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Sales Prediction using Weather Company Data
Project
Industry Accelerator
Retail
Description

Improve business outcomes by predicting and quantifying the impact of weather on your business (for instance, revenue, quantity of products). This WCDLE solution can be applied across a wide range of industries and has particularly relevant use cases for industries with sensitivity to changes in daily or/and seasonal weather conditions, such as retail, consumer packaged goods, services, hospitality, entertainment, travel, and transportation.

This sample project contains 12 file assets, including 7 data sets, as well as 4 notebooks, and 1 sample R Shiny dashboard application. The notebooks run in the latest Python environment.

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Details
Publisher
IBM Analytics
Required Services
1
Included assets
12 Data sets
4 Notebooks
7 XLS files
Drag and drop files to add data source.