R: Exploring Data - Level 2

Summary

Data Exploration is the process of importing, filtering, transforming, and visualizing data to find patterns and get an idea of how to move forward with your data project. It is known that a majority of data analysts and data scientists spend as much as 80% of their time in data exploration. Thus, it is essential to get familiar with good data wrangling and visualization tools that help you save time and avoid errors. In this hands-on workshop, you will learn basic skills to import, export, filter, transform, and visualize data using the well-known data science package called tidyverse.

Learning Objectives: You will learn how to:

Import and export dataFilter and transform data with dplyrVisualize data with ggplotUse basic logical operations

Instructor: Dr. Bhaven Mistry

Pre-requisites

Basic knowledge of R and RStudio \(e.g., Programming Basics with R - Level 1\)Posit Cloud account; if you don't have one yet, please create a new account at https://posit.cloud/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

All CMC Students, Faculty, and Staff, and All Claremont Colleges Students, Faculty, and Staff.