See organizers’ website for details It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This R workshop will introduce tools (notably dplyr and tidyr) that makes data wrangling and manipulation much easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful stuff. Click here for install instructions and workshop materials. Prior knowledge: Previous experience with (basic) R is assumed. Completion of D-Lab's R FUN!damentals workshop series should be sufficient.

See organizers’ website for details Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with 'relational' or 'labeled' data both easy and intuitive. It enables doing practical, real-world data analysis in Python. In this workshop, we'll work with example data and go through the various steps you might need to prepare data for analysis. We plan to cover: pandas data structures loading data subsetting and filtering calculating summary statistics dealing with missing values merging data sets creating new variables basic plotting exporting data New to Python? Consider attending D-Lab's Python for Everything series!