Capstone-Project

This is the repository for CKME136 Ryerson Big Data Certificate.

Topic of Project

Downtown Toronto Air Quality Prediction Leveraging Environment Canada Data

Air pollution is linked to many health issues such as cardiovascular deaths, heart disease, lung cancer and strokes. Large cities are increasingly facing the episodes of critically high levels of air pollution which is affecting the public health. Accurate pollution forecasting helps people and health providers to plan ahead and decrease the effects of air pollution on health and costs associated.

Data Sources

Abstract

Data Preperation

Since the data that is downloaded from website is in raw format, it is essential to first clean and prepare them. Below Rmd files are the steps to process the raw data.

• Data Prep from the Raw Data - Pollutants
• Data Prep from the Raw Data - Meteorological

Technically Correct Data

Technically correct data do not have missing data, categories are not missing and the data is ready for Exploratory Analysis stage. Below Rmd files are details of steps taken to prepare the data to technically correct format.

• Technically Correct Data - Pollutants
• Technically Correct Data - Meteorological

Exploratory Data Analysis

• Exploratory Data Analysis

Univariate Model

• ARIMA for Time Series (Univariate) and Naive Prediction for Baseline
• Random Forest (Univariate) and Sliding Window Validation