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timeseries-forecasting's Introduction

Time Series Forecasting

An application which works on top of the awesome forecast package by Rob Hyndman. I have included another forecasting technique to incorporate one of the business requirement which is called Seasonal Naive with Growth. It is basically Seasonal Naive, but the forecast is multiplied by a growth measure.

Getting Started

Just clone the repo to your local and use the codes. The forecast_functions.R is the file with the meat of the repo. The other files are just examples that use the function and other ggplot2 visualizations,

Prerequisites

Need these packages installed and loaded before running the function.

require(dplyr)
require(xts)
require(zoo)
require(tidyr)
require(forecast)
require(ggfortify)
require(ggplot2)

Visualization

Lolipop Chart for the weighted Accuracy of all the different methods Box Plot of the Accuracies of different items under different methods Ridge Plot of the Accuracies of different items under different methods Coverage of the different forecasting methodologies Complexity vs Accuracy

Authors

  • Manu Joseph

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • Hat tip to anyone who's code was used, especially Rob Hyndman who is a rockstar in forecasting
  • Inspiration
  • etc

timeseries-forecasting's People

Forkers

iamprakhargupta

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