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When & Where
Date: 
Mon, April 13, 2020 - 9:00 AM to 11:30 AM
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Location: 
Remote (Zoom information forthcoming)
Description
Type: 

**Registration will open Friday, March 20th at 12PM**

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.

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.

Primary Tool: 
R
Details
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Remote, hands-on, interactive
Participant Technology Requirement: 
Laptop, Internet Connection, Zoom account

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

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