Weather-based demand forecast indices

This data includes the forecast of weather-based demand for up to 10 days on daily level for a given ZIP code. In comparison to the full data set, this data sample provides information for one ZIP code. The data can be found here: "PUBLIC"."FORECAST_GFK_VIEW_EXAMPLE” The dataset has the following fields: - date_forecast: Date on which the forecast was created - country: country of the zip_code. - zip_code: Zip code for which the index was calculated for a pollen type - date: date for which the index was calculated - model: industry / product type for which the indices were calculated - value: actual impact of the forecasted weather on the given date and zip code. value of 1.15 means the demand is 15 % higher due to the weather than normally. - class: the class to which level the weather actually influences the demand more generally The definition of the class is: 1: weather reduces the demand on 10 % of the days 2: weather reduces the demand on 20 % of the days 3: weather has no influence on the demand on 40 % of the days 4: weather increased the demand on 30 % of the days We offer the following models in this dataset: - Car-Tyres - DIY-Activity - Fashion-Stationary - Fashion-Ecommerce - Fashion-Swimwear - Fashion-Athletic Apparel - Fashion-Sneakers - Fashion-Outerwear - Fashion-Umbrella - FMCG-Beverages: Beer - FMCG-Beverages: Coke - FMCG-Beverages: Coffee - FMCG-Beverages: Juice - FMCG-Beverages: Tea - FMCG-Beverages: Water - FMCG-Beverages: Wine - FMCG-Food: Bakery Goods - FMCG-Food: BBQ - FMCG-Food: Ice Cream - FMCG-Food: Snacks - FMCG-Food: Chocolate Goods - FMCG-Food: Frozen Goods - FMCG-Personal Care: Deodorant - FMCG-Personal Care: Dry Skin - FMCG-Personal Care: Insect Skin Protection - FMCG-Personal Care: Body Care - FMCG-Personal Care: Sun Protection - FMCG-Pharma: Cold Medicines - Garden Outdoor: Garden Furniture - Garden Outdoor: Garden Tools - Garden Outdoor: Grills Accessories - Garden Outdoor: Outdoor Plants