Dear all,
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 a time consuming, labourious, 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 the ease and speed with which we analyse data.
This two-day online course provides a comprehensive practical introduction to data wrangling using R's tidyverse packages such as dplyr, tidyr, purrr, etc.
We will cover topics such as the following:
* Reading in data into R using tools such as readr and readxl
* Wrangling with the powerful dplyr R package, focusing on filtering observations, selecting and modifying variables, and other major data manipulation operations
* Summarising data in dplyr using descriptive statistics
* Merging and joining data frames
* Pivoting and reshaping data using the tidyr R package
More information and course registration are at the following URL: https://www.ntu.ac.uk/course/social-sciences/short-courses/introduction-to-data-wrangling-using-r-and-tidyverse
Mark Andrews
Associate Professor of Statistical Methods
NTU Psychology
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