Log in

Sign up for our weekly newsletter!

When & Where
Date: 
Mon, February 24, 2020 - 11:00 AM to 1:00 PM
Location: 
356B Barrows Hall (D-Lab Convening Room)
Description
Type: 

It is often said that 80% of data analysis is spent on the process of cleaning and preparing the data. This 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.

Prerequisite: Prior experience with R is assumed such as R-Fundamentals Parts 1 through 4 or equivalent knowledge. 

Training Keywords: 
Data Manipulation and Cleaning
Primary Tool: 
R
Details
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Interactive, hands-on

Basic Competency

These workshops are designed for participants with beginner fluency. They already have a little coding, tool or method experience but need to learn more intermediate applications such as conditional subsetting and appropriate data visualizations for their research. 

Examples: Introduction to Pandas, R-wrang, Data Visualization with Python, R-graphics, Survey Sampling, Weighting Data, Introduction to Qualtrics, Finding Health Statistics and Data, Data Viz Theory and Best Practices, Python Machine Learning, Machine Learning in R, Intro to Computational Text Analysis, Geospatial Fundamentals in Python/sf/QGIS/ArcGIS, Intermediate Tableau

Log in to register for this training.