Explore data preparation techniques for analysis in R through this comprehensive conference talk from ODSC West 2015. Learn how to detect and fix common data quality issues, automate routine steps, and improve the success rate of data science projects. Follow along with interactive demonstrations using R, RStudio, and essential packages as John Mount and Nina Zumel guide you through the fundamentals of data preparation. Discover practical solutions for handling missing values, novel categorical levels, and variable treatment. Gain insights into creating effective treatment plans and improving model quality. Access downloadable materials to practice and reinforce your learning at your own pace.