https://github.com/alexlbaker/r-forecasting-sales
Provides a systematic approach for forecasting sales data based on historical quarterly sales figures.
https://github.com/alexlbaker/r-forecasting-sales
forecasting r sales sales-analysis
Last synced: 12 months ago
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Provides a systematic approach for forecasting sales data based on historical quarterly sales figures.
- Host: GitHub
- URL: https://github.com/alexlbaker/r-forecasting-sales
- Owner: AlexLBaker
- License: mit
- Created: 2023-08-11T17:31:54.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-09-03T10:12:40.000Z (almost 3 years ago)
- Last Synced: 2025-02-25T15:31:31.296Z (over 1 year ago)
- Topics: forecasting, r, sales, sales-analysis
- Homepage:
- Size: 110 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Forecasting-Sales-R
Provides a systematic approach for forecasting sales data based on historical quarterly sales figures. Different time series models are explored, and the best model is selected based on its performance on a validation set. The forecast is then visualized as a probability density function (PDF), and weighted averages for different sales regions are calculated based on the PDF.
Necessary packages installation code:
install.packages(c("readxl", "dplyr", "lubridate", "zoo", "forecast"))
Thanks for checking out this project, hope it helps! You may not hear this on GitHub a lot, but I appreciate you.
Best luck and wishes,
Alexander Baker.