Data Tidying

Data tidying is an essential part of the analysis process, though it is often glossed over in training as students are given tidy datasets to work on. This series uses real data from met offices and outlines the process of getting it ready for analysis. Viewers will be introduced to common problems and questions that arise with climatic data, and how to handle them. The information can then easily be applied to your own data. 

(These videos were made 2 years ago, so R-Instat has since been improved and updated. 24/7/2023)

Getting Climate Data Ready
  

Getting Climate Data Ready - Extra Bits 1 - The Missing Date Challenge
   

Getting Climate Data Ready - Extra Bits 2 - Adding Station Data
  

Challenges in Tidying Data
  

Challenges in Tidying Data - Extra Bits - Mozambique 
  

Challenges in Tidying Data - Extra Bits - Cameroon