location of bike thefts in Vancouver in 2021

This project analyzes trends in fine particulate matter (PM2.5) emissions in the United States over a ten-year period (1999–2008) using data from the Environmental Protection Agency's (EPA) National Emissions Inventory (NEI). PM2.5 is a dangerous air pollutant that poses significant health risks, including respiratory and cardiovascular issues. The goal of this analysis is to investigate how PM2.5 emissions have changed over time and to identify the primary sources contributing to these trends. The analysis examines both nationwide and localized trends. At the national level, total PM2.5 emissions were analyzed to assess whether overall pollution levels have decreased over time. Baltimore City, Maryland, was used as a case study to explore emissions trends by source type, including on-road, non-road, point, and non-point sources. Additionally, emissions from coal combustion-related sources were studied to evaluate changes driven by energy sector policies. The project also focused on motor vehicle emissions in Baltimore City and compared these trends with those observed in Los Angeles County, California, to highlight regional differences. Key findings from the analysis reveal a significant decrease in total PM2.5 emissions in the United States between 1999 and 2008. In Baltimore City, reductions were observed across most source types, with particularly notable declines in motor vehicle emissions, likely due to cleaner technologies and stricter regulations. At the national level, PM2.5 emissions from coal combustion-related sources also decreased significantly, reflecting advancements in energy sector practices. The comparison between Baltimore and Los Angeles highlighted differing trends in motor vehicle emissions, influenced by factors such as urban infrastructure and population density. This project incorporates six visualizations to present the findings effectively. These include: Total PM2.5 emissions across the United States. PM2.5 emissions in Baltimore City by source type. Grouped bar plots showing source-type trends in Baltimore. Trends in coal combustion-related emissions at the national level. Motor vehicle emissions in Baltimore City over time. A comparison of motor vehicle emissions between Baltimore City and Los Angeles County. The data for this project was sourced from the EPA’s National Emissions Inventory (NEI), a comprehensive database of air pollution emissions across the United States. More information about the NEI is available at the EPA’s official website: EPA NEI Database. This project demonstrates skills in data analysis, visualization, and reporting using R programming. Tools such as ggplot2 and gridExtra were employed to create compelling visualizations, providing actionable insights into air quality trends and pollution sources. Through this analysis, the project highlights the progress made in reducing harmful emissions and the challenges that remain in improving air quality.

Analyzing 30-Year Fixed-Rate Mortgage.

Constructing a Time Series Plot and Comparing Forecasting Methods.

Using the naive method (most recent value) as the forecast for the next week to compute measures of forecast accuracy.