 |
| Variance | 284415.99 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 3.226973266 × 10-25 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 9 |
|---|---|
| min | 3 days |
| max | 1 week |
| mean | 3 days, 21 hours and 20 minutes |
| std | 1 day, 10 hours and 52 minutes |
| Value | Count | Frequency (%) |
| 1115 | 24 | 0.2% |
| 1175 | 19 | 0.1% |
| 1145 | 18 | 0.1% |
| 1059 | 18 | 0.1% |
| 1126 | 17 | 0.1% |
| 1308 | 17 | 0.1% |
| 817 | 17 | 0.1% |
| 880 | 17 | 0.1% |
| 1083 | 17 | 0.1% |
| 1128 | 17 | 0.1% |
| Other values (5056) | 13667 | |
| (Missing) | 32 | 0.2% |
| Value | Count | Frequency (%) |
| 92.689 | 1 | |
| 94.863 | 1 | |
| 98.261 | 1 | |
| 99.398 | 1 | |
| 117.27 | 1 | |
| 117.71 | 1 | |
| 118.83 | 1 | |
| 122.2 | 1 | |
| 123.99 | 1 | |
| 127.13 | 1 |
| Value | Count | Frequency (%) |
| 5286 | 1 | |
| 4701 | 1 | |
| 4403 | 1 | |
| 4351 | 1 | |
| 4276 | 1 | |
| 4140 | 1 | |
| 4121 | 1 | |
| 4073 | 1 | |
| 4071 | 1 | |
| 4054 | 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 | 1198.0 |
| 1983-01-02 | 948.0 |
| 1983-01-03 | 864.0 |
| 1983-01-04 | 1360.0 |
| 1983-01-05 | 1654.0 |
| 1983-01-06 | 1599.0 |
| 1983-01-07 | 1361.0 |
| 1983-01-08 | 1414.0 |
| 1983-01-09 | 1115.0 |
| 1983-01-10 | 941.0 |
| Flow | |
|---|---|
| Date | |
| 2020-12-22 | 1166.6 |
| 2020-12-23 | 1127.6 |
| 2020-12-24 | 1037.2 |
| 2020-12-25 | 1136.0 |
| 2020-12-26 | 1115.3 |
| 2020-12-27 | 932.8 |
| 2020-12-28 | 1061.3 |
| 2020-12-29 | 1225.7 |
| 2020-12-30 | 1164.6 |
| 2020-12-31 | 1039.3 |
Most frequently occurring
| Flow | # duplicates | |
|---|---|---|
| 1942 | NaN | 32 |
| 964 | 1115.0 | 24 |
| 1035 | 1175.0 | 19 |
| 902 | 1059.0 | 18 |
| 1000 | 1145.0 | 18 |
| 570 | 817.0 | 17 |
| 659 | 880.0 | 17 |
| 681 | 898.0 | 17 |
| 836 | 1002.0 | 17 |
| 926 | 1083.0 | 17 |