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PhD+ Data Science Essentials in R: Data Preparation

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Brown Science & Engineering Library, Clark Hall Room 133

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The UVA Library’s Research Data Services Team is partnering with UVA’s PhD Plus program to pilot a new module – Data Science Essentials in R – a six-session series to build data analysis, wrangling, and visualization skills.

Data Preparation/Tidy Data in R - Before analyzing data, we spend considerable effort wrangling the data into an analyzable form – creating and recoding variables, merging data sets, filtering and aggregating data, reshaping and more. In this workshop, we’ll learn about data preparation using dplyr, a library defining a grammar of data manipulaiton, and tidyr, a library for reshaping and tidying data. We’ll also cover working with data types like factors and dates and using conditional logic.

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Brown Science & Engineering Library, Clark Hall Room 133

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