Report

Dataset statistics

Number of variables	1
Number of observations	13880
Missing cells	2238
Missing cells (%)	16.1%
Duplicate rows	2240
Duplicate rows (%)	16.1%
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

Original
Scaled

Alerts

Dataset has 2240 (16.1%) duplicate rows	Duplicates
`Flow` has 2238 (16.1%) missing values	Missing
`Flow` is non stationary	Non stationary
`Flow` is seasonal	Seasonal

Reproduction

Analysis started	2024-05-12 18:19:07.639042
Analysis finished	2024-05-12 18:19:09.428568
Duration	1.79 second
Missing	Q_Station_NA_25027370_ok_Missing.csv
Download configuration	config.json

Flow
Numeric time series

MISSING NON STATIONARY SEASONAL

Distinct	4637
Distinct (%)	39.8%
Missing	2238
Missing (%)	16.1%
Infinite	0
Infinite (%)	0.0%

Mean	567.0587
Minimum	50.2
Maximum	1527
Zeros	0
Zeros (%)	0.0%
Memory size	216.9 KiB

Quantile statistics

Minimum	50.2
5-th percentile	189.6
Q1	357
median	526.4
Q3	746
95-th percentile	1095
Maximum	1527
Range	1476.8
Interquartile range (IQR)	389

Descriptive statistics

Standard deviation	273.28538
Coefficient of variation (CV)	0.48193491
Kurtosis	-0.23045229
Mean	567.0587
Median Absolute Deviation (MAD)	189.2
Skewness	0.60213027
Sum	6601697.4
Variance	74684.901
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	3.461765687 × 10^-16

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	32
min	3 days
max	2 years and 4 days
mean	10 weeks, 19 hours and 30 minutes
std	18 weeks, 2 days and 18 hours

Value	Count	Frequency (%)
928.8	26	0.2%
553.6	23	0.2%
450	23	0.2%
448	22	0.2%
546	19	0.1%
363.6	19	0.1%
734	18	0.1%
390	18	0.1%
562.3	17	0.1%
547.4	17	0.1%
Other values (4627)	11440	82.4%
(Missing)	2238	16.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50.2	2	< 0.1%
54.2	1	< 0.1%
54.8	2	< 0.1%
64.4	1	< 0.1%
65.7	1	< 0.1%
65.8	1	< 0.1%
68.2	1	< 0.1%
70.4	1	< 0.1%
71.4	1	< 0.1%
73.4	1	< 0.1%

Value	Count	Frequency (%)
1527	2	< 0.1%
1525	2	< 0.1%
1519	1	< 0.1%
1517	2	< 0.1%
1511	1	< 0.1%
1509	2	< 0.1%
1505	1	< 0.1%
1501	1	< 0.1%
1499	1	< 0.1%
1495	2	< 0.1%

ACF and PACF

Flow

Flow

Count
Matrix

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.

First rows
Last rows

	Flow
Date
1983-01-01	395.0
1983-01-02	387.5
1983-01-03	382.5
1983-01-04	376.2
1983-01-05	371.4
1983-01-06	364.2
1983-01-07	363.0
1983-01-08	369.0
1983-01-09	361.8
1983-01-10	357.0

	Flow
Date
2020-12-22	741.22
2020-12-23	730.95
2020-12-24	726.14
2020-12-25	722.68
2020-12-26	719.82
2020-12-27	710.20
2020-12-28	693.05
2020-12-29	684.79
2020-12-30	678.36
2020-12-31	676.97

Most frequently occurring

	Flow	# duplicates
2239	NaN	2238
1957	928.8	26
891	450.0	23
1187	553.6	23
888	448.0	22
615	363.6	19
1163	546.0	19
706	390.0	18
1648	734.0	18
1059	510.0	17