R: patterns, models, insight
R: patterns, models, insight
Explore sports performance, financial time series, prediction, visualization, and text analysis.
Explore sports performance, financial time series, prediction, visualization, and text analysis.
Analyze track-and-field performance data to assess jumpers and throwers for a fantasy athletics team.
Focus: Exploratory analysis and performance comparisons.
Use descriptive statistics and modeling to examine how US bond yields behave over time.
Focus: Financial time series and volatility modeling. See the notebook for the dataset and analysis.
Explore taxi fare prediction with regression trees and random forests.
Focus: Predictive modeling and interpreting geographic patterns in fares.
Context: Fare predictions alone do not measure driver profitability; trip duration, costs, and demand also matter.
Use dplyr and ggplot2 to prepare and visualize COVID-19 trend data.
Focus: Data transformation and visual communication.
Analyze dialogue and IMDb ratings across 287 South Park episodes.
Focus: Text analysis and exploratory comparisons.