Harry is part of the Data Science team at SAS UKI. He has an academic background in economics and data analytics and has experience in advanced analytics, business intelligence, and cloud computing, including open-source data analytics with R, Python and SQL.
In the previous section of this series we looked at basic summary statistics. In this article we start to consider the relationships between variables in our dataset. As part of your Explanatory Data Analysis it is worth looking for correlation between variables. Generally, when referring to correlation we mean the
Following on from my last blog introducing the series, in this section, we’ll take a first look at Explanatory Data Analysis with basic summary statistics. Getting started with a new dataset in analytics can be daunting. It can help when first looking at a dataset to start with basic summary
Following on from my introductory blog series, Data Science in the Wild, we’re going to start delving into how you can scale up and industrialise your Analytics with SAS Viya. In future blogs we will look at how you can augment your R & Python code to leverage SAS Viya
