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A five-chart data story on Australian food waste, how much we waste, who wastes it, where it ends up, why it matters, and what we can do — built in R as a story pitch for The Conversation.
Math Problems 6/15/26
These are the math problems of the day for 6/15/26.
Data Science Capstone - Milestone Report
Exploratory analysis of HC Corpora dataset for JHU Data Science Capstone
Reproducible Research: Peer Assessment 2
This project deals with a storm dataset from the U.S. National Oceanic and Atmospheric Administration (NOAA). It makes use of the disaster type, the population health impact, and economic damage impact variables from the dataset. We address two questions:
1. Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health?
2. Across the United States, which types of events have the greatest economic consequences?
For population health, tornadoes have the highest amount of damage. For economic impact, floods have the highest amount of damage.