Skip to content

Latest commit

 

History

History
24 lines (16 loc) · 1.38 KB

index.md

File metadata and controls

24 lines (16 loc) · 1.38 KB
Raw

Air Quality Data Analysis Repository

Welcome to the Air Quality Data Analysis repository! This repository is dedicated to providing datasets, resources, and tools for analyzing air quality data. Whether you're interested in monitoring pollution levels, analyzing trends over time, or diving deep into specific metrics, you'll find everything you need here.

Repository Contents

1. Datasets

The repository includes various datasets focused on air quality metrics from different sources and regions. You can find detailed information about each dataset below:

  • Airthings Sensor Data: Dataset from Airthings sensors, recording indoor air quality metrics like Radon, CO2, VOC, humidity, and temperature.

2. Analysis Notebooks

TBD

  • Exploratory Data Analysis (EDA): A comprehensive EDA notebook to help you get started with understanding the datasets.
  • Time-Series Analysis: Analyze trends and seasonal patterns in air quality data over time.
  • Machine Learning Models: Build predictive models to forecast air quality levels based on historical data.

3. Data Visualization Tools

TBD

  • D-Tale: An interactive data analysis tool for in-depth exploration.
  • Matplotlib & Seaborn: Python libraries for creating detailed plots.
  • Plotly Dash: Build dynamic web-based dashboards for monitoring air quality metrics.