# Data Wrangling with R (Level 2 - Data)

## Summary
Data wrangling is the process of obtaining, cleaning, reshaping and transforming raw (and messy) data into a useable form of processed (and tidy) data. It is known that a majority of data analysists and data scientists spend as much as 80% of their time on data wrangling. So it's essential to get familiar with good data wrangling tools that help you save time and avoid errors. In this hands-on workshop, you will learn basic skills to import, export, clean, reshape, transform, and visualize data using well-known data science package called tidyverse.

Learning Objectives: (You will learn how to)
Import and export data
Clean, reshape and transform data
Make messy data into tidy data
Visualize tidy data using ggplot2 (if time permits)

Prerequisites
Basic knowledge of R and RStudio (e.g., R Programming for Beginners - Level 1)
RStudio Cloud account; if you don't have one yet, please create a new account from https://rstudio.cloud site.
Tidyverse package; please make sure that you have installed the tidyverse package in your R environment. See https://www.tidyverse.org for more information.

## Location
Online (Zoom information will be provided to the attendees after registration)

## Participants
CMC Students, Faculty and Staff