forecasting/examples
Daniel Ciborowski 86b421b718
Update autoarima_multi_round.ipynb (#226)
2020-10-20 03:54:53 +11:00
..
grocery_sales Update autoarima_multi_round.ipynb (#226) 2020-10-20 03:54:53 +11:00
retail_turnover Add retail_turnover example, cleanup contrib folder (#203) 2020-06-20 06:58:54 +10:00
README.md Add retail_turnover example, cleanup contrib folder (#203) 2020-06-20 06:58:54 +10:00

README.md

Forecasting examples

This folder contains Python and R examples for building forecasting solutions presented in Python Jupyter notebooks and R Markdown files, respectively. The examples are organized according to forecasting scenarios in different use cases with each subdirectory under examples/ named after the specific use case.

At the moment, the repository contains a single retail sales forecasting scenario utilizing Dominick's OrangeJuice dataset. The name of the directory is grocery_sales.

Summary

The following table summarizes each forecasting scenario contained in the repository, and links available content within that scenario.

Directory Content Description
grocery_sales python/
R/
Python and R examples for forecasting sales of orange juice in Dominick's dataset.
retail_turnover (R only) An introduction to forecasting with the Tidyverts framework, using monthly Australian retail turnover by state and industry code. The dataset is one of many included in the tsibbledata package of example time series datasets.