Data Preprocessing for Pollution Project
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Updated
Sep 8, 2024 - Python
Data Preprocessing for Pollution Project
Access and collect pollution data
Pretty EPIC Protype Pollution Scanner
Python class pollution test lab
Sensor data information system of ExpoLIS project
the data was taken from the website: https://www.ceip.at/the-emep-grid/gridded-emissions/pm25 .The format used was: NetCDF format: 1990 to 2020
Análises de dados de Meteorologia que realizei durante meu curso. Foram analisados dados de monóxido de carbono (CO) da estação Marginal Tietê Ponte dos Remédios, da rede CETESB. Afim de observar as concentrações durante o período pandêmico.
Mapas de la contaminación en Madrid a tiempo real
As a data analyst working for the Jakarta Environmental Agency, My task is to analyze recent air quality data to identify trends and highlight critical periods of pollution. My findings will help the agency understand the severity of the problem and provide data-driven evidence for potential public health advisories.
Dashboard of sewage overflow data from 2017-2023 in the Southern Water catchment, UK
This is the Tetrad API, which allows users to query sensor data from Tetrad sensors around the world!
I've developed a user-friendly application that helps analyze land suitability for various purposes, particularly focusing on environmental factors. Think of it as a "health check-up system" for land areas! 🌍
Streamlines how organizations track government data on pollution cleanup projects in California. Written in Python, HTML, and CSS.
Allows a user to download community-collected data for air pollution, automatically adjust for humidity, sensor errors, bad data and outliers, then perform a methodologically sound statistical analysis all delivered in convenient reports. Easy to use and configurable!
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