[R-sig-eco] Online course - Data wrangling using R and Rstudio (DWRS03)

[Oliver Hooker]

The fourth course in our 8 part R-series is *Data wrangling using R and
Rstudio.*

*Online course - Data wrangling using R and Rstudio (DWRS03)*

https://www.prstats.org/course/data-wrangling-using-r-and-rstudio-dwrs03/

11th, 12th and 14th December 2023
Please feel free to share!

Courses are recorded to accommodate different time zones. All attendees
will have access to recordings for a further 3 months after the course to
revisit any of the classes.

COURSE OVERVIEW  - During this course we provide a comprehensive practical
introduction to data wrangling using R. In particular, we focus on tools
provided by R’s tidyverse, including dplyr, tidyr, purrr, etc. Data
wrangling is the art of taking raw and messy data and formatting and
cleaning it so that data analysis and visualization etc may be performed on
it. Done poorly, it can be time consuming, laborious, and error-prone.
Fortunately, the tools provided by R’s tidyverse allow us to do data
wrangling in a fast, efficient, and high-level manner, which can have
dramatic consequences for ease and speed with which we analyse data. We
start with how to read data of different types into R, we then cover in
detail all the dplyr tools such as select, filter, mutate, etc. Here, we
will also cover the pipe operator (%>%) to create data wrangling pipelines
that take raw messy data on the one end and return cleaned tidy data on the
other. We then cover how to perform descriptive or summary statistics on
our data using dplyr’s summarize and group_by functions. We then turn to
combining and merging data. Here, we will consider how to concatenate data
frames, including concatenating all data files in a folder, as well as
cover the powerful SQL like join operations that allow us to merge
information in different data frames. The final topic we will consider is
how to “pivot” data from a “wide” to “long” format and back using tidyr’s
pivot_longer and pivot_wider.
Please email oliverhooker using prstatistics.com with any questions.

-- 

Oliver Hooker PhD.
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