Report

Dataset statistics

Number of variables	1
Number of observations	13880
Missing cells	98
Missing cells (%)	0.7%
Duplicate rows	1710
Duplicate rows (%)	12.3%
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 1710 (12.3%) duplicate rows	Duplicates
`Flow` is non stationary	Non stationary
`Flow` is seasonal	Seasonal

Reproduction

Analysis started	2024-05-12 18:16:08.605738
Analysis finished	2024-05-12 18:16:11.083720
Duration	2.48 seconds
Missing	Q_Station_NA_21137010_ok_Missing.csv
Download configuration	config.json

Flow
Numeric time series

NON STATIONARY SEASONAL

Distinct	5335
Distinct (%)	38.7%
Missing	98
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%

Mean	776.19456
Minimum	148
Maximum	4247
Zeros	0
Zeros (%)	0.0%
Memory size	216.9 KiB

Quantile statistics

Minimum	148
5-th percentile	302
Q1	484
median	701.2
Q3	974
95-th percentile	1485.355
Maximum	4247
Range	4099
Interquartile range (IQR)	490

Descriptive statistics

Standard deviation	401.53669
Coefficient of variation (CV)	0.51731449
Kurtosis	6.1447639
Mean	776.19456
Median Absolute Deviation (MAD)	237.57
Skewness	1.7111346
Sum	10697513
Variance	161231.71
Monotonicity	Not monotonic
Augmented Dickey-Fuller test p-value	7.614086678 × 10^-25

Histogram with fixed size bins (bins=50)

Gap statistics

number of gaps	8
min	3 days
max	8 weeks and 6 days
mean	1 week, 5 days and 15 hours
std	2 weeks, 6 days and 1 hour

Value	Count	Frequency (%)
346	23	0.2%
405	23	0.2%
390	22	0.2%
410	21	0.2%
516	21	0.2%
476	20	0.1%
416	19	0.1%
487	19	0.1%
485	19	0.1%
568	19	0.1%
Other values (5325)	13576	97.8%
(Missing)	98	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
148	1	< 0.1%
150	1	< 0.1%
152	1	< 0.1%
153	2	< 0.1%
155	1	< 0.1%
157	1	< 0.1%
158	1	< 0.1%
159	2	< 0.1%
160	1	< 0.1%
161	1	< 0.1%

Value	Count	Frequency (%)
4247	1	< 0.1%
4135	1	< 0.1%
4104	1	< 0.1%
3906	1	< 0.1%
3905.9	1	< 0.1%
3791	1	< 0.1%
3765	1	< 0.1%
3701	1	< 0.1%
3642	1	< 0.1%
3617	1	< 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	642.0
1983-01-02	535.0
1983-01-03	586.0
1983-01-04	842.0
1983-01-05	1111.0
1983-01-06	921.0
1983-01-07	895.0
1983-01-08	934.0
1983-01-09	655.0
1983-01-10	551.0

	Flow
Date
2020-12-22	784.87
2020-12-23	1008.50
2020-12-24	457.19
2020-12-25	548.71
2020-12-26	1067.40
2020-12-27	744.43
2020-12-28	857.33
2020-12-29	1110.50
2020-12-30	956.61
2020-12-31	522.41

Most frequently occurring

	Flow	# duplicates
1709	NaN	98
159	346.0	23
254	405.0	23
231	390.0	22
263	410.0	21
430	516.0	21
370	476.0	20
274	416.0	19
369	475.0	19
386	485.0	19