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 14 mins ago
deathcode 666deathcode 666
1
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.
$endgroup$
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 14 mins ago
deathcode 666deathcode 666
1
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.
$endgroup$
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 14 mins ago
deathcode 666deathcode 666
1
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 14 mins ago
deathcode 666deathcode 666
1
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 14 mins ago
deathcode 666deathcode 666
1
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 14 mins ago
deathcode 666deathcode 666
1
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 14 mins ago
deathcode 666deathcode 666
1
asked 14 mins ago
deathcode 666deathcode 666
1
1
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.
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
deathcode 666 is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f45293%2fdealing-with-time-series-data-which-is-not-continuous%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f45293%2fdealing-with-time-series-data-which-is-not-continuous%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
