# Data Wrangling with R (Level 2)

## 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 analysts 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.

## Participants
CMC Students, Faculty, and Staff