In this tutorial, I’ll show you how to use the sns.countplot function to create a Seaborn countplot. I’ll explain what this function does, how the syntax works, and I’ll show you some step-by-step examples. If you need something specific, you can click on any of the following links, and it will take you to the … Read more
One of the biggest questions from data science students is what to focus on. All of us have limited time and there is a lot to learn in data science. Many overzealous students throw caution to the wind, and immediately try to learn advanced topics like machine learning. As I’ve said many times, this is … Read more
Last week, I wrote a blog post explaining that it’s actually hard to master data science ultra fast. In order to master data science at an accelerated rate, you need to do a lot of things correctly. You need to work hard, and you need to do things that most students aren’t willing to do. … Read more
Last week in Mapping Texas Ports with R [part 1], we created a simple map of Texas ports with R, ggplot2, and geom_sf. That map was really just a “rough draft.” It’s not terrible, but it didn’t look great either. This week, we’re going to take that map and polish it up a little bit. … Read more
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, wondering where our toilet paper is going to come from. I’m being a … Read more
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 lot myself. But recently, since I began … Read more
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 of a series of tutorials that show how to analyze data with R. … Read more
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, we created a process to retrieve several related covid19 … Read more
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 to create a repeatable process for data retrieval and cleaning. … Read more
In the last several tutorials, we’ve been analyzing and working with covid-19 data. This is the second week of April, and the covid-19 epidemic has become a worldwide crisis. In any crisis … in any environment where you need to make decisions, you need good information. Data science can help. So in this series of … Read more