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
I was thinking the other day about the “fast path” to mastering data science. I think about this a lot, frankly, because our data science courses are designed to be the fastest way to master data science. That’s what we do here at Sharp Sight. But I was thinking about it even more in the … 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
This is a new installment in a series of tutorials showing you how to analyze covid-19 data with Python. In the last few tutorials, we’ve done quite a bit of work. For part 1, we retrieved the dataset for “confirmed” cases, and “wrangled” it into shape. In part 2, we retrieved the files for confirmed, … Read more
This tutorial is part of a series of tutorials analyzing covid-19 data. For parts 1, 2, and 3, see the following posts: https://www.sharpsightlabs.com/blog/python-data-analysis-covid19-part1/ https://www.sharpsightlabs.com/blog/python-data-analysis-covid19-part2/ https://www.sharpsightlabs.com/blog/analyzing-covid-19-with-python-part-3-eda/ Covid19 analysis, part 4: visual data exploration So far in this tutorial series, we’ve focused mostly on getting data, particularly in parts 1 and 2. Most recently, in part 3, … Read more