Mapping Texas ports with R [part 1]

Mapping Texas ports with R [part 1]

In the last few months since covid-19 has struck, everyone is suddenly talking about supply chains. Just a few months ago, this was sort of a “boring” topic, only discussed by import specialists and corporate operations managers. But now, here we are,...
Why I still love R

Why I still love R

One of the most common questions I get from data science students is “should I learn R or Python?” In the last year or so, many of the blog posts at the Sharp Sight blog have been Python data science tutorials, and I’ve actually been using Python a...
R data analysis, covid19: finding successful countries

R data analysis, covid19: finding successful countries

In this blog post, we’ll create a data visualization to analyze covid19 data and visualize successful vs. unsuccessful countries. You’ll see exactly what I mean by that in a minute. Our covid19 analysis series: a quick review This tutorial is actually part...
R covid19 analysis, part5: dealing with data issues

R covid19 analysis, part5: dealing with data issues

Ok … welcome back to this covid19 data analysis series with R. In this series, we’re analyzing covid19 data with the R programming language. So far in this series, we’ve done several things: We retrieved a simple covid19 csv file in part 1 In part 2,...
R Data Visualization: covid-19, part 4

R Data Visualization: covid-19, part 4

Welcome back. Hopefully you’ve been following along with our R data analysis series. This tutorial is part of a series of tutorials analyzing covid-19 data with R. So far in this series, we’ve used R to retrieve a simple covid19 dataset. Later, we used R...