In altaf-ali/tidydata_tutorial: Data Manipulation in R

knitr::opts_chunk$set(comment = NA)

Introduction

Data manipulation is the process of cleaning, organising and preparing data in a way that makes it suitable for analysis. Most real-world datasets require some form of manipulation to facilitate the downstream analysis and this process is often repeated a number of times during the data analysis cycle. In this workshop you will learn how to apply a consistent grammar of data manipulation to raw data and prepare it for analysis. The following topics are covered in the workshop:

• Learning to use the grammar of data manipulation
• Merging multiple datasets and creating subsets using filters
• Reshaping data between long and wide formats
• Summarising data with group-wise operation
• Setting up data pipelines for efficient data manipulation

This workshop is designed for individuals who are already familiar with R but wish to learn efficient techniques for data manipulation. It is recommended that you bring your own laptop with the latest version of R and RStudio installed.

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altaf-ali/tidydata_tutorial documentation built on May 20, 2019, 4:08 p.m.