[SAMPLE] Air Quality Data | Pollen Data | Pollen Forecast for 35+ Pollen Types | Air Quality ...

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

该数据集为样本数据，提供针对单个邮政编码的未来五天花粉预测，涵盖35种以上花粉类型的指数（0-3级），可用于丰富网站内容、数据分析项目或基于天气预测触发事件。