Pollen forecast for more than 35 different pollen types

You can enrich and improve your website, your analysis, your Data Science project, or trigger any event based on high accurate weather forecast. Forecast data includes pollen data for the next 5 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_POLLEN_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 - pollen_index: Index for the pollen severity on a given date. The index ranges from 0 to 3. The definition of the pollen index is: 0: no impact for this pollen type 1: low impact 2: medium impact 3: high impact We offer the index for the following pollen types: - Abies - Acer - Aesculus - Ambrosia - Artemisia - Asteraceae - Betula - Carpinus - Castanea - Corylus - Cruciferae - Cyperaceae - Fraxinus - Fungus - Galium - Humulus - Larix - Pinaceae - Pinus - Plantago - Populus - Quercus ilex - Rumex - Salix - Secale - Chenopodium - Tilia - Urtica - Alnus - Erica - Fagus - Impatiens - Juglans - Poaceae - Quercus - Sambucus - Picea - Ulmus - Varia - Platanus - Taxus

搜集汇总

背景与挑战

背景概述

该数据集提供针对超过35种花粉类型的5日预报，可用于丰富网站内容、数据分析或事件触发。预报数据包括特定邮政编码的每日花粉指数（0-3级），涵盖多种花粉类型，如桦树、草类等，并以示例形式展示单一邮政编码的信息。