Visualization techniques for time series data, per ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU)

This document contains visualizations of the classic Palmer penguins dataset, focusing on ways to show different distributions. Based on an assignment from ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU).

This document focuses on various ways to visualize amounts, per an assignment in ESCI599 Data Visualization Seminar (Dr. Andy Bunn, WWU).

Costa Rica’s Healthcare System: Focus on Maternal-Child Health

This report analyzes the impacts of severe weather events on public health and the economy using NOAA’s Storm Database. We load and clean the raw CSV data, then evaluate each event type based on fatalities and injuries to assess public health risks. We also calculate and rank economic losses by event type. Visualizations are used to highlight the most harmful weather types. The analysis is performed in R, using packages like dplyr for data manipulation and ggplot2 for visualization. The goal is to help government managers understand the risks associated with different weather events and prioritize resources accordingly.

I got to practice data visualisation using leaflet with the University of Chicago. I learnt how to: - translate big data onto a map - clean it up using the cluster function - plot two variables geographically to test a hypothesis - make it easier to read with a heatmap.

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