One of the most common questions I get from data science students is which programming language should I learn for data science, R or Python? The short answer is “it depends.” Both R and Python have strengths and weaknesses as data science languages, or as broader programming languages. So here in this blog post, I … 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
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
This tutorial is part of a series of R tutorials analyzing covid-19 data. For parts 1 and 2, see the following posts: https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part1-data-wrangling/ https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part-2-merge-datasets/ Covid19 analysis, part 3: initial data exploration So far in our R data analysis series, we’ve spent some time getting and wrangling our data. In part1, we retrieved a single covid19 … Read more
This tutorial is part of a series of R tutorials analyzing covid-19 data. For part 1, see the following post: https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part1-data-wrangling/ Covid19 analysis, part 2: merge datasets In this tutorial, we’re going to set up a process that will enable us to retrieve and wrangle some necessary covid19 datasets … data that we’ll need for … Read more
In this tutorial, we’re going to analyze covid19 data using R and the Tidyverse. Recently, we started a data analysis series, where we analyzed covid19 data. The first set of these tutorials was performed with Python. That tutorial series was well received, and many people commented that it was very helpful for seeing exactly how … Read more