Dealing with time series data which is not continuous
$begingroup$
I have a time series data in Python 3 as follows:
Date `Weekly_Sales`
2010-05-02 3400
2010-05-02 5600
2010-05-02` 4590
2010-05-02 5800
2010-05-12 2380
2010-05-12 6700
2010-05-12 3700
The time series is not continuous as there are multiple observations of the same date.I'm trying to forecast sales in python using ARIMA but my ACF and PACF plot shows that there is no corelation between the lags.Also if i run the dickly fuller test to test stationarity,my system freezes.
How can I fix this?
python time-series
asked 18 hours ago
deathcode 666deathcode 666
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
add a comment |
$begingroup$
I have a time series data in Python 3 as follows:
Date `Weekly_Sales`
2010-05-02 3400
2010-05-02 5600
2010-05-02` 4590
2010-05-02 5800
2010-05-12 2380
2010-05-12 6700
2010-05-12 3700
The time series is not continuous as there are multiple observations of the same date.I'm trying to forecast sales in python using ARIMA but my ACF and PACF plot shows that there is no corelation between the lags.Also if i run the dickly fuller test to test stationarity,my system freezes.
How can I fix this?
python time-series
asked 18 hours ago
deathcode 666deathcode 666
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
Possible duplicate of Forecasting non-negative sparse time-series data
$endgroup$
– Louis T
16 hours ago
add a comment |
$begingroup$
I have a time series data in Python 3 as follows:
Date `Weekly_Sales`
2010-05-02 3400
2010-05-02 5600
2010-05-02` 4590
2010-05-02 5800
2010-05-12 2380
2010-05-12 6700
2010-05-12 3700
The time series is not continuous as there are multiple observations of the same date.I'm trying to forecast sales in python using ARIMA but my ACF and PACF plot shows that there is no corelation between the lags.Also if i run the dickly fuller test to test stationarity,my system freezes.
How can I fix this?
python time-series
asked 18 hours ago
deathcode 666deathcode 666
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a time series data in Python 3 as follows:
Date `Weekly_Sales`
2010-05-02 3400
2010-05-02 5600
2010-05-02` 4590
2010-05-02 5800
2010-05-12 2380
2010-05-12 6700
2010-05-12 3700
The time series is not continuous as there are multiple observations of the same date.I'm trying to forecast sales in python using ARIMA but my ACF and PACF plot shows that there is no corelation between the lags.Also if i run the dickly fuller test to test stationarity,my system freezes.
How can I fix this?
python time-series
python time-series
asked 18 hours ago
deathcode 666deathcode 666
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 18 hours ago
deathcode 666deathcode 666
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 18 hours ago
deathcode 666deathcode 666
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 18 hours ago
deathcode 666deathcode 666
61
asked 18 hours ago
deathcode 666deathcode 666
61
61
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
deathcode 666 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Possible duplicate of Forecasting non-negative sparse time-series data
$endgroup$
– Louis T
16 hours ago
add a comment |
$begingroup$
Possible duplicate of Forecasting non-negative sparse time-series data
$endgroup$
– Louis T
16 hours ago
$begingroup$
Possible duplicate of Forecasting non-negative sparse time-series data
$endgroup$
– Louis T
16 hours ago
$begingroup$
Possible duplicate of Forecasting non-negative sparse time-series data
$endgroup$
– Louis T
16 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
It looks like you have lost a bit of information in that dataset. You shouldn't have 4 measurement for one timestep for one variable - how do you know which of the first four rows to use for 2010-05-02?
I would suggest checking your data source, or then working out a way to explain the meaning of the four values... are they different somehow (using other information)?
How are you even creating lags on that Date index? Take the average over each day?
Depending on the package you use for your Dickey-Fuller test (and other methods), they might not be made to deal with identical timesteps as input... so could explain why the session crashes.
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
$endgroup$
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
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oldest
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active
oldest
votes
$begingroup$
It looks like you have lost a bit of information in that dataset. You shouldn't have 4 measurement for one timestep for one variable - how do you know which of the first four rows to use for 2010-05-02?
I would suggest checking your data source, or then working out a way to explain the meaning of the four values... are they different somehow (using other information)?
How are you even creating lags on that Date index? Take the average over each day?
Depending on the package you use for your Dickey-Fuller test (and other methods), they might not be made to deal with identical timesteps as input... so could explain why the session crashes.
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
$endgroup$
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
add a comment |
$begingroup$
It looks like you have lost a bit of information in that dataset. You shouldn't have 4 measurement for one timestep for one variable - how do you know which of the first four rows to use for 2010-05-02?
I would suggest checking your data source, or then working out a way to explain the meaning of the four values... are they different somehow (using other information)?
How are you even creating lags on that Date index? Take the average over each day?
Depending on the package you use for your Dickey-Fuller test (and other methods), they might not be made to deal with identical timesteps as input... so could explain why the session crashes.
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
$endgroup$
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
add a comment |
$begingroup$
It looks like you have lost a bit of information in that dataset. You shouldn't have 4 measurement for one timestep for one variable - how do you know which of the first four rows to use for 2010-05-02?
I would suggest checking your data source, or then working out a way to explain the meaning of the four values... are they different somehow (using other information)?
How are you even creating lags on that Date index? Take the average over each day?
Depending on the package you use for your Dickey-Fuller test (and other methods), they might not be made to deal with identical timesteps as input... so could explain why the session crashes.
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
$endgroup$
It looks like you have lost a bit of information in that dataset. You shouldn't have 4 measurement for one timestep for one variable - how do you know which of the first four rows to use for 2010-05-02?
I would suggest checking your data source, or then working out a way to explain the meaning of the four values... are they different somehow (using other information)?
How are you even creating lags on that Date index? Take the average over each day?
Depending on the package you use for your Dickey-Fuller test (and other methods), they might not be made to deal with identical timesteps as input... so could explain why the session crashes.
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
answered 16 hours ago
n1k31t4n1k31t4
5,8012318
5,8012318
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
add a comment |
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
$begingroup$
its a cross sectional panel data.So when i run the dicky fuller test,the system freezes,the same thing happens when i run ARIMA.
$endgroup$
– deathcode 666
16 hours ago
add a comment |
deathcode 666 is a new contributor. Be nice, and check out our Code of Conduct.
deathcode 666 is a new contributor. Be nice, and check out our Code of Conduct.
deathcode 666 is a new contributor. Be nice, and check out our Code of Conduct.
deathcode 666 is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Possible duplicate of Forecasting non-negative sparse time-series data
$endgroup$
– Louis T
16 hours ago