It's clear that there are some economic shifts happening in the world, if not the US itself. In light of this, I decided to do some simple investigation into the economic performance of US cities. This is, by the way, one of the critical reasons to master data...read more
Your first step to becoming a top-performing data scientist is ….read more
Last week, we created a map of world oil production, by country. This week, I’ll show you how to make a slight modification. I’ll show you how to highlight specific countries according to a variable in your data frame.read more
This week, here’s another map: a map of world oil production that you can create using R.
As I’ve mentioned, projects like this – a few hundred lines of code, with a variety of functions from the tidyverse – are excellent practice for intermediate data scientists.read more
Recently, I was thinking about energy, solar energy, and battery technology, and I got curious about sources of lithium (which is used in batteries and related tech).
Using a few tools from R, I created a map of lithium production within about 15 minutes. Here, I’ll show you how I did it, step by step.read more
To become a great data scientist, you need to master data visualization. One intermediate topic that you’ll need to learn is how to work with color. Specifically, you’ll need to learn how to manipulate the “fill” color of things like density plots …read more
Here at Sharp Sight, we make a lot of maps. There are a few reasons for this. First, good maps are typically ‘information dense.’ You can get a lot of information at a glance from a good map. They are good visualization tools for finding and communicating insights. Second …read more
The ggmap package allows you to download and plot basic maps from Google maps …read more