More institutions of higher education are embracing a data-informed culture and generating high demand for both IT and IR resources. However, data rarely comes in a shape and format that is analysis ready and, due to the nature of cyclical reporting, researchers find themselves spending timecleaning, wrangling and reshaping data only to do it all again next year.
In this 2-part webinar series you will be introduced to a set of tools and capabilities in R that can help speed up data preparations, providing a great alternative to traditional SQL and Excel methods. Through a series of guided exercises participants will learn how to select, filter, sort, combine, summarize, generate new variables and group data using dplyr package in R. You will then be introduced to R Markdown and its potential for creating reproducible parameterized reports and converting results into a variety of static or interactive formats that are easy to share and publish.
All code and exercises will be made available for webinar attendees via a designated R Studio Cloud workspace.
As a result of this webinar, participants will:
A recording of this webinar will be available for 30 days from the time of purchase.
Item Code: WEB_DATA_TRANSFORM_ANALYSIS_R
Recorded Date: 01/28/2020
Experience Level: Beginner/Intermediate
Member/Non-Member Price: Two-part webinar series: $140 members/$160 non-members
Presenter(s): Olya Musokhranova and Joshua Barillas