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Datasets & R Code

Datasets used in the book (for illustrations and exercises) are downloadable below. To download the file, first click on the View link. You will be able to view the file contents before downloading. To download the file, select File, then Download. We recommend using Google Chrome or Mozilla Firefox for viewing and downloading the files. Alternatively, download a Zip file containing all the datasets.

In addition, for the Practical Time Series Forecasting with R, a file with all the R programs used in the book is available below.
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R code for book examples (uses version 6.2 of forecast package) (ZIP file)  18k v. 4 May 9, 2016, 3:00 AM Boaz Shmueli
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R code for book examples (uses version 7.1 of forecast package) (ZIP file)  17k v. 4 May 9, 2016, 3:00 AM Boaz Shmueli
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All Datasets (ZIP file)  186k v. 7 Jun 16, 2017, 11:22 PM Boaz Shmueli
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The forecast package for R provides methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.   166k v. 3 Jul 26, 2016, 2:36 AM Boaz Shmueli
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The forecast package for R provides methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.  192k v. 3 Jul 26, 2016, 2:34 AM Boaz Shmueli
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  Jul 23, 2012, 7:17 AM Boaz Shmueli
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  Jul 23, 2012, 7:17 AM Boaz Shmueli
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  56k v. 2 Jun 16, 2017, 11:14 PM Boaz Shmueli
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  Oct 28, 2012, 6:51 PM Boaz Shmueli
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  Jul 23, 2012, 7:17 AM Boaz Shmueli
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  Jul 23, 2012, 7:17 AM Boaz Shmueli
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  1k v. 2 Jun 4, 2017, 6:42 PM Boaz Shmueli
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  Jul 23, 2012, 7:17 AM Boaz Shmueli
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  Jul 23, 2012, 7:17 AM Boaz Shmueli