Blog article: Towards Data Analytics: Data literacy in R

Towards Data Analytics: Data literacy in R

Article text

Data is everywhere, and is a critical component in every faction of work. Understanding data is essential for evidence based decision making. Within most organizations Excel is King, the application that is used to collect, share, manipulate, analyze, and communicate information from data. While great for many things, Excel has limitation related to data analytics. This story aims to demystify the perceived notions around the difficulty associated to data analytics. Focusing on understanding data, and introducing principle elements that data practitioners face daily, the hands-on approach will help those looking to improve their analysis abilities beyond using Excel.

This Data Story focuses on using RStudio, an open source industry leader for data analytics. Specific focus areas include:

  • Importing data
  • Explore data
  • Working with data
  • Performing calculations
  • Visualizations
  • Next steps in the RStudio journey
Ready to get started? Read it on Medium: Towards data analytics: Data literacy in R